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In the process of large-scale chemical engineering, more useful industrial process information can be obtained by increasing measuring variables, defined as system features. However, the increase in amount of features will lead to the high computation cost and reduce the efficiency of the process monitoring system. To solve this issue, those features that are redundant or bring an incorrect result...
In clinical examinations, acoustic methods are non-invasive and inexpensive diagnostic tools for the assessment of aortic and vascular stenosis or occlusion. To ensure the early detection of a dysfunctional arteriovenous access (AVA), we developed a monitoring interface by using phonoangiography (PCG) techniques to examine stenosis among hemodialysis patients. AVAs are vital lines for hemodialysis...
This paper introduces a method to recognize the area of diseased trees from LiDAR point clouds automatically. Airborne LiDAR technology can acquire high-precision 3D information of tree structures, and provides a new possibility to monitor forest diseases and insects on a large scale. Based on the differences of tree canopy of the diseased and healthy trees, this paper researches the vertical structure...
The Bio-inspired Autonomous Infrastructure Monitoring (BioAIM) system detects anomalous behavior during the deployment and maintenance of a wireless communication network formed autonomously by unmanned airborne nodes. A node may experience anomalous or unexpected behavior in the presence of hardware/software faults/failures, or external influence (e.g. natural weather phenomena, enemy threats). This...
Climate change and global environment has become one of the most popular topics. Our understanding of the Earth is expanding for geoinformation technological developments. Scientists, developers and many others have used geoinformation technology to better understand global environment change. Remotely-sensed radiative transfer models, quantitative retrieval theory, data acquisition technology and...
A lot of lakes or reservoirs have faced the problem of eutrophication in China, especially in Southern China. However, now it spreads to reservoirs and rivers in Northern China. An eutrophication control and algal bloom prevention system is outlined in this paper which based on the nature environment of the research waterbody and the eutrophied process control experiences. As a study case, Panjiakou...
This paper proposes a Realized Trading Volatility (RTV) model for dynamically monitoring anomalous volatility in stock trading. Specifically, the RTV model first extracts the sequences for price volatility, volume volatility, and realized trading volatility. Then, the K-means algorithm is exploited for clustering the summary data of different stocks. The RTV model investigates the joint-volatility...
Water consumption of plants is a key parameter for formulating irrigation system, and the precise prediction play a important role in improving the use efficiency of limited water resources. In this experiment, by using the method of artificial neural network and MATLAB DATA PROCESSING SYSTEM combined with the meteorological data of air temperature, relative air humidity, solar radiation, wind speed,...
Operational risk has become major field of research on risk management in global banking. The spirit of open, cooperation, equality and globalization advocated by Internet has changed the business of commercial banks completely and largered their operational risk several times. Based on introducing the definition and characteristics of operational risk, this paper analyses the development trend of...
A ComGIS-based risk evaluation and warning system was developed to ensure the safety of water sources in lower reaches of the Yangtze River. The whole transaction of water sources protection including monitoring, risk evaluation and warning was covered by the system, and functions of online monitoring, water quality modeling, risk analysis and warning was developed and integrated on the same platform...
The information involved in the process of HR outsourcing is non-symmetrical, it is a certain degree of difficulty that Outsourcing Supplier achieves to maximize the interest in the process of cooperation. Based on principal - agent relationship and in view of outsourcing supplier no understanding the effort level of outsourcing service vendor, setting up the non-continuous effort level outsourcing...
The pig growth environment is one key factor which affects breeding economic efficiency, this paper has developed distributed automatic control system of pig house environment based on fieldbus, the system includes the networks of CAN bus and Intranet and GPRS, remote users access the system server through browser to monitor the on-site controlling units, in the growth environment, the controlling...
Many busy shopping districts have emerged with the rapid development of the Chinese economy. This project will help us develop a pedestrian flow prediction and risk management system (hardware and software) that may apply to many other shopping districts.
Pollution sources census and monitoring is one of the most important work in environment protection and management, which means a lot to environment planning and macro-control. Firstly, this paper analyzes the characteristics of pollution source census data and points out the similarity and common problems of existent environment information systems. Then proceeds to build a pollution sources census...
Virtual human can simulate many kinds of real human actions in virtual combat environment. An important characteristic of a virtual human is the ability to direct its perceptual attention to objects and locations in a virtual environment in a manner that looks believable and serves a functional purpose. We have developed a computational model of perceptual attention that mediates top-down and bottom-up...
It is difficult to achieve cooperation in team production because there is an intrinsic free-riding problem. This paper incorporates inequity aversion, which has been ignored by the standard contract theory, but has also been proven by a series of game experiments, to systematically investigate how peer pressures stem from horizontal monitor and comparison, why peer sanction with cost still will be...
This paper introduced our independently developed media monitoring system on city image from five aspects: background, process, architecture, index and application. The system targets on monitoring, analyzing and evaluating a city's image, then help the city accurately know about itself, monitor its news and issues, propose its public relations strategies, market its city brand while perfectly shape...
Using particle swarm optimization (PSO) to optimize BP neural network model is proposed in this paper. The new model is more quickly and accurate. The basic idea of this model is: Firstly PSO is used to optimize the BP neural network's initialized weights, an optimized result is got; then based on the optimized result the BP neural network is used for further optimization. We can use this model for...
Supervisory systems show increasing importance in many plants to ensure the secure and stable production. And the fault tolerance ability is a key problem. Concerned with the problem of low automation level and high operation cost, a layered Bio-Network is studied inspired by biology system, and Bio-Entity as its functional unit is analyzed. In the bottom layer, the communication infrastructure is...
Failure science is the new branch of management science. Failure science starts from revealing hidden disharmony factors in matters, studies the path and the source of risk that lead to failure, and provides methods to avoid failure according to the warning sign of failure. In this article, the author applies reverse thinking of principle of failure science to achieve the goal of making technological...
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