• Title/Summary/Keyword: Process Similarity

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Acceleration sensor, and embedded system using location-aware

  • He, Wei;Nayel, Mohamed
    • Journal of Convergence Society for SMB
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    • v.3 no.1
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    • pp.23-30
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    • 2013
  • In this paper, fuzzy entropy and similarity measure to measure the uncertainty and similarity of data as real value were introduced. Design of fuzzy entropy and similarity measure were illustrated and proved. Obtained measures were applied to the calculating process and discussed. Extension of data quantification results such as decision making and fuzzy game theory were also discussed.

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Viewpoint Unconstrained Face Recognition Based on Affine Local Descriptors and Probabilistic Similarity

  • Gao, Yongbin;Lee, Hyo Jong
    • Journal of Information Processing Systems
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    • v.11 no.4
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    • pp.643-654
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    • 2015
  • Face recognition under controlled settings, such as limited viewpoint and illumination change, can achieve good performance nowadays. However, real world application for face recognition is still challenging. In this paper, we propose using the combination of Affine Scale Invariant Feature Transform (SIFT) and Probabilistic Similarity for face recognition under a large viewpoint change. Affine SIFT is an extension of SIFT algorithm to detect affine invariant local descriptors. Affine SIFT generates a series of different viewpoints using affine transformation. In this way, it allows for a viewpoint difference between the gallery face and probe face. However, the human face is not planar as it contains significant 3D depth. Affine SIFT does not work well for significant change in pose. To complement this, we combined it with probabilistic similarity, which gets the log likelihood between the probe and gallery face based on sum of squared difference (SSD) distribution in an offline learning process. Our experiment results show that our framework achieves impressive better recognition accuracy than other algorithms compared on the FERET database.

Differentially expressed genes of Acanthamoeba castellanii during encystation

  • Moon, Eun-Kyung;Chung, Dong-Il;Hong, Yeon-Chul;Kong, Hyun-Hee
    • Parasites, Hosts and Diseases
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    • v.45 no.4
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    • pp.283-285
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    • 2007
  • To examine the expressed gene profile during encystation of Acanthamoeba castellanii Castellani, we used differentially expressed gene (DGE) screening by RT-PCR with 20 sets of random primers. From this analysis, we found that approximately 16 genes showed up regulation during encystation. We chose 6 genes, which had relatively higher expression levels, for further investigation. Based on homology search in database, DEG2 showed 55% of similarity with xylose isomerase, DEG9 showed 37% of similarity with Na P-type ATPase, and DEG14 showed 77% of similarity with subtilisin-like serine proteinase. DEG3 and DEG26 were identified as hypothetical proteins and DEG25 exhibited no significant similarity to any known protein. Encystation of Acanthamoeba has been suggested to be a process to resist adverse environmental or nutritional conditions. Further characterization studies of these genes may provide us with more information on the encystation mechanism of Acanthamoeba.

Implementing a POP System using Similarity Evaluation Method (유사도 평가 방법론을 이용한 POP 시스템의 구현)

  • Kim, Chong-Su;Kim, Kyeong-Taek
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.29 no.4
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    • pp.91-99
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    • 2006
  • A POP system, which collects manufacturing data from the shop floors and supply them to higher level systems, should be maintained and upgraded according to the change of production environment such as new product introduction. This situation leads to the need of a cost-effective system development methodology. In this paper, a methodology based on the classification and the similarity comparison of manufacturing processes is proposed. In this, a new product is classified according to the similarity of its manufacturing processes, which enables recycling of existing system modules. The proposed methodology has been tested in the case of an electronics parts manufacturing company, where a POP system is implemented. The result shows that the proposed methodology can save time and efforts for system implementation.

A Study on Searching for Process of Experience for Architectural Design (건축공간에 있어서 경험의 과정성 구현 연구)

  • Kim Soojin;Lee Young-Soo
    • Korean Institute of Interior Design Journal
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    • v.14 no.5 s.52
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    • pp.62-70
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    • 2005
  • Basically, modern architect's translation of relations between architectural space and human beings is focused upon the space and the way the space is experienced. Thus, the architecture is construed not as the finalized and fixed structure but as something undetermined and In progress. Here, we can identify the similarity between current trend and theory on process. Experience argument in this study is based upon such a similarity. And for your understanding of the spatial concept broached in the following experience argument, I've presented the analysis of Ben van Berkel's and Kazuyo Sejima's works that represent user's experiences in discussing art works. Taking a step further, I'll try to provide the true definition of being in progress and the potential of the architecture, thereby seeking the value and meaning of trends in modern architecture. In this regard, this study is aimed to analyze the attributes of experiences in progress identified in the art works of Ben van Berkel and Kazuyo Sejima and to extract and analyze the architectural concepts therein.

Effects of K-drama on attitudes of Chinese consumers toward Korean fashion products - The role of perceived similarity and people image - (중국 소비자들의 한국 TV드라마 시청이 한국 패션제품 태도 형성에 미치는 영향 - 드라마 등장인물과의 유사성과 국민이미지 역할을 중심으로 -)

  • Park, Jee-Sun;Jeong, So Won;Lee, Kyu-Hye
    • The Research Journal of the Costume Culture
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    • v.25 no.1
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    • pp.32-47
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    • 2017
  • As the popularity of Korean drama and celebrities in China, Korean fashion is becoming increasingly popular in the Chinese market. Although the effect of Korean drama on Chinse consumers' attitudes toward Korean products are known, little research has been conducted to understand the mechanisms underlying the impact of Korean drama on the development of consumer attitudes. Thus, this study examines how Chinese consumers' exposure to Korean dramas has influenced their attitudes towards Korean fashion products. Applying the similarity-attraction theory, the study explores the roles Chinese consumers' perceived similarities in appearance and values with Korean characters in TV dramas plays in the process of attitude development. Data was collected via an online survey and the responses of 317 Chinese consumers in their twenties were used for data analysis. The results of structural equation modeling show that exposure to Korean dramas has a direct impact on Chinese consumers' perceived appearance similarity, perceived value similarity, image of Korean people, and attitudes toward Korean fashion products-results that support the theory of mere exposure. In addition, the analysis demonstrates that perceived appearance similarity positively influences the image of Koreans among Chinese people, which, in turn, influences attitudes toward Korean fashion products, supporting the similarity-attraction theory. However, the effect of perceived value similarity on attitude toward Korean fashion products was not significant. The study concludes by describing its practical implications for the Korean fashion industry and presenting ideas for future research.

Customized Knowledge Creation Framework using Context- and intensity-based Similarity (상황과 정보 집적도를 고려한 유사도 기반의 맞춤형 지식 생성프레임워크)

  • Sohn, Mye M.;Lee, Hyun-Jung
    • Journal of Internet Computing and Services
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    • v.12 no.5
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    • pp.113-125
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    • 2011
  • As information resources have become more various and the number of the resources has increased, knowledge customization on the social web has been becoming more difficult. To reduce the burden, we offer a framework for context-based similarity calculation for knowledge customization using ontology on the CBR. Thereby, we newly developed context- and intensity-based similarity calculation methods which are applied to extraction of the most similar case considered semantic similarity and syntactic, and effective creation of the user-tailored knowledge using the selected case. The process is comprised of conversion of unstructured web information into cases, extraction of an appropriate case according to the user requirements, and customization of the knowledge using the selected case. In the experimental section, the effectiveness of the developed similarity methods are compared with other edge-counting similarity methods using two classes which are compared with each other. It shows that our framework leads higher similarity values for conceptually close classes compared with other methods.

The Effect of OCB Profile Similarity between Individual and Colleagues on Experienced Incivility (개인-동료 간 OCB 프로파일 유사도가 무례경험에 미치는 영향 연구)

  • Song, Gi-Ryung;Kim, Kyoung-Seok
    • Asia-Pacific Journal of Business
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    • v.13 no.3
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    • pp.245-259
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    • 2022
  • Purpose - Studies have been continuously carried out by researchers so far to clarify the factors influencing employee's incivility at work. However, the behavior of employees who are the target of incivility not much has been revealed which behavior affects the experience of incivility. Among them, it is interesting that the effect of OCB, a representative of employees' positive behavior in the workplace, on their experienced incivility has not been investigated. Therefore, this study attempted to clarify the relationship between OCB and experienced incivility that previous studies have not yet discovered. Design/methodology/approach - In the process, the concept of profile similarity was introduced and based on this, it was assumed that the OCB profile similarity between individual and colleagues, not the absolute level of OCB, would affect the experienced incivility and demonstrated this. The analysis was conducted by applying the survey data obtained from 205 employees to hierarchical regression analysis. Findings - As a result of the analysis, it was examined that the absolute OCB value used in previous studies did not significantly affect the experienced incivility, but the higher the similarity level, the less experienced incivility. The implications obtained based on this and future research directions are discussed together in the conclusion. Research implications or Originality - This study is the first one that considers OCB's profile similarity as a antecedent of experienced incivility. OCB profile similarity concept was only treated as a theoretical issue even in very early stage of OCB research stream, but this study examines the significant effect of OCB profile similarity. Moreover, behavioral antecedents of experienced incivility has not been identified well, but this study finds out that OCB can be a behavioral antecedent of experienced incivility.

Noise-tolerant Image Restoration with Similarity-learned Fuzzy Association Memory

  • Park, Choong Shik
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.3
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    • pp.51-55
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    • 2020
  • In this paper, an improved FAM is proposed by adopting similarity learning in the existing FAM (Fuzzy Associative Memory) used in image restoration. Image restoration refers to the recovery of the latent clean image from its noise-corrupted version. In serious application like face recognition, this process should be noise-tolerant, robust, fast, and scalable. The existing FAM is a simple single layered neural network that can be applied to this domain with its robust fuzzy control but has low capacity problem in real world applications. That similarity measure is implied to the connection strength of the FAM structure to minimize the root mean square error between the recovered and the original image. The efficacy of the proposed algorithm is verified with significant low error magnitude from random noise in our experiment.

An EFASIT model considering the emotion criteria in Knowledge Monitoring System (지식모니터링시스템에서 감성기준을 고려한 EFASIT 모델)

  • Ryu, Kyung-Hyun;Pi, Su-Young
    • Journal of Internet Computing and Services
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    • v.12 no.4
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    • pp.107-117
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    • 2011
  • The appearance of Web has brought an substantial revolution to all fields of society such knowledge management and business transaction as well as traditional information retrieval. In this paper, we propose an EFASIT(Extended Fuzzy AHP and SImilarity Technology) model considering the emotion analysis. And we combine the Extended Fuzzy AHP Method(EFAM) with SImilarity Technology(SIT) based on the domain corpus information in order to efficiently retrieve the document on the Web. The proposed the EFASIT model can generate the more definite rule according to integration of fuzzy knowledge of various decision-maker, and can give a help to decision-making, and confirms through the experiment.