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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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Evaluating the Impact of Combinatorial Interaction Testing on Test automation: A Case Study from Industry 33rd

Evaluating the Impact of Combinatorial Interaction Testing o...

引用

33rd international conference on Software and Data engineering

作者： Daoud, Feras Bures, Miroslav David, Zdenek Syrovatka, Petr Czech Tech Univ Prague Czech Republic

ISBN: (纸本)9783031752001;9783031752018

Software testing regularly involves numerous setups and user inputs, leading to a combinatorial explosion of test cases. While Combinatorial Interaction Testing (CIT) has been theoretically investigated, its effectiveness in real-world scenarios remains unclear [1]. This research fills that gap by utilizing CIT in some live software projects. We led two studies: the first focuses on optimizing user input testing in jTrac, and the second focused on managing system configurations in Redmine, a comparative web application. We looked at CIT to customary testing strategies, breaking down components like test design time, test automation, test execution, suite size, and defect detection. The investigation gave valuable insights into enhancing CIT execution and reception. The results are promising. With CIT, the number of required test cases is significantly reduced, but at the same time, defect detection is improved. In the first study, the average time to detect a defect was 1.40 h (design, automation, execution, and evaluation) compared to 0.35 hwith CIT. Similar patterns emerged in the second study. These findings have important implications for both researchers and organizations. They highlight CIT's promise for software testing, including decreasing test case burden and perhaps improving defect detection rates. This study provides practical evidence for organizations and testers looking to improve their testing procedures.

关键词： Combinatorial Testing Model-Based Testing Empirical Efficiency Automated Testing Unified Combinatorial Interaction Testing

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Analysis of CAD tools in VLSI Physical design

Analysis of CAD tools in VLSI Physical design

引用

2025 IEEE international Students' conference on Electrical, Electronics and computer Science, SCEECS 2025

作者： Bharath, Duttuluru Jagadeesh, A. Chaitanya M, Uday Jaya, T. Saveetha Engineering College Department of Electronics and Communication Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798331529833

The increasing complexity of VLSI physical design has elevated the need for advanced CAD tools capable of efficiently managing tasks such as floor planning, placement, routing, and optimization. This study presents a detailed evaluation of prominent CAD tools, analyzing their effectiveness in addressing the critical demands of modern VLSI design, including power efficiency, performance, and scalability. By comparing the strengths and limitations of each tool, this work aims to guide practitioners in selecting optimal solutions for their specific design requirements. Additionally, emerging trends in CAD development, particularly the integration of AI and machine learning, are discussed as pathways to further enhance design automation. Our analysis provides insights that not only underscore the current capabilities of CAD tools but also suggest directions for future research to meet the evolving needs of the VLSI industry. © 2025 IEEE.

关键词： Power systems computer aided design

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Towards the automation of the Product Definition Process for Design-to-Order Manufacturing Systems 5th

Towards the Automation of the Product Definition Process for...

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5th international conference on Innovative Intelligent Industrial Production and Logistics

作者： Beauchemin, Maude Gaudreault, Jonathan Zwingmann, Xavier Lehoux, Nadia Univ Laval Quebec City PQ Canada

ISBN: (纸本)9783031807749;9783031807756

In the last decade, the focus of automation in the manufacturing industry has been on the physical and logical aspects of the production system, supposing the product definition is well known. The steps required to create this product definition (in terms of design, engineering, and industrialization) are still mostly achieved by humans, although making use of the computer-aided tools that compose the CAx chain. This is efficient when the same product is afterward produced thousands of times, making the extensive human labor profitable. However, for design-to-order manufacturing systems, such a methodology suffers from long lead times and exorbitant costs directly transferred to the client. Industrial visits and discussions with design-to-order manufacturers followed by a detailed modelization of their current manufacturing processes led us to target the need for automation of the product definition process. We propose a new approach focusing on product families defined by data and algorithms which encapsulate product family semantics. This approach allows clients to generate their own personalized product definitions from this family in a few clicks. Our approach is currently implemented in SMEs from different industries, ranging from the construction industry to the medical implant sector, as well as our own research factory producing personalized micro-trailers.

关键词： Design-to-order Industrialization CAD/CAM Process automation

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A Contribution for Vehicule Routing Problem in a Warehouse Environnement 11

A Contribution for Vehicule Routing Problem in a Warehouse E...

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11th international conference on Mechatronics and Robotics engineering, ICMRE 2025

作者： Trouillet, Benoît Univ. Lille Cnrs Centrale Lille Umr 9189 CRIStAL Lille France

ISBN: (纸本)9798331509293

In a warehouse context, the goal of the research project is to prove the effectiveness of a fully automated, infrastructure-free guidance system for pallet transfer within warehouses. The means of transfer used is a fleet of Automatic Handling Units (AHUs). The goal is warehouse automation, which has become a priority for the largest players in the logistics sector. The growth in the volume of goods handled is a consequence of the globalisation of the world economy and the increasing demand for fast and efficient supply chain solutions. Thus, it forces warehouses to adapt to the growing complexity of operations. Competition between warehouses and the need to reduce lead times for goods handling require operators to increase overall productivity and reduce operating costs while guaranteeing maximum security. This article addresses the scientific challenge of automatic and optimized fleet management of AHUs. It involves proposing a routing system for the AHU fleet without deadlocks that allow regularly submitted missions to be carried out. © 2025 IEEE.

关键词： AHU Routing Heuristics Logistics Optimization Warehouse automation

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Integration of Process Optimization and automation: A Way to AI Powered Digital Transformation 1

Integration of Process Optimization and Automation: A Way to...

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1st international conference on Advances in computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Kotte, Kulasekhara Reddy Thammareddi, Latha Kodi, Divya Anumolu, Venkateswara Rao Arun Kumar, K. Joshi, Shubham INC SLRI Solutions India India Cyber Security Senior Data Analyst Truist Financial India Technical Architect ERP Solutions- Information Technology India Big Data Architect India Bipin Tripathi Kumaon Institute of Technology Department of Computer Science & Engineering Almora India

ISBN: (纸本)9798331518578

One of the most important factors facilitating AI-powered digital transformation is the combination of process automation and optimisation. Organisations may improve operational efficacy, save costs, and streamline procedures by utilising cutting-edge technology like robotic process automation (RPA), machine learning (ML), and artificial intelligence (AI). While automation seeks to reduce human participation in repetitive and rule-based operations, process optimisation concentrates on improving current business processes to attain improved productivity. The development of intelligent, adaptable, and self-improving systems is made possible by the combination of these two methodologies. Predictive findings, real-time decision-making, and customised customer experiences are further made possible by AI-driven analytics. This connection promotes innovation, scalability, and agility across sectors, giving businesses a competitive edge in the quickly changing digital market. The article examines the main principles, advantages, and difficulties of this shift and provides a road map for businesses looking to automate and optimise processes using AI in order to attain operational excellence and sustainable growth. © 2025 IEEE.

关键词： Decision making

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Simulation analysis of higher harmonics of traction current and research on suppression scheme 5

Simulation analysis of higher harmonics of traction current ...

引用

5th international conference on Signal Processing and computer Science, SPCS 2024

作者： Wang, Yunchuan Zhang, Zhenhai School of Automation and Electrical Engineering Lanzhou Jiaotong University Lanzhou730070 China

ISBN: (数字)9781510686731

ISBN: (纸本)9781510686724

With the rapid development of the production economy, electrified EMU trains have become the main means of transportation for people to travel. But the ensuing power quality problem has also become one of the main concerns in the railway field today. When the electric locomotive is running, the harmonic currents in the traction current may cause interference to the railway signaling equipment (track circuits) along the line. Therefore, in this paper, we first simulate and analyze the traction current of the locomotive, and then take the useful signal 2600Hz~2630Hz, the harmonic signal 2550Hz, and 2650Hz as an example, and design a FIR band-pass filter based on genetic annealing algorithm. Compared with the traditional digital filter, it can be intuitively observed that the optimized filter filters out harmonic interference efficiently. © 2025 SPIE.

关键词： FIR filters

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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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Virtual Commissioning of Mass Personalisation Manufacturing System Based on Digital Twins in Smart Factory Environment 11

Virtual Commissioning of Mass Personalisation Manufacturing ...

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11th international conference on Mechatronics and Robotics engineering, ICMRE 2025

作者： Al-Obaidi, Yaser Al-Shibaany, Zeyad Leon, Marianthi School of Engineering University of the West of England Bristol United Kingdom

ISBN: (纸本)9798331509293

The growing demand for mass personalisation in manufacturing has necessitated integrating advanced technologies that enable flexible, efficient, and scalable production systems. This paper presents the virtual commissioning of a mass personalisation manufacturing system in a smart factory environment, leveraging digital twin technology. The study explores the application of virtual commissioning to validate and optimise measuring and drilling Stations in a smart factory environment, highlighting the use of Digital Twins, the Internet of Things, and automation tools to streamline the transition from design to implementation. © 2025 IEEE.

关键词： Flexible manufacturing systems

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AquaSense: Climate-Aware Smart Irrigation System for Water Efficiency 4

AquaSense: Climate-Aware Smart Irrigation System for Water E...

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4th international conference on Sentiment Analysis and Deep Learning, ICSADL 2025

作者： Baranitharan, B. Jeswin, J. Faizaan, A. Mohamed Babu, A.P. Chandru Priyangaa, R.M. Jaya Reddy, V. Sree Charan Kalasalingam Academy of Research and Education Department of Agricultural Engineering Tamil Nadu Virudhunagar India Kalasalingam Academy of Research and Education Department of Information Technology Tamil Nadu Virudhunagar India Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Tamil Nadu Virudhunagar India

ISBN: (纸本)9798331523923

This research work demonstrates a smart agricultural automation and surveillance system utilizing an ESP8266 microcontroller. The system combines data for monitoring external variables such heat, light, and water in the soil with data-from OpenWeatherMaps API-for the purposes of automation of irrigation. The use of a Wi-Fi enabled web interface gives a graphical view of temperature, soil moisture, weather condition, pump status, and watering history in real time. The pump is controlled based on predefined conditions to achieve maximum water efficiency and good plant condition. This low-cost, scalable solution applies to smaller-scale irrigation hubs with highlights in automation and resource efficiency. © 2025 IEEE.

关键词： Soil moisture

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