• Title/Summary/Keyword: POS system

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A Study of Redundant Design of a Control Rod Control System (제어봉 구동장치 제어시스템의 다중화 설계에 관한 고찰)

  • Sur, Joong-Surk;Cho, Chang-Ho;Yook, Sim-Kyun;Nam, Chae-Ho;Moon, Tae-Sun
    • Proceedings of the KIEE Conference
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    • 2003.07d
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    • pp.2337-2339
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    • 2003
  • Digital technologies are required to reduce to events due to human fails clarified existing nuclear power plant. When we are trying to retrofit control rod control system from analog system to digital one, new communication network and controller is required to be constructed. In this paper, we are going to introduce experience in developing economic and reliable control rod control system construction. this proposed system consists of redundant POS, communication network, and controller to provide enhance reliability and safety.

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Design of an integrated network management system for telecom subsystem in offshore plants

  • Kang, Nam-seon;Kim, Nam-hun;Lee, Seon-ho;Kim, Young-goon;Yoon, Hyeon-kyu
    • Journal of Advanced Marine Engineering and Technology
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    • v.39 no.8
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    • pp.863-869
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    • 2015
  • This study analyzed the offshore plant industry and related regulations such as ISO, IEC, and Norsok Standards to develop an integrated network management system (INMS) capable of both on-site and remote management and configuration of IP-based network equipment in offshore plants. The INMS was designed based on actual specifications and POS plans, and a plan of management was verified through an offshore plant engineering company. Various modules such as PAGA interface modules, CCTV, IP-PBX, and HF-radio communication modules were developed for system implementation. Protocol and data design and screen design were followed by framework development and introduction of the automatic satellite communication function.

A Study to analyze Management Perfomance Building BSC for Hotels (BSC시스템 구축을 위한 호텔기업의 전략적 탐색)

  • Chung, tae-woong
    • Proceedings of the Korea Contents Association Conference
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    • 2008.05a
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    • pp.343-347
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    • 2008
  • There are two kind of system in hotel for evaluating management. the first is infra system, for example Front management system - reservation system, C/I, C/O system, POS system , web system, call center management -, Back office system, interface system, and so on which manage direct control for hotel, and next is strategic system, for example BSC , CS . which is supporting hotel management. The purpose of this study was to find using the Balanced Scorecard to evaluate hotel management perfomance. Management performance is based on productivity, quality, time, effect, and responsiveness. Hotel economic value is not equal visual asset which is measured financial value. It is include hotel brand, image, customers who have good loyalty, employees who give customers special service, and systems which was affected by internal process. In conclusion, innovation, growth, internal system process, empioyee and customer have effect hotel performance. Therefore hotel has to know non-financial performance which has positively relate to financial performance.

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The Efficiency Analysis of CRM System in the Hotel Industry Using DEA (DEA를 이용한 호텔 관광 서비스 업계의 CRM 도입 효율성 분석)

  • Kim, Tai-Young;Seol, Kyung-Jin;Kwak, Young-Dai
    • Journal of Intelligence and Information Systems
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    • v.17 no.1
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    • pp.91-110
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    • 2011
  • This paper analyzes the cases where the hotels have increased their services and enhanced their work process through IT solutions to cope with computerization globalization. Also the cases have been studies where national hotels use the CRM solution internally to respond effectively to customers requests, increase customer analysis, and build marketing strategies. In particular, this study discusses the introduction of the CRM solutions and CRM sales business and marketing services using a process for utilizing the presumed, CRM by introducing effective DEA(Data Envelopment Analysis). First, the comparison has done regarding the relative efficiency of L Company with the CCR model, then compared L Company's restaurants and facilities' effectiveness through BCC model. L Company reached a conclusion that it is important to precisely create and manage sales data which are the preliminary data for CRM, and for that reason it made it possible to save sales data generated by POS system on each sales performance database. In order to do that, it newly established Oracle POS system and LORIS POS system concerned with restaurants for food and beverage as well as rooms, and made it possible to stably generate and manage sales data and manage. Moreover, it set up a composite database to control comprehensively the results of work processes during a specific period by collecting customer registration information and made it possible to systematically control the information on sales performances. By establishing a system which unifies database and managing it comprehensively, impeccability of data has been greatly enhanced and a problem which generated asymmetric data could be thoroughly solved. Using data accumulated on the comprehensive database, sales data can be analyzed, categorized, classified through data mining engine imbedded in Polaris CRM and the results can be organized on data mart to provide them in the form of CRM application data. By transforming original sales data into forms which are easy to handle and saving them on data mart separately, it enabled acquiring well-organized data with ease when engaging in various marketing operations, holding a morning meeting and working on decision-making. By using summarized data at data mart, it was possible to process marketing operations such as telemarketing, direct mailing, internet marketing service and service product developments for perceived customers; moreover, information on customer perceptions which is one of CRM's end-products could feed back into the comprehensive database. This research was undertaken to find out how effectively CRM has been employed by comparing and analyzing the management performance of each enterprise site and store after introducing CRM to Hotel enterprises using DEA technique. According to the research results, efficiency evaluation for each site was calculated through input and output factors to find out comparative CRM system usage efficiency of L's Company four sites; moreover, with regard to stores, the sizes of workforce and budget application show a huge difference and so does the each store efficiency. Furthermore, by using the DEA technique, it could assess which sites have comparatively high efficiency and which don't by comparing and evaluating hotel enterprises IT project outcomes such as CRM introduction using the CCR model for each site of the related enterprises. By using the BCC model, it could comparatively evaluate the outcome of CRM usage at each store of A site, which is representative of L Company, and as a result, it could figure out which stores maintain high efficiency in using CRM and which don't. It analyzed the cases of CRM introduction at L Company, which is a hotel enterprise, and precisely evaluated them through DEA. L Company analyzed the customer analysis system by introducing CRM and achieved to provide customers identified through client analysis data with one to one tailored services. Moreover, it could come up with a plan to differentiate the service for customers who revisit by assessing customer discernment rate. As tasks to be solved in the future, it is required to do research on the process analysis which can lead to a specific outcome such as increased sales volumes by carrying on test marketing, target marketing using CRM. Furthermore, it is also necessary to do research on efficiency evaluation in accordance with linkages between other IT solutions such as ERP and CRM system.

Effect of Korean Analysis Tool (UTagger) on Korean-Vietnamese Machine Translations (한-베 기계번역에서 한국어 분석기 (UTagger)의 영향)

  • Nguyen, Quang-Phuoc;Ock, Cheol-Young
    • Annual Conference on Human and Language Technology
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    • 2017.10a
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    • pp.184-189
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    • 2017
  • With the advent of robust deep learning method, Neural machine translation has recently become a dominant paradigm and achieved adequate results in translation between popular languages such as English, German, and Spanish. However, its results in under-resourced languages Korean and Vietnamese are still limited. This paper reports an attempt at constructing a bidirectional Korean-Vietnamese Neural machine translation system with the supporting of Korean analysis tool - UTagger, which includes morphological analyzing, POS tagging, and WSD. Experiment results demonstrate that UTagger can significantly improve translation quality of Korean-Vietnamese NMT system in both translation direction. Particularly, it improves approximately 15 BLEU scores for the translation from Korean to Vietnamese direction and 3.12 BLEU scores for the reverse direction.

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Effect of Korean Analysis Tool (UTagger) on Korean-Vietnamese Machine Translations (한-베 기계번역에서 한국어 분석기 (UTagger)의 영향)

  • Nguyen, Quang-Phuoc;Ock, Cheol-Young
    • 한국어정보학회:학술대회논문집
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    • 2017.10a
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    • pp.184-189
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    • 2017
  • With the advent of robust deep learning method, Neural machine translation has recently become a dominant paradigm and achieved adequate results in translation between popular languages such as English, German, and Spanish. However, its results in under-resourced languages Korean and Vietnamese are still limited. This paper reports an attempt at constructing a bidirectional Korean-Vietnamese Neural machine translation system with the supporting of Korean analysis tool - UTagger, which includes morphological analyzing, POS tagging, and WSD. Experiment results demonstrate that UTagger can significantly improve translation quality of Korean-Vietnamese NMT system in both translation direction. Particularly, it improves approximately 15 BLEU scores for the translation from Korean to Vietnamese direction and 3.12 BLEU scores for the reverse direction.

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An HMM-based Korean TTS synthesis system using phrase information (운율 경계 정보를 이용한 HMM 기반의 한국어 음성합성 시스템)

  • Joo, Young-Seon;Jung, Chi-Sang;Kang, Hong-Goo
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2011.07a
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    • pp.89-91
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    • 2011
  • In this paper, phrase boundaries in sentence are predicted and a phrase break information is applied to an HMM-based Korean Text-to-Speech synthesis system. Synthesis with phrase break information increases a naturalness of the synthetic speech and an understanding of sentences. To predict these phrase boundaries, context-dependent information like forward/backward POS(Part-of-Speech) of eojeol, a position of eojeol in a sentence, length of eojeol, and presence or absence of punctuation marks are used. The experimental results show that the naturalness of synthetic speech with phrase break information increases.

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Halidom-Sale Inventory Management System (성물 판매 재고관리 시스템)

  • Hur, Tai-Sung;Kim, Tae-Ho
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2014.07a
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    • pp.189-190
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    • 2014
  • 현재 명동성당을 제외한 나머지 성당에 성물 방에서는 성물 판매 및 입고 장부, 수입 지출내역을 수기 식으로 운영 하고 있다. 따라서 본 시스템은 성당 성물 방에 적합한 판매재고관리 시스템을 개발하는데 그 목적이 있다. 본 개발 시스템은 성당에서의 성물 입고 및 판매, 재고 관리에 목표를 두고 주로 통계 및 재고관리와 반응 형 웹에 초점을 맞추어 개발되었다. 재고 관리를 위한 입고현황, 판매현황, 제품현황과 거래처 관리를 위한 거래처 현황, 거래처 거래현황을 주목적으로 하였다. 재고관리의 경우 재고가 적정재고 보다 수량이 적으면 알림을 띄워 알려주고 재고가 없으면 판매 할 수 없도록 하였다. 시스템을 개발함으로서 보다 효과적인 재고관리에 주력하였고, 입고, 판매, 수입 지출 내역을 장부로 직접 작성하면서 생기는 오류에 관련된 문제를 해소하도록 하였다. 스마트 폰에서 볼 수 있는 App을 별도로 개발 하지 않고 하나의 시스템으로 운영되어 유지보수 및 관리를 손쉽게 하기 위하여 반응 형 웹을 적용하여 스마트폰, 데스크 탑, 태블릿 PC등 각각 해상도가 다른 화면에서 동일한 정보를 제공하도록 하였다.

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An Automatic Spam e-mail Filter System Using χ2 Statistics and Support Vector Machines (카이 제곱 통계량과 지지벡터기계를 이용한 자동 스팸 메일 분류기)

  • Lee, Songwook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.05a
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    • pp.592-595
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    • 2009
  • We propose an automatic spam mail classifier for e-mail data using Support Vector Machines (SVM). We use a lexical form of a word and its part of speech (POS) tags as features. We select useful features with ${\chi}^2$ statistics and represent each feature using text frequency (TF) and inversed document frequency (IDF) values for each feature. After training SVM with the features, SVM classifies each email as spam mail or not. In experiment, we acquired 82.7% of accuracy with e-mail data collected from a web mail system.

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An Improved Homonym Disambiguation Model based on Bayes Theory (Bayes 정리에 기반한 개선된 동형이의어 분별 모텔)

  • 김창환;이왕우
    • Journal of the Korea Computer Industry Society
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    • v.2 no.12
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    • pp.1581-1590
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    • 2001
  • This paper asserted more developmental model of WSD(word sense disambiguation) than J. Hur(2000)'s WSD model. This model suggested an improved statistical homonym disambiguation Model based on Bayes Theory. This paper using semantic information(co-occurrence data) obtained from definitions of part of speech(POS) tagged UMRD-S(Ulsan university Machine Readable Dictionary(Semantic Tagged)). we extracted semantic features in the context as nouns, predicates and adverbs from the definitions in the korean dictionary. In this research, we make an experiment with the accuracy of WSD system about major nine homonym nouns and new seven homonym predicates supplementary. The inner experimental result showed average accuracy of 98.32% with regard to the most Nine homonym nouns and 99.53% for the Seven homonym predicates. An Addition, we save test on Korean Information Base and ETRI's POS tagged corpus. This external experimental result showed average accuracy of 84.42% with regard to the most Nine nouns over unsupervised learning sentences from Korean Information Base and ETRI Corpus, 70.81 % accuracy rate for the Seven predicates from Sejong Project phrase part tagging corpus (3.5 million phrases) too.

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