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检索条件"任意字段=7th International Conference on the Art, Science, and Engineering of Programming, Programming 2023"

共 1136 条记录，以下是411-420 订阅

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10 GB MAC Core Verification Monitor Module

10 GB MAC Core Verification Monitor Module

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international conference on ent Computing and Control Systems (ICICCS)

作者： J. Deny M Dinesh Ram. C Satheesh. B Suryakumar Omkar Rushikesh Mekala Department of Electronics and Communication Engineering Kalasalingam Academy of Research and Education Krishnankoil Virudhunagar India

the research study intends to develop an Object-Oriented programming (OOP)-based UVM testbench monitor module. According to the OOP model, the testbench is made up of various objects, each of which is intended to perform a specific job of the verification flow. A 10GE MAC Core architecture is being verified. Even though the design comes with a crude test case that provides for some simple logic checks, scaling and/or maintaining such a testbench would be very challenging. this paper aims to provide a clean verification environment output monitor module that is easy to understand, control, and grow due to the tight separation between the RTL domain & the verification domain. this method has demonstrated to be very beneficial when working with the verification of sophisticated digital systems, like those present in today’s applications.

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Comprehensive Approaches to Securing Multi-Cloud Architectures: Best Practices and Emerging Solutions

Comprehensive Approaches to Securing Multi-Cloud Architectur...

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international conference on Contemporary Computing and Informatics (IC3I)

作者： Raveena R Nair D. Sreevidya Chinnem Rama Mohan Joydeep Banerjee Kuldeep Chouhan Dharamvir Saveetha School of Law Saveetha Institute of Medical and Technical Sciences (SIMATS) Chennai India Department of CSE (CyS DS) and AI & DS VNRVJIET Nizampet Hyderabad India Department of Computer Science and Engineering Narayana Engineering College Nellore Andhra Pradesh India NSHM Knowledge Campus Durgapur Kolkata West Bengal India Department of Computer Science Applications Sharda School of Engineering and Technology Greater Noida Uttar Pradesh India Department of MCA The Oxford College of Engineering Bommanahalli Bengaluru Karnataka India

ISBN: (数字)9798350350067

ISBN: (纸本)9798350350074

With an emphasis on multi-cloud networks, this research paper offers a synopsis of cloud computing techniques. It covers the fundamentals of cloud programming, the difficulties that cloud computing faces, and the ways that multi-cloud systems, such as cloud hybridization, federation clouds, cross-clouds, and multi-clouds, might help solve these problems. the opportunity of multi-cloud structures in combination with modern technologies such as Big Data and also Machine Learning (ML) is explored as well in the study, leading to some fascinating breakthroughs. To assist researchers, grasp the difficulties and generate enthusiasm within the community for the upcoming pairing of multi-cloud services with additional cutting-edge technologies, the aim is to present a contemporary perspective on multi-cloud technology and solve outstanding concerns.

关键词： Cloud computing Machine learning Computer architecture Companies programming Maintenance engineering Big Data Safety Informatics Faces

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A Decision Support System for Multi-Trip Vehicle Routing Problems 25

A Decision Support System for Multi-Trip Vehicle Routing Pro...

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25th international conference on Enterprise Information Systems, ICEIS 2023

作者： Cavecchia, Mirko de Queiroz, thiago Alves Iori, Manuel Lancellotti, Riccardo Zucchi, Giorgio Department of Sciences and Methods for Engineering University of Modena and Reggio Emilia Reggio Emilia42122 Italy Institute of Mathematics and Technology Federal University of Catalão GO Catalão75704-020 Brazil Department of Engineering "Enzo Ferrari" University of Modena and Reggio Emilia Modena41125 Italy School of Doctorate E4E University of Modena and Reggio Emilia Modena41121 Italy R&D Department Coopservice S.coop.p.a Reggio Emilia42122 Italy

ISBN: (纸本)9789897586484

Emerging trends, driven by industry 4.0 and Big Data, are pushing to combine optimization techniques with Decision Support Systems (DSS). the use of DSS can reduce the risk of uncertainty of the decision-maker regarding the economic feasibility of a project and the technical design. Designing a DSS can be very hard, due to the inherent complexity of these types of systems. therefore, monolithic software architectures are not a viable solution. this paper describes the DSS developed for an Italian company based on a micro-services architecture. In particular, the services handle geo-referenced information to solve a multi-trip vehicle routing problem with time windows. To face the problem, we follow a two-step approach. First, we generate a set of routes solving a vehicle routing problem with time windows using a metaheuristic algorithm. Second, we calculate the interval in which each route can start and end, and then combine the routes together, with an integer linear programming model, to minimize the number of used vehicles. Computational tests are conducted on real and random instances and prove the efficiency of the approach. Copyright © 2023 by SCITEPRESS - science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)

关键词： Decision support systems

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Fundamental Graphical User Interface Design of an Educational Android Application 7th

Fundamental Graphical User Interface Design of an Educationa...

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7th international conference on Microelectronics, Electromagnetics and Telecommunication, ICMEET 2022

作者： Vandana Nagwanshi, Kapil Kumar Kumar, Anil Paliwal, Manish ASET Amity University Rajasthan Jaipur India CSE SoS E&T Guru Ghasidas Vishwavidyalaya CG Bilaspur India Faculty of Engineering and Technology Wachemo University Hossana Ethiopia Pandit Deendayal Energy Univeristy Raysan Gujarat Gandhinagar India

ISBN: (纸本)9789811988646

A graphical user interface (GUI) design of an application presents a user-friendly, elegant, concise, and attractive mechanism for interacting with visual components. Android is a powerful Linux-based mobile operating system, and these days android devices are becoming the most sought-after and widely used devices than other types of mobile devices in the mobile application market. Nowadays, android applications (herein as ‘android apps’) have also become popular in the educational sector because of their compatible, efficient, and effective interface to access the content. In android apps, graphical designs are built from GUI components which is an object with which mobile user interacts via various forms of input. this paper presents the basic structured GUI design of an educational android application. these days, the GUI design of any android is an increasingly important factor in deciding whether your app will be accepted by mobile users to achieve success in the market and it also builds a connection between users and applications. In addition, users have more expectations and demands for good quality GUI design. GUI design contains three phases: informational architecture, interaction, and visual design. the aim of this paper helps to explain how to create a basic GUI design of an educational android application by using an integrated development environment (Android Studio) and programming languages such as Extensible Markup Language (XML) with different graphical components such as visual layouts and widgets. To assess user experience, this study has carried the survey using a questionnaire set. the main motive (purpose) of the survey was to assess (evaluate) the effectiveness and the user experience of the interface design. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Visual languages

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ABODE-Net: An Attention-based Deep Learning Model for Non-intrusive Building Occupancy Detection Using Smart Meter Data 1

引用

7th international conference on Smart Computing and Communication, SmartCom 2022

作者： Luo, Zhirui Qi, Ruobin Li, Qingqing Zheng, Jun Shao, Sihua Department of Computer Science and Engineering New Mexico Institute of Mining and Technology SocorroNM87801 United States Department of Electrical Engineering New Mexico Institute of Mining and Technology SocorroNM87801 United States

ISBN: (数字)9783031281242

ISBN: (纸本)9783031281235

Occupancy information is useful for efficient energy management in the building sector. the massive high-resolution electrical power consumption data collected by smart meters in the advanced metering infrastructure (AMI) network make it possible to infer buildings’ occupancy status in a non-intrusive way. In this paper, we propose a deep leaning model called ABODE-Net which employs a novel Parallel Attention (PA) block for building occupancy detection using smart meter data. the PA block combines the temporal, variable, and channel attention modules in a parallel way to signify important features for occupancy detection. We adopt two smart meter datasets widely used for building occupancy detection in our performance evaluation. A set of state-of-the-art shallow machine learning and deep learning models are included for performance comparison. the results show that ABODE-Net significantly outperforms other models in all experimental cases, which proves its validity as a solution for non-intrusive building occupancy detection. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Smart meters

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Energy management optimization control with the consideration of the driving style for connected hybrid electric vehicles in mixed driving scenarios

Energy management optimization control with the consideratio...

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conference on Vehicle Control and Intelligence (CVCI)

作者： Wenbin Tang Jingjing He Zhong Wang Xiaohong Jiao School of Electrical Engineering Yanshan University Qinhuangdao China School of Vehicle and Energy Yanshan University Qinhuangdao China

Considering the complexity and variability of the actual traffic environment, aiming at the influence of driving styles on the optimal control of hybrid electric vehicles (HEVs) energy management, this paper proposes a speed planning and energy management strategy (EMS) considering driving style recognition in mixed driving scenarios under the framework of model predictive control (MPC). the proposed strategy uses principal component analysis (PCA) to reduce the dimension of the characteristic parameters and fuzzy C-means (FCM) methods to cluster driving styles. Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) are used to obtain information on the preceding vehicle and traffic lights to classify the hybrid driving scenario. In the different scenarios, the objective function considering traffic safety is constructed to plan the host vehicle’s speed based on the speed prediction of the preceding vehicle. A sequential quadratic programming optimization algorithm (SQP) distributes engine and motor power. Simulation results show that the proposed EMS can achieve good fuel economy under the premise of driving safety.

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Optimization Principle of Freight Train Operation Plan for Shenhua Railway 5th

Optimization Principle of Freight Train Operation Plan for S...

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5th international conference on Smart Vehicular Technology, Transportation, Communication and Applications, VTCA 2022

作者： Wang, Meng Liu, Qiuqi He, Wenhui Guo, Xiuyun Southwest Jiaotong University Chengdu610031 China China National Energy Group Railway Equipment Company Beijing100000 China School of Transportation and Logistics Southwest Jiaotong University Chengdu610031 China National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation Southwest JiaoTong University Chengdu610031 China National Engineering Laboratory of Integrated Transportation Big Data Application Technology Beijing China

ISBN: (纸本)9789819908479

At present, the freight train formation plan cannot dynamically reflect the changes in freight demand in the transportation market, which makes it difficult to guide the actual transportation production work and affects the economic benefits of enterprises. this paper takes Shenhua Heavy Duty Railway as the research object, studies the optimization technology of cargo train programming under dynamic planning type transportation organization mode, and proposes the optimization principle of dynamic cargo train programming of Shenhua Railway. By analyzing the characteristics of the cargo transportation organization of Shenhua Railway, the dynamic planning type transportation organization mode of Shenhua Railway is proposed. On the basis of the concept of the dynamic freight train operation scheme of Shenhua Railway, the feasibility of preparation optimization, influencing factors, and main principles, the idea of dynamic preparation optimization research from the perspective of synergistic consideration of heavy train operation scheme and empty train deployment scheme is also elaborated. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Railroads

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the development of virtual healing environment in VR platform 7

The development of virtual healing environment in VR platfor...

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7th international conference on Computer science and Computational Intelligence, CSCI 2022

作者： Juliantino, Chris Nathania, Mega Putri Hendarti, Religiana Darmadi, Herru Suryawinata, Bonny A Architecture Department Faculty of Engineering Bina Nusantara University Jakarta11480 Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia

the purpose of this research is to build a healing environment that can be experienced through virtual reality (VR) to reduce stress levels of the user because of the lengthy period of COVID-19 pandemic that forced people to stay at home. the healing environment is created based on several theories on the principles of Healing Environments related to Architectural design. And as for the development of the simulation software, it is using the method of Extreme programming that is based on Agile principle that combined with Architectural design flow. the VR is targeted to run optimally in low-end devices with cardboard and common Bluetooth controller so that it can be accessed inclusively. the evaluation is conducted using a user acceptance test with expert judgment and survey to 32 respondents. the findings are that they enjoyed the simulation because of the guidance is clear and the virtual environment looks more real compared to others that looks cartoonish. © 2022 Elsevier B.V.. All rights reserved.

关键词： Virtual reality

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Review of Reinforcement Learning in Chrome Dino Game

Review of Reinforcement Learning in Chrome Dino Game

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international conference on Computing Communication Control and Automation (ICCUBEA)

作者： Advait Kulkarni Pranav Bapat Tanvi Kulkarni Rajendra Pawar School of Computer Engineering & Technology MIT World Peace University Pune Maharashtra Department of Computer Science Engineering MIT School of Computing MIT Art Design & Technology University Pune India

the intention of this study is to study some implementation of reinforcement learning in the environment of Google Chrome's Dino Game. Different environments were tested on Deep Q network and proximal policy optimization models. Images were provided as inputs in all trials and the highest scores were recorded and analysed to check which algorithm and environment performed better. Further work aims at including more environments and algorithms and performing training on High performance Computers.

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JuLeDI: Jute Leaf Disease Identification Using Convolutional Neural Network 7th

JuLeDI: Jute Leaf Disease Identification Using Convolutional...

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7th international conference on Inventive Communication and Computaional Technologies, ICICCT 2023

作者： Uddin, Mohammad Salah Munsi, Md Yeasin Computer Science and Engineering Department East West University Dhaka Bangladesh

ISBN: (纸本)9789819951659

Identifying plant diseases is typically difficult without the assistance of professionals. the disease disrupts the natural growth of the plant. Sometimes, the disease partially infects the plant;sometimes, it infects the whole plant. Several researchers around the world have proposed neural network-based solutions for classifying plant diseases. this research paper presents a method for identifying jute leaf disease (JuLeDI) by utilizing a four-layer-based convolutional neural network (CNN). the CNN model consists of four convolutional layers and four max-pooling layers, followed by two fully connected layers. the CNN-based model was trained using a dataset of 4740 jute leaf images collected from various jute fields in Manikganj, Bangladesh. the dataset included 1600 leaf images of yellow mosaic disease, 1540 leaf images of powdery mildew disease, and 1600 images of healthy jute leaves. the images were captured using a mobile camera. Our proposed convolutional neural network (CNN) model was able to achieve an average accuracy of 96% in classifying jute leaves into three classes: two disease classes (yellow mosaic and powdery mildew) and a healthy class. Compared to state-of-the-art methods such as GPDCNN and SVM, the proposed CNN model achieves the highest accuracy in identifying jute leaf diseases. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Convolution

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