• 한국항행학회논문지
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• 제25권5호
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• pp.377-383
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• 2021

본 논문에서는 항공기에 탑재되는 무장관리컴퓨터의 하드웨어 검증을 위한 자동시험 장비 개발 사례를 기술한다. 최근 항공기에 요구되는 기능이 다양해지고, 항공전자 장비의 관련 기술이 발전함에 따라 항공전자 장비에 필요한 인터페이스의 종류와 수량이 증가하였다. 무장관리컴퓨터 또한 기존 구형 무장 이외에도 신형 무장에 대한 요구사항이 추가됨에 따라 다량은 인터페이스 제어가 필요하다. 이와 같은 이유로 항공전자 장비의 점검에 투입되는 시간과 인력 소요 또한 증가하고 있으며, 항공전자 장비의 시험 과정을 자동화 및 무인화 할 수 있다면, 더 효율적인 점검 시스템 운용이 가능해질 것이다. 따라서 본 논문에서는 무장관리컴퓨터 하드웨어 기능 검증에 필요한 시험장비의 구조설계 내용과 검증 과정을 자동화하기 위한 시험 소프트웨어 및 시험 시나리오 설계 사례를 소개한다.

• 한국항공우주학회지
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• 제31권5호
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• pp.124-133
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• 2003

본 논문은 항공기 무장의 목록관리, 무장의 활성화, 그리고 무장의 발사 및 투하를 제어하고 관리하는 무장관리컴퓨터 탑재소프트웨어 개발 시 객체지향 설계기법을 적용하는 방법을 제안한다. 무장관리컴퓨터 개발을 위해 중앙처리장치 보드는 상용화된 PowerPC 603e의 군용모델을 사용하였으며 실시간 운용체계인 VxWorks와 Tornado개발환경을 이용하여 소프트웨어를 개발하였다. 소프트웨어 개발 시 객체지향 언어인 Ada95를 사용하였으며 소프트웨어 모듈간의 독립성을 위해 세 개의 층(Layer)으로 분리하여 설계하였다. 항송전자시스템컴퓨터 시뮬레이터와 테스트 벤치를 개발하여 무장관리시스템 하드웨어/소프트웨어 통합검증테스트를 수행하였다.

• International Journal of Computer Science & Network Security
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• 제21권4호
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• pp.214-222
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• 2021

Recently, the growth of e-commerce in Saudi Arabia has been exponential, bringing new remarkable challenges. A naive approach for product matching and categorization is needed to help consumers choose the right store to purchase a product. This paper presents a machine learning approach for product matching that combines deep learning techniques with standard artificial neural networks (ANNs). Existing methods focused on product matching, whereas our model compares products based on unstructured descriptions. We evaluated our electronics dataset model from three business-to-consumer (B2C) online stores by putting the match products collectively in one dataset. The performance evaluation based on k-mean classifier prediction from three real-world online stores demonstrates that the proposed algorithm outperforms the benchmarked approach by 80% on average F1-measure.

• Journal of Information Processing Systems
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• 제5권1호
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• pp.11-18
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• 2009

As well as providing various APIs for the development of inference engines and storage models, Jena is widely used in the development of systems or tools related with Web ontology management. However, Jena still has several problems with regard to the development of real applications, one of the most important being that its query processing performance is unacceptable. This paper proposes a storage model to improve the query processing performance of the original Jena storage. The proposed storage model semantically classifies OWL elements, and stores an ontology in separately classified tables according to the classification. In particular, the hierarchical knowledge is managed, which can make the processing performance of inferable queries enhanced and stores information. It enhances the query processing performance by using hierarchical knowledge. For this paper an experimental evaluation was conducted, the results of which showed that the proposed storage model provides a improved performance compared with Jena.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2013년도 추계학술대회
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• pp.237-239
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• 2013

키 값들을 대응하기 위해서. 데이터들은 칼럼-패밀리 저장소에 보존되는데, 빅데이터 환경에서 주로 사용되는 도구들은 Cassandra, HBase, Hypertable, and Amazon Simple DB 등이 있다. 본 논문에서는 Cassandra를 참조하여, 칼럼-패밀리 저장소와 그 구조를 정의하고, 그 특징들에 대해 살펴보기로 하겠다. 일관성, 트랜잭션, 가용성, 확장성 등에 대해 알아보고, CQL이라는 Cassandra 질의어를 이용한 기본 질의와 고급 질의를 살펴보겠다. 아울러, 본 칼럼-패밀리 저장소를 적용해야 할 분야와 적용하지 말아야 할 분야에 대해 언급하고자 한다.

• 한국멀티미디어학회논문지
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• 제19권5호
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• pp.948-956
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• 2016

Many franchise stores are in the surrounding. These stores offer many membership services. But, small traders do not provide much customer management service. For example, non-franchised cafes provide the services through paper coupons. However, most of paper coupons are available only in one store that issued the coupon. Besides, these coupons are in stamp format. Due to the absence of customers' management service, it is hard for small traders to attract customers compared to the franchise. Therefore, in this paper, We had implemented a mobile application, and applied to new customer management service in order to increase the price competitiveness of small traders. This service issues electronic coupon through a mobile app. customers can receive a relatively large amount of discount, and a deadline of coupons are short. When customers use coupons, new coupons are issued at the same time. This structure can be powerful means to lead customers' frequent visit. Small traders can gain a lot of regular customers by using this service.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -3
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• pp.1764-1767
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• 2002

Recent explosive increases in information 'volume have led to a rapid development or a change of information technology which stores, searches, and manages a vast amount of information. It is considered that an effective share and utilization of a large amount of digital information produced by work performances is a pivotal element which can make decisive contributions to a great success of business management. This common property of information reflects a changing social paradigm including a change of business processes. This paper is aimed at designing and embodying the construction of knowledge base in an efficient project management system using unsupervised data mining techniques in order to extract information and utilize it as knowledge about standard data (statistical data, template etc.,), size prediction and a danger precaution notice which are needed for a plan and a scheduling of a new project from data coming from already-established projects.

• 복식
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• 제51권2호
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• pp.53-64
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• 2001

The purpose of this study is to create the program for efficient inventory management and reduction, investigating the present conditions and factors of the inventory throughout current apparel industry. The research method applied in this study is to survey 92 domestic companies which were randomly selected with respect to the kinds of goods produced : men′s wear, women′s wear, and unisex wear. The research can be summarized as follows : 1. The seasonal stock rate of current apparel industry was 28.75%, and the rate of men′s wear companies was higher than that of women′s and unisex wear companies. 19.43% of stock cost reflection rate was applied, and the stack cost of men′s and women′s wear companies was higher than that of unisex wear companies. 2. Periodic bargain sale was the most frequently used way of stock clearance, and "uniform price sale"and outlet stores were the second and the third irrespectively. Unisex wear companies appeared to be more enthusiastic in stock clearance than the companies belonging to the other two categories. The main places for the stock clearance were department stores, outlet stores and enterprises specialized in the stock clearance. 3. QR production was proved to be the most commonly adjusted method of stock reduction, and the emphasis on development of new design and the utilization of stock management system through computer network were the next, While unisex wear companies had established the positive policies, men′s wear companies took lukewarm altitudes in every aspect. The companies selling on an order were 18.64%, and unisex wear companies showed the higher rate. The lead-time after QR production was 10.91 days, and it seemed to take more time for men′s wear companies than for women′s and unisex wear companies. The rate of the chance in stock was proved to decrease by 12.94%, and there was found no meaningful difference among the three categories of apparel companies.

• 한국컴퓨터정보학회논문지
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• 제20권2호
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• pp.221-229
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• 2015

본 논문에서는 대형할인점의 유통구조 개선을 위해서 대형할인점의 광고와 판촉, 매장관리, 상품품질이 고객만족도에 어떤 영향을 미치는지를 실증적으로 규명하여 그 구조적 관계 모형을 제안하고자 한다. 이를 실증적으로 규명하기 위하여 수도권 대형할인점을 이용하는 고객을 대상으로 설문조사를 실시하여 SPSSWIN 18.0과 AMOS 18.0을 활용한 분석을 통하여 구조적 대안 모형을 제시하였다. 분석결과로는 첫째, 매장관리가 상품품질에 유의한 영향을 미치는 것으로 고객들은 인식하고 있었다. 넓고 깨끗한 매장을 통하여 상품품질에도 신뢰를 나타낸 것으로 보인다. 둘째, 매장관리가 고객만족에 유의한 영향을 주었으며, 매장의 청결성과 분위기, 편리한 주차시설, 교통수단의 편의성 등이 고객만족에 영향을 미쳤다. 셋째, 광고판촉은 매장관리나 상품품질 및 고객만족에는 유의한 영향을 미치지 않은 것으로 나타났다. 이러한 결과를 통해 알 수 있듯이 광고판촉보다는 매장관리와 품질관리 등 물리적 환경과 질 좋은 상품 및 서비스의 개선이 더욱 고객의 만족을 높여주며 고객의 재방문에 좋은 영향을 미친다고 할 수 있다.

• 한국디지털정책학회:학술대회논문집
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• 한국디지털정책학회 2004년도 International Conference on Digital Policy & Management
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• pp.375-387
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• 2004

The paper presents an Integrated E-Community System (IECS) for management, decision and service, designed for the e-government project of Haishu District of Ningbo, Zhejiang, China. The project need is to promote the integration of management information and service information of communities, providing a unified platform on which different departments of the district government can share and exchange community information, government officers can analyze information and make decisions, and the outside users can access and request services. To meet the project need, the IECS consists of five parts: 1) The Central DataBase (CDB) that stores all information related with management, decision and service of communities: 2) Information Extracting Subsystem (IES) that provides functions of extracting data from data sources, transforming and loading them into the CDB for system administrators; 3) Information Management Subsystem (IMS) that provides functions of querying and sharing of information for government users, and functions of information maintenance, rights and log management for system administrators: 4) Intelligent Analysis Subsystem (IAS) that provides functions of extracting analysis related data from the CDB and loading them into the DW, and functions of multi-dimensional analysis and decision-making based on the DW and OLAP for government users; 5) Information Service Website (ISW) that provides functions of promulgating and collecting of information for government users and system administrators, and functions of browsing, querying and requesting of service information for outside users. The IECS supports management, decision and service of a government based on a unified data platform--the CDB, and ensures data security by providing different workplaces and rights for different users. In the real application, the system works well.