检索结果-内蒙古大学图书馆

54th IEEE Frontiers in Education Conference, FIE 2024

作者： Clear, Tony Clear, Alison Auckland University of Technology Department of Computer Science and Software Engineering Auckand New Zealand School of Computing Eastern Institute of technology Auckland New Zealand

ISBN: (纸本)9798350351507

This research paper describes and extends the outcomes from an in- depth study investigating the difference in the expected skills requirements from junior software engineers to senior software engineers, and reflections on the findings from that study. It is a given that senior software engineers have more experience and skills than junior software engineers. However, a focus on their differing competencies and dispositions provides an enhanced mechanism for comparison. Gaps were identified in assessing 'professional knowledge' as categorized by the IEEE/ACM computing Curriculum Overview Report (CC2020), and in assessing 'dispositions'. It appeared that the specific scenario of comparing the expected competencies between junior and senior software engineers, tested the framework for assessing competencies developed in the CC2020 project and applied in its mapping to the IEEE/ACM Computer Science (CS2013) approved curriculum. In this study into the difference between Junior and Senior Software Engineers, an initial review of relevant literature was conducted. The review found that research analyzing job requirements for software engineers of different levels was limited;'experience' as a keyword was seldom mentioned;and a common distinction was made between 'soft' and 'hard' skills - the latter being skills that were 'technical', such as programming languages, frameworks, libraries, and tools, whereas soft skills referred to skills such as personality traits, attitudes, and teamwork skills. In our extension of that work the notion of soft skills was unpacked into professional skills and dispositions. The process of mapping from the CC2020 competency framework to the CS2013 curriculum had deliberately modelled how to represent a competency-based rather than a knowledge-based curriculum. The critical deficiency identified here was the limitation imposed by adopting a skills framework based on the cognitive taxonomy, and thereby unwittingly omitting the crucial compani

关键词： Mapping

来源：评论

学校读者我要写书评

暂无评论

On the Security of Smart Home Systems:A Survey

引用

Journal of Computer Science & technology 2023年第2期38卷 228-247页

作者：袁斌万俊吴宇晗邹德清金海 School of Cyber Science and Engineering Huazhong University of Science and TechnologyWuhan 430074China Hubei Key Laboratory of Distributed System Security Huazhong University of Science and Technology Wuhan 430074China Hubei Engineering Research Center on Big Data Security Huazhong University of Science and Technology Wuhan 430074China National Engineering Research Center for Big Data Technology and System Huazhong University of Science and TechnologyWuhan 430074China Services Computing Technology and System Lab Huazhong University of Science and TechnologyWuhan 430074China Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen 518057China School of Computer Science and Technology Huazhong University of Science and TechnologyWuhan 430074China Cluster and Grid Computing Lab Huazhong University of Science and TechnologyWuhan 430074China

Among the plethora of IoT(Internet of Things)applications,the smart home is one of the ***,the rapid development of the smart home has also made smart home systems a target for ***,researchers have made many efforts to investigate and enhance the security of smart home *** a more secure smart home ecosystem,we present a detailed literature review on the security of smart home ***,we categorize smart home systems’security issues into the platform,device,and communication *** exploring the research and specific issues in each of these security areas,we summarize the root causes of the security flaws in today's smart home systems,which include the heterogeneity of internal components of the systems,vendors'customization,the lack of clear responsibility boundaries and the absence of standard security ***,to better understand the security of smart home systems and potentially provide better protection for smart home systems,we propose research directions,including automated vulnerability mining,vigorous security checking,and data-driven security analysis.

关键词： IoT(Internet of Things) smart home IoT security smart home security

来源：评论

学校读者我要写书评

暂无评论

MEDIMIND MATE: The Healthcare ChatBot based on Machine Learning and Natural Language Processing 2

MEDIMIND MATE: The Healthcare ChatBot based on Machine Learn...

引用

2nd IEEE International Conference on Advances in Information technology, ICAIT 2024

作者： Choudhary, Aditi Prasad, Guru M.S. Rawat, Anshika Upadhyay, Khushi Gowda, Mahima M. Jain, Amith K. Dehradun India School of Computing & Information Technology Reva University Bengaluru India Department of Electronics and Communication Engineering SDM Institute of Technology Dehradun India

ISBN: (纸本)9798350383867

While one' s health is unquestionably a valuable asset in the modern world of hustle and bustle, it is also susceptible to several threats. Regular visits to healthcare specialists are frequently impeded by the demands of busy schedules. Healthcare chatbots have proven important in addressing this widespread issue. The proposed paper successfully solves this issue by evaluating four distinct algorithms for disease prediction, out of which the random forest classifier produced the highest accuracy of 99.6%, so the chatbot made use of the random forest model, which was trained on a dataset that included illnesses and the symptoms that went along with them. It then uses cosine similarity to predict symptoms accurately to identify possible illnesses. The chatbot also provides information about nearby doctor locations in addition to further specifics regarding the anticipated disease. © 2024 IEEE.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

A Deep CNN-Based Approach for 10-Class with Two-Channel EMG Signal Classification 4th

A Deep CNN-Based Approach for 10-Class with Two-Channel EMG ...

引用

4th International Conference on Electronics, Biomedical engineering, and Health Informatics, ICEBEHI 2023

作者： Triwiyanto Yulianto, Endro Rahmawati, Triana Chai, Rifai Department of Medical Electronics Technology Poltekkes Kemenkes Surabaya Surabaya Indonesia School of Science Computing and Engineering Technologies Swinburne University of Technology Melbourne Australia

ISBN: (纸本)9789819714629

Electromyography (EMG) signals have emerged as vital tools for prosthetic control, motor function assessment, and rehabilitation technology. Traditional methods, relying on manual feature extraction, struggle with high-dimensional EMG data. Deep learning, specifically Convolutional Neural Networks (CNNs), has shown promise in addressing these challenges. However, there is a need to explore CNNs’ effectiveness, optimal architecture, real-time processing, and data augmentation for EMG signal classification. This study aimed to introduce a CNN-based approach tailored to classify ten-class, two-channel EMG signals. Eight participants provided EMG data by performing ten distinct finger and hand movements. Data were collected using two-channel EMG sensors, amplified, sampled at 4000 Hz, and filtered. A CNN architecture with eight layers was designed, incorporating one-dimensional convolutional layers, max pooling, global average pooling, dropout layers, and a dense output layer. The CNN-based approach demonstrated promising results. It exhibited high accuracy in classifying EMG signals for most classes, with an overall accuracy of approximately 91%. It excelled in the thumb (THU) and thumb-ring (TH-R) classes. However, some classes, like thumb-middle (TH-M) and thumb-index (TH-I), showed room for improvement in terms of recall. This study introduced an innovative CNN-based approach to tackle the challenges of classifying ten-class, two-channel EMG signals. It addressed critical research gaps and significantly advanced EMG signal processing, particularly for prosthetic control and rehabilitation technology. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Convolution

来源：评论

学校读者我要写书评

暂无评论

Evolving ATM Networks for High Volume Transactions 5th

Evolving ATM Networks for High Volume Transactions

引用

5th International Conference on Data Science, Machine Learning and Applications, ICDSMLA 2023

作者： Impa, B.H. Alam, Intekhab Kavitha, R. Prajapati, Sandhya School of Computer Science and Engineering Presidency University Karnataka Bengaluru India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India Karnataka Bangalore India Department of Civil Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Manduwala Dehradun Navgaon India

ISBN: (纸本)9789819780426

ATM networks are evolving to guide excessive extent transactions and offer new features which includes increased safety, scalability, and cost performance. To lessen value, Banks are utilizing personal cloud environments to host their ATMs, whilst banks are looking for to deploy new offerings that assist their customers provide a higher enjoy. To enhance protection, banks are searching at encrypting data, and leveraging biometric authentication methods. Banks also are seeking to extend their offerings utilization of analytics to better goal purchaser advertising campaigns. Sooner or later, banks are adopting the use of micro services and disbursed architectures to enable building an extra scalable infrastructure that can scale horizontally with minimal effort. A majority of these advances are main to ATM networks which are efficient, comfy and dependable. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Sales

来源：评论

学校读者我要写书评

暂无评论

Word Based Tic-Tac-Toe Using Reinforcement Learning 15

Word Based Tic-Tac-Toe Using Reinforcement Learning

引用

15th International Conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Niveaditha, V.R. Sheba Sulthana, P.R. Bharathi Mohan, G. Doss, Srinath Amrita School of Computing Amrita Vishwa Vidyapeetham Dept. of Computer Science Engineering Chennai India Botho University Faculty of Engineering and Technology Botswana

ISBN: (纸本)9798350370249

This paper introduces a novel approach in playing Tic Tac Toe by replacing traditional Xs and Os with synonyms sourced from a lexical database, WordNet. Leveraging Reinforcement Learning (RL), our agent learns optimal strategies based on the meanings of these words, enhancing gameplay with language understanding. Through the integration of Natural Language ToolKit (NLTK) to download WordNet, and Gensim for importing Word2Vec model, coupled with Q-learning algorithm, our system dynamically adapts its gameplay to the semantic context of the words occupying the game board. This abstracts the game into a domain where linguistic comprehension influences strategic decision-making, presenting an innovative fusion of language and gaming. © 2024 IEEE.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Network Intrusion Classifier with Optimized Clustering Algorithm for the Efficient Classification 5

Network Intrusion Classifier with Optimized Clustering Algor...

引用

5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2024

作者： Balajee, R.M. Kallam, Suresh Jayanthi Kannan, M.K. Faculty of Engineering and Technology Bangalore562112 India School of Computing Science and Engineering Vit Bhopal University Madhya Pradesh Sehore Kothrikalan466114 India

ISBN: (纸本)9798350385649

Nowadays network security is becoming more and more challenging due to increasing number of network attacks. The major attack which carried out on the network seems to be DoS attack, DDoS attack, Botnet Attack and Bruteforce Attack. The proposed research work will classify the incoming packets in the cloud environment (through network) as attack or non-attack packets with best clustering and cluster head optimization algorithm. The overall classified cluster lead to further classification on the specified four major attacks with the better accuracy and other network intrusion measures. There are sorne fixed techniques associated in this classification and those are Principal Component Analysis PCA for extracting the features and AutoFncoder (classifier algorithm based on deep-learning) for classifying the attacks after clustering as attack and non-attack group. This research includes a CSE - CIC - IDS dataset which had more than 1.8 crore packets. These are the packets which are having above four major attacks and also includes SQL Injection and Infiltration attacks in lesser proportionate. The motive behind this research is to find the best fit of clustering algorithm with a combination of efficient cluster head optimization technique with the fixed technique of PCA based feature reduction and deep learning based classifier on to and from of clustering mechanism for betterment of intrusion classification accuracy and other network measures. © 2024 IEEE.

关键词： Principal component analysis

来源：评论

学校读者我要写书评

暂无评论

CVchain: A Cross-Voting-Based Low Latency Parallel Chain System 23

CVchain: A Cross-Voting-Based Low Latency Parallel Chain Sys...

引用

23rd IEEE International Conference on Trust, Security and Privacy in computing and Communications, TrustCom 2024

作者： Wang, Jianrong Ren, Yacong Hu, Dengcheng Li, Qi Li, Sen Li, Xuewei Liu, Xiulong Tianjin University College of Intelligence and Computing China Tianjin University School of Electrical and Information Engineering China Tianjin University School of Future Technology China

Despite existing parallel chain systems improving blockchain throughput by allowing concurrent blocks to be appended, challenges such as the excessive number of waiting blocks before confirmation and the inconsistency between block generation order and global confirmation sequence still persist. To address these challenges, we propose CVchain, a parallel chain system with a cross-voting mechanism. Blocks from other subchains are incorporated into the consistency determination of the main chain, reducing the probability of confirmation errors. Our global sorting mechanism leverages both real-time height information and the implicit temporal order contained in voting to improve the accuracy of block ordering. Furthermore, our voting mechanism randomly splits the mining power of the system, preventing targeted attacks on the specific subchain and defending against liveness attacks. We prove the safety and liveness properties of CVchain. We demonstrated its performance with a prototype implementation and large-scale experiments involving 200 nodes across 10 cloud servers in a distributed network environment. The results indicate that CVchain achieves a latency reduction of approximately 32.3% at a confirmation error probability of 0.01 while maintaining throughput levels comparable to OHIE. Additionally, it provides enhanced transaction ordering services. © 2024 IEEE.

关键词： Multiprocessing systems

来源：评论

学校读者我要写书评

暂无评论

New Entanglement-Assisted Concatenated Quantum Codes Exceed Quantum Gilbert-Varshamov Bound 10

New Entanglement-Assisted Concatenated Quantum Codes Exceed ...

引用

10th International Conference on Computer and Communications, ICCC 2024

作者： Wang, Renxu Fan, Jihao School of Cyber Science and Engineering Nanjing University of Science and Technology Nanjing210094 China Laboratory for Advanced Computing and Intelligence Engineering Wuxi214083 China

Quantum error-correction codes leverage encoding and redundancy to effectively detect and correct errors, thereby enhancing the reliability and accuracy of signal detection. Based on the scheme of entanglement-assisted concatenated quantum codes (EACQCs), we construct both new binary and non-binary EACQCs. Several of the new EACQCs achieve better parameters than the best-known standard entanglement-assisted quantum error-correction codes while maintaining the same code lengths and net transmissions. The quantum Gilbert-Varshamov (GV) bound serves as a crucial benchmark for evaluating quantum code parameters. As the code length increases, we construct binary and non-binary EACQCs that exceed the quantum GV bound. Index Terms-entanglement-assisted quantum error-correction code, entanglement-assisted concatenated quantum codes, quan-tum Gilbert-Varshamov bound © 2024 IEEE.

关键词： Quantum entanglement

来源：评论

学校读者我要写书评

暂无评论

Enhancing Gastrointestinal Image Classification: A Fusion of CNN and Vision Trasformers 2

Enhancing Gastrointestinal Image Classification: A Fusion of...

引用

2nd IEEE International Conference on Contemporary computing and Communications, InC4 2024

作者： Ganesh, Bachu Annamalai, R. Jayapal, Senthil Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Chennai India Collage of Computing and Information Science University of Technology and Applied Sciences Ibra Oman

ISBN: (纸本)9798350383652

In order to meet the pressing demand for early diagnosis in healthcare, we proposed a unique hybrid architecture in this study that is intended for the categorization of gastrointestinal (GI) illnesses. With fewer trainable parameters, faster training times, and less storage needed for model weights, our suggested architecture prioritizes efficiency achieves an impressive 94% accuracy. To effectively diagnose GI disorders, this design combines convolutional neural networks (CNNs) with Transformers. The creation of this hybrid architecture, which boasts excellent accuracy in illness categorization, decreased storage requirements, and efficiency in training, is one of the research's accomplishments. Our proposed model demonstrates its flexibility for many uses, encouraging simple implementation and expandability. Extensive tests performed on a large dataset of endoscopic images highlight our hybrid architecture's better performance over current techniques. With this study, diagnostics for gastrointestinal diseases have advanced significantly, opening the door to future diagnostic systems that will be more precise and effective. The proposed architecture has outperformed the traditional pre-trained models both in classification accuracy and time to train the model with no weights. © 2024 IEEE.

关键词： Endoscopy

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：