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

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A Proposed Architecture of Mobile Service Provider Based Interactive systems 8

A Proposed Architecture of Mobile Service Provider Based Int...

引用

8th ieee international conference for Convergence in Technology, I2CT 2023

作者： Magoo, Chandni Singh, Manjeet J.C. Bose University of Science and Technology Department of Computer Science and Engineering Faridabad India Manav Rachna University Department of Computer Science and Technology Faridabad India Department of Computer Science and Applications J.C. Bose University of Science and Technology India

ISBN: (纸本)9798350334012

Chatbots are basically designed to imitate any human interaction to automate interaction and support. Numerous benefits of chatbots has led to its increased usage by different organizations to provide essential assistance to its various customers. the current interactive systems are mainly developed from two main concepts namely NLP and Machine Learning. Despite of this, there are certain challenges and limitations of current chatbots. In this paper we will review some of the current chatbots with their limitations and highlight some of the errors identified through survey analysis of different chatbots of some companies like Airtel, Vodafone and Jio etc. A survey is done to analyze the chatbots on various metrics. © 2023 ieee.

关键词： Machine learning

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Version Controlling of User Content in Learning Management systems for Supporting the Teaching/Learning Process 8

Version Controlling of User Content in Learning Management S...

引用

8th international conference on Information Technology Research, ICITR 2023

作者： Firdhous, Mohamed Fazil Mohamed Elbreiki, Walid Wijesiriwardana, Chaman University of Moratuwa Dept. of Information Technology Moratuwa Sri Lanka College of Computer Technology Dept. of Computer Science Benghazi Libya

ISBN: (纸本)9798350359503

E-Learning or online learning has become an integral part of the educational system all over the world in recent times. the importance of online learning is really felt by almost everybody in the recent COVID19 pandemic as no physical activity could be conducted that required people to meet or gather at a specific place. Learning or Content Management systems play an important role in any online learning system as most of the teaching and learning activities occur in a disconnected or asynchronous form. One of the main features of any learning management systems is collection and distribution of learning/teaching materials as well as other documents. In this paper, the authors present the results of an in depth study carried out on the need for version controlling of user uploaded documents to the learning management systems. Also, presented is a document validation technique with a pilot implementation that can effectively compare and cross validate two uploaded files. © 2023 ieee.

关键词： E-learning

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Enhancing Chiller Plant Modelling Performance through NARX-Based Feature Optimization

Enhancing Chiller Plant Modelling Performance Through NARX-B...

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international conference on software engineering and computer systems (icsecs)

作者： Azlee Zabidi Mohd. Izham Jaya Hasliza Abu Hassasn Ihsan M. Yassin Faculty of Computing Universiti Malaysia Pahang Al-Sultan Abdullah Pekan Pahang Faculty of Electrical Engineering Universiti Industri Selangor Bestari Jaya Selangor School of Electrical Engineering College of Engineering Universiti Teknologi Mara Shah Alam Selangor

the research focuses on the modelling chiller plants in air cooling systems of large buildings. the existing evaluation of prediction efficiency and identification of efficient components in chiller plants has been limited. the goal of this research is to develop a methodology for modeling chiller plants by utilizing key parameters from their components. the resulting model accurately simulates the actual chiller plant system and can be used by organizations to predict future events, aiding in preventative maintenance and reducing maintenance costs, especially in critical buildings like hospitals. the research process include compiling the chiller plant's history, simulating the machinery using a regression technique called NARX, selecting crucial parameters using an optimization technique (BPSO), and validating the model. this study enhances our understanding and management capabilities of these important cooling systems by addressing the challenges of efficient modeling and prediction accuracy in chiller plant systems.

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Tool Support for Automated Traceability of Test/Code Artifacts in Embedded software systems

Tool Support for Automated Traceability of Test/Code Artifac...

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Int Joint conference of 10th ieee Int Conf on Trust, Security and Privacy in Computing and Communications (TrustCom) / 8th ieee Int Conf on Embedded software and systems (ICESS) / 6th Int Conf on Frontier of computer Science and Technology (FCST)

作者： Wiederseiner, Christian Garousi, Vahid Smith, Michael Univ Calgary Dept Elect & Comp Engn 2500 Univ Dr NW Calgary AB T2N 1N4 Canada

ISBN: (纸本)9780769546001

Development, testing and maintenance of software for embedded systems is a complex task. Analysis of the traceability between different software artifacts (e.g., source code, test code and requirements) is an enabling capability for better development, testing and maintenance of software systems. However, there is a general lack of tool support for automating traceability analysis for embedded systems. We demonstrate in this paper how to extend an existing unit test and test coverage framework to produce a hard-ware assisted tool framework capable of automatically deriving and visualizing traceability links between source code and test code artifacts. To demonstrate the applicability and usefulness of the framework, we report the application of the framework on realistic embedded software for vehicle gear transmission control built and deployed on the Analog Devices Blackfin (R) ADSP-5XX family of DSP processors.

关键词： Application programs

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Difference-Adaptive Knowledge Distillation for Resource-Constrained Embedded Devices 24

Difference-Adaptive Knowledge Distillation for Resource-Cons...

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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： Xiong, Yi Zhai, Wenjie Zhu, Zongwei School of Software Engineering Suzhou Institute for Advanced Research University of Science and Technology of China Suzhou China

ISBN: (纸本)9798350319934

Deep Neural Network (DNN) models have brought significant performance gains to machine learning tasks. Nevertheless, the huge storage and computational costs of high-performance models severely limit their deployment on resource-limited embedded devices. Knowledge distillation (KD) is the mainstream approach for models compression, but the existing KD framework has some limitations. First, the student model underperforms when there is a considerable capacity gap between the student and teacher models, which reduces the model compression rate in knowledge distillation. Second, compared with training from scratch, the billions of additional forward propagation of the complex teacher model is time-consuming, resulting longer train time in the distillation process. this paper proposes AKD, an efficient difference-adaptive knowledge distillation framework. AKD consists of two modules. the distillation module uses a modified auxiliary teaching architecture as the backbone, and the adaptive module introduces a difference-adaptive method, which can adjust the teacher model adaptively according to the continuously improving representation ability of the student model. Experimental results on different kinds of datasets and models indicate that AKD not only improves the efficiency of distillation, but also enhances the performance of the compact student model and raise the compression rate. © 2022 ieee.

关键词： Distillation

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A Standard software Fault Recording Method for Airborne computers 8

A Standard Software Fault Recording Method for Airborne Comp...

引用

8th international conference on Electrical, Mechanical and computer engineering, ICEMCE 2024

作者： Cai, Haoxin Wang, Liang Yang, Bo Wu, Le Xi'an Aeronautics Computing Technique Research Institute Avic Xi'an China Xi'an Thermal Power Research Institute Co. Ltd Tpri Xi'an China

ISBN: (纸本)9798331506230

With the rapid development of aviation technology, the popularity of cloud native technologies such as containers and microservices has led to the continuous improvement of the summer clutter of airborne systems. In this context, there are higher requirements for measuring and recording system faults, and it is necessary to improve the efficiency of problem location and optimization. In this paper, a standard software fault recording method for airborne computer is proposed. Based on the idea of fault coding, fault list and sub-table, a unified fault recording format and a partitioned storage method are designed. It is easy to save, analyze and classify fault data. this method can improve the efficiency and accuracy of fault information analysis, and further improve the difficulty of fault location in airborne system software. © 2024 ieee.

关键词： airborne computer fault record partitioned record unification

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AI-Generated CT Scan Image for Improving Colorectal Cancer Classification

AI-Generated CT Scan Image for Improving Colorectal Cancer C...

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international conference on software engineering and computer systems (icsecs)

作者： Syafie Nizam Mohd Adli Md Ali Mohd Radhwan Abidin Department of Physics Kulliyyah of Science Intenational Islamic University Malaysia Kuantan Pahang Malaysi Department of Radiology Kulliyyah of Medicine International Islamic University Malaysia Kuantan Pahang Malaysi

this research focuses on the improvement of classification of abnormal and normal CT scan images in the context of colorectal cancer by using generated CT scan images. Limited data availability poses a challenge as classification models, particularly deep learning models, require substantial amounts of data to achieve optimal performance. To address this issue, we employ a Generative Adversarial Networks (GANs) based model to generate additional data using the existing dataset. Subsequently, we retrain the classification model to assess any improvements resulting from the augmented data. Our findings indicate that StyleGAN2-ADA effectively generates synthetic CT scan images of colorectal cancer patients. Leveraging the generated images, we observe an enhancement in the classification performance. these results suggest the potential of data augmentation using GAN-based models to improve the accuracy and efficacy of classification models in the field of medical imaging analysis.

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Disassembling real-time fault-tolerant programs

Disassembling real-time fault-tolerant programs

引用

8th ACM international conference on Embedded software, EMSOFT 2008

作者： Bonakdarpour, Borzoo Kulkarni, Sandeep S. Arora, Anish 3115 Engineering Building Department of Computer Science and Engineering Michigan State University East Lansing MI 48823 United States 395 Dreese Hall Department of Computer Science and Engineering Ohio State University Columbus OH 43210 United States

ISBN: (纸本)9781605584683

We focus on decomposition of hard-masking real-time fault-tolerant programs (where safety, timing constraints, and liveness are preserved in the presence of faults) that are designed from their fault-intolerant versions. Towards this end, motivated by the concepts of state predicate detection and state predicate correction, we identify three types of fault-tolerance components, namely, detectors, weak δ-correctors, and strong δ-correctors. We show that any hard-masking program can be decomposed into its fault-intolerant version plus a collection of detectors, and, weak and strong δ-correctors. We argue that such decomposition assists in providing assurance about dependability and time-predictability of embedded systems. Copyright 2008 ACM.

关键词： Fault tolerance

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Design criteria and software metrics for efficient and effective Web-enabled mobile applications

Design criteria and software metrics for efficient and effec...

引用

8th international conference on computer engineering and systems (ICCES)

作者： Alaa, Ghada Menshawi, Mahmoud Saeed, Mena Egyptian Cabinets Informat & Decis Support Ctr Database Dept 1 Magles El Shaab St Cairo Egypt A1 Ahram Canadian Univ Fac Comp Sci & IT Giza Egypt

ISBN: (纸本)9781479900800

Design of Web-enabled mobile applications is a complex task as mobile-wireless systems have special emphasis on quality of service (QoS) that covers network bandwidth usage, response time, failure rates, recovery time and others. Beside network constraints, mobile applications have limitations in terms of display size, local storage capacity, processing power, cache memory and battery life time that affect mobile system design features. QoS is related to quality in use features, such as efficiency and effectiveness that characterize quality of the system while it is in use. this research studies software metrics related to the design of mobile system components and their effect on QoS and quality in use. the research classifies the metrics as related to abstraction, coupling, data complexity and file transfer properties. Application of proposed metrics on a real-case Web-enabled mobile application indicates system design criteria required to improve QoS.

关键词： mobile Web metrics quality of service effectiveness

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A Study on Advanced Networking using Intelligent systems Applications 8

A Study on Advanced Networking using Intelligent Systems App...

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8th ieee international conference for Convergence in Technology, I2CT 2023

作者： Gadhamsetty, Venkata Datta Adithya Kuma, Rohit VIT-AP University School of Computer Science and Engineering Andhra Pradesh Amaravathi India

ISBN: (纸本)9798350334012

With the rapid advances being made in the implementation of real-time networks such as IoT (Internet of things) and vehicles, there is steady progress in the digitization of everyday tasks. this adoption has led to various advantages such as an increase in efficiency, automation, connectivity, and cost savings. However, IoT faces significant issues due to its low-power nature and underdeveloped security systems. As such, researchers have proposed to adopt SDN (software-Defined Network) practices to handle the security aspects that threaten IoT infrastructure. the implementation of SDN allowed for IoT devices to function better due to aspects such as low-performance requirements, and better monitoring capabilities. this paper discusses the various advances and implementations of intelligent systems in SDN-based IoT architecture, in the domains of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL). Furthermore, this paper presents the analysis and comparison of various applications for SDN-based IoT system using intelligent systems based on their accuracy, precision, f1-score, and recall score. © 2023 ieee.

关键词： Internet of things

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