Chuantao Yin

A literature survey on smart cities

Rapid urbanization creates new challenges and issues, and the smart city concept offers opportunities to rise to these challenges, solve urban problems and provide citizens with a better living environment. This paper presents an exhaustive literature survey of smart cities. First, it introduces the origin and main issues facing the smart city concept, and then presents the fundamentals of a smart city by analyzing its definition and application domains. Second, a data-centric view of smart city architectures and key enabling technologies is provided. Finally, a survey of recent smart city research is presented. This paper provides a reference to researchers who intend to contribute to smart city research and implementation.创新点世界范围内的快速城镇化给城市发展带来了很多新的问题和挑战, 智慧城市概念的出现, 为解决当前城市难题、提供更好的城市环境提供了有效的解决途径。论文介绍了智慧城市的起源, 总结了智慧城市领域的三个主要问题, 通过详细的综述性文献研究展开对这些问题的探讨。论文首先对智慧城市的定义和应用领域进行了归纳和分析, 然后研究了智慧城市的体系架构, 提出了智慧城市以数据为中心、多领域融合的相关特征, 并定义了以数据活化技术为核心的层次化体系架构, 并介绍了其中的关键技术, 最后选取了城市交通、城市群体行为、城市规划三个具有代表性的应用领域介绍了城市数据分析与处理的最新研究进展和存在问题。

Use your mobile computing devices to learn - Contextual mobile learning system design and case studies

In recent years, with the rapid development of mobile computing technologies, a new learning style-mobile learning has exploded everywhere in our society, which is considered as an essential learning style in the future. This paper presents a mobile learning system taking into account learning context, which is also called contextual mobile learning. With the help of this system, we can learn just in time in our daily lives whenever we need to learn, using mobile computing devices like Tablet PCs and PDAs. The main principles and the development process such as production of learning units and contextualization process are presented. Two case studies are introduced to apply the system in concrete scenarios.

A method for community detection of complex networks based on hierarchical clustering

Due to the development and popularization of Internet, there is more and more research focusing on complex networks. Research shows that there exists community structure in complex networks. Finding out community structure helps to extract useful information in complex networks, so the research on community detection is becoming a hotspot in recent years. There are two remarkable problems in detecting communities. Firstly, the detection accuracy is normally not very high; Secondly, the assessment criteria are not very effective when real communities are unknown. This paper proposes an algorithm for community detection based on hierarchical clustering (CDHC Algorithm). CDHC Algorithm firstly creates initial communities from global central nodes, then expands the initial communities layer by layer according to the link strength between nodes and communities, and at last merges some very small communities into large communities. This paper also proposes the concept of extensive modularity, overcoming some weakness of modularity. The extensive modularity can better evaluate the effectiveness of algorithms for community detection. This paper verifies the advantage of extensive modularity through experiments and compares CDHC Algorithm and some other representative algorithms for community detection on some frequently used datasets, so as to verify the effectiveness and advantages of CDHC Algorithm.

A hierarchical ontology context model for work-based learning

Context modelling involves a) characterizing a situation with related information, and b) dealing and storing the information in a computer-understandable form. It is the keystone to enable a system to possess the perception capacity and adapt its functionality properly for different situations. However, a context model focusing on the characteristics of work-based learning is not well studied by pioneering researchers. For addressing this issue, in this work we firstly analyze several existing context models to identify the essentials of context modelling, whereby a hierarchical ontology context model is proposed to characterize work-based learning. Subsequently, we present the application of the proposed model in work-based learning scenario to provide adapted learning supports to professionals. Hence, this work has significance in both theory and practice.

A Framework of Context-Aware Mobile Learning System for Professionals

This paper proposes a framework for a professional context-aware mobile learning system. This system provides learning contents delivered via mobile devices and adapted to learning needs, personal characteristics and particular circumstances. Supported by this system, professionals will acquire personalized, just-in-time and problem-based learning contents in real working situations.

A contextual mobile learning system for mastering domestic and professional equipments

The rapid development of mobile communication and mobile devices offers the opportunity to develop mobile learning systems that are able to assist us in our daily lives or professional situations. This paper presents a contextual mobile learning system framework, which allows us to learn mastering domestic and professional equipments on using mobile devices like Tablet PC, PDA or Smartphone. Just in time learning, learning and doing, and collaborative learning theories are appropriately blended for offering more effective task-centered learning experiences in our approach. The main principles and development process such as contextualization with RFID and production of learning units are introduced. At the end, a concrete learning scenario experiment for computer maintenance is evaluated.

Online Learning Style Modeling for Course Recommendation

E-learning systems offer new ways of learning and change the approaches of delivering learning materials. In the face of massive instructional data, efforts should be made to help learners choose more suitable materials based on their level and preferences. In this paper, we proposed a model of online learning style which offers a comprehensive description of learners’ cognitive style and other abilities. Then, we introduce an enhanced method for course recommendation based on our learner model. Experiment results show that the enhanced method evidently outperforms traditional collaborative filtering method, while maintaining a computational advantage.

Eight Years of R&D in the Freight & Passenger Transportation Context in the Smart City Perspective: ICT Principles and Applications

For this conference, we had the choice between two approaches: an in-depth description of one of our projects, or a kaleidoscopic presentation of a series of our projects. We opted for the second approach with the aim of presenting our contributions to Smart City in the field of transportation of passengers and freight and associated services. Our goal is to present different ways of increasing smartness and to indicate which ICT concepts have been used.

Collaborative Systems & Shared Economy (Uberization): Principles & Case Study

In this paper we analyze the characteristics of collaborative systems and the characteristics of shared economy supporting systems. Uberization as present in many applications: Airbnb, Uber, BlablaCar, AMAP, circular economy, etc. needs a cooperative system support. We examine this approach from the point of view of ICT (Information and Communication Technologies) and, more specifically, HMI (Human Machine Interaction) and CSCW (Computer Supported Cooperative Work) and indicate what must be added to collaborative systems to support uberization. This paper also shows how to identify appropriate collaborative models and how to add new uberization services to obtain an uberization supporting platform. A case of design of a collaborative application for Carbon Free Parcel Distribution is also presented, and corresponding intermediation algorithms are discussed

A context-aware mobile system for work-based learning

In this paper, we propose the design, implementation, and evaluation methods and results of a context‐aware mobile system for work‐based learning, named WoBaLearn. The main contribution is we proposed four conceptual design bases which can be applied in developing different work‐based learning environment. With WoBaLearn, professionals can easily access personalized, adaptive and just‐in‐time learning supports through their mobile devices in real working environment.