检索结果-内蒙古大学图书馆

CEUR Workshop proceedings 2022年 3304卷

作者： Jia, Weijia Yin, Jian Hu, Shaolin Peng, Shaoliang Niu, Shaozhang Srinivasa Rao, P.C. Lu, Yao Mirsaeidi, Sohrab Cao, Bin Wu, Yilin Wang, Xingbo Subramaniyam, Kannimuthu Boddu, Raja Sarath Kumar Li, Zhonghua Tao, Qian Zhang, Lei Li, Yi Ding, Deqing Wang, Dahan Zhang, Ziyan AlShawabkeh, Mahmoud Aslam, Muhammad Dib, Omar Sahibuddin, Shamsul Bin Wagh, Sanjeev J. Pardalos, Panos M. Al-Sammarraie, Najeeb Abbas Liu, Linfeng Kong, Jin-Heung Borrego, Carlos Tahir, Sabeen Wu, Zhiheng Li, Jiongcheng Xu, Yong Xie, Zhi Wang, Jiahai Cai, Hongmin Yang, Yuedong Qin, Xiaolin Beijing Normal University Zhuhai China Sun Yat-sen University China Guangdong University of Petrochemical Technology China Hunan University China Beijing University of Posts and Telecommunications China India Beijing Jiaotong University China Hebei University of Technology China Guangdong University of Education China Foshan University China Karpagam College of Engineering India Lenora College of Engineerin India Yat-sen University Guangdong High Performance Computing Society China South China University of Technology China Henan University China Wenzhou University China National University of Defense Technology China Xiamen University of Technology China Hainan Tropical Ocean University China Guangxi Normal University for Nationalities China Wuhan University China Wenzhou-Kean University China School of Software Engineering Universiti Teknologi Malaysia Information Technology Government College of Engineering Karad India Department of Industrial & Systems Engineering University of Florida United States Al-Madinah International University Faculty of Computer and Information Technology Malaysia School of Computer Science and Technology Nanjing University of Posts and Telecommunications China School of Computer and Information Engineering Kwangwoon University Korea Republic of Departament Enginyeria of Information Comunicacions Autonomous University of Barcelona Spain Information Technology Department King AbdulAziz University Jeddah Saudi Arabia Institute of Manufacturing GDAS China Guangdong Planning and Designing Institute of Telecommunications Co. Ltd China Guangzhou Institutes of Biomedicine and Health Chinese Academy of Sciences China Cheng Du Information Technology of Chinese Academy of Sciences Co. Ltd China

来源：评论

学校读者我要写书评

暂无评论

A distributed Routing Algorithm for LEO Satellite Networks 3rd

引用

3rd international conference on Human Centered computing (HCC)

作者： Ding, Jundong Zhang, Yong Li, Ruonan Zhao, Liang BUPT Beijing Key Lab Space Ground Interconnect & Conve Xitucheng Rd 10 Beijing 100876 Peoples R China China Elect Appliance Corp Beijing Peoples R China

ISBN: (纸本)9783319745213;9783319745206

Satellite networks support a wide range of service and provide global coverage. Moreover, LEO satellites, which have global coverage potential, have caused great attention in the field of satellite communication. Due to satellites' mobility, an efficient and stable routing algorithm is necessary for transmission in satellite networks. In this paper, a distributed Multi-Path Routing algorithm (DMPR) using Earth-fixed satellite systems.is proposed. DMPR adopts the Polar orbit constellation in which each satellite has four ISLs (inter satellite link) with the neighbor satellites. A traffic-light is set for every ISL to judge the blocking while avoiding some busy path and reducing the delay.

关键词： Low earth orbit Polar orbit constellation distributed multipath routing Traffic light

来源：评论

学校读者我要写书评

暂无评论

proceedings of the 3rd international conference Ergo-2018: Human Factors in Complex Technical systems.and Environments, Ergo 2018

Proceedings of the 3rd International Conference Ergo-2018: H...

引用

3rd international conference Ergo: Human Factors in Complex Technical systems.and Environments, Ergo 2018

ISBN: (纸本)9781538656129

The proceedings contain 59 papers. The topics discussed include: training of innovative specialists for strategic management of enterprises of high-tech industries;analysis and combination of activity algorithms evaluation methods;ensuring of professional activities reliability for electric power operational and exploitational personnel;analysis of dynamics of demand, revenue and ergonomic aspects of tourism;method of creating biometric keys based on the analysis of keyboard hand typing;isometric method of continuous streaming monitoring of neuro-physiological states of a person for the professional diagnostics and selection;system analysis of innovative technologies of the industrial revolutions;may the occurrence of traffic participants workload be programmed by the engineers?;model of purpose aggressive actions on the information-computing system;supporting the process of training specialists in an integrated educational environment;reengineering of corporate management in the innovative context and professional competencies of a reengineer;acoustic safety of professional activity of state aviation flight crews;and visualization technique for representing structure of the cluster of objects.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Performance Enhancement of distributed Clustering for Big Data Analytics 3rd

Performance Enhancement of Distributed Clustering for Big Da...

引用

3rd international conference on Advanced Machine Learning Technologies and Applications (AMLTA)

作者： Mohamed, Omar Hesham Shehab, Mohamed Elemam El Fakharany, Essam Arab Acad Sci Technol & Maritime Transport Informat Syst Dept Cairo Egypt Arab Acad Sci Technol & Maritime Transport Cairo Egypt Arab Acad Sci Technol & Maritime Transport Coll Comp & Informat Technol Cairo Egypt

ISBN: (纸本)9783319746906;9783319746890

Big Data analytics are recently coming up as prominent research area in the field of data science. Apache Spark is an open source distributed data processing platform that uses distributed memory abstraction to process large volume of streaming data efficiently. Performance improvement of analytic computational model of streaming big data is important to meet the requirements of many real-time data analysis. Researchers focus on Analytic algorithm improvement to reduce analysis time. This paper presents performance enhancement of in-memory computational model by selecting the most important attributes after caching data to Apache spark. Performance analysis of distributed K-Means clustering algorithm based on in-memory computational model has been conducted. The results show improvement in the performance of the model.

关键词： Big Data Apache Spark Machine learning algorithms K-Means algorithm In-memory computation Big data analytic

来源：评论

学校读者我要写书评

暂无评论

Recent Trends in Data Science and Soft computing: proceedings of the 3rd international conference of Reliable Information and Communication Technology

引用

2018年

作者： Faisal Saeed Nadhmi Gazem Fathey Mohammed Abdelsalam H Busalim

ISBN: (纸本)9783319990064

This book presents the proceedings of the 3rd international conference of Reliable Information and Communication Technology 2018 (IRICT 2018), which was held in Kuala Lumpur, Malaysia, on July 2324, 2018. The main theme of the conference was Data Science, AI and IoT Trends for the Fourth Industrial Revolution. A total of 158 papers were submitted to the conference, of which 103 were accepted and considered for publication in this book. Several hot research topics are covered, including Advances in Data Science and Big Data Analytics, Artificial Intelligence and Soft computing, Business Intelligence, Internet of Things (IoT) Technologies and Applications, Intelligent Communication systems. Advances in Computer Vision, Health Informatics, Reliable Cloud computing Environments, Recent Trends in Knowledge Management, Security Issues in the Cyber World, and Advances in Information systems.Research, Theories and Methods.

关键词：

来源：评论

学校读者我要写书评

暂无评论

proceedings of the 2018 3rd Digital Heritage international Congress, Digital Heritage 2018 - Held jointly with the 2018 24th international conference on Virtual systems.and Multimedia, VSMM 2018

Proceedings of the 2018 3rd Digital Heritage International C...

引用

3rd Digital Heritage international Congress, Digital Heritage 2018

ISBN: (纸本)9781728102924

The proceedings contain 97 papers. The topics discussed include: intra-site digital documentation of the ancient Maya city of Palenque, Mexico;Vietnam war stories: stories from all sides;madmen"s voices: discovering former psychiatric hospitals via mobile application;capturing the virtual movement of paintings: a game and a tool;developing application based upon an ontology-based modeling of Vietnamese traditional dances;active visitor: augmenting libraries into social spaces;integrating and visualizing humanities and heritage science data;real-world data for virtual reality experiences: interpreting excavations;representation and restoration theories for a digital life of the archival architectural drawings;and digital curation of a World War II Japanese-American incarceration camp collection: implications for sociotechnical archival systems.

关键词：

来源：评论

学校读者我要写书评

暂无评论

REVIEW OF MACHINE LEARNING APPLICATIONS IN POWDER BED FUSION TECHNOLOGY FOR PART PRODUCTION 3

REVIEW OF MACHINE LEARNING APPLICATIONS IN POWDER BED FUSION...

引用

3rd international conference on Progress in Additive Manufacturing (Pro-AM)

作者： Huang, De Jun Li, Hua Nanyang Technol Univ Sch Mech & Aerosp Engn Singapore Ctr 3D Printing 50 Nanyang Ave Singapore 639798 Singapore

Additive manufacturing (AM) has become a viable option for production of industrial parts to meet the growing demands for customized components with complex geometry within a short lead time. Powder bed fusion (PBF) technology is often favored for its superior geometrical resolution and system stability. In the perspective of PBF machine users, the part production cycle can be broadly divided to three stages: the preparation stage, the printing stage and the postprocessing stage. The complexity in each stage gives rise to a challenging task for process control and quality assurance. The rising of machine learning in recent years sheds light on tackling this multi-factorial challenge in order to improve the overall performance of AM for part production. This article provides a review of machine learning techniques that are applied in or relevant to the part production cycle in PBF systems. The studies to date have showed segmented applications of machine learning techniques in different processes related to AM. To gain insight into the system behavior of PBF machines, more efforts could be put into constructing effective data representations and performing holistic analyses for the entire production cycle.

关键词： Machine Learning Additive Manufacturing Powder Bed Fusion Review

来源：评论

学校读者我要写书评

暂无评论

Partitioning-Insensitive Watermarking Approach for distributed Relational Databases 3rd

Partitioning-Insensitive Watermarking Approach for Distribut...

引用

3rd international conference on Future Data and Security Engineering (FDSE) / 10th international conference on Advanced computing and Applications (ACOMP)

作者： Rani, Sapana Koshley, Dileep Kumar Halder, Raju Indian Inst Technol Patna Patna Bihar India

ISBN: (纸本)9783662562666;9783662562659

This paper introduces an efficient watermarking approach for distributed relational databases, which is generic enough to support database outsourcing and hybrid partitioning. Various challenges, like partitioning and distribution of data, existence of replication etc., are addressed effectively by watermarking different partitions using different sub keys and by maintaining a meta-data about the data distribution. Notably, the embedding and detection phases are designed with the aim of making embedded watermarks partitioning-insensitive. That means, database partitioning and its distribution do not disturb any embedded watermark at all. To the best of our knowledge, this is the first proposal on watermarking of distributed relational databases supporting database outsourcing, its partitioning and distribution in a distributed setting.

关键词： Watermarking distributed databases Security

来源：评论

学校读者我要写书评

暂无评论

Performance of Dynamic Networks: A Measurement Consists of Flow, Timing and Reliability 3

Performance of Dynamic Networks: A Measurement Consists of F...

引用

3rd international conference on Computer and Communication systems.(ICCCS)

作者： Laih, Yih-Wenn Jane, Chin-Chia Ling Tung Univ Dept Finance 1 Lingtung Rd Taichung 40852 Taiwan Ling Tung Univ Dept Business Adm 1 Lingtung Rd Taichung 40852 Taiwan

ISBN: (纸本)9781538663509

Dynamic network models are widely employed for system analysis and performance evaluation of computer and communication systems. In dynamic networks each arc is weighted with a capacity and a transit time. The former is the maximum amount of flow that can travel through the arc per unit time, the later is the time period needed for flow to travel through the arc. In this article, an additional weight operation probability, is assigned to each arc to note the capability of the arc's successful transition. The performance of dynamic networks is defined by the probability that the maximum dynamic flow from source to sink within required time horizon is no less than specified threshold. To the best of our knowledge, no existing article had considered dynamic flow and network reliability simultaneously. Based on facts that there is always a maximum dynamic flow among the temporally repeated flows and the maximum temporally repeated flow can be obtained via an equivalent minimum cost maximum flow problem, we present a pioneering algorithm to compute performance of dynamic networks by solving minimum cost maximum flow and two-terminal capacity reliability at the same time.

关键词： performance dynamic networks reliability algorithm

来源：评论

学校读者我要写书评

暂无评论

Performance Measurements of Narrowband-IoT Network in Emulated and Field Testbeds

Performance Measurements of Narrowband-IoT Network in Emulat...

引用

IEEE international conference on Intelligent Data Acquisition and Advanced computing systems

作者： Jubin Sebastian E Axel Sikora Institute of Reliable Embedded Systems and Communication Electronics (ivESK) Offenburg University of Applied Sciences

ISBN: (纸本)9781728140704

Narrowband IoT (NB-IoT) as a radio access technology for the cellular Internet of Things (cIoT) is getting more traction due to attractive system parameters, new proposals in the 3rd Generation Partnership Project (3GPP) Release 14 for reduced power consumption and ongoing world-wide deployment. As per 3GPP, the low-power and wide-area use cases in 5G specification will be addressed by the early NB-IoT and Long-Term Evolution for Machines (LTE-M) based technologies. Since these cIoT networks will operate in a spatially distributed environment, there are various challenges to be addressed for tests and measurements of these networks. To meet these requirements, unified emulated and field testbeds for NB-IoT-networks were developed and used for extensive performance measurements. This paper analyses the results of these measurements with regard to RF coverage, signal quality, latency, and protocol consistency.

关键词： NB-IoT Cellular IoT Test and measurements 5G IoT LPWAN Access to technology Testing and Measurement Power consumption 3GPP system parameter measurement result Performance metrics Long Term Evolution

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：