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检索条件"任意字段=2023 International Research Conference on Smart Computing and Systems Engineering, SCSE 2023"

共 8072 条记录，以下是51-60 订阅

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research on logistics demand portfolio forecasting in Shandong Province based on GM(1,N) model 4

Research on logistics demand portfolio forecasting in Shando...

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2024 4th international conference on Intelligent Traffic systems and smart City, ITSSC 2024

作者： Liu, Huaqiong Cao, Dehao Zhang, Jingyi Shandong Jiaotong University Shandong Jinan250300 China

ISBN: (纸本)9781510686304

With the rapid development of economy of globalization and e-commerce, logistics industry has become an indispensable key link in modern economic system. Logistics demand forecasting is a key link in logistics management, which plays an important role in improving logistics efficiency, reducing operating costs and optimizing resource allocation. This paper aims to discuss in detail the current situation and challenges in the field of logistics demand forecasting, select 7 influencing factors of economic indicators in Shandong Province from 2017 to 2022 as input indicators, and cargo transportation volume as the output indicators of logistics demand, and on the basis of gray correlation analysis, select several influencing factors with high correlation degree with feature series as prediction indicators, construct GM(1,7) model, use MATLAB to solve the model, and calculate the parameters. The forecast value of logistics demand in Shandong Province from 2017 to 2023 was obtained, and validity of model was tested, and the prediction of this model has high reliability and accuracy, 00with a reasonable relative error. In addition, this paper combines the present situation of logistics development in Shandong Province. Based on this, three suggestions are put forward: increasing infrastructure investment, optimizing agricultural and manufacturing logistics, and improving urban distribution network. © 2025 SPIE.

关键词： Operating costs

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Adaptive and Adaptable Automation in manufacturing: A bibliometric review 6

Adaptive and Adaptable Automation in manufacturing: A biblio...

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6th international conference on Industry 4.0 and smart Manufacturing, ISM 2024

作者： Vigoroso, Lucia Caffaro, Federica Tronci, Massimo Fargnoli, Mario University of Roma Tre Department of Education Via del Castro Pretorio 20 Rome00185 Italy Sapienza University of Rome Department of Mechanical and Aerospace Engineering via Eudossiana 18 Rome00184 Italy

Automation in manufacturing systems is rapidly changing, shifting from rigid solutions towards the use of smart technologies that better support manufacturers in meeting market demand. The implementation of these new technologies augments the complexity of managing manufacturing systems, thus necessitating the achievement of harmony between automation and human factors. Several studies have tried to summarize the latest achievements by proposing systematic reviews in the automation domain to define the state-of-the-art. However, a quantitative examination of literature metrics using statistical tools, i.e. a bibliometric analysis, is still missing in this domain, although it can complement extant studies by augmenting knowledge regarding potential future trends and research directions. Based on this, this study proposes a bibliometric analysis to analytically document the volume, intellectual structure, and knowledge development directions in the field of adaptive and adaptable automation in the manufacturing context. As a whole, 68 journal articles published in the period 2000-2023 were selected and analyzed. © 2025 The Authors.

关键词： smart manufacturing

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Design and implementation of intelligent driving simulation platform based on Unity3D 4

Design and implementation of intelligent driving simulation ...

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2024 4th international conference on Intelligent Traffic systems and smart City, ITSSC 2024

作者： Li, Pengkun Peng, Tao Zhang, Zhiguo Duan, Tingting Liang, Rongliang Li, Haitao Liu, Xiaolong School of Automobile and Transportation Tianjin University of Technology and Education Tianjin30000 China Shanghai Artificial Intelligence Laboratory Shanghai200232 China Technology and Research Center Co. Ltd. Tianjin300300 China Transportation College Tianjin Sino-German University of Applied Sciences Tianjin300350 China

ISBN: (纸本)9781510686304

With the rapid advancement of computer virtual reality technology, the demand for simulation-based intelligent driving systems in the domains of roads, traffic, vehicles, and safety has become increasingly prominent. However, the closed nature of current technologies, high costs, limited application scenarios, and significant discrepancies between simulation results and real-world outcomes have constrained the progress and application of driving simulation technology. In response to these challenges, this paper presents the development of virtual reality intelligent driving simulation software using the open-source Unity3D physics engine. By integrating engineering design and 3D modeling, we have constructed an open-source driving simulation system that offers realistic simulation effects, flexible application scenarios, and the potential for further development. © 2025 SPIE.

关键词： Virtual environments

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Efficient Temporal Data Mining Technique Using Dynamic Time Warped LSTM for E-Commerce Recommendation systems 3rd

Efficient Temporal Data Mining Technique Using Dynamic Time ...

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3rd international conference on Intelligent systems and Sustainable computing, ICISSC 2023

作者： Rajassekharan, Dinesh Subramanian, Jayasundar Lazar, Arokia Jesu Prabhu Pichuka Veera Venkata Satya, Srinivas Ray, Samrat Ammasai, Viswanathan Sengan, Sudhakar Faculty of AI Computing and Multimedia Lincoln University College Petaling Jaya47301 Malaysia Department of Computer Science and Engineering Idhaya Engineering College For Women Tamil Nadu Chinnasalem606201 India Department of Computer Science and Engineering CMR Institute of Technology Hyderabad501401 India Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Andhra Pradesh Vaddeswaram522502 India Dean Head of International Relations IIMS Pune411033 India School of Computer Science and Engineering Vellore Institute of Technology Tamil Nadu Vellore632014 India Department of Computer Science and Engineering PSN College of Engineering and Technology Tamil Nadu Tirunelveli627451 India

ISBN: (纸本)9789819783540

The rapid surge of the electronic commerce (Ecomm) industry has ushered in intensified competition, with platforms vying for customer attention and loyalty. Many Ecomm sites have been employing various tactics to stand out, with Recommendation systems (RS at the forefront of their strategies. However, traditional RS faces challenges, mainly when interactions occur at irregular intervals. This article introduces the DTW + LSTM framework, a methodology combining the merits of Long Short-Term Memory Networks and Dynamic Time Warping to improve this work. This method requires consideration of DTW's time series data alignment capabilities to account for interaction interval variability. The LSTM is then designed to accurately record the key elements of user interactions in sequential order. Combining the outcomes of these two methodologies in the DTW + LSTM model presents a more flexible and extensive approach to generating online shopping recommendations. The design guarantees that forecasts continue to be reliable and accurate despite the inherent temporal deviations that can be observed in user data. This paper investigates the context of this approach, its benefits, and prospective developments, demonstrating its possibilities in the dynamic Ecomm market. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Accuracy CNN E-commerce F1-score GRU LSTM Machine learning

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Durable Ag-Coated Micro-Crack Velcro Electrode for Hi-Fi Bioelectric Signals in Hairy Areas 38

Durable Ag-Coated Micro-Crack Velcro Electrode for Hi-Fi Bio...

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38th IEEE international conference on Micro Electro Mechanical systems, MEMS 2025

作者： Guo, Jun Fu, Kang Zhang, Zimo Bai, Ruiyu Wang, Xuanqi Xue, Kai Chen, Huazhen Li, Le Hu, Huijing Wang, Minghao Chang, Honglong Ji, Bowen Northwestern Polytechnical University Unmanned System Research Institute China Northwestern Polytechnical University National Key Laboratory of Unmanned Aerial Vehicle Technology Integrated Research and Development Platform of Unmanned Aerial Vehicle Technology China Northwestern Polytechnical University Ministry of Education Key Laboratory of Micro/Nano Systems for Aerospace School of Mechanical Engineering China Northwestern Polytechnical University Institute of Medical Research China Hangzhou Dianzi University Moe Engineering Research Center of Smart Microsensors and Microsystems College of Electronics and Information China

ISBN: (纸本)9798331508890

This paper reports a conductive Velcro electrode with micro-cracks for the first time. The laser-induced micro-cracks increase the surface area of Velcro hooks and facilitate the adhesion of more silver particles. A cluster of Nylon-Ag hook are durable with repeated mechanical compression and multiple washing. After 100 times of compression, the plastic deformation is less than 23 μm ( © 2025 IEEE.

关键词： Hooks

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Efficient Electricity Theft Management: A smart Energy Meter Approach for Real-Time Detection and Prevention

Efficient Electricity Theft Management: A Smart Energy Meter...

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international conference on Computational Intelligence and smart Technologies in Electrical engineering, CISTEE 2023

作者： Kumar, Kunal Kumar, Prince Kar, Susmita Bohre, Aashish Kumar Department of Electrical Engineering NIT Rourkela Odisha Rourkela India Department of Electrical Engineering NIT Silchar Assam Silchar India Department of Electrical Engineering NIT Durgapur West Bengal Durgapur India

ISBN: (纸本)9789819604753

Electricity theft remains a persistent challenge in many regions, causing significant financial losses for utility companies and undermining the integrity of energy distribution systems. This paper presents a comprehensive study on the simulation and development of a GSM-based smart energy meter equipped with Arduino as the central processing unit and GSM modules for data communication, aimed at detecting, and preventing electric theft in real-time. Innovative algorithms and data analysis techniques are employed to recognize anomalies in energy consumption, voltage fluctuations, and other indicators indicative of theft. Simulations and real-world testing are conducted to assess the system's effectiveness in detecting and preventing theft instances. Moreover, the suggested detection technique is replicated in Proteus to assess its performance under typical conditions and diverse theft scenarios. Ultimately, the system's capabilities are evaluated by applying various theft techniques, and the figures within the research paper illustrate the warning messages corresponding to each specific theft scenario. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Information management

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IoT Enabled smart Street Light and Air Quality Control 5th

IoT Enabled Smart Street Light and Air Quality Control

引用

5th international conference on Data Science, Machine Learning and Applications

作者： Thomas, Aby K. Shekhar, Himanshu Bhagyalakshmi, L. Suman, Sanjay Kumar Sreelakshmy, R. Bhasha, Amudala Alliance Univ Dept ECE Alliance Coll Engn & Design Bengaluru Karnataka India Hindustan Inst Technol & Sci Dept ECE Chennai Tamil Nadu India Rajalakshmi Engn Coll Dept ECE Chennai Tamil Nadu India St Martins Engn Coll Dept ECE & Dean R&D Secunderabad Telangana India Sagunthala R&D Inst Sci & Technol Dept ECE Chennai Tamil Nadu India St Martins Engn Coll Dept IT Secunderabad Telangana India

ISBN: (纸本)9789819780334;9789819780310;9789819780303

The research is based on the concept of smart city comprises the energy efficient operation of street lights measuring the air pollutants and control the pollutants to improve the air quality index. It is primarily built on the concept of piezoelectric effect and photo voltaic cells. It uses IoT to build a method for smart avenue lights systems alongside real-time online tracking of air pollutants. Free electrical energy science from photo voltaic cells and piezoelectric effect became the basis of the independent framework for the proposed device. It well manoeuvres the street bulbs in particular based absolutely on the movement of vehicles and daylight through the infrared (IR) and light detection resistor (LDR) sensors. Moreover, a web based monitoring arrangement is used for identifying faulty street bulbs with the assistance current flow. Based on the wide variety of automobiles surpassed at some stage in the dark, street bulbs dare operated at 2 specific potency i.e., from 50% to 100% with the intensity of 50% with inside missing of automobiles whilst working at 100% when vehicle's approach. This dimming operation now no longer best complements the lifestyles span of street-lights however additionally permits substantial conservation of electricity by as much as 80%. Besides, actual online air pollution tracking allows the government to take appropriate steps whenever air quality index reaches an undesired level and requires immediate purification system to control and improve the air quality.

关键词： smart Streetlamps Air Quality Measurement and Control Piezoelectricity Solar cells IoT

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Scalable Real-Time Anomaly Detection in Financial Markets Using a Novel Machine Learning Model 3rd

Scalable Real-Time Anomaly Detection in Financial Markets Us...

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3rd international conference on Intelligent systems and Sustainable computing, ICISSC 2023

作者： Andi, Hari Krishnan Bommisetti, Ravi Kumar Subbarao, Buggavarapu V. S. S. Sonthi, Vijaya Krishna Ray, Samrat Ammasai, Viswanathan Sengan, Sudhakar Centre for Postgraduate Studies Asia Metropolitan University Johor Bahru81750 Malaysia Department of Business Administration and Dean-Research and Development Maris Stella College Vijayawada520008 India Department of MBA Kumaraguru College of Technology Tamil Nadu Coimbatore641049 India Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Andhra Pradesh Vaddeswaram522502 India Dean Head of International Relations IIMS Pune411033 India School of Computer Science and Engineering Vellore Institute of Technology Tamil Nadu Vellore632014 India Department of Computer Science and Engineering PSN College of Engineering and Technology Tamil Nadu Tirunelveli627451 India

ISBN: (纸本)9789819783540

Stakeholder objectives can be put at risk if anomalies are not detected sufficiently promptly in the constantly evolving financial systems. This paper recommends an innovative Machine Learning (ML) method, the Hybrid Temporal-Feature Embedding Model (HTEM), dedicated to real-time Anomaly Detection (AD). Fundamental to this framework is the use of a distributed system to store and process real-time data that has been collected through a strong Data Ingestion Layer. The HTEM framework is a vital component of this layout. The temporal flow of data collected from LSTM networks is precisely combined with the significance of individual features that are analyzed by autoencoders in this technique. By applying this dual embedding, a complete model of financial data sequences is accomplished. By applying a fully connected layer to provide this combined representation, the research affects an accurate anomaly value for each data point. If the overall rating is higher than a particular threshold, the data point is classified as an anomaly. Training this model frequently on known anomalies enables it to be fine-tuned to a higher level. The timely, accurate, and efficient finding of anomalies can be ensured through the incorporation of the HTEM within the model being proposed, protecting the interests of stakeholders in the financial market environment. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Adversarial machine learning

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Low-Cost Indoor smart-Aquaculture System for Endangered Species and Some Common Thai Freshwater Fish 16th

Low-Cost Indoor Smart-Aquaculture System for Endangered Spec...

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16th international conference on Genetic and Evolutionary computing, ICGEC 2024

作者： Tanmark, Nopparat Nuntapong, Nutt Suanyuk, Naraid Issaro, Akkarawit Tantikitti, Chutima Research and Development Unit for Khela Mahseer Aquaculture Kidchakan Supamattaya Aquatic Animal Health Research Center Aquatic Science and Innovative Management Division Faculty of Natural Resources Prince of Songkla University Songkhla90110 Thailand

ISBN: (纸本)9789819615308

In this study, indoor smart-recirculating aquaculture system was constructed. We integrated four low cost equipment i.e., fish tanks, WiFi-auto feeders, WiFi-auto drainage set and small scale activated sludge-biofilter system together withWiFi-water quality monitoring tools and IP camera. To operate the constructed system, internet servers and tools were used to integrate the data. This IoT system was used for indoor aquaculture of endangered species, khela mahseer (Tor douronensis) and common Thai freshwater fish species for example, Nile tilapia (Oreochromis niloticus) and mad carp (Leptobarbus hoevenii) during 2020–2023. The results showed that all cultured species in this system had a good growth. The benefits of this smart indoor aquaculture system are reduction in working hours, low cost and easy maintenance. Therefore, this integrated IoT low-cost aquaculture system is suitable for intensive indoor aquaculture. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Fish

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Integrated Sensing and Communication Empowered Secure Computation Offloading in Integrated Satellite-Terrestrial Networks 14th

Integrated Sensing and Communication Empowered Secure Compu...

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14th EAI international conference on Wireless and Satellite systems, WiSATS 2024

作者： Dou, Chenglong Huang, Xumin Kang, Jiawen Wu, Yuan Qian, Liping State Key Laboratory of Internet of Things for Smart City University of Macau Macau China School of Automation Guangdong University of Technology Guangzhou510006 China Zhuhai UM Science and Technology Research Institute Zhuhai519301 China College of Information Engineering Zhejiang University of Technology Hangzhou310023 China

ISBN: (纸本)9783031861956

Integrated satellite-terrestrial edge computing networks have emerged as a promising solution to enhance data processing capabilities and connectivity in remote and underserved areas. However, the physical layer security of computation offloading in such networks is increasingly challenged by potential eavesdroppers. In this paper, we propose an integrated sensing and communication (ISAC) empowered secure computation offloading in integrated satellite-terrestrial networks, in which the satellite can utilize the ISAC signal to sense the malicious eavesdropper with an uncertain location while offloading data with improved secrecy rates. To investigate this problem, we formulate a joint optimization of the transmit beamforming, the receive beamforming, the computation offloading strategies and the associated allocations of the communication and computing resources, with the objective of maximizing the minimum sensing performance for all possible eavesdropper locations, while guaranteeing the secrecy offloading transmission rate. Despite the nonconvexity of the formulated problem, we propose an efficient algorithm to obtain its solutions. Numerical results validate the performance advantages of our ISAC empowered secure computation offloading in secrecy and robustness. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering 2025.

关键词： Beamforming

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