• Agricultural and Biosystems Engineering
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• 제7권1호
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• pp.8-12
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• 2006

This study was conducted to develop a real-time internal quality evaluation technique for Korean red ginseng using NIR spectroscopy while they were moving to be graded. Internal qualities of Korean red ginseng were defined by color, amount of white core and cavity in the red ginseng. To evaluate the internal quality, PLS (Partial Least Square) model was developed. Spectrum saturation can be occurred when most red ginseng has a sound internal quality expressed by higher light transmittance ratio, but that could not found in the ginseng of internal white core under the same light situation. And, if spectrum saturation is obtained, it is hard to identify the exact information of internal quality. In order to evaluate of the internal quality regardless of having internal normal core or white core, an integral time controlled method was used to obtain traditional spectrum. This procedure was applied in real-time process when red ginseng was moving to be graded in the line. Among the 450 samples including 223 internal normal ginsengs and 227 internal white core ginsengs, 315 ginsengs (70%) were used to develop a calibration model and 135 ginsengs were spent to validate the model. The result of quality evaluation by the model was very good showing SEP and bias were 0.3573 and 0.0310, respectively, and the accuracy was 95.6%.

• 한국전자통신학회논문지
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• 제6권1호
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• pp.55-60
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• 2011

스마트폰을 이용한 모바일 인터넷 전화 서비스의 사용이 급속도로 확산되고 있다. 기존의 전화망이나 이동 전화망을 통한 전화 서비스와는 달리 인터넷 전화는 서비스 품질이 보장될 수 없다는 문제점이 있고 특히 무선 환경을 통한 모바일 인터넷 전화 서비스의 경우 이 문제점은 더 심각해 질 수 있다. 따라서 모바일 인터넷 전화의 성공적인 정착과 활성화를 위해서는 보다 체계화된 철저한 품질 관리가 요구된다. 기존의 계측기를 이용한 측정 기반의 사후 품질 관리를 개선하기 위해서 본 논문에서는 서비스 이용자 단말에 설치되어 각종 품질 지표를 측정할 수 있는 소프트웨어를 개발하였다. 개발된 소프트웨어를 이용하면 모바일 음성 서비스의 품질을 상시적인 그리고 서비스 이용자의 능동적인 품질 측정이 가능하다는 장점이 있다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1999년도 제14차 학술회의논문집
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• pp.57-60
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• 1999

An optimal control technique designed for simultaneous tracking and quality control for batch processes. The proposed technique is designed by transforming quadratic-criterion based iterative learning control(Q-ILC) into linear quadratic control problem. For real-time quality inferential control, the quality is modeled by linear combination of control input around target qualify and then the relationship between quality and control input can be transformed into time-varying linear state space model. With this state space model, the real-time quality inferential control can be incorporated to LQ control Problem. As a consequence, both the quality variable as well as other controlled variables can progressively reduce their control error as the batch number increases while rejecting real-time disturbances, and finally reach the best achievable states dictated by a quadratic criterion even in case that there is significant model error Also the computational burden is much reduced since the most computation is calculated in off-line. The Proposed control technique is applied to a semi-batch reactor model where series-parallelreactions take place.

• 상하수도학회지
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• 제19권6호
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• pp.738-748
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• 2005

Considering pollution source is transferred by discharge, it is very important to analyze the correlation between discharge and water quality. And temperature also influent to the water quality. In this paper, it is used water quality data that was measured DO (Dissolved Oxygen), TOC (Total Organic Carbon), TN (Total Nitrogen), TP (Total Phosphorus) at Dalchun real time monitoring stations in Namhan river. These characteristics were analyzed with the water quality of rainy and nonrainy periods. Input data of the water quality forecasting models that they were constructed by neural network and neuro-fuzzy was chosen as the reasonable data, and water quality forecasting models were applied. LMNN (Levenberg-Marquardt Neural Network), MDNN (MoDular Neural Network), and ANFIS (Adaptive Neuro-Fuzzy Inference System) models have achieved the highest overall accuracy of TOC data. LMNN and MDNN model which are applied for DO, TN, TP forecasting shows better results than ANFIS. MDNN model shows the lowest estimation error when using daily time, which is qualitative data trained with quantitative data. If some data has periodical properties, it seems effective using qualitative data to forecast.

• 품질경영학회지
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• 제45권4호
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• pp.933-942
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• 2017

Purpose: The purpose of this paper is to evaluate the performance quality of the open source DBMSs. Performance quality is defined as processing time for Join queries. Query processing time is measured and compared in the most widely used open source DBMSs and commercial DBMS. Methods: By varying the number of tuples of two relations to be joined, the average processing time(seconds) of a Join query in each DBMS was obtained experimentally. ANOVA and Tukey HSD test were used in order to compare the performance quality of DBMSs. Results: There was a significant difference between the performance qualities of the three DBMSs at all experimental levels where the number of tuples was 100, 1,000, 2,000, 10,000, and 50,000. As a result of the Tukey HSD test, two open source DBMSs (MariaDB, MySQL) were classified in the same group only at the tuple level of 100. The commercial DBMS (MS-SQL Server) belonged to another group. At level of more than 1,000 tuples, all three DBMSs belonged to different groups. Conclusion: Within the open source DBMS group, MariaDB showed the better performance quality except for a small number of tuples. Thus the results show that MariaDB can be the alternative to MySQL which is currently most widely used. Between open source DBMS and commercial DBMS groups, MS-SQL Server always shows the best performance quality, but the less number of tuples, the less the difference.

• 한국물환경학회지
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• 제20권4호
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• pp.321-326
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• 2004

The objective of this study is to test the applicability of neural network models to forecast water quality at Naesa and Pyongchang river. Water quality data devided into rainy day and non-rainy day to find characteristics of them. The mean and maximum data of rainy day show higher than those of non-rainy day. And discharge correlate with TOC at Pyongchang river. Neural network model is trained to the correlation of discharge with water quality. As a result, it is convinced that the proposed neural network model can apply to the analysis of real time water quality monitoring.

• 한국산학기술학회논문지
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• 제16권7호
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• pp.4828-4834
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• 2015

Action Time이란 탄이 공이가 뇌관을 격발한 순간부터 총구를 이탈할 때까지의 걸리는 시간을 말한다. 40mm 고속유탄은 장전되면서 격발되는 구조이므로 Action Time이 특정 시간 이내여야 탄피 고착과 같은 악작용을 방지 할 수 있다. 기존 40mm 고속유탄의 Action Time 계측은 신뢰성 있는 측정 장비의 부재로, 그동안 Action Time이 K4기관총 품질 보증에 적용되는 것에 어려움이 있었다. 본 연구에서는 다양한 센서 간 비교와 별도의 발사 장치 고안을 통해 정확한 Action Time을 측정하고자 하였다. 이 장치에서는 공이 부분에 설치된 광센서의 신호와 총열 부분에 설치된 와전류 탐촉자 신호 간 간격이 계측되고, 실시간으로 컴퓨터로 데이터가 전송되게 된다. 계측된 Action Time 결과가 시스템 요구 성능에 충족하는지 여부를 즉시 확인함으로써 40mm 고속유탄의 품질 보증에 중요한 역할을 할 것으로 기대된다.

• 한국정보컨버전스학회논문지
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• 제6권2호
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• pp.61-66
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• 2013

본 연구에서는 회계정보시스템 품질이 전산회계 교육의 만족도에 미치는 영향을 분석하고, 사용자의 컴퓨터 사용시간과 컴퓨터 사용경력이 회계정보시스템 품질과 사용자 만족과의 관계를 조절하는 조절변수로서의 효과를 검증하였다. 실증분석결과 회계정보시스템 품질인 시스템 품질, 정보품질, 서비스 품질은 전산회계 교육의 만족도에 유의한 영향을 미치는 것으로 분석되었다. 조절변수인 컴퓨터 사용시간과 사용 경력을 이용하여 회계정보시스템 품질요인들을 독립변수로, 만족도를 종속변수로 하는 조절회귀분석을 실시한 결과, 컴퓨터 사용시간과 사용경력인 조절효과는 시스템 품질, 정보 품질에 한해 만족도와의 관계에 유의한 조절효과를 미치고 있음을 알 수 있다.

• 한국식생활문화학회지
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• 제33권3호
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• pp.250-260
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• 2018

The Korean buffet restaurant, which was developed by combining the Korean food and a buffet, allows a large menu to be enjoyed at a reasonable price and has become popular with men and women, young and old, and become a new type of eating out. This study examined the effects of the waiting time management and menu quality on the customer satisfaction and re-visit intention in a Korean buffet restaurant to help quality improvement and development of Korean buffet restaurants. The customer satisfaction and re-visit intention only had a significant effect on the staff attitude toward waiting time. Hygiene, sensory factor, and variety of menu quality were significantly related to customer satisfaction and re-visit intention, respectively. In addition, satisfaction with food and service had a significant effect on the re-visit intention and customer satisfaction. Therefore, it is important to establish a virtuous cycle structure that will improve the re-visit intention by satisfying customers through waiting time management and menu quality for the development of Korean buffet restaurants.

• Agribusiness and Information Management
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• 제9권1호
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• pp.18-22
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• 2017

It takes lots of time and labor if a worker have to measure the water quality at a certain but designated time every day in an un-automated aqua farm. In addition, if the equipment is soaked in the sea water consistently, it will be contaminated by diverse floating matters and barnacles, and it often becomes mal-functional within 2~3 months. Therefore, we need to develop a system with which the sensed data could be checked in real time and operated automatically, while preventing the contamination of the sensor, a crucial component for water quality measuring equipment, as much as possible, and increasing the replacement cycle. We have developed a non-cleaning water quality measuring equipment and its software which are used in the fishery household of offshore aqua farms. By providing the workers with a mobile application which has a function of monitoring the water quality in real time, they can check the situation directly without going to the fishery household.