방사성폐기물 처분 연구 사업이 법률적인 인허가 뿐만이 아니라 일반 국민의 동의를 얻기 위해서는 처분 사업의 안전성에 대한 신뢰성 획득이 중요하며 이를 위해 투명하게 공개될 수 있는 종합 성능 평가 (TSPA, Total System Performance Assessment)의 수행 이 필요하다. 본 연구에서는 처분 성능 평가의 투명성 증진을 위한 방안의 하나로 처분 종합 성능 평가 전 과정에 대해 품질 보증 원칙을 도입하여 평가 관련 전체 업무에 관한 신뢰성 향상을 꾀하고자 하였다. 이를 위해 처분 종합 성능 평가 수행의 다섯 단계인 (1) 기획, (2) 연구 수행 , (3) 문서화, (4) 내부 검토, (5) 독자적인 외부 검토 과정에 T2R3의 품질 보증 원칙을 적용한 인터넷 기반의 Cyber R&D Platform이 개발되었다. 인터넷을 기반으로 하는 본 시스템의 개발을 통해 안전성 평가 관련 모든 참여자들은 평가 전 과정에서 투명성이 유지된 데이터들에 쉽게 접근하여 이를 이용할 수 있다 Cyber R&D Platform은 안전성 평가를 위한 시나리오 개발 관련 데이터인 FEP 목록과 관련 시나리오 정보, 관련 시나리오 도출 과정 및 평가 체계 등을 체계적으로 구축한 FEAS (FEp to Assessment through Scenario development)프로그램과 안전성 평가에 필요한 입력 데이터들을 분류, 저장해 놓은 PAID (Performance Assessment Input Data) 프로그램, 그리고 이러한 자료들을 품질 보증 원칙과 절차에 의한 승인 과정을 통해 입력, 저장할 수 있는 품질 보증 시스템으로 구성되어 있으며 이를 통합 운영함으로써 도출된 데이터들의 신뢰성을 높이고자 하였다. 향후 연구에서는 Cyber R&D Platform과 평가 software와의 통합 운영으로 웹 기반 시스템에 대한 한 번의 접속만으로 안전성 평가 관련 모든 정보를 확인, 이용할 수 있도록 할 것이다.

본 연구에서는 가상현실사용자들이 모션베이스를 사용함에 따라 가상현실에 대한 평가가 어떻게 달라지는지를 조사하였다. 33명의 피험자를 대상으로 모션베이스 평가설문과 자기보고를 통해 가상현실에서의 현실감, 재미, 멀미감을 조사하고 가상주행 전, 중, 후에 내장근전위, 피부전도도, 말초체온, 말초혈류량, 심박률, 눈 깜박임의 생리신호를 측정, 분석함으로써 모션베이스 유무에 따른 심리ㆍ생리적인 변수들에서의 차이를 알아보았다 모든 피험자는 2주 간격으로 모션베이스 사용조건과 모션베이스를 사용하지 않는 조건에서 두 번 가상현실을 경험하였다. 가상현실에 대한 현실감, 재미항목에서 모두 모션베이스를 사용한 조건이 높은 점수를 나타냈다. 또한 모션베이스를 사용한 조건에서 멀미보고수가 감소하는 경향이 나타났다. Tachyarrythmia의 상대파워 변화량과 PPG 최대진폭의 평균변화량 비교는 모션베이스를 사용한 가상현실 조건이 생리적인 요동을 적게 일으키는 것으로 나타났다 이러한 결과들은 시각제시기와 동기화된 모션베이스를 도입함으로써, 가상현실에 대한 현실감은 높이면서 멀미감은 줄일 수 있다는 가능성을 보여준다.

가상환경시스템은 매우 현실감 있는 정보를 제공할 수 있다는 점에서 산업, 의료, 교육훈련 등에 널리 사용되고 있다. 그러나 아직 많은 가상환경 시스템에서 부정적 요인으로 멀미, 시각피로, 방향감각 상실로 대표되는 cybersickness중세를 수반하고 있어 그 사용과 확산에 제약이 되고 있다. 이러한 cybersickness문제에 대응하기 위해서는 우선 이것을 객관적으로 측정, 평가할 수 있는 방법의 개발이 필요하다. 이러한 방법들 중의 하나로 신체동요의 정도를 평가 지표로 사용할 수 있다. 이번 연구에서는 45 명의 피실험자들을 대상으로 가상현실 운전시뮬레이터를 운전하기 전과 후의 신체동요 정도를 힘판(force platform)을 이용해 측정하였다. 특히 본 실험에 사용된 가상현실 운전시뮬레이터는 피실험자에게 운동판(motion platform)을 이용해 운동감을 제공할 수 있었고, 피실험자의 멀미 현상이 검지되면, 시야각을 1/3로 줄여주는 멀미 완화 피드백(feedback) 시스템이 연결되어 있었다. 그래서 motion의 제공여부와 feedback의 제공 여부도 실험의 독립변수로 추가하였다. 실험 결과, 가상현실 체험 후 유의한 차이는 아니나 피실험자들의 신체동요가 약간 증가하는 것이 관측되었다. motion과 feedback에 대한 분석에서는, 유일하게 motion을 제공하는 것이 제공 안할 때에 비해 좌우 방향의 신체동요가 더 적어지는 것으로 나타났다. 신체동요를cybersickness의 지표로 사용하기 위해서는 추후연구가 더 요청된다.

In the presence of incident waves with different frequencies, there are second order sum and difference frequency wane exciting forces due to the nonlinearty of the incident waves. Although the magnitudes of these nonlinear forces are small, they act at sum and difference frequencies away from those of the incident waves. So, the second order sum and difference frequency wane loads occurring close to the natural frequencies of TLPs often give greater contributions to high and low frequency resonant responses. The components of the second order forces which depend on first order quantities have been evaluated using the three dimensional source distribution method. The numerical results of time domain motion analysis for the nonlinear wave exciting forces in regular waves are compared with the numerical ones of frequency domain analysis. The results of comparison confirmed the validity of the proposed approach.

본 논문에서 취급한 계산모델 및 계산조건하에서 얻어진 주요한 결론은 다음과 같다. (1) 다방향 불규칙파중에서 TLP에 작용하는 파강제력 및 정상표류력의 유의치를 구할 수 있는 프로그램을 개발하였다. (2) 한방향파중에서 파강제력 및 정상표류력이 큰 모-드에 대해서는 다방향파의 영향으로 감소하는 경향을 보이고, 한방향파중에서 작은 모-드에 대해서는 다방향파의 영향이 무시할 수 없을 정도로 나타났다. (3) 다방향파의 상호작용에 의해 실해역을 재현할 수 있으며, 다방향파의 영향으로 최대 파강제력 및 정상표류력의 크기가 감소한다는 결과에 따라 다방향파의 영향을 고려하면 보다 현실적인 결과를 얻을 수 있을 것으로 사료된다.

The purpose of this study was to compare the balance ability at different foot angle with KAT 2000 (Breg, Inc., Vista, CA. 1994). Forty-nine (male 24, female 25) normal subjects participated in this study. All subjects were assessed under two conditions. One was eye-opened condition and the other one was eye-closed one in 3 psi surface condition. All subjects were tested at different foot angle that were toe-in , , toe-out and . The subject attempted to keep the platform as stable as possible with eyes closed and with eyes opened for every 20 seconds. The starting position was that subject crossed their arms across chest and flexed knees slightly. The results of each test were showed by a score on screen, which meant balance index. The se collected data were analyzed by using oneway ANOVA, Scheffe test, and t-test. The results of this study were as follows: 1. When the foot angle were changed, balance index was the lowest in toes-out condition and greatest with toes-in with eyes opened and with eyes closed. There were statistically significant difference with eyes opened and with eyes closed (p<0.05). 2. There was statistically significant difference in balance index according to visual condition and the balance index tested with eyes closed was higher than with eyes closed(p<0.05). 3. There was statistically significant difference in balance index by gender(p<0.05).

The purpose of this study were to evaluate and compare the balance ability at different conditions in normal 20 to 29 years old on unstable platform, KAT 2000(Breg, Inc., Vista, CA. 1994). Static and dynamic BI(balance index) were measured 3psi and 5psi surface conditions. Static tests were done on right and left leg separately, then both legs together with the feet apart 20cm with the eyes opened and closed. Dynamic tests were done on both legs together with apart 20cm with the eyes opened. A dynamic test was performed in which the subject moved platform in a circular manner to chase a moving object on a computer screen. Seventy healthy students(average 21.6 years, male, female) were tested. In this study applied the paired t-test and correlation to determine the statistical significance of result. The results were as follow: 1) The mean static balance index of the Rt leg was on 3psi surface condition with the eyes opened, and that of the Lt leg was . 2) The mean static balance index of the Rt leg was on 5psi surface condition with the eyes opened, and that of the Lt leg was . 3) The mean static and dynamic balance index of both legs were , on 3psi with the eyes opened, and , on 5psi respectively. 4) The mean static balance index of the Rt leg was on 3psi surface condition with the eyes closed, and that of the Lt leg was . 5) The mean static balance index of the Rt leg was on 5psi surface condition with the eyes closed, and that of the Lt leg was . 6) The mean static balance index of both legs was on 3psi surface condition with the eyes closed, and that of the 5psi was . 7) The balance index on 3psi surface condition was significantly higher than that of 5psi (p<0.05, p<0.01). 8) The balance index with the eyes closed was significantly higher than that of the eyes opened (p<0.05). 9) The balance index on the left leg was significantly higher than that of the right leg (p<0.05, p<0.01). 10) There was no correlation between static balance index and dynamic balance index. 11) Therewas no correlation between weight or height and balance index.

Based on the data of Ctrip. com, this study analyzes the satisfaction of China tourists after booking hotels online when they travel to South Korea. Extract the online word-of-mouth data of Ctrip, analyze the comment data based on grounded theory, extract the keywords in the comments and sort them out to form the influencing factors of tourists’ hotel booking, split the comment sentences with python, analyze the keywords in the sentences, conduct emotional analysis with Python, score the emotional analysis of each influencing factor corresponding to each sentence, and finally get the satisfaction score of each factor. According to the score, it is proposed that Korean hotels should use more platforms for China tourists and China tourists to carry out targeted marketing activities, pay attention to language communication in service, and pay attention to the improvement of hotel facilities decoration with the change of tourists in China

The study examines the role of facilitating conditions and user habits in the use of technology in Online Learning Platform (OLP) in Indonesia. The adoption of online learning, persistence, and learning results in online platforms is essential for ensuring that education technology is implemented and gets as much value as possible. People who use technology and systems will embrace new technologies even more. This quantitative study is based on a survey of 254 respondents, who were active users of the technology, and considers the facilitating conditions and user habits variables. Two research hypotheses were tested using the Partial Least Square-Structural Equation Modeling method. Cronbach’s Alpha, path coefficient, AVE, R-square, T-test were applied. The results showed that the factors significantly influence the Online Learning Platform technology behavioral intention. This impact is primarily associated with the availability of the resources required to use OLP technology. The availability of these resources includes supporting infrastructures such as widespread Internet access, easy access to mobile devices, and file sizes that affect access speed. The findings of this study suggest that it is necessary to introduce and increase the availability of resources for using OLP technology, and familiarize people with the technology features.

In a four-wheel independent drive platform, four wheels and motors are connected directly, and the rotation of the motors generates the power of the platform. It uses a skid steering system that steers based on the difference in rotational power between wheel motors. The platform can control the speed of each wheel individually and has excellent mobility on dirt roads. However, the difficulty of the straight-running is caused due to torque distribution variation in each wheel’s motor, and the direction of rotation of the wheel, and moving direction of the platform, and the difference of the platform’s target direction. This paper describes an algorithm to detect the slip generated on each wheel when a four-wheel independent drive platform is traveling in a harsh environment. When the slip is detected, a compensation control algorithm is activated to compensate the torque of the motor mounted on the platform to improve the trajectory tracking performance of the platform. The four-wheel independent drive platform developed for this study verified the algorithm. The wheel slip detection and the compensation control algorithm of the platform are expected to improve the stability of trajectory tracking.

This study aims to examine the influence of attitudes on customers’ intention to participate in online fashion sharing. A framework was proposed to investigate the relationships between consumer motivation, consumer attitude, and purchase intention in the manner of adopting a fashion-sharing platform. Consumer motivations are divided into three categories: utilitarian, hedonic, and ecological. The moderating effects of product replacement cycle (PRC) on consumer attitude and purchase intention are also investigated. Data collection was developed using a web-based survey where 180 consumer respondents from South Korea participated. The results of our analysis indicate that consumers’ hedonic and ecological motivations are positively related to favorable consumer attitudes, even when consumers’ utilitarian motivation is denied. Consumer attitude is also positively related to purchase intention in the fashion-sharing platform. A moderating effect of PRC is recorded between consumer attitude and purchase intention based on high and low PRC, as well as the effect of ecological motivation and consumer attitude on high PRC. This study enhances knowledge of consumer motivational factors in a fashion-sharing platform and provides insights for service providers to help them improve their target marketing.

In this paper, we present a learning platform for robotic grasping in real world, in which actor-critic deep reinforcement learning is employed to directly learn the grasping skill from raw image pixels and rarely observed rewards. This is a challenging task because existing algorithms based on deep reinforcement learning require an extensive number of training data or massive computational cost so that they cannot be affordable in real world settings. To address this problems, the proposed learning platform basically consists of two training phases; a learning phase in simulator and subsequent learning in real world. Here, main processing blocks in the platform are extraction of latent vector based on state representation learning and disentanglement of a raw image, generation of adapted synthetic image using generative adversarial networks, and object detection and arm segmentation for the disentanglement. We demonstrate the effectiveness of this approach in a real environment.