• Journal of the Korean Home Economics Association
• /
• v.29 no.3
• /
• pp.113-130
• /
• 1991

The objectives of study were 1) to investigate the motives for moving to the current residence, 2) to analyze residential satisfaction after moving in relation to household characteristics and the motives for moving, and 3) to test relationships among household characteristics, residential satisfaction before moving, motives for moving, and residential satisfaction after moving. Residential satisfaction was evaluated in relation to housing, neighborhood, and socio-psychological environments. Methdo-logy included literature and questionnaire survey. Questionnaires were administered to 269 homemakers living in an apartment complex in seoul. Data were analyzed with the use of SPSSS PC+ computer package. The motives for moving were classified in five types: tenureship improvement, improvement of the physical condition of housing, improvement of neighborhood environment, commuting improvement, and constraints. There were significant differences in the types of motives for moving by socio-economic status, types of houses lived in previously, change in type of tenures, and the duration of residence before moving. There were significant differences in residential satisfaction after moving among types of houses lived in previously, change in type of tenures, and the types of the motives for moving. There were significant relationships among residential satisfaction variables. They were the socio-economic status, change in type of tenures, residential satisfaction before moving.

• Journal of Korea Multimedia Society
• /
• v.15 no.5
• /
• pp.632-638
• /
• 2012

A smartphone is one of the best candidate devices on which context based services can be provided because a smartphone has considerably powerful computing ability and large memory capacity and it is a personal belonging. One of the most important factors of context is the moving status of the smartphone. For example, if the smartphone is not moving and the user is in an exhibition room then we can conclude that the user is watching an exhibit. This paper proposes an algorithm of determining the moving status of a smartphone for the first time. Our test results showed that the proposed algorithm is 100% correct.

• Journal of KIISE:Computing Practices and Letters
• /
• v.8 no.6
• /
• pp.765-777
• /
• 2002

For the battlefield analysis, it is required to get correct information about the identification and moving status of target enemy units. However, it is difficult for us to collect all of the information perfectly, because of the technology of communications, jamming, and tactics. Therefore, we need a reasoning function that predicts and analyzes future moving status for target units by using collected moving information and domain knowledge. Especially. since the moving units have characteristics of moving objects, which change their position and shape over time, they require functions to manage and predict locations of moving objects. Therefore, in this paper, we propose a location prediction system of moving units for battlefield analysis. The proposed system not only predicts unknown units, unidentified units, and main strike directions to application domain for battlefield analysis, but also estimates the past or future locations of moving objects not stored in a database.

• Journal of Korea Society of Industrial Information Systems
• /
• v.18 no.6
• /
• pp.51-59
• /
• 2013

The smart device is a personal device and has the ability to use built-in sensors. Therefore, it is possible to provide individually customized services through recognizing the user's context from the sensor information. For these customized services, the user's moving status is the important information that can be utilized in many areas. Because the existing researches on determining the user's moving status assume that the user has a smart device in his/her pocket or bag, if the user is using his/her smart device it is not suitable for exactly distinguishing the user's moving status. In order to solve this problem, this paper proposes an algorithm to determine the user's using and moving status. Our proposed algorithm utilizes smart device's events to distinguish the smart device usage and the accelerometer sensor data to determine the user's movement. As an analyzing result through the real experiment, the accuracy of our algorithm is about 75 percent on average.

• Journal of the Korean Data and Information Science Society
• /
• v.15 no.3
• /
• pp.663-675
• /
• 2004

A battlefield simulation is the evaluation and analysis of the battlefield area, based on the data for terrain, climate, unit's maneuver and tactics basically required in battlefield simulation. Because it is difficult for the military authorities to collect all of the information perfectly for the reason of communication technology, jamming, and tactics, the military authorities need the future moving status for the target units by using acquired moving information. Therefore, we propose a moving object management system that concurrently provides domain reasoning function for the battlefield simulation. In order to implement the proposed system, we show the data modeling of the moving object for the battlefield simulation, and propose an inference engine using domain rule base and spatiotemporal operation. Also, we analyze the query response rate by inference function to verify domain reasoning of the implemented system.

• 한국정보디스플레이학회:학술대회논문집
• /
• 2008.10a
• /
• pp.1127-1130
• /
• 2008

Integral imaging is a three-dimensional display technique which has 100 years of history. The method is characterized by offering full parallax, almost-continuous viewpoints and easiness of moving picture display. In this paper, the history of the method is briefly explained and overview of its current status is provided.

• Journal of the Korean housing association
• /
• v.25 no.5
• /
• pp.73-82
• /
• 2014

The purpose of this study is to identify U.S. Baby Boomers' intention to move and their reasons for moving after retirement, and to examine the associations between their socio-demographic characteristics and housing characteristics, and their reasons for moving after retirement factors. A total of 403 usable data were collected through an online survey using a self-administrated questionnaire. For data analyses, descriptive statistics, factor analysis, t-test, and ANOVA were used. Almost 30% of the total respondents considered moving and 15% were strongly agreed to move after their retirement. The most frequently mentioned reasons for moving after retirement were 'a place with good weather', 'being close to leisure activities', and 'a change or decline of my current neighborhood'. Four factors of reasons for moving after retirement (quality of residential environment, need assistant, proximity to activities, and proximity to family/friends) were identified. Age, marital status, number of household, housing type, homeownership, length of residence, and number of bedroom were significantly associated with the four factors of reasons for moving. The results of this study provide a better understanding to U.S. Baby Boomers' housing behavior after retirement which is 10 years faster than Korea, and suggest insights of housing plan for Korean older adults.

• Korean Institute of Interior Design Journal
• /
• v.24 no.4
• /
• pp.99-110
• /
• 2015

The purpose of this study is to identify pre-elderly's housing mobility related characteristics (reasons for moving, change of personal life after move, housing attachment, and plan to future move) and to examine the associations between their socio-demographic characteristics and housing characteristics, and their housing mobility related characteristics. A total of 200 usable data were collected through personal survey using a questionnaire developed by the researcher. Samples were selected in Seoul and new towns in the capital area and a survey conducted from February, 2014 to December, 2014. For the analyses, descriptive statistics, factor analysis, t-test and ANOVA were used. The most frequently mentioned reasons for moving were 'a good place for nature and retirement life'. Age, education level, liiving expenses, locaion, tenure status, and housing size were the variables to show significant difference to reasons for moving. Respondents experienced positive personal life changes after moving, especially, 'physical health' and outgoing activity'. Respondents who moved to a new town was more positively changed. Personal life changes was the most important variable associated with 3 factors of housing attachment. Location, tenure status, housing size were the major variables to show differences to housing attaachment. Also, personal life changes after moving and housing attachment were the important variables affecting a plan to future move. In other words, the respondents who do not plan to future move showed higher positive life change and strong housing attachment.

• The Journal of Information Systems
• /
• v.25 no.2
• /
• pp.153-171
• /
• 2016

Purpose This study suggests the development of forecasting model for local cable TV advertisement. In order to verify the expected effect of the suggestion, using the causal loop map of System Dynamics, the factors affecting the prospects of cable TV commercial market were divided into 5 groups. Then targeting 97 people involved in the cable TV commercial market in Busan, Ulsan, and Gyeongnam, a survey was conducted on their perception of the current status of local advertisement market and future prospect. Design/methodology/approach The analysis of the collected data shows that workers in advertising and advertisers perceive the influence of cable TV as an advertising media to be high, while clearly understanding the problems of cable TV commercial market. Based on this the effects on the prospects of cable TV commercial market were analyzed and a forecasting method called Weighted Moving Average was applied. In order to improve accuracy of the added value of Weighted Moving Average, the 5 factors were divided into qualitative factors and quantitative factors, and using Multi-attribute Decision Making method, all the factors were normalized and weighting factors were deduced. The result of simulating the prospects of cable TV commercial market using Weighted Moving Average, both qualitative and quantitative factors showed downward turn in the market prospect for the following 10 years. Findings The result reflects generally negative perception of advertisement viewers about the prospects of cable TV commercial market. Compared to the previous studies on domestic cable TV commercials that focused on policy suggestions and surveys on perception of current status, this study has its significance in that it used scientific method and simulation for verification.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2017.05a
• /
• pp.233-235
• /
• 2017

Forklift tend to work in place rather than moving due to work environment conditions, so they express only the engine operation time without expressing the moving distance unlike a general car's instrument panel. Therefore, various consumables constituting the forklift have a replacement cycle according to the operation time of the engine. However, it is very difficult to judge the exact replacement cycle only by the engine operation time because the working environment differs for each forklift. In this paper, we propose a system that provides position information and moving distance information of forklift to driver using GPS and IMU sensor. By using this system, it is expected that the forklift status information, which is difficult to judge by the existing instrument panel, is provided as easier information, and economic benefits for forklift management and maintenance are expected.