Jian Chen

Jian Chen
Taiyuan University of Technology · College of Computer Science and Technology

PhD, MS, BSc

About

44
Publications
2,230
Reads
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399
Citations
Introduction

Publications

Publications (44)
Article
This paper proposes an algorithm that solving the problem of the personalized recommendation of micro-learning path based on improved ACO(Ant Colony Optimization) algorithm. Micro-learning is a new learning style; its main feature is the micro-learning unit can be learned at fragmented time. Meanwhile, micro-learning is more flexible than other lea...
Article
Multihop underwater acoustic local area networks (MUA-LANs), which can greatly improve the access ability of underwater networks, suffer from the lack of network access mechanism utilized by new nodes to join the networks. Existing network access mechanisms for terrestrial wireless LANs cannot be directly applied to MUA-LANs due to the multihop top...
Conference Paper
Micro-Learning is a new leaning paradigm based on microblogging, e-mail or SMS, in which an integral learning resource consists of a series of micro learning units that are dispersed via the services of Internet, and can be used to help users learn at anywhere with a short-term. But the problem is that most of the micro learning units are disorgani...
Article
Multihop underwater acoustic sensor networks (UASNs) suffer from low throughput caused by low channel utilization and unreasonable bandwidth allocation. The existing media access control (MAC) protocols for UASNs mainly aim to improve channel utilization but neglect to optimize bandwidth, so that they cannot achieve high throughput in miltihop netw...
Article
Full-text available
Underwater acoustic local area networks (UA-LANs) can be used to improve the coverage of an underwater network by introducing a tier of local area communications. Media access control (MAC) is a crucial issue for UA-LANs. Existing MAC protocols for terrestrial WLANs cannot be directly applied to UA-LANs due to the acoustic channel features of limit...
Article
In this paper, we propose a gradually adaptive recommendation model based on the combination of both users' commonalities and individualities that depend on the semantic mapping of users' interest correlations. We analyze users' information access behaviors and histories to extract users' interests and trace their transitions. In details, according...
Article
Full-text available
With the high development of social networks, collaborations in a socialized web-based learning environment has become increasing important, which means people can learn through interactions and collaborations in communities across social networks. In this study, in order to support the enhanced collaborative learning, two important factors, user b...
Article
Cyber-Individual (Cyber-I) is the digital counterpart of an individual in the real world, which aims at systematically studying and developing comprehensive individual human modeling and its associated applications. The ultimate goal of this research is to create a digital clone for each individual and to provide active desirable services. We prese...
Article
Differing from many studies of recommendation that provided the final results directly, our study focuses on providing an optimized process of information seeking to users. Based on process mining, we propose an integrated adaptive framework to support and facilitate individualized recommendation based on the gradual adaptation model that gradually...
Article
Underwater Acoustic Sensor Networks (UASNs) have recently been attracted significant attention from both academia and industry for resources exploration and for scientific data gathering in underwater environments. The important characteristic of a UASN is that most underwater acoustic sensor nodes have a certain beam width and a three dimension di...
Conference Paper
In this study, in order to support and facilitate the web-based learning, we concentrate on user learning behavior pattern discovery in a task-oriented learning process. Based on a hierarchical graph model which can describe relations among learning actions, learning activities, learning sub-tasks and learning tasks, we introduce the formal definit...
Article
Due to the abilities of real-time sensing and information sharing, Wireless Sensor Network (WSN) has been applied in more and more fields. Basing on the emergence of Internet of Things (IoT), the issue about heterogeneous network integration is becoming more important. We first analyze the new businesses that arise recently for cell phone users as...
Article
The computational infrastructure of a Smart Grid requires the handling of an enormous amount of information produced by numerous networked systems and sensors, such as smart meters for power consumption, home power generators, and power controllers, to be handled. However, various data formats are used by sensors and systems in a Smart Grid. As suc...
Article
With the rapid development of sensor networks, the problems, such as how to improve the efficiency of data transmission, how to make sensor network more intelligent, are focused by more and more researchers. In this study, we propose an integrated solution, in which a semantic-Addressable messaging network is created and overlaid on an IP network,...
Conference Paper
Recommender system is a focus in the age of information explosion. In this study, with the benefit of social networking service, we propose a User-Centric Integrated Recommendation Model based on combining of users' individualities and commonalities, in which users' interests are focused and their transitions are traced by analyzing users' informat...
Conference Paper
In this study, we concentrate on learning activity sharing and individualized recommendation based on dynamical user correlations, in order to support and facilitate the web-based learning process integrated with social streams. A user correlation-based learning activity model is built to demonstrate the relations among user, learning task and lear...
Article
In the study, we propose an integrated adaptive framework to support and facilitate individualized learning through sharing the successful process of learning activities based on similar learning patterns in the ubiquitous learning environments empowered by Internet of Things (IoT). This framework is based on a dynamic Bayesian network that gradual...
Conference Paper
Sharing learning activity in and cross various systems is a prospective approach to implement OLP (Open Learning Process), a paradigm to share the knowledge generated in the learning process. The question is that the systems supporting teaching and learning are always separated and isolated. To implement OLP, firstly a uniform description of learni...
Article
In this paper, we analyze the protocol architecture of Wireless Sensor Networks (WSNs) and carrying networks, and propose a connection scheme based on gateway, which is suitable to the integration of these two networks. According to the characteristics of these gateways, we put forward the concept of end-to-end connection, give the address mapping...
Article
This paper describes an integrated approach to provide an optimized learning process to students by analyzing the log data of learning activities and extracting their learning patterns. Our analysis results show that most of students almost always use their main learning patterns in their learning activities, and the learning achievement is affecte...
Article
Full-text available
In Underwater Acoustic Sensor Networks (UASNs), data route is often disrupted by link interruption which will further lead to incorrect data transmission due to high propagation delay, Doppler effect, and the vulnerability of water environment in acoustic channel. So how to correctly transmit data when there are interrupted links on the data path i...
Article
Full-text available
In view of unbalanced link bandwidth and node energy consumption in Underwater Acoustic Sensor Networks (UASNs), a distributed topology optimization control algorithm (EL-BatCA) is proposed, which is based on balanced network energy and load. A hierarchical network model is designed based on minimum-hop, by which the nodes are divided into n layers...
Conference Paper
This study aims to provide learners with appropriate learning activities navigation based on a learning process recommendation system that gradually adapts to their needs. A learning activity consists of a series of purposeful learning actions with a specific sequence. In the system, user profile is generated from various learning related activitie...
Article
The wide prospects of application of Underwater Acoustic Sensor Networks (UASNs), promoting the technology of UASNs. Network topological structure makes a strong impact on the throughput, power consumption and stability of network, wherefore it is important to optimize topological structure of network for UASNs. The underwater acoustic channel is c...
Article
This paper proposes a topology control method based on formation maintenance and nodes in different groups, which mainly involves issues on the network topology variation caused by the inconsistent velocities of all nodes and communication failure between local nodes and different groups in mobile robot team. It embodies the important role of forma...
Article
Full-text available
Multi-Robot Task Allocation is a crucial issue before performing a certain task. This paper deals with a distributed task allocation method based on some special relation defined according to the performance of history cooperation between two robots. The algorithm we propose here is named TARARC—a Task Allocation algorithm based on Robot Ability an...
Conference Paper
This study presents an integrated adaptive system to support and facilitate individual learning based on a recommendation model that gradually adapts to a learner's needs and information access behaviors, including various learning related activities, over different time spans. In this paper, we focus on describing the integrated framework and disc...
Conference Paper
Task allocation for mobile robots team is a crucial issue before performing a certain task. The algorithm we propose here is named RARGC-a task allocation algorithm based on robot ability and relevance with group collaboration, where robot ability is weighted by belief degree, relevance stands for a fresh concept of ¿history relevance¿ between ev...
Conference Paper
In this study, we propose a gradual adaption model for a Web recommender system. This model is used to track users' focus of interests and its transition by analyzing their information access behaviors, and recommend appropriate information. A set of concept classes are extracted from Wikipedia. The pages accessed by users are classified by the con...
Conference Paper
Recently, there has been a growing interest in monitoring aqueous environments using Underwater Acoustic Sensor Networks (UASNs). In these networks, the Medium Access Control (MAC) protocols are responsible for coordinating the access from active nodes into the acoustic channel, which is characterized by high propagation delay and low data rate, wh...
Article
Full-text available
In this study, we propose a gradual adaption model for information recommendation. This model is based on a set of concept classes that are extracted from Wikipedia categories and pages. Using the extracted information, data representing the users' information access behavior is collected by a unit of one day for each user, and analyzed in terms of...
Article
Wireless sensor networks (WSNs) are becoming a viable tool for many monitoring applications. In many cases these applications may be of critical nature where the transmitting of vital information from sensors to base station or sink is crucial, and data loss cannot be tolerated. As a result, the information transmission of wireless sensor networks...
Article
Recently, there has been a growing interest in monitoring aqueous environments using Underwater Acoustic Sensor Network (UASNs), which is considered as a novel tool in exploring ocean also in small aqueous environments such as lakes, rivers. Network topology is a crucial factor in determining energy consumption, capacity and reliability of a networ...
Conference Paper
Routing protocol is very important in wireless sensor networks (WSNs), which decides the network organization and the route for data transmitting. As many routing protocols have been proposed, they can be divided into hierarchical routing, location-based routing and on-demand routing protocol. Hierarchical routing protocols such as LEACH, PEGASIS c...
Article
In this study, we propose a gradual adaption model for estimation of user information access behavior. A variety of users’ information access data are collected by unit of a day for each user, and analyzed in terms of short, medium, long periods, and by remarkable and exceptional categories. The proposed model is then established by analyzing the p...
Conference Paper
It is well known that alongside with search engine performance improvements and functionality enhancements one of the determinant factors of user acceptance of any search service is the interface. This factor is particularly important for mobile Web search mostly due to small screen limitations of handheld devices. In this paper we propose scrolles...
Conference Paper
Estimating the positions of sensor nodes is a crucial task in many wireless sensor network (WSN) applications. On the ZigBee compatible sensor nodes we have developed, received signal strength indication (RSSI) is adopted as a coarse but simple method of distance estimation. Based on ROCRSSI, we propose a hybrid approach, ring overlapping based on...
Conference Paper
Routing protocols in sensor networks play an important role and have obtained much attention. There are two main routing mechanisms for sensor networks: proactive routing and on-demand routing. As for the disadvantages of energy un-efficiency for the two traditional protocols, and the disadvantages of the mode to trigger the routing, this paper pro...
Conference Paper
Keyphrases are essential for many text mining applications. In order to automatically extracting keyphrases from Chinese text, an extraction system is proposed in this paper. To access a particular problem of Chinese information processing, a lexicon-based word segmentation approach is presented. For this purpose, a verb lexicon, a functional word...
Conference Paper
As for the extremely unpredictable factors of Distributed Sensor Networks (DSNs) with constrained resources operating in an unattended mode in uncertain dynamic environments, the behavior evaluation of sensor-network nodes is vital to architecture of autonomic and fault-tolerant DSNs. Because of Bayesian probability incapability of capturing episte...
Article
Aimed at general devices development, this paper discussed the development of USB interface and software development. With an example, using PDIUSBD12 which support parallel interface, the paper analyzed its technical characteristics. Designed different interface circuit with 80C52 singlechip microcomputer and TMS320C54 series digital signal proces...

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