• Proceedings of the IEEK Conference
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• 2007.07a
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• pp.417-418
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• 2007

본 논문에서는 입체음향을 2채널로 재생할 때 이동음이 부드럽게 생성되도록 하는 방법에 대해 연구한다. 일반적으로 이동음 효과 생성을 위해 머리전달함수(Head Related Transfer Function : HRTF)의 주파수 영역에서의 보간을 사용한다. 하지만 특정 점에서 측정된 머리전달함수를 이용하여 이동하는 음을 생성하기 때문에 클릭음 발생, 보간 특성의 변화 등의 문제점이 발생하게 된다. 이 같은 문제점을 해결하기 위해 본 논문에서는 이동음의 궤적 상에 있는 머리전달 함수들을 그룹화하여 이동음의 구현에 사용한다. 위와 같은 방법으로 구현된 이동음의 성능 평가 결과 보다 자연스러운 이동음이 생성되는 것을 확인하였다.

• The Journal of Korean Academy of Prosthodontics
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• v.47 no.4
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• pp.406-415
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• 2009

Purpose: The purpose of this study was to compare the marginal fitness and fracture load of the zirconia copings according to the design with different thickness and coloration. Material and methods: The evaluation was based on 80 zirconia copings. Zirconia copings were fabricated in design with different thicknesses using CAD/CAM system (Everset, KAVO dental GmbH, Biberach, Germany). The designs of copings were divided into four groups. The first group consisted of copings with uniform thickness of 0.3 mm. The thickness in the second group was 0.3 mm on the buccal surface and 0.6 mm on the lingual surface. The third group consisted of coping with uniform thickness of 0.6 mm. The thickness in the fourth group was 0.6 mm on the buccal surface and 1mm on the lingual surface. Each group consisted of 10 colored and 10 uncolored copings. Half of the copings (40) processed with a milling system according to the specific design were sent to be given a color (A3) through saturation in special dye by a manufacturing company. Just after sintering, the marginal discrepancies of copings were measured on the buccal, lingual, mesial and distal surfaces of metal die, under a Video Microscope System (sv-35, Sometech, Seoul, Korea) at a magnification of $\times$ 100. It was remeasured after the adjusting of the inner surface. Next, all copings were luted to the metal dies using reinforced cement {GC FujiCEM (GC Corp. Tokyo, Japan)} and mounted on the testing jig in a Universal Testing Machine (Instron 4467, Norwood, MA, USA). The results were analyzed statistically using the one-way ANOVA test. Results: The obtained results were as follow: 1. The measured value of marginal discrepancy right after sintering was the greatest in the contraction of the buccal area in all groups, except for group I2. 2. There was no significant difference of marginal fitness among the groups in the colored zirconia group (P<.05). 3. When the marginal fitness among the groups in the uncolored zirconia group was considered, group II2 had the smallest marginal discrepancy. 4. When the colored and uncolored groups with the same design were compared, there was a significant difference between I1 and II1 groups. In group 2, 3, and 4, the uncolored zirconia had the greatest marginal fitness (P<.05). 5. After adjustment of inner surface, there was no significant difference in the marginal fitness in all groups when color and design of the zirconia coping were compared. 6. The fracture load of CAD/CAM zirconia copings showed significant difference in group 1, 2, 3, and 4. I4 and II4 had the strongest fracture load. 7. When groups with different color and same design were compared, all colored groups showed greater fracture load (P>.05), with no significance. Conclusion: There was difference in the marginal fitness according to the design and coloration of zirconia copings right after sintering, but it was decided that the copings may well be used clinically if the inner surface are adjusted. The copings should be thick enough for the reinforcement of fracture strength. But considering the esthetics of the visible surfaces (labial and buccal surface), the thickness of copings may be a little thin, without giving any significant effect on the fracture strength. This type of design may be considered when giving priority to preservation of tooth or esthetics.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.5
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• pp.2375-2382
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• 2011

The user clustering for web navigation pattern discovery is very useful to get preference and behavior pattern of users for web pages. In addition, the information by the user clustering is very essential for web personalization or customer grouping. In this paper, an algorithm for clustering the web navigation path of users is proposed and then some special navigation patterns can be recognized by the algorithm. The proposed algorithm has two clustering phases. In the first phase, all paths are classified into k-groups on the bases of the their similarities. The initial solution obtained in the first phase is not global optimum but it gives a good and feasible initial solution for the second phase. In the second phase, the first phase solution is improved by revising the k-means algorithm. In the revised K-means algorithm, grouping the paths is performed by the hyperplane instead of the distance between a path and a group center. Experimental results show that the proposed method is more efficient.

• Journal of the Society of Naval Architects of Korea
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• v.55 no.1
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• pp.66-74
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• 2018

In order to evaluate the precision degree of the blocks on the dock, the shipyards recently started to use the point cloud approaches using the 3D scanners. However, they hesitate to use it due to the limited time, cost, and elaborative effects for the post-works. Although it is somewhat traditional instead, they have still used the electro-optical wave devices which have a characteristic of having less dense point set (usually 1 point per meter) around the contact section of two blocks. This paper tried to expand the usage of point sets. Our approach can estimate the rework time to weld between the Pre-Erected(PE) Block and Erected(ER) block as well as the precision of block construction. In detail, two algorithms were applied to increase the efficiency of estimation process. The first one is K-mean clustering algorithm which is used to separate only the related contact point set from others not related with welding sections. The second one is the Concave hull algorithm which also separates the inner point of the contact section used for the delayed outfitting and stiffeners section, and constructs the concave outline of contact section as the primary objects to estimate the rework time of welding. The main purpose of this paper is that the rework cost for welding is able to be obtained easily and precisely with the defective point set. The point set on the blocks' outline are challenging to get the approximated mathematical curves, owing to the lots of orthogonal parts and lack of number of point. To solve this problems we compared the Radial based function-Multi-Layer(RBF-ML) and Akima interpolation method. Collecting the proposed methods, the paper suggested the noble point matching method for minimizing the rework time of block-welding on the dock, differently the previous approach which had paid the attention of only the degree of accuracy.

• Proceedings of the Korea Technology Innovation Society Conference
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• 1998.05a
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• pp.10-10
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• 1998

생명공학의 혁신적 발명성을 매우 잘 보여주는 성공사례의 하나가 사람락토페린을 함유한 형질전환 젖소의 개발이다. 우유의 모유화를 내걸고 있는 본 연구는 국내·외에 막대한 잠재시장 규모가 예상되고 있다. 그러나 생명공학 제품은 ‘생물 재해(Bio Hazard)’에 대한 우려와 윤리문제를 제기할 수 있기 때문에 대중인식(Public Acceptance)에 대한 연구가 매우 중요한 의미를 가지는 것이다. 이러한 상황인식하에 사람락토페린을 함유한 유제품에 대한 소비자행태분석(Consumer Behavior Analysis)을 수행하게 되었다. 본 연구에 사용된 연구방법은 비시장가치평가법 중 임의가치평가법(CVM)을 사용하고 있다. 임의가치평가법은 선진국 특히 본 이론의 발상지인 미국에서 환경재기 가치를 측정하는 방법으로 사용되어 오고 있는데 이를 신상품 및 과학기술의 가치평가법으로 확대하여 연구하여온 필자의 일련의 연구중의 한 시도이다. 좋은 CVM 연구를 수행하기 위해서는 CVM이 요구하는 가치평가방법에 맞추어 설문서가 구성되고 분석되는 일이 무엇보다도 중요한 일이다. 본 연구에서는 CVM의 연구방법에 맞추어 사람락토페린 강화우유에 대한 소비자지불의향(Consumer Willingness to Pay) 조사와 더불어 사람락토페린 강화우유에다가 DHA, 칼슘 등 새로운 기능성 물질을 추가하여 더욱 좋은 기능을 첨가한 경우의 구입할 용의와 지불의향에 대한 조사를 수행하였다. 본 연구에서는 과학기술에 의해 탄생된 신상품에 대한 임의가치평가법의 적용이라는 새로운 시도의 연구라는점을 감안하여 본 연구를 바탕으로 더욱 새로운 문제제기와 추가적인 연구가 필요하다고 생각된다.적인 자세를 견지한다. 한편, 적응의 원리에 입각한 교육은 문화와 전통에 대한 피동적 전승을 넘어서 사회의 변화에 따라 교육체제와 내용을 바꾸는 등 적극적으로 변화에 대응하고, 이러한 변화를 주도할 인간육성에 힘을 기울이는 교육방식을 취한다. 시대적 변화의 소용돌이 속에서 교육은 이제 기왕의 많은 교육적 신화들을 타파하고 뉴 밀레니엄을 준비해야할 기로에 서 있다. 현재의 변화를 슬기롭게 대처하고 미래의 변화에 능동적으로 적응하는 인간을 육성하기 위한 오늘날 교육의 사명은 우선 미래사회를 위한 교육정책의 방향을 수립하는 일이다. 교육정책은 국가의 교육방침으로서 현실 교육문제의 해결도 중요하지만 미래의 발전을 기약할 수 있는 장기적인 비젼과 목표 속에서 정립될 필요가 있다. 이러한 의도하에 본 연구는 21세기를 대비한 교육정책의 방향을 탐색하고 그에 따른 정책적 과제를 제시하는 데 그 목적이 있다. 이러한 목적하에 본고는 \circled1 과거 우리 나라의 교육정책을 반성적으로 회고하고, \circled2 미래사회에 대한 전망과 교육적 시사점을 분석하며, \circled3 마지막으로 21세기의 변화에 적응하기 위한 교육정책의 방향과 과제를 내용으로 제시하고자 한다.탄산염으로의 전환이 진행되고 있다. 이러한 배경으로부터 Uchida그룹에서 개발한 FeiCr/AVTi재료와 현재 분리판 재료로 사용증인 SUS 310, S SUS 316재료에 대해. 산화성 분위기의 5기압까지의 가압하에서, Li-K, Li-Na탄산염에 대하여 부 식거동을 검토한 결과, 가압하에서 내식성이 향상되는 것이 발견되었다. 이유로서는 가압하에서 용융탄산엽의 증가된 산화력으로 보다 치밀한 내식성 산화물 피막

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