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An Adaptive Golden Jackal Optimization Algorithm for Mobile Robotic Path Planning

An Adaptive Golden Jackal Optimization Algorithm for Mobile ...

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2024 International conference on Mechatronics and Intelligent Control, ICMIC 2024

作者： Chen, Siwen Zheng, Xiujuan Shanghai United Imaging Healthcare Co. Ltd. Shanghai China Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education Wuhan University of Science and Technology Wuhan China Institute of Robotics and Intelligent Systems Wuhan University of Science and Technology Wuhan China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

Given the shortcomings of the traditional Golden Jackal Optimization (GJO) algorithm, including limited accuracy and slow convergence speed in solving mobile robot path planning problems, an improved adaptive Golden Jackal Optimization (IAGJO) method is proposed. Firstly, a nonlinear adaptive energy strategy is presented to adjust the energy decay pattern, balancing global and local search. Secondly, an enhanced position update mechanism based on Cauchy and Gaussian mutation increases population diversity and guide the search based on optimal individuals, thereby facilitating efficient exploration of unknown regions and avoiding local optima. Finally, the IAGJO algorithm is applied to mobile robot path planning (MRPP), demonstrating that the IAGJO achieves shorter path lengths and higher search efficiency, exhibiting significant advantages over existing methods. © 2025 SPIE.

关键词： Optimization algorithms

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Paired-Spacing-Constrained Package Routing with Net Ordering Optimization 25

Paired-Spacing-Constrained Package Routing with Net Ordering...

引用

30th Asia and South Pacific Design automation conference, ASP-DAC 2025

作者： Ciou, Yi-Sian Jiang, Ying-Jie Liu, Yi-Yu Fang, Shao-Yun Liu, Wen-Hao Department of Electrical Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Computer Science and Information Engineering National Taiwan University of Science and Technology Taipei Taiwan Nvidia Hsinchu Taiwan

ISBN: (纸本)9798400706356

Package design has become increasingly complex with the evolution of technology nodes and heterogeneous integration. To optimize timing performance and signal integrity, it is essential to separate different pairs of geometrically adjacent nets with distinct spacing values, which is referred to as the paired-spacing constraint. This paper presents the first free-assignment package routing algorithm flow considering the paired-spacing constraint. To minimize the routing resource demand and overall wirelength, we propose a dynamic programming-based net ordering method to maximize the number of nets with the same/similar spacing rules positioned next to each other. In addition, the free-assignment routing problem is elegantly solved with a minimum-cost maximum-flow problem on a delicately designed graph model. Experimental results show that the proposed flow can achieve 100% routability for the adopted industrial-modified benchmarks. In contrast, even with modifications to superficially consider paired spacings, a classic model experiences significant routability degradation. © 2025 Copyright is held by the owner/author(s). Publication rights licensed to ACM.

关键词： Dynamic programming

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A Hybrid Machine Learning and Numeric Optimization Approach to Analog Circuit Deobfuscation 25

A Hybrid Machine Learning and Numeric Optimization Approach ...

引用

30th Asia and South Pacific Design automation conference, ASP-DAC 2025

作者： Jain, Dipali Deepak Zhao, Guangwei Datta, Rajesh Kumar Shamsi, Kaveh University of Texas at Dallas Ece Department RichardsonTX United States

ISBN: (纸本)9798400706356

Oracle-guided circuit deobfuscation (or learning) is the problem of disambiguating an obfuscated (partially hidden) circuit given black-box access to it. This has applications in various hardware security areas such as analyzing the security of circuit obfuscation defense schemes, side-channel analysis, reverse engineering, and hardware Trojan detection. Generic deobfuscation of analog circuits has received less attention than the digital counterpart with existing methods relying on manual expert work to extract closed-form equations from the circuit. In this work, we move towards a significantly more automated process by using a combination of machine learning and Newton-method-based analog circuit optimization. We showcase how this hybrid scheme is superior to either standalone approach in terms of runtime and accuracy on a set of analog circuits that include amplifiers, filters, and oscillators. We achieve >98% average accuracy without any manual expert equation extraction in addition to demonstrating a superior resilience to process variation. © 2025 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.

关键词： Reverse engineering

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An Algebraic Approach to Partial Synthesis of Arithmetic Circuits 25

An Algebraic Approach to Partial Synthesis of Arithmetic Cir...

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30th Asia and South Pacific Design automation conference, ASP-DAC 2025

作者： Sampathkumar, Bhavani Das, Ritaja Martin, Bailey Enescu, Florian Kalla, Priyank Electrical and Computer Engineering Univ. of Utah Salt Lake CityUT United States Mathematics and Statistics Georgia State University AtlantaGA United States

ISBN: (纸本)9798400706356

We present an approach to partial logic synthesis of arithmetic circuits. Its targeted applications are rectification of buggy circuits, and computing care and don't care sets at internal nets of the circuit. The approach models the circuit by way of polynomial ideals in rings with coefficients in the field of rationals (). Techniques from commutative algebra are applied to compute internal patch functions as polynomials over . We describe how the care set and the don't care conditions manifest in the algebraic setting, and show how to generate corresponding Boolean functions from polynomials over . Experiments are conducted over various integer multiplier architectures which demonstrate the efficacy of our approach, where SAT/interpolation based techniques are infeasible. © 2025 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.

关键词： Boolean functions

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IoT and Blockchain for Efficiency in Smart Home automation with BiLSTM-RNN Model 3

IoT and Blockchain for Efficiency in Smart Home Automation w...

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3rd International conference on Integrated Circuits and Communication Systems, ICICACS 2025

作者： Mahendran, A. Vasa, Yeshwanth Devi, S. Rukmani Dubey, Vivek Ravishankar Rao, Gali Nageswara Nishant, Neerav Sona College of Arts and Science Department of Computer Science Salem India Department of Information Technology Woodside Ct Franklin United States Saveetha College of Liberal Arts and Sciences Simats Deemed to be University Department of Computer Science Chennai India Jai Narain College of Technology Department of Computer Science and Engineering Bhopal India Aditya Institute of Technology and Management Department of Information Technology Srikakulam India Maharishi University of Information Technology Department of Computer Science and Engineering Lucknow India

ISBN: (纸本)9798331508456

One of the numerous things made easier by the rapid advancement of technology is home automation, which has been growing in popularity over the past few years. Mechanization and automation have permeated nearly every facet of human existence. Implementing a network that can link different home automations through sensors, actuators, and other data sources is the main objective of this approach. Sensors, preprocessing, feature engineering, and training the model are the three stages that make up the suggested method. Sensors are useful because they can gather information about the environment and then process it to produce results that are correct relative to that environment. The raw data on energy usage is normalized and outliers are removed as part of the preparation steps in the suggested methodology. Label encoding methods were used in feature engineering to convert the input into a feature vector. For training the model, the RNN-BiLSTM-CNN was employed. Compared to alternatives such as RNN and LSTM, the suggested model obtains an average accuracy rate of 95.06%. © 2025 ieee.

关键词： Long short-term memory

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Design Process and Development of automation for Smart Buildings 1

Design Process and Development of Automation for Smart Build...

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1st International conference on Advances in Computer science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Sethi, Gunjan Khurana, Deepika Verma, Monika Pant, Surmadhur Chauhan, Priyanka Bhatt, Bhaskar Department of Computer Science and Engineering Delhi Technical Campus Uttar Pradesh Greater Noida India IIMT College of Engineering Department of Computer Science and Engineering Uttar Pradesh Greater Noida India Shivalik College of Engineering Department of ECE Dehradun India Uttaranchal Institute of Technology Uttaranchal University Dehradun248007 India Bipin Tripathi Kumaon Institute of Technology Department of Mechanical Engineering Dwarahat Almora India

ISBN: (纸本)9798331518578

In order to create spaces that are secure, cozy, energy-efficient, and visually beautiful, smart buildings are becoming more and more sophisticated cyber-physical systems. However, as functional complexity, financial concerns, and market demands increase, traditional design methodologies are becoming less effective. Current framework's plan and activity have been totally changed by the presentation of automated smart building, which ensures expanded security, better inhabitant solace, and energy effectiveness. With an emphasis on MATLAB-based reproductions, this study offers a careful assessment of the plan interaction and improvement procedures for computerizing savvy structures. The study delineates how MATLAB makes it simpler to depict, reproduce, and investigate savvy building frameworks with certainty. Through the mix of numerous advancements, like sensors, regulators, and correspondence conventions, the research shows the turn of events and check of a mechanized smart building framework. The intelligent building's building automation system prioritizes a humanized interface and uses a combination of mechanical, electrical, and fire control systems, access control systems, and parking management systems to give building occupants a convenient and comfortable place to live and work. The discoveries show prominent additions in functional viability, natural adaptability, and energy utilization. The conventional heuristic and ad hoc design paradigms are becoming ineffective and inadequate for the future due to cost, the requirement to handle growing functional complexity, adaptability, supply chain fragmentation, and time-to-market pressure. © 2025 ieee.

关键词： Smart homes

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Using Convolutional Neural Networks for Image Recognition in IoT Applications

Using Convolutional Neural Networks for Image Recognition in...

引用

2025 International conference on Pervasive Computational Technologies, ICPCT 2025

作者： Rajababu, Durgam Veerraju, Sampenga Kumar, K. Suresh Gupta, Sonali Thurai Raaj, V.B. Joshi, Rahul Sr University School of Engineering Department of Eee Telangana Warangal India Dadi Institute of Engineering and Technology Department of Electronics and Communications Engineering Andhra Pradesh Anakapalli Visakhapatnam531002 India Panimalar Engineering College Mba Department Varadarajapuram Poonamallee Chennai600123 India J C Bose University of Science and Technology Ymca Faridabad India Madanapalle Institute of Technology & Science Electrical and Electronics Engineering Andhra Pradesh Madanapalle India Manav Rachna International Institute of Research and Studies Department of Journalism & Mass Communication SMeH Haryana India

ISBN: (纸本)9798331508685

Convolutional Neural Networks (CNNs) have grown into a powerful picture identification tool. They are an important part of making Internet of Things (IoT) apps. In this regard, CNNs make it possible to analyse visual data gathered from networked devices, like cameras and sensors, effectively and accurately. With an emphasis on its potential for real-time applications for example smart surveillance, healthcare monitoring, autonomous cars, and industrial automation, this study investigates the incorporation of CNN-based image identification into IoT contexts. We tackle important issues such as the requirement for low-latency processing, energy economy, and computing limitations on edge devices. In order to maximise CNN performance in the resource-constrained IoT ecosystem, strategies like model compression, edge computing, and distributed architectures are covered. The ability to interpret large volumes of visual data is improved by the integration of CNNs with IoT, providing creative solutions for automation and intelligent decision-making across numerous industries. © 2025 ieee.

关键词： Convolution

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Research on Indoor Target Ranging Based on Improved Yolov5

Research on Indoor Target Ranging Based on Improved Yolov5

引用

2024 International conference on Mechatronics and Intelligent Control, ICMIC 2024

作者： Wang, Ting Tan, Bin School of Civil Engineering and Architecture Nanchang Hangkong University Nanchang330063 China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

Visual object detection and ranging is a technology that uses computer vision technology to detect and distance target objects in images or videos. This technology plays an important role in the field of industrial automation. In this paper, based on the improved yolov5 algorithm, the adaptive receptive field convolution module is introduced in target detection, and the triangulation principle in the traditional method is used to achieve target detection and ranging, so as to achieve more accurate target detection and improve ranging accuracy. The accuracy of the system can be verified by many experiments. The experimental results show that the ranging error of the system is less than 5% in the range of 0.2~1m. © 2025 SPIE.

关键词： Machine vision

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Drag Reduction System with Sliding Variable Rear Wing for Enhanced Racing Car Performance 9

Drag Reduction System with Sliding Variable Rear Wing for En...

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9th International conference on Mechanical engineering and Robotics Research, ICMERR 2025

作者： Kajiwara, Shinji Ton, Cito Kindai University Faculty of Science and Engineering Department of Mechanical Engineering Higashiosaka Japan

ISBN: (纸本)9798331509262

Rear wings, designed to enhance driving performance and cornering stability, need to generate significant downforce at relatively low speeds. However, a large rear wing angle of attack increases aerodynamic drag at high speeds, reducing overall performance and fuel efficiency. To mitigate this, the goal is to decrease the angle of attack at high speeds, thereby reducing both downforce and drag, which in turn lowers fuel consumption. Conversely, at low speeds, such as during cornering, the angle of attack is increased to produce greater downforce and improve driving stability. To achieve both objectives, a DRS (Drag Reduction System) with a variable rear wing will be developed. The rear wing is designed with a two-stage configuration, where the lower stage slides, utilizing the tail section at the rear of the vehicle. Initially, the system's behavior was validated through both CAE analysis and wind tunnel testing, followed by the construction of a full-scale rear wing, which was tested on a Student Formula SAE vehicle to measure downforce. The results indicated that 80 N of downforce could be generated at a low speed of 30 km/h (8.3 m/s) and 145 N at a high speed of 50 km/h (13.9 m/s). © 2025 ieee.

关键词： Aerodynamic drag

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Hydro-Environmental Autonomous Cleaning System (HEACS)

Hydro-Environmental Autonomous Cleaning System (HEACS)

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2025 ieee International Students' conference on Electrical, Electronics and Computer science, SCEECS 2025

作者： Ingale, Kiran Junghare, Rugved Jadhav, Atharva Jain, Rishi Jadhav, Digvijayy Jadhav, Tanaya Jasuja, Ishita Vishwakarma Institute of Technology Department of Multidisciplinary Engineering Pune India

ISBN: (纸本)9798331529833

The Hydro-Environmental Autonomous Cleaning System (HEACS) addresses the critical issue of water pollution by autonomously collecting waste from water bodies and monitoring water quality. This system integrates a conveyor belt mechanism powered by DC motors for efficient waste collection, including oil spills. Water quality is maintained using Total Dissolved Solids (TDS) sensors, which trigger the injection of purifying chemicals like 777 Bioconcentrate, chlorine dioxide, Copper Sulphate, or Aluminium Sulphate when necessary. Collected garbage weight is measured using load sensors, with real-time data displayed on an LCD connected to an Arduino Uno. Autonomous navigation and operation are managed via Rx/Tx modules, ensuring effective performance in various environmental conditions. HEACS offers a comprehensive solution for water pollution control, combining automation, effective waste management, and environmental monitoring to protect aquatic ecosystems. © 2025 ieee.

关键词： Oil spills

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