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Oct 5, 2022 Ibrahim Alhamrouni, Mohamed Salem, Awang Jusoh, Tole Sutikno
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Energy consumption by sector in Malaysia is rising significantly, especially for residential and commercial sectors, and is expected to continue to increase in the upcoming years. The existing power generated from a proton-exchange membrane fuel cell (PEMFC) system may be insufficient to sustain peak load demands during peak periods in stationary residential applications. The presence of an ultra-capacitor (UC) bank would be beneficial as a support as it can supply a large burst of power. The...
Topics: energy demands, energy efficiency, PEM fuel cell, PEMFC, stationary applications, ultra-capacitor
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Oct 5, 2022 Radi Radi, Joko Purwo Leksono Yuroto Putro, Muhammad Danu Adhityamurti, Barokah Barokah, Luthfi Fadillah Zamzami, Andi Setiawan
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Electronic nose (e-nose) has been developed and implemented in a wide area, included in food industries. This study was conducted to investigate the performance of an e-nose that utilizes a packed gas chromatography column and a gas sensor for classification of synthetic flavor products. There were six aroma variants of synthetic flavor evaluated, namely durian, jackfruit, ambonese banana, melon, orange and lemon. The e-nose was designed with four main parts, namely aroma provider, column and...
Topics: classification, electronic nose, gas sensor, partition column, synthetic flavor
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This research paper investigates the novel triple remote phosphor layer for improving the remote phosphor’s angular chroma uniformity (ACU) of down-light lamps by using remote micro-patterned phosphor layers (RMPP). In addition, introducing the triple-layer (TL) RMPP is introduced to offer the potential approach to this objective. This analysis also measures the optical efficiency of the layers and the angle distribution of angular correlated color temperature (ACCT). Drawing a comparison...
Topics: dual-layer phosphor, LaVO4:Eu3+, Mie-scattering theory, triple-layer phosphor, ZnS:Cu, Sn
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Oct 5, 2022 Nurfatihah Che Abd Rashid, Noran Azizan Cholan, Kim Gaik Tay, Afiqah Yaacob, Nazrah Ilyana Sulaiman, Khairulanwar Mokhiri, Nor Hafizah Ngajikin
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Optimization of light source wavelength for ammonia detection in surface water is presented in this work. For the ammonia detection, the surface water sample is mixed with sodium chloride and nessler reagent, whereas the sensor head consists of unclad plastic optical fiber. The unclad region has a length of 1 cm and the cladding is removed by immersing it in acetone solution. Experimental results indicate that the output light intensity of the sensor has linear relationship with the ammonia...
Topics: ammonia detection, optical sensor. plastic optical fiber
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The light quality of white-light-emitting diodes (WLEDs), an essential element for the improvement of WLEDs performance, can now be estimated by the angular color uniformity (ACU). In this study, a single micro-patterned layer is used to compare the variations between the traditional remote phosphor (RP) layer and the remote phosphor layer (single remote micro-patterned phosphor film (RMPP) layer). Furthermore, we investigate the application of a novel triple remote phosphor layer to improve...
Topics: color rendering index, dual-layer phosphor, luminous efficacy, Mie-scattering theory, triple-layer...
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Oct 5, 2022 Nur Syafiqah Nadiah Mohd Alias, Faiz Arith, Nur Syamimi Noorasid, Hafez Sarkawi, Ahmad Nizamuddin Muhammad Mustafa, Mohd Muzafar Ismail, Mohd Khanapiah Nor
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Dye sensitized solar cells (DSSC) is one of the promising candidates which are efficient, low-cost, and clean hybrid molecular solar cell devices. Zinc oxide (ZnO) has been widely used as the phoanode in DSSC due to its excellent charge conduction mechanism, yet still suffers from poor cell efficiency. In this study, aluminium doped ZnO (ZnO:Al) and Ni doped ZnO (ZnO:Ni) were studied as photoanode material in DSSC using  solar cell capacitance simulator (SCAPS) simulation, and the electrolyte...
Topics: Al-doped ZnO, buffer layers, DSSC, Ni-doped ZnO, mscaps 1D
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Oct 5, 2022 Kulsum Ara Lipi, Sumaita Faria Karim Adrita, Zannatul Ferdous Tunny, Abir Hasan Munna, Ahmedul Kabir
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Sign language is the communication process of people with hearing impairments. For hearing-impaired communication in Bangladesh and parts of India, Bangla sign language (BSL) is the standard. While Bangla is one of the most widely spoken languages in the world, there is a scarcity of research in the field of BSL recognition. The few research works done so far focused on detecting BSL alphabets. To the best of our knowledge, no work on detecting BSL words has been conducted till now for the...
Topics: BSL, BSL word dataset, convolutional neural network, static-gesture signs
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Oct 5, 2022 Raed Abdulkareem Hasan, Royida A. Ibrahem Alhayali, Mostafa Abdulghafoor Mohammed, Tole Sutikno
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Various researches have been conducted to discover the machinery that led to the evolvement of non-symmetric formation of groups by uncountable marine animals. The huge of tasks comes per unit of time brought obstacles to assign each to particular server, while task assignment have needed a fast strategy to make decision. Artificial fish affect the environment through their behavior and the behavior of their peers. Creating a synthetic fish model has two parts: variables and functions which...
Topics: cloud computing, fish swarm algorithm, job scheduling, load balancing, resource allocation
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Doctors and pathologists have long been concerned about determining the malignancy from cell images. This task is laborious, time-consuming and needs expertise. Due to this reason, automated systems assist pathologists in providing a second opinion to arrive at accurate decision based on cytology images. The classification of cytology images has always been a difficult challenge among the various image analysis approaches due to its extreme intricacy. The thrust for early diagnosis of cervical...
Topics: cytology image, DCT transform, Haar transform, machine learning, pap smear
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Oct 5, 2022 Zahraa Najm Abdullah, Zinah Abdulridha Abutiheen, Ashwan A. Abdulmunem, Zahraa A. Harjan
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Deep learning has gained high popularity in the field of image processing and computer vision applications due to its unique feature extraction property. For this characteristic, deep learning networks used to solve different issues in computer vision applications. In this paper the issue has been raised is classification of logo of formal directors in Iraqi government. The paper proposes a multi-layer convolutional neural network (CNN) to classify and recognize these official logos by train...
Topics: CNN, deep learning, features extraction, learning, logo recognition
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Oct 5, 2022 Pongsatorn Sungboonlue, Satisa Thanakaew, Kittisak Rangseepanya, Teramate Tangpatong, Thitirat Siriborvornratanakul
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User interface (UI) and user experience (UX) design is fundamental to the stickiness of any application. Food delivery is no exception. With the food delivery business sector on the rise during the coronavirus disease 2019 (COVID-19) pandemic, it is necessary for any newcomers in the market to at least match the must-have feature lists of the major players. However, Robinhood, despite having a niche in societal responsibility, is still a food delivery app that is found to lack some of the...
Topics: HCI design and evaluation methods, human-centered computing, Human-computer interaction, usability...
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Oct 5, 2022 Sofianita Mutalib, Mohd Alif Izhar, Shuzlina Abdul-Rahman, Mohd Zaki Zakaria, Mastura Hanafiah
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The development of mobile apps with augmented reality (AR) would enhance the capability in visualizing the scene or environment. Any apps supported by computer aided design versions with 3D models makes the design more realistic, such as in the form of websites or mobile apps. However, the current features for online platforms for shopping are quite limited and lack 3D visualization features. This paper presents the development of a mobile application, pro-visualizer app called PRO-VAS, that...
Topics: augmented reality, mobile apps, RGB-D camera, visualization, vslam
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Oct 5, 2022 R. Wahyu Tri Hartono, Sakinah Puspa Anggraeni, Fajri Habibie Suwanda, Eka Pratiwi, Regina Nur Shabrina, Vina Fitriana
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E-CityFarm is an electronic system that can control the parameters needed to grow fish and plants integratedly. It can control temperature, water acidity, and utilizing the neural network method able to count the number and length of fishes also their weight. The weight will be directly proportional to the need for feed. In E-CityFarm, various variables are processed by multitasking, therefore real time operating system (RTOS) is used. RTOS has several advantages in terms of: concurrency,...
Topics: E-CityFarm, multitasking, neural network, real time, RTOS
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Oct 5, 2022 Hayder Adnan Saleh, Rana Amer Sattar, Enas Mohammed Hussein Saeed, Dalael Saad Abdul-Zahra
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In the majority of gene expression investigations, selecting relevant genes for sample classification is considered a frequent challenge, with researchers attempting to discover the minimum feasible number of genes while yet achieving excellent predictive performance. Various gene selection methods employ univariate (gene-by-gene) gene relevance rankings as well as arbitrary thresholds for selecting the number of genes, are only applicable to 2-class problems and use gene selection ranking...
Topics: feature selection, machine learning, meerkat clan, random forest
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Oct 5, 2022 Ade Hodijah, Urip Teguh Setijohatmo, Ghifari Munawar, Gita Suciana Ramadhanty
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This research is about the application of multi-threaded and trie data structures to the support calculation problem in the Apriori algorithm. The support calculation results can search the association rule for market basket analysis problems. The support calculation process is a bottleneck process and can cause delays in the following process. This work observed five multi-threaded models based on Flynn’s taxonomy, which are single process, multiple data (SPMD), multiple process, single data...
Topics: Apriori algorithm, Flynn’s taxonomy, indexing, multi-threaded, trie data structure
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Oct 5, 2022 Nguyen Minh Hai, Thanh The Van, Tran Van Lang
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Semantic extraction for images is an urgent problem and is applied in many different semantic retrieval systems. In this paper, a semantic-based image retrieval (SBIR) system is proposed based on the combination of growth partitioning tree (GP-Tree), which was built in the authors’ previous work, with a self-organizing map (SOM) network and neighbor graph (called SgGP-Tree) to improve accuracy. For each query image, a similar set of images is retrieved on the SgGP-Tree, and a set of visual...
Topics: data mining, image retrieval, ontology, SBIR, similar image
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Oct 5, 2022 Raniasa Putra, Kiagus Muhammad Sobri, Azhar Azhar, Anang Dwi Santoso
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Given that electronic filing is one of the earliest e-government services in Indonesia, additional research is needed to determine the antecedents of service users’ perceived net benefit. The e-government system success model by DeLone and McLean was used in this study, however trust factors were added to the government, technology, and e-government websites as antecedents. 195 individual taxpayers were sent a questionnaire including 39 statements as part of the study examination. Data were...
Topics: e-filing, Indonesia. system benefit, trust in technology
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Oct 5, 2022 M. Zainal Arifin, Ahmad Naim Che Pee, Sarni Suhaila Rahim
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On the e-learning system, student assignments are collected, but problems arise that based on observations from two classes of database courses, 73% of students make plagiarism so lecturers need to give motivation to students. Self motivate is needed by with a group of students. For this reason, using a bolzano method or bisection method will provide an overview of the development of the plagiarism trend between groups of students based on scores on similarity score that compute by PageRank...
Topics: Bolzano method, eigenvalues, PageRank, plagiarism network, trend analysis
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Oct 5, 2022 Israa Ezzat Salem, Haider Rasheed Abdulshaheed, Hassan Muwafaq Gheni
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Telemedicine platforms have emerged as one of the most harnessed studies in recent years, especially after the spread of pandemics. Due to the epidemic, telemedicine distribution to rural or isolated areas has become an urgent need. However, there are several obstacles to providing remote medical care, the most significant of which is protecting patient data while sustaining the speed of communication between the patient and the medical staff. The significant of this study is to provides a...
Topics: Diffie Hellman encryption, IoT chaotic cryptographic, IoT system, lightweight crypto, telemedicine...
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Oct 5, 2022 Julian Wesley, Fifilia Fifilia, Cynthia Catrine, Dennis Antony, Ferdian Rizky Estefan
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This research aims to create a web-based application for sharing questionnaires. The developed features are creating questionnaires, sharing questionnaire in the dashboard, filter the questionnaire as the requested criterias, exchange the rewarded coins for gifts, export questionnaire data to a document, set a limit for the questionnaire for each device. The development will be using data collecting using questionnaire and literature study. Then, software development life cycle (SDLC) waterfall...
Topics: design, features, online, questionnaire, web based
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Oct 5, 2022 Hoang Quang Trung, Xuan Bui
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Latent Dirichlet allocation (LDA) is an important probabilistic generative model and has usually used in many domains such as text mining, retrieving information, or natural language processing domains. The posterior inference is the important problem in deciding the quality of the LDA model, but it is usually non-deterministic polynomial (NP)-hard and often intractable, especially in the worst case. For individual texts, some proposed methods such as variational Bayesian (VB), collapsed...
Topics: latent dirichlet allocation, posterior inference, stochastic optimization, topic models
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A wideband deltoid leaf fractal antenna is proposed for 5.8 GHz commonly used in industrial scientific and medical (ISM) and wireless local area networks (WLAN) applications. A microstrip patch antennas is designed with leaf shape radiating element. Using a leaf shape, it is possible to increase the perimeter of a design and thus reduce the overall dimensions of the antenna. A circular ring slot is made on the leaf shaped radiator, in a way that a circular disc is loaded at centre. Triangular...
Topics: band width enhancement, deltoid leaf antenna, fractal antenna, HFSS, WLAN
Classification becomes one of the important elements in the forward scatter radar (FSR) micro-sensors network. This classification performance is dependent on the target’s profile behaviour and the network’s surrounding; and one of the factors that cause the reduction of classification probability is the presence of ground clutter. As the volume of clutter increases, their masking effect becomes greater and may result in more significant errors in target classification. Hence, to reduce...
Topics: clutter reduction technique, forward scatter radar, radar clutter, target classification
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In this work, high-speed transmission over the long-haul optical channel using orthogonal frequency division multiplexing (OFDM) was investigated. Furthermore, we recommend mixing polarization division multiplexing (PDM) with coherent OFDM (CO-OFDM) and quadrature amplitude modulation (16-QAM) to improve spectral efficiency (SE) while transmitting over a wavelength division multiplexing (WDM) system. An 800 Gb/s WDM PDM-CO-OFDM-16QAM transmission system with various channel spacing of 100 GHz,...
Topics: channel spacing, CO-OFDM, G.654.E, large effective area, SE, ultra-low loss, WDM
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Aug 2, 2022 Muhammad Nuruddin Ar Rabbani, Andriazis Dahono, Arwindra Rizqiawan, Pekik Argo Dahono
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Bidirectional DC-DC converters with very low ripple contents in the input and output sides are desirable in many applications. This paper proposes a new family of bidirectional DC-DC converters with very low input and output ripples that is derived from the conventional Cuk DC-DC converter. At first, a new family of single-phase DC-DC converter is derived. Then, extension of this family into the multiphase ones is presented. Output voltage expressions of the proposed DC-DC converters are...
Topics: Cuk converter, DC-DC converter, multiphase, ripple, topology
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Aug 2, 2022 Hashmia S. Dakheel, Zainab B. Abdullah, Najat Shyaa Jasim, Salam Waley Shneen
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In the current era, researchers have been active in confirming and achieving their work through simulation using the computer program Matlab, in addition to the comparison between different control methods is also one of the prevailing behaviors, and the focus has been on the use of electrical machines in industry through multiple applications. Researchers in this study selected type of electric motors and two types of control systems for comparison, and to verify the possibility of improving...
Topics: artificial neural networks, DCSM, performance characteristics, PID controller
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Aug 2, 2022 Habib Satria, Syafii Syafii, Rudi Salam, Moranain Mungkin, Welly Yandi
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This article describes the design of a data system to integrate energy conversion from photovoltaic measurements connected to the power grid. The software used is visual studio, while the hardware uses polycrystalline photovoltaic (PV) with a capacity of 2.08 kW and several sensors that have been integrated into Arduino. Parameter data in measuring the performance of this PV system consists of temperature and humidity sensors to measure the panel surface, direct current (DC) current sensor, DC...
Topics: data logger, microcontroller arduino uno, photovoltaic, visual studio
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Aug 2, 2022 Abhiram Tikkani, Polaki V. N. Prasad
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Two-level inverter control with type-1 and type-2 fuzzy logic-based space vector pulse-width modulation (PWM) method for induction motor drive (IMD) is presented in this paper. A new sampling time independent strategy with type-1 and type-2 fuzzy based methods are used in generating three phase duty ratios which are directly obtained without mathematical equations. The conventional method of space vector modulation (SVM) produces the duty ratios for the inverter which are sampling time...
Topics: induction motor, pulse width modulation, space vector modulation, type-1 fuzzy logic, type-2 fuzzy...
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Aug 2, 2022 Akinwale Oluwaseyi Fadamiro, Fujiang Lin
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This paper presented a compressive sensing (CS) calibration technique that simultaneously measures all the element excitations of a 2×2 active phased antenna array (APAA) instantaneously. The power patterns of the rectangular 2×2 APAA element are synchronized to orthogonally cross multiplicative sub-array system applying compressive sensing in achieving an array thinning along two 1-D sub-arrays for a fixed steered beam radiation. The far field radiation pattern direction of the 2×2 APAA is...
Topics: antenna arrays, antenna measurements, calibration, compressed sensing, fault diagnosis
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Aug 2, 2022 Elisha D. Markus, Frank Kulor, Michael W. Apprey, Kafui T. Agbevanu
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Present-day advancements in embedded systems have uncovered a wide area of innovation in inexpensive supportive systems for the visually impaired. Right from the uncomplicated white cane up to the most exceptional electronic walking stick, many designs have been proposed aiming at assisting and protecting visually challenged persons. This paper aims at contributing to these assistive aids by designing a bamboo stick sensor-based unit with ultrasonic and water detection sensors which is robust,...
Topics: assistive mobility, bamboo stick, ultrasound sensor, visually impaired, water detection sensor
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Aug 2, 2022 Ademola Abdulkareem, Tobiloba Emmanuel Somefun, Victoria Oguntosin, Princess Oahimire
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Over the past five decades, obstructive sleep apnea has been noted as a prevalent symptom in adults with escalated health conditions like stroke, obesity, high blood pressure, cardiovascular complications and chronic kidney diseases; to mention but a few. Apnea hypopnea index (AHI) is the average number of apnea or hypopnea events which occur during a complete sleep cycle per hour. It is a measure of determining the severity of sleep apnea, where an index range of 5 to 15 indicates mild, 15 to...
Topics: apnea hypopnea index, automation, sleep apnea diagnosis, wireless
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Aug 2, 2022 Maha A. Rajab, Kadhim M. Hashim
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One of the most convenient biometrics approaches for identifying a person is dorsal hand veins recognition. In recent years, the dorsal hand veins have acquired increasing attention because of its characteristics such as universal, unique, permanent, contactless, and difficulty of forging, also, the veins remain unchanged when a human being grows. The captured dorsal hand veins image suffers from the many differences in lighting conditions, brightness, existing hair, and amount of noise. To...
Topics: contrast enhancement, correct recognition rate, correlation coefficient, noise removing, veins...
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Aug 2, 2022 Shihab A. Shawkat‎‎, Israa Al-Barazanchi
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Data security and protection is one of the most common technologies used in the field of computer  ‎ science. This is because of its great importance in all fields related to daily life, whether political,  ‎ economic, and other aspects change. In this research paper, a new intelligent system  ‎ that  ‎ concentrates on image  ‎ and text encryption and decryption is proposed.  ‎ Furthermore,  ‎ the image recognition rate is increased. In this paper,  ‎ the Rivest Shamir...
Topics: DCT techniques fourth, information security second, encryption, MSE, PSNR, RSA3k, XOR
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Aug 2, 2022 Hasan M. Kadhim, Alaa H. Ahmed, Saif A. Abdulhussien
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The study is a comparison between the statistical properties of pitch (F0) for mask-wearing speech and unmasked. The speakers are Arab, of different ages and genders. A robust algorithm for pitch tracking (RAPT) is used for estimating F0. The subjective tests denote that masked speech is attenuated, and noisy-background speech has fewer F0 candidates. Using objective tests, 60% of female and male F0s do not change when wearing masks. The remaining 40% of speech F0s change (the percentage gross...
Topics: arabic language, F0, masked-face speech, PDA, pitch
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Aug 2, 2022 Erna Alimudin, Hanung Adi Nugroho, Teguh Bharata Adji
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Breast cancer is one of the dominant causes of death in the world. Mammography is the standard for early detection of breast cancer. In examining mammograms, the overall parenchyma pattern of the left and right breast was placed side by side for symmetry assessed of left and right breast tissue by radiologist. Thus, in building computer-aided diagnosis (CAD) system for screening mammography, it is necessary to adapt the working procedure of the radiologist. In this study, 30 training images and...
Topics: EBP, GLCM, histogram, mammogram, similarity measurement
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Aug 2, 2022 Heru Pramono Hadi, Edi Faisal, Eko Hari Rachmawanto
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Research on brain tumor segmentation has been developed, ranging from threshold-based methods to the use of the deep learning algorithm. In this study, we proposed a region-based brain tumor segmentation method, namely the active contour model (ACM). Tumor segmentation was carried out using fluid attenuated inversion recovery (FLAIR) modality magnetic resonance imaging (MRI) image data obtained from the multimodal brain tumor image segmentation benchmark (BRATS) 2015 dataset of 86 images. The...
Topics: active contour model, brain tumor, MRI, multi-level threshold, segmentation
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Aug 2, 2022 Bashra Kadhim Oleiwi Chabor Alwawi, Ali Fadhil Yaseen Althabhawee
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In this study, an end-to-end human iris recognition system is presented to automatically identify individuals for high level of security purposes. The deep learning technology based new 2D convolutional neural network (CNN) model is introduced for extracting the features and classifying the iris patterns. Firstly, the iris dataset is collected, preprocessed and augmented. The dataset are expanded and enhanced using data augmentation, histogram equalization (HE) and contrast-limited adaptive...
Topics: biometric security systems, convolutional neural network, deep learning, histogram equalization...
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Aug 2, 2022 Mohamed A. Torad, Belgacem Bouallegue, Abdelmoty M. Ahmed
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The objective of this work is to take a step further in this direction by incorporating voice control and artificial intelligence (AI) into internet of things (IoT)-based smart home systems to create more efficient automated smart home systems. Accordingly, a home automation system proposal is presented, in which the related functions can be controlled by voice commands using an android or web application via a chat form. The user issues a voice command, which is deciphered by natural language...
Topics: arduino, AI, chat form, IoT, NLP, raspberry pi
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Aug 2, 2022 Ririn Regiana Dwi Satya, Eriyatno Eriyatno, Andes Ismayana, Marimin Marimin
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Identification of recorded information is the most important requirement for developing an effective traceability system. This paper aimed to develop an information technology (IT)-based traceability system combined with an intelligent system in potato chips agro-industry. In this paper, we present a business process in potato chips agro-industry which consists of three activities, i.e. raw materials receiving, processing, and warehousing of final products. First of all, a traceability system...
Topics: ANFIS, FIS, IDSS, potato chips agro-industry, traceability
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Aug 2, 2022 Saad-Eddine Chafi, Younes Balboul, Mohammed Fattah, Said Mazer, Moulhime El Bekkali, Benaissa Bernoussi
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Cloud computing and the low power wide area network (LPWAN) network represent the key infrastructures for developing intelligent solutions based on the internet of things (IoT). However, the diversity of use cases and deployment scenarios of IoT in the different domains makes optimizing IoT-based cloud solutions a major challenge. The cloud solution’s cost increases with the increase in central processing unit (CPU) resources and energy consumption. The optimal use of edge material resources...
Topics: IFogSim, IoT, monitoring application, placement strategy, quality of service
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Our world today relies heavily on informatics and the internet, as computers and communications networks have increased day by day. In fact, the increase is not limited to portable devices such as smartphones and tablets, but also to home appliances such as: televisions, refrigerators, and controllers. It has made them more vulnerable to electronic attacks. The denial of service (DoS) attack is one of the most common attacks that affect the provision of services and commercial sites over the...
Topics: artificial bee colony algorithm, DoS attack, network security, network traffic, particle swarm...
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Aug 2, 2022 Ahmed Hashim Mohammed, Rawaa Mohammed Abdul Hussein
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Pervasive and ubiquitous computing has enabled people better integrate physical things into the digital world. The internet of things (IoT) has been considerably more widely used in business and everyday life in the last decade. Innovative healthcare information and communication technologies are a vast field of research and applications that need IoT benefits, including speed, security, and low cost. The proposed modified advanced encryption standard (AES)-cipher block chaining (CBC)-based...
Topics: AES-CBC, electronic health, internet of thing blockchain, security services
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Aug 2, 2022 Lina A. Salman, Ashwaq T. Hashim, Ahmed M. Hasan
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Primary challenges are the identification, segmentation, and extraction of the afflicted area from the scanning of magnetic resonance. However, it is a time-consuming and tiresome for clinical specialists. In this paper, an automated brain tumor system is proposed. The proposed system employs hybrid image processing techniques such as contrast correction, histogram normalization, thresholding techniques, arithmetic, and morphological operations to quarantine nearby organs and other tissue from...
Topics: arithmetic operations, brain MRI, contrast correction, morphological operations, skull stripping,...
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Aug 2, 2022 Yousra Abdul Alsahib S. Aldeen, Haider Mohammed Abdulhadi
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New advance and integrated technologies have changed the traditional systems and convert these systems into more intelligent, feasible and cost effective systems. In all data communications domain, data gathering is one of the significant task performed by using any techniques, tools and devices. Wireless sensor networks (WSN) also gained popularity in various fields where the sensor node sensed the information by using sink or gateway nodes and further send to central units for decision...
Topics: clustering, data delivery, energy, network, network lifetime, node, WSN
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Aug 2, 2022 Mohamed Labiod, Zoubir Mahdjoub, Mohamed Debab
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In this paper, a novel multi-frequency microstrip antenna with complementary ring slot resonator (CRSR) structure that satisfies Bluetooth, worldwide interoperability for microwave access (WiMAX), and wireless local area network (WLAN) applications is proposed. The conventional antenna consists of a circular microstrip patch at a resonance frequency band of 2.5 GHz. By loading two CRSR at the radiating element, three operating frequency bands 2.5 GHz, 3.6 GHz, and 5.2 GHz are achieved. The...
Topics: complementary ring resonator, pin diode, planar monopole, reconfigurable antenna, WiMAX, WLAN
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Aug 2, 2022 Pham Minh Nam, Thanh-Long Nguyen, Ha Duy Hung, Tran Trung Duy, Nguyen Thanh Binh, Nguyen Luong Nhat
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This paper measures end-to-end (e2e) throughput of power beacon-assisted multi-hop decode-and-forward (DF) relaying scheme adopting non-orthogonal multiple access (NOMA) and transmit antenna selection (TAS)/selection combining (SC). Particularly, TAS/SC and NOMA are adopted at each hop to relay different data of a source to multiple destinations. Moreover, the transmitters including source and relays have to harvest wireless energy from radio frequency (RF) signals from a power beacon. We also...
Topics: multi-hop relaying networks, NOMA, TAS/SC, throughput, wirelessly energy harvesting
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Aug 2, 2022 Yasser Asrul Ahmad, Ahmad Fadzil Ismail, Khairayu Badron
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Ku-band have a larger attenuation during heavy rain in the equatorial region. Despite that, Ku-band has been identified as a frequency band in high-throughput satellite systems (HTS) for broadband satellite communication. The available rain fade prediction models are still not able to accurately predict rain attenuation in the equatorial region. The models depend on the specific attenuation parameters produced based on the international telecommunication union radiocommunication sector (ITU-R)...
Topics: equatorial region, high-throughput satellite, ku-band, rain attenuation, specific attenuation
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Aug 2, 2022 Farhad E. Mahmood, Fawaz Y. Abdullah
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In the fifth generation of wireless communication systems (5G), the millimeter wave (mmWave) signal can be affected by many challenges in irregular environments such as dust and sand storms. In this paper, we investigate the attenuation that faces a mmWave link signal in a dusty environment for different sizes of dust particles. Further, we derive a model to calculate the total attenuation in mobile communication systems and/or internet of things (IoT) in different base stations highnesses. The...
Topics: base station height, dust attenuation, internet of things, MmWave propagation, mobile communications
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Aug 2, 2022 Sura Adil Abbas, Nael A. Al-Shareefi
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Secure quantum key distribution (QKD) promises a revolutionizing in optical applications such as encryption, and imaging. However, their implementation in real-world scenarios continues to be challenged. The goal of this work is to verify the presence of photon number splitting (PNS) attack in quantum cryptography system based on BB84 protocol and to obtain a maximum secure key length as possible. This was realized through randomly interleaving decoy states with mean photon numbers of 5.38,...
Topics: BB84 protocol, decoy states protocol, PNS, quantum cryptography
In this paper, we design a secure transmission scheme in uplink and downlink of non-orthogonal multiple access (NOMA) system. In this scenario, two pairs of base stationuser can operate under the presence of eavesdropper. The relay plays an important role to forward signals from group of base stations to serve distant users. However, the eavesdropper can overhear signal which leads to secure performance need be reconsidered. To provide secure performance, we derive the closed-form expressions...
Topics: NOMA, physical layer security, SPSC
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Jun 3, 2022 Nadia Zendehdel, Danyal Bustan
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With increasing penetration of renewable energies into modern power systems, supporting grid required ancillary services become a challenging problem. Wind turbines, as one of the main sources of renewable energies, has some inherit features which can be employed to support ancillary services for utility grids. One of the key requirements of grid operators is active power control for frequency regulation. But this requirement cannot be addressed with traditional wind turbine controllers as...
Topics: Active power control, Delta power control, Mechanical loads, Wind turbine
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Jun 3, 2022 Phan-Thanh Nguyen, Trieu Ton Ngoc, Cong-Trang Nguyen
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In this paper, an attenuated-chattering adaptive second order variable structure controller (ACASOVSC) is proposed for mismatched uncertain systems using a Moore-Penrose inverse method. The key achievements of this study include three tasks: 1) influence of the chattering in control input is diminished, 2) finite-time convergence of system states is guaranteed, and 3) external disturbance is generally assumed to be unknown in advance. Firstly, a switching manifold which comprises only output...
Topics: Chattering removal, Mismatched uncertainty, Reduced-order estimator, Unknown disturbance, Variable...
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Jun 3, 2022 Wuwus Ardiatna, Nurdina Gita Pratiwi, Siddiq Wahyu Hidayat, Prayoga Bakti, Asep Rahmat Hidayat, Ihsan Supono
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One of the parameters to be tested on the sphygmomanometer is the deflection of the dial. The testing method based on the standard uses manual air pressure to increase the pressure so that the dial is pointed to the desired pressure. This paper proposed an automatic testing method using a proportional-integral-derivative (PID) controller based on arduino to control the pressure. The result shows that the system is not suitable to use. The process capability index at each given setpoint is less...
Topics: Aneroid, Arduino, Capability index, Optimation, PID, Sphygmomanometer
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Jun 3, 2022 An Thi Hoai Thu Anh, Nguyen Van Quyen
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Tracking the optimal speed profile in electric train operation has been proposed as an efficient and feasible solution for not only reducing energy consumption, but also no at costs to upgrading the existing railway systems. This paper focuses on finding the optimal speed profile based on Pontryagin’s maximum principle (PMP) while ensuring the fixed running time, and comparing energy saving levels in the cases of applying or not applying PMP. The way to determine the fixed running time also...
Topics: Energy-efficient operation methodology, Energy-saving, Metro system, Pontryagin’s maximum...
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Jun 3, 2022 Phuc Dang Huu, Phung Ton That, Tran Thanh Trang, Phan Xuan Le, Nguyen Doan Quoc Anh
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Quantum dots (QDs) is considered as a potential material for the improvement of light-emitting diodes (LEDs). However, different from the traditional phosphor materials, they have unique scattering and absorption properties affected by their several nanometers sizes, which makes their application in the production of LED confront more challenges. In addition to this, their influences on QDs-converted LEDs (QCLEDs) are rarely investigated. So as to propose solutions for those problems, in this...
Topics: Color uniformity, Luminous flux, Mie-scattering theory, TiO2
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Jun 3, 2022 Ahmad Rifhan Salman, Mohd Muzafar Ismail, Jeefferie Abd Razak, Siti Rosmaniza Ab Rashid
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Previously, the antenna conductive patch was made of copper, which was costly, susceptible to multi-fading, bulky, environmentally sensitive, and difficult to produce. Because of their exceptional electrical conductivity and superior strength to metal, while remaining versatile, the miracle nanotechnology of graphene has made them a possible candidate to replace uncompromising copper metallic content. As a result, graphene is incorporated into conductive silver nanocomposites in this work. With...
Topics: Graphene, Silver, Textile substrate, Wearable antenna, Wireless communication
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Jun 3, 2022 Irza Hartiantio Rahmana, Amalia Rizki Febriyani, Indra Ranggadara, Suhendra, , Inna Sabily Karima
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Rice is the primary staple food source for Indonesian people, with consumption increasing so that rice production needs to be increased. Rice drought is one of the problems that can hamper rice production. This research aims to determine the best extraction feature between the normalized difference vegetation index (NDVI) and the normalized difference water index (NDWI) in describing rice fields’ dryness. Moreover, using the random forest regression algorithm. This research compares NDVI with...
Topics: Drought, Logistic regression, NDVI, NDWI, Random forest regression
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Jun 3, 2022 Ali Ahmad Aminu, Nwojo Nnanna Agwu, Steve Adeshina, Muhammed Kabir Ahmed
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In recent times, numerous digital image manipulation detection approaches have been proposed to detect which processing operations were applied to manipulate digital images. Most of these approaches consider the situation in which an image is manipulated by only one manipulation operation. However, practical image manipulation often involves multiple manipulation operations. It is important to detect multiple image manipulation operations and the order in which they were applied to establish...
Topics: Convolutional neural network, Image manipulation chain, Image manipulation detection, Local feature...
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Jun 3, 2022 Shaimaa Hameed Abd, Bassam H. Abd, Ivan A. Hashim, Shaimaa H. Shaker
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Different application like image segmentation, moving objects detection and objects tracking, required an object detection and segmentation techniques. Recently, these techniques become so important especially when only a specific part of image is important. This research paper presents an efficient algorithm that employed for objects detection and extraction process. This algorithm consists of a several steps and the validity of this algorithm is measured based on different denomination of...
Topics: Edge detection, Image segmentation, Iraqi dinnar, Object detection, Object extraction
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Full ferning is the peak of the formation of a salt crystallization line pattern shaped like a fern tree in a woman’s saliva at the time of ovulation. The main problem in this study is how to detect the shape of the salivary ferning line patterns that are transparent, irregular and the surface lighting is uneven. This study aims to detect transparent and irregular lines on the salivary ferning surface using a comparison of 15 pre-trained convolutional neural network models. To detect...
Topics: Deep learning, Fern-like lines, Frangi filter, ResNet34, Salivary ferning
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Jun 3, 2022 Edi Ismanto, Hadhrami Ab Ghani, Nurul Izrin Md Saleh, Januar Al Amien, Rahmad Gunawan
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A comprehensive systematic study was carried out in order to identify various deep learning methods developed and used for predicting student academic performance. Predicting academic performance allows for the implementation of various preventive and supportive measures earlier in order to improve academic performance and reduce failure and dropout rates. Although machine learning schemes were once popular, deep learning algorithms are now being investigated to solve difficult predictions of...
Topics: Data preprocessing, Deep learning, Deep neural network, Students’ performance, Systematic review
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Jun 3, 2022 Hoang-Sy Nguyen, Thanh-Khiet Bui
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This paper investigates the implementation of the household low-power energy harvesting (LoPEH) wireless sensor networks (WSN) over log-normal fading channels. The relays are battery-operated and the stochastic harvested energy flow to the batteries is characterized with the Markov property of energy buffer status. The communication is established with the combination of direct link and cooperative relays. The best relay is chosen based on a relay selection (RS) scheme namely optimal relay...
Topics: Log-normal fading, Low-power network, Markov model, Outage probability, Relay selection
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Jun 3, 2022 Enas Ali Jameel, Sameera Abbas Fadhel
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X-rays images are a popular medical diagnoses method. These images are hard to read and to be understandable outside the medical community. However, the radiologist writes a report of the X-ray. This report can be understandable easily which, can impact the privacy of the patients’ medical records. To tackle this issue, in this work, X-ray image steganography algorithm based on Sudoku mathematical game is proposed. The method converts the image into triangular shaped blocks. Subsequently, the...
Topics: Steganography, Sudoku method, Turtule shell hiding algorithm, X-ray images
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Jun 2, 2022 Teddy Mantoro, Muhammad Anton Permana, Media Anugerah Ayu
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Everyday criminal issues appear on social media, even some crime news is often disturbing to the public but it gives a warning to the public to remain careful and alert to the surrounding environment. However, following large amounts of crime information on social media is not effective, especially for busy people. Therefore, there is a need to efficiently and effectively summarize information in a way that is meaningful and easy to see, attracts people’s attention, and can be used by law...
Topics: Classification, Index crime, Patterns of crime, Social media, Text mining
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Jun 2, 2022 Alaa Ghazi Abdulbaqi, Ghadah A. Al-Sakkal, Yasir Hashim
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This research paper is to define new rule to find the divisibility of stream of binary on any prime numbers 3, 5, 7 …… with reminder 0. In general, the divisibility of binary numbers is most important in many digital circuits and mathematical applications. This paper explains this new rule for evaluating the divisibility of any binary number on any prime number greater than 2. This rule will depend on separating the binary number into blocks of bits then processes each block separately in a...
Topics: Binary, Divisibility, Evaluating, Number, Prime
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Jun 2, 2022 Hussein M. Mohammad, Alharith A. Abdullah
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The restricted devices have a small memory, simple processor, and limited power. To secure them, we need lightweight cryptography algorithms, taking into account the limited specifications. Lightweight cryptography (LWC) algorithms provide confidentiality and maintain information integrity for devices with limited resources. This paper improves and enhances advanced encryption standard (AES) algorithm by reducing algorithm computation power and improving cryptography performance from the point...
Topics: AES Algorithm, Continued fraction, Lightweight AES algorithm, Security analysis
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Jun 2, 2022 Ojo Abayomi Fagbuagun, Obinna Nwankwo, Samson Adebisi Akinpelu, Olaiya Folorunsho
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Accurate interpretation of chest radiographs outcome in epidemiological studies facilitates the process of correctly identifying chest-related or respiratory diseases. Despite the fact that radiological results have been used in the past and is being continuously used for diagnosis of pneumonia and other respiratory diseases, there abounds much variability in the interpretation of chest radiographs. This variability often leads to wrong diagnosis due to the fact that chest diseases often have...
Topics: Chest radiograph, Deep learning, Diagnosis, Neural network, Pneumonia
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This paper presents the design of a reconfigurable planar inverted-F antenna (PIFA). The proposed antenna is designed and optimized to operate in two frequency bands. 2.4 GHz allocated to the industrial, scientific and medical (ISM) band for the identification of a set of vehicules within a given area, and 1.575 GHz allocated to the global positioning system (GPS) band to locate them outside. The ISM band is used for microwave frequencies for active radio frequency identification (RFID) tag,...
Topics: GPS, ISM, PIFA, PIN diode, Reconfigurable antenna, RFID tag
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Jun 2, 2022 Salah-Eddine Didi, Imane Halkhams, Mohammed Fattah, Younes Balboul, Moulhime El Bekkali
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In this paper, we present a study and design of a rectangular-shaped microstrip patch antenna with a rectangular shaped slot at the operating frequency is 28GHz, for fifth generation (5G) wireless applications, using the microstrip line technique for feeding. The objective of this slot is to contribute to the improvement of antenna performance. This antenna is built on a Roger RT duroid 5880 type substrate having a relative permittivity equal to 2.2, a height of h = 0.5 mm, and a loss tangent...
Topics: 28GHz, 5G, CST, HFSS, Microstrip patch antenna, Millimeter-wave, Slot patch
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Jun 2, 2022 Atikah Balqis Basri, Khairayu Badron, Ahmad Fadzil Ismail, Abadi Chanik
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Free space path loss (FSPL) is the loss of electromagnetic signal strength. This loss is caused by the line-of-sight path through free space. Even in a line of sight (LoS) indoor single layer, as the distance increases, the path loss in the 1 GHz frequency band also exceeds the free space path loss. This is because the first Fresnel zone is shielded by the floor and ceiling. To improve the measurement results, a fully covered anechoic chamber is used in this empirical measurement. The...
Topics: EMC chamber, FSPL, Microwave link, Receiver, Transmitter
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Jun 2, 2022 Shaik Asif Hussain, Jyothi Chinna Babu, Raza Hasan, Salman Mahmood
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The Euclidean geometry (EG) based low-density parity check (LDPC) codes are enciphered and deciphered in various modes. These algorithms have the back-and-forth between decoding delay, and power usage, device unpredictability resources, and error rate efficacy are all available with these methods. As a result, the goal of this paper is to develop a comprehensive method to describe both soft and burst error bits for optimal data transfer. As a result, for EG-LDPC codes, a hybrid soft bit...
Topics: EG-LDPC codes, Hybrid SBF algorithm, LDPC decoder, Medical applications, Signal transmission
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Jun 2, 2022 Neelima Koppala, Chennapalli Subhas
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The error detecting and correcting codes are used in critical applications like in intensive care units, defense applications, and require highly reliable data. This brief focuses on codes to detect and correct adjacent errors within a single clock cycle by using modulo-2 addition of data bits for parity generation, syndrome calculation, error location identification and correction by improving code rate and minimizing bit overhead. The optimal parity codes devised can correct odd number of...
Topics: Adjacent error, Bit overhead, Code rate, Matrix code, Parity bits
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Jun 2, 2022 Sadiq Ahmed, Zaid A. Abdul Hassain, Hussein A. Abdulnabi, Mohammed Al-Saadi
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In this paper, a compact configuration of zeroth-order resonator antenna is described. The unit cell zeroth-order resonator properties are introduced by composite right/left-handed transmission line approach is fed by coplanar waveguide. The proposed resonator is analyzed by changing the coupling space and stub length of the unit cell. The size of implemented resonator is (0.185 λ0 × 0.185 λ0 × 0.027 λ0) at the centre frequency. In this work, a zeroth-order resonator antenna design with...
Topics: Composite right/left-handed, Metamaterials, Zeroth-order resonator antenna
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Jun 2, 2022 Fatima Ouberri, Abdelali Tajmouati, Noha Chahboun, Larbi El Abdellaoui, Mohamed Latrach
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The requirement for applications operating at a variety of frequencies in a unified wireless device has greatly enhanced in recent years. For this purpose, multi-functional wireless components are essential. This paper presents a new design of a wideband circularly-polarized microstrip antenna array with defected ground structure (DGS). A previous design was introduced which cover the C-band at 5.8 GHz and operates in the industrial scientific medical (ISM) band for wireless communication...
Topics: Array antenna, Circular polarization, DGS, ISM band, Wideband, Wireless power transmission
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Jun 2, 2022 Ashutosh Singh Chauhan, Priyansh Kasyap, Ankit Gupta, Debani Prasad Mishra, Surender Reddy Salkuti, Seong-Cheol Kim
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A planar antenna with broadband gestalt is presented for mobile networks. The structure of the antenna is made up of a folded dipole pair with an L-figure microstrip coupling line. The microstrip coupling along with the dipoles are attached on a similar substrate. The radiation parts are plotted at 1.7 GHz, 2.2 GHz, and 2.7 GHz. A flexible coaxial cable made of perfect electric conductor (PEC) material is attached to the L-figure microstrip whereas the outside conductor made up of RO4350B...
Topics: 2G/3G, CST microwave studio, Dipole antenna, Microstrip antenna, Mobile communication
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The paper demonstrates an enhancement in the mobile robot’s performance during trajectory tracking with static obstacles. An adaptive artificial neural network (ANN) control methodology with online tuning evolutionary slice genetic algorithm is used for the motion control of the nonlinear dynamics mobile robot system. This paper aims at locating the optimal path from the starting point to the target point and designing an ANN trajectory tracking control methodology. The algorithm is simulated...
Topics: mobile robot, neural network controller, path planning, slice genetic algorithm, tajectory tracking
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The article describes a large scale of rectangular light source design comprised of six different types of high-power light emitting diodes (LEDs). The new modular based on the LED solar simulator with the greatest size using the symmetrical LED positioning method. The experiment provided the irradiation of the solar simulator in the class AAA over 416 cm 2 . The rectangular LED module illustrated the uniform distribution of the irradiance across the sample plane area. It reached the class A of...
Topics: high-power LEDs, large scale solar simulator, rectangular LED module, spectrum match
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Electric potential energy or kinetic energy produces electrical energy. The integration of electrical current and potential yields the energy that is deliverable to the end user via electrical circuitries. There are various techniques used to produce electric energy. Typically, electricity is generated by using fossil fuels or natural gas. However, these resources are facing the extinction problem. Thus, another established method to generate electricity is by using water flow pressure in...
Topics: basin material, basin radius, electricity, hydroelectric generator, voltage
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Apr 5, 2022 TELKOMNIKA
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Dielectric characterization is very essential before the material can be utilized in designing microwave networks. Circular cylindrical resonators have been widely used for material characterization, but it is not a preferable design during the measurement of liquid samples as the sample placement requires repetitive process of opening and closing the lid of the cavity. This repetition procedure easily affects the accuracy of measurement and may lead to a measurement error. In this study, a...
Topics: complex permittivity, dielectric properties, distilled water, material characterization, resonator...
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This paper aim to provide a basic fundamental knowledge for researchers on underwater remotely operated vehicle (ROV) system and current trend of ROV controller. The vehicle is used for exploration, investigation or inspection of underwater environment as a replacement of human due to human limitation. It can dive deeper than human and can be manoeuvred into hazard environment. In this paper, the basic development and classification of ROV is discussed. The modelling of ROV, manoeuvrability and...
Topics: remotely operated vehicle, ROV controller, ROV modelling, system identification
Many applications which require accurate location point positioning systems utilize global position system for pseudosciences. One of the main challenges faced by the system occurs due to the inherent errors that are a resultant of outliers. This considerably reduces the accuracy of the observations of global position system device. In this paper, we briefly introduce the problem of position estimation when the pseudo range measurements have an outlier. Moving horizon estimation algorithm has...
Topics: global positioning system, moving-horizon estimation, outliers
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Apr 5, 2022 TELKOMNIKA
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Robotic maze pathfinding problems deal with detecting the correct route from the start point to the end-point in a virtual maze environment consisting of walls. Automated robot mobility is a significant feature, which enables a mobile robot to traverse a maze independently, from one position to another, without human intervention. There is a myriad of autonomous industrial mobile robot applications, including the transportation of goods and parts, domestic cleaning, indoor security...
Topics: left-hand algorithm, maze-solving, mobile robot, virtual maze
This paper presents the design of a genetic algorithm (GA) based full order state observer for a compressor system. The observer measures the compressor system parameters and computes the difference between the measured output and the setpoint, which is used as feedback to the active surge controller. The proposed control structure with a GA tuned compressor characteristic is required to minimize system oscillations and energy losses induced by the piston actuation gas recycling technique. The...
Topics: active surge control, centrifugal compressor, full order state observer, genetic algorithm,...
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Remote sensing is an advanced technique that can be used to detect hydrocarbons on land, and its advantages include rapid and low-cost detection. The detection of hydrocarbons on the surface is essential for environmental monitoring and the purpose of exploration. For oil and gas companies, the ability to locate hydrocarbon spill sites is important information for the success of future exploration wells. This study aimed to determine the quantities of hydrocarbons mixed with the soil as an...
Topics: interpolation, landat-8, NDVI, oil spill, thermal radiation
The problem with the acquisition of satellite imagery in the tropics, especially in the area around the equator is that it is almost covered by clouds throughout the year. Users need cloud cover information and the possibility of obtaining cloudless satellite images before they get the data. An overview of the availability of cloud coverage distribution, especially those presented in a spatial format, was very beneficial and increased efficiency for users to select image data in the area of...
Topics: blended cloud removal model, high-resolution image, quick look image, satellite image
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Apr 5, 2022 TELKOMNIKA
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In this work we study some methods of storing data in the cloud for a given time using secret sharing technology. Such problems are especially relevant in the context of the rapid development of the internet of things (IoT). Chips, smart cards and other physically small devices, as a rule, have significant memory limitations, so there is a need to use cloud storage as an auxiliary tool for secure data storage. We present method for secure storing data in distributed servers, provided that...
Topics: client-server communications, cloud computing, IoT, secure cloud storage, secure data storage,...
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This new work presents a home automation system which employs internet of things (IoT) technology. This technology streamlines the design with an accurate home automation system which guides against the issues of energy wastage and excessive expenditure on the present systems of the utility company and the consumers. The system deploys a 32-bit ESP8266 system on chip (SoC) wireless fidelity (Wi-Fi) module which is linked to some sensors through a microcontroller for data communication. User...
Topics: automation, energy conservation, internet of things, smart home
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With the huge advance in artificial intelligence and the rapid development of intelligent swarm algorithms, the exploration of facility layout problem (FLP) with its non-deterministic polynomial-time (NP-Hard) nature has gained much more attention. The squirrel search algorithm is one of the swarm algorithms that is known for its effective gliding feature that provides cheap exploration of lengthy distances. In this work, Msqrl algorithm is presented as a modification of squirrel search...
Topics: combinatorial optimization, facility layout planning, squirrel search algorithm, swarm intelligence
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Over the last two years, most scientists have been researching the solution to the pandemic coronavirus disease 2019 ( COVID-19). So, the effective inspection and the rapid diagnosis of COVID-19 provide a mitigation ability to the burden on healthcare systems. These research works focus on detecting and knowing the history of infection in terms of time and developed symptoms. In infections detection, artificial intelligence (AI) technologies increase the accuracy and efficiency of the adopted...
Topics: AI, COVID-19 detection, false-negative RT-PCR, IgG, IgM, machine learning, RT-PCR
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One of the ways to detect coronavirus disease of 2019 (COVID-19) is X-rays, computerized tomography (CT). This paper aims to detect COVID-19 from CT images without any user intervention. The proposed algorithm consists of 5 stages. These stages include; the first stage aims to collect data from hospitals and internet websites, the second stage is pre-processing stage to remove noise and convert it from red green blue (RGB) to grayscale and then improve image quality, the third is the...
Topics: artificial intelligence, COVID-19, FFBPN, medical imaging, rasbperry pi, SVM
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Apr 5, 2022 TELKOMNIKA
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Insect pests are posing a significant threat to agricultural production. They live in different places like fruits, vegetables, flowers, and grains. It impacts plant growth and causes damage to crop yields. We presented an automatic detection and classification of tomato pests using image processing with machine learning-based approaches. In our work, we considered texture features of pest images extracted by feature extraction algorithms like gray level co-occurrence matrix (GLCM), local...
Topics: DT, GLCM, HOG, K-NN, LBP, SURF, SVM
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Most haematological diseases can be diagnosed using the morphological analysis of the microscopic blood image. The basic routine of the morphological analysis can be performed using the microscopic device which requires the skills and experiences of the haematologists. An inexperienced haematologist can lead to critical human errors. Therefore, this paper aims to propose an automated classification system used to classify different types of leukocytes based on the convolution neural network...
Topics: convolution neural network, haematological diseases, microscopic blood images, VGG-19
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Apr 5, 2022 TELKOMNIKA
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Some large companies have difficulty in providing products even though the products are still available in the warehouse. Based on these problems, a solution is needed in managing cosmetic products and can find the right strategy so that it can increase business in the field of sales and improve sales services by using algorithms in data mining that can overcome these problems, such as clustering techniques that use the K-means clustering algorithm as a way to measure proximity data between...
Topics: data analysis, data mining, K-means clustering
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The very close involvement of technology in the banking industry makes almost all banking activities and products currently dependent on information technology (IT). PT BPRS Bhakti Sumekar (PT BBS Bank) is one of the banks that realizes the importance of IT in the digital era and has included IT as part of the company's strategic plan. The company states that compliance with regulations, best practices, and standards is key to a successful IT implementation. In this study, the measurement of...
Topics: COBIT, IS/IT management, IT governance, performance management
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Cloud users have recently expanded dramatically. The cloud service providers (CSPs) have also increased and have therefore made their infrastructure more complex. The complex infrastructure needs to be distributed appropriately to various users. Also, the advances in cloud computing have led to the development of interconnected cloud computing environments (ICCEs). For instance, ICCEs include the cloud hybrid, intercloud, multi-cloud, and federated clouds. However, the sharing of resources is...
Topics: cloud computing, cloud monitoring, cloud resource management, federated cloud
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This paper proposes two attenuation factors (AF’s) to improve the performance of the soft-output Viterbi algorithm (SOVA) as well as to enhance the early termination mechanism in turbo decoding. The mean square difference between the systematic bipolar coded symbols and the a-posteriori information is used to estimate the first AF. The second AF is computed online for each iteration based on the correlation coefficient between the extrinsic and a-priori information instead of intrinsic...
Topics: attenuation factor, early termination, SOVA, turbo code
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Apr 5, 2022 TELKOMNIKA
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The soon to be deployed 5G systems are expected to cater an agglomerate of services at profuse data rates wirelessly. Radio over fiber (RoF) networks are the most suitable to implement such systems. In situations where the practical implementation of RoF systems are non-viable, radio over free space optical (RoFSO) links can be employed. The traditional wavelength division multiplexing (WDM) technology can be incorporated to multiply the data rates. However, the link performance may be degraded...
Topics: 5G, communication, free space optics, multiplexing, optical wireless, radio over fiber, wavelength...
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A novel series fed dual band stacked microstrip patch antenna (SMPA) offering circular polarization (CP) over wide beam is proposed for Indian regional navigation satellite system (IRNSS). The antenna is designed to function at far apart dual frequencies 1.176 GHz (L5 band) and 2.492 GHz (S band) intended for the receiver terminals of IRNSS system. The dual band performance with large frequency ratio (about 1:2.1) has been obtained by two stacked patches with an air layer between them. The...
Topics: axial ratio (AR), circular polarization (CP), dual band, IRNSS, stacked microstrip patch antenna...
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For wireless broadband communication long-term evolution (LTE) is a standard for also mobile devices and data terminals, by using different radio interface together with core network improvements LTE increases the capacity and speed of mobile network. In this paper radio frequency receiver of radio-frequency long-term evolution (RF-LTE) is design and simulated using MATLAB Simulink, where the design based on illustrating parameters of each stage in LTE RF receiver from generating LTE waveform...
Topics: CCDF, EVM, radio receiver, RF-LTE
Vehicular ad hoc network (VANET) is a modern technology that has received great attention in the modern era due to daily road accidents. In VANET network it is difficult to design effective routing protocols due to the speed of movement of nodes and the rapid change in network architecture, and the purpose of routing protocols in the VANET network is to route data between vehicles (V2V), and between vehicles to infrastructure (V2I). Recently researchers have been interested in designing...
Topics: AODV, MDORA-WD, VANET