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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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the Art and Algorithms for Segmentation of Ultrasound Images of Breast Cancer Using Artificial Life 8

The Art and Algorithms for Segmentation of Ultrasound Images...

引用

Joint 8th international conference on Digital Arts, Media and Technology and 6th ECTI Northern Section conference on Electrical, Electronics, computer and Telecommunications engineering, ECTI DAMT and NCON 2023

作者： Makhanov, Stanislav S. School of Information and Computer Technology Sirindhorn International Institute of Technology Thammasat University Thailand

ISBN: (纸本)9798350396546

Segmentation of tumours in ultrasound (US) images of the breast is a critical problem in medical imaging. Due to the poor quality of US images and varying specifications of the US machines, the segmentation and classification of the abnormalities presents difficulties even for trained radiologists. Nevertheless, the breast US(BUS) remains one of the most reliable and inexpensive tests for early detection of the breast cancer. Recent publications show that the automated systems help radiologists to increase the accuracy of the diagnosis. the paper offers an algorithm based on Artificial Life (AL) for breast tumour segmentation. the paper demonstrates that the AL agents are able to process complex-shaped tumours. the numerical experiments and tests against preceding models prove the advantage of the AL. © 2023 ieee.

关键词： Tumors

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Research on optimization of highway tunnel outside brightness detection device and algorithm 8

Research on optimization of highway tunnel outside brightnes...

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8th international conference on Intelligent Computing and Signal Processing, ICSP 2023

作者： Wang, Fucheng Xin, Song Xu, Wanrong Wang, Dinuo Shandong University of Science and Technology College of Safety and Environmental Engineering Qingdao China Shandong University of Science and Technology College of Transportation Qingdao China North China Electric Power University Technology College Department of Electrical Engineering Baoding China

ISBN: (纸本)9798350302455

Tunnel lighting control systems that do not accurately sense changes in the tunnel's external lighting environment not only increase tunnel operating costs, but also may exacerbate the "black hole"and "white hole"effects that cause traffic safety accidents. In this paper, we use STM32F103RCT6 chip to design an illuminance detection device consisting of a light level acquisition module, STM32 development board and upper computer software to accurately detect the illuminance outside the tunnel, and it can be successfully applied to the tunnel lighting control system to send data to the control system. Based on the accurate acquisition of illuminance data outside the tunnel, the software designs an accurate processing algorithm to reject abnormal data and a multi-sensor data fitting algorithm, and finally verifies through experimental testing that the hardware system designed in this paper with the data processing algorithm can accurately reject the abnormal values of illuminance data outside the tunnel and provide accurate external light data for the tunnel lighting control system. © 2023 ieee.

关键词： Operating costs

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Sentirec - A Sentiment Analysis with Recommendation System 8

Sentirec - A Sentiment Analysis with Recommendation System

引用

8th international conference on Communication and Electronics systems, ICCES 2023

作者： Oswalt Manoj, S. Catherine Chandralekha, T. Dharshini, R.M. Hemadharsini, P. Sri Krishna College of Engineering and Technology Department of Computer Science and Business System Coimbatore India Sri Krishna College of Engineering and Technology Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798350396638

the standard language is assessed, and the feelings transmitted by the individual are brought up. the purpose of sentiment analysis is to determine the polarity of a person's textual opinion. Most of the people use social media to market ourselves and share all knowledge, thoughts, ideas, and experiences with the rest of the world. Sentiment analysis has been studied by several internet companies that offer materials based on human emotions expressed through social media. Many people use social media to post and share their thoughts and feelings. the sentiment analysis standard assorts a sentence with all forms of emotions, each of which has an intensity. this study includes a sentiment analysis of diverse perspectives on social topics that are trending on social media, along with a recommendation system. this method recommends related content to viewers based on their current statement or issue. the algorithm also suggests customized video sets to users based on their social media activity, such as diverse perspectives on a particular social problem about which they actively express their thoughts on social media. NLP algorithms are utilized for sentiment analysis and recommendation systems. © 2023 ieee.

关键词： Recommender systems

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Towards the multithreaded deterministic replay in program debugging

Towards the multithreaded deterministic replay in program de...

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8th international conference on Information Science and Digital Content Technology, ICIDT 2012

作者： Wang, Peng Zhang, Xiang Hao, Peilin Zhang, Yu School of Computer Science and Engineering Southeast University Nanjing China College of Software Engineering Southeast University Nanjing China

ISBN: (纸本)9788988678695

Multithread technology increase the efficiency of concurrent programming. However, for the reason of the non-deterministic feature of the multithreaded programs, debugging the multithreaded programs is an open problem. this paper reviews the existing works on multithreaded deterministic replay debugging methods, which are divided into hardware-based methods, software-based methods and hybrid methods, respectively. the classical methods and systems are discussed and analyzed in detail. In addition, advantages and disadvantages for each method are also compared and addressed. © 2012 AICIT.

关键词： Program debugging

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Weak Network Oriented Mobile Distributed Storage: A Hybrid Fault-Tolerance Scheme Based on Potential Replicas 24

Weak Network Oriented Mobile Distributed Storage: A Hybrid F...

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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： Wei, Xinlei Tan, Yujuan Liu, Duo Wu, Daitao Wu, Yu Chen, Xianzhang Li, Jian College of Computer Science Chongqing University Chongqing China School of Big Data and Software Engineering Chongqing University Chongqing China School of Electrical Engineering Chongqing University Chongqing China

ISBN: (纸本)9798350319934

Node failure is one of the most typical issues in distributed storage systems. the classic fault-tolerance methods can meet the fault tolerance needs of systems deployed in edge storage, 5G IoT, and other high-performance data centers. However, mobile distributed systems contend with inconsistent network signals and relatively low bandwidth in weak network environments. the traditional fault-tolerance schemes have difficulty ensuring distributed storage and data repair simultaneously, posing a considerable challenge to data storage reliability. To address this problem, we proposed a hybrid fault-tolerance scheme based on potential replicas, called HFPR, which trades off storage overhead and performance for weak network mobile distributed storage systems. HFPR first stores data with the erasure code redundancy and then gradually increases data redundancy by reserving potential replicas, enabling the system to disperse network transmission pressure and reduce network transmission. To maximize replica utilization and control the storage overhead of potential replicas, we design a node state prediction mechanism and a file lifecycle management mechanism. Evaluation results show that, compared with the traditional hybrid fault-tolerant scheme with the same storage overhead, HFPR achieves better replica-level repair efficiency in data repair and a reduced probability of degraded reads by approximately 50%. During data distribution, HFPR can minimize data write amplification by up to 1.1× and additional network transfers by up to 77.5%. © 2022 ieee.

关键词： Fault tolerance

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An Ensemble-Based Framework to Estimate software Project Effort

An Ensemble-Based Framework to Estimate Software Project Eff...

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international conference on software engineering and computer systems (icsecs)

作者： Mohammad Haris Fang-Fang Chua Amy Hui-Lan Lim Faculty of Computing and Informatics Multimedia University Cyberjaya Malaysia

Effort estimation is essential for successful software project planning, budgeting, and risk identification. However, the techniques used to estimate effort are often inaccurate, outdated, and only consider technical factors while neglecting project management or stakeholder engagement. Expert estimation remains an important technique for leveraging human expertise in software estimation, but solely relying on this technique causes biased and subjective predictions. Machine learning (ML) techniques have shifted the direction of software project effort estimation towards computational intelligence. Nonetheless, there is a lack of deployment due to ambiguous outcomes and ineffective model-building approaches. this study presents an ensemble-based framework that can estimate software project effort more accurately with the incorporation of domain knowledge and experiences. To achieve this, six homogeneous classifier ensembles will be constructed using six distinct classifiers on the proposed USP05-FT dataset. the collected expert estimations will be integrated into the proposed dataset as an additional feature in the form of numerical values such as expert-provided software project effort estimations (in person hours) that provide additional insight and knowledge. Subsequently, the predictions of all six homogeneous classifier ensembles will be combined through majority voting to obtain a more accurate and reliable prediction with increased robustness against errors and uncertainties. the performance of the proposed framework will be evaluated using Recall, F-measure, Precision, and Accuracy. It is expected that the proposed ensemble-based framework for software project effort estimation will lead to more efficient and effective software project management, an improvement in resource allocation, empowering informed decision-making, and timely project delivery.

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Product Recommendation using Deep Learning in computer Vision

Product Recommendation using Deep Learning in Computer Visio...

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international conference on software engineering and computer systems (icsecs)

作者： Sharvinteraan C. Mogan Zuriani Mustaffa Mohd Herwan Sulaiman Ferda Ernawan Faculty of Computing Universiti Malaysia Pahang Al-Sultan Abdullah Pekan Pahang Malaysia Faculty of Electrical and Electronics Engineering technology Universiti Malaysia Pahang Al-Sultan Abdullah Pekan Pahang Malaysia

Recently, recommendation models have gained popularity due to their effectiveness in improving customer satisfaction and deriving sales. However, current product recommendation models have a drawback: they lack personalized and targeted advertisements for individual users. Consequently, the recommendations provided are random and not tailored to users' preferences. this limitation negatively impacts the system's ability to deliver relevant and personalized advertisements, leading to reduced user engagement and potentially lower conversion rates. Moreover, the absence of personalized advertisements can result in user dissatisfaction as they may receive recommendations that are irrelevant or not aligned with their interests and needs. To address these challenges, this study proposed a targeted product recommendation model using Deep Learning (DL) techniques in computer vision. the study utilizes the dataset of human images obtained from the Kaggle website, which includes details such as gender, class, and age. Findings of the study demonstrated a high level of accuracy in product recommendations, indicating the potential for significant improvements in addressing the issues. In conclusion, the proposed method achieves good accuracy in predicting the gender and age, and provides appropriate product recommendations based on these features.

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Overview on the Modal Orthogonality of the Wave-Port-Fed Transmitting Antennas 8

Overview on the Modal Orthogonality of the Wave-Port-Fed Tra...

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8th international conference on computer and Communication systems, ICCCS 2023

作者： Lian, Ren-Zun School of Electronic Engineering Xidian University Xi'an China

ISBN: (纸本)9781665456128

the fundamental physical principle and core mathematical formulations of the energy transport theorem (ETT)-based decoupling mode theory (DMT) for analyzing the energy-decoupled modes (DMs) of the wave-port-fed transmitting antennas are reviewed. the various frequency-domain and time-domain orthogonality satisfied by the transmitting DMs are summarized. the physical meanings of some important orthogonality are explained. the dependence relationships among the various orthogonality are revealed. the necessity and importance of the imaginary power orthogonality is emphasized. From the perspective of modal orthogonality and some other perspectives, the essential differences between the ETT-based DMs and the sub-structure integral equation (SS-IE)-based characteristic modes (CMs) are clarified. © 2023 ieee.

关键词： Integral equations

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Research on a Sorting Garbage Bin Based on the Baidu Voice Recognition 8

Research on a Sorting Garbage Bin Based on the Baidu Voice R...

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8th international conference on Information systems engineering, ICISE 2023

作者： Zhang, Qihua Li, Jian Cui, Jiayu Ren, Zhecong Zhao, Liang Liaoning Technical University School of Software Huludao125000 China

ISBN: (纸本)9798350307009

In this paper, Baidu voice recognition method is adopted to study a sorted garbage *** main conclusions can be summarized as follows: (1) the experimental results show that the voice interactive sorting garbage bin can accurately and efficiently identify the garbage described by the users.(2) It solve the problem that the residents do not know how to sort the garbage. the voice interaction sorting garbage bin can also detect the volume information of the garbage in the bin and upload it to the city brain to optimize the scheduling of garbage recycling trucks. In terms of the future work, sorted garbage bin should be carried out to enhance for the study of sorting garbage bin can industrialization. © 2023 ieee.

关键词： Speech recognition

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the Level up of Digital Commerce Performance Model for University Digital Startup Ecosystem 8

The Level up of Digital Commerce Performance Model for Unive...

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作者： Santirojanakul, Sirikorn Kornsurin, Phusit Tinamas, Pachara Kanyamee, Nairat College of Arts Media and Technology Chiang Mai University Chiang Mai Thailand Business Administration Software Engineering Chiang Mai Thailand

ISBN: (纸本)9798350396546

the objective of this study is to analyze the university ecosystem on how it can level up in being a startup as part of the digital commerce performance. this study used a qualitative analysis to find the empirical evidence. the crucial research methods are craft idea and do commercial. this study found that the Upper North thailand Startup adopted a different degree of digital commerce performance. Sample groups were separated into three groups: startup of department, SMEs and student. the highest potential is product potential, and the lowest potential is the use of IT for the supply side. © 2023 ieee.

关键词： Ecosystems

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