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In this paper, a new set of data signatures is derived to obtain better Vector Fusion 2D visualizations of a time series and periodic nD traffic data set as compared with previous work. The latter had used the entire Power Spectrum components for visualization purposes to produce 2D representations of each subset of the data. With the feasibility of obtaining a smaller representation of the data set...
This paper presents a novel approach for contents-based medication image retrieval from a drug image database based on the shape and color information of the drug pill images. The shape information of the drug image represented as a signature and HSV color model from the images are used to distinguish a medication from a set of medication images. To retrieve an image from a large image database, we...
This paper presents the condition and methodology that the library ought to have when the library is considered as an information recommendation organization. University library is expected to be in an educational standpoint, and expected to achieve the students support. This paper proposes the pushbased book recommendation system as a new library model which considers the students' data in the campus...
Web services composition is a new software development paradigm, and it is a key point to achieve serviceoriented computing currently. For meeting the QoS requirements of consumers, this paper presents the QoS calculation rules and formalizes the services composition as the combinatorial optimization problem. In order to solve services composition, a new algorithm based on QPSO algorithm is proposed,...
In estimating the number of failures using the truncated data for the Weibull model, we often encounter a case that the estimate is smaller than the true one when we use the likelihood principle to conditional probability. In infectious disease predictions, the SIR model described by simultaneous ordinary differential equations are often used, and this model can predict the final stage condition,...
Recently, it is not rare to see the news of the scarcity of employment opportunity of college students on TV and newspaper article. Although people have getting lost interest in the problem, they have actual hardship day by day. Primarily, the scarcity of employment is caused by the deterioration of the college's level and the regional characteristics, and also by the deteriorating working conditions...
PBL (project-based learning) have proven to be effective in improving problem-solving abilities. This learning method is highly dependent on the expertise and experience of the professor, resulting in a broadening of the content and methods of PBL. This broadening has generated a difference in what a PBL student learns and how well they learn it. This research develops a support system for PBL and...
Neural networks are able to learn more patterns with the incremental learning than with the correlative learning. The incremental learning is a method to compose an associate memory using a chaotic neural network. The capacity of the network is found to increase along with its size which is the number of the neurons in the network and to be larger than the one with correlative learning. In former...
Collaborative activities of neurons in the network will be a typical working example in the biological system. Neurons look like to do respective different activities in the network. But, neurons communicate each other for performing an objective work. To control and process the all respective neurons efficiently in the neural network, the collaborative activities will give some clues for the principle...
Many companies promote their products by using advertisements for increasing their incomes. Traditionally, advertisements have been placed on some paper madia such as newspapers and magazines. However, there are many advertisements on the Internet searching services sites such as Google, Yahoo! and MSN. Each searching site gains their incomes in the Internet advertisements. The Internet advertisement...
There are many attempts to optimize information retrieval using various social concepts such as social annotations and social book marking. This paper explores the convergence of the information retrieval technique, the social network and the context-aware computing in order to improve information retrieval services. We propose a new ranking algorithm for the context-aware information retrieval. To...
With the advent of smart devices and the predominance of open platforms, security problems have been complicated and pivotal to security critical services such as mobile payment and banking, etc. While hardware technologies have been suggested to tackle this problem, we focus on the software-based approach. In this paper, we propose a secure execution environment that is designed to offer security...
in this paper, we proposed a real-time object recognition system under smart phone environments. The proposed object recognition system consists of two key modules: feature extraction and object recognition. Feature detectors such as Scale Invariant Feature Transform (SIFT) and Speeded Up Robust Feature (SURF) are good methods which yield high quality features, however they are too computationally...
The mobile Augmented Reality technology is one of the optimization technologies in the smart phone. In this project, we combine AR with tourism to develop tourism information system. The system can provide various kinds of information for restaurant, tourism places, regional contents, Olle trails, and historic sites in Jeju Island.
In this paper, we developed the vehicle collision warning system that detects car crash and warns the danger to drivers in advance. This vehicle collision warning system is implemented by using sensors and GPS system. Collision detection algorithm, vehicle identification module and management of collision warning system are implemented. With simulation, this system could help to reduce traffic accidents...
Thus far, most researches on the cooperative transmission focused on the reliability point of view, showing that we can significantly improve the reliability of data transmissions by the cooperative transmission. On contrary, in this paper, we study the performance of the cooperative transmission from different perspectives such as system throughput and fairness. We consider a three-node system that...
Most music recommender systems produce a set of recommendation based on user's previous preference. But the information is not always attainable. Focusing on the fact that music listening behavior is a repetitive action of playing one song at a time, we predict the next item based on user's currently selected items even when user's previous preference is not available. We propose a simple but effective...
This paper describes a real-time monitoring system for hydrogen safety. Hydrogen energy is a clean and unlimited resource that replaces fossil fuels. However, hydrogen can explode in the density range of 4% to 75% by an ignition source. Therefore, safety devices or safety systems are necessary in the use of hydrogen energy. We aimed to develop a real-time detection module and a real-time monitoring...
In recent years, rapid advancement of internet and communication technologies as a way of social communications has emerged as the SNS. This way of communication needs social data analysis method for the meaningful information. In addition, rapidly increasing social data causes the lack of reliability of the information in the community. Therefore, an effective semantic analysis method is required...
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