• 한국게임학회 논문지
• /
• 제9권1호
• /
• pp.105-114
• /
• 2009

바둑에 있어 사활문제는 컴퓨터 바둑을 구현하기 위해 반드시 극복해야 하는 기본적인 문제이다. 사활문제와 같은 국부적인 바둑 문제를 해결하기 위하여 고려해야 될 중요한 사항은 게임 트리의 엄청난 분기수와 그 깊이를 어떻게 처리하느냐이다. 본 논문에서 수행된 실험의 기본 착상은 둘러싸인 돌들을 죽이기 위해 인식된 첫 수들을 찾아내는 인간의 습성을 모방한 것이다. 바둑에 있어, 유사한 사활문제(패턴)들은 자주 유사한 해들을 갖는다. 유사한 패턴을 분류 하기 위하여 코호넨 신경망(KNN)을 기반으로 한 군집화를 수행하였으며, 실험 결과는 고무적이며 사활문제를 풀기 위해 신경망으로 통제 학습을 사용하는 패턴 일치와 경쟁할 수 있음을 알아냈다.

• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2019년도 춘계학술대회
• /
• pp.587-590
• /
• 2019

본 논문은 센서 네트워크의 주요 문제점인 센서 노드의 이탈과 네트워크 변화에 따른 네트워크 수명 감소를 개선하기 위한 논문이다. 기존 Scalable Topology Organization(STO) 기반 지그비 트리 토폴로지 컨트롤 알고리즘은 전력 소모에 대한 방안을 고려하지 않아 네트워크의 수명이 비교적 짧았다. 이에 따라 매 라운드가 지날때마다 부모 노드를 새로 선출하고 네트워크 토폴로지를 새로 구성하는 클러스터 헤더 선출 기법을 도입하여 네트워크의 전체적인 수명을 연장하였다. 이에 대한 성능은 OMNet++ 시뮬레이터를 통해 동일한 실험 환경에서 기존의 STO 알고리즘과 제안하는 클러스터 헤더 선출 기법을 도입했을 때의 결과를 도출하였고 그 결과 네트워크 수명을 약 40% 증가시킬 수 있었으며 배터리 잔량 부분에서도 약 10%의 성능이 개선된 것을 확인 할 수 있었다.

• Structural Engineering and Mechanics
• /
• 제49권4호
• /
• pp.509-521
• /
• 2014

In this paper two protocols of Wireless Sensor Networks (WSN) are examined through both a simulation and a case study. The simulation was performed with the optimized network (OPNET) simulator while comparing the performance of the Ad-Hoc on demand Distance Vector (AODV) and the Dynamic Source Routing (DSR) protocols. This is compared and shown with real-world measurement of deflection from eight wireless sensor nodes. The wireless sensor response results were compared with accelerometer sensors for validation purposes. It was found that although the computer simulation suggests the AODV protocol is more accurate, in the case study no distinct difference was found. However, it was shown that AODV is still more beneficial in the field as it has a longer battery life enabling longer surveying times. This is a significant finding as a large factor in determining the use of wireless network sensors as a method of assessing structural response has been their short battery life. Thus if protocols which enhance battery life, such as the AODV protocol, are employed it may be possible in the future to couple wireless networks with solar power extending their monitoring periods.

• Steel and Composite Structures
• /
• 제9권6호
• /
• pp.557-568
• /
• 2009

Fatigue tests for extremely thick plates require a great deal of manufacturing time and are expensive to perform. Therefore, if predictions could be made through simulation models such as an artificial neural network (ANN), manufacturing time and costs could be greatly reduced. In order to verify the effects of fatigue strength depending on the various factors in SM520C-TMC steels, this study constructed an ANN and conducted the learning process using the parameters of calculated stress concentration factor, thickness and input heat energy, etc. The results showed that the ANN could be applied to the prediction of fatigue life.

• Human Ecology Research
• /
• 제62권2호
• /
• pp.217-231
• /
• 2024

The aims of this study were to identify (a) the social network contact frequency of the elderly with children, relatives, and friends; (b) the impact of contact frequency (face-to-face/non-face-to-face) on life satisfaction of the elderly; and (c) the moderating effect of digital capabilities of the elderly on the relationship between social contact frequency and life satisfaction. Data were obtained from the National Survey of Older Koreans 2020. The sample comprised 6,119 adults aged 65+ who were in single or couple households. The principal findings were as follows. First, couple households, higher levels of education, and better health status increased life satisfaction of the elderly. Second, the higher the frequency of face-to-face contact with children and the higher the frequency of non-face-to-face contact with friends, the more positive the effect on life satisfaction of the elderly. Third, the interaction effect of the digital capabilities of the elderly differed according to children, relatives and friends. There was a significant and positive moderating effect on the relationship between life satisfaction and the frequency of face-to-face/non-face-to-face contact with children and the frequency of face-to-face contact with relatives. Conversely, there was a significant negative effect on the relationship between life satisfaction and the frequency of face-to-face/non-face-to-face contact with friends. By examining the impact of non-face-to-face contact on life satisfaction of the elderly in the era of digital transformation, the findings have significance in that they provide basic data to support policies and education programs aimed at improving the digital capabilities of the elderly.

• International Journal of Computer Science & Network Security
• /
• 제22권4호
• /
• pp.229-236
• /
• 2022

This study investigates the impact of flipped classroom strategy in developing students' achievement and acquisition of life skills. The study employed a quasi-experimental design where students were divided into two groups: an experimental (N=22) and a control (N=22). The randomly selected and assigned sample consisted of sixth-year elementary school students studying English as a basic course. The findings revealed statistically significant differences between the two group's means in both achievement and life skills tests in favor of the experimental group. Students of the experimental group who studied using the flipped classroom strategy outperformed the control group who studied in the standard way in achieving the English language and in the life situations test, where the effect size of the use of the strategy was large in both dependent variables. The study is concluded with some recommendations to facilitate the use of flipped classroom strategy for EFL teachers. This can be achieved by training teachers on using the strategy and providing technological resources at schools to implement the strategy efficiently.

• 전력전자학회논문지
• /
• 제27권1호
• /
• pp.48-55
• /
• 2022

This paper proposes a battery remaining useful life (RUL) prediction method using a deep learning-based EMD-CNN-LSTM hybrid method. The proposed method pre-processes capacity data by applying empirical mode decomposition (EMD) and predicts the remaining useful life using CNN-LSTM. CNN-LSTM is a hybrid method that combines convolution neural network (CNN), which analyzes spatial features, and long short term memory (LSTM), which is a deep learning technique that processes time series data analysis. The performance of the proposed remaining useful life prediction method is verified using the battery aging experiment data provided by the NASA Ames Prognostics Center of Excellence and shows higher accuracy than does the conventional method.

• International Journal of Advanced Culture Technology
• /
• 제10권3호
• /
• pp.11-17
• /
• 2022

This study investigates income support, labor opportunities, and social capital by the demographic characteristics of the elderly who participate in the elderly job project, and especially the relationship between social and quality of life. We want to provide empirical data on how the elderly vocational business ultimately affects the lives of the elderly through the intervention of social capital. The intervention effect of social capital is as follows. Satisfaction with the elderly job project has a great impact on the quality of life, trust, network, and social participation. In particular, trust in the quality of life of the elderly had a great influence on the quality of life and was indirectly effective. In addition, the intervention of social participation between social capital was known, and the elderly job project increased social participation to improve the quality of life of the elderly. Therefore, it can be evaluated that the elderly job project has an important positive effect on the quality of life of the elderly, and the social capital formed through the elderly job project plays a role in directly or indirectly improving the quality of life of the elderly.

• International Journal of Computer Science & Network Security
• /
• 제23권7호
• /
• pp.109-118
• /
• 2023

Energy awareness is an essential design flaw in wireless sensor network. Clustering is the most highly regarded energy-efficient technique that offers various benefits such as energy efficiency and network lifetime. Clusters create hierarchical WSNs that introduce the efficient use of limited sensor node resources and thus enhance the life of the network. The goal of this paper is to provide an analysis of the various energy efficient clustering algorithms. Analysis is based on the energy efficiency and network lifetime. This review paper provides an analysis of different energy-efficient clustering algorithms for WSNs.

• International Journal of Advanced Culture Technology
• /
• 제5권2호
• /
• pp.19-25
• /
• 2017

The research is to identify social networks of problems that have an influence on the quality of ageing people's lives by using social network analysis, based on the premise that there are differences in networks of ageing problems in urban and rural areas. From analyzing network of ageing people's problems using NodeXL, vertices in the networks of both urban and rural areas are well-connected. For urban areas, financial poverty is the core problem related to the quality of life. It has direct connections with illness and health, family responsibility, housing, role loss in community, and employment, which have positive or negative interactions with the quality of older people's lives. For rural areas, on the other hand, role loss in community is the major problem. It has direct connections with the elderly abuse, financial poverty, leisure activity, divorce, isolation and loneliness from society, education, and suicide. As a result, the research shows that the problems of ageing people have strong linkages and interactive effects with a structure of network, and the networks are different depending on types of places for living.