CCF | 临近截稿会议信息5条

2019 年 5 月 15 日 Call4Papers
计算机网络

MASS 2019

IEEE International Conference on Mobile Adhoc and Sensor Systems

摘要截稿: 2019-05-12
全文截稿: 2019-05-15
开会时间: 2019-11-04
会议难度: ★★★
CCF分类: C类
会议地点: Monterey, CA, USA
网址:http://sites.google.com/view/mass2019
IEEE MASS is a premier annual forum for sharing original, novel ideas in mobile ad-hoc networks and smart systems, defined broadly. As wireless ad-hoc networks continue to evolve and specialize into a number of application scenarios and environments, and sensor-based systems and technologies increasingly permeate our everyday life and become the inner fabric of the Internet of Things and cyber-physical systems, the unfolding of smart environments such as smart cities, smart farming, smart healthcare, and smart manufacturing, to name a few, demand integrated solutions that can make intelligent use of both cloud and edge systems, while applying machine learning and artificial intelligence tools to handle their growing complexity and to leverage the vast amount of available data created.  

Sponsored by the IEEE Computer Society, the 16th edition of the IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS) will be held in beautiful Monterey, CA, USA, on November 4-7, 2019, and it aims at bringing together researchers, developers, and practitioners to address recent advances in mobile ad-hoc and smart systems, covering algorithms, theory, protocols, systems & applications, experimental evaluations and testbeds, security/privacy, as well as AI/ML-based smart design.  


Topics of Interest  

Original, unpublished contributions are solicited in all aspects of mobile ad-hoc and smart systems, from mobile networking/computing to cyber-physical systems to Internet of Things, from theory to systems and applications. Topics of interest include, but are not limited to:  

• 5G networks and technologies  
• AI/ML for smart wireless networks  
• AI and machine learning aided protocol design and resource allocation  
• AI and machine learning based applications for ad hoc networks  
• Algorithms for MANETs and WSNs  
• Application Layer Protocols  
• Clustering, topology control, coverage, and connectivity  
• Cognitive networking  
• Cooperative and cognitive communication  
• Cooperative sensing, compressive sensing, sensing from communications  
• Cloud, crowd-sourced, participatory and (mobile) social sensing  
• Cyber-physical systems and applications  
• Data gathering, fusion, and dissemination  
• Energy-efficient architectures, algorithms, and protocols  
• Experiences in real-world applications and deployments  
• Flying Ad-Hoc Networks  
• Free-space optical networks  
• Heterogeneous networks  
• Internet of Things (IoT) devices, gateways, and infrastructure  
• Light-weight distrib  
• Localization and Location Based Services  
• Measurements, experimental systems and test-beds  
• Mobile computing and networking  
• mmWave and Terahertz networks  
• Mobility modeling and management  
• Multi-channel, multi-radio and MIMO technologies  
• Network components, operating systems, and middleware  
• Opportunistic networking, delay tolerant networking  
• QoS and Resource management  
• Robotic networks  
• Routing protocols  
• Scalability, stability, and robustness of networks and sensor systems  
• Security and privacy at all layers, including the physical layer  
• Sensor enabled drone, UAV, UUV systems  
• Smart grid, healthcare, transportation applications  
• Vehicular networks and protocols  
• Visible light communications  
• Wearable and human-centric devices and networks  



计算机体系结构,并行与分布式计算

NPC 2019

IFIP International Conference on Network and Parallel Computing

全文截稿: 2019-05-15
开会时间: 2019-08-23
会议难度: ★★★
CCF分类: C类
会议地点: Hohhot, Inner Mongolia, China
网址:http://epcc.sjtu.edu.cn/npc2019
High Performance Computing and Big Data are two main areas where NPC 2019 will provide a dynamic forum to explore, discuss and debate state-of-the-art technology issues and challenges. High-performance computers and big-data systems are tied inextricably to the broader computing ecosystem and its designs and market adoption. They also highlight information security needs and economic competitiveness in ways that distinguish them from most other scientific instruments. We strongly believe that the stake is high, and it is far beyond the boundaries of nations and continents, and should strongly encourage a broad international participation.

We share the view that, during the past decade, the tools and cultures of high-performance computing and big data analytics are diverging to the detriment of both, and the international community should find a unified path that can best serve the need of a broad spectrum of major application areas. Unlike other tools, which are limited to particular scientific domains, computational modeling and data analytics are applicable to all areas of science and engineering, as they breathe life into the underlying mathematics of scientific models.

Parallel and distributed applications and algorithms

• Parallel and distributed issues and opportunities on artificial intelligence application.

• Parallel algorithms for computational and data-enabled scientific, engineering, biological and medical applications

• Parallel algorithms for accelerators, neuromorphic architectures, and other emerging architectures

Parallel and distributed architectures and systems

• Emerging architectures and systems at all scales, from embedded to cloud.

• Systems for enabling parallelism at an extreme scale

• Power-efficient and green computing systems

• Neuromorphic architectures and cognitive computing accelerators

• Heterogeneous multicore architectures and accelerators

• In-Memory and near-data computing

• Network and interconnect architectures

• Storage systems in novel big data architectures

Parallel and distributed software environments and tools

• Programming models and compilation for existing and emerging platforms

• Dataflow programming models, frameworks, languages and environments for data-enabled platforms

• Virtualization of machines, networks, and storage

• I/O, file systems, and data management

• Resource management, scheduling, and load balancing



人机交互

UbiComp 2019

ACM International Joint Conference on Pervasive and Ubiquitous Computing

全文截稿: 2019-05-15
开会时间: 2019-09-09
会议难度: ★★★★★
CCF分类: A类
会议地点: London, UK
网址:http://ubicomp.org
UbiComp is a premier interdisciplinary venue in which leading international researchers, designers, developers, and practitioners in the field present and discuss novel results in all aspects of ubiquitous and pervasive computing. This includes the design, development, and deployment of ubiquitous and pervasive computing technologies and the understanding of human experiences and social impacts that these technologies facilitate.  

UbiComp 2019 will be held from 9th to 13th September, and as in past years will be co-located with ISWC 2019 (with a single registration fee).



数据库管理与信息检索

CIKM 2019

Conference on Information and Knowledge Management

摘要截稿: 2019-05-15
全文截稿: 2019-05-22
开会时间: 2019-11-03
会议难度: ★★★★
CCF分类: B类
会议地点: Beijing, China
网址:http://www.cikm2019.net/
Topics of Interest  
We encourage submissions of high quality research papers on all topics in the general areas of databases, information retrieval, and knowledge management. Topics of interest include, but are not limited to, the following areas:  
Data and information acquisition and preprocessing (e.g., data crawling, data quality, data privacy, data wrangling)  
Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, data warehousing, privacy and security, modelling)  
Infrastructures (e.g., cloud computing, data intensive computing, database systems, indexing and compression, search engine architectures, distributed systems)  
Special data processing (e.g., multilingual text, sequential, stream, spatio-temporal, graph, multimedia, scientific, and social media data)  
Multi-modal data and knowledge processing (e.g., natural language processing, speech recognition, computer vision, knowledge graphs)  
Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, event detection and tracking, deep neural networks, deep learning)  
Information access and retrieval (e.g., web search, question answering and dialogue systems, retrieval models, query processing, personalization, recommender and filtering systems)  
Data presentation (e.g., visualization, summarization, readability, understandability, VR, speech input and output)  
Users and interfaces for information and data systems (e.g., user behavior analysis, user interface design, personalization, interactive analysis, spoken interfaces)  
Crowd sourcing  
Comparative evaluation, performance studies and benchmarks (e.g., online and offline evaluation, study of best practices)  
Applications (e.g., digital health, urban systems, biomedical informatics, security, business intelligence, computational social science, data-enabled discovery, social media)



计算机科学理论

FMCAD 2019

Formal Methods in Computer-Aided Design

摘要截稿: 2019-05-17
全文截稿: 2019-05-24
开会时间: 2019-10-22
会议难度: ★★★
CCF分类: C类
会议地点: San Jose, California, USA
网址:https://fmcad.forsyte.at/FMCAD19/
FMCAD 2019 is the nineteenth in a series of conferences on the theory and applications of formal methods in hardware and system verification. FMCAD provides a leading forum to researchers in academia and industry for presenting and discussing groundbreaking methods, technologies, theoretical results, and tools for reasoning formally about computing systems. FMCAD covers formal aspects of computer-aided system design including verification, specification, synthesis, and testing.

FMCAD employs a rigorous peer-review process. Accepted papers are distributed through both ACM and IEEE digital libraries. In addition, published articles are made available freely on the conference page; the authors retain the copyright. There are no publication fees. At least one of the authors is required to register for the conference and present the accepted paper. A small number of outstanding FMCAD submissions will be considered for inclusion in a Special Issue of the journal on Formal Methods in System Design (FMSD).

TOPICS OF INTEREST

FMCAD welcomes submission of papers reporting original research on advances in all aspects of formal methods and their applications to computer-aided design. Topics of interest include (but are not limited to):

Model checking, theorem proving, equivalence checking, abstraction and reduction, compositional methods, decision procedures at the bit- and word-level, probabilistic methods, combinations of deductive methods and decision procedures.

Synthesis and compilation for computer system descriptions, modeling, specification, and implementation languages, formal semantics of languages and their subsets, model-based design, design derivation and transformation, correct-by-construction methods.

Application of formal and semi-formal methods to functional and non-functional specification and validation of hardware and software, including timing and power modeling, verification of computing systems on all levels of abstraction, system-level design and verification for embedded systems, cyber-physical systems, automotive systems and other safety-critical systems, hardware-software co-design and verification, and transaction-level verification.

Experience with the application of formal and semi-formal methods to industrial-scale designs; tools that represent formal verification enablement, new features, or a substantial improvement in the automation of formal methods.

Application of formal methods to verifying safety, connectivity and security properties of networks, distributed systems, smart contracts, blockchains, and IoT devices.



广告




登录查看更多
0

相关内容

Explanation:网络。 Publisher:Wiley。 SIT: http://dblp.uni-trier.de/db/journals/networks/
近期必读的5篇AI顶会CVPR 2020 GNN (图神经网络) 相关论文
专知会员服务
78+阅读 · 2020年3月3日
Keras François Chollet 《Deep Learning with Python 》, 386页pdf
专知会员服务
144+阅读 · 2019年10月12日
[综述]深度学习下的场景文本检测与识别
专知会员服务
77+阅读 · 2019年10月10日
【哈佛大学商学院课程Fall 2019】机器学习可解释性
专知会员服务
99+阅读 · 2019年10月9日
CCF推荐 | 国际会议信息6条
Call4Papers
9+阅读 · 2019年8月13日
CCF推荐 | 国际会议信息10条
Call4Papers
7+阅读 · 2019年5月27日
计算机类 | ISCC 2019等国际会议信息9条
Call4Papers
5+阅读 · 2018年12月25日
人工智能 | 国际会议信息10条
Call4Papers
5+阅读 · 2018年12月18日
人工智能 | COLT 2019等国际会议信息9条
Call4Papers
6+阅读 · 2018年9月21日
人工智能类 | 国际会议/SCI期刊专刊信息9条
Call4Papers
4+阅读 · 2018年7月10日
人工智能 | 国际会议截稿信息9条
Call4Papers
4+阅读 · 2018年3月13日
人工智能 | 国际会议/SCI期刊约稿信息9条
Call4Papers
3+阅读 · 2018年1月12日
人工智能 | 国际会议截稿信息5条
Call4Papers
6+阅读 · 2017年11月22日
计算机类 | 国际会议信息7条
Call4Papers
3+阅读 · 2017年11月17日
A Survey on Edge Intelligence
Arxiv
49+阅读 · 2020年3月26日
Directions for Explainable Knowledge-Enabled Systems
Arxiv
26+阅读 · 2020年3月17日
VIP会员
相关VIP内容
近期必读的5篇AI顶会CVPR 2020 GNN (图神经网络) 相关论文
专知会员服务
78+阅读 · 2020年3月3日
Keras François Chollet 《Deep Learning with Python 》, 386页pdf
专知会员服务
144+阅读 · 2019年10月12日
[综述]深度学习下的场景文本检测与识别
专知会员服务
77+阅读 · 2019年10月10日
【哈佛大学商学院课程Fall 2019】机器学习可解释性
专知会员服务
99+阅读 · 2019年10月9日
相关资讯
CCF推荐 | 国际会议信息6条
Call4Papers
9+阅读 · 2019年8月13日
CCF推荐 | 国际会议信息10条
Call4Papers
7+阅读 · 2019年5月27日
计算机类 | ISCC 2019等国际会议信息9条
Call4Papers
5+阅读 · 2018年12月25日
人工智能 | 国际会议信息10条
Call4Papers
5+阅读 · 2018年12月18日
人工智能 | COLT 2019等国际会议信息9条
Call4Papers
6+阅读 · 2018年9月21日
人工智能类 | 国际会议/SCI期刊专刊信息9条
Call4Papers
4+阅读 · 2018年7月10日
人工智能 | 国际会议截稿信息9条
Call4Papers
4+阅读 · 2018年3月13日
人工智能 | 国际会议/SCI期刊约稿信息9条
Call4Papers
3+阅读 · 2018年1月12日
人工智能 | 国际会议截稿信息5条
Call4Papers
6+阅读 · 2017年11月22日
计算机类 | 国际会议信息7条
Call4Papers
3+阅读 · 2017年11月17日
Top
微信扫码咨询专知VIP会员