• 한국콘텐츠학회논문지
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• 제13권4호
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• pp.440-451
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• 2013

과학기술의 발전 분야의 발전 동향을 신속히 파악하기 위해 기술로드맵을 효율적으로 작성할 필요성이 제기되었다. 이를 위해 논문이나 특허를 이용한 계량정보적 접근이 많이 시도되고 있다. 하지만 의류학에서 이러한 계량정보분석은 거의 이루어지지 않고 있다. 따라서 본 연구는 스마트 의류에 대한 특허정보를 이용한 실증적 정보분석을 통해 스마트 의류의 최근 기술동향 및 향후 기술개발방향을 살펴보았다. 또한 기존의 기술동향 지수와 특허 패밀리로 표시되는 시장확보 지수를 활용하여 국가별, 핵심 분야별 기술개발력과 시장확보력에 대한 분석을 시도하였다. 분석 결과, 스마트 의류의 전체적인 기술개발은 2000년 이후 지속적으로 증가 추세를 나타냈으며, 포트폴리오 분석 결과, 매년 특허건수와 출원인 수가 지속적으로 증가하고 있는 것으로 파악되어 스마트 의류 관련 기술은 현재 발전단계에 있는 것으로 분석되었다. 또한 특허점유율과 시장확보지수를 비교한 결과 전자/정보통신 기술분야가 가장 높게 나타나 상대적으로 선기술 확보 경쟁과 시장 확대 경쟁이 큰 분야로 판단된다. 본 연구에서 제시한 시장확보 지수를 포함한 기술의 경제적 가치 분석 방법은 핵심 기술의 현 위치와 향후 발전 방향을 파악하기 위한 프로세스에 활용될 수 있을 것으로 판단된다.

• International Journal of Internet, Broadcasting and Communication
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• 제12권1호
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• pp.130-136
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• 2020

There are many problems that occur currently in agriculture industries. The problems such as unexpected of changing weather condition, lack of labor, dry soil were some of the reasons that may cause the growth of the plants. Condition of the weather in local area is inconsistent due to the global warming effect thus affecting the production of the crops. Furthermore, the loss of farm labor to urban manufacturing jobs is also the problem in this industry. Besides, the condition for the plant like air humidity, air temperature, air quality index, and soil moisture are not being recorded automatically which is more reason for the need of implementation system to monitor the data for future research and development of agriculture industry. As of this, we aim to provide a solution by developing IoT-based platform along with the irrigation for increasing crop quality and productivity in agriculture field. We aim to develop a smart garden system environment which the system is able to auto-monitoring the humidity and temperature of surroundings, air quality and soil moisture. The system also has the capability of automating the irrigation process by analyzing the moisture of soil and the climate condition (like raining). Besides, we aim to develop user-friendly system interface to monitor the data collected from the respective sensor. We adopt an open source hardware to implementation and evaluate this research.

• 펄프종이기술
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• 제33권1호
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• pp.64-72
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• 2001

The cigarette ventilation affects not only the amount of tar and nicotine delivery by a cigarette, but also the composition of the smoke. Therefore, it is important to stabilize of variability in cigarette ventilation that would be affected by changes in cigarette components. This work was conducted to determine the major factors that influence the cigarette ventilation and also to provide fundamental informations for improving the uniformity of cigarette performances. To evaluate the effect of cigarette ventilation as a dependant variable, the three independent factors were the air permeability of plugwrap, tipping paper and the filter pressure drop. We determined the effect of paper permeability on ventilation variability and the optimum condition in combinations of independent factors. The mean of cigarette ventilation was increased as plugwrap permeability increases, particularly at 26,000 CU. However, it was exhibited that standard deviation and coefficient of variation of the cigarette ventilation were decreased with increasing plugwrap permeability. At the 600 CU and 1,200 CU of tipping paper permeability, process capability index (Cp) of the cigarette ventilation increased as plugwrap permeability increases. Following the optimum condition of cigarette ventilation induced by fitted regression equation, one was to optimize 50% ventilation level is by combination with plugwrap permeability of 16,000 CU, tipping paper permeability of 810 CU, filter pressure drop of 319 mm$H_2O$, respectively.

• 융합경영연구
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• 제10권5호
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• pp.1-6
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• 2022

Purpose: To overcome the question that depends too much on expert's subjective judgment in traditional risk identification, this paper structure the multilevel generalized fuzzy comprehensive evaluation mathematics model of the risk identification of project, to research the risk identification of the project. Research design, data and methodology: This paper constructs the multilevel generalized fuzzy comprehensive evaluation mathematics model. Through iterative algorithm of AHP analysis, make sure the important degree of the sub project in risk analysis, then combine expert's subjective judgment with objective quantitative analysis, and distinguish the risk through identification models. Meanwhile, the concrete method of multilevel generalized fuzzy comprehensive evaluation is probed. Using the index weights to analyse project risks is discussed in detail. Results: The improved fuzzy comprehensive evaluation algorithm is proposed in the paper, at first the method of fuzzy sets core is used to optimize the fuzzy relation matrix. It improves the capability of the algorithm. Then, the method of entropy weight is used to establish weight vectors. This makes the computation process fair and open. And thereby, the uncertainty of the evaluation result brought by the subjectivity can be avoided effectively and the evaluation result becomes more objective and more reasonable. Conclusions: In this paper, we use an improved fuzzy comprehensive evaluation method to evaluate a railroad engineering project risk. It can give a more reliable result for a reference of decision making.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.308-314
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• 2013

Although global construction spending has experienced slow growth due to consecutive economic crises, global contractors have consistently attempted to expand their overseas market share, leading to more intense competition among contractors in the international construction market. In this market environment, owners, clients and financial institutions require reasonable and systematic criteria to effectively assess the business capabilities of international construction firms. However, the existing evaluation methods for construction firms rarely consider overseas-focused business capabilities. To address this problem, this study proposes a quantitative approach to assessing the overseas business capabilities of international construction firms. The limitations of existing approaches are reviewed, and the capabilities required to perform overseas businesses are analyzed through expert interviews. Finally, 18 evaluation indices are suggested in four categories: technology resources, project management, experience and performance, and sustainability. The relative weight of each index is determined according to the Analytical Hierarchy Process (AHP) method, and a preliminary investigation of 11 Korean construction firms is conducted. The proposed method is expected that it will provide the rational criteria for international owners, clients, and financial institutions for decision-making and for evaluating international contractors.

• 대한전기학회논문지:시스템및제어부문D
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• 제53권1호
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• pp.40-49
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• 2004

In this paper, we propose a new architecture of Genetic Algorithms(GAs)-based Self-Organizing Polynomial Neural Networks(SOPNN), discuss a comprehensive design methodology and carry out a series of numeric experiments. The conventional SOPNN is based on the extended Group Method of Data Handling(GMDH) method and utilized the polynomial order (viz. linear, quadratic, and modified quadratic) as well as the number of node inputs fixed (selected in advance by designer) at Polynomial Neurons (or nodes) located in each layer through a growth process of the network. Moreover it does not guarantee that the SOPNN generated through learning has the optimal network architecture. But the proposed GA-based SOPNN enable the architecture to be a structurally more optimized network, and to be much more flexible and preferable neural network than the conventional SOPNN. In order to generate the structurally optimized SOPNN, GA-based design procedure at each stage (layer) of SOPNN leads to the selection of preferred nodes (or PNs) with optimal parameters- such as the number of input variables, input variables, and the order of the polynomial-available within SOPNN. An aggregate performance index with a weighting factor is proposed in order to achieve a sound balance between approximation and generalization (predictive) abilities of the model. A detailed design procedure is discussed in detail. To evaluate the performance of the GA-based SOPNN, the model is experimented with using two time series data (gas furnace and NOx emission process data of gas turbine power plant). A comparative analysis shows that the proposed GA-based SOPNN is model with higher accuracy as well as more superb predictive capability than other intelligent models presented previously.

• Industrial Engineering and Management Systems
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• 제15권3호
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• pp.231-238
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• 2016

Traditional acceptance sampling plans have focused on the proportion of nonconforming items as an attribute criterion for quality. In today's modern quality management under high quality production environments, the reduction of the deviation from a target value in a quality characteristic has become the most important purpose. In consequence, various inspection plans for the purpose of reducing the deviation from the target value in the quality characteristic have been investigated. In this case, a concept of the quality loss evaluated by the deviation from the target value has been accepted as the variable evaluation criterion of quality. Further, some quality measures based on the quality loss have been devised; e.g. the process loss and the process capability index. Then, as one of inspection plans based on the quality loss, the rigorous design procedure for the variable sampling plan having desired operating characteristics (VS-OC plan) indexed by the quality loss has been proposed by Yen and Chang in 2009. By the way, since the estimator of the quality loss obeys the non-central chi-square distribution, the rigorous design procedure for the VS-OC plan indexed by the quality loss is complicated. In particular, the rigorous design procedure for the VS-OC plan requires a large number of the repetitive and complicated numerical calculation about the non-central chi-square distribution. On the other hand, an approximate design procedure for the VS-OC plan has been proposed before the proposal of the above rigorous design procedure. The approximate design procedure for the VS-OC plan has been constructed by combining Patnaik approximation relating the non-central chi-square distribution to the central chi-square distribution and Wilson-Hilferty approximation relating the central chi-square distribution to the standard normal distribution. Then, the approximate design procedure has been devised as a convenient procedure without complicated and repetitive numerical calculations. In this study, through some comparisons between the rigorous and approximate design procedures, the applicability of the approximate design procedure has been confirmed.

• 지식경영연구
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• 제22권2호
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• pp.289-300
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• 2021

부동산 시장에 정보기술이 적용된 프롭테크는 다양한 가치창출모델들을 제시하면서 부동산 거래혁신을 이끌고 있다. 본 연구에서는 프롭테크에 기반한 비즈니스에서 창출 및 공유되고 있는 가치를 분류하여 이해하는 동시에, 개별 가치 영역 간의 상대적 중요도를 반영한 평가자료를 개발하고자 한다. 이를 위하여 프롭테크의 가치창출 차원을 위계적으로 구성하였고, 다종 산업이 혼재되어 있는 프롭테크 산업의 하위 산업에 대한 상대적 가치창출 정도를 평가하였다. 제안된 지표 간의 상대적 중요성을 파악하기 위하여 업계 및 학계 전문가를 대상으로 AHP 분석을 시행하였다. 1단계에서는 무형적 가치, 관계적 가치, 고도화 가치를 제시하였으며, 2단계의 분해과정을 거쳐 총 9개 평가지표들의 이원 비교를 통하여 지표 간 가중치를 도출하였다. 본 연구는 프롭테크 산업의 부문별 가치창출 정도를 평가해 봄으로써, 향후 한국 프롭테크 생태계 전반의 가치창출 역량 향상 및 발전을 도모하고자 하였다.

• 한국수자원학회논문집
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• 제45권11호
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• pp.1143-1156
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• 2012

수자원 시스템의 중요한 기능 중 하나는 갈수 피해를 방지하는 것이다. 그러나 댐에 의한 용수공급계획은 이용 가능한 자료의 한계, 조사 자료의 부정확, 해석 방법의 부적합 그리고 기후변화 등의 요인에 의해 불확실성이 존재한다. 실제 운영과정에서는 이수안전도를 초과하는 이상가뭄 발생 시 용수부족이 발생하여 제한급수 등 정상적인 물이용이 불가능해진다. 그러나 우리나라는 가뭄에 의해 물부족이 발생할 경우 대체수원개발 등 딱히 마땅한 대처수단이 없으며, 갈수대책을 위한 수원확보도 미미한 실정이다. 특히 이상가뭄에 의한 피해정도를 고려하여 용수공급효과를 평가할 수 있는 기준이 마련되어 있지 못해 현실적인 대책을 마련하기 어려운 실정이다. 본 연구는 기 제시되어 있는 용수부족지표를 이용하여 기존 다목적댐의 저수(低水) 용량을 비상용수 공급원으로 활용하는 방안에 대하여 검토하였다. 기존 다목적댐의 유량자료를 이용하여 용수부족 사상을 분석하고 용수부족 감소효과를 평가하였다. 적용 결과 임하, 대청, 합천 및 남강댐의 경우 이상가뭄에 매우 취약한 것으로 나타났으며 가뭄대비용 비상용수의 추가 확보가 필요한 것으로 나타났다.

• 한국인터넷방송통신학회논문지
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• 제13권6호
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• pp.115-121
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• 2013

본 논문은 송신 부호가 대역 제한, 위상 찌그러짐이 존재하는 비선형 통신 채널을 통과할 때 발생되는 부호간 간섭을 보상하기 위한 블라인드 등화 알고리즘인 SE-MMA (Signed-Error MMA)의 roburstness 성능을 개선할 수 있는 DSE-MMA (Dithered Sign-Error MMA)에 관한 것이다. SE-MMA는 등화기의 탭 계수 갱신을 위하여 곱셈 대신 1 bit 양자화기를 사용하므로 알고리즘의 연산량을 줄일 수 있어 H/W 응용에 유리하지만, 양자화 과정에서 발생되는 정보 손실에 의하여 전체적인 블라인드 등화 성능 알고리즘이 MMA보다 열화되는 단점이 있다. DSE-MMA는 SE-MMA의 단점 중에서 roburstness를 나타내는 SER 성능을 개선키 위하여 양자화 전에 dither 신호를 이용하는 Dithered Signed-Error 개념을 MMA에 적용하였으며, SE-MMA 와 MMA 알고리즘이 갖는 부호간 간섭에 의한 진폭과 위상 찌그러짐을 동시 보상 능력을 갖는다. 논문에서 DSE-MMA 블라인드 등화 알고리즘의 성능을 나타내는 지수로는 등화기 출력 신호, 잔류 isi, MD (Maximum Distortion), MSE와 SER를 사용하였으며, 이들 성능 지수를 적용할 때 SE-MMA 알고리즘과 비교하기 위하여 컴퓨터 시뮬레이션을 수행하였다. 시뮬레이션 결과 DSE-MMA가 SE-MMA 보다 roburstness 와 정상 상태 이후 성능 지수의 양에서 개선됨을 알 수 있었지만, 초기 상태에서 정상 상태에 도달하는 수렴 속도에서는 늦어짐을 확인하였다.