• Title/Summary/Keyword: search area analysis

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A Study on Advertising Effect according to Involvement, Advertising Location and Advertising Forms - Focusing on the Fashion Internet Search Advertising - (관여, 광고위치, 광고형태에 따른 광고효과 연구 - 패션 인터넷 검색광고를 중심으로 -)

  • Je, Eun-Suk
    • The Research Journal of the Costume Culture
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    • v.20 no.2
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    • pp.251-262
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    • 2012
  • This research aimed to examine an advertising location according to consumer involvement about internet search advertising and advertising effect according to advertising forms. This research carried out a questionnaire survey from May 25, 2011 for seven days with the target of men and women at the age of 20s-30s who tried search advertising in Seoul and capital area, and 519 copies were used for final analysis. For analysis of collected materials, the reliability test, factor analysis, $t$-test, regression analysis and ${\chi}^2$ test were executed by using statistical package SPSS 16.0. The results are as follows. First, it appeared that consumer's clothing involvement, advertising involvement, advertising location and advertising forms had an influence on site attitude and clicking intention. Consumers of high clothing involvement, high advertising involvement and upper end advertising appeared to have high site attitude and clicking intention. Second, all consumers of the low and high clothing involvement and upper end advertising appeared to prefer the upper end advertising. It appeared that consumers of low advertising involvement prefer lower end advertising, and consumers of high advertising involvement prefer the upper end advertising at an advertising location according to clothing involvement. Accordingly, it is important that the search advertising exposes advertising in the upper end, and that should use an advertising phrase capable of giving trust to consumers. As the text advertising had high site attitude and clicking intention in the advertising forms, consumers should pay attention to the advertising phrase.

Search for Ground Moving Targets Using Dynamic Probability Maps (동적 확률지도를 이용한 지상 이동표적 탐색)

  • Kim, Eun-Kyu;Choi, Bong-Wan;Yim, Dong-Soon
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.38 no.4
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    • pp.11-21
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    • 2015
  • In order to achieve success in ground operations, searching for moving targets is one of critical factors. Usually, the system of searching for adversary ground moving targets has complex properties which includes target's moving characteristics, camouflage level, terrain, weather, available search time window, distance between target and searcher, moving speed, target's tactics, etc. The purpose of this paper is to present a practical quantitative method for effectively searching for infiltrated moving targets considering aforementioned complex properties. Based upon search theories, this paper consists of two parts. One is infiltration route analysis, through terrain and mobility analysis. The other is building dynamic probability maps through Monte Carlo simulation to determine the prioritized searching area for moving targets. This study primarily considers ground moving targets' moving pattern. These move by foot and because terrain has a great effect on the target's movement, they generally travel along a constrained path. With the ideas based on the terrain's effect, this study deliberately performed terrain and mobility analysis and built a constrained path. In addition, dynamic probability maps taking terrain condition and a target's moving speed into consideration is proposed. This analysis is considerably distinct from other existing studies using supposed transition probability for searching moving targets. A case study is performed to validate the effectiveness and usefulness of our methodology. Also, this study suggests that the proposed approach can be used for searching for infiltrated ground moving target within critical time window. The proposed method could be used not only to assist a searcher's mission planning, but also to support the tactical commander's timely decision making ability and ensure the operations' success.

A Comparative Analysis on the Current Housing Unit Plans of Korea and China (${\cdot}$중 현대 집합주거 단위평면 비교연구)

  • Jung Byung-Moon;Kim Hyeon-Ji;Lee Sang-Hong
    • Journal of the Korean housing association
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    • v.16 no.6
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    • pp.65-72
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    • 2005
  • The purpose of this study is to get preeminent data from comparative analysis of multi-family housing unit plans between Korea and China nowadays. Even though Korea and China belong to common cultured band in Asia, there are many different Housing aspects and unit plans. Through this study we want to grasp the characteristics of both nation's apartment unit plans and to contribute for advance into the China apartment market. Analysis target is constructing and lotting out apartment at South Korea and China in 2004, and the space syntax model is used as an analysis tool. First, analyze kind, number and special quality of each room by use area, and second, analyze area and scale of the rooms. Through the integration analysis we know the grade of rank and centrality of each rooms, and search difference of South Korean and Chinese apartment.

A Study on Consumer Values Clothing Shopping Orientation and Clothing Satisfaction (성인여성의 가치인식과 의복쇼핑성향 및 의복만족에 관한 연구)

  • 구자명;이명희
    • Journal of the Korean Society of Clothing and Textiles
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    • v.23 no.3
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    • pp.459-470
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    • 1999
  • The objectives of this study were to investigate the difference the clothing shopping orientation and clothing satisfaction according to satisfaction·dissatisfaction group to examine how the clothing satisfaction was influenced by consumer values demographic variable clothing shopping orientation. The subject were 457 women in Seoul Korea The results of the study were as follows. 1. five factors of clothing shopping orientation (SO) derived by factor analysis : F.1. conspicious SO : F,2 search SO: F,3 recreational SO : F,4 addictive SO :F,5 independent SO . Two factors of terminal value derived by factor analysis : F,1 responsible : F.2 ambitious. 2. Satisfaction group had high levels of search SO, dissatisfaction group had high levels of addictive SO. Satisfaction group was satisfied with color style appropriateness for wearer in order dissatisfaction group was dissatisfied with care price size in order. 3. Conspicious SO were influenced bysocial stratification social recognition and happiness. Search SO were influenced by dwelling area and age. Recreational SO were influenced by social stratification social recognition and responsible value. Addictive SO influenced by responsible value social recognition and happiness. independent SO were influenced by marital status and ambitious value. 4. Clothing satisfaction was influenced by addictive conspicious SO happiness and recreational SO(R2=24.6)

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Analysis of Multichannel Choice Behavior based on Apparel items (의류제품 특성에 따른 멀티채널 선택행동 분석)

  • Kim, Jie-yurn
    • Fashion & Textile Research Journal
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    • v.17 no.6
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    • pp.919-931
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    • 2015
  • Recently, with the rapid development of the Internet, the importance of the multi-channel retailing strategy including online channel has been emphasized in fashion business. The purpose of this research is to give some practical ideas of multichannel strategy for fashion retailers through comparison for multichannel choice behaviors between Korean and US consumers. The online survey was conducted on the 400 fashion customers aged between 20s and 50s living in Korea and America. The survey consisted of measurement items about channel choice behaviors for purchase or information search, risk perception on channel, repurchase intention at same channel, perception on experience or search goods among apparel items. The data were analyzed by frequency, regression, t-test using SPSS 18.0 program. The ratio of utilization multichannel was higher in fashion goods area in Korea fashion business. Also, most of Top-ranked fashion or accessory retailers in America were taking advantage of multichannel strategy. There were some differences between Korea and US consumers in channel choice behaviors for purchase or information search, risk perception for retail channel, repurchase intention at same channel, perception on experience or search goods among apparel items, etc. Some suggestion for the future research for multichannel strategy in fashion retailing was given.

A Study on the Improvement of Vehicle Ride Comfort by Genetic Algorithms (유전자 알고리즘을 이용한 차량 승차감 개선에 관한 연구)

  • 백운태;성활경
    • Transactions of the Korean Society of Automotive Engineers
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    • v.6 no.4
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    • pp.76-85
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    • 1998
  • Recently, Genetic Algorithm(GA) is widely adopted into a search procedure for structural optimization, which is a stochastic direct search strategy that mimics the process of genetic evolution. This methods consist of three genetics operations maned selection, crossover and mutation. Contrast to traditional optimal design techniques which use design sensitivity analysis results, GA, being zero-order method, is very simple. So, they can be easily applicable to wide area of design optimization problems. Also, owing to multi-point search procedure, they have higher probability of converge to global optimum compared to traditional techniques which take one-point search method. In this study, a method of finding the optimum values of suspension parameters is proposed by using the GA. And vehicle is modelled as planar vehicle having 5 degree-of-freedom. The generalized coordinates are vertical motion of passenger seat, sprung mass and front and rear unsprung mass and rotate(pitch) motion of sprung mass. For rapid converge and precluding local optimum, share function which distribute chromosomes over design bound is introduced. Elitist survival model, remainder stochastic sampling without replacement method, multi-point crossover method are adopted. In the sight of the improvement of ride comfort, good result can be obtained in 5-D.O.F. vehicle model by using GA.

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The Optimization of Sizing and Topology Design for Drilling Machine by Genetic Algorithms (유전자 알고리즘에 의한 드릴싱 머신의 설계 최적화 연구)

  • Baek, Woon-Tae;Seong, Hwal-Gyeong
    • Journal of the Korean Society for Precision Engineering
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    • v.14 no.12
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    • pp.24-29
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    • 1997
  • Recently, Genetic Algorithm(GA), which is a stochastic direct search strategy that mimics the process of genetic evolution, is widely adapted into a search procedure for structural optimization. Contrast to traditional optimal design techniques which use design sensitivity analysis results, GA is very simple in their algorithms and there is no need of continuity of functions(or functionals) any more in GA. So, they can be easily applicable to wide area of design optimization problems. Also, owing to multi-point search procedure, they have higher porbability of convergence to global optimum compared to traditional techniques which take one-point search method. The methods consist of three genetics opera- tions named selection, crossover and mutation. In this study, a method of finding the omtimum size and topology of drilling machine is proposed by using the GA, For rapid converge to optimum, elitist survival model,roulette wheel selection with limited candidates, and multi-point shuffle cross-over method are adapted. And pseudo object function, which is the combined form of object function and penalty function, is used to include constraints into fitness function. GA shows good results of weight reducing effect and convergency in optimal design of drilling machine.

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Fast Algorithm Based on Successive Elimination Algorithm for Multi-Reference Motion Estimation (다중 참조영상 움직임 추정에 적응을 위한 연속 제거 알고리즘 기반 고속화 알고리즘)

  • Kim Young-Moon;Lee Jae-Eun;Lim Chan;Kang Hyun-Soo
    • Journal of Korea Multimedia Society
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    • v.8 no.7
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    • pp.889-897
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    • 2005
  • This paper presents a new fast motion estimation algorithm for multi-reference frames. We first analyze the experimental results of the successive elimination algorithm, which is a fast version of full search algorithm, being applied to Multi-reference frames. Based on the analysis, a new scheme for alleviating its computational burden is introduced. In the proposed method, the motion vector for the immediately previous reference frame is found by applying the successive elimination algorithm, while the motion vector for other reference frames is estimated by extrapolation of the already obtained motion vector. Adaptively restricting the motion search area to the local area centered on the estimated motion vector, the proposed method provides dramatic computational complexity reduction but slight quality degradation. The proposed method is evaluated by experiments for some image sequences.

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Sentence Recommendation Using Beam Search in a Military Intelligent Image Analysis System (군사용 지능형 영상 판독 시스템에서의 빔서치를 활용한 문장 추천)

  • Na, Hyung-Sun;Jeon, Tae-Hyeon;Kang, Hyung-Seok;Ahn, Jinhyun;Im, Dong-Hyuk
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.11
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    • pp.521-528
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    • 2021
  • Existing image analysis systems in use in the military field are carried out by readers analyzing and identifying images themselves, writing and disseminating related content, and in this process, repetitive tasks are frequent, resulting in workload. In this paper, to solve the previous problem, we proposed an algorithm that can operate the Seq2Seq model on a word basis, which operates on a sentence basis, and applied the Attention technique to improve accuracy. In addition, by applying the Beam Search technique, we would like to recommend various current identification sentences based on the past identification contents of a specific area. It was confirmed through experiments that the Beam Search technique recommends sentences more effectively than the existing greedy Search technique, and confirmed that the accuracy of recommendation increases when the size of Beam is large.

Hiker Mobility Model and Mountain Distress Simulator for Location Estimation of Mountain Distress Victim (산악 조난자의 위치추정을 위한 이동성 모델 및 조난 시뮬레이터)

  • Kim, Hansol;Cho, Yongkyu;Jo, Changhyuk
    • Journal of the Korea Society for Simulation
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    • v.31 no.3
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    • pp.55-61
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    • 2022
  • Currently police and fire departments use a Network/Wifi/GPS based emergency location positioning system established by mobile carriers to directly link with the device of the people who request the rescue to accurately position the expected location in the call area. However in the case of mountain rescue it is difficult to rescue the victim in golden time because the location of the search area cannot be limited when the victim is located in a radio shadow area of the mountain or the device power is off and this situation become worse if victim fail to report 911 by himself due to the injury. In this paper, we are expected to solve the previous problem by propose the mobile telecommunication forensic simulator consist of time series of cell information, human mobility model which include some general and specific features (age, gender, behavioral characteristics of victim, etc.) and intelligent infer system. The results of analysis appear in heatmap of polygons on the map based on the probability of the expected location information of the victim. With this technology we are expected to contribute to rapid and accurate lifesaving by reducing the search area of rescue team.