• The Plant Pathology Journal
• /
• v.36 no.5
• /
• pp.406-417
• /
• 2020

Early warning services for crop diseases are valuable when they provide timely forecasts that farmers can utilize to inform their disease management decisions. In South Korea, collaborative disease controls that utilize unmanned aerial vehicles are commonly performed for most rice paddies. However, such controls could benefit from seasonal disease early warnings with a lead time of a few months. As a first step to establish a seasonal disease early warning service using seasonal climate forecasts, we developed the EPIRICE Daily Risk Model for rice blast by extracting and modifying the core infection algorithms of the EPIRICE model. The daily risk scores generated by the EPIRICE Daily Risk Model were successfully converted into a realistic and measurable disease value through statistical analyses with 13 rice blast incidence datasets, and subsequently validated using the data from another rice blast experiment conducted in Icheon, South Korea, from 1974 to 2000. The sensitivity of the model to air temperature, relative humidity, and precipitation input variables was examined, and the relative humidity resulted in the most sensitive response from the model. Overall, our results indicate that the EPIRICE Daily Risk Model can be used to produce potential disease risk predictions for the seasonal disease early warning service.

• Journal of the Korean housing association
• /
• v.16 no.5
• /
• pp.29-38
• /
• 2005

Recently there has been an apparent paradigm shift in housing market towards customer oriented approach. In the midst of increasing competition, there is indeed a need to better understand of customers, and to quickly respond to their individual needs and wants. In this background, this paper aims to show a scientific marketing approach in housing industries, and to provide general information on Japanese condominium housing market in terms of a brief historical overview and recent market situation. Results include that there exists an about twenty year time lag in the start of condominium housing supply in the private sector between Korea and Japan. Besides, more efforts should be paid to the diversity or locality of the supplied housing type or design, especially condominium apartments in Korea compared to those of Japan. Among others this paper emphasized on illustrating the actual applications of analysis on consumers' purchasing behavior and latent conscious coupled with some statistical techniques, which may lead marketers or decision makers to forecast more accurate customers demands.

• Structural Engineering and Mechanics
• /
• v.31 no.1
• /
• pp.57-74
• /
• 2009

Power signals resulting from spindle and feed motor, present a rich content of physical information, the appropriate analysis of which can lead to the clear identification of the nature of the tool wear. The partial least-squares regression (PLSR) method has been established as the tool wear analysis method for this purpose. Firstly, the results of the application of widely used techniques are given and their limitations of prior methods are delineated. Secondly, the application of PLSR is proposed. The singular value theory is used to noise reduction. According to grey relational degree analysis, sample variable is filtered as part sample variable and all sample variables as independent variables for modelling, and the tool wear is taken as dependent variable, thus PLSR model is built up through adapting to several experimental data of tool wear in different milling process. Finally, the prediction value of tool wear is compare with actual value, in order to test whether the model of the tool wear can adopt to new measuring data on the independent variable. In the new different cutting process, milling tool wear was predicted by the methods of PLSR and MLR (Multivariate Linear Regression) as well as BPNN (BP Neural Network) at the same time. Experimental results show that the methods can meet the needs of the engineering and PLSR is more suitable for monitoring tool wear.

• Proceedings of the Korean Geotechical Society Conference
• /
• 2008.10a
• /
• pp.1029-1037
• /
• 2008

The finite element analysis of transient water flow through unsaturated soils was used to investigate effects of hydraulic characteristics, initial relative degree of saturation, methods to consider boundary condition, and rainfall intensity and duration on water pressure in slopes. The finite element method with shear strength reduction technique was used to evaluate the stability of slopes under rainfall. The slope-related disasters in Korea usually occur between July and September during the typhoon and localized heavy rain. This means that the rainfall is the most important factor that leads to the slope-related disasters. The slope-related disasters can happen at very short time and lead to big damage. To forecast the change of the heave of the groundwater in slope the Seep/w program was used.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2021.06a
• /
• pp.347-347
• /
• 2021

국내 호우 및 태풍으로 인한 홍수피해는 전체 자연재해 피해액 중 90%에 달할 정도로 심각하다. 홍수 피해는 국내의 기후적 특성으로 인해 매년 반복될 뿐만 아니라 최근엔 기후변화로 인해 강우 패턴이 변함에 따라 홍수 대응에 대한 새로운 해결책이 요구되는 상황이다. 이러한 니즈에 맞춰 국내의 홍수 관리 기술 및 제도도 빠르게 발전해왔다. 기술적으로는 수문 관측 밀도, 자료의 축적, 전송, 분석기법 등이 상당한 수준에 이르고 있다. 다만, 단기 강우 예측, 고도화된 홍수해석모형, GIS와의 연계 등이 홍수 예경보 시스템과 실무에 직접적으로 활용되기 위해서는 아직 개발기술에 대한 실용화 연구 및 적용검증이 필요하다. 뿐만 아니라, 제도적으로도 「수자원의 조사·계획 및 관리에 관한 법률 및 시행규칙」을 통해 하천구역 및 그 배후지역에서 홍수로 인명과 재산에 대한 피해가 예상될 경우 홍수 예경보를 실시하도록 하고 있다. 그러나 최근 도달시간이 짧아 홍수선행예보시간이 확보되지 못하는 경우 등이 발생하며 홍수특보 기준에 대한 보완의 필요성이 제기되고 있다. 본 연구에서는 충분한 선행예보시간 확보 및 신속한 홍수대응을 위하여 홍수발생 및 예경보 발령 사례를 분석하고자 한다. 현재 홍수특보 발령 기준은 홍수위험정도에 따라 홍수주의보 또는 홍수경보로 구분하여 발령하도록 하고 있다. 홍수위험정도의 기준은 일반적으로 수위 또는 유량을 기준으로 하고 있으며, 이를 기준수위라고 정의하여 관리하고 있다. 본 연구에서는 홍수특보지점별 사례를 통해 지점의 지형적 특성, 기준수위, 기준수위에 도달시간을 종합적으로 분석하였다. 분석결과를 바탕으로 기존의 홍수특보를 효과적으로 운영하고 홍수피해를 저감하기 위해 고려해야 할 요소를 제시하였다.

• Atmosphere
• /
• v.30 no.2
• /
• pp.195-207
• /
• 2020

This study aims to introduce the structure of the impact-based heat health warning system on 165 counties in South Korea developed by the National Institute of Meteorological Sciences. This system was developed using the daily maximum perceived temperature (PTmax), which is a human physiology-based thermal comfort index, and the Local ENSemble prediction system for the probability forecasts. Also, A risk matrix proposed by the World Meteorological Organization was employed for the impact-based forecasts of this system. The threshold value of the risk matrix was separately set depending on regions. In this system, the risk level was issued as four levels (GREEN, YELLOW, ORANGE, RED) for first, second, and third forecast lead-day (LD1, LD2, and LD3). The daily risk level issued by the system was evaluated using emergency heat-related patients obtained at six cities, including Seoul, Incheon, Daejeon, Gwangju, Daegu, and Busan, for LD1 to LD3. The high-risks level occurred more consistently in the shorter lead time (LD3 → LD1) and the performance (r_s) was increased from 0.42 (LD3) to 0.45 (LD1) in all cities. Especially, it showed good performance (r_s = 0.51) in July and August, when heat stress is highest in South Korea. From an impact-based forecasting perspective, PTmax is one of the most suitable temperature indicators for issuing the health risk warnings by heat in South Korea.

• Journal of Korea Water Resources Association
• /
• v.52 no.7
• /
• pp.475-482
• /
• 2019

Subseasonal-to-Seasonal (S2S) prediction information which have 2 weeks to 2 months lead time are expected to be used through many parts of industry fields, but utilizability is not reached to expectation because of lower predictability than weather forecast and mid- /long-term forecast. In this study, we used multi-layer perceptron (MLP) which is one of machine learning technique that was built for regression training in order to improve predictability of S2S precipitation data at South Korea through post-processing. Hindcast information of ECMWF was used for MLP training and the original data were compared with trained outputs based on dichotomous forecast technique. As a result, Bias score, accuracy, and Critical Success Index (CSI) of trained output were improved on average by 59.7%, 124.3% and 88.5%, respectively. Probability of detection (POD) score was decreased on average by 9.5% and the reason was analyzed that ECMWF's model excessively predicted precipitation days. In this study, we confirmed that predictability of ECMWF's S2S information can be improved by post-processing using MLP even the predictability of original data was low. The results of this study can be used to increase the capability of S2S information in water resource and agricultural fields.

• 제어로봇시스템학회:학술대회논문집
• /
• 2005.06a
• /
• pp.2568-2574
• /
• 2005

Control architecture of the action based robot engineering can be divided into two types of deliberate type - and reactive type- controller. Typical deliberate type, slow in reaction speed, is well suited for the realization of the higher intelligence with its capability to forecast on the basis of environmental model according to time flow, while reactive type is suitable for the lower intelligence as it fits to the realization of speedy reactive action by inputting the sensor without a complete environmental model. Looking at the environments in the application areas in which robots are actually used, we can see that they have been mostly covered by the uncertain and unknown dynamic changes depending on time and place, the previously known knowledge being existed though. It may cause, therefore, any deterioration of the robot performance as well as further happen such cases as the robots can not carry out their desired performances, when any one of these two types is solely engaged. Accordingly this paper aims at suggesting Goal-oriented Geometric Model(GGM) Based Intelligent System Architecture which leads the actions of the robots to perform their jobs under variously changing environment and applying the suggested system structure to the navigation issues of the robots. When the robots do perform navigation in human life changing in a various manner with time, they can appropriately respond to the changing environment by doing the action with the recognition of the state. Extending this concept to cover the highest hierarchy without sticking only to the actions of the robots can lead us to apply to the algorithm to perform various small jobs required for the carrying-out of a large main job.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.31 no.6 s.165
• /
• pp.879-891
• /
• 2007

Forecasting is a critical task for fashion companies because of continuous change in fashion and long process lead-time. Therefore, it is of great importance for both scholars and companies to understand how forecasted fashion styles are accepted by consumers. This research aimed to investigate consumer acceptance of fashion styles in Korea. The study examined and compared oversea collections of women's wear to the street fashion in Korea for seven seasons from 02 s/s to 05 s/s. Information on oversea collections were obtained from the magazine, Fashion Show, and the street fashion information from Seoul Fashion Design Center. The results showed that overall trends presented in oversea collections have been well accepted, while acceptance of specific styles or items varied. During the period of this research, sporty style and feminine style were very strong in the street fashion. Many styles and items were modified and selectively accepted probably because of cultural differences and limitations of mass production. Some styles which were presented in oversea collections were not accepted in Korea, and at the same time some cases were observed only in the street fashion in Korea. The results of this study provide guidelines for Korean apparel companies in merchandise planning and empirical findings to deepen the understanding on Korean society with respect to fashion.

• Journal of the Korean Society of Fisheries and Ocean Technology
• /
• v.42 no.2
• /
• pp.78-85
• /
• 2006

A survey on the fishing gear for octopus drift-line fishing was done in Gangwon-do, Sacheon, Gyeongnam and Hokkaido, Japan, while a survey on the environments of fishing grounds used data from January to August from the Korea east coast farming forecast system of Donghae Fisheries Research and Development Institute. The present situation of fishing was examined with boats engaging in drift-line fishing from March to August in the coastal waters along Gangneung. The fishing tackle for octopus drift-line fishing was made manually, and the size, shape, and weight of the hook and number of shooting used vary according to the fishing time and region. Lead is used as the material for sinkers. As bait, pork fat with skin is mostly used in Gangwon-do. The temperature of the bottom water layer in the coastal fishing ground of Gangneung from April to June ranges from $3.2-12.4^{\circ}C$, which is the optimal temperature for octopuses. During July and August, the temperature ranges from $5.0-20.6^{\circ}C$. The maximum difference between day and night temperatures reached up to $9.2^{\circ}C$. Salinity is generally stable at $33.2-35.324.6%_{\circ}$, which does not affect the inhabitation of octopuses. The octopus catch reached its peak from May to July, while most octopuses weighed less than 1 kg (76.7%). The results show that it is effective to carry out octopus drift-line fishing up to a depth of 40 meters; and that the maximum number of octopuses per line is obtained with an operation time of six hours.