• Title/Summary/Keyword: Probability of Identity

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Investigation of Microbial Contamination and Working Environment in University Foodservices (대학급식소 작업시설과 환경의 미생물 오염도 분석 및 작업환경 실태조사)

  • Park, Soon-Hee;Moon, Hye-Kyung
    • Journal of the Korean Dietetic Association
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    • v.23 no.2
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    • pp.180-191
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    • 2017
  • The purpose of this study was to identity the probability of cross-contamination from the environment. For this, we examined foodservices at 20 universities/colleges for microbiological analysis of their working facilities and environment as well as their preventive equipment against cross-contamination. Seventy percent of the 20 foodservices were found to maintain one unified working area, which suggests high probability of contamination of food/utensils/equipment in the cooking area by pre-preparation or dish washing. According to the microbiological analysis, the hygiene acceptance ratio of working facilities in the clean zone was 70%, which was higher than the average 45% hygiene acceptance ratio of working facilities in the contamination operating zone. There was a significant difference in the total plate count (P<0.001) and coliform count (P<0.01), which demonstrates that work tables in the clean zone were in a good state compared to those in the contamination operating zone. In the contamination operating zone, refrigerator shelves had a high probability of cross-contamination. Regarding the floor surface and airborne microbes, cooking areas which should be maintained as clean zones had higher cross-contamination probability than those in the contamination operating zone. So corrective actions such as cleaning and sanitizing, keeping dry floors, lowered temperature and humidity, shoe disinfecting facilities, and checking concentrations, are necessary to manage floor surfaces and airborne microbes in the cooking area.

A Study of Service Quality and Identity on Professional Sports for Promoting Licensing Product Intentions (라이센스 제품의 구매 촉진을 위한 프로 스포츠 서비스 품질과 동일시에 관한 연구)

  • Park, Bae Jin;Park, Sun Young
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.11 no.3
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    • pp.189-197
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    • 2016
  • This study is aimed at providing basic data necessary for promoting consumption of professional sports licensing in the industry through service quality. Specifically, the current study examines the effects of service quality and licensing product intentions on professional sports and evaluates the moderating identity. For this study, we distributed a total of 480 questionnaires to those sampled through non-probability sampling from people living in small and medium cities including Seoul. Collected data were coded and entered into the computer, and statistically processed using SPSS Statistics 18 The results were as follow: First, service quality of professional sports significantly effect on licensing product intentions, but identity could not effect on licensing product intentions. Second, Identity as a moderating variable has significantly positive effect on the relationship between star player of service quality and Licensing Product Intentions. In conclusion, the companies that participate as title sponsors in professional sports were proven to promotion their licensing product intentions, as identified with sports fans through service quality of professional sports such as record, attractiveness, star player and locally affiliated.

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Application Driven Cluster Based Group Key Management with Identifier in Mobile Wireless Sensor Networks

  • Huh, Eui-Nam;Nahar Sultana
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.1 no.1
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    • pp.1-17
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    • 2007
  • This paper proposes and analyzes a scalable and an efficient cluster based group key management protocol by introducing identity based infrastructure for secure communication in mobile wireless sensor networks. To ensure scalability and dynamic re-configurability, the system employs a cluster based approach by which group members are separated into clusters and the leaders of clusters securely communicate with each other to agree on a group key in response to changes in membership and member movements. Through analysis we have demonstrated that our protocol has a high probability of being resilient for secure communication among mobile nodes. Finally, it is established that the proposed scheme is efficient for secure positioning in wireless sensor networks.

FUZZY-FILTER-BASED APPROACH TO RESTORATION OF THE OLD MOVIES

  • Tomohisa-Hoshi;Takashi-Komatsu;Takahiro-Saito
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1999.06a
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    • pp.29-34
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    • 1999
  • We present a practical method for removing biotches and restoring their mission data. To detect blotches, we employ a robust approach of local analysis of spatiotemporal anisotropic brightness continuity Our approach uses first-order spatiotemporal directional derivatives to select the smoothest direction for each examined pixel, and puts out the incorruption probability that he examined pixel may not be corrupted by blotches. As the restoration filter, were employ a spatiotemporal fuzzy filter whose response is adaptively controlled according to a fuzzy rule defined by the incorruption probability. The fuzzy filter is composed of the two different filter of the identity filter and the spatiotemporal directional-weighted-mean filter, and will put out an intermediate value between the original input brightness and the directional-weighted-mean brightness. We design the fuzzy rule in advance by a standard supervised learning fuzzy rule in advance by a standard supervised learning method. The computer simulations are presented.

Development of novel microsatellite markers to analyze the genetic structure of dog populations in Taiwan

  • Lai, Fang-Yu;Lin, Yu-Chen;Ding, Shih-Torng;Chang, Chi-Sheng;Chao, Wi-Lin;Wang, Pei-Hwa
    • Animal Bioscience
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    • v.35 no.9
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    • pp.1314-1326
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    • 2022
  • Objective: Alongside the rise of animal-protection awareness in Taiwan, the public has been paying more attention to dog genetic deficiencies due to inbreeding in the pet market. The goal of this study was to isolate novel microsatellite markers for monitoring the genetic structure of domestic dog populations in Taiwan. Methods: A total of 113 DNA samples from three dog breeds-beagles (BEs), bichons (BIs), and schnauzers (SCs)-were used in subsequent polymorphic tests applying the 14 novel microsatellite markers that were isolated in this study. Results: The results showed that the high level of genetic diversity observed in these novel microsatellite markers provided strong discriminatory power. The estimated probability of identity (P(ID)) and the probability of identity among sibs (P(ID)sib) for the 14 novel microsatellite markers were 1.7×10-12 and 1.6×10-5, respectively. Furthermore, the power of exclusion for the 14 novel microsatellite markers was 99.98%. The neighbor-joining trees constructed among the three breeds indicated that the 14 sets of novel microsatellite markers were sufficient to correctly cluster the BEs, BIs, and SCs. The principal coordinate analysis plot showed that the dogs could be accurately separated by these 14 loci based on different breeds; moreover, the Beagles from different sources were also distinguished. The first, the second, and the third principal coordinates could be used to explain 44.15%, 26.35%, and 19.97% of the genetic variation. Conclusion: The results of this study could enable powerful monitoring of the genetic structure of domestic dog populations in Taiwan.

User Identification Method using Palm Creases and Veins based on Deep Learning (손금과 손바닥 정맥을 함께 이용한 심층 신경망 기반 사용자 인식)

  • Kim, Seulbeen;Kim, Wonjun
    • Journal of Broadcast Engineering
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    • v.23 no.3
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    • pp.395-402
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    • 2018
  • Human palms contain discriminative features for proving the identity of each person. In this paper, we present a novel method for user verification based on palmprints and palm veins. Specifically, the region of interest (ROI) is first determined to be forced to include the maximum amount of information with respect to underlying structures of a given palm image. The extracted ROI is subsequently enhanced by directional patterns and statistical characteristics of intensities. For multispectral palm images, each of convolutional neural networks (CNNs) is independently trained. In a spirit of ensemble, we finally combine network outputs to compute the probability of a given ROI image for determining the identity. Based on various experiments, we confirm that the proposed ensemble method is effective for user verification with palmprints and palm veins.

The Effect of Department Satisfaction and Ego-Identity on College Life Adaptation (학과만족도와 자아정체감이 대학생활 적응에 미치는 영향)

  • Jang, Hyun-Jung;Lee, Yun Jeong
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.2
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    • pp.93-99
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    • 2019
  • The purpose of this study is to examines the factors influencing college students' adaptation to College life adaptation, and to investigate the relationship between relationship between variables and College life adaptation. Structured questionnaire was given on 210 freshman, and data was analyzed using SPSS/WIN 22.0. There was a significant correlation between College life adaptation and Department satisfaction (r = .216, p <.001) and Ego identity (r = 395, p <.001). As a result of the statistical significance of the model predicted to College life adaptation, the F statistic value is 12.222 and the significance probability is .000. Variables have significant explanations for college adjustment at a significance level of 0.1. College life adaptation is also explained by 44% variable. If we develop the adaptation program for college life considering variables, it is expected that it will have a positive effect on the improvement of adaptation ability of college students.

A Maximum A Posterior Probability based Multiuser Detection Method in Space based Constellation Network

  • Kenan, Zhang;Xingqian, Li;Kai, Ding;Li, Li
    • International Journal of Computer Science & Network Security
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    • v.22 no.12
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    • pp.51-56
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    • 2022
  • In space based constellation network, users are allowed to enter or leave the network arbitrarily. Hence, the number, identities and transmitted data of active users vary with time and have considerable impacts on the receiver's performance. The so-called problem of multiuser detection means identifying the identity of each active user and detecting the data transmitted by each active user. Traditional methods assume that the number of active users is equal to the maximum number of users that the network can hold. The model of traditional methods are simple and the performance are suboptimal. In this paper a Maximum A Posteriori Probability (MAP) based multiuser detection method is proposed. The proposed method models the activity state of users as Markov chain and transforms multiuser detection into searching optimal path in grid map with BCJR algorithm. Simulation results indicate that the proposed method obtains 2.6dB and 1dB Eb/N0 gains respectively when activity detection error rate and symbol error rate reach 10-3, comparing with reference methods.

Analysis and Selection of Microsatellites Markers for Individual Traceability System in Hanwoo (한우 생산이력제에 활용 가능한 Microsatellite의 분석과 선발)

  • Lim, H.T.;Min, H.S.;Moon, W.G.;Lee, J.B.;Kim, J.H.;Cho, I.C.;Lee, H.K.;Lee, Y.W.;Lee, J.G.;Jeon, J.T.
    • Journal of Animal Science and Technology
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    • v.47 no.4
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    • pp.491-500
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    • 2005
  • To test applicability to the Hanwoo traceability system, twenty microsatellite markers were selected and analyzed. MSA, CERVUS, FSTAT, GENEPOP, API_CALC and PHYLIP software was employed serially to estimate heterozygosity, polymorphic information content, F-statistics, identity probability, exclusion probability and genetic distance. Eleven microsatellite markers(TGLA53, TGLA227, ETH185, TGLA122, BM4305, INRA23, ILSTS013, BMS1747, BM2113, BL1009, and ETH3) were selected based on their high heterozygosity values. Identity probability using these markers is one hundred times higher than when using StockMakersTM of Applied Biosystems. This indicates the selected microsatellite markers are appropriate and effective for use in the Hanwoo traceability system. Additionally, estimates of DA genetic distance and pairwise-FST can be utilized to identify genetic relationships between adjacent farms.

Analysis of Probabilistic Limits of Trait Identity in Inter-Strain Comparison of Genomic Fingerprints of Bacteria (균주간 유전체 지문 비교분석에서 유전형질 일치성의 확률적 한계 분석)

  • Zo, Young-Gun
    • Korean Journal of Microbiology
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    • v.47 no.3
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    • pp.263-267
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    • 2011
  • Genomic fingerprinting methods are useful in determining relatedness among bacterial strains. However, random coincidences in sizes of two DNA fragments in two different fingerprints may occur, resulting in erroneous interpretation of relatedness between two bacterial genomes. In this study, I estimated the probability of occurrence of DNA bands of identical size in fingerprints of two unrelated genomes, so that the significance of fingerprint-based estimation of genome relatedness could be analyzed. The probability could be estimated as outputs of a function formulated with the three parameters: the numbers of observed fragments, all possible sizes of fragments and observed fragments common in a given pair of fingerprints. The parameter most instrumental to significance of relatedness estimation was the number of all possible sizes of fragments. To keep the number of coincidentally-common size of fragments below 10, about 200 fragments should be distinguishable in the fingerprints.