• Journal of KIISE:Software and Applications
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• v.28 no.11
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• pp.842-854
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• 2001

Today\`s first generation shopping agent is limited to comparing merchant offerings usually on price instead of their full range of attributes. Even in the full range comparison, there is not a good model which considers the overall features in the negotiation process. Therefore, the negotiation model needs to be extended to include negotiations over the more attributes. In this paper, we propose a negotiation model in the agent-mediated electronic commerce to negotiate over prices, product features, warranties and service policies based on utility theory and simple heuristics. We will describe a prototype agent-mediated electronic commerce framework called Pmart. This framework provides the software reuse and the extensibility based on the object-oriented technology. It is implemented on Windows-based platforms using Java and CORBA for the network transparency and platform independence.

• Journal of the Korean Geographical Society
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• v.38 no.1
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• pp.32-47
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• 2003

The Joseon had made maps of Japan with information that gained during the exchanges with Japan on the basis of the polio of maintaining amicable relations. The elaborate map of Japan similar to Haenggido was in Honilgangniyokdaekukdojido(Map of integrated lands and regions of historical countries and capitals, made in 1402, and more accurate map of Japan was found in Haedongjegukgi(Chronicle of the countries of the Eastern Sea, compiled by Sinsukju in 1471. These products were due to openness of foreign exchanges in 15th century. After 16th century, understanding of Japan based on China-centric view was intensified, as the confucianism of Chu-tzu planted its roots deeply in Joseon society as the social doctrine. These tendency were reflected in the map-making, accordingly many kinds of maps of Japan in the atlas were meager in contents and distorted in shorelines. Apart these currents, as comings and goings of official envoy became brisk, elaborated maps of Japan were imported and copied in the Joseon dynasty. Consequently these maps helped the elites of Joseon to raise understanding of Japan.

• Journal of Satellite, Information and Communications
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• v.6 no.2
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• pp.136-140
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• 2011

Satellites industry has been developing with the commercial and military needs. Because power system of satellites is very important to survival operation and hard to test, increasing reliability is very critical. Especially LEO small satellites are very sensitive to power system, effective stabilization control is important. Because of various need of load condition, converter design are complicated. Therefore this paper introduced general modeling of LEO small satellite converter system and analyzed stabilization control design. The performance prediction of LEO small satellites power system is typically critical. Because of verity controller and rectification value, it is hard to computation and test implementation. So, this approach has merit that will reduce cost and make more reliable system. Furthermore, it can be constraint of converter specification and controller design. This paper will examine generation a modeling of LEO small satellites power converting system, and a possible guide line to design reliable controller which optimizing power converters of LEO small satellite.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.515-515
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• 2015

토양유실량을 산정하기 위한 모델로 Universsal Soil Loss Equation(USLE)가 전 세계적으로 가장 많이 사용되고 있다. USLE 모형은 농경지에서 면상침식(Sheet erosion)과 세류침식(Rill erosion)을 모의할 수 있는 시험포단위 모형(Field-scale)으로 농경지에서 유실된 토양이 하류 하천으로 얼마나 흘러 들어가 하류 수계의 탁수발생과 이에 따른 수질악화에 얼마나 기여하는지, 즉, 유역단위의 토양유실량을 평가하는데 이용될 수 없다. 이러한 단점을 극복하기 위하여 Sediment Assessment Tool for Effective Erosion Control (SATEEC) ArcView 시스템이 개발되어 사용되고 있다. SATEEC ArcView 시스템은 USLE모형의 입력자료와 DEM만으로 유역면적에 따른 유달률을 산정하여 유역에서 유실된 토양이 얼마만큼 하류로 유달되는지를 모의할 수 있으며, 유역 경사도에 의한 유달률도 산정할 수 있어 지형적인 특성을 좀 더 다양하게 분석 할 수 있게 개발 되었다. 그러나 ArcView는 출시한지 오래되어 사용자가 많지 않고, 프로그램상의 오류가 많고, 대용량의 데이터 처리가 가능한 64비트 운영체제에서는 설치가 불가능한 단점이 있다. 또한, ArcView의 프로그래밍 언어인 Avenue는 클래스를 정의한다거나 상속을 한다거나 하는 문법을 제공하지 않기 때문에 객체지향 언어로 보기에는 부족하다고 할 수 있다. 또한, 최근의 ArcGIS 기반의 많은 모델들이 서로 연계하여 사용하고 있으나, Avenue는 기타 다른 프로그래밍 언어와 연계하여 사용하기가 쉽지 않은 단점이 있다. 그러나 최근 ArcGIS 버전들의 프로그래밍 언어인 Python은 간결하고 확장성이 좋으며, 다른 언어와의 연계가 쉽다. 또한, ArcGIS 10.x버전부터 제공되는 arcpy 모듈은 사용자와의 접근성이 매우 향상되었다. 따라서 SATEEC ArcView 버전을 ArcGIS 10.1 기반의 Python 으로 재개발하여 기존의 불편한 접근성과 대용량 데이터의 처리가 불가능했던 부분을 개선하였다.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.571-577
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• 2018

Bicycle riders complain of many inconveniences when wearing glasses, sunglasses and masks. The disposable fine dust mask has been developed to resolve such inconveniences of bicycle riders. The scope of research is limited to the fiber which generates one-time static electricity and the shape of the mask due to the characteristic of fine dust mask. The purpose is to design and make the fine dust mask with a simple production process. The new disposable fine dust mask has secured enough space of the mask in front of the mouth by longitudinal folding and minimized stuffiness by maintaining the shape of the folded part to prevent touching the mouth even by heavy breathing. The streamlined sponge is attached at the part of nose support and the area of the cheek has been expanded to be about 2.5cm wider than ordinary masks to improve tight seal at the side. In addition, a new disposable fine dust scarf mask has been developed to block ultraviolet rays for the face and neck while filtering fine dust with the tight fine dust mask.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.1
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• pp.111-116
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• 2019

Recently, GPU expands application domains from graphic processing to various kinds of parallel workloads. However, current GPU systems focus on the maximization of each workload's parallelism through simplified control rather than considering various workload characteristics. This paper classifies the resource usage characteristics of GPU workloads into computing-bound, memory-bound, and dependency-latency-bound, and quantifies the fine-grained bottleneck for efficient workload allocation. For example, we identify the exact bottleneck resources such as single function unit, double function unit, or special function unit even for the same computing-bound workloads. Our analysis implies that workloads can be allocated together if fine-grained bottleneck resources are different even for the same computing-bound workloads, which can eventually contribute to efficient workload allocation in GPU.

• Convergence Security Journal
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• v.24 no.2
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• pp.55-61
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• 2024

With the development of IoT technology, wearable services have also developed rapidly. Wearable devices required for this service are used as sensors and controllers in the form of smart bands. Wearable devices implement very concise SWlogic for possible long-term use and use wireless communication protocols to improve convenience. However, because this wearable device aims to be lightweight, it is more vulnerable to security than terminals used for other information services. Many smart healthcare or smart medical services are passive or do not apply security technology. By exploiting this security environment, attackers can obtain or modify important information through access to wearable devices. In this study, we analyzed the technical operating environment of wearable services and identified authentication information reuse attacks, BIAS attacks, battery drain attacks and firmware attacks on wearable devices. And we analyzed the mechanism of each security threat and confirmed the attack effect. In this study, we presented a response plan to respond to the identified security threats. When developing wearable services, it is expected that safer services can be built if the response plan proposed in this study is considered.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.3
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• pp.135-145
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• 2022

Due to COVID 19, we are facing unprecedented phenomena. Among various industries, the aviation industry, as it is directly affected by the corona crisis is actively establishing various survival strategies, such as expanding cargo transportation. The market size of air cargo transportation is continuously increasing due to the characteristics that distinguish it from other transportation, and as individualism and selfishness deepen in the aftermath of COVID 19, it can be inferred that the concept of reciprocity within distribution channels will become important in the post-corona era. The specific contents of this study(research question) are as follows. First, as a central member of the air logistics distribution channel, logistics service companies business process and the sub-dimensions of trust of are identified, and how trust is built with transportation companies is investigated. Second, the effect of such trust on the various performances of logistics service companies is analyzed. Third, we examine whether the influences of the sub-dimensions of trust change according to the perceived reciprocity of logistics service companies. In addition, we investigate whether the perceived reciprocity changed before and after the corona situation. In particular, this study theoretically integrates the concepts of trust and commitment, which have been distinguished in many prior studies, to improve the parsimony and practicality of the research model. This study will be able to present useful academic and practical implications by empirically examining how trust is built between members of the air logistics distribution channel and furthermore, how much it affects the performance of logistics service companies, and by identifying the moderating effect of reciprocity.

• Journal of Korean Home Economics Education Association
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• v.35 no.1
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• pp.53-72
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• 2023

This study aimed to develop educational material on the proper use of plant-based milk alternatives in the form of a card news, based on a focus group interview(FGI) with adult consumers. The FGI participants were individuals who had directly purchased cow's milk, soy milk, or other plant-based milk alternatives within the past three months and consumed them at least once a month. The study consisted of 17 adults between the ages of 19 and 63 years who met these criteria(9 males and 8 females). It was identified what participants were curious about, interested in, and needed information regarding the proper use of plant-based milk alternatives through FGI. A 10-page card news was developed that was highly usable, taking into account the FGI results and the latest literature. In conclusion, this study developed a card news aimed at promoting the proper use of plant-based milk alternatives, which can be easily disseminated online in line with the trends in food consumption and digitization. The results of this study suggest that the continuous development and distribution of educational materials that reflect food consumption trends and maximize their usability should be provided for dietary life education, such as school subjects or out-of-school programs.

• Journal of KIISE:Software and Applications
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• v.29 no.1_2
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• pp.42-52
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• 2002

Information extraction(IE) is a process of recognizing and fetching particular information fragments from a document. In previous work, most IE systems generate the extraction rules called the wrappers manually, and although this manual wrapper generation may achieve more correct extraction, it reveals some problems in flexibility, extensibility, and efficiency. Some other researches that employ automatic ways of generating wrappers are also experiencing difficulties in acquiring and representing useful domain knowledge and in coping with the structural heterogeneity among different information sources, and as a result, the real-world information sources with complex document structures could not be correctly analyzed. In order to resolve these problems, this paper presents an agent-based information extraction system named XTROS that exploits the domain knowledge to learn from documents in a semi-structured information source. This system generates a wrapper for each information source automatically and performs information extraction and information integration by applying this wrapper to the corresponding source. In XTROS, both the domain knowledge and the wrapper are represented as XML-type documents. The wrapper generation algorithm first recognizes the meaning of each logical line of a sample document by using the domain knowledge, and then finds the most frequent pattern from the sequence of semantic representations of the logical lines. Eventually, the location and the structure of this pattern represented by an XML document becomes the wrapper. By testing XTROS on several real-estate information sites, we claim that it creates the correct wrappers for most Web sources and consequently facilitates effective information extraction and integration for heterogeneous and complex information sources.