【计算机类】临近截稿国际会议信息3条

人机交互

EdgeCom 2018

International Workshop on Edge Computing

全文截稿: 2017-09-15

开会时间: 2018-01-12

会议难度: ★★★

CCF分类: 无

会议地点: Las Vegas, USA

网址：http://edgecom.hevs.ch/

The evolution of ICT has led to the diffusion of wireless personal devices, such as smart mobile phones, personal computers and wearable devices, designed to operate over the Internet. This, together with the exponential growth of the number of interconnected devices is leading towards the commonly called Internet of Things (IoT).

Such increasing pervasiveness of sensing and computing, with the consequent generation of massive amount of data, is calling for scalable and efficient decentralized approaches to data storage and elaboration, relieving centralized infrastructure at the core from part of the computational and communication burden, and pushing data analytics and knowledge generation towards the edge of the network, closer to the user. Such approach, called also “Edge Computing”, leverages the computational capabilities of virtually any networked device, including resources such as laptops, smartphones, tablets and sensors, which may not be continuously connected to a network. Indeed, the sensing and computing capabilities of interconnected devices have reached very high levels. Today’s mobile devices, for instance, are computationally equivalent to laptops from only a few years ago, while combining excellent battery life, storage capacity, networking, and a multitude of internal and external sensors in a single platform.

The main objectives of the workshop include:
- To review the state-of-art of research in Edge Computing
- To identify areas of critical needs where further research can advance the state of the art
- To individuate and address the main performance issues
- To individuate applications and use cases which could provide the motivation for further scientific developments
- To create a forum for discussion
- To provide insights for future research directions and potential new research initiatives in these areas.

计算机科学理论

ACE 2018

Australasian Computing Education Conference

摘要截稿: 2017-09-10

全文截稿: 2017-09-17

开会时间: 2018-01-29

会议难度: ★★

CCF分类: 无

会议地点: Brisbane, Australia

网址：http://infotech.scu.edu.au/~ACE2018

The Australasian Computing Education Conference (ACE) is a conference on research and innovation in computing education in its various aspects, at all levels and in all contexts. Topics of interest for the conference include, but are not limited to:
-the use of technology in computing education:
-course content;
-curriculum structure;
-methods of assessment;
-mobile, flexible, online learning and
-evaluations of alternative approaches.

The ACE2018 chairs invite abstracts for full papers, by Sunday 10th September, 2017. Full papers are due Sunday 17th September, 2017.

Papers on research and innovations may be in the context of formal courses or self-directed learning; they may involve, for example, introductory programming, service courses, capstone courses, specialist undergraduate or postgraduate topics, and industry-related short courses. We welcome submissions directed at issues of current and local importance, as well as topics of international interest. Such topics may include transition from school to university, articulation between vocational and university education, quality management in teaching, teaching people from other cultures, globalisation, attracting and retaining female students, online, mobile and blended learning.

人机交互

PredictGIS 2017

Workshop on Prediction of Human Mobility at ACM SIGSPATIAL

全文截稿: 2017-09-18

开会时间: 2017-11-07

会议难度: ★★

CCF分类: 无

会议地点: California, USA

网址：https://wwp.shizuoka.ac.jp/sudo/

The prediction of human and vehicle mobility in a city is becoming attracting field. This topic attracts researchers in broad field from the behavioral science, where understanding the complexity of the human mobility behavior is one of the hot topic, to industrial field, which apply the result to many beneficial applications. Recent progress to sensing human mobility via smartphones is boosting this trend. However, due to the complexity and context-dependence of human behavior and the incompleteness and noise of geospatial data collecting from various sensors, the prediction of human and vehicle mobility is still far from solved.

This workshop aims at collecting contributions on the cutting-edge studies in human mobility description, modeling, intelligent computational method which can advance the human and vehicle prediction research.

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