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This research analyzed the current status pertaining to the sport industry's information system and information network in Korea to propose integrated information network of sport industry construction measures with the goal of optimizing vertical and horizontal network formation, and knowledge information sharing and dissemination. To construct integrated information network of sport industry, literature...
With the advent of modern online services such as cloud, security of remote machines has become a major concern. Remote Attestation is a term recently introduced by the Trusted Computing Group that enables a platform owner to the remotely verify the trusted state of the client platform. For this purpose, TCG based attestation or Integrity Measurement Architecture is proposed. The major problem with...
Requirement Engineering is now established is the most critical phase in software engineering and development due to the fact that success or failure of any project depends greatly on wise and correct decisions made and strategies adopted during this phase. However, the great irony is that most of the requirement engineering still relies on outdated, manual and flawed strategies of past decades. The...
Human immunodeficiency virus (HIV) / Acquired immune deficiency syndrome (AIDS) is a major global health problem. It is the greatest threat to the reconstruction and development of South Africa. Advances in Information and Communication Technology (ICTs) have facilitated development of medical expert systems. They have proved their usefulness since they can provide; precise, quick and inexpensive...
Security of computers and the networks that connect them is increasingly becoming of great significance. As an effect, building effective intrusion detection models with good accuracy and real-time performance are essential. In this paper we propose a new data mining based technique for intrusion detection using Cost-sensitive classification and Support Vector Machines. We introduced an algorithm...
In this paper we present an artificial neural network based motion and path planning system of a wheeled mobile robot navigating among stationary and moving obstacles. The neural network is aware of its distance sensor readings and its relative position from the target. The neural network is used in this system as a controller, and it is trained using a previously proposed extension of the backpropagation...
Power electronics applications have become ubiquitous among electronic products today. As a consequence, a great increase on the demand of professionals by the industry has been observed. This has a direct consequence on the electrical and electronics engineering curricula, as they have to meet the requirements of an industry with an increasing number of products requiring power electronics solutions...
In this paper, we demonstrate the usefulness of the micro-manipulation system with a robotic straw proposed by the authors for the microorganism isolation task. Isolating microorganism is one of the fundamental bio-manipulation tasks. This task has been conventionally achieved with a straw connected with a rubber tube. However, some skill is required by an operator for this isolation task, because...
In order to study the impact of drivers' distance cognition difference on traffic safety in dynamic environment of daytime and night-time, a real road tests was carried out by asking 19 drivers randomly selected to percept the distances of obstacles with different distances and velocities on daytime and nighttime. The values of cognition are obtained by statistical methods. The distance cognition...
The labor market is always been closely linked with macroeconomic development. This paper has an in-depth analysis of the current labor market situation under financial crisis, and also shows the global financial crisis' influences on our labor market and enterprises' human resource management. Besides, in this paper, there are also countermeasures and suggestions on how to regulate the labor market...
Water resources sustainable use evaluation plays an important role in water resources planning and management, and it is a typical multi-goals, multi-layers and multi-attributes decision-making process, it needs to consider comprehensively social, economic, resources and environmental factors. A new evaluation index system of water resources sustainable utilization has been set up based on Yunnan...
In this paper, we make a contrastive study on the learning mechanism between Chinese-led bi-cultural teleworking teams and Norwegian-led bi-cultural teleworking teams from basic learning mechanism and remote learning mechanism. And then, we analyze the impact of cultural differences on learning mechanism, which is further verified through a typical case analysis. Finally, we give several suggestions...
In this paper, based on investigating and analyzing on the affecting factors for support type of development roadways as well as the successful support cases in Chengchao Iron mine, the improved BP neural network is put forward to study on the support type of development roadways. It may be seen from the learning course of learning samples and the prediction results of support types that whether the...
Strategic choice for enterprises is a complex multi-level question of decision-making, and the traditional qualitative methods can't meet the needs of the decision. Considering the various qualitative and quantitative indicators, this paper uses the fuzzy synthetic evaluation methods featuring in entropy of information based on SWOT to establish the strategic choice model of the decision-making, and...
The present problem of practical teaching management was analyzed, and the detailed ways was brought out to reform and improve management modes of practical teaching: sound regime, emphasizing practical teaching system, personnel construction and university and enterprise cooperation, increasing the hardware input, perfecting the system of quality protection and evaluation, and so on.
Support Vector Machine (SVM) is a useful technique for data classification with successful applications in different fields of bioinformatics, image segmentation, data mining, etc. A key problem of these methods is how to choose an optimal kernel and how to optimize its parameters in the learning process of SVM. The objective of this study is to propose a Genetic Algorithm approach for parameter optimization...
It has been 50 years since the idea popped up that calculating systems can be made on the replica of the biological neural networks. Still, the development of this science branch made the improvement of these systems possible only in the last 25-30 years. Nowadays, neural computing is a very extensive, separate science. Its solid theory basis made it possible to use them to solve many kind of problems...
Data mining is a technology in data analysis with rising application in sports. Basketball is one of most popular sports. Due to its dynamics, a large number of events happen during a game. Basketball statisticians have task to note as many of these events as possible, in order to provide their analysis. In this paper, we used data from the First B basketball league for men in Serbia, for seasons...
Evaluating road safety is essential in identifying the potential road safety hazard which could result in casualties and property losses. in this paper, a BP neural network was built by using neural network toolkit in "Matlab", Two similar roadways are used in calibrating and validating the network. The high level of predictability provided that the application of BP neural network model...
Based on 130t/h circulating fluidized bed boiler (CFBB)unit simulation, in virtue of computer simulation technology, using configuration method simulates the CFBB operation of personnel training, in order to avoid and reduce the operating personnel happening accident, enhance the operators in the process of accident emergency handling ability.Established the PID loop adjustment combustion system and...
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