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2023 intelligent computing and control for engineering and business systems, iccebs 2023

ISBN: (纸本)9798350394580

The proceedings contain 397 papers. The topics discussed include: intelligent smart trolley system using Arduino;effective and precise detection of hazardous fires from CCTV images using YOLOv7 algorithm in comparison with CNN;criminal activity detection and prevention using CCTV surveillance;cold supply chain logistics with IoT to ensure quality and security of the transported goods;student academic analyzer and career guidance system using data analytics and visualization techniques;FPGA implementation of image registration using accelerated CNN;an efficient fetal health prediction system using enhanced XGB Classifier Compared Over K-nearest neighbor classifier with less complexity and improved accuracy;detection of malignant and benign skin lesions using the influence of activation function and accuracy analysis in densely connected convolutional network compared over convolutional neural network;and a robust and safe artificial intelligence based robot navigation for smart buildings.

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2023 intelligent computing and control for engineering and business systems (iccebs)

2023 Intelligent Computing and Control for Engineering and B...

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2023 intelligent computing and control for engineering and business systems, iccebs 2023

作者： Behera, Saswati Kumari Karthikeyan, M. Amose David, A. Evan Singh, M. Mohammed Azeem Affan, A. Sri Sairam Engineering College Department of Electrical and Electronics Engineering Chennai India

ISBN: (纸本)9798350394580

The Advanced Head-light control System (AHCS) seeks to automatically change the vehicle's headlamp beam in horizontal direction to as fully illuminate the curving road is possible without upsetting other motorists. Here, the steering wheel serves as the foundation of our suggested solution for the horizontal headlamp adjustment. The mechanism makes, advantage of the two lights. There are two lights: one for the far-reaching beam and the other for the nearby beam. When the car is traveling below the limit of speed, the lower light (for low beam light) is going to be on, and when it is traveling beyond the threshold speed, the upper light (for high beam light) is going to be on. The threshold figure that we used was 50 Kmph. The microcontroller receives an output from the steering wheel, and depending on whether the wheel is turning to the right or left, it drives the headlight in that direction. On the DC motor, the headlight is mounted. During the conceptualization stage, a few factors included the components' accuracy, dependability, and availability. © 2023 IEEE.

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2023 intelligent computing and control for engineering and business systems (iccebs) GPS enabled Smart Walking Stick

2023 Intelligent Computing and Control for Engineering and B...

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2023 intelligent computing and control for engineering and business systems, iccebs 2023

作者： Dinesh, Kumar R. Deva, K. Dinesh, Balaji R. Pavithran, V. Isaac Richardson, Jacob E. Sri SaiRam Engineering College Department of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798350394580

The project attempts to make it easier for persons who are blind or hard of hearing to navigate and get around barriers. The Smart Walking Stick used in the research is based on an ultrasonic sensor. A buzzer is used to inform those who are blind or visually handicapped, and a vibration motor is positioned at the stick's holding position to alert those who are deaf or hard of hearing. An ultrasonic sensor module, model HCSR04, is used to find out hurdles in the way. The device uses an ultrasonic sensor to measure the separation between the object and the walking stick and if the distance is within the coded distance in the Arduino microcontroller, an alert message will be given in the form of buzzer sound and also by the vibration motor moreover a notification will be sent to the respective devices during abnormal situations. The GPS and GSM module is also enclosed in the stick to provide the location of the person to the precoded mobile number during any emergency situations. © 2023 IEEE.

关键词： Global Positioning System Microcontroller Ultrasonic sensor

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2023 intelligent computing and control for engineering and business systems (iccebs)

2023 Intelligent Computing and Control for Engineering and B...

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intelligent computing and control for engineering and business systems (iccebs)

作者： Saswati Kumari Behera Karthikeyan M Amose David A Evan Singh M Mohammed Azeem Affan A Department of Electrical and Electronics Engineering Sri Sairam Engineering College Chennai India

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2023 intelligent computing and control for engineering and business systems (iccebs) GPS enabled Smart Walking Stick

2023 Intelligent Computing and Control for Engineering and B...

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intelligent computing and control for engineering and business systems (iccebs)

作者： kumar R Dinesh K Deva Balaji R Dinesh V Pavithran Jacob E Isaac Richardson Department of Electronics and Communication Engineering Sri SaiRam Engineering College Chennai India

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Data-Driven Group Formation control of Cyber-Physical systems via Distributed Cloud computing

IEEE Transactions on Industrial Cyber-Physical Systems

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IEEE Transactions on Industrial Cyber-Physical systems 2025年 3卷 341-350页

作者： Ren, Hongru Long, Yinren Li, Hongyi Huang, Tingwen Guangdong University of Technology School of Automation Guangdong-Hong Kong Joint Laboratory for Intelligent Decision and Cooperative Control Guangdong Provincial Key Laboratory for Intelligent Decision and Cooperative Control Guangzhou510006 China Southwest University College of Electronic and Information Engineering Chongqing400715 China Shenzhen University of Advanced Technology Faculty of Computer Science and Control Engineering Shenzhen518055 China

This paper investigates the group formation control problem for cyber-physical systems (CPSs) with random communication constraints. The distributed cloud computing system is constructed to divide agents into groups and establish communication between agents. A data-driven predictive control strategy is proposed by combining networked predictive control and model-free adaptive control method. The desired group formation control performance can be achieved and the three-channel random communication constraints of CPSs are actively compensated. Thisstrategy does not require the system model and relies solely on the system's I/O data for adaptive learning. Further analyses concludes the conditions for simultaneous reach stability and group formation of the closed-loop CPSs using the data-driven predictive control strategy. The effectiveness of the proposed strategy is validated by simulation results. © 2023 IEEE.

关键词： Distributed cloud

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A PERSONALIZED MODEL BASED ON SIMPLE RECURRENT UNIT FOR ACCURATE PREDICTION OF STOCK PRICE TREND

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International Journal of Innovative computing, Information and control 2025年第3期21卷 791-812页

作者： Bai, Wenjiang Yuan, Shuai Lu, Yan Xu, Mingyan Chen, Shuoru Zhao, Feng Kang, Feng Intelligence and Information Engineering Department Taiyuan University No. 7 Fendong Street Tanghuai Industrial Park Taiyuan030032 China Information Engineering College Yantai Institute of Technology No. 100 Gangcheng East Street Laishan Yantai264005 China School of Statistics Computing Shandong Technology and Business University No. 191 Haibin Middle Road Laishan Yantai264005 China School of Computer Science and Technology Computing Shandong Technology and Business University No. 191 Haibin Middle Road Laishan Yantai264005 China Yantai Key Laboratory of Big Data Modeling and Intelligent Computing Shandong Technology and Business University No. 191 Haibin Middle Road Laishan Yantai264005 China

Stock is a vital component of the financial market, and how to accurately predict stock price trend is a popular topic and open problem. In order to achieve higher prediction accuracy, we propose a personalized model based on simple recurrent unit (PSRU), which can effectively eliminate the impact of noise and diversity of stock price series. Specifically, we firstly introduce variational mode decomposition (VMD) in terms of parameter determination for denoising parameters and perform denoising on the time series, effectively reducing the noise in the data and improving the prediction accuracy. Then, to better capture the characteristics of diverse time series, we cluster the time series into multiple classes, and each class fits an optimal prediction model. Especially, to improve the clustering, we introduce the dynamic multi-perspective personalized similarity measurement (DMPSM), which can help avoid singularities, time shifts and warping in time series. Finally, SRU is adopted as the prediction model which can achieve high prediction accuracy with excellent mapping and parallel processing capabilities. The experimental results show that PSRU outperforms other commonly used time series forecasting methods on multiple performance metrics, demonstrating the effectiveness and superiority of PSRU in stock price prediction, especially in dealing with nonlinear and non-stationary time series data. © 2025, ICIC International. All rights reserved.

关键词： Prediction models

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What Is the Best Solution for Smart Buildings? A Case Study of Fog, Edge computing and Smart IoT Devices

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APPLIED SCIENCES-BASEL 2025年第7期15卷 3805-3805页

作者： Chiozzotto, Mauro Ramirez, Miguel Arjona Univ Sao Paulo Dept Elect Syst Engn Escola Politecn Ave Prof Luciano Gualbertotrav 3158 BR-05508010 Sao Paulo SP Brazil

This paper presents a case study of Fog computing, Edge computing (EC) and intelligent EC applied to Smart Buildings, focusing on the deployment of innovative services and smart IoT devices, discussing new architecture as Software-Defined Network (SDN). Specifically, a comprehensive solution of a Smart Building case is proposed to validate main statements and conclusions are drawn, providing a general guideline to address the problems of choosing between Edge or Fog computing and the specific category of IoT devices. The methodology employed in this study is based on field research conducted in buildings within the metropolitan region of S & atilde;o Paulo, Brazil, that aim to enable their transformation into Smart Buildings (SBs). Moreover, principles of Electronic systems engineering and Cloud computing such as reliability, scalability and security are applied. In that way, this study integrates advanced multimedia technical services to enhancing security and communication within the SBs through centralized control. The method focuses on identifying and analyzing the most common problems observed in field research within SBs in early stages of development, prior to the intensive implementation of IoT devices and Fog or Edge computing technologies on the state of the art. The research adopts a comparative approach, investigating the best solutions for each application category. The results are consolidated in a main table within the article, correlating solutions to the four main problems identified in the field research, such as impairments in voice over IP and video communication using IoT devices;latency and delays in communication between SBs and the Cloud center;access security issues;and the Quality of Experience of video over IP communication, both in live transmissions and recordings between SBs. Regarding applications, this study considers the use of specific IoT devices and Cloud computing architectures, such as Fog or IEC. Furthermore, it explores the im

关键词： Edge computing (EC) Fog intelligent EC (IEC) IoT network functions visualization (NFV) quality of experience (QoE) software-defined network (SDN) voice over IoT (VIoT)

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Dynamic event-triggered sliding mode control of networked switched systems with imperfect transmissions

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INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR control 2025年第1期35卷 395-416页

作者： Wang, Chunlian Ma, Tiedong Bing, Zhenshan Knoll, Alois Su, Xiaojie Chongqing Technol & Business Univ Sch Artificial Intelligence Chongqing Key Lab Intelligent Percept & Blockchain Chongqing Peoples R China Chongqing Univ Sch Automat Chongqing 400044 Peoples R China Dept Informat Munich Germany

As a significant type of dynamic systems, switched systems have been successfully applied to the construction of many engineering fields. Recently, the studies of networked switched control systems have received a lot of attention. However, the intervention of the network often causes the delay or packet loss during data transmission, resulting in incomplete data transmission. The paper studies a sliding mode observer design for above-mentioned systems with external disturbance under an imperfect transmission communication link. By constructing a dynamic event generator, a dynamic event-triggered mechanism between the event-generator and controller is developed to save additional network bandwidth and improve system performance. A desirable sliding surface function is built to solve the complexity of system analysis problems caused by network-induced delay and packet-dropout-induced imperfect transmission. Then, a corresponding event-based integral-type sliding mode observer is constructed to estimate inaccessible system states, guaranteeing the reachability of the sliding surface. Based on the augmented system dynamics, sufficient conditions are derived to guarantee exponent stability with a weighted & Laplacetrf;2$$ {\mathcal{L}}_2 $$-& Laplacetrf;infinity$$ {\mathcal{L}}_{\infty } $$ performance level. Finally, two simulations are presented to demonstrate the feasibility and effectiveness of the proposed method.

关键词： dynamic event-triggered scheme networked switched systems sliding mode control

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IOT and developed deep learning based road accident detection system and societal knowledge management 2nd

IOT and developed deep learning based road accident detectio...

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2nd International Conference on Next-Generation computing and Information systems, ICNGCIS 2023

作者： Ananth, K.R. Fayaz Khan, Sarfraz Agarwal, Abhishek Wasim Bhatt, Mohammed Murtaza Alvi, Ahmad Degadwala, Sheshang Nandha Arts and Science College Tamil Nadu Erode India SAT – Algonquin College Ottawa Canada Vermont State University United States Model Institute of Engineering and Technology J&K Jammu India College of Finance Department of Business Administration Saudi Electronic University Riyadh Saudi Arabia Department of Computer Engineering Sigma University Gujarat Vadodara India

ISBN: (纸本)9781032738659

business organizations and the research community try to precisely detect occurrences and assist in the case of a disaster. Most development systems are hardware-based, making them pricey and unavailable in every vehicle. A vehicle’s sensors can be destroyed in various ways, including minor accidents or fixed interactions. In instances, the sensors are incapable of detecting an accident. intelligent phone sensors are a great alternative because of their dependability and availability. The study involves creating a smartphone application that continually reads sensor data and sends it to the cloud. The crash is discovered by threshold analysis. The critical novelty of this research is creating a scheme that alerts nearby hospitals and ambulances when an accident occurs. The system will have more minor inaccuracies, precisely identify accidents, and perform better than earlier techniques using four sensory inputs. This paper introduced novel types of deep learning for accident detection. © 2025 The Author(s).

关键词： Knowledge management

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