Zhiliang Wang

A time based markov model for automatic position-dependent services in smart home

A smart home is likely in the near future. An important ingredient in an intelligent environment such as a home is automatic services, which means home system itself could know or predict what the inhabitant want to do, and so provide inhabitant the services automatically. Many researches reveal that most of the services in smart home are location-dependent so the automatic services must be built on the location awareness. In this paper we model inhabitant location pattern as a time based markov model (TMM). The simulation result shows that compared to the other models, the TMM has a set of benefits such as less time complexity, higher prediction accuracy and faster convergences rate. These benefits make TMM meets the requirements of automatic services in smart home.

Designing an Emotional Majormodo in Smart Home Healthcare

This paper presents a novel Human-Computer Interaction in smart home healthcare, which is an interdisciplinary research project between computer science, social work and psychology, an integration of human, smart home environment and healthcare services is connected with the intelligent interface, which processes sensory modalities input via facial, vocal, eye-tracking, and physiological signals, recognizing both the user’s healthy state and emotional state, building the emotion model based on Artificial Psychology theory, we propose the system can be accepted into the smart home environment to improve the healthcare interaction quality.

The Research of Oilfield Flood Precaution Decision Support System

Flood is one of the greatest disasters against oilfield manufacture. This paper first describes the key problem of oilfield flood control system, established a large oilfield flood control intelligent decision support system. Then the application research of reservoir grouppsilas flood prevention optimizing schedule algorithm was done based on multi-agent theory. According to the neural network mathematical model of oilfield reservoir, a novel algorithm of rainfall forecast was completed. Finally, on the basis of computer network technology and GSM wireless technologies, the application system was realized in order to expand the scope of flood dispatching decision-making method.

Automatic Object Tracking Using Edge Orientation Histogram Based CamShift

The automatic objects tracking in videos plays important roles in computer vision applications. In this paper, we propose an automatic object tracking method hybrid with GMM and edge orientation histogram based CamShift. GMM is applied to detect objects motion. Different moving objects are separated by connected component analysis. And CamShift is processed by using edge orientation histogram to track objects. We demonstrate the effectiveness and efficiency of this approach by experimenting on several video sequences.

Study and Realization of Construction Project Bidding System Based on XML and AHP-GRAM

This paper adopts XML technology to establish standard development of electronic tender, for which format is not unified in traditional construction project bidding system. In view the defects of subjective existing in traditional system, a model of construction project bidding system based on AHP-GRAM is put forward in this paper, which fully embody the important influence of indexes in the evaluation process, and finally realization scientific evaluation. Based on the above work, an bidding system for construction project is developed by the supporting techniques such as C#, XML and Web. The three–layer architecture of this system is constructed and its working flow is given. Its performance shows the feasibility and effectiveness of this system and provides important reference for the computer aided bidding system for construction project.

Design and implementation of an intelligent tutoring system for English instruction

This emotion based intelligent tutoring system for English instruction is designed to make up the lack of emotional factors in cognitive ability of traditional intelligent tutoring systems. Microsoft Agent is used as interactive platform in the system. Audio and image information is used as interactive methods. Result of emotional face image recognition is used as one of evaluation factors, to guide teaching strategies adjustment. During the teaching process, it could provide adaptable teaching strategy not only according to the test score but also current emotional study status of students.

Artificial Emotion Model Based on Neuromodulators and Q-learning

An emotion behavior learning model is presented for intelligent system in this paper. The proposed model was constructed on the basis of those corresponding relationships between emotions and neurotransmitters which was indicated by the brain science, neuromodulators and meta-parameters of Q-learning which made the learning process more adaptive to environment. The emotional effect on the learning capability of intelligent system was observed in two stimulation experiments. The results confirm that artificial emotion model could improve the actions of intelligent system.

Internet-Assisted Construction Project Evaluation System Based on XML Tender and the Hierarchy Fuzzy Comprehensive Evaluation Model

For the electronic format of the tender is not uniform in the market, which include bidding and tendering system and bid evaluation system of construction project, this paper proposed the solution of using XML establish electronic tender standard; Besides, relies on the traditional fuzzy-level evaluation model, this paper researched and set up the fuzzy evaluation model of double-level system, which facing with expert and tenderee. And on the basis of the two aspects, design and realize an internet-assisted construction project evaluation system. Its performance shows the feasibility and effectiveness of this system and provides important reference for the computer aided bid evaluation system.

Application research of network congestion control and intelligent terminal interaction based on inet protocol

In the background of digital home application, network congestion control and emotion cognition model on the basis of the intelligent terminals iNet protocol interactive system were studied. Firstly, network congestion model based on hidden markov model(HMM) were analyzed, the test and simulation on the linkage path were realized. Thus, the network congestion control and the network service quality were improved. Then, speech action control, emotional analysis and transformation algorithm in the intelligent terminal system were further studied. Finally, it is found that the simulation and the actual experiment results are in good agreement demonstrating the validity of the algorithm.

Study and realization of internet-assisted bidding system for construction project

This paper adopts XML technology to establish standard development of electronic tender, which format is not unified in traditional construction project internet-assisted bidding system. In view the lack of scientific evaluation of the decision-making model, the two-level system of fuzzy evaluation model based on single-weight system evaluation model is put forward for both experts and bidders so as to realize qualitative and quantitative evaluation. Based on the above work, an internet-assisted bidding system for construction project is developed by the supporting techniques such as C#, XML and Web. The three-layer architecture of this system is constructed and its working flow is given. Its performance shows the feasibility and effectiveness of this system and provides important reference for the computer aided bid evaluation system.