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Keyword: LossSharpniZer: A C# Static Code Analysis Tool for Mission Critical Systems
Until recent years, code quality was not given due significance, as long as the system produced accurate results. Taking into account the implications and recent losses in critical systems, developers have started making use of static code analysis tools, to assess the eminence of source code in terms of quality. Static code analysis is conducted…
Read MoreReliability Improvement of Radial Distribution System by Reconfiguration
In a radial distribution system, component failure leads to service interruption and subsequent disconnection of a few load points. An abnormal variation in the voltage levels and high power loss gives rise to reliability issues. In this work, feeder reconfiguration is performed to improve reliability, minimize voltage deviation and power loss. A Binary Particle Swarm…
Read MoreC-Band FMCW Radar Design and Implementation for Breathing Rate Estimation
In this paper, a portable Frequency Modulated Continuous Wave (FMCW) radar system was designed and implemented for human movements and breathing detection. The radar operates with a frequency band ranges from 4.7 to 4.9GHz. The radar sub-systems were designed and simulated using up to date computer-aided-design tools before implementation. The Voltage Controlled Oscillators (VCO), high…
Read MoreLoad Evaluation with Fast Decoupled-Newton Raphson Algorithms: Evidence from Port Harcourt Electricity
The undulated power supply has dropped to its worst reliability index in most parts of the city despite the installations of distribution transformers to improve the power. In this work, examination of Port Harcourt Town Zone 4 (Z4), Rivers State power distribution system forcing on its operation, planning for future expansion of the system, and…
Read MoreInnovative Solution for Parking-Sharing of Private Institutions Using Various Occupancy Tracking Methods
This work presents an innovative solution for parking-sharing of private institutions based on daily occupancy patterns and using different real time tracking methods of vacant parking slots. The research objective consists in finding the most accurate cars detection method, for determining of vacant parking slots and updating them on application web page. Beside the technical…
Read MoreContextual Word Representation and Deep Neural Networks-based Method for Arabic Question Classification
Contextual continuous word representation showed promising performances in different natural language processing tasks. It stems from the fact that these word representations consider the context in which a word appears. But until recently, very little attention was paid to the contextual representations in Arabic question classification task. In the present study, we employed a contextual…
Read MoreBISINDO (Bahasa Isyarat Indonesia) Sign Language Recognition Using CNN and LSTM
Sign language is one of the languages which are used to communicate with deaf people. By using it, they can communicate and understand each other. In Indonesia, there are two standards of sign language which are SIBI (Sistem Bahasa Isyarat) and BISINDO (Bahasa Isyarat Indonesia). Deep learning is a model that is used to apply…
Read MoreA Review of RPL Objective Function based Enhancement Approaches
Since the release of of the IPv6 Routing protocol for Low-Power and Lossy Networks by the IETF ROLL working group, several enhancement schemes were proposed. In fact, They aim to extend the network lifetime, reduce congestion, mitigate end to end delay and moderate energy consumption. In fact, considering the vast area of Low-Power and Lossy…
Read MoreConvolutional Neural Network Based Classification of Patients with Pneumonia using X-ray Lung Images
Analysis and classification of lung diseases using X-ray images is a primary step in the procedure of pneumonia diagnosis, especially in a critical period as pandemic of COVID-19 that is type of pneumonia. Therefore, an automatic method with high accuracy of classification is needed to perform classification of lung diseases due to the increasing number…
Read MoreMitigating Congestion in Restructured Power System using FACTS Allocation by Sensitivity Factors and Parameter Optimized by GWO
In modern deregulated power industry, private sector has invested a lot to supply for extended power demand using the preexisting power system framework. This resulted into increased loading of transmission lines which has to work now to hit their thermal limits. The overloading of transmission line resulted in congestion and hence increase in loss of…
Read MoreAssessing the Operator’s Readiness to Perform Tasks of Controlling by the Unmanned Aerial Platforms
Together with the intensity of development in the field of technology of unmanned platforms and their effective use for solving various tasks of peacetime and war, the requirements for the training of the operator managing the platform also increase. This fully applies to personnel providing the flight of manned means. Nevertheless, there are significant differences…
Read MoreFraud Detection Call Detail Record Using Machine Learning in Telecommunications Company
Fraud calls have a serious impact on telecommunications operator revenues. Fraud detection is very important because service providers can feel a significant loss of income. We conducted a fraud research case study on one of the operators that experienced fraud in 2009 and 2018. Call Detail Record (CDR) containing records of customer conversations such as…
Read MoreA Perturbation Finite Element Approach for Correcting Inaccuracies on Thin Shell Models with the Magnetic Field Formulation
This research makes the improvement of the errors surrounding edges and corners of thin electromagnetic regions by means of the magnetic field finite element formulation. Classical thin shell electromagnetic models are usually replaced by impedance-type interface conditions throughout surfaces that ignore errors in the calculation of the local fields (magnetic vector potentials, magnetic fields, eddy…
Read MoreFace Recognition on Low Resolution Face Image With TBE-CNN Architecture
Face recognition in low resolution images has challenges in active research because face recognition is usually implemented in high resolution images (HR). In general, research leads to a combination of pre-processing and training models. Therefore, this study aims to classify low-resolution face images using a combination of pre-processing and deep learning. In addition, this study…
Read MoreA Systematic Literature Review of Vessel Anomaly Behavior Detection Methods Based on Automatic Identification System (AIS) and another Sensor Fusion
The high flow of vessel traffic affects the difficulty of monitoring vessel in the middle of the sea because of limited human visibility, occurrence of vessel accidents at the sea and other illegal activities that illustrate abnormal vessel behavior such as oil bunkering, piracy, illegal fishing and other crimes that will continue and will certainly…
Read MoreIn Body Antenna for Monitoring and Controlling Pacemaker
This paper is an extension of work originally presented in 2019 International Conference on Automation, Computational and Technology Management (ICACTM). A micro-strip patch in-body designed antenna is constructed on pacemaker to monitor and control the pacemaker wirelessly. The antenna is intended for ISM (Industrial, Scientific, and Medical) band (2.4 GHz to 2.48 GHz). A perfect…
Read MoreOptimization of the Feeding Point Location of Rectangular Microstrip Patch Antenna
Microstrip patch antennas (MPAs) are comfortable and have better anticipation compared to traditional antennas. Not only the weight of this type of antennas is lighter but also, they have little capacity, minimum price, reduced in measurement as well as affluence of fiction then observance. Recently, it has been many times reevaluated for the improvement of…
Read MoreA Multi-Objective Voltage Optimization Technique in Distribution Feeders with High Photovoltaic Penetration
With increasing photovoltaic (PV) penetration on distribution feeders, voltage functions is always a challenge. To control these variations due to the intermittent nature of PV generation,many utility companies use the traditional voltage regulating devices such as ON/OFF load tap changers, voltage regulators, switched capacitor banks and reactors. The use of smart inverters (SI) has been…
Read MoreA Balanced RF Power Amplifier using the Improvement 3-dB Quadrature Hybrid Couplers for Mitigation of the Reverse Intermodulation in FM Broadcasting Systems
FM broadcast stations generate reverse intermodulation signals that cause communication problems between ATC controllers and pilots in the Air Traffic Control systems (ATC) in Thailand. In this paper proposes a balanced RF power amplifier using the improvement 3-dB quadrature hybrid couplers to reduce the reverse intermodulation of FM broadcasting systems. The mathematics analysis of the…
Read MoreLocalization of Emerging Leakages in Water Distribution Systems: A Complex Networks Approach
Water distribution networks are infrastructural systems designed for providing potable water to consumers. In these last decades, the importance of assessing and identifying emerging leakages has become a primary issue, because of the high level of water loss characterizing such systems worldwide. In this paper, a new approach aimed at the prompt localization of leakages…
Read MoreSmart Meter Data Analysis for Electricity Theft Detection using Neural Networks
The major problem in electric utility is Electrical Theft, which is harmful to electric power suppliers and causes economic loss. Detecting and controlling electrical theft is a challenging task that involves several aspects like economic, social, regional, managerial, political, infrastructural, literacy rate, etc. Numerous methods were proposed formerly for detecting electricity theft. However, the previous…
Read MoreQuantitative Traffic Congestion Analysis Approach in Ahmedabad
This study is the extension of the previous study about “Traffic Service Quantitative Analysis Method under Developing Country” in 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI). In the previous study, it is introduced how to make quantitative calculation for traffic congestion by traffic parameters and its characteristics curve such as traffic…
Read MoreA Comprehensive Review on the Feasibility and Challenges of Millimeter Wave in Emerging 5G Mobile Communication
This article presents a comprehensive review on the feasibility and challenges of millimeter wave in emerging fifth generation (5G) mobile communication. 5G, a multi-gigabit wireless network is the next generation wireless communication network. The mmWave cellular system which operates in the 30-300 GHz band has been proposed for use as the propagation channel. Its large…
Read MoreNovel Design of Multiband Microstrip Patch Antenna for Wireless Communication
This paper presents a novel six band frequency reconfigurable antenna for 2.4 GHz (Lower Worldwide Interoperability for Microwave Access (WiMAX)), 5.3 GHz (Wireless Local Area Network (WLAN)) and 9.1-10.2 GHz (X-band) frequency bands. The proposed antenna has a compact size of 22mm_30mm at lower resonance of 4.2 GHz and is printed on FR4 material with…
Read MoreDetection the Places of the Heat Energy Leak on the Underground Thermal Pipelines Using the Computer System
The purpose of this paper is to improve the thermographic method for detection the places of heat energy losses on the urban underground thermal pipelines using the computer system. This goal was achieved by building a heat map of the surveyed heating main with data layering directly on a computer map of the area, which…
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