• 제목/요약/키워드: Pairings

검색결과 66건 처리시간 0.03초

개선된 원 라운드 인증 그룹 키 합의 프로토콜 (An Improved One Round Authenticated Group Key Agreement)

  • 김호희;김순자
    • 정보보호학회논문지
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    • 제23권1호
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    • pp.3-10
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    • 2013
  • 많은 인증 키 합의 프로토콜이 제안되어 왔다. 여전히 안전한 인증키 합의 프로토콜을 설계하는 것이 이슈화되고 있다. 이 논문에서는, 전형적인 ID 기반의 암호화 시스템의 공개키와 개인키 뿐 아니라 하나 더 많은 공개키와 개인키를 사용하는 원 라운드 인증 그룹키 합의 프로토콜을 제안한다. 제안된 프로토콜은 Shi et al. 프로토콜과 He et al. 프로토콜을 수정 보완하였다. 제안된 프로토콜의 공개키 개인키와 서명 과정은 그들의 프로토콜보다 단순하다. 제안한 프로토콜은 안전하며, 통신과 계산 비용 면에서 그들의 프로토콜보다 더 효율적이다.

두개안면골격의 유전성에 관한 측모두부방사선 계측학적 연구 (A Cephalometric Study on the Inheritance of Craniofacial Complex)

  • 김중한;이동주
    • 대한치과교정학회지
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    • 제16권2호
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    • pp.69-80
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    • 1986
  • This study was undertaken to investigate the inheritance in craniofacial complex among Korean familial members. The subjects were 160 lateral cephalometric radiographs from 45 families. Standard product-moment correlation coefficients(r) were calculated for the measurements between the familial pairings. Further, coefficients of $determination(r^2)$ were calculated and multiple regression analyses were performed to assess the use of parents' record for predicting an offspring's craniofacial features. The following results were obtained. 1. First-degree relatives had a high level of significant correlations which were compatible with a polygenic theory of inheritance than those of non-relatives. 2. Mother-daughter pair had the highest significant correlations, then mother-son and father-son pairs, and, finally, father-daughter pair had the lowest significant correlations. 3. The genetic influence was higher in anterior cranial base length and genial angle. In contrast, the environmental influence was higher in posterior border of ramus, maxillary ant. teeth, maxillary & mandibular apical bases and Gla-P. occ. 4. The predictability of offspring's cranio-facial growth could be improved by using multiple measurements from both parents than those from father or mother only.

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Systematic network analysis of herb formula in Traditional East Asian Medicine discloses synergistic operation of medicinal herb pairs with statistical significance

  • Lee, Jungsul;Jeon, Jongwook;Choi, Chulhee
    • 셀메드
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    • 제5권2호
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    • pp.11.1-11.5
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    • 2015
  • Traditional East Asian Medicine (TEAM) prescriptions typically consist of several herbs based on the assumption that the herbs operate synergistically and/or cooperate on several related pathways simultaneously. This is a general concept that is widely accepted in TEAM, but it has not been tested systematically. To check this assumption statistically, we have text mined traditional Korean medicine text the Inje-ji(仁濟志, Collections of benevolent savings), a text that contains more than 5000 herb-cocktail prescriptions. We created herb-pairing network based on herb-herb pairing specificity and performed a systematic network analysis. Herbs were shown to be used selectively with other herbs and not randomly. Moreover, herb pairs were more specifically associated with symptoms than were single herbs. Single herbs and combinations of herbs specifically used for diabetes mellitus were successfully identified. As conclusion, herb-pairings in TEAM are not randomly constructed; instead, each herb was selectively used with other herbs. In terms of statistical significance, herb pairs were more specifically associated with symptoms than were single herbs alone. Collectively, these results suggest that it may be important to understand the interactions among multiple ingredients contained in herb pairs rather than trying to identify a single compound to resolve symptoms.

수도권 지역 외식업계 종사자의 약주 및 동반 음식에 대한 인식 조사 (Perception of Korean Rice Wine and Food Pairings among Foodservice Employees in Seoul Metropolitan Area)

  • 진현희;이승주
    • 동아시아식생활학회지
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    • 제24권3호
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    • pp.283-290
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    • 2014
  • The present study was performed to obtain data that could be used to popularize yakju(Korean traditional rice wine) by surveying how well rice wine goes with pairing foods. The survey was given to 302 men and women living in the Seoul and Gyunggi areas and work in the food service industry. The Jeon group, Gui group, Jeongol and Jjigae group, Pyeonyuk and Bossam group, and Muchim group were selected as menu items that go well with available rice wines. The survey aimed to identify foods that go well with four rice wines with different sensory characteristics. The survey results showed that both men and women replied that rice wines with Nuruk aroma and Nuruk taste go well with the Jeon group, rice wines with sour and flower aromas and common characteristics go well with the Muchim group, and rice wines with sweet and fruit tastes go well with the Muchim group. However, men and women had different opinions on rice wines having ginseng, soil, and herbal medicine aromas. Men replied that such rice wines go well with grilled meat, whereas women replied that these rice wines go well with Pyeonyuk and Bossan groups.

한국산 벼멸구 생태형의 염색체 변이 (Chromosomal Variation among Brown Planthopper, Nilaparvata lugens (Stal), Biotypes in Korea)

  • 고현관
    • 한국응용곤충학회지
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    • 제31권4호
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    • pp.366-370
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    • 1992
  • 벼멸구 수컷 정소에서 염색체의 변이정도를 생태형 별로 관찰하였다. 세포 분열 지수는 생태형 3에서 가장 높았고 그 다음으로 생태형 1, 생태형 2이었다. Agmatoploidy, aneuploidy, 성염색체의 loose pairings과 같은 염색체의 구조적 변화는 생태형 1, 생태형 2, 생태형 3순으로 높았다. 감수분열 제1분열기 중기는 성염색체가 상염색체로부터 현격하게 분리되어 있는 세포의 수는 생태형 2에서 가장 높았다.

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The Effect of Gesture-Command Pairing Condition on Learnability when Interacting with TV

  • Jo, Chun-Ik;Lim, Ji-Hyoun;Park, Jun
    • 대한인간공학회지
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    • 제31권4호
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    • pp.525-531
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    • 2012
  • Objective: The aim of this study is to investigate learnability of gestures-commands pair when people use gestures to control a device. Background: In vision-based gesture recognition system, selecting gesture-command pairing is critical for its usability in learning. Subjective preference and its agreement score, used in previous study(Lim et al., 2012) was used to group four gesture-command pairings. To quantify the learnability, two learning models, average time model and marginal time model, were used. Method: Two sets of eight gestures, total sixteen gestures were listed by agreement score and preference data. Fourteen participants divided into two groups, memorized each set of gesture-command pair and performed gesture. For a given command, time to recall the paired gesture was collected. Results: The average recall time for initial trials were differed by preference and agreement score as well as the learning rate R driven by the two learning models. Conclusion: Preference rate agreement score showed influence on learning of gesture-command pairs. Application: This study could be applied to any device considered to adopt gesture interaction system for device control.

Genetic Relationships among Typhula ishikariensis Varieties from Wisconsin

  • Chang, Seog-Won
    • Weed & Turfgrass Science
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    • 제4권2호
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    • pp.135-143
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    • 2015
  • Typhula ishikariensis Imai is a causal agent of Typhula snow mold, one of the most important turfgrass diseases in northern regions of the United States. Within Wisconsin isolates, there are three district groups clustered with known isolates of T. ishikariensis var. ishikariensis, var. canadensis and var. idahoensis as identified by RAPD markers. To further investigate the genetic relationship among these groups (varieties), monokaryon-monokaryon and dikaryon-monokaryon mating experiments were conducted. Mating types from var. ishikariensis, var. canadensis and var. idahoensis isolates were paired in all possible combinations. Pairings between var. canadensis and var. idahoensis were highly compatible, while no compatibility was detected between var. ishikariensis and either var. canadensis or var. idahoensis. These results indicate that var. ishikariensis is genetically separated from var. canadensis and var. idahoensis, whereas var. canadensis and var. idahoensis appeared to be genetically related to each other as a taxonomic unit. In the genetic relationship with the known biological species, var. ishikariensis and var. canadensis were genetically related to biological species I and II, respectively. However, var. idahoensis was not compatible with any of the biological species, suggesting that the pathogen may be in the process of biological speciation from var. canadensis.

${\alpha}{\beta}$ 필터 및 NNPDA 알고리즘을 이용한 차량용 레이더 표적 추적 시스템 설계 (An Automotive Radar Target Tracking System Design using ${\alpha}{\beta}$ Filter and NNPDA Algorithm)

  • 배준형;현유진;이종훈
    • 대한임베디드공학회논문지
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    • 제6권1호
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    • pp.16-24
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    • 2011
  • Automotive Radar Systems are currently under development for various applications to increase accuracy and reliability. The target tracking is most important in single or multiple target environments for accuracy. The tracking algorithm provides smoothed and predicted data for target position and velocity(Doppler). To this end, the fixed gain filter(${\alpha}{\beta}$ filter, ${\alpha}{\beta}{\gamma}$ filter) and dynamic filter(Kalman filter, Singer-Kalman filter, etc) are commonly used. Gating is used to decide whether an observation is assigned to an existing track or new track. Gating algorithms are normally based on computing a statistical error distance between an observation and prediction. The data association takes the observation-to-track pairings that satisfied gating and determines which observation-to-track assignment will actually be made. For data association, NNPDA(Nearest Neighbor Probabilistic Data Association) algorithm is proposed. In this paper, we designed a target tracking system developed for an Automotive Radar System. We show the experimental results of the 77GHz FMCW radar sensor on the roads. Four tracking algorithms(${\alpha}{\beta}$ filter, ${\alpha}{\beta}{\gamma}$ filter, 2nd order Kalman filter, Singer-Kalman filter) have been compared and analyzed to evaluate the performance in test scenario.

A Study of AI Impact on the Food Industry

  • Seong Soo CHA
    • 식품보건융합연구
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    • 제9권4호
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    • pp.19-23
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    • 2023
  • The integration of ChatGPT, an AI-powered language model, is causing a profound transformation within the food industry, impacting various domains. It offers novel capabilities in recipe creation, personalized dining, menu development, food safety, customer service, and culinary education. ChatGPT's vast culinary dataset analysis aids chefs in pushing flavor boundaries through innovative ingredient combinations. Its personalization potential caters to dietary preferences and cultural nuances, democratizing culinary knowledge. It functions as a virtual mentor, empowering enthusiasts to experiment creatively. For personalized dining, ChatGPT's language understanding enables customer interaction, dish recommendations based on preferences. In menu development, data-driven insights identify culinary trends, guiding chefs in crafting menus aligned with evolving tastes. It suggests inventive ingredient pairings, fostering innovation and inclusivity. AI-driven data analysis contributes to quality control, ensuring consistent taste and texture. Food writing and marketing benefit from ChatGPT's content generation, adapting to diverse strategies and consumer preferences. AI-powered chatbots revolutionize customer service, improving ordering experiences, and post-purchase engagement. In culinary education, ChatGPT acts as a virtual mentor, guiding learners through techniques and history. In food safety, data analysis prevents contamination and ensures compliance. Overall, ChatGPT reshapes the industry by uniting AI's analytics with culinary expertise, enhancing innovation, inclusivity, and efficiency in gastronomy.

VANET 환경을 위한 계층적 구조의 익명 인증 기술 (An Anonymous Authentication in the Hierarchy for VANET)

  • 배경진;이영경;김종현;이동훈
    • 정보보호학회논문지
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    • 제28권3호
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    • pp.563-577
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    • 2018
  • VANET(Vehicular Ad hoc Network)에서 안전한 통신을 지원하기 위해 차량 간 또는 차량과 기반 구조 사이에서 교환되는 메시지는 인증이 반드시 수행되어야 한다. 본 논문에서는 VANET 환경을 위한 계층적 구조의 익명 인증 시스템을 제안한다. 제안하는 시스템 모델은 계층적으로 비밀키를 발급하여 기존 시스템의 문제점인 PKG의 오버헤드를 줄여 실용성을 높인다. 또한 페어링을 사용하지 않고 설계된 효율적인 2레벨 계층적 ID 기반 서명(Two-Level Hierarchical Identity-Based Signature, TLHIBS) 기법을 제안한다. 제안하는 기법은 조건부 익명성을 만족하여 차량의 프라이버시를 보호하고, 일괄검증(batch verification)을 지원하여 다수의 서명을 효율적으로 검증할 수 있다. 마지막으로 기존의 VAENT 환경에서 ID 기반 서명 기법들의 안전성 증명이 잘못된 것과는 다르게 제안한 기법의 안전성은 이산 대수 문제(Discrete Logarithm Problem, DLP)에 리덕션되어 랜덤 오라클 모델(random oracle model)에서 증명된다.