• Title, Summary, Keyword: preference mapping

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Development of a Driver-Oriented Engine Control Unit (ECU)-Mapping System With BigData Analysis (빅데이터 분석을 통한 운전자 맞춤형 엔진 제어 장치 시스템의 개발)

  • Kim, Shik;Kim, Junghwan
    • IEMEK Journal of Embedded Systems and Applications
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    • v.12 no.4
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    • pp.247-258
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    • 2017
  • Since 2016 when the regulations related to vehicle structure and device modification were drastically revised, the car tuning market has been growing rapidly. Particularly, many drivers are showing interest in changing the interior and exterior according to their preference, or improving the specifications of their cars by changing the engine and powertrain, among others. Also, as the initial engine settings such as horse power and torque of the vehicle are made for stable driving of the vehicle, it is possible to change the engine performance, via Engine Control Unit (ECU) mapping, to the driver's preference. However, traditionally, ECU mapping could be only performed by professional car engineers and the settings were also decided by them. Therefore, this study proposed a system that collects data related to the driver's driving habits for a certain period and sends them to a cloud server in order to analyze them and recommend ECU mapping values. The traditional mapping method only aimed to improve the car's performance and, therefore, if the changes were not compatible with the driver's driving habits, could cause problems such as incomplete combustion or low fuel efficiency. However, the proposed system allows drivers to set legally permitted ECU mapping based on analysis of their driving habits, and, therefore, different drivers can set it differently according to the vehicle specifications and driving habits. As a result, the system can optimize the car performance by improving output, fuel efficiency, etc. within the range that is legally permitted.

Concept Mapping Analysis of Customers' Cafe Experience (Concept Mapping을 이용한 커피전문점 고객의 경험 인식 분석)

  • Shin, Seo-Young;Cha, Sung-Mi;Chung, Ji-Yoon
    • The Korean Journal of Food And Nutrition
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    • v.23 no.1
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    • pp.94-101
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    • 2010
  • Concept mapping was used to understand the structure of customer's cafe experience. In January and February, 2009, interviews were conducted with 26 subjects residing in the Seoul-Gyeonggi area. One hundred-two statements describing cafe experience were extracted from the interview transcripts, and were sorted and rated for their importance. Concept mapping software was used to generate a concept map denoting seven dimensions of cafe experience('comfort', 'place of my own', 'pleasant atmosphere', 'personal coffee preference', 'service', 'uniqueness', and 'value'). The results provided meaningful dimensions of cafe customers' experience, which ought to be considered when planning a cafe.

The Effects of Instructions Using Analogies in Learning the Concept of Saturated Solution by Analogy Presentation Types and Verbal Learning Styles (포화 용액 개념 학습에서 비유 표현 방식과 언어적 학습 양식에 따른 비유 사용 수업의 효과)

  • Kang, Hun-Sik;Seo, Ji-Hye
    • Journal of The Korean Association For Science Education
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    • v.32 no.2
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    • pp.402-414
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    • 2012
  • This study investigated the effects of the instructions using analogies in learning the concept of saturated solution by the analogy presentation types and the verbal learning styles upon the mapping understanding, the mapping errors, and the perceptions of the instruction. Fifth graders (N=123) at an elementary school were selected and assigned to VA (n=63) and VPA (n=60) groups. As a pretest, a test on the verbal learning style was administered. The students in the VA group learned the target concept with a verbal analogy, while those in the VPA group learned it with a verbal/pictorial analogy. After the students learned it, a mapping understanding test was administered. The students in the VPA group also administered the test on the perceptions of the instruction and some of them were interviewed in depth. The results revealed that the scores of the students with strong verbal learning preference in the VPA group were significantly lower than those in the VA group in the mapping understanding test. However, the scores of the students with weak verbal learning preference were not significantly different between the two groups. Five types of mapping errors were identified: failure to map, mismapping, rash mapping, impossible mapping, and mapping of a surficial feature. According to students' verbal learning styles, there were some differences in the frequencies of mapping errors in the two groups. Many students in the VPA group, regardless of their verbal learning styles, had positive perceptions of the instruction in various cognitive and motivational aspects. However, some of them also pointed out a few difficulties of the instruction. Educational implications of these findings are discussed.

Study on Color Coordination Simulator based on Dual Mapping Model (이중매핑모델에 의한 칼라배색 시뮬레이터 구축에 관한 연구)

  • 김돈한;정지원
    • Archives of design research
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    • v.16 no.2
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    • pp.57-66
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    • 2003
  • In order to develop color image, color simulation based on data processing techniques has been developed and applied to data interpretation tools or product design supporting systems. It has been a commonmethod to use image key words to search for data and provide color coordination samples that determine computer combination in computerized support systems until recently. However, this method does not reflect system designers and users taste or preference on making final choices of color coordination samples because the database was designed based on an assumption of standardized group that was established database from large scaled image evaluation research. In this study, we suggest a color coordination simulator that supports designer's final decision-making procedure on sample groups through the simulation of various color combination. The simulator allows communications with the system to explore a designer's color combination taste and preference, and provides a user for an efficient environment to judge the optimum result. The color coordination simulator was designed based upon Dual mapping model derived from a designer's thought process, and four steps of operations longrightarrowdefining color concept longrightarrowmaking color sample groupslongrightarrow simulation-determining ranking among final combination samples - will be assisting color design process.

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Effect of Brand Recognition and Familiarity on Consumer Preferences for Commercial Rice Wines (yakju) (브랜드 인지여부 및 친밀도가 시판 약주의 소비자 기호도에 미치는 영향)

  • Lee, Seung-Joo
    • Korean Journal of Food Science and Technology
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    • v.43 no.1
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    • pp.23-29
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    • 2011
  • The objectives of this study were to investigate the effects of brand familiarity and brand recognition on the acceptance of 10 commercial Korean rice wines (yakju). For the consumer preference testing, 104 rice wine drinkers (males, 56; female, 48) from their 20's to 40's were recruited. Consumers first rated the preferences and purchasing intent of the samples without accompanying information about each sample. During a break, brand familiarities and demographics were surveyed. The consumers then rated the preferences and purchasing intent with information about each sample. An analysis of variance was constructed to evaluate the effect of gender, age, and samples on the liking and purchasing intent of the rice wine products. Significant differences were observed for the likings and purchasing intents among the 10 samples with and without brand information, respectively. A paired t-test was performed to evaluate the effect of brand recognition between with and without brand information. A significant effect of brand recognition was confirmed, particularly for the samples with higher levels of brand familiarity. Internal preference mapping was performed to understand the overall relationships between each consumer's liking of the 10 samples with and without brand information. Acceptance tended to shift toward more familiar products when the information was presented.

Brand Images of National Medium-low Priced Casual Clothing Through Perceptual Mapping (국내 중저가 캐쥬얼 의류의 상표이미지 분석 -요인분석을 이용한 인식도를 중심으로-)

  • 이정주;진병호
    • Journal of the Korean Society of Clothing and Textiles
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    • v.19 no.6
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    • pp.1040-1050
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    • 1995
  • The Purposes of this study were to investigate the choice dimensions in purchasing the medium-low priced casual clothing, the influence of them on the preference of medium-low priced casual clothing, and the brand images of six medium-low priced casual clothing using the perceptual map. The Questionnaires were administered to 540 college students living in Seoul (340) and County of Chungnam(200). The data were analyzed by frequency, factor analysis and multiple regression analysis. The results were summarized as follows: 1) The choice dimensions in purchasing the medium-low price casual clothing were identified as exclusiveness/style, intrinsic characteristics, promotion and price/distance. 2) Exclusiveness/style dimension influenced most on the preference of medium-low priced casual, intrinsic characteristics, price/distance dimension were followed. Promotion dimension appeared to have an insignificant influence. These results were consistent in both Seoul and the County of Chungnam. 3) Perceptual mapping showed Hunt and J-vim had the best brand images, Maypole and Omphalos were followed. Tipi Cosi and I-land appeared to have the worst brand image. The college students living in the County of Chungnam perceived that all six brands of medium low priced casual clothing to be exclusive in their style. In addition, it was perceived less promoted, more expensive and farther than Seoul counterparts.

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Experimental Study on Subjective Evaluation of Car Interior Sound Quality (승용차 내부소음의 음질평가 실험연구)

  • 최병호;아우구스트쉬크
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • pp.177-182
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    • 2003
  • This study is directed toward determining the number and characteristics of psychologically meaningful perceptual dimensions required for assessing the sound Ouaiity with respect to vehicle interior and/or exterior noises. and toward identifying the acoustical or psychoacoustical bases underlying the perception. By nonmetric MDS and clustring analysis of sound quality data sets on our own, of critical importance are two perceptual dimensions for which subjective verdicts can be interpreted as loudness and sharpness. The perceptual dimensions based upon similarity judgments could be accounted for 48% and 24% of the variance. each of which might be a match for the acoustic parameter "A-weighted maximum pressure level"(r= .85) and for the psychoacoustic parameter "sharpness" (r= .65), respectively. On the other hand, the perceptual dimensions based upon preference ratings could explain 66% and 10% of the variance. where the acoustic parameter "A-weighted maximum pressure leve"(r= .92) might be taken to be a best predictor, but sharpness appeared to be less suitable for the description of Preference behavior. Linked to the results, the problems of quantitative modelling of subjective sound quality evaluation and also of implementing corresponding cognitive combination rule for technical and industrial applications, say having "winner-sound qualify" according to preference criteria will be shortly in discussion.

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Selection framework of representative general circulation models using the selected best bias correction method (최적 편이보정 기법의 선택을 통한 대표 전지구모형의 선정)

  • Song, Young Hoon;Chung, Eun-Sung;Sung, Jang Hyun
    • Journal of Korea Water Resources Association
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    • v.52 no.5
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    • pp.337-347
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    • 2019
  • This study proposes the framework to select the representative general circulation model (GCM) for climate change projection. The grid-based results of GCMs were transformed to all considered meteorological stations using inverse distance weighted (IDW) method and its results were compared to the observed precipitation. Six quantile mapping methods and random forest method were used to correct the bias between GCM's and the observation data. Thus, the empirical quantile which belongs to non-parameteric transformation method was selected as a best bias correction method by comparing the measures of performance indicators. Then, one of the multi-criteria decision techniques, TOPSIS (Technique for Order of Preference by Ideal Solution), was used to find the representative GCM using the performances of four GCMs after the bias correction using empirical quantile method. As a result, GISS-E2-R was the best and followed by MIROC5, CSIRO-Mk3-6-0, and CCSM4. Because these results are limited several GCMs, different results will be expected if more GCM data considered.

Selection of Performance of Bias Correction using TOPSIS method (TOPSIS 방법을 이용한 편의 보정 방법 선정)

  • Song, Young Hoon;Chung, Eun Sung
    • Proceedings of the Korea Water Resources Association Conference
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    • pp.306-306
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    • 2019
  • 전지구적 기온상승으로 인해 미래기후의 관한 연구가 중요시 되고 있다. 위와 같은 현상으로 인하여 다양한 기후변화 연구가 진행되고 있다. 미래기후 연구에는 GCM (General Circulation Model) 모의 결과가 이용된다. 격자 자료로 구성된 GCM은 연구 지점으로 지역적 상세화와 연구지역의 관측자료 사이의 편이 보정(bias correction)이 필수적이다. 위와 같은 근거로 편이 보정 방법의 선택은 매우 중요하며 편의 보정의 방법에 따라서 결과가 다르게 도출될 수 있다. 또한 국내외 연구에서는 다양한 상세화 기법과 편이 보정 기법을 분석 및 평가하는 연구가 진행되고 있으며, 편의 기법 중 대표적인 기법인 Quantile mapping과 Random Forest 기법이 있다. Quantile mapping 기법은 GCM의 과거 모의 데이터와의 편이 보정에 있어서 우수하게 나타났으나, GCM 데이터의 미래 예측 기간(2010년~2018년)까지의 데이터에서는 극한 강수를 정량적으로 분석 가능한 Random Forest 기법이 편이 보정 과정에서 성능이 우수할 것으로 판단된다. 본 연구에서는 우리나라 21개 관측소를 기준으로 총 4개의 GCM(GISS, CSIRO, CCSM4,MIROC5)의 과거 기간 자료(1970년~2005년)를 실제 관측소에서 관측된 강수량을 편의 보정하는 방법에 있어서 편의 보정 기법의 성능을 비교한 결과와 GCM 미래 예측 기간 자료(2010년~2018년)에서의 편의 보정 기법의 성능 결과를 비교하였다. 이를 토대로 편이 보정 기법의 결과를 6개의 평가지수를 이용하여 정량적으로 분석하였으며, 다기준의사결정기법인 TOPSIS(Technique for Order of Preference by Similarity to Ideal Solution)를 이용하여 편이 보정기법들의 성능에 있어서 우선순위를 선정하였다. 본 연구에서 편이 보정 방법으로 Quantile mapping 방법을 사용했으며, Quantile mapping의 기법으로는 비모수 변환법(non-parametric transformation)과 분포기반 변환법(distribution derived transformation)이 사용되었다. 또한 머신러닝 방법 중 하나인 Random Forest 방법을 동시에 사용하여 결과를 비교하였다. 또한 GCM 자료가 격자식으로 제공하고 있기 때문에 관측소 강수량도 공간적으로 환산하여야 하는데, 본 연구에서는 역거리 가중치법(inverse distance weighting, IDW) 방법을 이용하였다.

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Sensory Characteristics and Consumer Liking of Commercial Sojues Marketed in Korea (시판 소주 제품들의 관능적 특성 및 소비자 기호도)

  • Jee, Joo-Hee;Lee, Hye-Seong;Lee, Jin-Won;Suh, Dong-Soon;Kim, Hee-Sub;Kim, Kwang-Ok
    • Korean Journal of Food Science and Technology
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    • v.40 no.2
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    • pp.160-165
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    • 2008
  • This study was conducted to analyze sensory profiles of commercial sojues using a standardized sensory evaluation procedure, and to investigate the effects of sensory characteristics and brands on consumer liking for soju. Descriptive analysis and consumer taste testing were conducted for seven commercial sojues. For the descriptive analysis, eight panelists generated and evaluated 12 flavor and one pain-sensation attributes for the soju, and there were significant differences among the soju samples for all the 13 sensory attributes. For the descriptive data, principal component analysis was performed to summarize the sensory characteristics of the sojues. For the consumer testing, 224 soju drinkers (20-29 year-olds) were recruited and randomly divided into two groups; a blind group and a group with the knowledge of brand. While the hedonic ratings obtained from the blind group didn't indicate significant differences among the sojues, the ratings obtained from the brand-informed group showed significant differences. Finally, the individual preferences of the 112 consumers in each group were investigated by preference mapping techniques.