• Title/Summary/Keyword: value similarity

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A Study on the Relationship between Weighted Value and Qualitative Standard in Substantial Similarity (실질적 유사성 판단을 위한 가중치 활용과 질적 분석의 관계)

  • Kim, Si-Yeol
    • Journal of Software Assessment and Valuation
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    • v.15 no.1
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    • pp.25-35
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    • 2019
  • In Korea, the calculation of quantitative similarity is commonly used to gauge the substantial similarity of computer programs. Substantial similarity should be assessed by considering the quantity and quality of areas that show similarity, but in practice, qualitative aspects are reflected by multiplying the weighted value in the calculation of quantitative similarity. However, such a practical method cannot be deemed adequate, considering the fundamental characteristic of the judgment on substantial similarity, which holds that the quantitative and qualitative aspects of similar areas should be considered on an equal footing. Thus, this study pointed out the issue regarding the use of weighted value and sought appropriate ways to take into account qualitative aspects when assessing the substantial similarity of computer programs.

The Role of Authenticity and Value Similarity for Live-commerce Sellers (라이브 커머스 판매자의 진정성과 가치 유사성의 역할)

  • Inho Hwang
    • The Journal of Information Systems
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    • v.33 no.2
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    • pp.1-25
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    • 2024
  • Purpose Live commerce, a real-time product promotion method using portable hardware, is experiencing significant growth. This approach involves product experts or celebrities endorsing products, providing consumers with valuable information to mitigate uncertainty. This research underscores the significance of the seller's authenticity and their value similarity with consumers in live commerce. The study's first objective enhance the seller's authenticity and elucidate the mechanism that influences purchase intention. The second objective is to demonstrate the interactive effect of value similarity and the seller's authenticity on positively influencing purchase intention. Design/methodology/approach This research utilized previous studies to develop models and hypotheses, focusing on adults experienced in live commerce product purchasing. The study tested the research hypothesis using 330 samples. The study analyzed the path from seller authenticity to purchase intention via structural equation modeling (AMOS 22.0), and also explored the interaction between value similarity and seller authenticity using the Process 3.1 macro. Findings The research validates that the seller's channel activities and external perception amplify the seller's authenticity, influencing purchase intentions. It also affirms that value similarity fosters seller authenticity and interactive effects, thereby boosting purchase intentions. These findings provide insights for devising seller management strategies on live commerce platforms.

A Text Similarity Measurement Method Based on Singular Value Decomposition and Semantic Relevance

  • Li, Xu;Yao, Chunlong;Fan, Fenglong;Yu, Xiaoqiang
    • Journal of Information Processing Systems
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    • v.13 no.4
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    • pp.863-875
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    • 2017
  • The traditional text similarity measurement methods based on word frequency vector ignore the semantic relationships between words, which has become the obstacle to text similarity calculation, together with the high-dimensionality and sparsity of document vector. To address the problems, the improved singular value decomposition is used to reduce dimensionality and remove noises of the text representation model. The optimal number of singular values is analyzed and the semantic relevance between words can be calculated in constructed semantic space. An inverted index construction algorithm and the similarity definitions between vectors are proposed to calculate the similarity between two documents on the semantic level. The experimental results on benchmark corpus demonstrate that the proposed method promotes the evaluation metrics of F-measure.

Fault Detection and Identification of Uninhabited Aerial Vehicle using Similarity Measure (유사측도를 이용한 무인기의 고장진단 및 검출)

  • Park, Wook-Je;Lee, Sang-Hyuk
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.19 no.2
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    • pp.16-22
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    • 2011
  • It is recognized that the control surface fault is detected by monitoring the value of the coefficients due to the control surface deviation. It is found out the control surface stuck position by comparing the trim value with the reference value. To detect and isolate the fault, two mixed methods apply to the real-time parameter estimation and similarity measure. If the scatter of aerodynamic coefficients for the fault and normal are closing nearly, fault decision is difficult. Applying similarity measure to decide for fault or not, it makes a clear and easy distinction between fault and normal. Low power processor is applied to the real-time parameter estimator and computation of similarity measure.

An Efficient Pixel Value Prediction Algorithm using the Similarity and Edge Characteristics Existing in Neighboring Pixels Scanned in Inverse s-order (역 s-순으로 스캔된 주변 픽셀들에 존재하는 유사성과 에지 특성을 이용한 효율적인 픽셀 값 예측 기법)

  • Jung, Soo-Mok
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.11 no.1
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    • pp.95-99
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    • 2018
  • In this paper, we propose an efficient pixel value prediction algorithm that can accurately predict pixel value using neighboring pixel values scanned in reverse s-order in the image. Generally, image has similarity with similar values between adjacent pixel values, and may have directional edge characteristics. In this paper, we proposed a method to improve pixel value prediction accuracy by improving GAP(Gradient Adjacent Pixel) algorithm for predicting pixel value by using similarity between adjacent pixels and edge characteristics. The proposed method increases the accuracy of the predicted pixel value by precisely predicting the pixel value using the positional weights of the neighboring pixels. Experiments on real images confirmed the superiority of the proposed algorithm. The proposed algorithm is useful for applications such as reversible data hiding, reversible watermarking, and data compression applications.

Similarity Measurement of 3D Shapes Using Ray Distances (Ray distance를 이용한 3차원 형상의 유사성 판단)

  • 황태진;정지훈;오헌영;이건우
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.1
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    • pp.159-166
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    • 2004
  • Custom-tailored products are meant by the products having various sizes and shapes to meet the customer's different tastes or needs. Thus fabrication of custom-tailored products inherently involves inefficiency. To minimize this inefficiency, a new paradigm is proposed in this work. In this paradigm, different parts are grouped together according to their sizes and shapes. Then, representative shape of each group is derived and it will be used as the work-piece from which the parts in the group are machined. Once a new product is ordered, the optimal work-piece is selected through making similarity comparisons of new product and each representative shape. Then an effective NC tool-path is generated to machine only the different portions between the work-piece and the ordered product. The efficient machining conditions are also derived from this shape difference. By machining only the different portions between the work-piece and the ordered product, it saves time. Similarity comparison starts with the determination of the closest pose between two shapes in consideration. The closest pose is derived by comparing the ray distances while one shape is virtually rotated with respect to the other. Shape similarity value and overall similarity value calculated from ray distances are used for grouping. A prototype system based on the proposed methodology has been implemented and applied to the grouping and machining of the shoe lasts of various shapes and sizes.

Similarity Measurement of 3D Shapes Using Ray Distances (Ray distance를 이용한 3차원 형상의 유사성 판단)

  • 정지훈;황태진;오헌영;이건우
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2003.06a
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    • pp.70-73
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    • 2003
  • Custom-tailored products are meant by the products having various sizes and shapes to meet the customer's different tastes or needs. Thus fabrication of custom-tailored products inherently involves inefficiency. To minimize this inefficiency, a new paradigm is proposed in this work. In this paradigm. different paris are grouped together according to their sizes and shapes. Then, representative shape of each group is derived and it will be used as the work-piece from which the parts in the group are machined. Once a new product is ordered, the optimal work-piece is selected through making similarity comparisons of new product and each representative shape. Then an effective NC tool-path is generated to machine only the different portions between the work-piece and the ordered product. The efficient machining conditions are also derived from this shape difference. By machining only the different portions between the work-piece and the ordered product, it saves time. Similarity comparison starts with the determination of the closest pose between two shapes in consideration. The closest pose is derived by comparing the ray distances while one shape is virtually rotated with respect to the other. Shape similarity value and overall similarity value calculated from ray distances are used for grouping. A prototype system based on the proposed methodology has been implemented and applied to the grouping and machining of the shoe lasts of various shapes and sizes.

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Similarity Analysis of Exports Value Added by Country and Implication for Korea's Global Value Added Chains

  • Cho, Jung-Hwan
    • Journal of Korea Trade
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    • v.23 no.4
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    • pp.103-114
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    • 2019
  • Purpose - This paper investigates the structure of exports across countries in terms of value added. Exports value added is examined under two categories, domestic and overseas. Using a statistical classification method by distance based on these two value added categories, this paper estimates the similarity of exports value added across countries including Korea. Design/methodology - The model of study is to employ a generalized distance function and then derive the Manhattan and Euclidean distances. The paper also performs cluster analysis using the Partitioning Around Medoids (PAM) and hierarchical methods to classify the 44 sample countries considered in this study. Findings - Our main findings are as follows. The 44 countries can be classified under 5 groups by their domestic and overseas value added in exports. Korea has a sandwich global value chains (GVCs) position between Japan, China, and Taiwan in the East Asian region. Originality/value - Existing papers point out the double counting problem of trade statistics as the intermediate goods trade across borders increases. This paper addresses the double counting problem by using the World Input-Output Table. The paper shows the need to explore the similarity of value added in exports structure across countries and investigate the GVCs position and role of each country.

Pixel value prediction algorithm using three directional edge characteristics and similarity between neighboring pixels

  • Jung, Soo-Mok
    • International Journal of Internet, Broadcasting and Communication
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    • v.10 no.1
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    • pp.61-64
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    • 2018
  • In this paper, a pixel value prediction algorithm using edge components in three directions is proposed. There are various directional edges and similarity between adjacent pixels in natural images. After detecting the edge components in the x-axis direction, the y-axis direction, and the diagonal axis direction, the pixel value is predicted by applying the detected edge components and similarity between neighboring pixels. In particular, the predicted pixel value is calculated according to the intensity of the edge component in the diagonal axis direction. Experimental results show that the proposed algorithm can effectively predict pixel values. The proposed algorithm can be used for applications such as reversible data hiding, reversible watermarking to increase the number of embedded data.

Seasonal variation of species composition by depths in deep sea ecosystem of the East Sea of Korea (동해 심해 생태계의 수심별 종조성 및 계절변동)

  • Sohn, Myoung-Ho;Lee, Hae-Won;Hong, Byung-Kyu;Chun, Yong-Yul
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.46 no.4
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    • pp.376-391
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    • 2010
  • To investigate seasonal variation and species composition by depth layers in the deep sea ecosystem of the East Sea of Korea, bottom trawl survey was conducted at 4 depth layers during spring and autumn from 2007 to 2009. A total of 47 species were collected and were composed of 23 fish species, 9 crustacea, 6 cephalopoda and 9 gastropoda. The main dominant species at each depth layers were Chionoecetes opilio in 300m, Berryteuthis magister in 500m, Chionoecetes japonicus in 700m and 900m. In spring, richness indices (R) showed low value of 2.01 in 500m depth, and high value of 2.16 in 300m depth. Diversity indices (H') showed low value of 1.53 in 300m depth, and high value of 2.09 in 700m depth. Dominance indices (D) showed low value of 0.15 in 700m depth, and high value of 0.31 in 300m depth. In Autumn, richness indices showed low value of 1.48 in 900m depth, and high value of 2.69 in 300m depth. Diversity' indices (H') showed low value of 1.13 in 300m depth, and high value of 2.23 in 700m depth. Dominance indices (D) showed low value of 0.14 in 700m depth, and high value of 0.54 in 300m depth. In spring, similarity analysis in each depth layers showed the difference between 900m and othe depth layer, on the contrary 500m and 700m showed the similarity. In autumn, similarity analyssis in each depth layers showed the difference between 700m and other depth layers, on the contrary 300m and 500m showed the similarity.