Hospital Information system (HIS) is the application of computer technology, communication technology and management science to hospital information management. The significance, status and problems of HIS in China ar...
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ISBN:
(纸本)9783037855744
Hospital Information system (HIS) is the application of computer technology, communication technology and management science to hospital information management. The significance, status and problems of HIS in China are analyzed. Then, a HIS architecture is designed that is divided into five sub-systems, namely, clinic sub-system, inpatient sub-system, medicine sub-system, inspection sub-system and management sub-system. Finally, its B/S structure and distributed mode are presented. Using HIS can strengthen hospital management and improve medical treatment quality.
Chlorophyll fluorescent information is closely related to the vital movement of a plant, so it can be used as a probe of the natural environment so as to quickly and accurately reflect the state of the environment aro...
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ISBN:
(纸本)9781479907571
Chlorophyll fluorescent information is closely related to the vital movement of a plant, so it can be used as a probe of the natural environment so as to quickly and accurately reflect the state of the environment around plants. A studying method of the plant leaves chlorophyll fluorescence image combining with remote sensing technology is presented in this paper. The system is designed and established to obtain the fluorescence image information of different plants in different states using an Nd:YAG solid-state laser as its excitation light source and an ICCD as the experimental image detector. The image information features are analyzed with pseudo-color enhancement, image synthesis using RGB color model and other methods. The results show that the fluorescence image can effectively reflect the texture, damage as well as the physiological state of a plant leaf, which can provide technical references for the further research on the impact of the change in environmental conditions by the fluorescence characteristics of plants.
In the face of climate change, city development should take into account the concept of energy saving and carbon reduction. This study aims to use 3D building modeling and computer simulation to assess the impact of t...
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ISBN:
(纸本)9783037857922
In the face of climate change, city development should take into account the concept of energy saving and carbon reduction. This study aims to use 3D building modeling and computer simulation to assess the impact of the residential building balcony on indoor thermal environment. "Pufangtian" residential building in the northern Taiwan was selected as research object since it was the first to pass the Golden Certification set by Taiwan Green Building Rating system (EEWH). According to the average temperature from 1981-2010 meteorological statistics data issued by Taiwan's Central Weather Bureau, this study had calculated the warmest day & the coldest day as the time for simulation. The simulation results could provide residential building design, in addition to comfort and innovation, with the concept of energy saving and carbon reduction, which will further advance the development of Green Building.
Since 2010 our research team in-depth study on the subject "Computational intelligence logistics distribution management system". This is the interdisciplinary research, involving computer science, intellige...
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New information leading to the Internet, P2P, Ubiquitous, and smartphone has appeared paradigm. The main contents of the information paradigm are the 'open' and 'standard'. Full security incidents acco...
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The support vector machine (SVM) has been successfully applied in the short-term load forecasting area, but its learning and generalization ability depends on a proper setting of its parameters. In order to improve fo...
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ISBN:
(纸本)9783037855515
The support vector machine (SVM) has been successfully applied in the short-term load forecasting area, but its learning and generalization ability depends on a proper setting of its parameters. In order to improve forecasting accuracy, aiming at the disadvantages like man-made blindness in the parameters selection of SVM, In this paper, the chaos theory was applied to the PSO (particles swarm optimization) algorithm in order to cope with the problems such as low search speed and local optimization. Finally, we used it to optimize the support vector machines of short-term load forecasting model. Through the analysis of the daily forecasting results, it is shown that the proposed method could reduce modeling error and forecasting error of SVM model effectively and has better performance than general methods.
While cyber-physical system (CPS) has grown in size and complexity, the existing single node failure of system are confronting some serious challenges. The strong coupling of software and physical processes in the eme...
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According to the poor effect of current aircraft airborne equipment, a method based on the Neural Network and Dempster-Shafer evidence theory information fusion is put forward. As the important aircraft airborne equip...
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ISBN:
(纸本)9781467355339
According to the poor effect of current aircraft airborne equipment, a method based on the Neural Network and Dempster-Shafer evidence theory information fusion is put forward. As the important aircraft airborne equipment, the aero-engine, whose lubrication system works properly or not, directly affect the operation of the aero-engine condition. This paper will study on the condition monitoring of lubrication system of aero-engine. Firstly, through the aero-engine lubrication condition monitoring professional system, the performance status information will be got. Then given to the large amount of information we acquired, two neural networks are used to diagnose respectively. In order to improve the accuracy of the health condition monitoring ,on this basis, Dempster-Shafer evidence theory is used to conduct a information fusion of the results to the above two neural networks. The advantages of the method of artificial neural network and D-S evidence theory are effectively improved the diagnostic accuracy. So this paper gives a good health diagnosis method, and it has a good value of engineering application.
We propose an algorithm for detecting vehicle positions and their movements by using thermal images obtained through an infrared thermography camera. The proposed algorithm specifies the area of moving vehicles based ...
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Classification of breast abnormalities such as masses is a challenging task for radiologists. computer-aided Diagnosis (CADx) technology may enhance the performance of radiologists by assisting them in classifying pat...
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Classification of breast abnormalities such as masses is a challenging task for radiologists. computer-aided Diagnosis (CADx) technology may enhance the performance of radiologists by assisting them in classifying patterns into benign and malignant categories. Although Neural Networks (NN) such as Multilayer Perceptron (MLP) have drawbacks, namely long training times, a considerable number of CADx systems employ NN-based classifiers. The reason being that they provide high accuracy when they are appropriately trained. In this paper, we introduce three novel learning rules called Opposite Weight Back Propagation per Pattern (OWBPP), Opposite Weight Back Propagation per Epoch (OWBPE), and Opposite Weight Back Propagation per Pattern in Initialization (OWBPI) to accelerate the training procedure of an MLP classifier. We then develop CADx systems for the diagnosis of breast masses employing the traditional Back Propagation (BP), OWBPP, OWBPE and OWBPI algorithms on MLP classifiers. We quantitatively analyze the accuracy and convergence rate of each system. The results suggest that the convergence rate of the proposed OWBPE algorithm is more than 4 times faster than that of the traditional BP. Moreover, the CADx systems which use OWBPE classifier on average yield an area under Receiver Operating Characteristic (ROC), i.e. Az, of 0.928, a False Negative Rate (FNR) of 9.9% and a False Positive Rate (FPR) of 11.94%. (C) 2012 Elsevier Ltd. All rights reserved.
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