检索结果-内蒙古大学图书馆

Proceedings - ISCC 2004, Ninth International Symposium on computers and Communications

作者： Chilamkurti, Naveen K. Soh, Ben Aitham, Anil Applied Computing Research Institute Department of Computer Science La Trobe University Melbourne 3086 Australia

Priority dropping mechanism (PDM) to random early detection (RED) algorithm to protect the video layers selectivity from performance and throughput deterioration was applied. A receiver oriented multicast congestion control algorithm SPLIT was introduced. A packet classification scheme (PCS) implemented in SPLIT makes all lost packets concentrated in video layers of lower priority. It was shown that with varying queue length packet loss in the Base high layer less when compared to the remaining enhancement high layers.

关键词： Network protocols

来源：评论

学校读者我要写书评

暂无评论

A simulation study on a layered video multicast algorithm

A simulation study on a layered video multicast algorithm

引用

23rd IEEE International Performance, computing, and Communications Conference, Conference Proceedings, IPCCC 2004

作者： Chilamkurti, Naveen K. Soh, Ben Applied Computing Research Institute Department of Computer Science La Trobe University Melbourne 3083 Australia

A study on layered video multicast algorithm, one of the most important Internet application is discussed. A challenging problem for video multicast is heterogeneity and scalability of the Internet. The availability to transmit live video, such as video conferencing and telecommuting, is expected to open up new opportunities for multicast video. Since network conditions are dynamic and there is no quality of service guarantee in the current Internet technology, bandwidth adaptation becomes very essential for video distribution over the Internet. Various solutions are also proposed to improve the QoS in IP-based networks.

关键词： Multicasting

来源：评论

学校读者我要写书评

暂无评论

A new multicast protocol using packet pair and core stateless mechanism for multimedia applications

A new multicast protocol using packet pair and core stateles...

引用

Proceedings of the Seventh IASTED International Conference on Internet and Multimedia Systems and Applications

作者： Papzis, Kon Chilamkurti, Naveen K. Soh, Ben Applied Computing Research Institute Department of Computer Science La Trobe University Melbourne 3086 Australia

ISBN: (纸本)0889863806

One of the drawbacks of using PLM (Packet-pair Layered Multicast) protocol is that it only operates in a network that exhibits a Fair Scheduler paradigm, where Fair Queue (FQ) algorithm is implemented in routers that maintain separate queues for packets from each individual source. This gives rise to the complexity of per-flow management, which incurs costs and overheads. To reduce the complexity, we propose in this paper a framework called Stateless Core (SCORE) network architecture for transmission of multicast layers via an integrated PLM/CSFQ (Core Stateless Fair Queueing) packet-pair mechanism. The proposed model reduces the number of routers performing per-flow management, thus reducing costs. We then evaluate the scalability of the integrated PLM/ CSFQ queueing mechanism using the NS-2 network simulator. The results from the experiments show that the integrated PLM/CSFQ scales well with the increased number of receivers joining the same session, in terms of being TCP friendly, bandwidth allocation and packet losses sustained.

关键词： Multimedia systems

来源：评论

学校读者我要写书评

暂无评论

Network based filtering architecture on a shared multicast tree

Network based filtering architecture on a shared multicast t...

引用

IASTED International Conference on Networks and Communication Systems 2006

作者： Singh, Jaipal Veeraraghavan, Prakash Singh, Samar Applied Computing Research Institute Department of Computer Science and Computer Engineering La Trobe University Vic. 3086 Australia

ISBN: (纸本)0889865906

This paper introduces a shared tree multicast filter that uses labels to create one-to-one, one-to-many and many-to-many communication on an existing multicast tree. All the receivers wishing to communicate privately will be connected virtually by a label to form a subtree within an existing multicast tree. The data packet is sent to the receivers on paths identified by the label. A label manager on the tree will create and manage these labels. This paper describes the benefits of using our filter architecture compared to creating a new multicast tree or using another proposed filter architecture.

关键词： Signal filtering and prediction

来源：评论

学校读者我要写书评

暂无评论

Efficacious Routing Approaches in Vehicular Ad hoc Network: An Empirical Study 1

Efficacious Routing Approaches in Vehicular Ad hoc Network: ...

引用

1st International Conference on Advances in Electrical, Electronics and Computational Intelligence, ICAEECI 2023

作者： Janet Kumari, J Jesy Thangam, S. Raja, A. Saleem Amrita Vishwa Vidhyapeetham Amrita School of Computing Bengaluru Department of Computer Science and Engineering India University of Technology and Applied Science-Shinas Department of Computer Science and Engineering Oman

ISBN: (纸本)9798350342796

VANET, or Vehicular Ad hoc Network is a transient wireless structure made up of different kinds of vehicles serving as network hubs and the links between them acting as links. VANET is an improving mechanism that has received an amount of growth in the fields of research, academia, and business. A VANET is a mobile network that uses vehicles as terminals. VANETs, similar to spontaneous systems, possess all the main features of independent connectivity, including processing and preservation constraints. To improve safety while driving and other services, a network of VANETs can be established. The effectiveness of VANETs has been demonstrated in numerous real-world applications, such as traffic management and driver-assist systems. Information exchanged over VANETs can undoubtedly help users experience a better driving experience and prevent accidents. academia, and government. VANET is an acronym used to describe the Vehicular ad hoc network that forms over-moving vehicles on the road. Vehicle networks are rapidly emerging as a platform for creating and implementing new and classic applications. VANETs are distinguished by their high mobility, frequently changing topology, and ephemeral, one-time connections. Vehicle interruptions are common due to how dynamic and moving vehicles are at present. Clustering techniques for vehicles that arrange to increase network scalability and connection dependability as VANET introduces vehicles in groups. Subsequently, other clustering strategies and techniques also exist, and it is necessary for a wide range of situations, including information transfer, routing, and detection of accidents. The methods used for vehicle clustering techniques are examined in this study in terms of networking techniques. © 2023 IEEE.

关键词： ant colony optimization hybrid protocol proactive reactive VANET

来源：评论

学校读者我要写书评

暂无评论

MatterChat: A Multi-Modal LLM for Material science

arXiv

引用

arXiv 2025年

作者： Tang, Yingheng Xu, Wenbin Cao, Jie Ma, Jianzhu Gao, Weilu Farrell, Steve Erichson, Benjamin Mahoney, Michael W. Nonaka, Andy Yao, Zhi Applied Mathematics and Computational Research Division Lawrence Berkeley National Laboratory BerkeleyCA United States National Energy Research Scientific Computing Center Lawrence Berkeley National Laboratory BerkeleyCA United States NSF National AI Institute for Student-AI Teaming University of Colorado at Boulder Boulder United States Institute for AI Industry Research Tsinghua University Beijing China Department of Electrical and Computer Engineering The University of Utah Salt Lake CityUT United States Scientific Data Division Lawrence Berkeley National Laboratory BerkeleyCA United States International Computer Science Institute BerkeleyCA United States Department of Statistics University of California at Berkeley BerkeleyCA United States

Understanding and predicting the properties of inorganic materials is crucial for accelerating advancements in materials science and driving applications in energy, electronics, and beyond. Integrating material structure data with language-based information through multi-modal large language models (LLMs) offers great potential to support these efforts by enhancing human–AI interaction. However, a key challenge lies in integrating atomic structures at full resolution into LLMs. In this work, we introduce MatterChat, a versatile structure-aware multi-modal LLM that unifies material structural data and textual inputs into a single cohesive model. MatterChat employs a bridging module to effectively align a pretrained machine learning interatomic potential with a pretrained LLM, reducing training costs and enhancing flexibility. Our results demonstrate that MatterChat significantly improves performance in material property prediction and human-AI interaction, surpassing general-purpose LLMs such as GPT-4. We also demonstrate its usefulness in applications such as more advanced scientific reasoning and step-by-step material synthesis. © 2025, CC BY.

关键词： Materials properties

来源：评论

学校读者我要写书评

暂无评论

Correction to: Optimal Location Identification of Solar PV Systems in Distributed Generators Based on Prediction of Load Flow and Factor Using Rule Based Deep Learning Algorithm (Journal of Electrical Engineering & Technology, (2025), 20, 3, (1269-1281), 10.1007/s42835-024-02063-8)

引用

Journal of Electrical Engineering and Technology 2025年 1-1页

作者： Kolanchinathan, V.P. Aswini, K.R.N. Rajendran, Narayanasamy Chinthamani, B. Bhuvana, S. Deepa, S.N. Mohan, S.B. Shanker, N.R. Gayathri, J. Department of Electronics and Communication Engineering Veltech Hightech Dr. Rangarajan Dr. Sagunthula Engineering College Avadi Chennai India Department of Electronics and Communication Chinmaya Vishwa Vidyapeeth Kerala Ernakulam India College of Computing and Information Sciences University of Technology and Applied Sciences Nizwa United Arab Emirates Department of Electronics and Instrumentation Engineering Easwari Engineering College Ramapuram Chennai India Dr. MGR Educational and Research Institute Chennai India Department of Electrical and Electronics Engineering NIT Calicut Kerala Kozhikode India Department of Electronics and Communication Engineering S.A. Engineering College Chennai India Department of Computer Science and Engineering Alim Muhammed Salegh College of Engineering Chennai India Department of Electronics and Communication Engineering Veltech Multitech DR.RR & SR Engineering College Avadi Chennai India

In this article the affiliation details for Author J. Gayathri were incorrectly given as both affiliations 1 and 9 but should have been only affiliation 9 " department of Electronics and Communication Engineering, Veltech Multitech ***& SR Engineering College, Avadi, Chennai, India". The original article has been corrected. © The Author(s) under exclusive licence to The Korean Institute of Electrical Engineers 2025.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Malware Detection Using Decision Tree Based SVM Classifier for IoT

引用

computers, Materials & Continua 2022年第7期72卷 713-726页

作者： Anwer Mustafa Hilal Siwar Ben Haj Hassine Souad Larabi-Marie-Sainte Nadhem Nemri Mohamed K.Nour Abdelwahed Motwakel Abu Sarwar Zamani Mesfer Al Duhayyim Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Computer Science College of Science and ArtsKing Khalid UniversityMahayil AsirSaudi Arabia Department of Computer Science College of Computer and Information SciencesPrince Sultan UniversitySaudi Arabia Department of Computer Science College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia

The development in Information and Communication Technology has led to the evolution of new computing and communication *** revolution with Internet of Things(IoTs)has developed various applications in almost all domains from health care,education to entertainment with sensors and smart *** of the subsets of IoT is Internet of Medical things(IoMT)which connects medical devices,hardware and software applications through *** enables secure wireless communication over the Internet to allow efficient analysis of medical *** these smart advancements and exploitation of smart IoT devices in health care technology there increases threat and malware attacks during transmission of highly confidential medical *** work proposes a scheme by integrating machine learning approach and block chain technology to detect malware during data transmission in *** proposed Machine Learning based Block Chain Technology malware detection scheme(MLBCT-Mdetect)is implemented in three steps namely:feature extraction,Classification and *** extraction is performed by calculating the weight of each feature and reduces the features with less *** Vector Machine classifier is employed in the second step to classify the malware and benign ***,third step uses blockchain to store details of the selected features which eventually improves the detection of malware with significant improvement in speed and ***-BCT-Mdetect achieves higher accuracy with low false positive rate and higher True positive rate.

关键词： Blockchain malware detection classification feature selection internet of medical things

来源：评论

学校读者我要写书评

暂无评论

High-Rate Four Photon Subtraction from Squeezed Vacuum: Preparing Cat State for Optical Quantum Computation

arXiv

引用

arXiv 2025年

作者： Endo, Mamoru Nomura, Takefumi Sonoyama, Tatsuki Takahashi, Kazuma Takasu, Sachiko Fukuda, Daiji Kashiwazaki, Takahiro Inoue, Asuka Umeki, Takeshi Nehra, Rajveer Marek, Petr Filip, Radim Takase, Kan Asavanant, Warit Furusawa, Akira Department of Applied Physics School of Engineering The University of Tokyo 7-3-1 Hongo Bunkyo Tokyo113-8656 Japan Optical Quantum Computing Research Team RIKEN Center for Quantum Computing 2-1 Hirosawa Saitama Wako351-0198 Japan National Institute of Advanced Industrial Science and Technology 1-1-1 Umezono Ibaraki Tsukuba305-8563 Japan AIST-UTokyo Advanced Operando-Measurement Technology Open Innovation Laboratory 1-1-1 Umezono Ibaraki Tsukuba305-8563 Japan NTT Device Technology Labs NTT Corporation 3-1 Morinosato Wakamiya Kanagawa Atsugi243-0198 Japan Department of Electrical and Computer Engineering University of Massachusetts Amherst 100 Natural Resources Rd AmherstMA01003 United States Department of Physics University of Massachusetts Amherst 100 Natural Resources Rd AmherstMA01003 United States College of Information and Computer Science University of Massachusetts Amherst 100 Natural Resources Rd AmherstMA01003 United States Department of Optics Palacky University 17. listopadu 1192/12 Olomouc77146 Czech Republic

Generating logical qubits, essential for error detection and correction in quantum computation, remains a critical challenge in continuous-variable (CV) optical quantum information processing. The Gottesman-Kitaev-Preskill (GKP) code is a leading candidate for logical qubits, and its generation requires large-amplitude coherent state superpositions—Schrödinger cat states. However, experimentally producing these resource states has been hindered in the optical domain by technical challenges. The photon subtraction method, a standard approach for generating cat states using a squeezed vacuum and a photon number-resolving detector, has proven difficult to scale to multi-photon operations. While the amplitude of the generated cat states increases with the number of subtracted photons, limitations in the generation rate have restricted the maximum photon subtraction to n = 3 for over a decade. In this work, we demonstrate high-rate photon subtraction of up to four photons from a squeezed vacuum with picosecond wavepackets generated by a broadband optical parametric amplifier. Using a Ti-Au superconducting-transition-edge sensor, we achieve high-speed, high-resolution photon number discrimination. The resulting states exhibit Wigner function negativity without loss correction, and their quantum coherence is verified through off-diagonal density matrix elements in CV representation. These results overcome long-standing limitations in multi-photon operations, providing a critical foundation for generating quantum resources essential for fault-tolerant quantum computing and advancing ultrafast optical quantum processors. Copyright © 2025, The Authors. All rights reserved.

关键词： Parametric amplifiers

来源：评论

学校读者我要写书评

暂无评论

Exploring diabetes through the lens of AI and computer vision: Methods and future prospects

引用

computers in Biology and Medicine 2025年 185卷 109537-109537页

作者： Chundi, Ramesh G., Sasikala Basivi, Praveen Kumar Tippana, Anitha Hulipalled, Vishwanath R. N., Prabakaran Simha, Jay B. Kim, Chang Woo Kakani, Vijay Pasupuleti, Visweswara Rao School of Computer Applications Dayananda Sagar University Bangalore India School of Computer Science and Applications REVA University Rukmini Knowledge Park Bangalore560064 India Pukyong National University Industry-University Cooperation Foundation Pukyong National University Busan48513 Korea Republic of Department of Biotechnology School of Applied Sciences REVA University Rukmini Knowledge Park Bangalore560064 India School of Computing and Information Technology REVA University Rukmini Knowledge Park Bangalore560064 India School of Computer Science and Engineering Vellore Institute of Technology Tamilnadu Vellore632014 India Abiba Systems CTO and RACE Labs REVA University Rukmini Knowledge Park Bangalore560064 India Department of Nanotechnology Engineering College of Engineering Pukyong National University Busan48513 Korea Republic of Integrated System Engineering Inha University 100 Inha-ro Nam-gu Incheon22212 Korea Republic of School of Biosciences Taylor's University Lakeside Campus Selangor Subang Jaya47500 Malaysia Faculty of Earth Sciences Universiti Malaysia Kelantan Campus Jeli Jeli Kelantan17600 Malaysia

Early diagnosis and timely initiation of treatment plans for diabetes are crucial for ensuring individuals’ well-being. Emerging technologies like artificial intelligence (AI) and computer vision are highly regarded for their ability to enhance the accessibility of large datasets for dynamic training and deliver efficient real-time intelligent technologies and predictable models. The application of AI and computer vision techniques to enhance the analysis of clinical data is referred to as eHealth solutions that employ advanced approaches to aid medical applications. This study examines several advancements and applications of machine learning, deep learning, and machine vision in global perception, with a focus on sustainability. This article discusses the significance of utilizing artificial intelligence and computer vision to detect diabetes, as it has the potential to significantly mitigate harm to human life. This paper provides several comments addressing challenges and recommendations for the use of this technology in the field of diabetes. This study explores the potential of employing Industry 4.0 technologies, including machine learning, deep learning, and computer vision robotics, as effective tools for effectively dealing with diabetes related aspects. © 2024 Elsevier Ltd

关键词： Artificial intelligence computer vision Diabetes Deep learning Machine learning

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：