International Journal of Engineering Research and Advanced Technology
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A Smart, Efficient and Novel Distributed Ledger Technology for Information System
No full textAlthough distributed ledger technology (DLT) provides new and distinct benefits for information systems, some of its features, such as slower data processing, are incompatible with many applications. A new DLT architecture based on the main-sub-ledger is presented in this paper. It achieves physical data isolation, ensuring the privacy and security of business data. Simultaneously, the main-sub-ledger creates tiered data storage, effectively relieving node data storage pressure and improving data processing capacity
Vehicle Detection and Classification System Based on Magnetic Sensors: A Review
No full textIn an Intelligent Transportation System, vehicle identification and categorization (VIC) from a moving platform is critical (ITS). VIC is input into traffic control and management systems. Due to a variety of circumstances such as different types of cars, vehicles with nearly identical qualities having unique classes, and so on, in congested traffic, vehicle identification and classification is still a challenge. When compared to different sensors, the magnetic sensor has great implementation potential in the vehicle detection sector Because of its high sensitivities and lightweight. This paper aims to discuss how the magnetic characteristics of Vehicles can be used to detect and classify vehicles. First, a brief operating principle and properties of the most commonly used magnetic sensors are reviewed. This paper also reviewed the most recent applications, implementations, and research in using the magnetic sensor to detect and identify vehicles, as well as classify and determine Vehicle speeds
SURVEY: CHEATING DETECTION IN ONLINE EXAMS
No full textThe COVID-19 pandemic has compelled students and faculty at schools and institutions worldwide to switch to remote coaching. One of the most challenging aspects of online education is maintaining the academic integrity of student tests. Exams are now being administered. Without the presence of students and teachers in the exact location, students and teachers can learn online using e-learning platforms, which creates various difficulties such as exam integrity and safety. The COVID-19 pandemic has stretched university test processes to their limits. The deployment of e-assessments was hastened. Cheating attempts had been identified, and college students believe that most cheating attempts went undetected. Despite the recent increase in distance education, there has been little research on whether online exams make it easier for students to cheat. This study explores the topic of cheating in online education, focusing on cheating and plagiarism. Detection Methodologies It includes cheating strategies, cheating methods, Detecting methods, such as (Biometric techniques, Online Proctoring, lockdown browsers, challenges questions, and text originality checks). The impact of this paper is that it provides a concept for beginners to expertise and a foundation for reducing assessment dishonesty
Effect of Process parameters on Linear Friction welding of Commercial Grade Pure Aluminum
No full textThis paper investigated the effects of process parameters such as burn off distance, oscillating frequency, and forging pressure on linear friction welding of commercially pure aluminium. Friction welding (FW) techniques are a group of techniques that are based on frictional heat between components that occurs during movement while under pressure. Linear Friction welding is a solid-state process in which one part moves in a linear fashion at high speed and presses against another part that is held stationary. Linear friction welding (LFW) is a very well specialized technology used by global gas turbine engine manufacturers to create bladed disc assemblies. The sample bar with a cross section of 25mmx25mmx140mm was used for the experimental testing. The results were obtained by maintaining amplitude and frequency at 1.5mm and 40Hz, respectively, and forging pressure at 10MPa, 15MPa, and 20MPa. It is observed that, Lower HAZ. Burn-off distance grew as forging pressure increases with time
Subject Review: Image Processing Techniques for Object Tracking in Video Surveillance
No full textThe article is devoted to real-time algorithms for detecting events described by four scenarios: movement in a forbidden direction, being in a sterile zone, leaving (stealing) an object, throwing an object. The main idea of the algorithms is the analysis of the trajectories of moving objects, for which two different approaches are proposed in the article
Implementation and analysis of Overall Equipment Effectiveness (OEE) methodology in Tube Welding Machine Productivity at PT Denso Indonesia
No full textAn automotive manufacturer is known PT Denso Indonesia. Due to the various losses that occurred in the Tube Welding Radiator Machine, PT Denso Indonesia saw a decline in the volume of production while creating its products. Evaluating the efficiency of the Tube Welding Radiator Machine production process is vital in order to identify and reduce any losses that may arise. This study's objectives are to assess the Tube Welding Machine's efficiency using the Overall Equipment Efficientness (OEE) method, compute the cost of six major losses, pinpoint their causes using Fishbone Analysis, offer suggestions for improvement, and then put those suggestions into practice to raise the Tube Welding Machine's efficiency. The average value of the measurement findings for the Tube Welding Radiator machine's Overall Equipment Effectiveness (OEE) value is 83.16 percent. Reduced speed losses resulting from the time lost during the production process account for the largest loss time when the six major losses are measured. Making jig-centering material and converting regular water to RO water allowed for advancements. Additionally, businesses must quickly replace any parts on the tube welding radiator machine that are already irregular.
A Modelling of Multi-Objective Sustainability Palm Kernel Supply Chain Based on Hybrid NSGA-II and Reinforcement Learning
No full textPalm kernel shell supply chain is a partial network of integrated palm oil supply chain network having potential business to be developed in order to reduce waste in the network. Sustainability and uncertainty are important challenges in the supply chain network design to make the business network sustain. This research work aims to design a Strategy of Sustainable Multi-Echelon Supply Chain based on Hybrid NSGA-II and Reinforcement Learning Under Uncertainty in Palm Kernel Shell Material Flow. We design a mathematical model with triple objectives in palm kernel shell supply chain network to meet sustainability criteria with economy, social, and environmental impact from the supply chain. To solve tripe objective function Hybrid NSGA II is designed to reach Pareto optimal solution combined with Reinforcement Learning to reach beneficial solution during optimization processes. The hybrid methodology found 28 alternatives strategy and outperform other method in multi-objective model solution processes. The calculation shows environmental reduction (in kg carbon reduction) to 252 kg and economic impact in complex palm kernel shell supply chain network rather than previous research. The solution also suggests the network configuration fo palm kernel shells material flow
Challenges and Opportunities Created in Business Due to Pandemic Coronavirus and Strategic & Tactics to Manage Critical Conditions
No full textNowadays, the rapid spread of Severe Acute Respiratory Syndrome (DCS) has led to a worldwide outbreak that has created many challenges for businesses: small and medium-sized businesses. However, small and medium-sized businesses face large industries and have many advantages over them; including added value, innovation, job creation, and more flexibility. The borderless coronavirus has also affected the economic situation, higher and lower prices of commercial goods, the relationships between countries and their governments, the opinions and projects of experts and economists throughout the world, and those countries' exports and imports in different areas. The closure and reduction of the level of economic activity have resulted in a reduction in labor and a reduction in labor demand and supply. As a result, as a result of the reduced capacity to collect taxes on economic activities and the measures needed to support businesses and those affected and increase government health care spending, the government's budgetary deficit will increase. In this paper, we attempted to examine the economic effects of the virus epidemic on businesses and economic activities at various levels. There should also be an examination of its positive and negative consequences for the organization. Finally, possible economic recovery scenarios of countries and crisis management solutions and immediate actions for businesses in times of coronavirus pandemic crisis are presented. Generally, this article attempts to provide solutions and experiences to be effective for businesses and help them safely overcome the barrier of critical conditions. Though, this can be accomplished by developing knowledge, raising awareness, and gathering information and experiences from others
Analysis of Productivity Improvement in Production Process Using the Single Minutes Exchange of Dies (SMED) Method
No full textPT. X is a manufacturing company engaged in the manufacture of automotive components. This company is a joint venture between an Indonesian company and a Japanese company. The company's main products are grouped into Drive Train, Engine Related Part, and Body Related Part. As a multi-national company, the company's ability to maintain efficiency is very important. Of course, to keep the market competitive and to win the competition. One of the efficiencies that must be done is to reduce unproductive time, namely time that does not produce products. This research will focus more on the timing of the model changeover. Product XZ is one of the superior products of PT. X, but from the data obtained, this production line only has an effective time of 73% of the total working hours. This is due to the high time to change the model on the work track. The time to change the model reaches 25.75 minutes. So that the maximum production capacity is 5,968 pcs / day. To solve this problem, the Single Minutes Exchange of Dies (SMED) method is used. By implementing the 7 steps of SMED and supported by problem analysis using Pareto diagrams and why-why analysis, improvement in Production time productivity is increased by 25.3%, whereas, the productivity of the production line shows improvement from 6.94 parts/minute to 8.70 parts/minute
Hybrid Based Selective Genetic Algorithm
No full textWireless Sensor Network WSN deployment is an active research area. Its goal is to deploy sensors in certain environments efficiently to optimize some evaluation measures. Meta heuristic searching optimization approaches have been proven to be effective in solving WSN deployment problem. They have strong power in exploring the solution space and converging toward the optimal region. One key factor in achieving more exploring power in the meta-heuristic searching is the selection criteria of the elite solutions from one iteration to another. Two common selection criteria are roulette wheel and pairwise tournament. In this article, a hybrid based selection is applied under genetic algorithm for solving the problem of WSND. The hybrid based selection selects between roulette wheel and pairwise tournament in order to maintain good exploration and fast convergence toward the best solutions