• 제목/요약/키워드: Chain-Weighted Method

검색결과 22건 처리시간 0.031초

기능적인 저항훈련이 운동이상형 뇌성마비 아동의 대동작과 균형능력에 미치는 영향 : 단일사례설계 (Effects of Functional Resistance Training on Gross Motor and Balance Abilities in Children with Dyskinetic Cerebral Palsy : Single Case Design)

  • 권해연
    • 대한통합의학회지
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    • 제4권3호
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    • pp.109-119
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    • 2016
  • Purpose : The purpose of this research is to find clinical effects of functional resistance training using weighted vest on gross motor and balance abilities of children with dyskinetic cerebral palsy. Methods : This study selects 3 subjects for 8~12 years old who were diagnosed with children with dyskinetic cerebral palsy. The Design is ABA design of single-subject research design. Baseline(A) and TypeII Baseline(A : 12weeks) phases were received with NDT treatment, Intervention(B : 12weeks) phase provided with 40 minute functional resistance training using weighted vest in a session twice a week. In order to analyze the measure results of gross motor function and performance, balance abilities in children dyskinetic cerebral palsy during baseline, intervention and typeII baseline phase. Result : A statistically significant differences in the total GMFM including walking/running/jumping during baseline, intervention, typeII baseline, but no significant differences in the lying/rolling, sitting, crawling/kneeling and standing. A statistically significant differences in the total GMPM including dissociated movement, coordination, weight shift, stability during baseline, intervention, typeII baseline, but no significant differences in the body alignment domains. A statistically significant differences in the length and surface area ellipse of center of pressure during baseline, intervention, typeII baseline. Conclusion : The intervention method to facilitate multi-joint and closed kinematic chain movement equipped weighted vest applied functional resistance training on children with dyskinetic cerebral palsy effectively improve on gross motor function and performance, balance abilities.

혼합분포모형의 매개변수 추정방법 비교 (Comparison of Three Parameter Estimation Methods for Mixture Distributions)

  • 신주영;김수영;김태림;허준행
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2017년도 학술발표회
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    • pp.45-45
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    • 2017
  • 상이한 자연현상으로 발생된 자료들은 때때로 통계적으로 다른 특성을 가지는 경우가 있다. 이런 자료들은 다른 두 개 이상의 모집단에서 자료가 발생한 것으로 가정할 수 가 있다. 기존에 널리 사용되어온 분포형 모형의 경우 단일한 모집단으로부터 자료가 발생한다는 가정하에서 개발된 모형들로 위에서 언급한 자료들을 적절히 모의할 수 없다. 이런 상이한 모집단에서 발생된 자료를 모형화 하기 위해서 혼합분포모형(mixture distribution)이 개발되었다. 홍수나 가뭄 등과 같은 극치 사상의 경우 다양한 자연현상들로부터 발생하기에 혼합분포모형을 적용할 경우 보다 정확한 모의가 가능하다. 혼합분포모형은 두 개 이상의 비혼합분포모형들을 가중합하여 만들어진다. 혼합 분포모형의 형태로 인하여 기존의 분포형 모형의 매개변수 추정 모형으로 널리 사용되던 최우도법 (maximum likelihood method), 모멘트법(method of moment), 확률가중모멘트법 (probability weighted moment method) 등을 이용하여 혼합분포모형의 매개변수를 추정하는 것이 용이 하지 않다. 혼합분포모형의 매개변수 추정 방법으로는 Expectation-Maximization (EM) 알고리즘, Meta-Heuristic Maximum Likelihood (MHML) 방법, Markov Chain Monte Carlo (MCMC) 방법 등이 적용되고 있다. 현재까지 수자원 분야에서 사용되는 극치 자료를 혼합분포모형을 이용하여 모의할 때 매개변수 추정방법에 따른 특성에 대한 연구가 진행되지 않았다. 본 연구에서는 우리나라 연최대강우량 자료를 이용하여 혼합분포모형의 매개변수 추정방법 (EM 알고리즘, MHML 방법, MCMC 방법) 들의 특성들을 비교 분석하였다. 혼합분포모형으로는 Gumbel-Gumbel 혼합분포 모형을 적용하였다. 본 연구의 결과는 향후 혼합분포모형을 이용한 연구에 좋은 기초자료로 사용될 수 있을 것으로 판단된다.

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A refinement and abstraction method of the SPZN formal model for intelligent networked vehicles systems

  • Yang Liu;Yingqi Fan;Ling Zhao;Bo Mi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제18권1호
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    • pp.64-88
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    • 2024
  • Security and reliability are the utmost importance facts in intelligent networked vehicles. Stochastic Petri Net and Z (SPZN) as an excellent formal verification tool for modeling concurrent systems, can effectively handles concurrent operations within a system, establishes relationships among components, and conducts verification and reasoning to ensure the system's safety and reliability in practical applications. However, the application of a system with numerous nodes to Petri Net often leads to the issue of state explosion. To tackle these challenges, a refinement and abstraction method based on SPZN is proposed in this paper. This approach can not only refine and abstract the Stochastic Petri Net but also establish a corresponding relationship with the Z language. In determining the implementation rate of transitions in Stochastic Petri Net, we employ the interval average and weighted average method, which significantly reduces the time and space complexity compared to alternative techniques and is suitable for expert systems at various levels. This reduction facilitates subsequent comprehensive system analysis and module analysis. Furthermore, by analyzing the properties of Markov Chain isomorphism in the case study, recommendations for minimizing system risks in the application of intelligent parking within the intelligent networked vehicle system can be put forward.

식품산업체가 겪는 위기의 분류와 위기 수준 판단 (Classification of Food Safety Crises and Standard Setting for Crisis Level in Food Industry)

  • 김종규;김중순
    • 한국환경보건학회지
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    • 제41권2호
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    • pp.133-145
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    • 2015
  • Objectives: Food safety has become one of the major public-concerning issues in Korea. In order to set guidelines to create manuals for the response to a food safety crisis by food industry, this paper classified food safety crises and suggested techniques to determine crisis level. Methods: This study clarified common terminologies and definitions including in food safety crises. It reviewed various food safety crises and described characteristics, types, and states of crises. Results: The results of this study suggested that a food safety crisis implied a situation in which hazards/risk spreading in the food supply chain was widely described, causing strong public concern followed by a socioeconomic impact, and therefore, requiring the implementation of a prompt and full response regarding the situation. In terms of seeking response plans, food safety crises might be classified according to the penalties resulting from violations of laws and regulations, causative substances, stages of the food supply chain, and first contact point for incidents. The crisis level for a food safety crisis could be classified according to its severity parameters. The guideline matrix was divided into four major stages: Blue/guarded, Yellow/elevated, Orange/high, and Red/severe. This study also suggested several methods for determining the crisis level, such as the simple judgement method, scoring methods using a check-list and a weighted check-list. Conclusion: The severity of related parameters might be of great importance in understanding a crisis and determining response options/challenges for crisis levels.

RFID 태그 데이타 색인의 질의 성능 향상을 위한 불균형 삽입 정책 (Disproportional Insertion Policy for Improving Query Performance in RFID Tag Data Indices)

  • 김기홍;홍봉희;안성우
    • 한국정보과학회논문지:데이타베이스
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    • 제35권5호
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    • pp.432-446
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    • 2008
  • RFID 기술을 기반으로 한 자동화 제조, 재고 관리, 공급망 관리와 같은 응용에서 RFID 태그를 부착한 객체의 위치를 추적하는 질의는 가장 중요한 요구사항 중의 하나이다. 태그의 위치추적 질의를 지원하기 위해서 기존의 연구에서는 태그 아이디, 리더 아이디, 시간을 도메인으로 하는 색인을 제시하고 있으며 이는 이동체 색인을 기반으로 한다. 이동체 색인에서와 달리 RFE 태그를 위한 색인의 도메인은 도메인간의 크기 차이가 매우 크며 질의 영역이 차지하는 크기의 비율이 리더 아이디 도메인에 편중되는 특징이 있다. 그러나, 기존의 RFB 태그를 위한 색인에서는 이동체 색인과는 다른 도메인의 특징을 고려하지 않음으로써 질의 영역과 색인 노드간의 불필요한 겹침을 유발시키며 이로 인해 태그 객체 검색 시 많은 노드 접근이 발생하게 되는 문제점이 있다. 본 논문에서는 이러한 문제점을 해결하기 위해 R*-tree를 기반으로 한 RFID 태그 데이타 색인의 불균형 삽입정책과 분할 정책을 제안한다. 제안된 방법은 각 도메인의 가중치와 노드의 가장자리 정보를 사용하여 가중치가 적용된 가장자리 값을 구한다. 데이타를 삽입할 때 이를 사용함으로써 데이타가 삽입될 하위트리를 선택하며 노드 분할 방법을 선택한다. 제안된 불균형 삽입 정책은 질의 영역과 MBR 간의 겹침을 줄임으로써 영역질의 수행 시 노드 접근 비용을 감소시켜 준다. 실험 결과 이 논문에서 제안된 불균형 삽입 정책을 적용한 색인은 기존의 삽입 정책을 사용하는 색인에 비하여 우수한 질의 성능을 보여줌을 확인할 수 있다.

마코프 체인과 객체 판독키를 적용한 범죄 예측 확률지도 생성 기법 연구 (A Study on Generation Methodology of Crime Prediction Probability Map by using the Markov Chains and Object Interpretation Keys)

  • 노찬숙;김동현
    • 한국컴퓨터정보학회논문지
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    • 제17권11호
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    • pp.107-116
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    • 2012
  • 본 논문에서는 과거 발생했던 범죄 빈도수가 적용된 해당 지역의 도시 공간 정보를 구성하고 있는 객체를 바탕으로 육안으로 판별이 가능한 특징들을 판독키로 정하고, 위험도를 계량화하였으며, 미래 예측 기법인 마코프 체인 방식을 적용하여 래스터 형태의 위험도 확률지도를 생성하는 기법을 제안한다. 이때 객체 판독키는 일정 크기의 셀로 나누어 셀에 해당하는 계량화된 위험지수를 적용하고, 여러 계층의 범죄 예측 확률지도를 통합하여 통합된 위험도 확률지도를 생성한다. 이는 정적인 정보가 아닌 시간에 따라 위험도 확률지도가 변화될 수 있고, 객체 판독키의 추가 적용에 따라 달라질 수 있는 위험도 확률지도를 생성하여 범죄의 예방에 적용될 수 있는 모델 구성 방법을 제시한 것으로, 순찰 경로 및 감시 장비의 최적 배치에 활용될 수 있을 것이다.

Genetic Diversity and Phylogenetic Relationships among Microsporidian Isolates from the Indian Tasar Silkworm, Antheraea mylitta, as Revealed by RAPD Fingerprinting Technique

  • Hassan, Wazid;Nath, B. Surendra
    • International Journal of Industrial Entomology and Biomaterials
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    • 제29권2호
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    • pp.169-178
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    • 2014
  • In this study, we investigated genetic diversity of 22 microsporidian isolates infecting tropical tasar silkworm, Antheraea mylitta collected from various geographical forest locations in the state of Jharkhand, India, using polymerase chain reaction (PCR)-based marker assay: random amplified polymorphic DNA (RAPD). A type species, NIK-1s_mys was used as control for comparison. The shape of mature microsporidians was found to be oval to elongate, measuring 3.80 to $5.10{\mu}m$ in length and 2.56 to $3.30{\mu}m$ in width. Of the 20 RAPD primers screened, 16 primers generated reproducible profiles with 298 polymorphic fragments displaying high degree of polymorphism (97%). A total of 14 RAPD primers produced 45 unique putative genetic markers, which were used to differentiate the microsporidians. Calculation of genetic distance coefficients based on dice coefficient method and clustering with un-weighted pair group method using arithmetic average (UPGMA) analysis was conducted to unravel the genetic diversity of microsporidians infecting tasar silkworm. The similarity coefficients varied from 0.059 to 0.980. UPGMA analysis generated a dendrogram with four microsporidian groups, which appear to be different from each other as well as from NIK-1s_mys. Two-dimensional distribution based on Euclidean distance matrix also revealed considerable variability among different microsporidians identified from the tasar silkworms. Clustering of few microsporidian isolates was in accordance with the geographic origin. The results indicate that the RAPD profiles and specific/unique genetic markers can be used for differentiating as well as to identify different microsporidians with considerable accuracy.

동위원소 희석 HPLC/MS에 의한 혈청 내 urea의 정량 (Quantification of urea in serum by isotope dilution HPLC/MS)

  • 이화심;박상열
    • 분석과학
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    • 제18권4호
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    • pp.271-277
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    • 2005
  • 혈액 내 urea는 임상진단 시 신장 기능을 판단하는 중요한 표지물질로서 측정되고 있다. 단백질 등 질소화합물의 최종 대사물인 urea는 콩팥의 사구체에서 걸러져 소변으로 배출되는데, 사구체의 거르는 능력이 저하되면 결국 혈액 속의 urea 농도가 증가하게 되어 신장 기능의 정상여부를 판단할 수 있게 된다. 이러한 임상진단 결과의 신뢰성 향상을 위해서는 측정결과가 일차분석법으로 인증된 인증표준 물질과 소급성 고리를 유지해야 한다. 본 연구에서는 혈청 내 urea의 일차분석법으로서 $15^N_2$-urea를 내부 표준물질로 사용하는 동위원소희석 액체크로마토그라피-질량분석법 (ID-HPLC/MS)을 개발하였다. 이 방법은 측정원리상 고도의 정확성이 확보될 뿐 아니라 별도의 유도체화가 필요 없기 때문에 빠르고 편리하다. $C_{18}$-분리관에 0.1 mmol/L $NH_4Cl$ buffer를 이동상으로 사용하여 urea를 분리하였는데, 이 완충용액은 비교적 분자량이 작은 urea를 질량분석하는데 방해가 크지 않은 장점이 있다. HPLC와 질량분석기의 인터페이스로서 positive mode의 electrospray ionization (ESI)를 사용하여 높은 감도와 재현성을 성취하였다. 국제적으로 인정된 인증표준물질의 분석을 통해 최적화된 방법의 유효성을 확인하였으며, 국제비교시험에도 참여하여 좋은 결과를 얻었다. ISO guide에 따라 불확도를 계산하였으며, 확장 불확도는 95% 신뢰도에서 약 1.8%로 나타났다. 이 분석법은 표준연에서 개발 중인 혈청인증표준물질을 인증하는 일차기준측정절차로도 사용되고 있다.

Genetic Contribution of Indigenous Yakutian Cattle to Two Hybrid Populations, Revealed by Microsatellite Variation

  • Li, M.H.;Nogovitsina, E.;Ivanova, Z.;Erhardt, G.;Vilkki, J.;Popov, R.;Ammosov, I.;Kiselyova, T.;Kantanen, J.
    • Asian-Australasian Journal of Animal Sciences
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    • 제18권5호
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    • pp.613-619
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    • 2005
  • Indigenous Yakutian cattle' adaptation to the hardest subarctic conditions makes them a valuable genetic resource for cattle breeding in the Siberian area. Since early last century, crossbreeding between native Yakutian cattle and imported Simmental and Kholmogory breeds has been widely adopted. In this study, variations at 22 polymorphic microsatellite loci in 5 populations of Yakutian, Kholmogory, Simmental, Yakutian-Kholmogory and Yakutian-Simmental cattle were analysed to estimate the genetic contribution of Yakutian cattle to the two hybrid populations. Three statistical approaches were used: the weighted least-squares (WLS) method which considers all allele frequencies; a recently developed implementation of a Markov chain Monte Carlo (MCMC) method called likelihood-based estimation of admixture (LEA); and a model-based Bayesian admixture analysis method (STRUCTURE). At population-level admixture analyses, the estimate based on the LEA was consistent with that obtained by the WLS method. Both methods showed that the genetic contribution of the indigenous Yakutian cattle in Yakutian-Kholmogory was small (9.6% by the LEA and 14.2% by the WLS method). In the Yakutian-Simmental population, the genetic contribution of the indigenous Yakutian cattle was considerably higher (62.8% by the LEA and 56.9% by the WLS method). Individual-level admixture analyses using STRUCTURE proved to be more informative than the multidimensional scaling analysis (MDSA) based on individual-based genetic distances. Of the 9 Yakutian-Simmental animals studied, 8 showed admixed origin, whereas of the 14 studied Yakutian-Kholmogory animals only 2 showed Yakutian ancestry (>5%). The mean posterior distributions of individual admixture coefficient (q) varied greatly among the samples in both hybrid populations. This study revealed a minor existing contribution of the Yakutian cattle in the Yakutian-Kholmogory hybrid population, but in the Yakutian-Simmental hybrid population, a major genetic contribution of the Yakutian cattle was seen. The results reflect the different crossbreeding patterns used in the development of the two hybrid populations. Additionally, molecular evidence for differences among individual admixture proportions was seen in both hybrid populations, resulting from the stochastic process in crossing over generations.

변형확률모델을 활용한 소매업의 상권분석 방안에 관한 연구 (A Study on Trade Area Analysis with the Use of Modified Probability Model)

  • 진창범;윤명길
    • 유통과학연구
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    • 제15권6호
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    • pp.77-96
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    • 2017
  • Purpose - This study aims to develop correspondence strategies to the environment change in domestic retail store types. Recently, new types of retails have emerged in retail industries. Therefore, trade area platform has developed focusing on the speed of data, no longer trade area from district border. Besides, 'trade area smart' brings about change in retail types with the development of giga internet. Thus, context shopping is changing the way of consumers' purchase pattern through data capture, technology capability, and algorithm development. For these reasons, the sales estimation model has been shown to be flawed using the notion of former scale and time, and it is necessary to construct a new model. Research design, data, and methodology - This study focuses on measuring retail change in large multi-shopping mall for the outlook for retail industry and competition for trade area with the theoretical background understanding of retail store types and overall domestic retail conditions. The competition among retail store types are strong, whereas the borders among them are fading. There is a greater need to analyze on a new model because sales expectation can be hard to get with business area competition. For comprehensive research, therefore, the research method based on the statistical analysis was excluded, and field survey and literature investigation method were used to identify problems and propose an alternative. In research material, research fidelity has improved with complementing research data related with retail specialists' as well as department stores. Results - This study analyzed trade area survival and its pattern through sales estimation and empirical studies on trade areas. The sales estimation, based on Huff model system, counts the number of households shopping absorption expectation from trade areas. Based on the results, this paper estimated sales scale, and then deducted modified probability model. Conclusions - In times of retail store chain destruction and off-line store reorganization, modified Huff model has problems in estimating sales. Transformation probability model, supplemented by the existing problems, was analyzed to be more effective in competitiveness business condition. This study offers a viable alternative to figure out related trade areas' sale estimation by reconstructing new-modified probability model. As a result, the future task is to enlarge the borders from IT infrastructure with data and evidence based business into DT infrastructure.