• 한국주거학회논문집
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• 제13권4호
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• pp.11-17
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• 2002

During the rapid economic growth, many buildings have been built unfaithfully. As a result, the buildings have finished their role in 10 years with dangerous structural elements and deteriorative facilities. This study planned to renovate an old independent house as an original and individual interior space which is its advantage. A house is not the place to eat and sleep, but multiple space with various functions, such as shelter, working, rest, and education. The purpose of this study was to make house environment useful and comfortable by understanding such a situation and by predicting future problems.

• 대한토목학회논문집
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• 제39권6호
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• pp.833-839
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• 2019

BIS (Bus Information System:버스정보시스템, 이하 BIS)는 시내버스 운행과 관련된 각종 정보를 수집하고 예측알고리즘을 통해 이용객에게 정보를 제공하고 있다. 동일 구간의 최근 정보를 통한 예측방법은 해당 구간의 소통상황을 반영하지만 예측 대상노선의 특성을 반영할 수 없다는 한계가 있다. 해당노선의 동시간대 과거이력자료를 통해 예측하는 방법은 소통상황의 변동성이 큰 첨두시 예측에 한계가 있는 실정이다. 따라서 예측대상 시점의 통행패턴을 인식하고 가장 유사한 과거 시점의 통행패턴을 선택할 수 있는 패턴인식형 버스도착시간 예측 알고리즘을 개발하였다. 본연구의 예측 결과를 서울시 BIS 도착예측정보이력과 비교 검증한 결과 각 정류장 간 통행시간의 평균제곱근오차가 비첨두시 약 35초(기존: 40초), 첨두시 약 40초(기존: 60초)로 기존대비 약 10~20 %의 개선을 보였다. 이는 동일 과거 시간대 외의 시간대에 현재 교통상황을 대표할 수 있는 자료가 존재함을 의미한다.

• Journal of Advanced Marine Engineering and Technology
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• 제41권1호
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• pp.56-61
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• 2017

본 논문은 시간지연이 있는 데이터의 예측기법과 햅틱기반의 원격조작시스템에서의 응용방법을 다룬다. 일반적으로 네트워크 환경은 데이터 전송에 따른 시간지연이 필수적으로 동반되며, 햅틱기반의 원격조작시스템이 이러한 네트워크 환경에 구현되는 경우 시간지연으로 인해 전체 시스템의 성능저하를 피할 수 없다. 이러한 상황을 고려하여, 본 논문은 ARMA모델을 기반으로 모델파라미터의 학습방법과 실시간 예측을 위한 재귀적 알고리즘을 제안한다. 제안된 방법은 가상공간에 놓인 물체에 대하여 양방향 햅틱 상호작용의 상황에서 5ms의 샘플링 주기로 획득한 햅틱데이터에 적용되며, 그 결과로서 100ms 이후의 값을 예측함에 있어 위치수준 오차 1mm이내의 예측성능을 보였다.

• Journal of Information Science Theory and Practice
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• 제10권4호
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• pp.23-37
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• 2022

The pandemic of Coronavirus disease (COVID-19) has contributed more challenges for mothers as the family's primary caregiver in overcoming the widespread infection. Pandemic-related information is essential for mothers to reduce uncertainty as well as to maintain the health of family members during this unprecedented situation. Adopting the framework of the Situational Theory of Problem Solving, this study extends the theory by, first, testing the mediating role of COVID-19 anxiety on mothers' information seeking and information forwarding, referred to as active communication action of problem solving, as well as preventive behavior; and second, by predicting the effect of information seeking on preventive behavior. Referring to an online survey from 371 Indonesian mothers, the findings suggest that in terms of direct effect, only problem recognition was found to have no significant effect on situational motivation. The results suggest that Indonesian mothers perceive COVID-19 as personally relevant so that they are motivated to solve the problem by seeking and forwarding related information. In addition, COVID-19 anxiety was found to play a significant role in predicting information seeking, information forwarding, and preventive behavior. The result of this study is expected to give insights for risk communicators and health professionals in Indonesia in communicating COVID-19, particularly to mothers.

• International Journal of Korean Welding Society
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• 제1권2호
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• pp.12-17
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• 2001

With the advance of the robotic welding process, procedure optimization that selects the welding procedure and predicts bead width that will be deposited is increased. A major concern involving procedure optimization should define a welding procedure that can be shown to be the best with respect to some standard and chosen combination of process parameters, which give an acceptable balance between production rate and the scope of defects for a given situation. This paper presents a new algorithm to establish a mathematical model f3r predicting bead width through a neural network and multiple regression methods, to understand relationships between process parameters and bead width, and to predict process parameters on bead width for GMA welding process. Using a series of robotic arc welding, additional multi-pass butt welds were carried out in order to verify the performance of the neural network estimator and multiple regression methods as well as to select the most suitable model. The results show that not only the proposed models can predict the bead width with reasonable accuracy and guarantee the uniform weld quality, but also a neural network model could be better than the empirical models.

• The Journal of Asian Finance, Economics and Business
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• 제8권9호
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• pp.45-52
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• 2021

Stock price fluctuations affect investor returns, particularly, in this pandemic situation that has triggered stock market shocks. As a result of this situation, investors prefer to move their money into a safer portfolio. Therefore, in this study, we approach an efficient portfolio model using smart beta and combining others to obtain a fast method to predict investment stock returns. Smart beta is a method to selects stocks that will enter a portfolio quickly and concisely by considering the level of return and risk that has been set according to the ability of investors. A smart beta portfolio is efficient because it tracks with an underlying index and is optimized using the same techniques that active portfolio managers utilize. Using the logistic regression method and the data of 100 low volatility stocks listed on the Indonesia stock exchange from 2009-2019, an efficient portfolio model was made. It can be concluded that an efficient portfolio is formed by a group of stocks that are aggressive and actively traded to produce optimal returns at a certain level of risk in the long-term period. And also, the portfolio selection model generated using the smart beta, beta, alpha, and stock variants is a simple and fast model in predicting the rate of return with an adjusted risk level so that investors can anticipate risks and minimize errors in stock selection.

• 로봇학회논문지
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• 제18권4호
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• pp.436-443
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• 2023

With the advancement of robot intelligence, the concept of man and unmanned teaming (MUM-T) has garnered considerable attention in military research. In this paper, we present a transformer-based architecture for predicting the health status of agents, with the help of multi-head attention mechanism to effectively capture the dynamic interaction between friendly and enemy forces. To this end, we first introduce a framework for generating a dataset of battlefield situations. These situations are simulated on a virtual simulator, allowing for a wide range of scenarios without any restrictions on the number of agents, their missions, or their actions. Then, we define the crucial elements for identifying the battlefield, with a specific emphasis on agents' status. The battlefield data is fed into the transformer architecture, with classification headers on top of the transformer encoding layers to categorize health status of agent. We conduct ablation tests to assess the significance of various factors in determining agents' health status in battlefield scenarios. We conduct 3-Fold corss validation and the experimental results demonstrate that our model achieves a prediction accuracy of over 98%. In addition, the performance of our model are compared with that of other models such as convolutional neural network (CNN) and multi layer perceptron (MLP), and the results establish the superiority of our model.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• 제5권1호
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• pp.21-27
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• 2024

Harmful pet insects, if not controlled, can negatively affect people, plants and their surrounding environment. In Vietnam, all crops are regularly impacted by pest insects. In serious cases, crops can be totally destroyed by insect pests. Harmful insects that damage crops often grow fast and increase rapidly. Therefore, research on insects is crucial for managing pests, protecting crops, and forecasting pest situation in the following years. This study aimed to collect data regarding changes of pests on rice and corn as two main crops in four provinces in Red River Delta of Vietnam, including Thai Binh, Nam Dinh, Ha Nam, and Hung Yen, from 2018 to 2022. Primary data were collected from reports of government agencies and official statistics. Based on these data, this study evaluated changes of pest insects in five years, discussed reasons for such changes and response methods, and forecasted pest's behavior in the following years. Significant findings of this study include the fact that Vietnam has to face many difficulties to develop its agricultural sector. For insect management, an essential action is to do ground surveys to gather all related data including weather data, pesticide data, crop yield, and product quality. This information is meaningful for finding out causes of changes, understanding relationships between insects and surrounding factors, and predicting the situation in the following years.

• 수산해양기술연구
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• 제57권3호
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• pp.228-235
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• 2021

Marine accidents caused by ships are very diverse, such as collision, sinking, stranding, grounding and fire. In particular, persons on passenger ship are unspecified and not trained, so it makes evacuation harder. For this reason, an evacuation plan that considers diverse situation in ship is needed. Effective evacuation planning requires training in consideration of various evacuation situations. In this paper, we investigated the time elapsed on evacuation in various situations from "HANMIR," the fishery training ship of the Korean Institute of Maritime and Fisheries Technology, using a Ship Evacuation Analysis Program (SEA-Pro) which is introduced to the society. We assumed a situation that has not only inconveniences for real training but also the possibilities of happening. Not all trainees are resting in their cabin, so we assumed positions such as they are in the bridge or engine room and applied fire and flooding situations. We assumed that the time for alerting the situation would be short, so we applied only elapsed time of movement. Those analyses could be helpful in three ways. The first is predicting the consequence of possible accidents. There are some conditions that can be appliable to this model, such as the decreased area of sight in those situations. The second is concluding the optimal limit of carriage and placement of safety instruments on building a new ship. The third is to be a base data for ships to make a new effective evacuation plan based on these analyses.

• International Journal of Concrete Structures and Materials
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• 제18권1E호
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• pp.43-48
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• 2006

This paper presents an elastic modulus equation more appropriate for predicting the elastic modulus of structural materials designed for and made of high- and ultra high-strength concrete under current domestic situation in Korea. In order to validate and assess the proposed elastic modulus equation, more than 400 laboratory test data available in the domestic literature on compressive strength of concrete in the range between 400 to 1,000 $kgf/cm^2$ were used and analyzed statistically. Comparison analyses of the proposed elastic modulus equation with previously suggested equations of ACI363R, CEB-FIP, NS3473 and New-RC are also presented to demonstrate its applicability in domestic practice.