检索结果-内蒙古大学图书馆

2021 International Conference on Communication, Control and Information Sciences, ICCISc 2021

作者： Sahu, Ankit Sanjeevi, Sriram G. National Institute of Technology Dept. of Computer Science and Enginnering WarangalTelangana India

ISBN: (纸本)9781665412797

Recent work in abstractive text summarization using pre-Trained transformers has achieved great results. Much of the work has been done on the model architectures and designing pre-Training objectives. Models used for NLP tasks have grown bigger and increasing the model's size doesn't always improve the performance of the task. In this work we improve the results of an existing model by incorporating a new fine-Tuning strategy which closely resembles how a human would summarize by a piece of text i.e. by focusing on important fragments of the text. We used PEGASUS model to work on our fine-Tuning strategy. We fine-Tune the model with varying ratios of important sentences in a phased manner and achieve improved ROUGE scores with an additional few thousand steps of fine-Tuning. We fine-Tune the model on AESLC and CNN/DailyMail dataset and achieve better ROUGE scores on both the datasets. With our proposed fine-Tuning method, we get state-of-The-Art results on the AESLC dataset. We also achieve better performance when fine-Tuning with a limited number of examples with our fine-Tuning method on AESLC dataset. © 2021 IEEE.

关键词： Focusing Data mining Task analysis

来源：评论

学校读者我要写书评

暂无评论

Vision Transformer-based Automatic Detection of COVID-19 in Chest X-ray Images

Vision Transformer-based Automatic Detection of COVID-19 in ...

引用

Electrical, Energy, and Artificial Intelligence (EICEEAI), International Engineering Conference on

作者： Mustafa Yurdakul Şakir TAŞDEMİR Computer Engineering Dept. Engineering Faculty Kırıkkale University Kırıkkale Turkey Computer Engineering Dept. Technology Faculty Selçuk University Konya Turkey

ISBN: (数字)9798350373363

ISBN: (纸本)9798350373370

The COVID-19 virus, which first emerged in the city of Wuhan in China, rapidly spread across the globe due to its high contagiousness. Detecting the virus early is crucial to stop its spread and to provide timely treatment to affected individuals. Chest X-ray (CXR) images are a quick, cost- effective, and non-invasive method commonly used for the diagnosis of COVID-19. CXR images are manually inspected by experts for diagnosis. However manually detection is not only time-consuming but also prone to errors due to human fatigue. For these reasons, there is an urgent need for a system that can detect COVID-19 from CXR images. In this study, the Vision Transformer (ViT) model was used to classify Normal, Pneumonia, and COVID-19 from CXR images. Experimental results show that the Vision Transformer (ViT) possesses a robust and high generalization capability, with an accuracy rate of 97%, indicating its significant potential in medical image analysis.

关键词： COVID-19 Electric potential Accuracy Image analysis Pneumonia Urban areas Transformers

来源：评论

学校读者我要写书评

暂无评论

TETRIS: Optimal Draft Token Selection for Batch Speculative Decoding

arXiv

引用

arXiv 2025年

作者： Wu, Zhaoxuan Zhou, Zijian Verma, Arun Prakash, Alok Rus, Daniela Low, Bryan Kian Hsiang Singapore-MIT Alliance for Research and Technology Singapore Dept. of Computer Science National University of Singapore Singapore CSAIL Massachusetts Institute of Technology United States

We propose TETRIS, a novel method that optimizes the total throughput of batch speculative decoding in multi-request settings. Unlike existing methods that optimize for a single request or a group of requests as a whole, TETRIS actively selects the most promising draft tokens (for every request in a batch) to be accepted when verified in parallel, resulting in fewer rejected tokens and hence less wasted computing resources. Such an effective resource utilization to achieve fast inference in large language models (LLMs) is especially important to service providers with limited inference capacity. Compared to baseline speculative decoding, TETRIS yields a consistently higher acceptance rate and more effective utilization of the limited inference capacity. We show theoretically and empirically that TETRIS outperforms baseline speculative decoding and existing methods that dynamically select draft tokens, leading to a more efficient batch inference in LLMs. © 2025, CC BY-SA.

关键词： Decoding

来源：评论

学校读者我要写书评

暂无评论

Digit-Size Selection for FPGA Implementation of Generic Digit-Serial Multiplication Over GF(2m)

Digit-Size Selection for FPGA Implementation of Generic Digi...

引用

Circuits, Power and Intelligent Systems (CCPIS), International Conference on

作者： Dibakar Pradhan Bimal Kumar Meher Pramod Kumar Meher Dept. of Computer Science & Engg. Silicon Institute of Technology Bhubaneswar India Dept. of Computer Science & Engg. C.V. Raman Global University Bhubaneswar Odisha

Multiplications over the Galois field GF $(2^{m})$ are widely used for the realization of point operations in the elliptic curve cryptosystem (ECC). Implementation of these multipliers for resource-constrained applications possesses a significant research challenge. Efficient implementation of field multiplication is therefore an important area of research. We present here the design of generic digit-serial multipliers for GF $(2^{m})$ and coded those using VHDL for different values of field order and different digit-sizes. We have synthesized the design using Xilinx ISE Design Suite version 14.4 and estimated the FPGA resource consumption such as the number of slice LUTs and slice registers, as well as, the minimum clock period required for different digit sizes for three different values of field order, such as $m=64,193$ , and 239. Besides, we have estimated the minimum computational delay and slice-delay product for different digitsizes and different field orders in order to determine the digit size to be used for the minimum usage of LUT slices, the minimum delay, and the minimum slice-delay product. Interestingly, we find that for the digit-size, $w=16$ the computational delay is the lowest for different field orders. It is observed that the number of slices and slice-delay product are minimum in the case of bitserial architectures for different values of the field order $m$ .

关键词：

来源：评论

学校读者我要写书评

暂无评论

Risk Assessment and Safety-as-a-Service Provisioning in IoV Networks: A Roadmap

Risk Assessment and Safety-as-a-Service Provisioning in IoV ...

引用

Global Conference for Advancement in technology (GCAT)

作者： Patrali Pradhan Samiran Chattopadhyay Subrata Chowdhury Suchismita Rout Manoj Ranjan Mishra Sudhansu Shekhar Patra Dept. of Computer Science and Engineering Haldia Institute of Technology Haldia India Techno India University Kolkata India Dept. of Computer Science and Engineering Sreenivasa Institute of Tech. and Management Studies Chittoor Andhra Pradesh India School of Computer Engineering KIIT Deemed to be University Bhubaneswar India School of Computer Applications KIIT Deemed to be University Bhubaneswar India

ISBN: (数字)9798350376685

ISBN: (纸本)9798350376692

This paper presents a framework for a Safety recommender system that offers Safety-as-a-Service (Safe-aaS) to on-road vehicles in IoT-based transportation systems. The proposed safety recommendation system integrates several phases, including preparing sensed data, self-supervised learning from the data, and predicting personalized safety plans. The customized safety plans, generated by analyzing on-road decision parameters such as dynamic road conditions, weather patterns, and driving assistance parameters, are suggested to registered users in real time through the Safe-aaS platform tailored to their specific *** a Safe-aaS enabled road transportation system, sensor nodes produce large volumes of data in a dynamic environment. Efficient analysis and storage of sensed data in edge devices poses a major challenge for service providers. Conversely, generating safety-related decisions with lower processing time ensures driver safety. The Safe-aaS-based recommender system provides safety-related decisions with low latency and processing delay. In the proposed recommendation system, a safety score is computed from the pre-processed sensed data across various parameters, followed by a user-specific similarity score and a corresponding risk score. We apply a fuzzy rule-based learning technique to predict optimized safety plans. To showcase the real-time scenario of our framework, we develop a user-friendly application interface at the primary stage. Extensive analysis shows that our system effectively detects on-road risks and adapts safety recommendations in dynamic weather and road conditions.

关键词： Roads Self-supervised learning Real-time systems Safety Risk management Vehicle dynamics Low latency communication Recommender systems Optimization Meteorology

来源：评论

学校读者我要写书评

暂无评论

Live Audio Recognition and Text Conversion System

Live Audio Recognition and Text Conversion System

引用

Computational Intelligence, Communication technology and Networking (CICTN), International Conference on

作者： Pratyaksha Sharma Sumita Gupta Boddu Asmitha Bhavya Khushi Sharma Saru Dhir Sapna Gambhir Department of Computer Science & Engineering Amity School of Engineering & Technology Amity University UP Department of Information Technology Amity School of Engineering & Technology Amity University UP Dept. of Computer Science College of Engineering and Computing George Mason University USA

ISBN: (数字)9798331530389

ISBN: (纸本)9798331530396

With the advancement of technologies, different methods are currently being used for converting spoken language into text. These systems offer a hands-free alternative to traditional input methods, especially for individuals with physical disabilities or those requiring efficient documentation of spoken content. The goal of this study is to review recent advancements in this field and highlight gaps in current research, with a focus on accuracy, language adaptability, ease of use, and the integration of various technologies. We also suggest future directions for enhancing and developing this technology further.

关键词： Accuracy Text recognition Reviews Hidden Markov models Speech recognition Machine learning Documentation Natural language processing Communications technology Computational intelligence

来源：评论

学校读者我要写书评

暂无评论

Intelligent Manufacturing Education and Tutoring Experimental Platform Studies Based on Reconfigurable Module

Intelligent Manufacturing Education and Tutoring Experimenta...

引用

Information and Communication Engineering (JCICE), International Joint Conference on

作者： Dandan Lu Shiyan Liang Min Wang Yinling Wang Dongxuan Han Yao Cheng Dept. Engineering Technology Center Southwest University of Science and Technology Mianyang China Dept. College of Computer Science and Technology Southwest University of Science and Technology Mianyang China

Given the disconnection between the experimental content and the theory in the experimental project in the field of control engineering education, and the experimental process only stays at the level of virtual simulation and small development kit, we propose an intelligent manufacturing teaching assistant experimental platform based on the reconfigurable module. The “intelligence + reconfigurable modularization” experimental module is designed by simulating the industrial production line, and a high-fidelity experimental platform for control engineering education is assembled. We describe in detail the design and implementation process of the teaching assistant experimental platform and expound on the experimental project’s task design, technological revolution, and program design through a case study, which shows that the teaching auxiliary experimental platform is closely integrated with engineering practice. It is proved that students can acquire industrial technical ability from the experimental platform and improve their systematic cognitive ability in the manufacturing system.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Motion Sickness Alleviation Based on a Mindfulness Brain-computer Interface

Motion Sickness Alleviation Based on a Mindfulness Brain-Com...

引用

International Workshop on Advanced Computational Intelligence (IWACI)

作者： Jiawei Zhu Xiaoyu Bao Qiyun Huang Tao Wang Li Huang Yupeng Han Kendi Li Di Chen Kailin Xu Zijian Wang Ya Jiang Yuanqing Li Dept. School of Automation Science and Engineering South China University of Technology Dept. Research Center for Brain–Computer Interface Pazhou Laboratory Guangzhou China Huizhou Desay SV Automotive Co. Ltd. Huizhou China Dept. Research Center for Brain–Computer Interface Pazhou Laboratory South China Brain-Computer Interface Technology Co. Ltd. Guangzhou China

ISBN: (数字)9798350308501

ISBN: (纸本)9798350308518

Motion sickness is a common affliction that affects nearly half of the global population and poses challenges to comfortable travel experiences, necessitating diverse intervention strategies. Pharmacological interventions have shown promise but present limitations due to side effects. To date, there is no non- pharmacological alleviation method for motion sickness that has been proven effective in a large population. In this study, we developed a novel mindfulness brain-computer interface (mindfulness BCI) for alleviation of motion sickness. Thirty-one subjects who were susceptible to motion sickness participated in our experiments in a real-world car motion environment. The experimental results demonstrated that the proposed mindfulness BCI can effectively alleviate motion sickness symptoms, where more than 90% of subjects reported the effectiveness of the mindfulness BCI system and a significant reduction of Motion Sickness Susceptibility Questionnaire (MISC) scores was obtained when comparing the BCI-based meditation state with the resting state for the subjects (t 30 =4.968, P<0.001). To the best of our knowledge, our mindfulness BCI is the first effective non- pharmacological alleviation method for motion sickness as demonstrated by a strict test.

关键词： Training Sociology Motion sickness Motors Brain-computer interfaces Automobiles Statistics

来源：评论

学校读者我要写书评

暂无评论

Asynchronous Complete Visibility Algorithm for Luminous Robots on Grid

Asynchronous Complete Visibility Algorithm for Luminous Robo...

引用

International Symposium on Computing and Networking Workshops (CANDARW)

作者： Yonghwan Kim Yoshiaki Katayama Koichi Wada Dept. of Computer Science Nagoya Institute of Technology Nagoya Japan Dept. of Applied Informatics Hosei University Tokyo Japan

An autonomous mobile robot system is a distributed system consisting of mobile computational entities (called robots) that autonomously and repeatedly perform three operations: Look, Compute, and Move. Various problems related to autonomous mobile robots, such as gathering, pattern formation, or flocking, have been extensively studied to understand the relation between each robot’s capabilities and the solvability of these problems. In this study, we focus on the complete visibility problem, which involves relocating all the robots on an infinite grid plane so that each robot is visible to every other robot. We assume that each robot is a luminous robot (i.e., has a light with a constant number of colors) and opaque (not transparent). In this paper, we propose an algorithm to achieve complete visibility (i.e., every robot can observe all the other robots) when a set of robots is given. The algorithm ensures that complete visibility is achieved even when robots operate asynchronously and have no knowledge of the total number of robots on the grid plane using only two colors.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Duality and LP Bounds for Codes with Locality

Duality and LP Bounds for Codes with Locality

引用

IEEE (first ITW conference of the year) Information Theory Workshop (ITW)

作者： Anina Gruica Benjamin Jany Alberto Ravagnani Dept. of Mathematics and Computer Science Eindhoven University of Technology Eindhoven The Netherlands Dept. of Mathematics University of Kentucky Lexington USA

We initiate the study of the duality theory of locally recoverable codes, with a focus on the applications. We characterize the locality of a code in terms of the dual code, and introduce a class of invariants that refine the classical weight distribution. In this context, we establish a duality theorem analogous to (but very different from) a MacWilliams identity. As an application of our results, we obtain two new bounds for the parameters of a locally recoverable code, including an LP bound that improves on the best available bounds in several instances.

关键词：

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：