• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1603-1606
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• 2012

본 논문에서는 중소 영세업자의 매장 관리를 위해 사용되고 있는 POS 프로그램을 부가적인 기기 구입 없이 일반 가정용 컴퓨터를 통하여 사용 가능하게 개발함으로써, 경제적인 부담 없이 중소상인들에게 판매상품의 입출고는 물론 일별, 월별, 분기별, 년별 구매와 판매, 발주 입고 처리 등의 추세를 시각화된 그래프로 분석할 수 있는 전산화된 시스템을 활용하게 하여 손쉽게 양질의 판매 전략을 수립하여 매장 이익의 극대화를 추구하고, 매장에서 사용되는 다양한 상품을 용이하게 관리할 수 있는 여건을 마련해주는 시스템 개발을 목적으로 한다.

• Journal of Dairy Science and Biotechnology
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• v.23 no.1
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• pp.39-47
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• 2005

This paper is intended to estimate demand for milk using POS data. POS databases were taken from various retail store across the country that account for 5 percent. Own price elasticities are negative and most milk products are statistically significant. Advertising effects are marginal, and statistically significant except flavored milk. Seasonality is apparent from July through september except children's milk.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.34-36
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• 2003

본 논문은 IP스토리지 네트워크를 이용한 저장시스템 기술 중에서 활용 범위가 높고 최근에 표준화된 iSCSI (internee SCSI) 프로토콜을 실제 RAID 시스템 내에 구현하고, 그 성능을 기존의 파이버채널(FC) 스토리지 네트워크 기술과 비교 평가한다. 또한, iSCSI 프로토콜을 RAID내에 구현시 고성능을 위해서 고려해야 될 사항들과 그 영향을 분석한다.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.52-59
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• 2021

In this paper, we propose a system that allows small business owners focusing on the restaurant business to easily understand the management situation, and to manage the operation and management centering on the cost of food materials and profits and losses. In general, the metadata structure is different depending on the POS system, so it is necessary to first develop a standardized metadata model for a food material cost management system for small business owners in various industries. For that reason, the system proposed in this paper was applied to the cost management app by referring to the development of a data model using the metadata standard. In addition, in order to implement a cost profit/loss management system for small business owners in the restaurant industry, it was designed to support standardized metadata models from various types of POS systems, and is a hybrid app that can support a smart environment. Interface) was configured.

• Proceedings of the Korean Powder Metallurgy Institute Conference
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• 2006.09b
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• pp.1112-1113
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• 2006

The perovskite- type oxide $(ABO_3)$ containing transition metals on the B-site show mixed (electronic/ionic) conductivity. These mixed-conductivity oxides are promising materials for oxygen permeating membranes. The main objective of this research work is to synthesize and characterization ceramic powders of the Sr-Co-Fe-O system for methane conversion using membrane reactor. SCFO powders were synthesized from the route was based on the complex method of combination of acid EDTA and citrate and shown be available by control efficient of synthesis to performed $SrCo_{0.8}Fe_{0.2}O_{3-\delta$, moreover, it presented easy implementation, reproducibility and operation. Powder ceramic was characterized by XRD, microscopic optic, SEM and TG-DTA.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.01a
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• pp.131-133
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• 2014

본 논문에서는 서비스업의 매장에 설치된 POS(Point of sale) 또는 Smart device를 이용하여 빈 방 또는 빈 테이블 등의 서비스 가능 공간 수에 따라 실시간으로 가격이 변동되는 시스템을 제안한다. 고객 입장에서는 보다 싼 가격으로 서비스를 이용할 수 있으며, 매장주 입장에서는 한산한 시간에 경쟁력 있는 가격으로 고객을 유치할 수 있도록 도움을 준다. 고객은 애플리케이션에 접속하여 위치기반서비스를 통해 이용하고자하는 서비스 매장을 선택하여 실시간으로 변동되는 서비스 가격을 확인할 수 있으며, 예약 및 결제를 한 후, 일정 시간 내에 해당 매장에 가서 서비스를 이용할 수 있다. 매장주는 POS 또는 Smart device를 통해 자동 또는 수동으로 서비스 가격을 변동시킬 수 있다.

• Korean Medical Education Review
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• v.15 no.1
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• pp.1-8
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• 2013

Outcome-Based education (OBE) is reviewed from the institutional perspective. The demand for and international trends in OBE are briefly examined and several term related to OBE, especially educational objective and program outcomes (POs), are introduced. It is stressed that systems for continuous quality improvement and quality assurance should be established to ensure the maintenance of the OBE system. Because the criteria for accreditation contain a criterion regarding the quality assurance related to program outcomes, several critical issues are considered regarding the POs themselves and the reduction of the POs. The core value of OBE is not only to provide appropriate education services to students to prepare them with the minimum skills and abilities for advancing their professional service, but also to guarantee the quality of graduates. In addition, the educational program should be continuously improved by employing the evaluation results acquired during the operation of the OBE systems. It is certain that an OBE system is one important aspect of student-centered education.

• Journal of Multimedia Information System
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• v.5 no.3
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• pp.147-154
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• 2018

Natural language processing (NLP) is an emerging research area in which we study how machines can be used to perceive and alter the text written in natural languages. We can perform different tasks on natural languages by analyzing them through various annotational tasks like parsing, chunking, part-of-speech tagging and lexical analysis etc. These annotational tasks depend on morphological structure of a particular natural language. The focus of this work is part-of-speech tagging (POS tagging) on Hindi language. Part-of-speech tagging also known as grammatical tagging is a process of assigning different grammatical categories to each word of a given text. These grammatical categories can be noun, verb, time, date, number etc. Hindi is the most widely used and official language of India. It is also among the top five most spoken languages of the world. For English and other languages, a diverse range of POS taggers are available, but these POS taggers can not be applied on the Hindi language as Hindi is one of the most morphologically rich language. Furthermore there is a significant difference between the morphological structures of these languages. Thus in this work, a POS tagger system is presented for the Hindi language. For Hindi POS tagging a hybrid approach is presented in this paper which combines "Probability-based and Rule-based" approaches. For known word tagging a Unigram model of probability class is used, whereas for tagging unknown words various lexical and contextual features are used. Various finite state machine automata are constructed for demonstrating different rules and then regular expressions are used to implement these rules. A tagset is also prepared for this task, which contains 29 standard part-of-speech tags. The tagset also includes two unique tags, i.e., date tag and time tag. These date and time tags support all possible formats. Regular expressions are used to implement all pattern based tags like time, date, number and special symbols. The aim of the presented approach is to increase the correctness of an automatic Hindi POS tagging while bounding the requirement of a large human-made corpus. This hybrid approach uses a probability-based model to increase automatic tagging and a rule-based model to bound the requirement of an already trained corpus. This approach is based on very small labeled training set (around 9,000 words) and yields 96.54% of best precision and 95.08% of average precision. The approach also yields best accuracy of 91.39% and an average accuracy of 88.15%.

• Phonetics and Speech Sciences
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• v.10 no.1
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• pp.49-55
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• 2018

This paper aims to describe a knowledge-based pronunciation generation system for French. It has been reported that a rule-based pronunciation generation system outperforms most of the data-driven ones for French; however, only a few related studies are available due to existing language barriers. We provide basic information about the French language from the point of view of the relationship between orthography and pronunciation, and then describe our knowledge-based pronunciation generation system, which consists of morphological analysis, Part-of-Speech (POS) tagging, grapheme-to-phoneme generation, and phone-to-phone generation. The evaluation results show that the word error rate of POS tagging, based on a sample of 1,000 sentences, is 10.70% and that of phoneme generation, using 130,883 entries, is 2.70%. This study is expected to contribute to the development and evaluation of speech synthesis or speech recognition systems for French.

• The Journal of the Korea Contents Association
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• v.6 no.10
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• pp.163-173
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• 2006

It is frequent to develop the fashion product through predict purchasing needs of consumers in Textile and Fashion Industry. If failed in its prediction, that is, if consumers would not purchase the product, there comes some problems that big sale is inevitable or stock increase tremendously. Otherwise, Quick Response System allows that the company observe the consumer's needs consistently and design products and establish manufacture schedule rapidly so that they could prohibit the products unnecessarily stocked. Consumer's preference is collected and analyzed through the data generated by POS system, and this is provided to the related manufacturer through network in realtime, so that the manufactures could merchandise, produce and provide the products according to the consumer's need. Thus, this study developed POS system-education program, that is, the merchandising of apparel product, product by prediction, retailer, purchase behavior, reduction in stock inventory and product lead time, cooperative system between apparel company and retailer, and conformation to the consumer's needs are included in this program, through binding the new technology in textile and fashion industry for the purpose of Quick Response system.