• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.6
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• pp.1639-1646
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• 2008

This study designed and realized a new type of RFID middle-ware based on .NET Compact Framework platform using PXA255 embedded board and Windows CE as operating system. The proposed embedded RFID middle-ware system controls via LAN a number of RFID sensors using RS-232 as interface and was designed on the basis of components of each function necessary RFID middle-ware. Application module operating in the SOA environment analyzes the data received from the RFID sensors with the embedded RFID middle-ware and in turn performs appropriate business logic. Client module to be used by end users can use RFID information in database, by web method call of application.

• Information and Communications Magazine
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• v.31 no.5
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• pp.39-45
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• 2014

기업활동에서 IT에 대한 의존도가 증가함에 따라 기업들은 다양한 소프트웨어 및 하드웨어 플랫폼에서 제공되는 서비스들을 운영하고 있다. 서비스들이 보급, 확대되는 과정에서 새로운 보안 취약점들이 나타나고, 이들 취약점을 악용한 기업정보의 유출 및 해킹 등 보안사고의 발생도 비례하여 증가하고 있다[1]. 특히 다양한 유형의 사업을 운영하는 지주회사 또는 대기업 그룹사의 경우, 사업영역별로 운영 중인 IT 인프라의 보안 취약점이 네트워크로 연결된 타 사업용 IT 인프라에 대한 사이버 침해의 통로로 악용될 가능성이 있다. 이 같은 문제의 해결을 위해 기업들은 사업영역 별로 보유한 IT 인프라의 보안 취약점 진단과 대응을 위한 솔루션들을 도입, 운영해 오고 있다. 하지만 기업의 보안 거버넌스 관점에서 보안 취약점 관리도 전사적인 보안 정책과의 연계 강화, 투자 중복의 방지, 효과적인 관리와 통제에 대한 필요성이 대두되기 시작했다. 보안 거버넌스 체계 강화에 대한 기업의 요구변화에 맞춰 보안 취약점의 통합관리를 지원하는 상용 솔루션들이 일부 출시되고 있으나 기업들이 기 운영하고 있는 개별 취약점 진단 솔루션과의 연동, 로그관리 및 기업이 요구하는 특화된 기능 구현 등의 어려움이 도입에 장애가 되고 있다. 따라서, 대기업을 중심으로 개별 보안 취약점 진단 솔루션들을 연동하여 기업보안 거버넌스를 효과적으로 지원할 수 있도록 취약점 관리업무 프로세스의 재설계와 함께 취약점 진단 통합관리 체계를 구축하고 있다[2][3][4]. 본고는 보안 취약점 관리업무의 문제점을 소개하고, 최근 대 기업을 중심으로 활발히 구축이 추진되고 있는 웹 기반의 취약 점 진단 통합관리 체계의 개념, 기능 및 운영 프로세스를 소개한다. 아울러, 기업 IT 인프라에 대한 보안 취약점 진단 데이터를 축적하여 기업 내부의 보안위험 요소를 사전예측하고, 정보보호의 투자 대비 효과(ROSI: Security Return on Investment)를 효과적으로 산정하는 인프라로서 활용 가치를 소개한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.5B
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• pp.344-355
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• 2008

In this paper, we are dealing with the problems of performance evaluation of Differentiated Services(DiffServ) networks. For successful performance evaluation, the ability to accurately represent "real" traffic on the network by suitable traffic models is an essential ingredient. Many research results on the nature of real traffic measurements demonstrated LRD(long-range dependence) property for the Internet traffic including Web, TELNET, and P2P traffic. The LRD can be effectively represented by self-similarity. In this paper, we design and implement self-similar traffic generator using the aggregated On/Off source model, based on the analysis of the On-Off source model, FFT-FGN(Fast Fourier Transform-Fractional Gaussian Noise) model, and RMD(Random Midpoint Displacement) model. We confirmed the self-similarity of our generated traffic by checking the packet inter-arrival time of TCPdump data. Further we applied the implemented traffic generator to the performance evaluation of DiffServ networks and observed the effect of performance to the a value of the On/Off model, and performance of EF/BE class traffic by CBQ.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.5
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• pp.359-368
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• 2013

Mashup is a web application that combines several different sources to create new services using Open APIs(Application Program Interfaces). Although the mashup has become very popular over the last few years, there are several challenging issues when combining a large number of APIs into the mashup, especially when composite APIs are manually integrated by mashup developers. This paper proposes a novel algorithm for automatic Open API composition. The proposed algorithm consists of constructing an operation connecting graph and searching composition candidates. We construct an operation connecting graph which is based on the semantic similarity between the inputs and the outputs of Open APIs. We generate directed acyclic graphs (DAGs) that can produce the output satisfying the desired goal. In order to produce the DAGs efficiently, we rapidly filter out APIs that are not useful for the composition. The algorithm is evaluated using a collection of REST and SOAP APIs extracted from ProgrammableWeb.com.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2005.10a
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• pp.217-220
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• 2005

Internal cities such as gray level been enclosed to building forest are paying a lot of efforts and expenses to change to green city toot park and street tree get put together. By the example, 'GREEN CITY of PUSAN 21' progress to decorate army facilities like the park, and to plant street trees in several places of city plan in Pusan. And urban environment that big citys of advanced nation are agreeable is making in the large park and road street trees at several places in downtown. Because price of tree for the park is very expensive, tree management system was all-important. In this paper, Motes deliver the sensor information in each tree through radio sensor network by server side. This information can use in state grasping of tree, harmful insects courtesy call etc and this system design was suggested to inform to mode of life administration scholars.

• Journal of Korean Society for Geospatial Information Science
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• v.10 no.1 s.19
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• pp.59-66
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• 2002

The rapid change of industrial structure causes to increase distribution cost and requires necessity of physical distribution system urgently. Traffic situation is getting extremely worse and traffic jam has led to increasing expense of physical distribution delivery which dominates 20% of distribution cost. In this situation, the shortest and most suitable path search system is required by modern people who must waste a lot of time for moving with a car or on the street as well as many companies. for these reasons, we developed the shortest-path-searching system applying the dijkstra algorithm which is one of the effective shortest path algorithm to GIS, and it was constructed by considering realistic urban traffic and the pattern of street in a physical situation. Also, this system was developed to be updated weight data automatically, considering the dynamic change of traffic situation such as a traffic information service which will be served in real time. Finally, we designed this system to serve on web by using MapObjects IMS.

• Smart Media Journal
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• v.5 no.3
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• pp.74-80
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• 2016

In this paper, we propose an accident-prevention smart monitoring system for Haenyeo(Woman diver) using Zigbee module and GPS sensor. This system can collect such information as the diving location, the body temperature, the depth of diving, and the diving time of a Woman diver working under the water and then respond immediately to an accident occurring. The research developed a smart Teawak and smart swimming goggles which can measure the state of a Woman diver and her diving activities. Smart Teawak, the buoy tool while a Woman diver is collecting seafoods under water, is able to receive GPS and transmit the data from smart swimming goggles and Zigbee Module to IHSS(IoT based Haenyeo Safety service Software) server. In addition, IHSS, a responsive web, provides the diving location and the state of a Woman diver on the smart phone. As a result, the system will be useful in the aspects of Woman diver' health care and the safety, furthermore, which will significantly contribute to global marketing of Woman diver with its being designated as a UNESCO intangible cultural asset.

• Journal of Intelligence and Information Systems
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• v.14 no.1
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• pp.67-84
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• 2008

This paper proposes a design and realization for the semantic search system. The proposed model includes three Architecture Layers of a Semantic Search System ; (they are conceptually named as) the Knowledge Acquisition, the Knowledge Representation and the Knowledge Utilization. Each of these three Layers are designed to interactively work together, so as to maximize the users' information needs. The Knowledge Acquisition Layer includes index and storage of Semantic Metadata from various source of web contents(eg : text, image, multimedia and so on). The Knowledge Representation Layer includes the ontology schema and instance, through the process of semantic search by ontology based query expansion. Finally, the Knowledge Utilization Layer includes the users to search query intuitively, and get its results without the users'knowledge of semantic web language or ontology. So far as the design and the realization of the semantic search site is concerned, the proposedsemantic search system will offer useful implications to the researchers and practitioners so as to improve the research level to the commercial use.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.7
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• pp.1459-1466
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• 2009

In ubiquitous environment, various and amount of sensor data information occur continuously and periodically about thing and user from RHO, sensor network of various space. Such, the users from among many of provider who provide sensor service should find service that themselves is wanted. And when service use, service right to user should be provided. But in the current environment of the USN(Ubiquitous Sensor Network) Application Service, there is no the registry to find these services but only business- oriented UDDI(Universal Description Discovery, and integration). In addition, when service use, service right to user should be provided but current services provided only services one of the conditions or events. Therefore, rules-based processing system of service event that can provide service according various conditions and events is need. In this paper research into service registry for sensor service search with reference to existing UDDI and event processing system for USN application service with reference to event rule based on web service as WS-ECA(Web Service-Event Condition Action).

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.1
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• pp.31-36
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• 2019

A chatbot is an important area of mobile service, which understands informal data of a user as a conversational form and provides a customized service information for user. However, there is still a lack of a service way to fully understand the user's natural language typed query dialogue. Therefore, in this paper, we extract meaningful words, such a region, a food category, and a restaurant name from user's dialogue sentences for recommending a restaurant. and by comparing the extracted words against the contents of the knowledge database that is built from the hashtag for recommending a restaurant in SNS, and provides user target information having statistically much the word-similarity. In order to evaluate the performance of the restaurant recommendation chatbot system implemented in this paper, we measured the accessibility of various user query information by constructing a web-based mobile environment. As a results by comparing a previous similar system, our chabot is reduced by 37.2% and 73.3% with respect to the touch-count and the cutaway-count respectively.