Article
Computer Science, Artificial Intelligence
K. Chithra, V. K. Shunmughanaathan, S. Karthik, K. Srihari
Summary: This article proposes the Ant Colony Optimization for Enhanced Energy Efficient Routing (EEER-ACO) algorithm to improve the performance and durability of Mobile Ad hoc Networks (MANETs). The algorithm reduces energy consumption and data packet delay by selecting optimal quality routes and optimizing path selection through incorporating pheromones.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Ya-Hui Jia, Yi Mei, Mengjie Zhang
Summary: This article focuses on the capacitated electric vehicle routing problem and proposes a confidence-based bilevel ant colony optimization algorithm to solve it. The algorithm divides the problem into two subproblems: capacitated VRP and fixed routing vehicle charging problem. Experimental results show that the proposed algorithm has reached the state-of-the-art level and achieved new best-known solutions.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
(2022)
Article
Computer Science, Information Systems
Jun Shao, Jin Cheng, Boyuan Xia, Kewei Yang, Hechuan Wei
Summary: The article proposes a novel service system and a drone path programming model with a special penalty value objective function to minimize path length and number of landing depots. Improvements to ant colony optimization with the A* algorithm embedded were made to efficiently find the optimal flight path. The study showed the feasibility and effectiveness of this approach in long-distance drone delivery services.
IEEE SYSTEMS JOURNAL
(2021)
Article
Computer Science, Hardware & Architecture
Priyanka Kumari, Sudip Kumar Sahana
Summary: This study employs Swarm Intelligence (SI) techniques, such as ACO, PSO, and GA, to address the multicast routing problem, with ACO showing superior performance. The proposed HIMACO algorithm introduces safety features mimicking the behavior of real ants and a heuristics-based initialization strategy, resulting in improved efficiency and packet loss reduction.
MICROPROCESSORS AND MICROSYSTEMS
(2022)
Article
Computer Science, Hardware & Architecture
Priyanka Kumari, Sudip Kumar Sahana
Summary: This research utilizes Swarm Intelligence (SI) based techniques to tackle the multicast routing problem, proposing the Heuristic Initialization Based Modified ACO (HIMACO) algorithm that outperforms in terms of runtime and packet loss.
MICROPROCESSORS AND MICROSYSTEMS
(2022)
Article
Automation & Control Systems
Ya-Hui Jia, Wei-Neng Chen, Huaqiang Yuan, Tianlong Gu, Huaxiang Zhang, Ying Gao, Jun Zhang
Summary: The paper aims to develop an intelligent scheduling system to reduce workflow costs and meet deadline and other execution constraints. A new estimation model is designed for task execution time, leading to the proposal of an adaptive ant colony optimization algorithm. The algorithm's adaptiveness is demonstrated in adaptive solution construction method and heuristics with self-adaptive weight.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Jing Liu, Sreenatha Anavatti, Matthew Garratt, Hussein A. Abbass
Summary: This paper presents a continuous ant colony-based multi-UGV path planner, which optimizes the path for each UGV and resolves the collision avoidance problem for multi-agent coordination. Experimental results demonstrate the superiority of the proposed algorithm, especially in solving complex, high-dimensional problems.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Engineering, Civil
Aishwarya Manjunath, Vaskar Raychoudhury, Snehanshu Saha, Saibal Kar, Anusha Kamath
Summary: The article discusses the declining trend of private vehicle ownership due to the growth of on-demand transportation services and ride-sharing platforms. It introduces a distributed ride-sharing system with multiple conflicting objectives, solved using Ant Colony optimization technique, achieving a success rate of up to 79.65%.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Syed Fawad Hussain, Ifra Arif Butt, Muhammad Hanif, Sajid Anwar
Summary: Deterministic graphs have certain links between vertices, while probabilistic graphs only imply the possibility of links between vertices. Probabilistic data arises from uncertainties, leading to uncertain outcomes. Clustering probabilistic graphs poses challenges due to the probabilistic nature of computations.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Engineering, Biomedical
Dong Zhao, Ailiang Qi, Fanhua Yu, Ali Asghar Heidari, Huiling Chen, Yangyang Li
Summary: This study investigated a multi-level image segmentation method based on the swarm intelligence algorithm for melanoma pathological images to improve disease diagnosis.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Automation & Control Systems
Ya-Hui Jia, Yi Mei, Mengjie Zhang
Summary: The development of electric vehicle techniques has brought about a new vehicle routing problem, the capacitated EV routing problem (CEVRP). To address the challenges presented by the limited number of charging stations and cruising range of EVs, a novel bilevel ant colony optimization algorithm is proposed in this article. By dividing CEVRP into capacitated VRP and fixed route vehicle charging problem, the algorithm significantly outperforms state-of-the-art algorithms on various benchmark instances.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Multidisciplinary Sciences
Ronghua Meng, Aiwen Sun, Zhengjia Wu, Xuan Du, Yongdong Meng
Summary: A smooth and secure spatial path planning algorithm is proposed by integrating improved ant colony optimization with the corrective connected spatial search strategy. This algorithm aims to solve the heavy heading switching pressure problem faced by autonomous underwater vehicles in complex marine environments. Through the introduction of a spatial connectivity adjacency domain search strategy and heuristic functions and pheromone update criterion, the algorithm improves solution quality and ensures a shortest path with the lowest tortuous degree and fewest turning times in a grid environment.
SCIENTIFIC REPORTS
(2023)
Article
Geochemistry & Geophysics
Shichang Li, Yang Zhao, Chenggang Xian, Xing Liang, Jiehui Zhang, Qiya Qiao, Lanlan Yan, Yinhao Shen, Huan Cao
Summary: This study proposes an azimuthal anisotropy-driven ant-tracking scheme for small-scale fracture detection. By utilizing wide-azimuth prestack seismic data and a Bayesian framework, the proposed scheme can accurately identify fractures and optimize fracture detection.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Computer Science, Artificial Intelligence
Dimitra Trachanatzi, Manousos Rigakis, Magdalene Marinaki, Yannis Marinakis
Summary: This research addresses a challenging problem in emergency response, namely how to effectively protect crucial community assets under temporal and spatial constraints. By introducing the Modified Ant Colony System algorithm, superior solutions can be achieved within operational time limits.
SWARM AND EVOLUTIONARY COMPUTATION
(2022)
Review
Environmental Sciences
Ravinder Bhavya, Lakshmanan Elango
Summary: Ant colony optimization (ACO) algorithms, inspired by the behavior of ants, are effective in solving complex problems in various domains, including water resources management. This study critically reviews the applications of ACO in hydrology and hydrogeology, such as reservoir operations, water distribution systems, and urban drainage design. Hybrid and modified ACO techniques are found to be more efficient than traditional ACO algorithms in terms of solution quality and cost efficiency. However, challenges remain in incorporating uncertainty and addressing issues of dimensionality, convergence, and stability. Further research is needed to explore the potential of ACO in these areas.
Article
Engineering, Electrical & Electronic
Xingle Gao, Minfang Peng, Chi K. Tse
Summary: In this paper, a novel model is developed to study cascading failure in cyber-physical power systems. A discrete packet traffic model is used to describe dynamic data transmission in the information network, following a specific routing strategy. Furthermore, a dynamic load flow model that considers the power-frequency characteristics of loads and generators is applied to describe the dynamic flow process of the power network. The proposed model allows considering the impacts of data packet transmission failures and voltage-related failures in the cascading process. The effects of routing strategy and information network topology on the severity of cascading failure are analyzed, and simulation results confirm the model's applicability and reveal the influence of routing strategy on cascading failure in cyber-coupled systems. Moreover, it is shown that using the main hub in the information network as a dispatching center, along with a spread out degree distribution of the information network, reduces the severity of cascading failure in the cyber-coupled system.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2023)
Article
Engineering, Electrical & Electronic
Xiaoqiang Wang, Liangxi He, Jianping Xu, Chi-Kwan Lee, Chi K. Tse
Summary: This article proposes a power-split-based wireless charging system (WCS) with communication-free coordination control to handle wide load and coupling variations. The system uses a magnetic integrated inductor to create two power delivery channels, with a large portion of received energy directly delivered to the load, and a small amount converted by a low-voltage low-power dc-dc converter for constant voltage or constant current charging. The proposed WCS achieves higher power conversion efficiency and reduces design difficulty by processing only partial power through the dc-dc converter and applying communication-free coordination control.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Guidong Zhang, Yuanhang He, Samson Shenglong Yu, Yun Zhang, Chi K. Tse
Summary: Selection of the appropriate power switch driver resistance is crucial for power converter design, as an improper resistance value can negatively impact efficiency and cause undesired operational behavior. This letter proposes an accurate switching transition modeling method for switches in dc-dc converters to guide engineers in designing switch drivers. The proposed method simplifies the modeling process by treating nonlinear switches as linear systems and combining various operating modes into one mode. Experimental validation on a high-order dc-dc converter using enhanced gallium nitride high-electron-mobility transistor (eGaN HEMT) demonstrates the feasibility of the proposed modeling method.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Engineering, Industrial
Jessica Ulmer, Sebastian Braun, Chi-Tsun Cheng, Steve Dowey, Joerg Wollert
Summary: Assistance systems in the manufacturing sector are limited in their adaptability and user experience, but this study integrates human factors and gamification to address these issues and provide personalized instructions and feedback. The developed framework, with a modular system architecture, adjusts the hardware and instruction presented to workers' demands and allows for flexible component exchange. Validation of the framework is done through applying it to a manual workstation for industrial assembly routines.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Chemistry, Analytical
Konguvel Rajeswari Subramaniam, Chi-Tsun Cheng, Toh Yen Pang
Summary: Conventional HVAC controllers mainly focus on controlling the temperature of a confined space, ignoring other important parameters related to thermal comfort and indoor air quality. This project developed a fuzzy logic controller (FLC) using MATLAB and Simulink to regulate the in-cabin PMV and CO2 levels of a vehicle HVAC system. The FLC effectively controlled the opening and closing of the recirculation flap based on temperature and CO2 readings, maintaining desirable PMV and CO2 levels without significantly increasing energy consumption. The proposed FLC can be applied to various HVAC systems using low-cost sensors.
Article
Engineering, Electrical & Electronic
Jingxi Yang, Chi K. Tse, Meng Huang, Dong Liu
Summary: This paper investigates the interaction between grid-following rectifiers and the grid in modern power systems, identifying three routes to voltage instability and reporting the occurrence of supercritical Hopf bifurcation, successive saddle-node bifurcation of periodic orbits, subcritical Hopf bifurcation, and departure from a stable basin of attraction. The current loop of the rectifier plays a crucial role in these bifurcation behaviors. It is recommended to increase the bandwidth of the current loop to trigger Bautin bifurcation and avoid subcritical Hopf bifurcation for voltage stability.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Jiahui Pei, Hongbin Chen, Chi K. Tse
Summary: This article proposes three UAV swarm modes and UAV swarm assisted connectivity enhancement algorithms. By dividing the working modes and optimizing the algorithms, the goal of minimizing the number of UAVs and maximizing the connection time of MISN is achieved. Simulation results show that the algorithms have low complexity, significantly increased MISN connection time, and a small number of UAVs.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Chemistry, Analytical
James Delaney, Steve Dowey, Chi-Tsun Cheng
Summary: The rise of IoT has led to an increased demand for sensing devices with multiple integrated wireless transceivers. Intelligent radio selection techniques enable adaptive systems to achieve robust and reliable communication in dynamic channel conditions. This paper focuses on the wireless links between devices and access-point infrastructure, using multi-radio platforms and diverse transceiver technologies to ensure stable and reliable connections.
Editorial Material
Engineering, Electrical & Electronic
Chi-Tsun Cheng, Jorg Wollert, Xi Chen, Abraham O. Fapojuwo
Summary: This Special Issue of IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS) is dedicated to showcasing the latest developments and achievements in circuits and systems for Industry X.0 applications.
IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS
(2023)
Review
Chemistry, Multidisciplinary
Peter George, Chi-Tsun Cheng, Toh Yen Pang, Katrina Neville
Summary: Traditional industrial robots operate behind safety enclosures, while collaborative robots (cobots) work closely with human workers. Cobots have safety features that allow them to operate safely near humans and obstacles. They can be programmed to stop or slow down when they come in contact with humans or enter protected areas. This paper reviews cobot programming and control methods in manufacturing from 2018 to 2023, comparing their complexity and suitability for different users' skills.
APPLIED SCIENCES-BASEL
(2023)
Review
Engineering, Manufacturing
Xiaochen Sun, Maciej Mazur, Chi-Tsun Cheng
Summary: Material extrusion is a popular additive manufacturing technique, but it often results in internal voids in printed parts. This review explores various approaches to understanding and reducing these voids, including pre-deposition, in-situ, and post-process methods. Gaps in the current research are also identified for future investigation.
ADDITIVE MANUFACTURING
(2023)
Article
Chemistry, Multidisciplinary
Fraz Jamil, Toh Yen Pang, Chi-Tsun Cheng
Summary: Industry 4.0 provides significant advantages to manufacturing businesses in terms of productivity and efficiency, but they need to invest in technological readiness and expertise to integrate and implement I4.0 technologies. This paper presents a framework developed in collaboration with a cold-chain insulated packaging manufacturer in Melbourne to guide manufacturing businesses in improving efficiency and productivity. The proposed framework utilizes off-the-shelf components for a cost-effective retrofit, and experimental results show its effectiveness in accurately measuring material consumption and preventing downtime.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Electrical & Electronic
Jingxi Yang, Chi K. Tse, Dong Liu
Summary: By adjusting control parameters and triggering a homoclinic bifurcation, the hidden attractors can be eliminated and the transient stability of islanded microgrids can be improved; transient disturbances can be mitigated by protecting critical converters and accelerating the restarting process; the emergence of sub-synchronous oscillations can be eliminated by tripping off one or more specific converters.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Sihui Zhou, Qianhong Chen, Bin Zhang, Jingwen Gao, Chi K. Tse, Ligang Xu
Summary: This article presents a thorough analysis of how the diode's junction capacitance affects the performance of an HV power supply. A parameter design method is proposed to ensure a unique operating point and meet design specifications. The proposed method is validated through simulation and experimental results.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Meixuan Jade Li, Chi K. Tse, Ming Yi
Summary: This study proposes a cascading failure model for power systems that addresses event-triggered power flow divergence. The model is able to detect voltage instability events and derives equilibrium points under all conditions. It incorporates primary frequency control and introduces metrics to measure the cascading failure propagation rate and the influence of voltage instability events. Experimental results indicate the significant influence of power system configurations on voltage instability events.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2023)
