Journal of Korea Spatial Information System Society
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v.7
no.2
s.14
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pp.47-56
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2005
Recently, with the rapid development of mobile computing, wireless positioning technologies, and the generalization of wireless internet, LBS (Location Based Service) which utilizes location information of moving objects is serving in many fields. In order to serve LBS efficiently, the location data server that periodically stores location data of moving objects is required. Formerly, GIS servers have been used to store location data of moving objects. However, GIS servers are not suitable to store location data of moving objects because it was designed to store static data. Therefore, in this paper, we designed and implemented an extended SLDS(Short-term Location Data Subsystem) for real-time Location Based Services. The extended SLDS is extended from the SLDS which is a subsystem of the GALIS(Gracefully Aging Location Information System) architecture that was proposed as a cluster-based distributed computing system architecture for managing location data of moving objects. The extended SLDS guarantees real-time service capabilities using the TMO(Time-triggered Message-triggered Object) programming scheme and efficiently manages large volume of location data through distributing moving object data over multiple nodes. The extended SLDS also has a little search and update overhead because of managing location data in main memory. In addition, we proved that the extended SLDS stores location data and performs load distribution more efficiently than the original SLDS through the performance evaluation.
Text filtering is a task of deciding whether a document has relevance to a specified topic. As Internet and Web becomes wide-spread and the number of documents delivered by e-mail explosively grows the importance of text filtering increases as well. The aim of this paper is to improve the accuracy of text filtering systems by using machine learning techniques. We apply AdaBoost algorithms to the filtering task. An AdaBoost algorithm generates and combines a series of simple hypotheses. Each of the hypotheses decides the relevance of a document to a topic on the basis of whether or not the document includes a certain word. We begin with an existing AdaBoost algorithm which uses weak hypotheses with their output of 1 or -1. Then we extend the algorithm to use weak hypotheses with real-valued outputs which was proposed recently to improve error reduction rates and final filtering performance. Next, we attempt to achieve further improvement in the AdaBoost's performance by first setting weights randomly according to the continuous Poisson distribution, executing AdaBoost, repeating these steps several times, and then combining all the hypotheses learned. This has the effect of mitigating the ovefitting problem which may occur when learning from a small number of data. Experiments have been performed on the real document collections used in TREC-8, a well-established text retrieval contest. This dataset includes Financial Times articles from 1992 to 1994. The experimental results show that AdaBoost with real-valued hypotheses outperforms AdaBoost with binary-valued hypotheses, and that AdaBoost iterated with random weights further improves filtering accuracy. Comparison results of all the participants of the TREC-8 filtering task are also provided.
Price is an important marketing issue in current competitive environment characterized by various distribution channels such as economic circumstance and the Internet. Many companies, for their best profits, use a price discrimination strategy such as price discount that reinforces consumer's purchasing behavior and they employ advertising strategy by presenting reference price with information of price discount in advertisements. Accordingly, many research verifies the advertising effects of presented reference price in advertisements, this study tries to expand the existing study area which is limited on reference price of product by examining the its effects on service area. It also aims to verify the effects of reference price advertisements by the level of service reputation. For this experiment, a factorial design with service reputation and presented method of reference pricewas used. The result of this study is that attitude toward price and use intention on presented reference price in service advertisements are higher than not presented it. In the case of high service reputation, advertising effect on presented reference price in service advertisements are greater than presented price discount rates in service advertisements. And in the case of low service reputation, advertising effects can be much greater by just presented reference price in service advertisements. Therefore, in service advertisements, strategic views on presented methods of reference price by the level of service reputation are essentially needed.
The quantitave increase and qualitative development in the game industry leads to bitter competition and makes game companies struggle to find better ways promoting their own games. The game trailer is one of the critical ways to publicize diverse games by showing visual images directly. There are three reasons why the game trailer comes into the spotlight these days; the rapid growth of the Internet speed handling the large size of files, the remarkable development of visual image quality just like digital movies, and the advent of video websites such as You Tube that shows huge amount of videos regardless of the type and size. However, there are not enough amount of research on the game trailer because using game trailers as the marketing source is still at an early stage. Therefore, this research focuses on providing characteristics of game trailers that are available for practical market analysis. First, this research shows that game trailers can be divided by the category of display, style, and contents type. Second, this research provides the component parts of game trailers that are divided into contents factors such as characters, backgrounds, events and promotional factors such as title, production company name, distribution company name. Third, this research explores research frames that would be needed to analyze marketing strategies, effects of game trailers, production pipelines and so on. These categorizations would be useful for producing game trailers efficiently and utilizing them effectively.
In recent years, many institutions predict that cloud services and big data will be popular IT trends in the near future. A number of leading IT vendors are focusing on practical solutions and services for cloud and big data. In addition, cloud has the advantage of unrestricted in selecting resources for business model based on a variety of internet-based technologies which is the reason that provisioning and virtualization technologies for active resource expansion has been attracting attention as a leading technology above all the other technologies. Big data took data prediction model to another level by providing the base for the analysis of unstructured data that could not have been analyzed in the past. Since what cloud services and big data have in common is the services and analysis based on mass amount of data, efficient operation and designing of mass data has become a critical issue from the early stage of development. Thus, in this paper, I would like to establish data processing architecture based on technological requirements of mass data for cloud and big data services. Particularly, I would like to introduce requirements that must be met in order for distributed file system to engage in cloud computing, and efficient compression technology requirements of mass data for big data and cloud computing in terms of cost-saving, as well as technological requirements of open-source-based system such as Hadoop eco system distributed file system and memory database that are available in cloud computing.
Lee, Young Soon;Bang, Hyeon Ho;Du, Xin Yi;Lee, Hye Won;Li, Feng Xiao;Jeon, Hyo Ju;Jun, Young Mi
Journal of the East Asian Society of Dietary Life
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v.22
no.6
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pp.758-771
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2012
This research contains awareness of antioxidant and intakes of antioxidant foods for the present evaluate college students in Seoul, 375 patients were investigated. The subjects, the woman college student more than male's responded, showed a uniform distribution in the allowance, grade and the most type of residence is living apart from their family. All male and female college students recognize a lot about health, but male college students had higher than female students interested in the health, on the other hand, female college students had higher than male college students for the health efforts for the promotion of a healthy. Awareness about the oxide and active oxygen is moderate level, but knowledge about active oxygen is low level, they responded that active oxygen was caused when received stress or do strenuous exercise. General Health Functional Foods recognized that the usual intake, but intake of antioxidant was when the activity was caused by active oxygen. They recognized that the antioxidant effect is anti-aging and vitamin, wine and tea, were perceived as antioxidant foods, are popularly known. Usually, people was initially recognized through the internet in university or high school, they desire to obtain information was high but the effort to gain understanding and knowledge about antioxidant are relatively low. The result of comparing the difference of natural antioxidant foods and antioxidant healthy functional foods, recognizes of effects and absorption rate are similar, but recognizes that natural food intake is better recognition in the economics and health functional food is better recognition in the easy intake and nature foods was more preferred than functional foods because of nature friendly. Trying to intake of antioxidant foods is low, but people is expected anti-aging and fatigue recovery through the intake of antioxidant food. People think that intake is irrelevant to the season, but summer is higher than other seasons. Showed that efficacy perceptions about health supplements are higher, but efficacy perceptions about antioxidant health supplements when ingested are at a moderate level, which is lower, due to low antioxidant for understanding. Antioxidant functional health food intake will be affected the gifts or the people around them and purchase is also more influenced by surround people than themselves. So showed that most college students prefer natural antioxidant foods than antioxidant health supplements, in case of ingested antioxidant health supplements also showed that it was consumed by surround people than personal will.
Journal of the Institute of Electronics Engineers of Korea TC
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v.48
no.11
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pp.44-52
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2011
In this article, we present a QoS-guaranteed IP mobility management scheme of Internet service for fast moving vehicles with multiple wireless network interfaces. The idea of the proposed mechanism consists of two things. One is that new wireless connections are established to available wireless channels whenever the measured data rate at the vehicle equipped with mobile gateway drops below to the required data rate of the user requirement. The other is that parallel distribution packet tunnels between an access router and the mobile gateway are dynamically constructed using multiple wireless network interfaces in order to guarantee the required data rate during the mobile gateway's movement. By doing these methods, the required data rate of the mobile gateway can be preserved while eliminating the possible delay and packet loss during handover operation, thus resulting in the guaranteed QoS. The architecture of the IETF standard HMIPv6 has been extended to realize the proposed scheme, and detailed algorithms for the extension of HMIPv6 has been designed. Finally, simulation has been done for performance evaluation, and the simulation results show that the proposed mechanism demonstrates guaranteed QoS during the handover with regard to the handover delay, packet loss and throughput.
Domestic PB products have emerged and been distributed by hypermarkets, department stores, convenience stores, as well as TV home shopping channels and Internet shopping malls. However, the fierce competition among the distributors due to the emergence of the PB products have caused the diversion of consumers' recognition to be reduced weight and volume as well as had the effect of misleading consumers about the prices. The width of the PB product price's up and down is larger than the width of the NB product. Thus, following consumers' purchases of PB products, there has been an increasing number of consumer complaints. In order to research consumers' recognition of PB products and to examine how consumers' recognition and information search comparative to PB products affect consumers' dissatisfaction, an online survey targeted consumers with experience purchasing PB products. This study was conducted and analyzed using SPSS 19 Statistics. The findings can be summarized as follows. Even though more consumers who frequently purchased and used the PB products, the more they compared with information search comparative to the NB product and then purchased the PB product. We investigated the result that the relevant variables of consumer complaints have some relative influence in the purchasing of PB products. There will be a higher probability o the group having high recognition about price and safety not making consumer complaints in comparison with the probability of other consumers making complaints after the purchase of a PB product. Therefore, based on the results of this study, companies need to build a system so that they can figure out consumers' needs in order to prevent the occurrence of consumer complaints related to the products of distribution companies' brands. By means of the system, it is also necessary for companies to collect consumer complaints and analyze them by category. Then they eventually should develop a consumer-centered management system which may contribute to quality improvement, product development and the reduction of consumer complaints.
Among the methods of precipitation data acquisition, a rain gauge station has a distinctive advantage of direct measurement of rainfall itself, but multiple stations should be installed in order to obtain areal precipitation data required for hydrological analysis. On the other hand, a rainfall radar may provide areal distribution of rainfall in real time though it is an indirect measurement of radar echoes on rain drops. Rainfall radars have been shown useful especially for forecasting short-term localized torrential storms that may cause catastrophic flash floods. CAPPI (Constant Altitude Plan Position Indicator), which is one of the several types of radar rainfall image data, has been provided on the Internet in real time by Korea Meteorological Administration (KMA). It is one of the most widely available rainfall data in Korea with fairly high level of confidence as it is produced with bias adjustment and quality control procedures by KMA. The objective of this study is to develop an improved way to extract quantitative rainfall data applicable to even very small watersheds from CAPPI using CIVCOM, which is a new image processing method based on a vector-based scheme proposed in this study rather than raster-based schemes proposed by other researchers. This study shows usefulness of CIVCOM through comparison of rainfall data produced by image processing methods including traditional raster-based schemes and a newly proposed vector-based one.
Journal of the Korea Institute of Information Security & Cryptology
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v.29
no.6
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pp.1243-1257
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2019
With the emergence of the IoT environment, various smart devices provide consumers with the convenience and various services. However, as security threats such as invasion of privacy have been reported, the importance of security issues in the IoT environment has emerged, and in particular, the security problem of key management has been discussed, and the PUF has been discussed as a countermeasure. In relation to the key management problem, a protocol using MIPUF has been proposed for the security problem of the group key management system. The system can be applied to lightweight IoT environments and the safety of the PUF ensures the safety of the entire system. However, in some processes, it shows vulnerabilities in terms of safety and efficiency of operation. This paper improves the existing protocol by adding authentication for members, ensuring data independence, reducing unnecessary operations, and increasing the efficiency of database searches. Safety analysis is performed for a specific attack and efficiency analysis results are presented by comparing the computational quantities. Through this, this paper shows that the reliability of data can be improved and our proposed method is lighter than existing protocol.
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