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International Journal of Engineering Continuity
Published by Sultan Publisher
ISSN : -     EISSN : 29632390     DOI : https://doi.org/10.58291/ijec
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mechanical Engineering
The International Journal of Engineering Continuity is peer-reviewed, open access, and published twice a year online with coverage covering engineering and technology. It aims to promote novelty and contribution followed by the theory and practice of technology and engineering. The expansion of these concerns includes solutions to specific challenges of developing countries and addresses science and technology problems from a multidisciplinary perspective. Published papers will continue to have a high standard of excellence. This is ensured by having every papers examined through strict procedures by members of the international editorial board. The aim is to establish that the submitted paper meets the requirements, especially in the context of proven application-based research work.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 64 Documents
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Thermo Valve Air Compressor Maintenance and Repair Using the Overall Equipment Effectiveness (OEE) Method in Maintenance Amalia Ma'rifatul Maghfiroh; Alfian Bima Chandra
International Journal of Engineering Continuity Vol. 2 No. 1 (2023): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v2i1.59

Abstract

Production activities carried out every day can interfere with the effectiveness of the machine, one of which is the compressor, so that sometimes problems in the field are still often encountered, such as the piston drive motor not rotating, the compressor does not turn on and off automatically, corrosion (rust), melted capacitors, and many more. things that can happen beyond the operator's control. Due to these constraints, the authors decided to find out more and made direct observations at PT. INKA Multi Solusi Service, as well as studying good and proper machine maintenance so that the company's productivity does not experience a significant decrease. The research was conducted by direct observation and direct interviews with the maintenance department to find out the steps that are usually taken in solving problems. To determine the value of machine effectiveness based on the measurement of three main ratios, namely: availability, performance efficiency, and rate of quality, is carried out using the Overall Equipment Effectiveness (OEE) method. The conclusion that can be drawn from this study is that maintenance on the Ingersoll Rand MM160 type screw air compressor is carried out to maintain the condition of the compressor in a ready state for use in measuring the level of machine effectiveness using the Overall Equipment Effectiveness (OEE) method at PT. IMSS, starting from May – July 2022, where the highest percentage in May 2022 is 94% and the lowest in June 2022 with a percentage is 90%.
Mobile Robot Object Detection Method Based on Deep Learning Yuhan, Guo
International Journal of Engineering Continuity Vol. 2 No. 1 (2023): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v2i1.80

Abstract

The task of object detection is to accurately and efficiently identify and locate a large number of predefined categories of object instances from images. With the wide application of deep learning, the accuracy and efficiency of target detection have been greatly improved. However, deep learning-based target detection still faces challenges from key technologies such as improving and optimizing the performance of mainstream target detection algorithms, improving the detection accuracy of small target objects, realizing multi-class object detection and lightweight detection model. In response to the above challenges, based on extensive literature research, this paper analyses methods for lightweight detection models and improved detection accuracy from the perspective of YOLOv5s network structure. The problems to be solved in target detection and the future research direction are predicted and prospected.
Improved Ant Colony Algorithm for AGV Path Planning Jia-ning, LI
International Journal of Engineering Continuity Vol. 2 No. 1 (2023): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v2i1.82

Abstract

Given the shortcomings of the ant colony algorithm in the path planning process, such as low convergence speed and easiness of falling into local optimization, an improved ant colony algorithm (ACO) suitable for AGV path planning was proposed. The initial pheromone concentration was differentiated on the grid map according to the distance, which avoided the blind search in the early stage of the ant colony and sped up the convergence speed of the algorithm. The distance between the current grid and the grid to be selected and the distance between the grid to be selected, and the target grid were synthesized to improve the heuristic function to increase the direction of ant colony pathfinding. The dynamic heuristic factor was introduced to avoid the phenomenon of prematurity and falling into local optimization. It was proposed to label the direction of the adjacent grid of each grid, which increased the distance between the optimal path and obstacles, enhanced the security of the optimal path, avoided the occurrence of the dead corner phenomenon, and improved the robustness of the algorithm. The simulation results show that in the same environment, the improved algorithm's search efficiency and iterative stability are better than that of basic ACO algorithms in AGV path planning.
Path Planning of Mobile Robots Based on Improved Genetic Algoritm Zhang Ke-qi
International Journal of Engineering Continuity Vol. 2 No. 1 (2023): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v2i1.84

Abstract

With the development of intelligent manufacturing, whether from the consideration of capacity, efficiency, or convenience, the requirements for mobile robots are increasing, reasonable regional path planning is one of the most critical needs, and a genetic algorithm is the best way to solve this problem, but in some complex working environments, traditional genetic algorithms will cause some problems, such as the path is not smooth, the steering angle is too large, the number of turns is large, etc. In this paper, an improved genetic algorithm is utilized to optimize the path-planning problem of mobile robots to circumvent the common issues arising from other approaches. The Improved Genetic Algorithm (IGA) has emerged as a significant advancement in the field of optimization techniques. By incorporating adaptive features, this refined approach yields enhanced performance and accuracy when compared to traditional genetic algorithms. Building on the foundational principles of evolutionary computation, the IGA employs innovative strategies, such as adaptive crossover and mutation operators, to navigate complex solution spaces effectively. It can also reduce computation time and increase efficiency by considering various considerations, such as environmental constraints and avoiding obstacle.
The Development of a Matlab-Based Fuzzy PID Controller and The Simulation Yunus Bakhtiar Arafat; HU Weiwei
International Journal of Engineering Continuity Vol. 2 No. 1 (2023): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v2i1.85

Abstract

Fuzzy PID control is a process control technique combining the advantages of fuzzy logic and PID control. It maintains precise control over processes by combining fuzzy logic and proportional-integral-derivative (PID) controllers. With this method, it is possible to achieve higher levels of accuracy and stability in controlling process variables such as temperature, pressure, flow rate, and position. This makes Fuzzy PID control an ideal cordial application requiring precise process control. Fuzzy PID control uses the PID parameter tuning experience to make the fuzzy controller automatically tune its parameters, giving PID control a better control effect. In this paper, a fuzzy PID controller is designed to control the temperature of an electric boiler. The control effects of PID control, fuzzy control, and fuzzy PID control are compared by simulation analysis. The simulation results show that the unclear PID control effect is ideal and has a good application prospect.
The Design of a Detection Robot with OLED Display Rachmat Anggi Marvianto; Rizky Gauraf; Yunus Bakhtiar Arafat; Zang Panpan
International Journal of Engineering Continuity Vol. 2 No. 2 (2023): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v2i2.108

Abstract

OLED display has the advantages of self-illumination, wide viewing angle, fast response, small size, small weight, flexibility. It is a huge breakthrough in the field of display technology, and enhances the visual enjoyment and on-the-spot experience of people. With the rapid development of science and technology, the combination of OLED and robot has attracted attention from most of the fields. In this paper, the working principle, advantages and main application fields of OLED devices are introduced, and a detection robot with OLED is designed. The detection robot can accurately control the speed of the motor and the angle of the steering gear within a distance of 1,000 meters, and receive the images from airborne cameras in real time.
Markerless Point Cloud Matching Algorithm Based on 3D Feature Extraction Zhang Li Jun
International Journal of Engineering Continuity Vol. 2 No. 2 (2023): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v2i2.114

Abstract

Since 3D scanners can only scan in a limited range and the scanning process is prone to occlusion and other problems, a complete 3D model cannot be obtained from a point cloud scanning result. Therefore, point cloud matching is necessary for most 3D scanning projects. We propose a point cloud registration algorithm based on a comprehensive approach, and the research contents include a new curvature-based point cloud feature extraction method, a three-dimensional spatial structure classifier of feature points, and an unmarked point cloud-matching algorithm based on three-dimensional feature extraction. The experiments are based on the simulation data and real data to verify the algorithm and evaluate the accuracy. The experimental results show that the matching accuracy reaches the millimetre level, and the fully automated and high-precision label-free point cloud matching based on 3D features is realized, which can provide innovative and breakthrough help for 3D reconstruction.
A method of tracking and positioning of industrial robots AI Tengfeng
International Journal of Engineering Continuity Vol. 2 No. 2 (2023): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v2i2.115

Abstract

In this paper, an improved tracking and localization algorithm of an omni-directional mobile industrial robot is proposed to meet the high positional accuracy requirement, improve the robot’s repeatability positioning precision in the traditional trilateral algorithm, and solve the problem of pose lost in the moving process. Laser sensors are used to identify the reflectors, and by associating the reflectors identified at a particular time with the reflectors at a previous time, an optimal triangular positioning method is applied to realize the positioning and tracking of the robot. The experimental results show that positioning accuracy can be satisfied, and the repeatability and anti-jamming ability of the omni-directional mobile industrial robot will be greatly improved via this algorithm.
Path planning of mobile robot based on improved artificial potential field method LI Bing
International Journal of Engineering Continuity Vol. 2 No. 2 (2023): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v2i2.117

Abstract

Artificial potential field method is widely used in robot path planning because of its simplicity, efficiency and smooth path generation. In this paper, based on the introduction of the basic principle of the artificial potential field method, the limitations of the algorithm are analysed in depth, and improvement methods are summarized for these problems. Aiming at the problem that the target near the obstacle is unreachable in the traditional artificial potential field method, an improved repulsive force potential field function is used to introduce the distance between the robot and the target point into the potential field function, so that the potential field of the target position is minimized in the global potential field, so that the robot can successfully reach the target. Using the obstacle connection method, the robot can quickly get rid of the local minimum point, go out of the local minimum area, and complete the path planning. The simulation results show that the method is effective.
Analysis of Adversarial Attacks on AI-based With Fast Gradient Sign Method Sigit Wibawa
International Journal of Engineering Continuity Vol. 2 No. 2 (2023): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v2i2.120

Abstract

Artificial intelligence (AI) has become a key driving force in sectors from transportation to healthcare, and is opening up tremendous opportunities for technological advancement. However, behind this promising potential, AI also presents serious security challenges. This article aims to investigate attacks on AI and security challenges that must be faced in the era of artificial intelligence, this research aims to simulate and test the security of AI systems due to adversarial attacks. We can use the Python programming language for this, using several libraries and tools. One that is very popular for testing the security of AI models is CleverHans, and by understanding those threats we can protect the positive developments of AI in the future. this research provides a thorough understanding of attacks in AI technology especially in neural networks and machine learning, and the security challenge we face is that adding a little interference to the input data causes the AI ​​model to produce wrong predictions in adversarial attacks there is the FGSM model which with an epsilon value of 0.1 causes the model suffered a drastic reduction in accuracy of around 66%, which means that the attack managed to mislead the model and lead to incorrect predictions. in the future understanding this threat is the key to protecting the positive development of AI. With a thorough understanding of AI attacks and the security challenges we address, we can build a solid foundation to effectively address these threats.

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