• Journal of electromagnetic engineering and science
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• v.14 no.4
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• pp.336-341
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• 2014

Dosimetry of radiating electromagnetic wave from mobile devices to human body has been evaluated by measuring Specific Absorption Rate (SAR). Usual SAR measurement system scans the volume by robot arm to evaluate RF power absorption to human body from wireless devices. It is possible to fast estimate the volume SAR by software deleting robot moving time with the 2D surface SAR data acquired by arrayed probes. This paper shows the principle of fast SAR measurement and the measured data comparison between the fast SAR system and the robot scanning system. Data of the fast SAR is well corresponding with data of robot scanning SAR within ${\pm}3$ dB, and its dynamic range covers from 10 mW/kg to 30 W/kg with 4.8 mm probe diameter.

• Journal of Information Processing Systems
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• v.4 no.1
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• pp.9-16
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• 2008

This paper describes the design and implementation of a two-tier DBMS for handling massive data and providing faster response time. In the present day, the main requirements of DBMS are figured out using two aspects. The first is handling large amounts of data. And the second is providing fast response time. But in fact, Traditional DBMS cannot fulfill both the requirements. The disk-oriented DBMS can handle massive data but the response time is relatively slower than the memory-resident DBMS. On the other hand, the memory-resident DBMS can provide fast response time but they have original restrictions of database size. In this paper, to meet the requirements of handling large volumes of data and providing fast response time, a two-tier DBMS is proposed. The cold-data which does not require fast response times are managed by disk storage manager, and the hot-data which require fast response time among the large volumes of data are handled by memory storage manager as snapshots. As a result, the proposed system performs significantly better than disk-oriented DBMS with an added advantage to manage massive data at the same time.

• Journal of the Korean Society of Food Culture
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• v.34 no.4
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• pp.424-431
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• 2019

The purpose of this study is to analyze and evaluate the key success factors for the fast food industry in the region of Lahore Pakistan. Fast food concept developed very speedily in the last few years in Lahore region. The success or failure of a fast food industry based on some factors like Physical environment, Brand-name, Food quality, Price, Taste, Promotional activity, Habitual consumption, Health threats, Consumer expectation, and Family meal. To identify which of these factors has a greater influence on consumer satisfaction, four fast food restaurants such as McDonald's, PIZZA HUT, KFC, and subway were targeted randomly. The proposed research is quantitative in nature and for data collection; a random sampling technique was used. A questionnaire survey answered by 273 people was considered in this research. Data have been analyzed through statistical techniques. It is observed that Brand name, Food quality, Physical environment, Health threats, Price, Family meals, Habitual consumption, and Consumer expectation showed significant impacts on Fast food industry compared to other factors evaluated herein.

• The Research Journal of the Costume Culture
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• v.21 no.6
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• pp.827-843
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• 2013

The purpose of this study is to identify the antecedents of the attitudes toward purchasing fast fashion brands and the frequency of purchasing fast fashion brands. As antecedents, a few brand-related variables and a consumer-related variable were considered. Perceived perishability, perceived scarcity, perceived quality, and perceived low price were included as brand-related variables and congruity between self image and fast fashion brand image was included as a consumer-related variable. It was hypothesized that both brand-related and consumer-related variables directly influence the attitudes toward purchasing fast fashion brands and then influence the frequency of purchasing fast fashion brands. Data were gathered by surveying university students in Seoul, using convenience sampling. Two hundred twenty seven questionnaires were used in the statistical analysis, exploratory factor analysis using SPSS and confirmatory factor analysis and path analysis using AMOS. The results showed that all the fit indices for the variable measures were quite acceptable. In addition, the overall fits of the model suggest that the model fits the data well. The hypothesized relationship test proved that perceived perishability, perceived quality, and congruity between self image and fast fashion brand image influence the attitudes toward purchasing fast fashion brands and then influence the frequency of purchasing fast fashion brands. The results suggest some effective marketing strategies for marketers in the fast fashion industry.

• Journal of the Korean Home Economics Association
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• v.38 no.2
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• pp.27-40
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• 2000

The purpose of this study was to determine the consumption patterns of fast food chain stores according to their parents'social demographic factors in using fast food chain stores. The data of this research were composed of 599 college students in Taegu$.$Kyungbuk region. Obtained data were analyzed by X$^2$-test, t-test, oneway ANOVA and Duncan's multiple range test with SPSS PC+ program. The findings of this study are as follows; First, mother's academic background and father's occupations, family income level of the respondents were statistically significant in using fast food chain stores. Secondly, 19% of the respondents answered that they 'hardly'used fast food chain stoles, 65.4% of them 'sometimes', and 16% of them 'frequently'. Most of the respondents answered that they visit 'with their friends'. They prefer fast food because the flood is convenient to eat and the services are fast. The frequency of eating out was increased and their taste was apt to westernize.

• The Research Journal of the Costume Culture
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• v.23 no.3
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• pp.468-483
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• 2015

Fast fashion brand marketers should develop marketing strategies that effectively satisfy the values consumers seek when purchasing fast fashion brands. This study aimed to identify the consumption value factors of fast fashion brands and to reveal the value factors that influence attitudes toward purchasing fast fashion brands. Data were gathered by surveying university students in the Seoul metropolitan area using convenience sampling. Three hundred and five questionnaires were used in the statistical analysis, which consisted of exploratory factor analysis using SPSS and confirmatory factor analysis and path analysis using AMOS. The factor analysis revealed the following six value factors: Emotional value, social value, price/value for money, durability value, eco-value, and consistency value. The fit statistic for the six-factor model was quite acceptable. Two of the six value factors, emotional value and price/value for money, positively influenced attitudes toward purchasing fast fashion brands. The overall fits of the revealed model suggested that the model fit the data well. The results suggested that fast fashion marketers need to understand the value factors that motivate consumers to purchase fast fashion brands. In addition, marketers should focus their efforts on satisfying emotional value and price/value for money in order to establish their brands in the increasingly competitive fast fashion industry.

• Asia-Pacific Journal of Business
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• v.10 no.4
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• pp.181-195
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• 2019

This study aims to investigate the influencing attributes on price fairness in the domain of fast food service context. As the research subject, this research selects McDonald's business because of its market share in the fast food market. Five attributes are examined to account for price fairness. The attributes are advertising attitude, employee service, waiting, convenience, and brand love. This study performed survey to collect the data. The survey participants are university students because they are essential market segment for fast food business. The number of observation is 299 for the data analysis. To analyze the data, this research used various statistical instruments (e.g., frequency analysis, mean and standard computation, exploratory factor analysis, reliability test, correlation matrix, and multiple regression analysis). Regarding the results, this research identified advertising attitude, employee service, and brand love are influential attributes to establish price fairness of university students. This research could inform the marketing director of food service business to understand university students target better.

• The Transactions of the Korea Information Processing Society
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• v.4 no.10
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• pp.2421-2433
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• 1997

In this paper, based on the relative logical storage cost of each movie by the difference of service request probability, we propose and implement the SDU(Separate Data Use) method and the EDU(Existing Data Use) method to provide FF(Fast Forward) and FR(Fast Reverse) function in efficiently through analysing MPEG bit stream and frame characteristics. By selecting and applying the FF/FR function providing method based on the service request probability of movie, the proposed method can reduce the cost of FF/FR functions for total serviced movies.

• Economic and Environmental Geology
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• v.41 no.2
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• pp.219-223
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• 2008

Many cross-over errors due to position errors, meter errors, observation errors, sea conditions and so on occur when marine geophysical data collected by own and other agencies are merged, and these errors can create artificial anomalies which cause an improper interpretation. Many methods have been introduced to reduce cross-over errors. However, most methods are designed to compare each point or segment data to find cross-over points, and require a long processing time. Therefore, FORTRAN program (FastXcorr) is presented to fast determine cross-over points using an overlap-sector, and to adjust cross-over errors using a weighted linear interpolation algorithm.

• The Journal of Korea Robotics Society
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• v.4 no.4
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• pp.305-311
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• 2009

FastSLAM is a factored solution to SLAM problem using a Rao-Blackwellized particle filter. In this paper, we propose a practical FastSLAM implementation method using an infrared camera for indoor environments. The infrared camera is equipped on a Pioneer3 robot and looks upward direction to the ceiling which has infrared tags with the same height. The infrared tags are detected with theinfrared camera as measurements, and the Nearest Neighbor method is used to solve the unknown data association problem. The global map is successfully built and the robot pose is predicted in real time by the FastSLAM2.0 algorithm. The experiment result shows the accuracy and robustness of the proposed method in practical indoor environment.