Today all nations in the world focus on remaining competitive advantage by adding high values to their fashion businesses. The most typical example of such added value is fashion collection. In case of London Fashion Week, which is among the world’s top 4 most famous fashion collections where more than 5,000 journalists and buyers from 25 nations can be expected every season, it has great contribution to the economic wealth of London. It induces consumption of 20 million GBP and economic production effects of one hundred million GBP. According to Joo (2009), one of the main purposes of fashion collections can be defined as the invigoration of international marketing and the creation of consumption demand. Fashion collections lead to increased direct sales and consumption demand by developing new products based on leading fashion trends that are presented in the collection. The so-called Big four collections in Paris, Milan, New York and London have their own Country of Origin (COO) image, which represents each country, cities, brands, products and services. For example, Paris collection has been established as luxury image with hand-made and Haute Couture. Not only fashion collection but also fashion brands have applied specific country characteristics to their fashion brand’s image. This serves as a critical factor of competitiveness that communicates an integrated image of brands to the customers. Also, within the purchase decision-making process, consumers consider COO as an important element. Therefore, organizer of fashion collections as well as brands that engage in such should consider COO as a key factor. Most of the previous studies about fashion collections focused on content analyses. For example, Joo (2009) compared characteristics and current situations between four major overseas cities’ collections and Seoul collection. Additionally, there are studies about fashion style, trend, design and textile. Characteristics of color change in 1990s fashion collection (Kim & Kim, 2007) and an analysis of design of hats and fashion images in collections (Jeong & Jeong, 2008) have been conducted as well. Previous studies related to COO mainly focused on the product (Bilkey & Nes, 1982) and how the image of the producing country affects product evaluation. Thus, the purposes of this study are 1) to examine of fashion collection’s COO and fashion brand image effects on brand evaluation and purchase intention, 2) to analyze differentiation factors of COO image, brand evaluation, purchasing intention on Seoul, New York and Paris collection. We surveyed Korean, American and French who have experience in their own country’s fashion collection and used SPSS 21 for data analysis. Fashion collection’s COO and brand image has a great effect on brand evaluation and purchase intention. Moreover, it seems to increase the purchase intention by affecting brand evaluation. Therefore, the results of the study are as follows. First, we can confirm that the better the fashion collection’s COO and fashion brand image, the higher brand evaluation and purchase intention is. Second, when assessing fashion collection’s COO image and fashion brand image, brand evaluation and purchase intention differ according to Korea, US and French national stereotypes. This study goes beyond the general product-centric COO studies and introduces the fashion collection’s COO that can be valuable research in terms of contribution not only to academia, but also to the industrial field.

몽골 남부 구르반사이한 호상 열도 지형 내 족도르 지역의 함동 석영맥에 대한 유체포유물 연구 결과를 보고한다. 족도르 지역에는 후기 백악기 퇴적층 내에 정치된 화강섬록 반암 내에 구조적으로 제어되는 동 광화작용이 나타난다. 이러한 화강섬록 반암 내에 동 광물 함유 석영맥은 프로필리틱 변질대의 석영-녹렴 석-자철석 및 석영-자철석을 포함하는 열수 변질 양상을 보인다. 석영맥은 광물 조합에 따라 두 가지 유형으 로 분류되며 주로 황동석과 함께 산출되고 드물게는 반동석, 자철석, 황철석과 함께 산출된다. 석영-자철석± 황동석 및 석영-녹렴석-자철석 조합의 석영맥 내 유체포유물은 기포 크기 5-30 vol.%, 염농도 2-13 wt.% NaCl, 균질화 온도 107-270°C인 2상의 수성 포유물이다. 관찰된 석영맥의 광물 조합과 모암의 지구화학적 특성 및 변질 양상 등으로 판단했을 때, 유체포유물 자료는 연구 지역이 반암동 관련 광화작용의 프로필리틱 변질 영역에 해당함을 보여준다.

북한 무산 철광상과 중국 안산-번시 철광화대는 시생대 호상철광층으로 북중국 지괴의 동쪽 블록 중 용강 블록에 속한다. 무산 철 광상을 배태하는 변성퇴적암은 무산층군이고 안산-번시 철 광화대를 배태하는 변성퇴적암은 안산층군으로 이들은 주로 철질 규암, 각섬암, 편암, 혼성암으로 구성되어 있다는 공통점을 갖고 있다. 주 광종은 주로 철질 규암에 배태되어 있는 자철석이다. 광체의 모양은 무산 철 광상의 경우 습곡에 의해 말발굽 모양을 갖지만 안산-번시 철 광화대의 경우 대부분 층상의 모양을 갖는다. 호상철광층의 생성 연대는 무산 철 광상은 약 2.66-2.52 Ga이고, 안산-번시 철 광화대는 2.55-2.53 Ga로 보고되어 시기적으로 유사하며, 광상형은 모두 알고마 유형으로 알려져있다. 결론적으로 무산 철 광상과 안산-번시 철 광화대는 지질 및 형성 시기, 그리고 광상 특성이 매우 유사하다고 볼 수 있다.

In this paper we propose the method that detects moving objects in autonomous navigation vehicle using LRF sensor data. Object detection and tracking methods are widely used in research area like safe-driving, safe-navigation of the autonomous vehicle. The proposed method consists of three steps: data segmentation, mobility classification and object tracking. In order to make the raw LRF sensor data to be useful, Occupancy grid is generated and the raw data is segmented according to its appearance. For classifying whether the object is moving or static, trajectory patterns are analysed. As the last step, Markov chain Monte Carlo (MCMC) method is used for tracking the object. Experimental results indicate that the proposed method can accurately detect moving objects.