Journal of Advances in Artificial Life Robotics Volume 4 Issue4

Volume 4, Issue 4 March 2024

Research Article
1.An Animation System on the Basis of the Multiplicity of a Kabuki Work and its Background Story: Kyōganoko Musume Dōjōji and the Legend of Dōjōji
Jumpei Ono¹, Shunta Kudo², Takashi Ogata^3
1Faculty of Software and Information Technology, Aomori University, 2-3-1 Kohbata, Aomori, Aomori, 030-0943, Japan
²Faculty of Software and Information Science, Iwate Prefectural University, 152-52 Sugo, Takizawa, Iwate, 020-0693, Japan
³Faculty of informatics, Yamato University,2-5-1, Katayama-cho, Suita, Osaka, 564-0082, Japan
pp. 177–188
ABSTRACT
We have continued a series of study on Kyōganoko Musume Dōjōji. The study has various topics, including the development of an animation mechanism according to the stage performance structure of Kyōganoko Musume Dōjōji. Kyōganoko Musume Dōjōji as a kabuki dance partially uses the story of the legend of Dōjōji. Kyōganoko Musume Dōjōji partially uses the story of the legend of Dōjōji. We have also investigated the mutual relationships between these narrative works and attempted the design and development of a system reflecting the above relationships. This paper presents an animation mechanism using these previous researches. In particular, this system flexibly relates the structural flow of the stage performance of Kyōganoko Musume Dōjōji to scenes in the legend of Dōjōji.

ARTICLE INFO
Article History
Received 02 December 2021
Accepted 22 July 2024

Keywords
2D animation
3D animations
Kabuki
Kyōganoko Musume Dōjōji
The legend of Dōjōji

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Research Article
2.Usage and Distinctions of Robotic Arms, Conventional Machinery, and Hands-on Labor in Manufacture Processes
Xue Yang, Yuping Mei, Ying Su
College of Electronic Information and Automation, Tianjin University of Science and Technology, 300222, China
pp. 189–192
ABSTRACT
The purpose of this article is to delve into the contrasting characteristics of robotic arms as opposed to conventional machinery and human capabilities.First of all, robotic arms represent a type of automated tool that exhibits high accuracy and flexibility, enabling them to execute a wide range of complicated tasks. Conversely, conventional machines are often short of such high accuracy and flexibility, while human-beings tend to suffer from issues like high error rates and low work efficiency. Second, the advent of robotic arms offers a solution to numerous challenges posed by conventional machines and human-beings, ultimately enhancing manufacture quality and efficiency. Lastly, what there is not have inherent conflicts between robotic arms, conventional machines, and human-beings; instead, one can effectively complement to another one. Throug strategically integrating robotic arms and human labor, we human can harness their respective strengths to optimize economic gains and overall manufacture efficiency.

ARTICLE INFO
Article History
Received 02 December 2021
Accepted 22 July 2024

Keywords
Robotic arms
Conventional machine
Conventional machine
Production efficiency
Economic gain

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Research Article
3.Research on the Simulation of Chemical Reactors Utilizing the PCS7 Platform
Hongshuo Zhai
Tianjin University of Science and Technology, Tianjin, China
pp. 193–199
ABSTRACT
The rapid development of industrial control and its systems since the 1960s has been mainly due to the remarkable progress of key process control theories, which are increasingly used in the field of science and technology. Often, there are multiple potential risks in a factory environment, so people tend to use remote and precise control methods. This study using PCS7 remote control software to simulate the chemical reactor process, and through the PID adjustment to ensure the rationality of the results of simulation and accuracy.

ARTICLE INFO
Article History
Received 11 November 2023
Accepted 11 July 2024

Keywords
PCS7
PID adjustment
Industrial control
Chemical reactor

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Research Article
4.Analysis of Educational Quality in University Courses Utilizing Process Assessment
Yuhao Zhang¹, Jiashuang Sun², Xiaoran Ma^3
1College of Artificial Intelligence, Tianjin University of Science and Technology, 300222，China
²College of Art and Design, Tianjin University of Science and Technology, 300222，China
³College of Economics and Management, Tianjin University of Science and Technology, 300222，China
pp. 200–203
ABSTRACT
The progressive integration of formative assessment into university education has led to its widespread adoption for evaluating students' daily learning behaviors and conditions. This paper leverages data on classroom learning experiences from a specific university, utilizing machine learning, K-means clustering, the TOPSIS evaluation model, and the entropy weighting method. The study aims to explore the correlation between formative assessment and the quality of university student learning, ultimately developing an evaluation model. This model identifies key factors influencing student learning attitudes, supporting the use of formative assessment in higher education.

ARTICLE INFO
Article History
Received 11 November 2023
Accepted 11 July 2024

Keywords
University process assessment
Learning attitude
Machine learning
TOPSIS
Evaluation model

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Research Article
5.Parking Space Recognition Method Based on Digital Image Technology
Hao He, Fangyv Liu, Jiaxin Wang
Tianjin University of Science and Technology, Tianjin,300222, China
pp. 204–208
ABSTRACT
In recent years, the urban landscape has witnessed a surge in vehicular population, exacerbating the challenge of finding adequate parking spaces. Consequently, the development of automatic methods to identify parking availability has gained significant attention. This study introduces a design and implementation framework aimed at discerning the status of urban parking spots utilizing digital image processing and allied technologies. Real-time images of multiple parking spaces are gathered to assess their occupancy, thereby facilitating efficient space utilization. Experimental findings affirm the practical viability and efficacy of the proposed approach, underscoring its relevance in tackling parking detection challenges through advanced digital image processing techniques.

ARTICLE INFO
Article History
Received 11 November 2023
Accepted 17 July 2024

Keywords
Open CV
Parking spot detection
Convolutional neural network
Intelligent transportation

4405

Research Article
6.Optimizing Antenna Configurations for Improved Drone Communication in Challenging Environments
Mastaneh Mokayef¹, MHD Amen Summakieh¹, M.K.A Ahamed Khan¹, Sew Sun Tiang¹, Wei Hong Lim¹, Abdul Qayyum^2
1Department of Electrical and Electronic Engineering, FETBE, UCSI University, KL, Malaysia
²National Heart and Lung Institute, Imperial College London, UK
pp. 209–216
ABSTRACT
In recent years, the use of drones, also known as Unmanned Aerial Vehicles (UAVs), has experienced rapid growth across multiple industries, including agriculture, logistics, disaster management, and surveillance. The effectiveness of these UAVs is heavily dependent on reliable communication systems, particularly in challenging environments where signal strength and reliability are critical. This article explores the optimization of antenna configurations using MATLAB simulation tools to enhance the Signal-to-Noise Ratio (SNR), with a focus on the broader context of Internet of Things (IoT) integration. Considering the use of Energy per Bit to Noise Power Spectral Density Ratio (E/N) as a measurement technique commonly used in wireless communication systems to assess the quality of the received signal relative to the background noise, this paper evaluates and compares the quality of the received signals in SISO and SIMO systems.

ARTICLE INFO
Article History
Received 23 November 2023
Accepted 29 August 2024

Keywords
SNR
UAV
E/N
MATLAB
IoT
SISO
SIMO
Disaster

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Research Article
7.Efficient Movement of Formation Transformation of Multiple Mobile Robots on a Grid Plane
Kuo-Hsien Hsia, Chun-Chi Lai, Yu-Le Chen
National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin 64002, Taiwan
pp. 217–221
ABSTRACT
Multi-robot motion management is an important issue in the research of mobile robotics. Formation transformation of multi-robots is one of the problems of multiple mobile-robots locomotion. The algorithms proposed in the past for this problem cannot guarantee the best solution. From a mathematical perspective, this paper uses singularity check for a matrix and Munkres assignment algorithm to develop a new algorithm for solving this problem. Comparing to the Monte Carlo method, the new algorithm can have better, at least the same, results in a very short time.

ARTICLE INFO
Article History
Received 15 November 2023
Accepted 30 July 2024

Keywords
Multi-robot motion planning
Formation transformation
Grid plane
Munkres assignment algorithm

4407

Research Article
8.Bridging the Gap Between Industry 4.0 (IR 4.0) and an Undergraduate Industrial Automation and Robotics Degree Program to meet the Robotic Road Map of a Developing Nation
M.K. A. Ahamed Khan¹, Mastaneh Mokayef¹, Ridzuan, A¹, MHD Amen Summakieh¹, Sew Sun Tiang¹, Wei Hong Lim¹,
M.Suresh^2
1UCSI University, Faculty of Engineering, Taman Connaught, 56000 Malaysia
²Department of Electrical and Electronics Engineering, Murugappa Polytechnic College, Chennai, Tamil Nadu, India
pp. 222–229
ABSTRACT
The advent of Industry 4.0 (IR 4.0) has completely changed the landscape of many manufacturing and industrial sectors through the proper integration of modern digital technologies such as the computer science, Internet of Things (IoT), artificial intelligence (AI), robotics, automation, cyber physical systems, cybersecurity, data mining and data analytics. This tremendous change necessitates a paradigm shift in many of the educational programs, especially in one of the core pillars of IR 4.0 which is called Robotics and Automation program to equip the future workforce with relevant skills and advanced knowledge. This paper explores how to bridge the gap between an undergraduate Industrial Automation and Robotics degree program with the current educational curricula and the demands of IR 4.0 to meet the Robotic Road Map of a developing nation.

ARTICLE INFO
Article History
Received 23 November 2023
Accepted 16 August 2024

Keywords
Industrial automation
Robotics
Curriculum development
Undergraduate
Control
Drone
Roadmap
Economy

4408

Research Article
9.Study and circuit design of heterostructured chaotic synchronous control of Chen and Lü systems
Haozhe Sun
College of Electronic Information and Automation, Tianjin University of Science and Technology, 300222, China
pp. 230–235
ABSTRACT
In this paper, the Chen system and Lü system are taken as research objects, and the nonlinear feedback synchronization control method is used to synchronize the Chen system with different initial values and the Lü system with different initial values by adding synchronization controllers to achieve heterostructure chaotic synchronization, and the error curves and through the simulation in Simulink, state synchronization curves of the corresponding states in the responding Lü system and the driving Chen system are plotted, which proves that the responding Lü system and the driving Chen system can achieve stable heterostructure chaotic synchronization.. Finally, an analog synchronization control circuit is built in Multisim. By comparing the synchronization curves obtained by simulation and numerical simulation, it is found that the two curves tend to be consistent, so it proves that the synchronization circuit built is correct.

ARTICLE INFO
Article History
Received 11 November 2023
Accepted 18 August 2024

Keywords
Chaos
Chaos synchronization of different systems
Nonlinear feedback control
Chaotic circuit

4409

Research Article
10.RFID-Integrated Prototype for Enhanced Shopping Experience for the Elderly
Mastaneh Mokayef¹, Muzaiyanah Binti Hidayab¹, MHD Amen Summakieh¹, M.K.A Ahamed Khan¹, Kim Soon Chong¹,
Chin Hong Wong², Chua Huang Shen³, Abdul Qayyum^4
1Department of Electrical and Electronic Engineering, Faculty of Engineering Technology and Built Environment, UCSI University, Kuala Lumpur, 56000, Malaysia
²Maynooth International Engineering College, Fuzhou University, Fujian, China
³Department of Electrical & Electronics Engineering, UOW Malaysia University, Utropolis Glenmarie, Shah Alam, Malaysia
⁴National Heart and Lung Institute, Imperial College London, UK
pp. 236–243
ABSTRACT
A prototype that attempts to enhance senior citizens' weekly shopping experiences has been created as a result of this research. Seniors no longer have to use their physical strength to push or pull the shopping cart because the system monitors their every move. This is accomplished by estimating the user's walking direction and distance using a variety of sensors, such as a magnetometer and gyroscope. Furthermore, WiFi fingerprinting is used to pinpoint the user's location. Experiments have been carried out, and the system's overall functionality and tracking accuracy have produced satisfactory results. The smart shopping trolley concept has been designed to improve senior citizens' experience by addressing the unique challenges they face during the regular and necessary process of grocery shopping. The goal has been to increase senior citizens' comfort and convenience when shopping by integrating sensor-based solutions and tracking technologies. The successful results of the trials have confirmed the viability and efficacy of this strategy for sustainable practices in public health.

ARTICLE INFO
Article History
Received 23 November 2023
Accepted 27 August 2024

Keywords
Smart shopping trolley
Elderly citizen
Smartphone
UM
Public health

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