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检索条件"任意字段=8th IEEE International Conference on Software Engineering and Computer Systems, ICSECS 2023"

共 1532 条记录，以下是171-180 订阅

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A Chatbot System for Education NLP Using Deep Learning 8

A Chatbot System for Education NLP Using Deep Learning

引用

8th ieee international conference on Science, Technology, engineering and Mathematics, ICONSTEM 2023

作者： Kavitha, C. Pavun Kavitha, K. Ifet College of Engineering Department of Information Technology Villupuram India

ISBN: (纸本)9798350347791

One of the key study topics in human-computer interaction is the design of intuitive and natural interaction modalities. Much effort has been put into developing systems that can interact with people in their native tongue. Chat-boats are the conventional means of communicating with computers in natural language. A chatbot is a computer software that tries to mimic the conversational style of a real person by simulating an intelligent discussion having one or many people in natural language that are humans. Most chatbots use straightforward text interfaces to converse with their human partners, while some also include speech recognition and text-to-speech capabilities. Due to the commercial relevance of chatbots and their entertainment value, research on them has attracted much *** proposed work envisions the creation of a chatbot framework that attempts to improve the interest skills of chatbots by intelligently recognising and gathering lacking data from the users that are required for the answer generation. this study primarily examines chatbots that can serve the demands of small to medium-sized organisations. It is envisaged that such systems will be sufficiently interactive, easy maintenance, and inexpensive. Using a mixed knowledge base, this chatbot system combines an external knowledge base into an integrated big data framework, a modified AIML system, and an RDBMS. Researchers have also looked at the feasibility of a chatbot tailored to a certain region. © 2023 ieee.

关键词： Python

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Report of the 7th international Workshop on Aspect-Oriented Modeling

引用

international MoDELS 2005

作者： Kienzle, J Gray, J Stein, D McGill Univ Sch Comp Sci Montreal PQ Canada Univ Alabama Dept Comp & Informat Sci Birmingham AL 35294 USA Univ Duisburg Essen Inst Comp Sci & Business Informat Syst Essen Germany

ISBN: (纸本)3540317805

this report summarizes the outcome of the 7th Workshop on Aspect-Oriented Modeling (AOM) held in conjunction with the 8th international conference on Model Driven engineering Languages and systems - MODELS 2005 - in Montego Bay, Jamaica, on the 2nd of October 2005. the workshop brought together researchers and practitioners from two communities: aspect-oriented software development (AOSD) and software model engineering. It provided a forum for discussing the state of the art in modeling crosscutting concerns at different stages of the software development process: requirements elicitation and analysis, software architecture, detailed design, and mapping to aspect-oriented programming constructs. this paper gives an overview of the accepted submissions, and summarizes the results of the different discussion groups.

关键词： Object oriented programming

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Voice recognition bot for internet banking 8

Voice recognition bot for internet banking

引用

8th international conference on Smart Structures and systems, ICSSS 2022

作者： Gomathy, B. Krishna Kumar, S. Mukilan, R. Naveen Balaji, R. Kpr Institute of Engineering and Technology Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9781665497619

Chat bots are systems or software that behave like a help desk in order to face problems and deal with such a problems that people find themselves in. this bot helps the users to stay at one place and gives the solution for any of the queries that has raised by users. However, this bank chat bot will assist the user rather than a person in resolving his or her problem, allowing us to benefit while remaining at home. People who are unable to leave due to the COVID-19 can use this initiative to resolve issues with their banks. this chat bot system can help the users in knowing about the bank queries. So it will be a solution and useful system in our day to day life. © 2022 ieee.

关键词： COVID-19 Bot (Internet) Online banking Face recognition Speech recognition software Intelligent structures

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Evaluating the Suitability and Performance Metrics of Free Space Optics for Smart City Applications 8

Evaluating the Suitability and Performance Metrics of Free S...

引用

8th international conference on computers and Devices for Communication, CODEC 2023

作者： Das, Sudipta Gupta, Shubham Kumar Sahu, Prasant Kumar Jalpai Guri Engineering College India Raja Bazar Science College Kolkata India IIT Bhubaneswar India

ISBN: (纸本)9798350317176

Free Space Optics (FSO) has gained importance as a promising solution because of its capacity for high data rates, security features, and resistance to electromagnetic interference. In this study, we have assessed the appropriateness and conducted an analysis of the performance parameters of a Free Space Optics (FSO) system. In this paper, simulation design and performance analysis of the WDM FSO System is carried out using Optisystem 20.0 software. © 2023 ieee.

关键词： computer software

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A Vision-Based Low-Cost Power Wheelchair Assistive Driving System for Smartphones 24

A Vision-Based Low-Cost Power Wheelchair Assistive Driving S...

引用

24th ieee international conference on High Performance Computing and Communications, 8th ieee international conference on Data Science and systems, 20th ieee international conference on Smart City and 8th ieee international conference on Dependability in Sensor, Cloud and Big Data systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Wang, Zhiwei Liu, Kevin Wang, Jeffrey Xu, Jingye Chen, Jingjing Jin, Yufang Slavin, Rocky The University of Texas Department of Electrical and Computer Engineering San Antonio United States The Research Computing Support Group of the University Technology Solutions The University of Texas San Antonio United States University of Western Ontario Department of Computer Science Canada Keystone School San Antonio United States The University of Texas Department of Computer Science San Antonio United States

ISBN: (纸本)9798350319934

Power wheelchairs (PWC) are essential for people with mobility impairment, and many research studies have been reported to ease their operations. However, the existing approaches either rely on extra hardware components or demand complex software that incurs high costs. In this work, we propose a low-cost, computer-vision-based assistive driving system that runs on a smartphone with the objective of safely driving a PWC in a hands-free manner with reduced attention in an indoor environment to relieve the arduous operations of disabled users and reduce their stress. the system adopts a modified and pre-trained ResNet-50 model running on a smartphone to derive the driving instructions using the images captured in real-time with its built-in camera. the smartphone interacts with a control interface to send the driving instructions to the PWC. A prototype of the proposed driving assistive system is implemented on a Pixel-6 Android phone and evaluated on a mobile robot as the proof-of-concept design. the experiments show that the smartphone can process input at up to 3.4 images per second to generate driving instructions in time to safely navigate the mobile robot at reasonable speeds in the testing environment with minimal intervention from the user. © 2022 ieee.

关键词： Smartphones

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Blockchain-Based software Subscription and Licenses Management System 8

Blockchain-Based Software Subscription and Licenses Manageme...

引用

8th international conference on Information Technology Research, ICITR 2023

作者： Alwis, Hithru De Wijayasiri, Adeesha Silva, Shamila De Silva, Kasun De Faculty of Engineering University of Moratuwa Department of Computer Science and Engineering Sri Lanka

ISBN: (纸本)9798350359503

Current software licensing models exhibit shortcomings in transparency, security, and adaptability. Addressing these challenges, this study presents a novel blockchain-based licensing system using the Ethereum platform. By employing smart contracts and the ERC721 and ERC20 token standards, the system ensures automated, transparent, and secure license agreement enforcement and facilitates license token operations. Influenced by the rise of subscription licenses and the implications of the UsedSoft court decision, the research designs a blockchain-driven subscription license model, analyses the UsedSoft case's impact on license transfers, and formulates specialized smart contracts for varied licensing models. the approach signifies a marked advancement in contemporary software licensing practices. © 2023 ieee.

关键词： Smart contract

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Copy-Move Forgery Detection in Homologous Video Sequences Based on Deviation Matrix 8

Copy-Move Forgery Detection in Homologous Video Sequences Ba...

引用

8th international conference on Information systems engineering, ICISE 2023

作者： Chen, Zhiwen Cheng, Bin Hao, Qiong Wuhan Railway Vocational College of Technology Computer Science Wuhan430205 China

ISBN: (纸本)9798350307009

With the popularity of digital multimedia equipment and the widespread use of graphics video editing and processing software, digital video tampering becomes easier, and the reliability of multimedia data is questioned. therefore, detecting whether digital video is tampered is very important for information security. Aiming at the copy-move tampering of homologous video sequences, this paper proposes a method to detect copy-move tampering of video sequences by measuring the correlation between image contents. Firstly, the video frame content is transformed into a series of continuous image frames, the image is divided into blocks, and the eight feature vectors of each frame are extracted. then the correlation between frames is calculated by using the Euclidean distance, and the dynamic deviation threshold is constructed by adding the deviation matrix to detect the copy-move tampering sequence. the experimental results show that the proposed method can achieve ideal results for copy-move forgery detection of homologous video sequences. © 2023 ieee.

关键词： Security of data

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Energy Performance Indicator (EnPI) Prediction of a Compressed Air System in a Can Manufacturing Factory 8

Energy Performance Indicator (EnPI) Prediction of a Compress...

引用

8th ieee international conference on Recent Advances and Innovations in engineering, ICRAIE 2023

作者： Kadir, Muhammad Hafizee Abdul Zakaria, Muhammad Aizat Fahmi, Muhamad Aqil Muqri Muhamad Midi, Nur Shahida Yusoff, Siti Hajar Hanifah, Mohd Shahrin Abu International Islamic University Malaysia Department of Electrical and Computer Engineering Kuala Lumpur Malaysia Berhad Process Development Engineering Department Selangor Malaysia

ISBN: (纸本)9798350315516

Greenhouse gas emissions and energy usage are increasing rapidly, posing a significant threat to the environment and the sustainability of the Earth. One of the ways to mitigate this issue is through the implementation of Energy Management systems (EnMS) in industries, where overall efficiency improvement and energy expenditures cutback are targeted. this work aims to address the energy consumption in a can manufacturing factory. Here, machine learning approach is used to optimize the energy performance of the compressed air system (CAS) which is the major contributor to the factory's energy usage at 38%. In this work, the Energy Performance Indicators (EnPI) of the CAS is predicted using KNN by employing the variables from CAS itself. the collected variables are first analyzed using Dataiku software and correlation matrix and heatmap technique, giving two sets of key features. the predicted EnPI showed high accuracy when compared to the actual values. © 2023 ieee.

关键词： Energy management systems

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Holistic Scheduling Algorithm for Tasks and Messages of Automotive Embedded System 24

Holistic Scheduling Algorithm for Tasks and Messages of Auto...

引用

作者： Xing, Hongxing Wei, Yehua Cheng, Can Zhang, Lianming College of Information Science and Engineering Hunan Normal University Changsha China

ISBN: (纸本)9798350319934

More and more electronic devices and functions are integrated into automotive embedded systems, automobile has evolved from mechanical intensive to software intensive automotive cyber-physical system, the demand for the communication bandwidth and robustness of in-vehicle network are also increasing, time-triggered protocols, such as FlexRay, have been widely applied for safety-critical function. the holistic scheduling of tasks and messages has become a key issue in ensuring functional safety. To improve the scheduling success rate, a maximum tolerance backward scheduling algorithm is proposed that combines list scheduling and a backward strategy. First, a task scheduling algorithm based on critical path priority and a function priority calculation method are designed. then, a maximum tolerance backward scheduling and resource allocation conflict avoidance algorithm is proposed to ensure the integrity and timing constraints of the functions, and the deployed function instances are moved backward to obtain the release of resources and improve the success rate of the function set. Simulation experiments show that the effectiveness of the proposed algorithm in improving the scheduling success rate. © 2022 ieee.

关键词： Embedded systems

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A short text clustering study integrating context-awareness and contrast learning 8

A short text clustering study integrating context-awareness ...

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8th international conference on Information systems engineering, ICISE 2023

作者： Zhang, Qiaonan Liu, Yuan Jiangnan University School of Artificial Intelligence and Computer Science Wuxi214000 China Jiangnan University Jiangsu Province Key Laboratory of Media Design and Software Technology Wuxi214000 China

ISBN: (纸本)9798350307009

Traditional text representation techniques will produce high-dimensional and sparse vectors for short texts since they have fewer words, which increases the likelihood of noise interference and lowers the accuracy of short text clustering. An alternative model, CASA-Bert-K, is investigated to overcome the aforementioned issues. First, In order to add contextual features into the text representation, context-awareness self-attention networks are combined with Bert. Secondly, To de-optimize the representation of short texts, a simple and effective data augmentation approach to contrast learning is introduced. the text representation module and the clustering module are jointly trained to optimize both text representation and clustering in order to further improve the clustering accuracy. the experimental findings show the researched model's effectiveness in raising the accuracy rate through the use of three datasets in the tests. © 2023 ieee.

关键词： Cluster analysis

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