• 한국실내디자인학회논문집
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• 제22권1호
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• pp.203-210
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• 2013

With digital technology, space design is developing in a new direction with the changing paradigm. The space creates an interactive environment by motivating the User's active participation through the digital madia. In this social stream, it is very important to think about how this new paradigm affects the spatial design and the interactions between social changes and spatial design paradigm, so that we can understand design paradigm of our time. Hence, in this research, we will think about social characteristic and design paradigm of digital age by questioning how spatial design is changing in the digital age and how digital technology is affecting spatial design. this study analyzed about the space form, digital media setting, user interactivity of the examples of experience space using digital media. fields of our society, interactive space with the concept of HCI became a big issue in environmental design field. In this interactive space, various types of informative factors of the given space are sent using sensor and computer networking technology to the main system, and the main computer system sends manipulated output media to interactive devices. So, a user's movement in the space is more than just a movement itself user's movement now forms a important spatial structure that leads the narrative of the space. Researcher will analyze the characteristic of a public space and progress this research supposing that space needs this interactive design.

• Human Ecology Research
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• 제56권4호
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• pp.391-405
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• 2018

There has been an increasing and widespread use of smartphones to make consumer purchases. Given the stark increases in the sales of business transactions using mobile phones, it is obvious that mobile phones have become major mediums for consumer purchases. Through mobile phones, people can make their purchases anytime, anywhere, which leads their impulse of consumption directly to actual actions of consumption. Consequently, mobile commerce has become widely spread and the competition of the market has intensified. The main findings and implications of this study are as follows. First, it is shown that, among the features of mobile commerce, elements of fun, usefulness, convenience, immediateness, and security affect mobile commerce user satisfaction. Second, among mobile commerce-related consumers' propensity, innovative consumption tendency appears to impact mobile commerce user satisfaction and repurchase intention. Third, recognition of elements in regards to fun, usefulness, convenience, immediateness, and security among features of mobile commerce affect consumers' intention to repurchase mobile commerce. Future recognition for mobile commerce has a direct impact on increasing consumers' repurchase intentions. Last, a higher mobile commerce user satisfaction leads to the higher repurchase intentions.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2004년도 추계학술대회 논문집
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• pp.1718-1724
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• 2004

A station is not only the public space where socially diverse classes get together and cultural interchanges occur but also the personal and emotional space where the meeting and parting occur for each individual. Thus, it is necessity to consider this dual point from the beginning of the plan to make the simple, comfortable, intuitive and friendly environment for the users in the station. Also, it should be capable of active life style of moderner according to the change of the city environment. Furthermore, as a station is not just a single-purpose space anymore but the versatile space where fulfills the user's needs for the multi-function and the desire for diversity. As the station in these days opened 24 hours for users with the modern, commercial and cultural facilities, the interior design for a station needs to be designed to be easy to use, functional and able to vitalize the environment. In order to make a desirable interior environment in a station, first of all, it is required to grasp the characteristic of the space by analyzing the phenomena of an individual or a group act in a existing space formed by the interrelation between the human and the environment. To reduce the resistance against the new environment from the user, in other words, to increase the satisfaction, it is necessity to induce the behavior of the users to the desirable way toward to the new environment. Consequently, positive methodology with recognitive approach through cognitive psychology, spatial behavior research is required.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2007년도 하계학술대회 논문집
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• pp.394-396
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• 2007

In this paper proposed to neural network PI self-tuning direct controller using Error back propagation algorithm. Proposed controller applies to speed controller and current controller. Also, this built up the interface environment to drive it simply and exactly in any kind of reference, environment fluent and parameter transaction of PMSM. Neural network PI self-tuning simulator using Visual C++ and Matlab Simulation is organized to construct this environment, Built up interface has it's own purpose that even the user who don't have the accurate knowledge of Neural network can embody operation characteristic rapidly and easily.

• 응용통계연구
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• 제17권1호
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• pp.165-172
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• 2004

최근 다변량자료 분석과 관련하여 이를 시스템으로 구현하려는 연구가 다양한 각도로 이루어지고 있다. 이러한 연구들의 공통적인 특징은 일반 사용자들에게 고급 통계분석기법을 편리하게 활용할 수 있도록 GUI(Graphical User Interface) 환경의 시스템을 제공해 준 것이다. 이러한 연구들의 연장선상에서, 본 연구에서는 사회 각 분야에서 가장 널리 활용되고 있는 사무용 프로그램 인 Excel을 활용하여 시스템을 개발함으로써, 일반 사용자들도 대화식으로 다변량자료 분석을 쉽게 수행할 수 있도록 하였다.

• 대한기계학회논문집B
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• 제31권10호
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• pp.840-847
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• 2007

This Paper focuses on modeling and simulation to analyze the characteristic of hybrid vehicle. The system includes a proton exchange membrane fuel cell(PEMFC), photovoltaic generator(PV), lead-acid battery, motor, vehicle and controller. Main electricity is produced by the PEMFC and battery to meet the requirements of a user load. When vehicle is parked in a sunny place, extra power is generated by the photovotaics and is charged in a battery for next drive. Further we evaluate usefulness of this hybrid vehicle by using ADVISOR - the advanced vehicle simulator written in the Matlab/Simulink environment. According to simulation results, the extra power obtained by photovoltaics which have been explored in nature conditions can help to reduce the electrical load of PEMFC and increase the efficiency (over 21 %).

• 한국정보통신학회논문지
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• 제5권2호
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• pp.263-268
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• 2001

본 논문은 근거리에서의 차량간 통신에 밀리미터나 광전파를 분석하는데 효과적인 Ray Tracing방법을 도입하여 오율특성을 분석하였다. 분석환경으로는 간섭신호에 강한 장점을 지니며 산소흡수에 의한 감쇠가 크며 주파수 재사용효율이 좋은 60㎓ 대역에서의 비트오율을 분석하였다. 전파모델로 지면반사파, 콘크리트벽에 의한 반사와 옆 도로를 달리는 차량에 의한 반사를 고려한 Two-Ray 라이시안 채널에서의 다중접속자에 의한 DS/CDMA 시스템의 비트오율특성을 분석하여 검토하였다. 성능 개선 기법으로는 MRC 다이버시티를 채용하였다.

• 지식경영연구
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• 제10권2호
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• pp.85-103
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• 2009

Web 2.0, characterized as openness, sharing, and participation, has enabled Internet users to easily generate a variety of contents, and to share them through Web 2.0 services. Knowledge search service (KSS) is positioning itself as one of typical Web 2.0 services. Yet, few studies have sharpened our understanding of users' knowledge sharing behavior in the KSS environment. In order to address this knowledge void, this paper attempts to explore antecedents of their usage behavior in the KSS environment. Typically, they utilize stored knowledge and share their knowledge simultaneously. Considering this characteristic, our study regards service usage intention and knowledge sharing intention as final dependent variables. This study advances a research model based on Bhattacherjee's expectation-confirmation model, which is expanded by incorporating trust belief. Because of the openness of KSS, trust belief is believed to play a critical role in forming users' service usage intention and knowledge sharing intention. Furthermore, this study examines the difference of the antecedents' effects in terms of users' gender. We collected data from 275 respondents who have experience in using KSS. PLS (partial least squares) was employed for the analysis of the data. Analysis results confirm the important role of user satisfaction and trust belief in the formation of users' service usage intention and knowledge sharing intention. More importantly, trust belief has a more salient effect on knowledge service usage intention than user satisfaction. This study also shows the moderating role of users' gender. Finally, this paper provides managerial guidance on strategic planning aimed at improving users' service usage intention and knowledge sharing intention in the KSS environment.

• 한국실내디자인학회논문집
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• 제26권2호
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• pp.72-82
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• 2017

Current world population is rapidly ageing and the disabled population is expected to age seriously as well. The concern about the elderly and the disabled is increased largely not just the field of social welfare and service but the housing planning where the physical environment of everyday life is. Recently in Ireland, 'Universal Design Guideline for Homes' is established and proposed in public. It is considered as initial and special national policy for the socially venerable. The purpose of this research is to analyze the User Benefit Characteristics(UBC) of 'Universal Design Guideline for Homes in Ireland' and clearly organize the characteristics for comprehensive communication. The research subjects are 444 guidelines of 'Universal Design Guideline for Homes in Ireland.' The research is conducted by contents analysis technique, and each guideline is analyzed by the 4 main concepts of UBC- 'Behavioral Facilitation(BF)', 'Physiological Maintenance(PhM)', 'Perceptual Maintenance(PM)', 'Social Facilitation(SF).' As results, the User Benefit Characteristic of 'Universal Design Guideline for Homes in Ireland' is ordered by PhM>PM>BF>SF. The design guidelines are supposed to support ageing in place and sustainable living in the existing houses even though people are ageing or being disabled. 'Universal Design Guideline for Homes in Ireland' supports safe behavior and comfort cognition especially in indoor and surrounding outdoor environment. This research is significant for sharing the knowledge and comprehension of decreasing environmental stress of the elderly in specific, and could be utilized for developing new elderly housing in future.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.374-388
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• 2022

Cloud computing has been one of the most critical technology in the last few decades. It has been invented for several purposes as an example meeting the user requirements and is to satisfy the needs of the user in simple ways. Since cloud computing has been invented, it had followed the traditional approaches in elasticity, which is the key characteristic of cloud computing. Elasticity is that feature in cloud computing which is seeking to meet the needs of the user's with no interruption at run time. There are traditional approaches to do elasticity which have been conducted for several years and have been done with different modelling of mathematical. Even though mathematical modellings have done a forward step in meeting the user's needs, there is still a lack in the optimisation of elasticity. To optimise the elasticity in the cloud, it could be better to benefit of Machine Learning algorithms to predict upcoming workloads and assign them to the scheduling algorithm which would achieve an excellent provision of the cloud services and would improve the Quality of Service (QoS) and save power consumption. Therefore, this paper aims to investigate the use of machine learning techniques in order to predict the workload of Physical Hosts (PH) on the cloud and their energy consumption. The environment of the cloud will be the school of computing cloud testbed (SoC) which will host the experiments. The experiments will take on real applications with different behaviours, by changing workloads over time. The results of the experiments demonstrate that our machine learning techniques used in scheduling algorithm is able to predict the workload of physical hosts (CPU utilisation) and that would contribute to reducing power consumption by scheduling the upcoming virtual machines to the lowest CPU utilisation in the environment of physical hosts. Additionally, there are a number of tools, which are used and explored in this paper, such as the WEKA tool to train the real data to explore Machine learning algorithms and the Zabbix tool to monitor the power consumption before and after scheduling the virtual machines to physical hosts. Moreover, the methodology of the paper is the agile approach that helps us in achieving our solution and managing our paper effectively.