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检索条件"任意字段=Proceedings of the 9th Knowledge-Based Software Engineering Conference"

共 20293 条记录，以下是611-620 订阅

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Enhancement of on-time delivery of orders by Lean Service and planning tools in a commercial company in the mining sector 9

Enhancement of on-time delivery of orders by Lean Service an...

引用

9th International conference on Innovation and Trends in engineering, CONIITI 2023

作者： Zapata-Cerna, Alvaro Javier Guzman-Carrillo, Luis Alexander Quiroz-Flores, Juan Carlos Industrial Engineering Career Universidad de Lima Engineering Faculty Peru

ISBN: (纸本)9798350369465

the importance of service level in companies is increasingly vital, whether post or pre-sales, the level should always aim to satisfy the customer. To maintain a good level of service it is necessary that, in each sector, logistics and transportation are reviewed to meet the delivery time agreed with the customer, this avoids a decrease in the customer base and even sales cancellations that affect the final profit. therefore, it is essential to plan the supply and distribution processes and then review the operation times to seek a standardized process. the proposed proposal uses a Master Plan Schedule and Distribution Requirement Planning tools to improve supply and distribution management;In another way, the use of Poka Yoke and Work Standardization is also proposed to avoid errors to reduce operating times and seek their standardization. After the implementation of the pilot tests, the increase in the rate of orders delivered on time by 27% was achieved, the results were supported with a software simulation where the same results were obtained. © 2023 IEEE.

关键词： Sales

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Natural Language Processing (NLP) based Extraction of Tacit knowledge from Written Communication during software Development 4

Natural Language Processing (NLP) based Extraction of Tacit ...

引用

4th International conference on Advancements in Computational Sciences, ICACS 2023

作者： Noor, Maham Rana, Zeeshan Ali University of Central Punjab Faculty of Information and Technology Lahore Pakistan FAST School of Computing FAST-NUCES Lahore Pakistan

ISBN: (纸本)9781665463775

software engineering, in general, and Global software engineering (GSE), in particular, face challenges such as handling communication and collaboration issues and inappropriate knowledge management. It is difficult to ensure availability of right knowledge at the right time to the right person during software engineering activity. the knowledge needs to be shared across the organization but limitations of knowledge sharing tools or dispersed knowledge sharing media and improper handling of tacit knowledge makes it more challenging to share knowledge. Significant amount of communication during software engineering process takes place via emails and discussion forums. Decisions taken during planning activities are also communicated through emails. these emails and the discussions do not necessarily cover the rationale behind a decision or approach adopted. this leaves a substantial portion of shared knowledge as tacit. Mostly, due to undefined tacit knowledge handling procedures, organizations suffer with the loss of critical knowledge and information. One way to handle this loss of knowledge is to store every information in knowledge repository but this can increase the size of the knowledge repository. this paper presents a three step approach to identify tacit knowledge in the written communication such that the organizations can save the tacit knowledge for future use. the presented approach does not only extract up to 57% of tacit knowledge but also indicates that only 20% of the whole communication need to be externalized hence saving 80% capacity of the knowledge repository, if every communication was to be preserved as potential tacit knowledge. © 2023 IEEE.

关键词： knowledge management

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Design neural network-based adaptive controller for underactuated 3-wheeled Mobile Robot 9

Design neural network-based adaptive controller for underact...

引用

9th International conference on Integrated Circuits, Design, and Verification, ICDV 2024

作者： Vu, Minh Duc Phong, Dang Tuan Xuan, Hai Le Van, Dzung Le Do, Dzung Manh Pham, Ngoc thanh Vietnam National University International School Hanoi Viet Nam Hung Vuong University Faculty of Engineering Technology Phu Tho Viet Nam Hanoi University of Science and Technology School of Electrical and Electronic Engineering Hanoi Viet Nam

ISBN: (纸本)9798350371864

3-wheeled mobile robots (3WMR) are used widely in various industries. they can operate in hazardous environments and complete tasks automatically without direct human intervention. In this paper, since the 3-Wheel Mobile Robot is an insufficient actuated system, the hierarchical sliding mode controller is designed to make the 3WMR system track to the desired trajectory. Moreover, in reality, various disturbances negatively affect the system's operation. an RBF neural network;therefore, applied to the closed scheme to estimate all the uncertainties and the system's nonlinearities. the Lyapunov function proves the stability of the closed-loop robot system. the effectiveness of the proposed methods is verified in the simulation section by the Matlab/Simulink platform. © 2024 IEEE.

关键词： Sliding mode control

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An Innovative Regional Condition Hybrid Routing Protocol Accessing in Wireless Networks 9

An Innovative Regional Condition Hybrid Routing Protocol Acc...

引用

9th International conference on Communication and Electronics Systems, ICCES 2024

作者： Gunasekaran, K. Verma, S. Kishore Johnsana, J. S. Adeline Tamilarasan, N. Sahayaraj, J. Martin Department of Cse Andhra Pradesh Vijayawada520007 India Department of Cse Telangana Hyderabad501 506 India Sri Indu College of Engineering and Technology Department of Cse T.S Hyderabad501510 India Sri Indu College of Engineering and Technology Department of Ece T. S Hyderabad501510 India

ISBN: (纸本)9798350377972

the heterogeneous wireless mesh methodologies proffer a chance for increase in capacity of a network and achieve greater quality of service (QoS). Distinct standards, protocols, and access technologies are used in wireless devices. However, the existing research negligent entire way, so RC method based on a combination of WMN is proposed. the base, source of network creates the hybrid wireless mesh network. Multiple radio interfaces are involved in the mesh routers and a technique such as regional condition hybrid routing protocol (RC-HRP) enlarge the volume of a system. the entire proactive path is considered for accessing efficiently, inclusion of gateway-oriented traffic and client-oriented traffic studied completely. the simulation results using ns-3 displays the merits of RC-HRP with regard to latency, throughput. © 2024 IEEE.

关键词： Wireless mesh networks (WMN)

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WirelessDT: A Digital Twin Platform for Real-Time Evaluation of Wireless software Applications 45

WirelessDT: A Digital Twin Platform for Real-Time Evaluation...

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45th IEEE/ACM International conference on software engineering (ICSE)

作者： Lai, Zhongzheng Yuan, Dong Chen, Huaming Zhang, Yu Bao, Wei Univ Sydney Fac Engn Sydney NSW Australia

ISBN: (纸本)9798350322637

Wireless technology has become one of the most important parts of our daily routine. Besides being used for communication, the wireless signal has been applied to various Wireless software Applications (WSAs). the signal fluctuation caused by the measurement system or the environmental dynamic can significantly influence WSAs' performance, making it challenging to evaluate WSAs in real-world scenarios. To overcome these challenges, we propose WirelsssDT, a wireless digital twin platform, using digital twin and real-time ray tracing technologies to emulate the wireless signals propagation and generate emulation data for real-time WSAs evaluation. In this demonstration, we evaluate a wireless indoor localisation mobile application with two typical prediction algorithms: 1) Kalman Filter-based Trilateration and 2) Deep Recurrent Neural Network, as a case study to demonstrate the capabilities of WirelessDT. the source code is available at https://***/ codelzz/WirelessDT, and the demonstration video is available at https://***/9Kl- 3jgMBUA.

关键词： Digital Twin Wireless software Evaluation Wireless Signal Emulation Emulation Tool

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MDASC: Advanced Dual-Layered Code Cloning Technique for Identifying Reused Malicious Code 36

MDASC: Advanced Dual-Layered Code Cloning Technique for Iden...

引用

36th International conference on software engineering and knowledge engineering, SEKE 2024

作者： Glani, Yasir Ping, Luo Ke, Lin School of Software Tsinghua University China

ISBN: (纸本)1891706594

Code cloning is a prevalent practice in software development, frequently exploited by adversaries to propagate malicious code, compromising user security and privacy. Recently proposed detection techniques often fail to identify complex clones, posing significant s oftware i ntegrity a nd s ecurity risks. In response, we introduce MDASC, an advanced dual-layered approach to detecting known Android malware through code cloning. MDASC employs method-based signature detection followed by sliding windows-based detection, effectively identifying modified and unmodified states of reused malware code, encompassing Type-I, Type-II, and Type-III (VST, ST, and MT) clones. Our comprehensive comparative study evaluates MDASC against recently proposed techniques across various code cloning detection methods, demonstrating its superiority in precision, recall, F1-score, accuracy, and efficiency. Leveraging intelligent retrieval and processing algorithms, MDASC maintains high efficiency, achieving an average detection time of 0.33 seconds for a database of 132,414 files and 13.5 million lines of code. this efficiency and effectiveness emphasize MDASC’s potential for real-time security applications. MDASC represents a significant a dvancement in malicious code reuse detection, offering unparalleled accuracy and efficiency, t hereby e nhancing s oftware s ecurity practices within the rapidly evolving Android ecosystem. © 2024 knowledge Systems Institute Graduate School. All rights reserved.

关键词： Android malware

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Machine Learning based Stock Price Prediction Using Sentiment Analysis from News Articles 9

Machine Learning Based Stock Price Prediction Using Sentimen...

引用

9th International conference on Communication and Electronics Systems, ICCES 2024

作者： Annalakshmi, M. Vishnu Kumar, M.J. Saffryn Timothy, S. Velammal College of Engineering and Technology Department of Computer Science and Engineering Madurai India

In today9;s world predicting stock prices remains a challenge due to markets being volatile as it is driven by multiple factors. In the past, investors and business men depended on traditional methods of prediction... 详细信息

ISBN: (纸本)9798350377972

In today's world predicting stock prices remains a challenge due to markets being volatile as it is driven by multiple factors. In the past, investors and business men depended on traditional methods of prediction, only taking pre-historic data for consideration. With the addition of introducing new factors that influence today's market and one that is highly overlooked is the market sentiment. Public perception always played a huge role in influencing the market and is crucial for investors to understand the height of the situation. thus, exploring new areas that were previously neglected is quite the challenge. By introducing algorithms that gain a sentiment understanding from public media combined with various learning algorithm has proved the effectiveness of external factors that playa role in stock price fluctuations. Using a combination of algorithms such as FinBERT for sentimental analysis paired with Long Short-Term Memory (LSTM) has scored a predictive accuracy of 95%. Other algorithms that have proved notable performance are XGBoost, Gated Recurring Unit (GRU) and DeepAR. © 2024 IEEE.

关键词： Costs

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9th International conference on Computing and Informatics, ICOCI 2023

9th International Conference on Computing and Informatics, I...

引用

9th International conference on Computing and Informatics, ICOCI 2023

ISBN: (纸本)9789819995912

the proceedings contain 55 papers. the special focus in this conference is on Computing and Informatics. the topics include: Sentiment Analysis of Arabic Dialects: A Review Study;charting Inclusive Digital Society Research Trends: A Bibliometric Analysis of E-Participation through Social Media;systematic Literature Review and Bibliometric Analysis on Addressing the Vanishing Gradient Issue in Deep Neural Networks for Text Data;a Test Dataset of Offensive Malay Language by a Cyberbullying Detection Model on Instagram Using Support Vector Machine;tikTok Video Cluster Analysis based on Trending Topic;a Video Summarization Method for Movie Trailer-Genre Classification based on Emotion Analysis;e-Nose: Spoiled Food Detection Embedded Device Using Machine Learning for Food Safety Application;an Analysis of Objective Function Modification Approaches in Routing Protocols for Low Power and Lossy Networks: A Fuzzy Logic-based Perspective;an Empirical Study of Label Size Effect on Classification Model Accuracy Using a Derived Rule from the Holy Quran Verses;large Scale Web Crawling and Distributed Search Engines: Techniques, Challenges, Current Trends, and Future Prospects;anomalies in Mooring (thin) Lines: Causes, Risk Mitigations, and Real Time Consequences of Failure – A Comprehensive Review;data Analytics Modelling System for Short Courses at Seberang Jaya Community College;examining the software Developers’ Perception in Open-Source software of Blockchain Project Using Association Rules Mining;support Vector Machine for Satellite Images Classification Using Radial Basis Function Kernel Method;a Regression Test Case Prioritization Framework for software Sustainability;towards a Sustainable Digital Society: Supporting Producer Mobility in Named Data Networking through Immobile Anchor-based Mechanism.

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Comparative Optimization of Silicon Dioxide and Hafnium Dioxide-based BIOFETs: Temperature Effects on Voltage and Drain Characteristics 9

Comparative Optimization of Silicon Dioxide and Hafnium Diox...

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9th International conference on Communication and Electronics Systems, ICCES 2024

作者： Sanjai, R. Anandan, P. Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Electronics and Communication Engineering Chennai India

ISBN: (数字)9798350377972

ISBN: (纸本)9798350377972

this study examines the performance optimization of Silicon Dioxide (SiO2)-based and Hafnium Dioxide (HfO2)-based Biosensor Field Effect Transistors (BIOFETs) by analysing their voltage and drain current characteristics under varying temperature conditions. Experimental investigations involved two sets of BIOFET samples, each incorporating either SiO2 or HfO2 as the dielectric material. the sample size was determined with a significance level of 0.05 and a statistical power of 80%. Simulations were conducted by systematically varying the temperature from 25°C to 75°C in 5°C increments, while maintaining parameters, such as gate oxide thickness, substrate thickness, and channel length, constant. the results demonstrated significant differences in voltage and drain current characteristics between the two materials. SiO2-based BIOFETs exhibited higher drain current values and more stable voltage performance across the tested temperature range compared to HfO2-based BIOFETs. Statistical analysis using Independent T-tests confirmed these differences as significant (p 2-based BIOFETs offer superior performance over HfO2-based BIOFETs under optimized temperature conditions. these findings provide valuable insights for enhancing biosensor performance through the careful selection of dielectric materials and temperature optimization. © 2024 IEEE.

关键词： Field effect transistors

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How does project context matter in enhancing the capabilities of code summarization models? 36

How does project context matter in enhancing the capabilitie...

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36th International conference on software engineering and knowledge engineering, SEKE 2024

作者： Li, Jiuli Liu, Yan School of Software Engineering Tongji University Shanghai China

ISBN: (纸本)1891706594

High-quality code summaries are vital for improving code understanding, reuse, and maintenance efficiency. With the rise of deep learning, neural networks have become a hot topic in code summarization. Utilizing lexical and structural code information enhances summary quality, but often relies solely on the source code. Recent efforts to improve semantic understanding through additional randomly selected context have faced challenges of model interference. this paper introduces the CE-GCS method, incorporating a denoising strategy to remove dataset noise and redundant information. It leverages project-level context based on calling and dependency rules to enrich code representation. the GA-FCSM model, built on the Transformer architecture, utilizes multi-head attention to capture project-level context, integrating textual token sequence and AST structure information by fusion network to improve the performance of summary generation. Evaluating CE-GCS using BLEU, ROUGE, and METEOR, the paper demonstrates the importance of project-level context in enhancing semantic understanding. GA-FCSM outperforms baseline models that use various input combinations. Ablation experiments further highlight the contribution of textual tokens, AST, and context, while confirming the benefits of the fusion network and copy mechanism. the proposed context fusion index (CSF, CNF, CCF) offers new insights into the role of project-level context in code summarization. © 2024 knowledge Systems Institute Graduate School. All rights reserved.

关键词： Semantics

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