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Keyword: ICIRobust Adaptive Feedforward Sliding Mode Current Controller for Fast-Scale Dynamics of Switching Multicellular Power Converter
Higher efficiency and lower losses are widely considered as the best metrics to optimize, in a high-power converter performance context. To provide a solution to the ever-increase of high switching frequencies challenges, we must explore soft-switching technologies to resolve interface issues and reduce the switching losses. This manuscript describes a comparative analysis between the fixed-bandwidth…
Read MoreFault Diagnosis and Noise Robustness Comparison of Rotating Machinery using CWT and CNN
For systems using rotating machinery, diagnosing the faults of the rotating machinery is critical for system maintenance. Recently, a machine learning algorithm has been employed as one of the methods for diagnosing the faults of rotating machinery. This algorithm has an advantage of automatically classifying faults without an expert knowledge. However, despite a good training…
Read MoreRecording of Academic Transcript Data to Prevent the Forgery based on Blockchain Technology
Diploma certificate and transcript forgery is a serious issue in education. The government is still finding the best way to prevent and minimize this issue in the future. The diploma certificate and transcript are very easy to duplicate, not only from third parties. Even the university can easily produce a fake diploma certification and transcript…
Read MoreThe Ecosystem of the Next-Generation Autonomous Vehicles
Autonomous vehicles (AVs) technology is expected to provide many benefits for the society such as providing safe transportation to the community and reducing the number of accidents on the roads. With the emergence of AVs, the conventional safety infrastructure in which humans drive their vehicles will need to be upgraded in order to take full…
Read MorePerformance Evaluation of a Gamified Physical Rehabilitation Balance Platform through System Usability and Intrinsic Motivation Metrics
Motivation significantly influences the outcome in the rehabilitation of patients. Several developments have been made to assess and increase patient motivation by addressing factors linked to motivation such as the personality of the patient, professional administering rehabilitation, and the rehabilitation environment. The main objective of the study is to evaluate the reliability of a gamified…
Read MoreParameters Degradation Analysis of a Silicon Solar Cell in Dark/Light Condition using Measured I-V Data
In this paper, we investigate and analyze parameters degradation in a typical photovoltaic (PV) cell, which lead to power loss under dark as well as light condition using measured current-voltage (I-V) data. A nonlinear least squares method to extract the parameters such as the reverse saturation currents, the ideality factors, the series and shunt resistances…
Read MoreThe Performance of Project Teams Selected Based on Student Personality Types: A Longitudinal Study
The use of heuristic methods in teaching is not possible without the cooperation of all or part of the students’ academic group. That is, the teacher who made the decision to apply the heuristic method de facto solves the issues of organizing project method in teaching. There are a large number of indications on the…
Read MoreModeling and Design of a Compact Metal Mountable Dual-band UHF RFID Tag Antenna with Open Bent Stub Feed for Transport and Logistics Fields
In this paper, we have modeled and designed a metal mountable tag antenna that is applied to cover two major UHF RFID bands, i.e., European (EU) (865-867 MHz) and U.S. bands (902-928 MHz). It is applied for many applications, especially in the transport and logistics fields. The tag antenna configuration utilizes microstrip configuration with open…
Read MoreClassifying Garments from Fashion-MNIST Dataset Through CNNs
Online fashion market is constantly growing, and an algorithm capable of identifying garments can help companies in the clothing sales sector to understand the profile of potential buyers and focus on sales targeting specific niches, as well as developing campaigns based on the taste of customers and improve user experience. Artificial Intelligence approaches able to…
Read MoreRedlich-Kister Finite Difference Solution for Solving Two-Point Boundary Value Problems by using Ksor Iteration Family
In this paper, we are concerned to investigate the efficiency of the second-order Redlich-Kister Finite Difference (RKFD) discretization scheme together with the Four Point Explicit Group Kaudd Successive Over Relaxation (4EGKSOR) iterative method for solving two-point boundary value problems (TPBVPs). In order to apply this block iteration to solve any linear system, firstly we discretize…
Read MoreProcrustes Dynamic Time Wrapping Analysis for Automated Surgical Skill Evaluation
Classic surgical skill evaluation is performed by an expert surgeon examining an apprentice in a hospital operating room. This method suffers from being subjective and expensive. As surgery becomes more complex and specialized, there is an increase need for an automated surgical skill evaluation system that is more objective and determines more exactly the skills…
Read MoreMethod of Technological Forecasting of Market Behaviour of R&D Products
The current concept of open innovation corresponds to the R&D products transfer model – “role changes”. One of the fundamental provisions of the model is that R&D products are considered for commercialization not only at the final stage of technological readiness, but at any of them. In today’s changing market environment, special attention is paid…
Read MoreDiagnosis of Tobacco Addiction using Medical Signal: An EEG-based Time-Frequency Domain Analysis Using Machine Learning
Addiction such as tobacco smoking affects the human brain and thus causes significant changes in the brainwaves. The changes in brain wave due to smoking can be identified by focusing on changes in electroencephalogram pattern, extracting different time-frequency domain features. In this aspect, a laboratory-based study has been presented in this paper, for assessing the…
Read MoreA Surface Plasmon Resonance (SPR) and Water Quality Monitoring: A System for Detecting Harmful Algal Bloom
Harmful algal blooms (HAB) or “Red tides” are organisms which produce toxins which are harmful to humans, fish, and other marine mammals. The said toxins come from dinoflagellates of genus Pyrodinium Bahamense var Compressum that cause Paralytic Shellfish Poisoning (PSP) and Dinophysis Caudata and Prorocentrum lima which results to Diarrhetic Shellfish Poisoning (DSP). In the…
Read MoreRecording of Student Attendance with Blockchain Technology to Avoid Fake Presence Data in Teaching Learning Process
University operational activities are a routine part of university operations and supervisory control and monitoring function. The low controlling and monitoring of operational activities can cause irrelevance in the teaching and learning process. A graduate may have a graduation document but has never attended the teaching and learning process. An official institution can issue this…
Read MoreEliminating Target Anopheles Proteins to Non-Target Organisms based on Posterior Probability Algorithm
Capturing similarity in gene sequences of a target organism to detect significant regions of comparison will most likely occur because genes share a related descendant. Local sequence alignment for the targeted organisms can help preserve associations among sequences of related organisms. Such homologous genes possess identical sequences with common ancestral genes. The genes may be…
Read MoreMultiple Machine Learning Algorithms Comparison for Modulation Type Classification Based on Instantaneous Values of the Time Domain Signal and Time Series Statistics Derived from Wavelet Transform
Modulation type classification is a part of waveform estimation required to employ spectrum sharing scenarios like dynamic spectrum access that allow more efficient spectrum utilization. In this work multiple classification features, feature extraction, and classification algorithms for modulation type classification have been studied and compared in terms of classification speed and accuracy to suggest the…
Read MoreComparison of Machine Learning Parametric and Non-Parametric Techniques for Determining Soil Moisture: Case Study at Las Palmas Andean Basin
Soil moisture is one of the most important variables to monitor in agriculture. Its analysis gives insights about strategies to utilize better a particular area regarding its use, i.e., pasture for cows (or similar), production forests, or even to answer what crops should be planted. The vertical structure of the soil moisture plays an important…
Read MoreParticle Swarm Optimization, Genetic Algorithm and Grey Wolf Optimizer Algorithms Performance Comparative for a DC-DC Boost Converter PID Controller
Power converters are electronic devices widely applied in industry, and in recent years, for renewable energy electronic systems, they can regulate voltage levels and actuate as interfaces, however, to do so, is needed a controller. Proportional-Integral-Derivative (PID) are applied to power converters comparing output voltage versus a reference voltage to reduce and anticipate error. Using…
Read MoreTypes and Concentrations of Catalysts in Chemical Glycerolysis for the Production of Monoacylglycerols and Diacylglycerols
Monoacylglycerol (MAG) and diacylglycerol (DAG) are structured lipids that have been widely used in various pharmaceutical, cosmetic, and food industries. MAG and DAG are generally produced by chemical glycerolysis. Chemical catalysts have been shown to be more efficient, economical, and effective. This study summarizes and discusses the factors that affect the synthesis of MAG and…
Read MoreOptimal PMU Placement Using Genetic Algorithm for 330kV 52-Bus Nigerian Network
The phasor Measurement Unit is a modern tracking tool mounted on a network to track and manage power systems. PMU is accurate and time-synchronized device that gives voltage phasor measurements in nodes and current phasor measurements connected to those nodes where the PMU is installed. This study introduces the Genetic Algorithm for optimization of allocation…
Read MoreEnterprise Resource Planning Readiness Assessment for Determining the Maturity Level of ERP Implementation in the Industry in Indonesia
The textile industry is one of the prioritized industries, because it contributes to the country’s foreign exchange, absorbs a large number of workers, and fulfills the need for national clothing. To increase work efficiency and productivity, the textile industry must use ERP. However, ERP implementation still has a relatively high failure rate. ERP readiness assessment…
Read MoreTraffic Aggregation Techniques for Optimizing IoT Networks
Internet of Things (IoT) is changing the world through a new wave of revolution for communications technologies that are no more limited to the human being. One of the main challenges that result from the exponential spread of IoT technology is the difference in the traffic characteristics between classical human communications and advanced things communications.…
Read MoreAuditing the Siting of Petrol Stations in the City of Douala, Cameroon: Do they Fulfil the Necessary Regulatory Requirements?
No other form of technological development had negatively skewed from existing regulations as the siting of petrol filing stations. An audit of the degree to which their operators repeatedly violate the rules regulating their location and operations may encourage the legislature to pass laws that can ensure a balance between the economy and the environment.…
Read MoreDevelopment of Hexa Spacer Damper for 765 kV Transmission Lines’ Vibration Damping
In this paper, hexa spacer damper is proposed and its vibration damping effect on the 765 kV power transmission network under the influence of fluctuating wind (10-60 Hz) loading is validated. This asymmetrical loadings led the bundle of Zebra ACSR conductor to be twisted and hence, cause mechanical and electrical instabilities across the span length.…
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