작물 생육 진단에 있어서 군락 엽면적과 군락 피복은 주한 요소 이다. 최근에는 이러한 측정을 디지털 카메라를 활용하여 RGB 식생지수로 작물 생육을 측정하고 있다. 본 연구는 밀 재배 기간 카메라의 노출 값을 다르게 설정하여 RGB 컬러 식생 지수와 군락 엽면적지수 및 군락피복에 대해 평가하였다. 군락 엽면적, 군락 피복 및 디지털 영상 측정은 출수 16일전부터 출수 후 25일까지 하였다. 일출 후 30분 이내에 촬영하였다. 노출 값은 셔터 속도를3 수준(1/60s, 1/340s, 1/640s)으로 하였다. RGB 컬러 식생지수 분석은 파이썬으로 하였다. 실제 군락 엽면적과 군락 피복간에는 정의 상관관계(r2 =0.94)를 보였다. 군락 피복 이미지의 ExG, GLI, NGRDI, ExG-ExR, MExG, TGI, MNGRD 및 MExG-CIVE는 군락 엽면적 지수와 및 군락 피복과는 정의 상관관계를 보였다. 그러나 CIVE와 ExR은 부의 상관관계를 보였다. 본 연구 결과 1/640s 가 1/60s와 1/320s에 비하여 노출이 높게 설정된 것으로 보였다. 또한, 토양과 녹색 영역을 분리하는데 있어서 너무 어린 시기 보다는 출수 전이 가장 잘 분리되었다. 따라서 야외에서의 다양한 광 조건에서는 과도한 노출보다는 광 간섭을 줄이는 기술과 함께 작물의 생육 시기와 기상환경을 고려하여 노출 값이 설정되어야 할 것이다.

본 연구는 2018, 2019, 2020년 논에서의 배수 깊이에 따른 식용(일미찰), 사료용 옥수수(광평옥) 그리고 장류콩(대원콩) 및 나물콩(해품콩)에 대한 생육 특성과 수량 구성요소를 비교 검토하고자 수행하였다. 논의 배수로 폭은 80cm로 고정하고 깊이를 20cm과 40cm로 각각 달리하였다. 연차간에 있어서 일미찰은 간장, 착수고, 이삭무게 이삭착립장 및 이삭 수량이 고도의 유의성이 나타났으며, 광평옥도 일미찰과 유사한 반응을 보였다. 배수로 깊이에서는 40cm가 20cm보다 수량이 고도로 유의하게 높았다. 한편, 연차간 해품콩은 간장, 분지, 꼬투리 수, 미 성숙 종자률, 100립 중 및 종실 수량에 고도의 유의한 차이를 보였다. 반면, 대원콩은 간장, 100립중, 수량간에 고도로 유의하였다. 배수로 깊이 간에는 해품콩과 대원콩의 수량은 통계적 유의한 차이는 나지 않았지만 20cm보다 40cm에서 수량이 약간 높았다. 본 연구 결과 옥수수의 수량은 배수로 깊이에서 따라 통계적인 고도 유한 차이를 보였으나 콩은 통계적인 차이는 나타나지 않았으나 40cm이 20cm보다는 높았다. 한편 콩은 미성숙 종자률은 배수로 깊이에 효과적으로 차이를 보였다. 따라서 논에서 옥수수 또는 콩을 재배시 가장자리에 20cm 배수로 보다는 40cm 배수로 설치를 권장한다.

This study was conducted to develop a technique for the stable production of Italian ryegrass(IRG) seeds in reclamation sites. Harvesting 35 days after heading in Autumn resulted in the highest production, an average of 2,232kg/ha. The production yield decreased due to seed loss as harvesting was delayed to 45 and 55 days post-heading. For the harvested 35 days post-heading, under growing rice sowing resulted in 80% seed yield of after rice sowing's; spring sowing resulted in 40%. After rice sowing using the domestic IRG seeds of 30kg/ha produced the highest seed yield of 2,507kg/ha. The highest straw yield has resulted when using the imported IRG seeds of 20kg/ha for after rice sowing 35 days post-heading fresh weight 36,667kg/ha, dry weight 14,500kg/ha, and TDN weight 7,895kg/ha.

This study investigated the surface pit corrosion of SS420J2 stainless steel accompanied by intergranular crack. To reveal the causes of surface pits and cracks, OM, SEM, and TEM analyses of the microstructures of the utilized SS420J2 were performed, as was simulated heat treatment. The intergranular cracks were found to have been induced by a grain boundary carbide of (Cr,Fe)23C6, which was identified by SEM/EDS and TEM diffraction analyses. The mechanism of grain boundary sensitization occurred at the position of the carbide, followed by its occurrence at the Cr depleted zone. The grain boundary carbide of (Cr,Fe)23C6 type precipitated during air cooling condition after a 1038 °C solid solution treatment. The carbide precipitate formation also accelerated at the band structure formed by cold working. Therefore, using manufacturing processes of cooling and cold working, it is difficult to protect SS420J2 stainless steel against surface pit corrosion. Several counter plans to fight pit corrosion by sensitization were suggested, involving alloying and manufacturing processes.

The aim of this study is to consider the effect hydrogen on dezincification behavior of Cu-Zn alloys. The investigations include microstructural observations with scanning electron microscope and chemical composition analysis with energy dispersive spectrometer. The dezincification layer was found to occur in high pressure hydrogen atmosphere, not in air atmosphere. In addition, the layers penetrated into the inner side along the grain boundaries in the case of hydrogen condition. The shape of the dezincification layers was porous because of Zn dissolution from the α or β phase. In the case of stress corrosion cracks formed in the Cu-Zn microstructure, the dezincification phenomenon with porous voids was also accompanied by grain boundary cracking.

Human emotion is a point to communicate each other. we applied human emotion to make computer interface. In this paper, we have researched the next generation interface technology "Bio Feedback system" which enabled us to estimate an emotional state of human being and so we applied it to embody ‘NPC’ using "Reinforcement Learning Algorithm" which is able to respond appropriately to human being’s emotions.

In terms of development of intelligent information devices, the most important element is the function which is able to deliver the information user wants to input on the device without complexities. By using the mean such as our voice, expression, gesture and physical contact we use in our daily routine, we are able to interact with device easily and simply. In this paper, we are initiated to present interactive surface system, in which allows users to use their hand gesture as a function of mouse and keyboard free, to be interacted within the platform of management strategy simulation game we developed, ‘R-Day’.

오늘날 게임의 대형 산업화는 각종 새로운 멀티미디어 콘텐츠 및 새로운 직업까지 창출 하고 있다. 하지만 게임을 개발해내야 하는 게임 업체와 개발자들의 입장에서 게임을 개발하는 기술은 새로운 패러다임을 요구하는 것이 현재 우리가 처한 현실이다. 거대한 개발 투자 비용에 비해 창의적인 게임의 정체는 이미 예견되고 있으며, 그것을 해결하고자 새로운 솔루션이 개발되기 위한 노력이 지속 되고 있다. 이런 움직임 속에서 Microsoft가 발표한 새로운 패러다임을 제시하기 위한 솔루션이 XNA이다. Microsoft의 XNA가 향후 새로운 게임의 패러다임을 이끌어 나갈 수 있는 새로운 솔루션이 될 수 있을 것인지 통찰하여 게임 패러다임의 새로운 방향을 제시해 보고자 한다.

바이오피드백 기술은 인간의 신체적인 신호들로부터 나온 신호들을 통하여 신체의 신호를 제어하고 향상 시킬 수 있는 기술이다. 최근 자율신경계의 컨트롤도 훈련을 통하여 스스로 가능하다는 사실이 입증되면서 감성 분야에서 활발한 연구가 진행 중이다. 본 연구에서는 자율반응이나 뇌파를 통하여 스스로 게임을 통한 스포츠 시뮬레이션 훈련이 가능하도록 하는 바이오피드백 훈련 방법을 개발하였다. 개발된 바이오피드백 게임 콘텐츠를 보다 효과적으로 구현하기 위하여 뇌파, 심전도, 호흡, 맥파, 피부전기반사의 통합 생리지표를 분석하였다. 또한 보다 사실적인 훈련이 가능하도록 실제 양궁선수들의 신체적 감성을 분석하고 데이터베이스화 하여 일반인들도 쉽게 양궁선수들과 같은 상태의 생체 감성을 스스로 컨트롤할 수 있도록 하였다.

This study aims to examine the usefulness on the Evaluation Process for the Feasibility & Priority of A Certain Public Projects. and the Methodology used AHP(Analytic Hierarchy Process) which used pairwise comparisons of the alternatives and criteria for solving discrete alternative multicriteria decision problems. In this paper, we present a similar phenomenon, rank reversal problem, when we apply the AHP to group decision making process. The problem is identified by an example problem in that the previous rank order of Public Projects choices. we also present three different methods to prevent the undesirable characteristic of the original AHP in appling to Decision Making Process.

The basis of cyber trading has been sufficiently developed with innovative advancement of Internet Technology and the tendency of stock market investment has changed from long-term investment, which estimates the value of enterprises, to short-term investment, which focuses on getting short-term stock trading margin. Hence, this research shows a Short-term Stock Price Forecasting System on Learning Agent System using DTA(Decision Tree Algorithm) ; it collects real-time information of interest and favorite issues using Agent Technology through the Internet, and forms a decision tree, and creates a Rule-Base Database. Through this procedure the Short-term Stock Price Forecasting System provides customers with the prediction of the fluctuation of stock prices for each issue in near future and a point of sales and purchases. A Human being has the limitation of analytic ability and so through taking a look into and analyzing the fluctuation of stock prices, the Agent enables man to trace out the external factors of fluctuation of stock market on real-time. Therefore, we can check out the ups and downs of several issues at the same time and figure out the relationship and interrelation among many issues using the Agent. The SPFA (Stock Price Forecasting System) has such basic four phases as Data Collection, Data Processing, Learning, and Forecasting and Feedback.

The assembly tolerance design methods have applied linear or nonlinear programming methods and used simulation method and search algorithms to optimize the tolerance allocation of each part in an assembly. However, those methods are only considered to the relationship between tolerance and manufacturing cost, which do not consider a quality loss cost for each part tolerance. In this paper, the integrated simulation model used genetic algorithm and the Monte-Carlo simulation method was developed for the allocation of the optimal tolerance considering the manufacturing cost and quality loss cost.

Statistical analysis was carried out to identify the influence on environmental factors between paddy water chemical properties and Chl-a concentration (algae biomass index) using water samples collected in June for 3 years at rice paddy field. As a result of correlation analysis, there was a significantly negative relationships in DO(-0.366) and pH(-0.141). In contrast, significantly positive relationships were founded in COD(+0.431) and TOC(+0.422). According to the result of factor analysis, 3 factors were obtained and indicated that PC1 were Ca, K, Mg cation, PC2 were TOC, T-P, PO4 3--P and DO, and PC3 were T-N and NH4 +-N. As a result of linear regression analysis to develop a prediction model for chl-a concentration, the total amount of explanation was 20.6%, PC2 had the greatest influence on the increase of chl-a concentration and PC1 also showed a positive correlation but the PC3 has a negative correlation. In conclusion, carbon and phosporous content are the main factors for the increase algae blooms of rice paddy.