• Journal of the Korean Institute of Landscape Architecture
• /
• v.41 no.5
• /
• pp.46-56
• /
• 2013

This research prepared safety standard for out-door fitness and this research's purpose is to evaluate and investigate safety condition for out-door fitness which was distributed in domestic residence by applying TUV standard which evaluate product's safety inspection. We choose twelve companies which have many sales' amount and investigated for ten out-door fitness which have high consumer preferences. As a result of that, the ratio of successful applicants for safety evaluation was 55.1%. The terms desired was evaluated highly in safety for out-door fitness's fixing condition. However, the terms desired was evaluated lowly in safety for movable condition. Fitness equipment which has high consumer preferences was compared lowly than other equipment in safety part. It was analyzed that there was no difference in safety evaluation according to manufacturing company. So, it is necessary to prepare safety standard by establishing law in order to prevent accident while they are using because we cannot think that fitness equipments which was distributed in domestic area have high safety. We think that preparing safety standard can influence on preventing accident and reinforcing out-door fitness manufacturing companies' competitive.

• Journal of Digital Convergence
• /
• v.16 no.3
• /
• pp.145-156
• /
• 2018

Unlike the past, when distributors distributed games through retail stores, they are now selling digital content, which is based on online distribution channels. This study analyzes the effects of eWOM (electronic Word of Mouth) on sales volume of game sold on Steam, an online digital content distribution channel. Recently, data mining techniques based on Big Data have been studied. In this study, emotion index of eWOM is derived by emotional analysis which is a text mining technique that can analyze the emotion of each review among factors of eWOM. Emotional analysis utilizes Naive Bayes and SVM classifier and calculates the emotion index through the SVM classifier with high accuracy. Regression analysis is performed on the dependent variable, sales variation, using the emotion index, the number of reviews of each game, the size of eWOM, and the user score of each game, which is a rating of eWOM. Regression analysis revealed that the size of the independent variable eWOM and the emotion index of the eWOM were influential on the dependent variable, sales variation. This study suggests the factors of eWOM that affect the sales volume when Korean game companies enter overseas markets based on steam.

• Journal of Platform Technology
• /
• v.6 no.2
• /
• pp.10-18
• /
• 2018

The purpose of this study was to empirically analyze relations between color changes in the product specification and demand changes with price elasticity in the Chinese mobile phone market. In previous studies on price elasticity, the usual analysis units were product categories or SBU within a given product category. Unlike them, the this study set an analysis unit of price elasticity to focus on colors, which are investigated in the research fields of experiential marketing, aesthetic marketing, and cognitive psychology. Actual sales data according to the mobile phone price changes by the color were based on the sales volume of a sales agency at China's largest B2C site. The findings were as follows: first, price elasticity according to the six colors was higher than the absolute value of 1, which means that demands made flexible reactions to price changes. Secondly, there were differences in price elasticity according to the colors. Aroma white color made the smallest increase in sales volume at the same price discount, whereas diamond color made the biggest increase in sales in the same price discount scope. These findings indicate that more profit can be generated in mobile phone sales in China by setting different price discount or increase rates according to colors or producing different amounts of mobile phones according to colors. Distributors or sales agents can have a chance for higher profit by ordering and selling mobile phones in certain colors than others from mobile phone manufacturers. The academic findings indicates that there are differences in preference and price elasticity according to colors under the mobile phone category in the Chinese market, which means that the present study made an academic contribution by proposing a microscopic analysis unit for product price elasticity and expanding its concept.

• The Journal of Bigdata
• /
• v.6 no.1
• /
• pp.179-196
• /
• 2021

With the spread of untact culture resulting from the Covid-19 pandemic, the size of the car camping market has expanded to minimize contact with others. As a result, SUVs have exceeded sales of sedans, and sales of recreational vehicles (RVs) have increased by 101% compared to the same period last year. Despite the explosive increase in demand for car camping, research on car camping has not matched this increase. Therefore, in this study, we intended to conduct a study focused on car camping users. According to a survey of Naver's famous car camping cafe, it was difficult to find articles, maps, and websites with car camping places. Analysis of car camping websites showed that most only post information about the camping itself, so details of car camping places were not available. Furthermore, according to a survey derived from related prior studies and literature surveys, most users urged solutions to the problem of unauthorized garbage dumping in the car camping locations. In addition, car camping users wanted to receive information on amenities near the car camping places. Therefore, we aimed to establish a car camping website that provides basic information on car camping places and nearby convenience facilities. Moreover, to solve the problem of garbage dumping, we provided a category wherein users can post pictures of clean camping campaigns. We also developed a business model utilizing the certification process of clean camping. The business model is designed with a structure wherein car camping users are rewarded through the clean camping certification process. Compensation for clean camping certification was proposed to be provided through partnerships with domestic automakers, Korea Tourism Organization, and Small Business Market Promotion Agency.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 2009.11a
• /
• pp.46-46
• /
• 2009

2007년 본격적으로 시장에 출시된 터치폰은 시장의 관심을 받으며, 휴대전화의 한 영역으로 자리매김하였다. 전세계 휴대전화 시장에서 터치폰이 차지하는 비중은 급속도로 증가하고 있다. 삼성전자는 시장에 후발주자로서 터치폰 시장에 진입하였음에도 불구하고, 2009년 3분기 기준 전세계 터치폰 시장의 23.9% 점유율을 차지하며 1위를 차지하고 있다.터치폰에서의 선전으로 삼성전자는 전세계 휴대전화 판매량의 20.3%를 달성하며 2위 자리를 확고히 하고 있다. 이러한 상승 추세는 지속될 것으로 보이며, 터치폰에서의 성공에는 TouchWiz UX가 중심에 있다고 할 수 있다. 본 세션에서는 TouchWiz UX를 통한 삼성 터치폰의 성공 전략에 대해 소개하고자한다. 우선 TouchWiz UX가 탄생할 수 있었던 배경으로서 당사의 디자인 철학이자 UX 다지인 철학을 간단하게 소개한다. "Creating Emotional Journey"라는 슬로건 아래 "Desire", "Intrigue", "Delight"라는 핵심철학을 공유하고 있다. 다음으로 TouchWiz UX를 성공 시킬 수 있었던 UX 추진 전략을 "Good UX 전략", "브랜드화 전략", "진화 전략", "확산 전략" 으로 나누어 소개한다. 첫째, Good UX 전략에서는 "Simple", "Robust", "Reliable"의 3대 원칙하에 사용성이 높고 감성을 자극하는 UX를 만들기위해 노력하였다. 둘째, 브랜드화 전략에서는 UX를 마케팅에 적극적으로 활용하여 TouchWiz라는 UX 브랜드를 탄생시켰다. 셋째, 진화 전략에서는 TouchWiz 1.0에서 2.0으로 진화하는 과정에서 핵심적인 부분은 유지하면서 발전시켜 나가는 전략을 선택하였다. 넷째, 확산 전략에서는 TouchWiz UX가 각기 다른 OS, Platform, 사업자에 따라 공통화, 차별화를 병행하여 확산하였다. 마지막으로, 내년에 소개될 TouchWiz 3.0에 대해 전략과 키워드를 간단히 소개한다.

• Journal of KIISE
• /
• v.44 no.4
• /
• pp.339-343
• /
• 2017

As the number of customers who write fake reviews is increasing, online shopping sites have difficulty in providing reliable reviews. Fake reviews are called review spam, and they are written to promote or defame the product. They directly affect sales volume of the product; therefore, it is important to detect review spam. Review spam detection methods suggested in prior researches were only based on an international site even though review spam is a widespread problem in domestic shopping sites. In this paper, we have presented new review features of the domestic shopping site NAVER, and we have applied the formerly introduced method to this site for performing an evaluation.

• Knowledge Management Research
• /
• v.19 no.2
• /
• pp.91-108
• /
• 2018

This study mainly focused on measuring the impact of comments for a particular song on the number of streamings and downloads. We modeled multiple regression equations to perform this analysis. We chose digital music market for the object of analysis because of its inherent characteristics, such as experience goods, high bandwagon effect, and so on. We carefully utilized text mining technique in accordance with the algorithm of Naïve Bayes classifier to distinguish whether a comment for a piece of music be regarded as positive or negative. In addition, we used 'size of agency' and 'existence of hit song' as moderating variables. The reason for usage of those variables is that those are assumed to affect users' decision for selecting particular song especially when downloading or streaming via music sites. We found empirical evidences that positive comments for a particular song increase the number of both downloads and streamings. However, positive comments may decrease the number of downloads when the size of agency of the artist is big. As a result, we were able to say that a positive comment for a particular song functioned as 'word-of-mouth' effect, inducing other users' behavioral response. We also found that other features of an artist such as size of the agency that the artist belongs to functioned as an external factor along with feature of the song itself.

• Proceedings of the Korea Contents Association Conference
• /
• 2009.05a
• /
• pp.743-747
• /
• 2009

We designed and implemented an automatic update system of 네비게이션 contents. Currently car users are updating map contents of their 네비게이션 system by using SD memory card. In the implemented system, map contents are downloaded via WI-FI internet access while served in a gas station. To prevent free rider at gas stations, we adopted authentication mechanism based on MAC address.

• 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 Korea Information Processing Society Conference
• /
• 2005.05a
• /
• pp.789-792
• /
• 2005

최근 급격히 발전한 휴대폰은 다양한 기능을 가지고 있다. 그 중 디지털 카메라의 기능을 겸비한 휴대폰은 디지털 카메라의 판매량을 앞서고 있고, 메가픽셀의 고화소 디카폰의 개발로 대중화가 더욱 가속화되고 있다. 카메라폰을 응용한 연구분야로는 생체인식기술을 적용할 수 있으며, 본 논문은 제약이 많은 휴대폰 환경에서 홍채인식기술을 적용하기 위한 휴대폰 카메라로 취득된 얼굴영상에서의 눈 영역을 검출하는 방법을 제안한다. 얼굴영상에서 눈은 피부나 머리카락보다 빛에 대한 반사율이 높아 각막에 specular reflection이 생기게 되고, 동공은 눈의 다른 지역에 비해 흑화소가 많다는 특징을 가지고 있다. 이러한 두 가지 특징을 이용하여 동공 후보 영역을 선정하였고, 선정된 이진영상에서 수평 프로파일과 수직 프로파일을 적용하여 동공 후보 영역을 줄이면서 동공의 중심 위치를 검출한다. 본 연구는 휴대폰 환경을 고려하였기 때문에 최소한의 메모리 사용과 적은 연산량을 목표로 하여 눈의 위치를 검출 한다. 실험 결과, 입력 영상 내에 일정크기의 동공영역이 존재할 경우 높은 눈 영역 추출 성공률을 보이며, 본 연구에서 제안한 알고리즘을 실제 휴대폰에서 수행한 결과 평균571.6ms의 시간이 소요됨을 알 수 있었다.