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Keyword: DEMVideo Risk Detection and Localization using Bidirectional LSTM Autoencoder and Faster R-CNN
This work proposes a new unsupervised learning approach to detect and locate the risks “abnormal event” in video scenes using Faster R-CNN and Bidirectional LSTM autoencoder. The approach proposed in this work is carried out in two steps: In the first step, we used a bidirectional LSTM autoencoder to detect the frames containing risks. In…
Read MoreImproving of Heat Spreading in a SiC Propulsion Inverter using Graphene Assembled Films
The focus of this work is first to establish the effect of the chip temperature and thermal feedback on the determination of the power loss in a three-phase propulsion inverter, then to demonstrate the possibility of achieving an improved heat spreading through the different layers inside a SiC power module by using graphene assembled films…
Read MoreDiscretisation of Second Order Generalized Integrator to Design the Control Algorithm of Unified Power Quality Conditioner
In this paper, second order generalized integrator (SOGI) is discretized to design the control algorithm of unified power quality conditioner (UPQC). A UPQC is combination two voltage source converter (VSC) and VSC are connected with back to back DC link. The first one VSC is in series to maintain the desire voltage at point of…
Read MoreEnsemble Learning of Deep URL Features based on Convolutional Neural Network for Phishing Attack Detection
The deep learning-based URL classification approach using massive observations has been verified especially in the field of phishing attack detection. Various improvements have been achieved through the modeling of character and word sequence of URL based on convolutional and recurrent neural networks, and it has been proven that an ensemble approach of each model has…
Read MoreExtraction of Psychological Symptoms and Instantaneous Respiratory Frequency as Indicators of Internet Addiction Using Rule-Based Machine Learning
Internet addiction (IA) has adverse effects on psychophysiological responses, interpersonal relationships, and academic and occupational performance. IA detection has received increasing attention. Although questionnaires enable long-term assessment (over 6 months) and physiological measurements to aid the short-term evaluation (over 2 min) of IA, the lack of algorithms results in an inability to detect IA in…
Read MoreDevelopment of Miniaturized Monolithic Isolated Gate Driver
Gate driver has been applied in many ways, exemplified by that, by using the DC-isolated and AC-pass characteristics of gate driver’s primary and secondary sides, the problem of floating endpoint in semiconductor power switch can be solved. However, the conventional design of isolated gate driver provides circuit voltage blocking by optically coupled components. Due to…
Read MoreMachine Learning Algorithms for Real Time Blind Audio Source Separation with Natural Language Detection
The Conv-TasNet and Demucs algorithms, can differentiate between two mixed signals, such as music and speech, the mixing operation proceed without any support information. The network of convolutional time-domain audio separations is used in Conv-TasNet algorithm, while there is a new waveform-to-waveform model in Demucs algorithm. The Demucs algorithm utilizes a procedure like the audio…
Read MoreEmotion Mining from Speech in Collaborative Learning
Affective states, a dimension of attitude, have a critical role in the learning process. In the educational setting, affective states are commonly captured by self-report tools or based on sentiment analysis on asynchronous textual chats, discussions, or students’ journals. Drawbacks of such tools include: distracting the learning process, demanding time and commitment from students to…
Read MoreThe Effect of Myocardial Fat’s Thickness and Myocardial Impedance on Bipolar Radiofrequency Catheter Ablation Using Computer Simulation
Radiofrequency catheter ablation is routinely used for the therapy of cardiac arrhythmias. Compared with the traditional unipolar ablation, bipolar ablation may improve the controllability of treatment, and prevent side effects and complications caused by catheter ablation. In addition, the variations of myocardial fat’s thickness and myocardial impedance may have significant influence on the performance of…
Read MoreQuantum Secure Lightweight Cryptography with Quantum Permutation Pad
Quantum logic gates represent certain quantum operations to perform quantum computations. Of those quantum gates, there is a category of classical behavior gates called quantum permutation gates. As a quantum algorithm, quantum permutation pad or QPP consists of multiple quantum permutation gates to be implemented both in a quantum computing system as a quantum circuit…
Read MoreReal Time RSSI Compensation for Precise Distance Calculation using Sensor Fusion for Smart Wearables
To effectively implement the social distancing or digital contact tracing in epidemic using an RSSI-based localization approach through Bluetooth beacon is one of the most widely used technologies, but simply using RSSI measurement is not more relevant because the RF signal is affected by several factors and the environment of usage. Traditional distance or positioning…
Read MoreDesigns of Frequency Reconfigurable Planar Bow-tie Antenna Integrated with PIN, varactor diodes and Parasitic Elements
This paper presents the designs and the simulations of proposed structures of electronically frequency reconfigurable planar bow-tie antenna. In the first part, a modified wide band self-complementary bow-tie antenna is designed and implemented. In the second part, varactor and PIN diodes are integrated in top side to adjust electronically the modified structure of bow-tie antenna…
Read MoreAn Alternative Approach for Thai Automatic Speech Recognition Based on the CNN-based Keyword Spotting with Real-World Application
An automatic speech recognition (ASR) is a key technology for preventing an ongoing global coronavirus epidemic. Due to the limited corpus database and the morphological diversity of the Thai language, Thai speech recognition is still difficult. In this research, the automatic speech recognition model was built differently from the traditional Thai NLP systems by using…
Read MoreCombustion Flame Temperature Considering Fuel and Air Species and Optimization Process
Estimation of optimal Air or oxygen is important for the combustion process to be efficient and produce more energy. This is to be based on each component of the fuel and the air, considering their respective pressure and density. At first, this research investigates the role of , , present in combination with , and…
Read MoreA New Topology Optimization Approach by Physics-Informed Deep Learning Process
In this investigation, an integrated physics-informed deep learning and topology optimization approach for solving density-based topology designs is presented to accomplish efficiency and flexibility. In every iteration, the neural network generates feasible topology designs, and then the topology performance is evaluated using the finite element method. Unlike the data-driven methods where the loss functions are…
Read MoreAn Efficient Combinatorial Input Output-Based Using Adaptive Firefly Algorithm with Elitism Relations Testing
Combinatorial software testing is regarded as a crucial part when it comes to the software development life cycle. However, it would be impractical to exhaustive test highly configurable software due to limited time as well as resources. Moreover, a combinatorial testing strategy would be to employ input-output-based relations (IORs) due to its benefits versus other…
Read MoreIndustrial Engineers of the Future – A Concept for a Profession that is Evolving
Just as industry is dynamic, constantly evolving according to the state of technology, economics, politics and so on, so must be, higher education. Studies have shown that higher education, for the past century, has constantly adapted to the dynamic skill and knowledge requirements of industry. This adaptation, however, is not always timeous and precise resulting…
Read MoreA Reconfigurable Stepped Frequency Continuous Wave Radar Prototype for Smuggling Contrast, Preliminary Assessment
A reconfigurable Stepped Frequency Continuous Wave (SFCW) radar prototype for supporting the italian financial police to contrast smuggling, is proposed in this work. In particular, the proposed radar can provide information related to the container contents and the presence of false bottoms speeding up the control operations at borders and ports. Moreover, it is able…
Read MoreThe Operational Performance of Mass Transportation Before Covid-19 and New Normal Life: Case Study BRT TransJateng, Central Java
This article examines the operational performance of Bus Rapid Transit (BRT) before the pandemic and a new normal life. Overview of BRT operational performance in terms of the number of passengers transported, load factor and operating ratio. The method used is to compare the conditions before the pandemic and the new era of life. The…
Read MoreAnalyzing the Application of Two Main Microcontrollers in Engineering Education – A Case Study of three IEEE Conferences Focusing on Education
Microcontrollers have revolutionized the field of Engineering Education. Their popularity and cost-effectiveness have opened a large door of activity for innovative projects at both the undergraduate and graduate levels. The purpose of this article is to review this activity in terms of where two of these microcontrollers have been used in Engineering Education so as…
Read MoreParametric Study for the Design of a Neutron Radiography Camera-Based Detector System
The field of view (FOV) and spatial resolution (SR) are the major image quality parameters which are being optimized in neutron radiography (NR) technique. This requires effective components selection during the design of NR detector systems. The selection is a discouraging task owing to often having conflicting experimental requirements and related constraints. In this work,…
Read MorePower Converters and EMS for Fuel Cells CCHP Applications: A Structural and Extended Review
Fuel Cells (FCs) and Combined Cooling, Heating and Power (CCHP) systems are becoming very popular due to their environmental friendliness and immense applications. This extended review paper commenced by introducing the rampant South Africa’s electricity crisis as the basis for the study, followed by some structural analyses of up to forty-four miscellaneous power electronics converters…
Read MorePlummeting Makespan by Proficient Workflow Scheduling in Cloud Environment
Cloud is an Internet-based computing technology in which on-demand shared resources such as software, platforms, repositories, and information are delivered to customers. In the emerging era of computing cloud environment provide the use of resources with the concept of virtualization. Workflow of the tasks has vital role for the improvement of computing performance which leads…
Read MoreMechanical Characterization of Recycled Aggregates Concrete Based on its Compressive Strength
The construction industry has undergone several changes in recent years linked to new laws and international conventions aimed at protecting the environment and combating pollution. Construction industry alone produces tons of waste annually due to debris produced either during construction or during deconstruction. To combat this, companies are forced to control their debris either by…
Read MoreAn Analysis of the Reliability of Reported COVID-19 Data in Western Balkan Countries
More than one year after the outbreak of the COVID-19 pandemic the behavior of figures published by official sources of the countries are skeptical for the public. Many probability tests are used to detect the reliability of information among which Benford’s Law. This study focused on the Western Balkan countries, as one of the foremost…
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