• 제목/요약/키워드: Weight information

검색결과 4,549건 처리시간 0.036초

목화 (G. hirsulum L.)의 삭 형질에 대한 조합능력과 유전분석 (Combining Ability and Genetic Analysis of Boll Characters in Cotton(G. Hirsulum L))

  • 박규환;어진수;최주호;백인열
    • 생명과학회지
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    • 제10권4호
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    • pp.317-325
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    • 2000
  • A six parent dialled analysis was conducted to get basic information for improving yield of upland cotton. Heterosis, combining ability, genetic components and correlation coefficients for boll length, boll width, boll weight, 100 seed weight, lint weigth per boll and lint percentage were studied. Estimates of heterosis for all characters and heterobeltiosis for boll weight and lint weight per boll showed positive values. In general combining ability effect, 'Muan' and 'Imsung' showed highely positive effect in all characters. In specific combining ability effect, the combinations of 'Seungju${\times}$Imsung$.$Seosan${\times}$Imsung' for bll length, 'Cheju${\times}$Imsung$.$Seung${\times}$Imsung' for boll width, 'Cheju${\times}$Muan$.$Cheju${\times}$Imsung' for boll weight, 'Cheju${\times}$Soonchun$.$Muan${\times}$Imsung' for 100 seed weight, 'Soonchun${\times}$Muan' for lint weight per boll and 'Soonchun${\times}$Seosan$.$Seungju${\times}$Muan' for lint percentage showed highly positive effect. Partial dominance was observed for boll length, boll weight, 100 seed weight and lint weight per boll, complete dominance for boll width and overdominance for lint percentage. The number of effective gene group was estimated as one for all characters. The estimates of narrow and broad sense heritabilities were high for all characters except as one for all characters. The estimates of narrow and broad sense heritabilities were high for all characters except lint percentage. Correlation coefficients among the boll length, boll width, boll weight, 100 seed weight and lint weight per boll were positive, whereas lint percentage was negatively correlated with other characters.

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전주 지역 여대생의 체중 조절에 대한 관심도 및 실행 행태에 관한 연구 (A Study on Weight Concerns and Their Control on Behavior in Female University Students Living in Jeonju)

  • 노정옥
    • 한국식품영양학회지
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    • 제20권3호
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    • pp.325-333
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    • 2007
  • This study was conducted to investigate the weight concerns of female university students living in Jeonju, as well as their control on behavior. Self-administered questionnaires were collected from 285 students. Statistical data analysis was completed using the SPSS v. 11.0 program. The results are summarized as follows: The average weight, height, and BMI of the subjects were 21.43 kg, 161.93 cm, and 19.8, respectively. With regard to body image, most were dissatisfied with their figures, especially the hips and thighs. About 42% of the students estimated their figures as 'slightly fat', while 5.4% stated 'very fat', even though their BMI classified as 'normal'. Four percent of the underweight students described themselves as being 'fatty'. Approximately 93% of the students had strongly pursued weight control, and 45.3% reported wanting to lose about $2{\sim}5$ kg. Almost 73% of the respondents had weight loss experience. The primary reason for weight control was to improve self-confidence. Only 19.6% had succeeded in losing weight, while nearly 48% had stopped dieting. To reduce weight, about two thirds of the students ate less(e.g. no snacks, no sweets). Fifty percent tried to reduce weight by more physical activity(e.g. sports). Television(50.9%), friends(48.4%), and newspapers/magazines(40.4%) were essential sources of pertinent information. In conclusion, the results show that female students in Jeonju have a great interest in weight reduction. Thus, the majority are willing to try several methods for weight reduction, which however, are not promising and not based on a lasting nutritional change. Therefore, it's necessary to increase cooperation among those concerned(e.g. dietitians, teachers, parents, media) and to develop weight-control programs that take into consideration lifestyle and daily habits, as well as combine physical activity, nutrition, and behavioral and personality training.

XML 링크정보를 이용한 정보 검색 색인 기법의 설계 (Design of an Information Retrieval Indexing Method using XML Links)

  • 김은정;배종민
    • 한국정보처리학회논문지
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    • 제7권7호
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    • pp.2020-2027
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    • 2000
  • The hypertext document is used for information exchange in the Web environments. Its structure is considered as having graph structures with links, which makes nonlinear processing of documents possible. This paper proposes an indexing method for information retrieval system using XML links. We define new attributes that control links of a remote document and assign an unique identifier for the attribute of each link. Each identifier has a different weight according to its occurrence position that is local or remote documents. We index a word not only from a local document but a remote document based on the given weight. Experimental results show that the proposed method outperforms conventional retrieval systems that ignore links.

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A Modified MMSE Algorithm for Adaptive Antennas in OFDM/CDMA Systems

  • Su, Pham-Van;Tuan, Le-Minh;Kim, Jewoo;Giwan Yoon
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2002년도 춘계종합학술대회
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    • pp.509-513
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    • 2002
  • This paper presents a semi-blind Minimum Mean Square Error (MMSE) beamforming adaptive algorithm used far OFDM/CDMA combined system. The proposed algorithm exploits the transmitting pilot signal in the initial period of the transmission to update the weight vector. Then it applies the blind adaptive period to update the weight vector, in which the pilot signal is no longer used. The derivation of the algorithm based on the Mean Square Error (MSE) criterion is also presented. Computer simulation is carried out to verify the performance of the proposed approach.

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가변적 output layer틀 이용한 LVQ 기반 물체 분류 (Object Classification Based OR LVQ With Flexible Output layer)

  • 김헌기;조성원;김재민;이진형;김석호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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    • pp.407-408
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    • 2007
  • In this paper, we present a new method for classifying object using LVQ (Learning Vector Quantization) with flexible output layer. The proposed LVQ is a supervised learning method that dynamically generates output neurons and initializes automatically the weight vectors from training patterns. If the classes of the nearest output neuron is different from the class of the training pattern, a new output neuron is created and the given training pattern is used to initialize the weight vector of the created neuron. The proposed method is significantly different from the previous competitive learning algorithms in the point that the output neurons are dynamically generated during the learning process.

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무게 센서를 이용한 약 먹는 시간 알람기 (Medicine-taking time alarm using weight sensor)

  • 김선옥;김태균;권은진
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2021년도 제63차 동계학술대회논문집 29권1호
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    • pp.165-167
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    • 2021
  • 본 논문은 노약자와 장애인의 편의를 도모하기 위하여 주기적으로 약을 복용해야하는 시간을 알려주는 시스템이다. 무게 센서를 사용하여 7일간 복용해야 하는 알약들의 전체 무게를 측정하고, 사용자가 알약을 복용하면 줄어든 알약의 무게를 다시 측정하여 복용 여부를 판단하는 시스템이다. 또한 알약을 복용하지 않은 사용자에게 이를 알려주기 위해 설정된 특정 시간에 다시 알려주는 작업을 수행하도록 구성하였다. 본 논문에서는 시뮬레이션을 통하여 이와 같은 시스템의 작업 수행 과정을 세분화하여 보여줌으로써 사용자들이 잊지 않고 약을 복용하는 것을 도와주고자 한다.

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가중치를 이용한 채용 정보 검색의 정확성 평가 (Accuracy Evaluation of Weighted Recruiting Information Search Result)

  • 김형래;정경희;전도홍
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2008년도 춘계학술발표대회
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    • pp.463-466
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    • 2008
  • 취업 정보 시스템에서의 인재정보 및 채용정보의 검색결과에서 원하는 일자리와 인재를 빠른 시간내에 검색하는 문제는 사용자 만족도에 밀접한 영향을 미치는 중요한 요소 중의 하나라고 할 것이다. 본 연구에서는 키워드를 이용하여 채용정보를 검색할 경우 채용정보 항목에 가중치 값을 적용했을 때의 정확도를 판단하기 위한 정량적 평가의 효과성을 검토한다. 채용정보 항목에 가중치 값을 적용했을 경우와 적용하지 않았을 경우의 채용검색 결과를 취업정보 시스템 관련 담당자를 대상으로 관련성 점수를 5점 척도로 평가한다. 실험결과, 채용정보 항목에 가중치를 적용하였을 때 관련 정확도 평가값이 더 높았으며, 상위 20개의 검색결과 평가값을 순위에 따라 정확성 추이를 살펴본 결과 순위가 높을수록 더 높은 정확성을 보였다.

Automating Configuration System and Protocol for Next-Generation Home Appliances

  • Lee, Eun-Seo;Lee, Hark-Jin;Lee, Kwangil;Park, Jun-Hee
    • ETRI Journal
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    • 제35권6호
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    • pp.1094-1104
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    • 2013
  • Home appliance manufacturers have recently been trying to provide smart products capable of various Internet services. For example, one health care manufacturer provides a Wi-Fi-capable scale. Once users register their information with the manufacturer's server, their weight and body fat records are automatically uploaded to the server whenever they measure their weight. The users can then watch and check their weight log easily using a smart device, such as a smartphone or tablet. One of the biggest problems, however, is that the initial configuration of the appliances and the user registration process may be quite complicated to typical users who are unfamiliar with such IT devices. This paper proposes an autoconfiguration system structure and protocol for Internet-capable home appliances, which supports the initial configuration and remote maintenance service of the device with only little user effort. Manufacturers can develop their own information appliances and provide differentiated services using the proposed system and protocol.

Determination and application of the weights for landslide susceptibility mapping using an artificial neural network

  • Lee, Moung-Jin;Won, Joong-Sun;Yu, Young-Tae
    • 한국GIS학회:학술대회논문집
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    • 한국GIS학회 2003년도 공동 춘계학술대회 논문집
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    • pp.71-76
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    • 2003
  • The purpose of this study is the development, application and assessment of probability and artificial neural network methods for assessing landslide susceptibility in a chosen study area. As the basic analysis tool, a Geographic Information System (GIS) was used for spatial data management. A probability method was used for calculating the rating of the relative importance of each factor class to landslide occurrence, For calculating the weight of the relative importance of each factor to landslide occurrence, an artificial neural network method was developed. Using these methods, the landslide susceptibility index was calculated using the rating and weight, and a landslide susceptibility map was produced using the index. The results of the landslide susceptibility analysis, with and without weights, were confirmed from comparison with the landslide location data. The comparison result with weighting was better than the results without weighting. The calculated weight and rating can be used to landslide susceptibility mapping.

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경기도 양주시 초등학생의 비만도에 따른 식습관 조사 연구 (The Study of Food Habits according to Obesity Index in Elementary School Children .in Yangju City, Kyeong-gi Province)

  • 남정혜;이미영
    • 한국식품영양학회지
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    • 제19권2호
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    • pp.153-160
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    • 2006
  • This study investigated the food habits of the elementary school children according to obesity index. The subjects included 1,307 elementary school children classified into four groups according to their individual obesity indices: underweight, normal weight, overweight, and obesity. The distribution of subjects by BMI was 51.5% underweight, 32.9% normal weight, 7.3% overweight, and 8.3% obese. Of these children, 62.6% ate breakfast everyday, and common weight control methods were exercise and diet. Lack of appetite was the most common reason for skipping breakfast(75.3%). Most students(74.7%) had Korean traditional cooked rice and side dishes for breakfast, and 69.6% of students responded that their meal speed was $10{\sim}30$ minutes. In conclusion, the food habits influencing obesity were eating speed, snack intake after dinner, and the number of snacks, while the size of meals did not influence obesity.