• Journal of the Korean Data and Information Science Society
• /
• v.20 no.5
• /
• pp.879-886
• /
• 2009

The purpose of this article is to present the application of Least Squares Support Vector Machine in analyzing the existing structure of brand. We estimate the parameters of the Market Share Attraction Model using a non-parametric technique for function estimation called Least Squares Support Vector Machine, which allows us to perform even nonlinear regression by constructing a linear regression function in a high dimensional feature space. Estimation by Least Squares Support Vector Machine technique makes it a good candidate for solving the Market Share Attraction Model. To illustrate the performance of the proposed method, we use the car sales data in South Korea's car market.

• Proceedings of the Korean Society of Dyers and Finishers Conference
• /
• 2011.11a
• /
• pp.62-62
• /
• 2011

현재 다운방한 용도에 사용되는 직물 트랜드는 경량화 및 박지화 추세에 있으며, 국내외 유명 브랜드에서 사용되는 스포츠웨어 직물소재의 대부분이 이러한 제품으로 판매가 이루어지고 있다. 현재, 국내외 다운방한용에 사용되는 원단은 겉감이외에 다운 세기방지용 안감직물을 사용하여 다운이 빠져나오지 않도록 하고 있음. 그러나, 최근 겉감으로 사용하여 다운이 세지 않고 매우 가벼우면서 Packable 원단개발이 요구되고 있을 뿐만 아니라, 다운방한직물에 요구되는 성능에 만족하거나 성능이 향상된 고기능 원단개발이 요구되고 있다. 이러한 다운방한용 직물은 다운의 내구성 및 지속성 측면에서 매우 많은 기능이 요구되고 있으며 현재 국내에서 사용하고 있는 다운방한용 직물은 다운커버직물을 사용하거나 코팅에 의해 다운세기 방지기능을 강제로 발현시키고 있다. 그러나 그 직물은 경량화 되어가고 있기 때문에 다운커버 직물을 사용하지 않으면서부터 다운이 세는 문제점, 그리고 공기투과 및 투습이 제대로 되지 못하는 기능성의 문제점, 경량화와 더불어 인열강력이 약하여 잘 찢어지는 문제점, 인열강력의 물리적 특성을 높이고자 코팅을 하게되면 기능성 및 감성이 더욱 나빠지는 문제점이 나타나게 되어 다운 방한용 직물은 큰 문제점이 되고 있다. 이에 겉감만으로도 다운방한용도에 적합한 고감성 및 기능성을 가진 경량직물 개발을 위해 고밀도 제직 및 설계 기술, 최종 염색가공 및 후가공 공정까지의 공정내(內) 간(間)연계기술을 연구하였다.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.5
• /
• pp.640-649
• /
• 2018

This study analyzed the consumer awareness of cycling wear using web mining, one of the big data analysis methods. For this, the texts of postings and comments related to cycling wear from 2006 to 2017 at Naver cafe, 'people who commute by bicycle' were collected and analyzed using R packages. A total of 15,321 documents were used for data analysis. The keywords of cycling wear were extracted using a Korean morphological analyzer (KoNLP) and converted to TDM (Term Document Matrix) and co-occurrence matrix to calculate the frequency of the keywords. The most frequent keyword in cycling wear was 'tights', including the opinion that they feel embarrassed because they are too tight. When they purchase cycling wear, they appeared to consider 'price', 'size', and 'brand'. Recently 'low price' and 'cost effectiveness' have become more frequent since 2016 than before, which indicates that consumers tend to prefer practical products. Moreover, the findings showed that it is necessary to improve not only the design and wearability, but also the material functionality, such as sweat-absorbance and quick drying, and the function of pad. These showed similar results to previous studies using a questionnaire. Therefore, it is expected to be used as an objective indicator that can be reflected in product development by real-time analysis of the opinions and requirements of consumers using web mining.

• Journal of rehabilitation welfare engineering & assistive technology
• /
• v.9 no.4
• /
• pp.309-317
• /
• 2015

In this paper, we proposed the standard test specification for safety and function of hiking stick for the elderly. We have concluded nine factors representing specification of hiking stick through analysis of hiking patents and research papers, products survey of business market, case studies for damaged hiking stick and expert surveys. To test the factors, we designed three different kinds of apparatus to examine twist resistance, stick and tip durability and stick straightness. The sample of hiking sticks purchased from market based on Naver sales ranking top to fifteenth. As a result, we concluded six-standard test specification based on eccentric load, adjustable parts load, hand strap load, basket load, tip load and pull load of hiking stick.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.15 no.4
• /
• pp.291-297
• /
• 2022

This Paper is about the study that design performance and reliability measurement circuits of the IPM which is an intelligent switching switch module included at an inverter circuits for driving of A.C. Servo motors in home appliance. IPM is a core device of motor driver and it's switching characteristics should be retained uniformly during the driving of a servo system. All of it's specification, the collector emitter switch on voltage Vce(on) spec. is very important. As the IPM are core part of inverters and producing from several brands and versions, for optimal performances of application systems a method and measurement & evaluation system to measure Vce(on) value, collector emitter switch on voltage, of the IPM IGBT switches with various brands are required. Especially, the proposed method can measure and evaluate Vce(on) values of IPM with load at mounting state on the motor driving circuits and proposed measurement & evaluation system can be important instrument systems for IPM user companies.

• Science of Emotion and Sensibility
• /
• v.19 no.4
• /
• pp.83-94
• /
• 2016

The aim of this study was to investigate effective expression method of performance information of functional clothing and preferred alternatives for the categorized consumer groups according to the perception about the functional outdoor jacket. 472 males and females in their 20s-60s' were surveyed and their answers were analysed and categorized by using SPSS 21.0 statistical program. For the study, four different expression methods for waterproof & breathable fabric, 'illustration only', 'illustration+Korean text', 'illustration+foreign text', and 'chart with Korean text', were presented and asked for finding correct answers. The analysis was done for three categorized consumer groups from the former study, 'unconversant/brand & design pursuing group', 'conversant/function pursuing group' and 'high price/high function preferring group'. The results showed that regardless of groups, 'picture only' was the most preferred method and 'graph' was the least. However, the percentage of correct answers for the 'graph' was the biggest, especially for 'conversant/function pursuing group'. It implied that the effective expression method should be differentiated depending on the target consumer groups. 'Conversant/function pursuing group' more agreed on the need for additional information, such as 'after-washed performance', than other two groups.

• Proceedings of the Korean Information Science Society Conference
• /
• 1998.10a
• /
• pp.480-482
• /
• 1998

최근, 멀티캐스트 기법을 사용하는 멀티미디어 응용 프로그램들이 인터넷에 등장하고 있다. 이들 응용 프로그램들의 성공 여부는 수신자들에게 전송되는 음성/영상의 품질에 의해 좌우된다. 인터넷은 응용프로그램의 QoS(Quality of Service) 에 대한 요구를 보장할 수 없기 때문에 멀티케스트 트래픽(multicast traffic)을 위하여 인터넷의 성능을 최대한 효율적으로 이용할 수 있도록 흐름제어에 대한 많은 연구가 진행되고 있다. 그 중 IVS(INRIA Video conferencing System)에서 제안한 멀티캐스트 트래픽 흐름제어 알고리즘은 수신자가 주기적으로 전달하는 RTCP 의 패킷손실 정보에 의해 송신자가 전송율을 조절하는 것이다. 그러나 이 알고리즘은 네트워크 상태가 무부하(unload)임에도 불구하고 느린 피드백으로 인하여 가용 네트워크 대역폭을 빠르게 파악하지 못하기 때문에, TCP트래픽과 경쟁 상태에서 네트워크 대역폭을 불공정(unfairness)하게 사용하게 되고 네트워크 상태에 알맞는 전송율을 결정하지 못한다. 본 논문에서는 더욱 공정하게 대역폭을 공유할 수 있고 전체 링크 이용율을 높이는 두 가지 기법을 제안한다. 첫째, 측정된 네트워크 혼잡상태에 따라 RTCP 피드백의 전송 빈도를 동적으로 조절하는 것이다. 둘째, TCP와 같이 전송율을 증가/감소시킴으로써 공정하게 네트워크를 공유하도록 하는 것이다. 본 논문에서는 이 두 가지 기법들이 TCP 트래픽에 영향을 주지 않고 또한 RTCP피드백의 양을 증가시키지 않으면서도 공정하게 네트워크 대역폭을 공유함으로써 링크의 이용율을 높일 수 있다는 것을 시뮬레이션을 통하여 보여준다.안 모니터링 기 능 등으로 조사되었다.도 멜-켑스트럼을 사용한 경우 67.5%, K-L계수를 사용한 경우 75.3%로 7.8%의 향상된 인식률을 보였으며 K-L계수와 회귀계수를 결합한 경우에서도 비교적 높은 인식률을 보여 숫자음에 대해서도 K-L계수의 유효성을 확인할 수 있었다..rc$ 구입할 때 중점적으로 살펴보는 사항은 신선도와 순수재래종 여부, 위생상태였다. 한편 소비자가 언제나 구입할 수 없다는 의견이 85.2%나 되어 원활한 공급과 시장조성이 아직 정착되지 않고 있었다. $\bigcirc$ 현재 유통되고 있는 재래종닭은 소비자 대부분이 잡종으로 인식하고 있었으며, 재래종과 일반육계와의 구별은 깃털색, 피부색, 정강이색등 외관상으로 구별하고 있었다. 체중에 대한 반응은 너무 작다는 의견이었고, 식품으로의 인식도는 비교적 고급식품으로 인식하고 있다. $\bigcirc$ 재래종닭고기의 브랜드화에 대한 견해는 젊고 소득이 높은 계층에서 브랜드화의 필요성을 강조하고 있다. $\bigcirc$ 재래종달걀의 소비형태는 대부분의 소비자가 좋아하였으나 아직 먹어보지 못한 응답자가 많았다. 재래종달걀의 맛에 대해서는 고소하고 독특하여 차별성을 느끼고 있었다. $\bigcirc$ 재래종달걀의 구입장소는 계란판매점(축협.농협), 슈퍼, 백화점, 재래닭 사육 농장등 다양하였으며 포장단위는 10개를 가장 선호하였고, 포장재료는 종이, 플라스틱, 짚의 순으로 좋아하였다. $\bigcirc$ 달걀의 가격은 200원정도를 적정하다고 하였으며, 크기는 (평균 52g)는 가장 적당하다고

• The Journal of Society for e-Business Studies
• /
• v.22 no.1
• /
• pp.123-146
• /
• 2017

The information that consumers share in the SNS (Social Networking Service) has a great influence on the purchase of consumers. Therefore, it is necessary to pay attention to new research methodology and advertising strategy using Social Big Data. In this context, the purpose of this study is to quantitatively analyze customer value through Social Big Data. In this study, we analyzed the value structure of consumers for the three smartphone brands through text mining and positive/negative image analysis. Analysis result, it was possible to distinguish the emotional aspects (sensitivity) and rational aspects (rationality) for customer value per brand. In the case of the Galaxy S7 and iPhone 6S, emotional aspects were important before the launch, but the rational aspects was important after release date. On the other hand, in the case of the LG G5, emotional aspects were important before and after launch. We can propose two core advertising strategies based on analyzed consumer value. When developing advertising strategy in the case of the Galaxy S7, there is a need to emphasize the rational aspects of product attributes and differentiated functions. In the case of the LG G5, it is necessary to consider the emotional aspects of happiness, excitement, pleasure, and fun that are felt by using products in advertising strategy. As a result, this study will provide a good standard for actual advertising strategy through consumer value analysis. Advertising strategies are primarily driven by intuition or experience. Therefore, it is important to develop advertising strategies by analyzing consumer value through social big data analysis.

• Journal of Intelligence and Information Systems
• /
• v.23 no.4
• /
• pp.77-110
• /
• 2017

Recently, the diversification and individualization of consumption patterns through the web and mobile devices based on the Internet have been rapid. As this happens, the efficient operation of the offline store, which is a traditional distribution channel, has become more important. In order to raise both the sales and profits of stores, stores need to supply and sell the most attractive products to consumers in a timely manner. However, there is a lack of research on which SKUs, out of many products, can increase sales probability and reduce inventory costs. In particular, if a company sells products through multiple in-store stores across multiple locations, it would be helpful to increase sales and profitability of stores if SKUs appealing to customers are recommended. In this study, the recommender system (recommender system such as collaborative filtering and hybrid filtering), which has been used for personalization recommendation, is suggested by SKU recommendation method of a store unit of a distribution company that handles a homogeneous brand through a plurality of sales stores by country and region. We calculated the similarity of each store by using the purchase data of each store's handling items, filtering the collaboration according to the sales history of each store by each SKU, and finally recommending the individual SKU to the store. In addition, the store is classified into four clusters through PCA (Principal Component Analysis) and cluster analysis (Clustering) using the store profile data. The recommendation system is implemented by the hybrid filtering method that applies the collaborative filtering in each cluster and measured the performance of both methods based on actual sales data. Most of the existing recommendation systems have been studied by recommending items such as movies and music to the users. In practice, industrial applications have also become popular. In the meantime, there has been little research on recommending SKUs for each store by applying these recommendation systems, which have been mainly dealt with in the field of personalization services, to the store units of distributors handling similar brands. If the recommendation method of the existing recommendation methodology was 'the individual field', this study expanded the scope of the store beyond the individual domain through a plurality of sales stores by country and region and dealt with the store unit of the distribution company handling the same brand SKU while suggesting a recommendation method. In addition, if the existing recommendation system is limited to online, it is recommended to apply the data mining technique to develop an algorithm suitable for expanding to the store area rather than expanding the utilization range offline and analyzing based on the existing individual. The significance of the results of this study is that the personalization recommendation algorithm is applied to a plurality of sales outlets handling the same brand. A meaningful result is derived and a concrete methodology that can be constructed and used as a system for actual companies is proposed. It is also meaningful that this is the first attempt to expand the research area of the academic field related to the existing recommendation system, which was focused on the personalization domain, to a sales store of a company handling the same brand. From 05 to 03 in 2014, the number of stores' sales volume of the top 100 SKUs are limited to 52 SKUs by collaborative filtering and the hybrid filtering method SKU recommended. We compared the performance of the two recommendation methods by totaling the sales results. The reason for comparing the two recommendation methods is that the recommendation method of this study is defined as the reference model in which offline collaborative filtering is applied to demonstrate higher performance than the existing recommendation method. The results of this model are compared with the Hybrid filtering method, which is a model that reflects the characteristics of the offline store view. The proposed method showed a higher performance than the existing recommendation method. The proposed method was proved by using actual sales data of large Korean apparel companies. In this study, we propose a method to extend the recommendation system of the individual level to the group level and to efficiently approach it. In addition to the theoretical framework, which is of great value.

• Proceedings of the KAIS Fall Conference
• /
• 2010.11a
• /
• pp.488-490
• /
• 2010

최근 심각한 환경오염 문제와 화석 에너지 고갈로 차세대 청정 에너지 개발에 대한 중요성이 증대되고 있다. 그중에서 태양정지는 공해가 적고, 자원이 무한적이며 반 영구적인 수명을 가지고 있어 미래에너지 문제를 해결할 수 있는 에너지원으로 기대되고 있다. 본 연구에서는 P3HT(regioregular poly(3-hexylthiophene))와 PCBM(fullerene derivative [6,6]-phenyl-C61-butyric acid methyl ester)을 전자 도너와 억셉터 물질을 하나의 브랜드로 광 활성층을 형성하는 BHJ(bulk hetero junction)구조를 갖는 고분자 유기 박막 태양전지를 각각 Toluene, Mono-Chlorobenzene, Dichlorobenzene에 $60^{\circ}C$, 200rpm으로 약 12시간동안 1wt%로 교반(Stirring)한 후에 중량비(1:1 wt%)로 혼합하여 스핀코팅(Spin-coating)으로 제작하였고, 완성된 소자의 광활성층 면적은 0.04cm2이며, $150^{\circ}C$에서 후속 열처리 공정을 통해 특성 향상이 측정 되었다. 태양전지 소자 구조는 Glass / ITO / PEDOT:PSS / P3HT : PCBM / Al이다. 전류-전압, FF(Fill Factor), 변환효율 측정을 위해 solar simulator를 AM1.5 조건(100 mW/cm2)으로 이용하였으며, 소자의 최대 전류밀도는 12mA/$cm^2$, 개방전압은 0.566V이고 F.F(Fill Factor)는 55.2%이고 변환효율은 3.7%이다. 후속 열처리후 더욱 좋은 성능을 갖게 되었고, 최대 효율은 Dichl orobenzene일 때 이다.