• Smart Structures and Systems
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• 제30권6호
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• pp.649-659
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• 2022

Structural Health Monitoring (SHM) researchers have identified Augmented Reality (AR) as a new technology that can assist inspections. Post-seismic structural inspections are conducted to evaluate the safety level of the damaged structures. Quantification of nearby structural changes over short-term and long-term periods can provide building inspectors with information to improve their safety. This paper proposes a Time Machine Measure (TMM) application based on an Augmented Reality (AR) Head-Mounted-Device (HMD) platform. The primary function of TMM is to restore the saved meshes of a past environment and overlay them onto the real environment so that inspectors can intuitively measure dynamic structural deformation and other environmental movements. The proposed TMM application was verified by demo experiments simulating a real inspection environment.

• 한국경영과학회지
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• 제39권4호
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• pp.33-49
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• 2014

This study empirically examines the impact of firms' environmental (E), social (S), and governancial (G) factors on their short-term and long-term values. To measure firms' non-financial performance, we use ESG performance grades published by KCGS (Korea Corporate Governance Service). We employ stock log return as the proxy of each firm's short-term value, and Tobin's Q ratio as that of its long-term value. From a series of regression analyses, we find each of the ESG factors generally has a negative impact on stock return while it has a positive impact on the Tobin's Q ratio. These results imply that firms' effort for enhancing their non-financial performance may adversely affect their financial performance in a short term; but in the long-term point of view, firms' values increase through their good images engraved by their respective social, environmental and governancial efforts. In addition, we compare the relative strength of impact among E, S, G, the three non-financial factors on the firms' value measured in Tobin's Q ratio, and find that S (social factor) and G (governancial factor) give statistically significant impact on the firms' value respectively. This result tells us it would be advised to strategically embed CSV (creating shared value) pursuing both of profits and social responsibility in the firms' future agenda. While E (environmental factor) is shown to be an insignificant factor for the firms' value, it should be emphasized as a major concern by all the stakeholders in order to form a sound business ecosystem.

• 대한산업공학회지
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• 제23권3호
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• pp.451-467
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• 1997

Tabu search (TS) is a useful strategy that has been successfully applied to a number of complex combinatorial optimization problems. By guiding the search using flexible memory processes and accepting disimproved solutions at some iterations, TS helps alleviate the risk of being trapped at a local optimum. In this article, we propose TS-based heuristics for solving a class of clustering problems, and compare the relative performances of the TS-based heuristic and the simulated annealing (SA) algorithm. Computational experiments show that the TS-based heuristic with a long-term memory offers a higher possibility of finding a better solution, while the TS-based heuristic without a long-term memory performs better than the others in terms of the combined measure of solution quality and computing effort required.

• 한국안전학회지
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• 제32권5호
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• pp.122-128
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• 2017

Korean government announced long-term railway safety investment plan for the safety improvement by 2020. But no research have been done about differential analysis on railroad safety investment and safety improvement. In this study, recent 10 year data on safety investments and accident data are analysed for the differential analysis. Three main safety investments are analysed on regard to accident rate and accident fatalities. Three safety measures include level crossing accident, platform fatalities, and track trespass fatalities. About 90% of railway accident fatalities are caused by these three kind of accidents. Differential analysis shows about 4 to 6 years delay after railroad safety investment and safety improvement. This result can be utilized for the decision making on safety measures and safety target. Which required long term approach.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2005년도 추계학술대회 논문집
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• pp.32-37
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• 2005

Many developed countries use risk based safety management system. Currently many research efforts are made for the application of risk concept in safety management within the boundary of the railway safety act 2005. But results of these efforts can be applied around 2008 due to many background data and analysis techniques. For the prompt and efficient construction of mid and long term safety plan$(2006\~2010)$ various reports on safety issues and expert opinions are analysed in this study without risk analysis. Identification of railway safety issues are summarized and effective measure are proposed in this study.

• International Journal of Advanced Culture Technology
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• 제10권3호
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• pp.33-38
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• 2022

Gyeongsangnam-do needed an employment stability response policy to induce re-employment of job seekers who retired due to large-scale unemployment and job instability following the employment crisis, and stable settlement and long-term employment after new employment.This study is to confirm the effective corporate support policy as an employment promotion strategy through new recruitment of the employment crisis in Gyeongsangnam-do. A total of 380 companies in Gyeongsangnam-do were targeted for the survey through online surveys and in-person surveys. As a result of the study, as a measure to improve working conditions through financial support for long-term employment stability, first, support for youth-middle-age asset formation of SME workers is required, and second, support for old-age income guarantee for SME workers was proposed. Third, direct corporate subsidies are continuously needed for job promotion and job stability of Gyeongsangnam-do companies.

• ETRI Journal
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• 제45권2호
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• pp.329-337
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• 2023

For safe last-mile autonomous robot delivery services in complex environments, rapid and accurate collision prediction and detection is vital. This study proposes a suitable neural network model that relies on multiple navigation sensors. A light detection and ranging technique is used to measure the relative distances to potential collision obstacles along the robot's path of motion, and an accelerometer is used to detect impacts. The proposed method tightly couples relative distance and acceleration time-series data in a complementary fashion to minimize errors. A long short-term memory, fully connected layer, and SoftMax function are integrated to train and classify the rapidly changing collision countermeasure state during robot motion. Simulation results show that the proposed method effectively performs collision prediction and detection for various obstacles.

• 컴퓨터교육학회논문지
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• 제19권3호
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• pp.11-19
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• 2016

한국의 2015 개정 교육과정을 비롯, SW교육이 국제적으로 내용 및 접근성 측면에서 강화되고 있다. SW교육이 보편성에 초점을 맞춤에 따라, 교육에 대한 단기적 영향 및 효과 뿐 아니라 10-20년 후 학생들에게 미칠 장기적 성과 또한 관심을 가져야 한다. 본 연구는 강화된 SW교육이 장기적으로 학생들에게 어떤 영향을 미칠 것인지 예측하기 위해, 현 대학생들을 대상으로 중등교육에서 정보교과 경험의 차이와 대학에서의 전공선택 및 SW관련 교양 과목의 학업성취도의 차이가 관계있는지 알아보았다. 그 결과, 단순한 교과 이수 여부는 전공선택 및 학업성취도와 유의미한 관계가 없었지만, 교과 교육 내용에 따라 유의미한 차이를 보였다. 장기적 영향을 파악하기 위한 종단 연구 데이터가 없는 상태에서 본 연구의 설계 및 결과는 제한점이 있지만, SW교육의 장기적 영향의 필요성을 강조하고, 어떤 영향을 받는지에 대한 실마리를 제공했다는 점에서 의의가 있다.

• 한국음향학회지
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• 제38권4호
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• pp.433-441
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• 2019

본 논문에서는 입 주변에 방사한 초음파 신호가 반사되어 돌아올 때 발생하는 초음파 도플러 신호를 LSTM(Long Short Term Memory) 순환 신경망 (Recurrent Neural Networks, RNN)을 이용해 음성 패러미터를 추정하는 방법을 소개하고 다층 퍼셉트론 (Multi-Layer Perceptrons, MLP) 신경망을 이용한 방법과 성능 비교를 하였다. 본 논문에서는 LSTM 순환 신경망을 이용해 초음파 도플러 신호로부터 음성 신호의 푸리에 변환 계수를 추정하였다. LSTM 순환 신경망을 학습하기 위한 입력 및 기준값으로 초음파 도플러 신호와 음성 신호로부터 각각 추출된 멜 주파수 대역별 에너지 로그값과 푸리에 변환 계수가 사용되었다. 테스트 데이터를 이용한 실험을 통해 LSTM 순환 신경망과 MLP의 성능을 평가, 비교하였고 척도로는 평균 제곱근 오차(Root Mean Squared Error, RMSE)가 사용되었다.각 실험의 RMSE는 각각 0.5810, 0.7380로 나타났다. 약 0.1570 차이로 LSTM 순환 신경망을 이용한 방법의 성능 우세한 것으로 확인되었다.

• 산업융합연구
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• 제20권11호
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• pp.149-155
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• 2022

본 연구는 종합병원과 요양병원 간호사의 환자 안전 문화 인식의 정도를 비교하기 위하여 수행한 서술적 조사연구이다. 연구대상자는 3개 시에 위치한 종합병원 2곳과 요양병원 4곳에서 6개월 이상 근무 중인 일반간호사 150명이었으며, 자료는 2021년 10월부터 12월까지 수집되었다. 환자 안전 문화는 이순교가 개발한 환자 안전 문화 측정 도구를 사용하였다. 자료는 교차분석, 이원배치 분산분석과 t-test를 SPSS 20.0 프로그램을 이용하여 분석하였다. 연구 결과 간호사의 연령(F=44.17, p= .000), 총 임상 경력(F=62.86, p=.000), 현 근무부서 임상 경력(F=26.27, p=.000)이 많을수록 환자 안전 문화 인식이 높았으며, 요양병원 간호사의 환자 안전 문화 인식 하위영역 중 리더십(t=2.07, p=.040)과 환자 안전 우선순위(t=2.18, p=.031) 영역이 종합병원 간호사에 비해 높은 것으로 확인되었다. 연구 결과를 바탕으로 병원 및 요양병원에서 환자 안전 문화 수준을 높이기 위한 프로그램 개발이 활발히 이루어지기를 기대한다.