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Field-oriented control strategy for double-stator single-rotor and double-rotor single-stator permanent magnet machine: Design and operation Comput. Electr. Eng. (IF 2.663) Pub Date : 2021-01-17 Aymen Flah; Irfan Ahmad Khan; Anshul Agarwal; Lassaad Sbita; Marcelo Godoy Simoes
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Synchronization Techniques in “Device to Device- and Vehicle to Vehicle-Enabled” Cellular Networks: A survey Comput. Electr. Eng. (IF 2.663) Pub Date : 2021-01-13 Mahmoud Abbasi; Amin Shahraki; Hamid R. Barzegar; Claus Pahl
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An intelligent hybrid interfacing converter of fuel cell powered telecom loads for efficient power conversion Comput. Electr. Eng. (IF 2.663) Pub Date : 2021-01-06 Kaleeswari Muthusamy; Madheswaran Muthusamy; Rajvir Kaur; Vijayakumar Krishnasamy
This paper is a step towards ‘green telecom tower’ by eliminating the diesel generator from telecom power supply. The fuel cell based power supply has been proposed for telecom towers in remote and rural areas. The challenge of meeting the prerequisite of telecom power supply which are reliability and regulated DC distribution bus voltage in the environment of fuel cell is addressed by proposing the
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Pixels to Classes: Intelligent Learning Framework for Multiclass Skin Lesion Localization and Classification Comput. Electr. Eng. (IF 2.663) Pub Date : 2021-01-05 Muhammad Attique Khan; Yu-Dong Zhang; Muhammad Sharif; Tallha Akram
A novel deep learning framework is proposed for lesion segmentation and classification. The proposed technique incorporates two primary phases. For lesion segmentation, Mask recurrent convolutional neural network (MASK R-CNN) based architecture is implemented. In this architecture, Resnet50 along with feature pyramid network (FPN) is utilized as a backbone. Later, fully connected layer-based features
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DisepNet for breast abnormality recognition Comput. Electr. Eng. (IF 2.663) Pub Date : 2021-01-05 Xiang Yu; Kaijian Xia; Yu-Dong Zhang
The recognition of breast abnormality, which mainly consists of mass and micro-calcification, plays a critical role in the detection of breast cancer. To facilitate the procedure of making decisions on suspicious regions in mammograms, we proposed a light-weighted deep convolutional neural network (CNN) recognition system termed DisepNet, a light-weighted fully convolutional network that shows promising
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A hybrid feature selection method based on Binary Jaya algorithm for micro-array data classification Comput. Electr. Eng. (IF 2.663) Pub Date : 2021-01-06 Abhilasha Chaudhuri; Tirath Prasad Sahu
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An automated breast cancer diagnosis using feature selection and parameter optimization in ANN Comput. Electr. Eng. (IF 2.663) Pub Date : 2021-01-03 Punitha S.; Fadi Al-Turjman; Thompson Stephan
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Prediction of COVID-19 - Pneumonia based on Selected Deep Features and One Class Kernel Extreme Learning Machine Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-12-30 Muhammad Attique Khan; Seifedine Kadry; Yu-Dong Zhang; Tallha Akram; Muhammad Sharif; Amjad Rehman; Tanzila Saba
In this work, we propose a deep learning framework for the classification of COVID-19 pneumonia infection from normal chest CT scans. In this regard, a 15-layered convolutional neural network architecture is developed which extracts deep features from the selected image samples – collected from the Radiopeadia. Deep features are collected from two different layers, global average pool and fully connected
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Design and implementation of a fault-tolerant system for industrial robots under hostile operating conditions Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-12-31 Claudio Urrea; John Kern; Ricardo López-Escobar
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Instance selection in medical datasets: A divide-and-conquer framework Comput. Electr. Eng. (IF 2.663) Pub Date : 2021-01-01 Min-Wei Huang; Chih-Fong Tsai; Wei-Chao Lin
Instance selection is an important problem in medical data mining. It focuses on selecting representative data samples from a given training set, whereas unrepresentative (or noisy) data samples are filtered out. This reduces the size of the training set, which then requires less storage space. In addition, when the instance selection algorithm was carefully chosen, a reduction in the training set
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Enhancement of new rotor resistance unit for doubly fed induction generator-based wind turbines Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-12-29 M. Kenan Döşoğlu
It is very important to obtain smooth power and limit over-currents in grid-connected doubly fed induction generator (DFIG)-based wind turbines. Therefore, the rotor resistance unit can be used for power and over-currents control in DFIG. However, it may be insufficient to reduce oscillations in large power systems. This study aims to develop a new rotor resistance unit for low voltage ride through
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Metrics for assessing reliability of self-healing software systems Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-12-30 Ali Tarinejad; Habib Izadkhah; Mohammadreza Mollahoseini Ardakani; Kamal Mirzaie
Evaluating the reliability of component-based software systems from their architecture is of great importance. This paper proposes metrics to assess the reliability of software systems considering the self-healing effect of components on software reliability. A self-healing component when being broken, heals itself with a probability and returns to normal conditions. Because designing a self-healing
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Multimodal speech recognition for unmanned aerial vehicles Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-12-30 Dan Oneață; Horia Cucu
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Starvation avoidance-based dynamic multichannel access for low priority traffics in 802.11ac communication systems Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-12-29 Souhila Mammeri; Mohand Yazid; Rahim Kacimi; Louiza Bouallouche-Medjkoune
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A new floating-point adder FPGA-based implementation using RN-coding of numbers Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-12-29 Túlio Araujo; Matheus B.R. Cardoso; Erivelton G. Nepomuceno; Carlos H. Llanos; Janier Arias-Garcia
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Enhanced QoS routing protocol using maximum flow technique Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-12-25 Turki Ali Alghamdi
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Tamper detection technique for document images using zero watermarking in wavelet domain Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-12-24 Balkar Singh; M.K. Sharma
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A vehicle safety monitoring system based on the Internet of things and the identification of physiological characteristics Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-12-23 Zhi-Hao Wang; Gwo-Jiun Horng; Hendrick; Jong Gwo-Jia
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Morphology-based spatial filtering for efficiency enhancement of remote sensing image fusion Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-12-23 Vaibhav R. Pandit; R.J. Bhiwani
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Neural network predictive control of vibrations in tall structure: An experimental controlled vision Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-12-09 Mohsin Jamil; Muhammad Nasir Khan; Saqib Jamshed Rind; Qasim Awais; Muhammad Uzair
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Pixel co-ordinate-based secret image sharing scheme with constant size shadow images Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-12-09 Shravani Mahesh Patil; Purushothama B.R.
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Design of a new BUS for low power reversible computation Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-12-08 D. Krishnaveni; M. Geetha Priya
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Algorithmic implementation of deep learning layer assignment in edge computing based smart city environment Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-12-07 Kyuchang Lee; Bhagya Nathali Silva; Kijun Han
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Design and robustness analysis of an Automatic Voltage Regulator system controller by using Equilibrium Optimizer algorithm Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-12-04 Mihailo Micev; Martin Ćalasan; Diego Oliva
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Pseudo magic cubes: A multidimensional data hiding scheme exploiting modification directions for large payloads Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-12-03 J. Jennifer Ranjani; Fauzan Zaid
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Development of optimum watermarking algorithm for radiography images Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-11-28 Mohamed S. El_Tokhy
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A secure framework for remote diagnosis in health care: A high capacity reversible data hiding technique for medical images Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-11-25 P.V. Sabeen Govind; M.V. Judy
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Illumination normalization techniques for makeup-invariant face recognition Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-11-25 Usman Saeed; Khalid Masood; Hussain Dawood
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Detection and localization of inter-frame forgeries in videos based on macroblock variation and motion vector analysis Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-11-25 Jamimamul Bakas; Ruchira Naskar; Sambit Bakshi
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Mitigating personalization challenges in mobile commerce: An empirical study Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-11-23 Abdallah Qusef; Aalaa Albadarneh; Sameh Elish; Muhanna Muhanna
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Deep learning-based urban big data fusion in smart cities: Towards traffic monitoring and flow-preserving fusion Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-11-23 Sulaiman Khan; Shah Nazir; Iván García-Magariño; Anwar Hussain
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Enhancing prediction of student success: Automated machine learning approach Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-11-24 Hassan Zeineddine; Udo Braendle; Assaad Farah
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Secure and verifiable iris authentication system using fully homomorphic encryption Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-11-23 Mahesh Kumar Morampudi; Munaga V.N.K. Prasad; Mridula Verma; U.S.N. Raju
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Towards the definition of an information quality metric for information fusion models Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-11-21 Horacio Paggi; Javier Soriano; Juan A. Lara; Ernesto Damiani
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Detection of highway lane lines and drivable regions based on dynamic image enhancement algorithm under unfavorable vision Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-11-21 Mingzhou LIU; Qiannan JIANG; Jing HU
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Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-11-20 Wilson Chango; Rebeca Cerezo; Cristóbal Romero
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A trust-based fuzzy neural network for smart data fusion in internet of things Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-11-19 Sunil Kumar Malchi; Suresh Kallam; Fadi Al-Turjman; Rizwan Patan
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Predicting market movement direction for bitcoin: A comparison of time series modeling methods Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-11-19 Ahmed Ibrahim; Rasha Kashef; Liam Corrigan
Many traders participate in activities known as "day-trading", trading Bitcoin against the dollar bill as the United States Dollar (USD) on very short timeframes to squeeze out profits from small market fluctuations. This paper aims to help traders decide how to best act by creating a model that can predict price movement's direction for the next 5-min time frame. Several machine-learning models have
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Simulation and experimental design of adaptive-based maximum power point tracking methods for photovoltaic systems Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-11-19 P. Srinivasarao; K. Peddakapu; M.R. Mohamed; K.K. Deepika; K. Sudhakar
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Insights into demand-side management with big data analytics in electricity consumers’ behaviour Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-11-16 Simona-Vasilica Oprea; Adela Bâra; Bogdan George Tudorică; Maria Irène Călinoiu; Mihai Alexandru Botezatu
The consumption data from smart meters and complex questionnaires reveals the electricity consumers’ willingness to adapt their lifestyle to reduce or change their behaviour in electricity usage to flatten the peak in electricity consumption and release the stress in the power grid. Thus, the electricity consumption can support the enforcement of tariff and demand response strategies. Although the
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IoT Based monitoring and control of fluid transportation using machine learning Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-11-17 Priyanka E. Bhaskaran; C. Maheswari; S. Thangavel; M. Ponnibala; T. Kalavathidevi; N.S. Sivakumar
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A Low-Waste Reliable Adiabatic Platform Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-11-17 Reza Narimani; Bardia Safaei; Alireza Ejlali
Given the importance of reducing energy consumption and the challenge of heat generation in classic CMOS circuits, adiabatic circuits are believed as an appropriate alternative. Most of the adiabatic circuit families come with a dual-rail structure, which provides them with an inherent hardware redundancy. Although this redundancy could be used for improving their reliability, no studies have been
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Effects of the curve type of overcurrent functions and the location of analyzed faults on the optimal coordination of directional overcurrent protections Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-11-06 Elmer Sorrentino; José Vicente Rodríguez
The time-current curve type and the considered fault locations influence the optimal coordination of directional overcurrent protections. It is shown that curve type can determine the feasibility of having solutions and the feasibility of obtaining reasonably low trip times. It is also shown that constraints for faults near to the main relay location must be complemented with those of other fault locations
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A novel Equilibrated scheduling algorithm for multimedia transmission in Internet of Multimedia Things Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-11-04 Hadjer BOUZEBIBA; Mohamed LEHSAINI
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Optimized neural network model for attack detection in LTE network Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-11-04 K. Krishna Jyothi; Shilpa Chaudhari
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FOPID controller with fractional filter for an automatic voltage regulator Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-11-04 Mustafa Sinasi Ayas; Erdinc Sahin
This article presents a novel fractional order proportional–integral–derivative (FOPID) controller with fractional filter for an automatic voltage regulator (AVR) system. The proposed controller has seven independent parameters to be set. These parameters are optimally tuned by using sine–cosine algorithm (SCA) capable of balancing exploration and exploitation phases to find the optimal solution. The
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An electromagnetic strategy to improve the performance of PV panel under partial shading Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-11-02 Ankur Kumar Gupta; Tanmoy Maity; Anandakumar H; Yogesh Kumar Chauhan
The conventional bypass diodes used in solar photo-voltaic panel have side-effects of forward voltage drop, reduction in efficiency and a few operational problems under partial shading condition. In this work, this bypass diode is replaced by an electromagnetic relay through an efficient alternative approach that consumes less power and offers higher efficiency under partial shading condition of solar
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Untangling blockchain technology: A survey on state of the art, security threats, privacy services, applications and future research directions Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-11-01 Bharat Bhushan; Preeti Sinha; K. Martin Sagayam; Andrew J
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Regression coefficients as triad scale for malware detection Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-10-31 Saud S. Alotaibi
The malware detection methods are classified into two categories, namely, dynamic analysis (active analysis) and static analysis (passive analysis). These methods undergo unusual obstruction, and challenges that are process complexity, limitation over detection accuracy. The static method serves to discover malicious applications using various parameters like permission analysis, signature verification
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Embedded decision support system for ultrasound nondestructive evaluation based on extreme learning machines Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-10-31 Lucas C. Silva; Eduardo F. Simas Filho; Maria C.S. Albuquerque; Ivan C. Silva; Claudia T.T. Farias
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Optimization of electric distribution network configuration for power loss reduction based on enhanced binary cuckoo search algorithm Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-10-31 Thuan Thanh Nguyen; Thang Trung Nguyen; Bac Le
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Indian sign language recognition using wearable sensors and multi-label classification Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-10-31 Rinki Gupta; Arun Kumar
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Energy efficient signed and unsigned radix 16 booth multiplier design Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-10-31 Y Mounica; K Naresh Kumar; Sreehari Veeramachaneni; Noor Mahammad S
Low power multiplier unit design is one of Digital Signal Processing (DSP) processors’ requirements to meet the growing demands. Though the higher radix Booth multiplier shows the marginal decrease in the power, the generation of hard multiples in the generation unit becomes the bottleneck in implementing the multiplier unit. This paper proposes an energy-efficient radix-16 Booth multiplier design
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A location-aware power control mechanism for interference mitigation in M2M communications over cellular networks Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-10-22 Sree Krishna Das; Md Farhad Hossain
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Simulations and experimental validation of one cycle controlled nine-level inverter using FPGA Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-10-20 Azhar Ul-Haq; Marium Jalal; Muhammad Aamir; Carlo Cecati; Fahad Bin Muslim; Arsalan Ahmad Raja; Javed Iqbal
This paper presents an extensive simulation-based and experimental validation of One-Cycle Control (OCC) over a nine-level power inverter using Cyclone III FPGA from Intel. OCC is a technique that exploits the nonlinear nature of multilevel power converters to overcome issues such as fast dynamic response, robustness and perturbations on either the source or the load side. Simulations performed in
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Development and verification of a smart remote control system for home appliances Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-10-26 Yi-Nan Lin; Sheng-Kuan Wang; Cheng-Ying Yang; Victor R.L. Shen; Tony Tong-Ying Juang; Wen-Hao Hung
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An enhanced and provably secure multi-factor authentication scheme for Internet-of-Multimedia-Things environments Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-10-24 Khalid Mahmood; Waseem Akram; Akasha Shafiq; Izwa Altaf; Muhammad Ali Lodhi; SK Hafizul Islam
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Corona COVID-19 spread - a nonlinear modeling and simulation Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-10-14 Ahmad M. Harb; Souhib M. Harb
This paper presents a non-linear model to simulate and predict the spreading of the newly discovered disease caused by a new series of a Novel Coronavirus (COVID-19). The mathematical modeling in this study is based on the Susceptible Infected Recovery (SIR) model, where key controlling parameters are considered, namely: human contact factor b, transmit factor (a), health medication factor (m) and
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Multi-resource balance optimization for virtual machine placement in cloud data centers Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-10-22 Wenting Wei; Kun Wang; Kexin Wang; Huaxi Gu; Hong Shen
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An efficient load balancing approach for service function chain mapping Comput. Electr. Eng. (IF 2.663) Pub Date : 2020-10-29 Ali Zamani; Bahador Bakhshi; Saeed Sharifian
Network function virtualization promises a significant advantage for addressing diverse quality of service requirements via chains of Virtual Network Functions (VNFs). Service Function Chain (SFC) mapping, composed of placing VNF in the physical network and routing traffic through them, is the key problem to meet the requirements. In the recent mission-critical applications, delay guarantee and fault
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