检索结果-内蒙古大学图书馆

Centroid-based clustering validity: method and application to quantification of optimal cluster-data space

Soft Computing 2024年第19期28卷 10853-10872页

作者： Nguyen, Sy Dzung Laboratory for Computational Mechatronics Institute for Computational Science and Artificial Intelligence Van Lang University Ho Chi Minh Viet Nam Faculty of Mechanical - Electrical and Computer Engineering School of Technology Van Lang University Ho Chi Minh Viet Nam

Evaluation of clustering validity to set up an optimal cluster-data space (CDS) is a vital task in many fields related to data mining. Almost existing clustering validity indexes (CVIs) lack stability due to being too sensitive to noise, especially impulse noise. Here, we (1) propose a new CVI named DzI (Dzung Index) or fRisk2 using analysis of fuzzy-set-based accumulated risk degree (FARD), and (2) present a new algorithm named fRisk2-bA for determining the optimal number of data clusters. It is a method of evaluation of the centroid-based fuzzy clustering validity. In essence, the fRisk2 still focuses on enhancing the data compression in each cluster and expanding the separation between cluster centroids. However, these features are exploited indirectly through FARD. As a result, the proposed method not only can avoid the difficulties of the traditional ones relying on the compression and separation properties directly but also can distill better local and global attributes in the data distribution to estimate the CDS more fully. Along with the proved theory basis, surveys, including the ones based on noisy datasets from measurements, showed the compared advantages of fRisk2 as follows. (1) The accuracy, stability, and convergence of the fRisk2 are outstanding. (2) Its total calculating cost is lower than the other surveyed CVIs. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Fuzzy clustering

来源：评论

学校读者我要写书评

暂无评论

TCAD Based Study of String Current Variability in 3D NAND Flash Memory 38

TCAD Based Study of String Current Variability in 3D NAND Fl...

引用

38th International Conference on VLSI Design, VLSID 2025

作者： Mahapatra, Mrinmoy Kekarjawlekar, Prathamesh Ganesh Akshay, K. School of Electrical and Computer Sciences Indian Institute of Technology Bhubaneswar Odisha Khordha752050 India School of Minerals Metallurgical and Materials Engineering Indian Institute of Technology Bhubaneswar Odisha Khordha752050 India

ISBN: (纸本)9798331522445

3D NAND memory has become indispensable for high-density data storage, offering superior scalability and cost-efficiency. However, with shrinking memory cell sizes and increasing cell densities, precise control over fabrication parameters is crucial for optimal performance in advanced memory applications. The variability in string current is a significant concern for device performance and reliability. This paper employs Technology computer-Aided Design (TCAD) simulations to investigate the impact of the dimensional variations on the string current, which subsequently alters the critical electrical properties of 3D NAND flash memory cells. We investigate variations in cell spacing, tunneling and blocking oxide thickness and channel thickness, that result due to process variations during etching, deposition and lithography. Our study assesses the impact of these factors on critical performance metrics, including on-current (Ion), threshold voltage (Vth), maximum trans-conductance value (Gm) and sub-threshold slope (SS) of memory cells. The results indicate that changes in the plug depth have a negligible effect on the electrical parameters, while variations in cell spacing have a significant impact on these metrics. Under a worst-case 20% process variation in all dimensions, Ion, Vth}}, Gm and SS deviate by approximately 78%, 21%, 38% and 14%, respectively. These results emphasize the need for precise fabrication control and variability-aware design to maintain the reliability and efficiency of high-density 3D NAND memory in advanced applications. © 2025 IEEE.

关键词： Threshold voltage

来源：评论

学校读者我要写书评

暂无评论

A Multiagent Reinforcement Learning-Assisted Cache Cleaning Scheme for DM-SMR

A Multiagent Reinforcement Learning-Assisted Cache Cleaning ...

引用

作者： Shen, Zhaoyan Yang, Yuhan Pan, Yungang Zhang, Yuhao Jia, Zhiping Cai, Xiaojun Li, Bingzhe Shao, Zili Shandong University School of Computer Science and Technology Qingdao266200 China Linköping University Department of Computer and Information Science Linköping581 83 Sweden Oklahoma State University School of Electrical and Computer Engineering StillwaterOK74074 United States The Chinese University of Hong Kong Department of Computer Science and Engineering Kowloon Tong Hong Kong

To support nonsequential writes, persistent cache (PC) is constructed in drive managed SMR (DM-SMR) drive. However, PC cleaning introduces drastic performance degradation and enlarges tail latencies. In this article, we propose to utilize reinforcement learning (RL) to mitigate the long-tail latency of PC cleaning. Our scheme uses the lightweight Q -learning method to monitor and learn the idle time of I/O workloads, based on which PC cleaning is intelligently guided, thus maximally exploit idle time between requests and hiding tail latency from normal requests. In addition, a multiagent RL scheme with clustering algorithm is adopted to further mitigate the tail latencies and adapt to variable workloads. We emulate a DM-SMR drive inside a Linux device driver to implement our proposed scheme. According to the experimental results, our scheme can effectively reduce the tail latency by 59.45% at the 99.9th percentile and the average latency by 48.75% compared with a typical shingled magnetic recording (SMR) design. © 1982-2012 IEEE.

关键词： Clustering algorithms

来源：评论

学校读者我要写书评

暂无评论

LBIST Configuration and Golden Signature Extraction of Black Box IP Cores

LBIST Configuration and Golden Signature Extraction of Black...

引用

East-West Design & Test Symposium (EWDTS)

作者： Fatemeh Mohammadzadeh Zeynab Sanati Najar Zainalabedin Navabi School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran

ISBN: (数字)9798331515768

ISBN: (纸本)9798331515775

Due to the ever-growing use of IP cores in safetycritical applications such as the automotive industry and the varying use cases of every customer, testing these IP cores in alignment with functional safety constraints becomes crucial. Hardware Built-In Self-Test (BIST) methods are commonly employed in such designs, and to efficiently test them, a certain degree of configuration is necessary. We are proposing a method to protect IP cores by not revealing internal hardware to prevent counterfeiting and reverse engineering while enabling flexible examination of diverse test strategies. To prevent inefficient blind configuration of the test hardware, it is crucial to provide information about how configuration impacts test coverage. This work proposes utilizing C++ dynamic libraries to represent an IP core and configure the test hardware model for various testing purposes along with developing gate models that implement an estimation method for test coverage.

关键词： Industries Reverse engineering Estimation Logic gates Built-in self-test Hardware Libraries Safety IP networks Vehicle dynamics

来源：评论

学校读者我要写书评

暂无评论

Blockchain Based Enhanced ERP Transaction Integrity Architecture and PoET Consensus

引用

computers, Materials & Continua 2022年第1期70卷 1089-1109页

作者： Tehreem Aslam Ayesha Maqbool Maham Akhtar Alina Mirza Muhammad Anees Khan Wazir Zada Khan Shadab Alam Department of Computer Engineering National University of Sciences and TechnologyIslamabad44000Pakistan Department of Electrical Engineering National University of Sciences and TechnologyIslamabad44000Pakistan Department of Management Studies Bahria Business SchoolIslamabad44000Pakistan Department of Computer Science Capital University of Science and TechnologyIslamabad44000Pakistan Department of Computer Science College of Computer Science and ITJazan UniversityJazan67714Saudi Arabia

Enterprise Resource Planning(ERP)software is extensively used for the management of business *** offers a system of integrated applications with a shared central *** all business-critical information in a central place raises various issues such as data integrity assurance and a single point of failure,which makes the database *** paper investigates database and Blockchain integration,where the Blockchain network works in synchronization with the database system,and offers a mechanism to validate the transactions and ensure data *** research exists on Blockchain-based solutions for the single point of failure in *** established in our study that for concurrent access control andmonitoring of ERP,private permissioned Blockchain using Proof of Elapsed Time consensus is more *** study also investigated the bottleneck issue of transaction processing rates(TPR)of Blockchain consensus,specifically ERP’s *** paper presents systemarchitecture that integrates Blockchain with an ERP system using an application interface.

关键词： Transaction security enterprise systems blockchain transaction integrity hyperledger sawtooth PoET consensus

来源：评论

学校读者我要写书评

暂无评论

Design oligoporous-core based multimode fiber for mode division multiplexing applications

引用

Optical and Quantum Electronics 2025年第5期57卷 1-24页

作者： Mitu, Sumaiya Akhtar Abdulrazak, Lway Faisal Ibrahim, Sobhy M. Tahhan, Shaymaa R. Hossain, Md Bellal Ahmed, Kawsar Bui, Francis M. Chen, Li Department of Computer Science and Engineering University of Asia Pacific 74/A Green Rd Dhaka1205 Bangladesh Department of Information and Communication Technology Group of Bio-photomatiχ Mawlana Bhashani Science and Technology University Tangail Santosh1902 Bangladesh Department of Computer Science Cihan University Sulaimaniya Kurdistan Region Sulaimaniya46001 Iraq Department of Biochemistry College of Science King Saud University P.O. Box: 2455 Riyadh11451 Saudi Arabia Department of Laser and Optoelectronics Engineering College of Engineering Al-Nahrain University Jadriya Baghdad64074 Iraq School of Electrical and Information Engineering The University of Sydney SydneyNSW Australia Department of Electrical and Computer Engineering University of Saskatchewan 57 Campus Drive SaskatoonSKS7N 5A9 Canada Health Informatics Research Lab Department of Computer Science and Engineering Daffodil International University Daffodil Smart City Birulia Dhaka1216 Bangladesh

A polarization-maintaining oligoporous-core-based multi-mode fiber is proposed. By tuning the air hole, as well as the core number, shape, size, and position up to 28 distinct linearly polarized (LP) modes are obtained. The Finite Element Method (FEM) is used to perform the numerical investigations. In addition, various materials combinations are used as a doping with silica which is highly helpful to increase or decrease the refractive index of the core material. The multimode fiber is identified by the normalized frequency or V parameter. Besides, the high birefringence value, low loss value, minimum crosstalk with high sensitivity response of 1.46×10-2, 2×10-11dB/m, 41.80 dB and 88,280.46 nm/RIU, respectively, are achieved from the numerical investigations over the wavelength range from 1.55 µm to1.65 µm for the different LP modes. Moreover, good responses also obtain for the numerical aperture, V number, coupling length and other parameters. In the end, every value reveals both an easy-to-fabricate structure design as well as adequate performance analysis. The suggested fiber structure can support many modes and might be applicable in the field of optical communications and spatial multiplexing based on the user demand. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.

关键词： Fiber to the x

来源：评论

学校读者我要写书评

暂无评论

A Multi-Task Learning Framework for Joint Sub-Nyquist Wideband Spectrum Sensing and Modulation Recognition

引用

China Communications 2025年第1期22卷 128-138页

作者： Dong Xin Stefanos Bakirtzis Zhang Jiliang Zhang Jie Department of Electronic and Electrical Engineering University of SheffieldSheffield S102TNUnited Kingdom Department of Computer Science and Technology University of CambridgeCambridge CB21TNUnited Kingdom College of Information Science and Engineering Northeastern UniversityShenyang 110819China Ranplan Wireless Network Design Ltd. Cambridge CB233UYUnited Kingdom

The utilization of millimeter-wave frequencies and cognitive radio(CR)are promising ways to increase the spectral efficiency of wireless communication ***,conventional CR spectrum sensing techniques entail sampling the received signal at a Nyquist rate,and they are not viable for wideband signals due to their high *** paper expounds on how sub-Nyquist sampling in conjunction with deep learning can be leveraged to remove this *** this end,we propose a multi-task learning(MTL)framework using convolutional neural networks for the joint inference of the underlying narrowband signal number,their modulation scheme,and their location in a wideband *** demonstrate the effectiveness of the proposed framework for real-world millimeter-wave wideband signals collected by physical devices,exhibiting a 91.7% accuracy in the joint inference task when considering up to two narrowband signals over a wideband ***,the proposed data-driven approach enables on-the-fly wideband spectrum sensing,combining accuracy,and computational efficiency,which are indispensable for CR and opportunistic networking.

关键词： automated modulation classification cognitive radio convolutional neural networks deep learning spectrum sensing sub-Nyquist sampling

来源：评论

学校读者我要写书评

暂无评论

Machine Learning Based Enhanced Remote Power Analysis Attacks 5

Machine Learning Based Enhanced Remote Power Analysis Attack...

引用

5th International Conference on Advanced Research in Computing, ICARC 2025

作者： Kasthuripitiya, Ishan Ariyawansha, Jeewantha Ranasinghe, Tharindu Sandirigama, Manjula Jayasinghe, Darshana University of Peradeniya Department of Computer Engineering Peradeniya Sri Lanka The University of Sydney School of Electrical and Computer Engineering Sydney Australia

ISBN: (纸本)9798331530983

Remote Power Analysis (RPA) attacks have demonstrated the ability to reveal secret keys from cryptographic implementations. RPA attacks have been demonstrated on Advanced Encryption Standard (AES) circuits running on Field Programmable Gate Arrays (FPGAs). Thus far, RPA attacks were conducted using classical attacks such as correlation power analysis attacks (CPA).This paper presents a comprehensive study on the application of machine learning (ML) algorithms to improve the efficacy of RPA attacks against AES. We explore the integration of Convolutional Neural networks (CNNs) and Multi-Layer Perceptrons (MLPs) within the state-of-the-art AISY framework (initially proposed for classical power analysis attacks) to detect and exploit RPA vulnerabilities in AES-encrypted FPGA systems. The proposed methodology involves capturing power traces using a Time-to-Digital Converter (TDC) on-chip sensor during AES operations and then using MLP and CNN models to conduct RPA attacks to evaluate security. We demonstrate that ML-enhanced RPAs can significantly increase attack success rates while requiring fewer data samples. Our results show that CNN-based RPA attacks can reveal the secret within 10,000 traces. The research underscores the need for ongoing innovation in cryptographic defences to counteract the evolving threat landscape. © 2025 IEEE.

关键词： Side channel attack

来源：评论

学校读者我要写书评

暂无评论

An Effective Analysis of Predicting Clothes types in E-commerce reviews using CatBoost Algorithm with Extreme Gradient Boosting Classifier 2

An Effective Analysis of Predicting Clothes types in E-comme...

引用

2nd International Conference Computational and Characterization Techniques in engineering and Sciences, IC3TES 2024

作者： Sai Varshith, Pabbisetty Venkata Parthipan, V. Saveetha Institute of Medical and Technical Sciences Saveetha University Saveetha School of Engineering Department of Computer Science and Engineering Tamil Nadu Chennai India Saveetha University Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Big Data and Network Security Tamil Nadu Chennai India

ISBN: (纸本)9798350364699

The purpose of this study is to determine whether the Catboost algorithm is superior to the Extreme Gradient Boosting Classifier (XGBoost) method in terms of its ability to generate predictions about the sorts of clothing based on evaluations from online retailers. This study contains 2 groups: Novel Catboost algorithm and Extreme Gradient Boosting Classifier, where each group is iterated for a sample size of 10 calculated using the ClinCalc software with 0.05 as the alpha value, and a CI of 95%. The e-commerce reviews dataset with a size of 23485 was considered from ***. The novel catboost algorithm accuracy is 92%, which appears to be superior to the XGBoost classifier's accuracy of 89%. It can be concluded that there exists a statistically significant distinction between the CatBoost algorithm and the XGBoost classifier algorithm. This is evidenced by a value of p=0.007 (Independent sample t-test p © 2024 IEEE.

关键词： Marketplaces

来源：评论

学校读者我要写书评

暂无评论

High-quality distractor generation framework for English reading comprehension 5

High-quality distractor generation framework for English rea...

引用

5th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2023

作者： Guo, Zhengrong Wang, Hui Guo, Gongde Fujian Normal University College of Computer and Cyberspace Security Fujian Fuzhou China Queen's University Belfast School of Electronics Electrical Engineering and Computer Science Belfast United Kingdom

ISBN: (纸本)9798350357738

Distractors are widely used in tasks such as reading comprehension and subject education. Generating high-quality distractors automatically poses a challenging task. Existing frameworks for generating distractors in the context of English reading comprehension primarily rely on training deep neural networks with given passages, questions, and corresponding answers. However, in more difficult questions, these frameworks often produce distractors with low levels of distraction, limiting their practical applications. To address this issue, we propose a framework called 'Generating Distractors Framework with High Distraction' (GDF-HD) that automatically generates high-distraction distractors. The GDF-HD framework categorizes common English reading comprehension questions into three types: detail questions, summary questions, and inference questions. Different question types utilize distinct approaches for generating distractors, and the framework enhances the distraction of these distractors from both syntactic and semantic perspectives. To validate the feasibility and effectiveness of our framework, we conduct experiments and evaluations using the RACE dataset. Additionally, we employ manual assessments to evaluate the quality and distraction levels of the generated distractors. The experimental results demonstrate that the GDF-HD framework is capable of producing high-quality distractors and significantly increasing their distraction levels. © 2023 IEEE.

关键词： Semantics

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：