• International Commerce and Information Review
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• v.4 no.1
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• pp.21-38
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• 2002

1999년 7 월부터 시행된 "전자거래기본법"은 전자문서와 전자거래의 효력을 법적으로 인정하고 있다. 그러나 본 법률이 제정될 당시 UNCITRAL의 전자상거래 모델법(1996)을 그대로 답습하여 영미 법계와 달리 대륙법계인 우리 나라의 실정에는 맞지 않는 조항이 포함되고 법률의 체계도 기본법 체계라고 보기에는 어려운 법률제정체계 문제점도 등장하고 있다. 이에 따라 본 연구에서는 전자문서의 개념과 데이터, 기록물 등의 다른 개념과의 관계 재정립을 통한 전자문서의 정의재조명과 동법에서의 "전자거래" 개념의 해석을 통한 전자거래 개념의 발전방향을 살펴본 후 현재 동법과 전자서명법과의 관계해석을 통해 법제정 추진체계 및 방향에 대하여 검토하였다. 전자문서와 관련해서는 기존의 문서개념과 기능을 생각하건대 현재 각종 법률에서 언급되고 있는 전자문서의 개념은 제한적으로 해석되어야 한다. 문서라는 개념을 넘어서는 새로운 개념도입이 필요하다면, 디지털컨텐츠의 포함한 전자적 기록 내지 전자적 매시지라는 개념도입이 불가피하다. 그러나 이러한 방식은 재산권을 표상하는 정보(컨텐츠, 화폐가치의 정보 등)와 기존의 문서와 서면을 대신하는 정보를 혼합시켜 이해하게 만들어 오히려 해석상 혼란을 가중시킬 수 있다. 따라서 기존의 문서나 서면을 대체하는 '전자문서'라는 개념은 그대로 사용하되, 기타 정책목적상 필요하다고 판단되는 디지털 컨텐츠, 화폐가치를 표상한 정보(전자화폐, 전자자금 정보 등) 등은 개별법률에서 이에 관한 정의를 하고 규율을 하는 것이 바람직할 것이다. 전자거래와 관련해서는 본 개념을 전자문서와 관련시켜 파악해서는 안된다는 것을 전제로 강학적 의미로 전자거래의 해석부분은 이해를 하되, 특정한 법률에는 그 법률제정목적에 맞는 전자거래의 개념정의를 통해 법률제정 내지 개정목적을 달성하면 될 것이다. 전자거래를 포괄하는 법률은 가능하지도 않고 이것이 가능하다 하더라도 결국 포함되어야 하는 전자거래 관련 규정을 선별하는 것도 쉽지 않을 것이다.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.679-687
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• 2013

Currently, we are living in the era of digital media that puts the technologies in front which is called digital. Based on the characteristic of 'de-materialistic', human senses have been extended more than ever and there is no exception on those influences. Even though the existence of media seriously brought the identity and value of the painting into a question after the emergence of analog photos, advent of digital photos are raising the wind of new paradigms and values creation more seriously than ever. Unlike analog photos of the past which go through chemical process, true nature of digital photo goes through the digital process which is represented by 0 and 1. This didn't bring the loss of the original, but rather brought the creation of the copy which excels the original through retouching and consequently, destroyed the traditional value which is referred as an original. Like this, digital photo image has aesthetics and value of existence which is differentiated from analog photo because it has essentially different structures and characteristics with analog photo.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.3A
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• pp.221-231
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• 2006

TCP is needed as a transport protocol to provide reliable end-to-end message delivery for MANETs in order to achieve a smooth integration with the fixed Internet. Particularly, TCP has its variants, namely TCP-Reno and TCP-Vegas. However, there has been no research work on extensive performance comparison of TCP-Reno and TCP-Vegas over AODV and OLSR. This paper is the first trial to perform the research by using ns-2 simulator. Through the extensive simulations, we found that which to select among routing protocols is more important than which to select among TCP variants, because the performance difference between TCP-Reno and TCP-Vegas over uy selected routing protocol is not so much outstanding. Particularly, TCP-Vegas relies on an accurate BaseRTT estimation in order to decide the sending rate of a TCP Sender. However, it cannot be directly applied to MANET because a route change makes the Base an used over a Previous Path obsolete. Therefore, we propose a technique for improving the performance of TCP-Vegas by considering the route change, and show the performance improvement through simulation study.

• Journal of the Korean Data and Information Science Society
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• v.25 no.6
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• pp.1345-1352
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• 2014

Data mining is the representative methodology to obtain meaningful information in the era of big data.By Wikipedia, association rule learning is a popular and well researched method for discovering interesting relationship between itemsets in large databases using association thresholds. It is intended to identify strong rules discovered in databases using different interestingness measures. Unlike general association rule, inverse association rule mining finds the rules that a special item does not occur if an item does not occur. If two types of association rule can be simultaneously considered, we can obtain the marketing information for some related products as well as the information of specific product marketing. In this paper, we propose a balanced attributable relative accuracy applicable to these association rule techniques, and then check the three conditions of interestingness measures by Piatetsky-Shapiro (1991). The comparative studies with rule accuracy, relative accuracy, attributable relative accuracy, and balanced attributable relative accuracy are shown by numerical example. The results show that balanced attributable relative accuracy is better than any other accuracy measures.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.2
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• pp.517-520
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• 2005

Wireless sensor network combines sensing and computing technology which can sense light, temperature, vibration, magnetic field and wind etc, as each purpose of using those. Wireless nodes operate signal processing skill which has proceeded sensed information from the sensor, transmission which makes information reached to observer and limited energy managing skill which is needed on account of using battery to operate wireless. To make responsible measuring and sensing out of them, efficient energy management is so important to maintain life time of network. In this paper, after explaining CSMA/CA(Carrier Sense Multiple Access/Collision Avoidance) traditional wireless MAC protocol, and ER-MAC(Energy Rate Medium Access Control) which are not managing resource of hardware but MAN(Medium Access Control), data-link layer out of OSI 7 layer. We would like to analyze those efficiency of power saving comparing with each protocol.

• Journal of Navigation and Port Research
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• v.35 no.5
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• pp.381-385
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• 2011

In this paper, an economic feasibility study of wind-diesel hybrid power systems for an island in the Yellow Sea, where the maximum power generation is about 500kW, was performed. For the study, annual electric load variation and wind resource data of the island were collected and analyzed. HOMER program - a typical hybrid optimization model for electric renewables including wind resource, developed by the National Renewable Energy Laboratory - was used. Wind speed and diesel price were picked out as variables for the sensitivity analysis in order to find the economic accountability for the wind-diesel hybrid power system. As the result, even though it is not feasible economically under the present condition, if mean wind speed is over 3 m/sec. or diesel price goes up to 2.4 $ per liter, the wind-diesel hybrid power system for the island becomes a prospective candidate.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.4
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• pp.159-168
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• 2018

In recent, mobile augmented reality game which has been attracting high attention is considered to be an good approach to increase immersion. In conventional augmented reality-based games that recognize target objects using a mobile camera and show the matching game characters, touch-based interaction is mainly used. In this paper, we propose an intuitive interaction method which manipulates a deformable game object by moving a target image of augmented reality in order to enhacne the immersion of the game. In the proposed method, the deformable object is intuitively manipulated by calculating the distance and direction between the target images and by adjusting the external force applied to the deformable object using them. In this paper, we focus on the cloth deformable object which is widely used for natural object animation in game contents and implement natural cloth simulation interacting with game objects represented by wind and rigid objects. In the experiments, we compare the previous commercial cloth model with the proposed method and show the proposed method can represent cloth animation more realistically.

• Journal of KIISE:Databases
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• v.33 no.2
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• pp.163-174
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• 2006

In distributed wireless sensor network, it is difficult to transmit and analyze the entire stream data depending on limited networks, power and processor. Therefore it is suitable to use alternative stream data processing after classifying the continuous stream data. We propose a classification framework for continuous multivariate stream data. The proposed approach works in two steps. In the preprocessing step, it takes input as a sliding window of multivariate stream data and discretizes the data in the window into a string of symbols that characterize the signal changes. In the classification step, it uses a standard text classification algorithm to classify the discretized data in the window. We evaluated both supervised and unsupervised classification algorithms. For supervised, we tested Bayesian classifier and SVM, and for unsupervised, we tested Jaccard, TFIDF Jaro and Jaro Winkler. In our experiments, SVM and TFIDF outperformed other classification methods. In particular, we observed that classification accuracy is improved when the correlation of attributes is also considered along with the n-gram tokens of symbols.

• The KIPS Transactions:PartD
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• v.12D no.5 s.101
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• pp.755-764
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• 2005

Recently, as it is considered more important to identify the function of ail unknown genes in living things, many tools for gene prediction have been developed to identify genes in the DNA sequences. Unfortunately, most of those tools use their own schemes to represent their programs results, requiring researchers to make additional efforts to understand the result generated by them So, it is desirable to provide a standardized method of representing predicted gene information, which makes it possible to automatically produce the predicted results for a given set of gene data In this paper, we describe an effective U representation for various predicted gene information, and present an XML-based analysis tool for gene predication results based on this representation. The developed system helps users of gene prediction tools to conveniently analyze the predicted results and to automatically produce the statistical results of the prediction. To show the usefulness of the tool, we applied our programs to the results generated by GenScan and GeneID, which are widely used gene prediction systems.

• Journal of Internet Computing and Services
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• v.11 no.1
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• pp.27-33
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• 2010

This paper applies Bayesian Markov inferred localization techniques for determining ZigBee mobile device's position. To evaluate its accuracy, we compare it with conventional technique, map-based localization. While the map-based localization technique referring to database of predefined locations and their RSSI data, the Bayesian Markov inferred localization is influenced by changes of time, direction and distance. All determinations are drawn from the estimation of Received Signal Strength (RSS) using ZigBee modules. Our results show the relationship between RSSI and distance in indoor ZigBee environment and higher localization accuracy of Bayesian Markov localization technique. We conclude that map-based localization is not suitable for flexible changes in indoors because of its predefined condition setup and lower accuracy comparing to distance-based Markov Chain inference localization system.