• 제목/요약/키워드: Neighbor Frequency

검색결과 108건 처리시간 0.026초

청소년기 학생의 학교 근린환경 이용과 불건전 행동유형 (Relation between the School Neighborhood Environment and the Problematic behaviors of Adolescent)

  • 김윤자;박선희
    • 한국가정과교육학회지
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    • 제12권1호
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    • pp.11-20
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    • 2000
  • The purpose of this study was to investigate the correlations between the school neighorhood environment and adolescents’behaviors. A questionnare was distributed to 221 high school students from June 27. 1997 t해 July 16. 1997 in chonju. In this study SAS package was used. The statistical methods such as frequency. mean. analysis of variance. correlation analysis. multiple regression analysis and T-Test were applied. The result of this study were as follows. 1) The school neighborhood environment of B high school included much more problematic places than A high school in 20 minutes distance on foot. So B high school students visited problematic places more frequently than A high school students(p<.05). 2) Both of A high school students and B high school students didn’t be satisfied about the school neighborhood environment. The degree of satisfaction for school environment of A high school student was higher than that of B. (p<.001) The number of benefit facilities. the degree of cleanness, and the safety from automobiles positively influenced the satisfaction for school neighbor environment. while the number and visiting of harm facilities negatively in satisfaction. 3)The problematic behaviors of B high school students was higher than A high school students(p<.05)

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Mitochondrial DNA Variation and Genetic Relationships in Japanese and Korean Cattle

  • Sasazaki, S.;Odahara, S.;Hiura, C.;Mukai, F.;Mannen, H.
    • Asian-Australasian Journal of Animal Sciences
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    • 제19권10호
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    • pp.1394-1398
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    • 2006
  • The complete mtDNA D-loop regions of Japanese and Korean cattle were analyzed for their mtDNA variations and genetic relationships. Sequencing the 30 Higo substrain and 30 Tosa substrain of Japanese Brown, respectively 12 and 17 distinct Bos haplotypes were identified from 77 polymorphic nucleotide sites. In order to focus on the relationships among Japanese and Korean cattle, two types of phylogenetic tree were constructed using individual sequences; first, a neighbor-joining tree with all sequences and second, reduced median networks within each Japanese and Korean cattle group. The trees revealed that two major mtDNA haplotype groups, T3 and T4, were represented in Japanese and Korean cattle. The T4 haplogroup predominated in Japanese Black and Japanese Brown cattle (frequency of 43.3-66.7%), while the T3 haplogroup was predominant (83.3%) and T4 was represented only twice in the Korean cattle. The results suggested that the mitochondrial origins of Japanese Brown were Japanese ancient cattle as well as Japanese Black in despite of the considerable introgression of Korean and European cattle into Japanese Brown.

얼굴영상과 음성을 이용한 멀티모달 감정인식 (Multimodal Emotion Recognition using Face Image and Speech)

  • 이현구;김동주
    • 디지털산업정보학회논문지
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    • 제8권1호
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    • pp.29-40
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    • 2012
  • A challenging research issue that has been one of growing importance to those working in human-computer interaction are to endow a machine with an emotional intelligence. Thus, emotion recognition technology plays an important role in the research area of human-computer interaction, and it allows a more natural and more human-like communication between human and computer. In this paper, we propose the multimodal emotion recognition system using face and speech to improve recognition performance. The distance measurement of the face-based emotion recognition is calculated by 2D-PCA of MCS-LBP image and nearest neighbor classifier, and also the likelihood measurement is obtained by Gaussian mixture model algorithm based on pitch and mel-frequency cepstral coefficient features in speech-based emotion recognition. The individual matching scores obtained from face and speech are combined using a weighted-summation operation, and the fused-score is utilized to classify the human emotion. Through experimental results, the proposed method exhibits improved recognition accuracy of about 11.25% to 19.75% when compared to the most uni-modal approach. From these results, we confirmed that the proposed approach achieved a significant performance improvement and the proposed method was very effective.

Aroclor 1254 May Induce Common DNA Effects in Developing Paralichthys olivaceus Embryos and Larvae

  • Min, Eun Young;Kang, Ju Chan
    • Fisheries and Aquatic Sciences
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    • 제17권4호
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    • pp.461-469
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    • 2014
  • Polychlorinated biphenyls (PCBs) are persistent pollutants in aquatic environments, often causing the decline or disappearance of wild populations. In this study, we used a random amplified polymorphic DNA (RAPD) assay to evaluate the effects on the genomic DNA of olive flounder embryo and larval stages of exposure to Aroclor 1254 at concentrations of 1, 5, 10, 20, and $40{\mu}g/L$. We compared RAPD fingerprints of exposed and non-exposed samples. Polymorphisms were revealed as the presence and/or absence of DNA fragments between the two samples. A dose-dependent increase in the number of polymorphic bands was observed with Aroclor 1254 treatment. Also, RAPD profiles of animals exposed to Aroclor 1254 exhibited an increase in the frequency values (FV) compared to the control. A phenogram constructed using neighbor-joining method indicated that genomic template stability in developing embryo and larval stages was significantly affected at ${\geq}5{\mu}g/L$. This study suggested that DNA polymorphisms detected by RAPD analysis could be used as an investigative tool for environmental toxicology and as a useful biomarker in early life stages for the detection of potential genotoxicants.

특성함수 및 k-최근접이웃 알고리즘을 이용한 국악기 분류 (Classification of Korean Traditional Musical Instruments Using Feature Functions and k-nearest Neighbor Algorithm)

  • 김석호;곽경섭;김재천
    • 한국멀티미디어학회논문지
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    • 제9권3호
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    • pp.279-286
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    • 2006
  • 주파수 분포벡터를 이용한 분류방법을 국악기 분류 및 인식에 적용하였으며 분류에 사용되는 주파수 분포 벡터 중에서 리듬성분을 수치화한 평균피크값을 제안하였다. 대부분의 주파수 처리함수들은 주파수값의 평균, 통계적특성에 기반을 두고 있으며 국악기자동분류를 위해 신호의 평균, 분산, 영교차율, 균형주파수, 평균 피크값을 이용하여 실험하였다. 국악의 장르 구분을 위한 선행 연구로서 음악신호를 함수처리하고 k-최근접이웃 분류알고리즘을 적용하여 분류하였다. 기존의 주파수 분포벡터를 이용하여 발표되었던 서양음악의 분류 성공률 87%보다 향상된 94.44%의 성공률을 나타냈다.

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SSR 마커를 이용한 남아시아와 동남아시아 아마란스 자원의 유전적 다양성 비교 (Comparison of Genetic Diversity among Amaranth Accessions from South and Southeast Asia using SSR Markers)

  • 왕소강;박용진
    • 한국약용작물학회지
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    • 제21권3호
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    • pp.220-228
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    • 2013
  • This study was conducted to assess the genetic diversity and population structure of 70 amaranth accessions collected from South and Southeast Asia using 14 simple sequence repeat (SSR) markers. In total, 67 alleles were detected, with an average of 4.79 per locus. Rare alleles comprised a large portion (46.3%) of the detected alleles, and 29 unique alleles associated with rice accessions were also discovered. The mean major allele frequency (MAF), genetic diversity (GD) and polymorphic information content (PIC) of the 14 SSR loci were 0.77, 0.36, and 0.34, respectively. A model-based structural analysis revealed the presence of three subpopulations. The genetic relationships revealed by the neighbor-joining tree method were fairly consistent with the structure-based membership assignments for most of the accessions. All 70 accessions showed a clear relationship to each cluster without any admixtures. We observed a relatively low extent of genetic exchange within or among amaranth species from South and Southeast Asia. The genetic diversity results could be used to identify amaranth germplasms and so facilitate their use for crop improvement.

다중결합된 마이크로스트립 데이터 전송로 자태의 최적합성을 통한 누화 최소화 (Minimization of Crosstalk by Optimum Synthesis of Profiles of Multiple Coupled Data Transmission Lines on Microstrip)

  • 박의준
    • 전자공학회논문지D
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    • 제35D권12호
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    • pp.1-11
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    • 1998
  • 고속펄스 전송을 위한 다중결합된 마이크로스트립 신호버스에서 제일 근접한 선로상에 유기되는 누화피크치를 최소화시키기 위해 선로자태를 합성시키는 방법을 제안하였다. 평행하게 배열된 데이터버스에서 구동선로로부터의 누화에너지는 가장 근접한 선로에 거의 집중되므로 반사파 제어를 위한 최적화기법을 통해 선로간의 평균간격을 늘리는 방법을 채택하였다. 입출력 파형예측을 위해 일반화된 S-행렬 기법을 적용하였으며 선로간의 평균간격을 늘리기 위해 합성된 다양한 형태의 비일정선로의 누화특성을 비교 분석하였다. 그 결과 펄스가 갖는 주파수 범위내에서 스펙트럼을 고르게 반사시키게 하는, dip을 갖는 쳬비셰프형 테이퍼가 입출력 파형의 보전성에 큰 영향을 주지 않는 범위내에서 누화피크치를 최소로 함을 볼 수 있었다.

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머신러닝을 이용한 드론의 고장진단에 관한 연구 (Fault Diagnosis of Drone Using Machine Learning)

  • 박수현;도재석;최성대;허장욱
    • 한국기계가공학회지
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    • 제20권9호
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    • pp.28-34
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    • 2021
  • The Fourth Industrial Revolution has led to the development of drones for commercial and private applications. Therefore, the malfunction of drones has become a prominent problem. Failure mode and effect analysis was used in this study to analyze the primary cause of drone failure, and blade breakage was observed to have the highest frequency of failure. This was tested using a vibration sensor placed on drones along the breakage length of the blades. The data exhibited a significant increase in vibration within the drone body for blade fracture length. Principal component analysis was used to reduce the data dimension and classify the state with machine learning algorithms such as support vector machine, k-nearest neighbor, Gaussian naive Bayes, and random forest. The performance of machine learning was higher than 0.95 for the four algorithms in terms of accuracy, precision, recall, and f1-score. A follow-up study on failure prediction will be conducted based on the results of fault diagnosis.

Emotion Recognition in Arabic Speech from Saudi Dialect Corpus Using Machine Learning and Deep Learning Algorithms

  • Hanaa Alamri;Hanan S. Alshanbari
    • International Journal of Computer Science & Network Security
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    • 제23권8호
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    • pp.9-16
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    • 2023
  • Speech can actively elicit feelings and attitudes by using words. It is important for researchers to identify the emotional content contained in speech signals as well as the sort of emotion that resulted from the speech that was made. In this study, we studied the emotion recognition system using a database in Arabic, especially in the Saudi dialect, the database is from a YouTube channel called Telfaz11, The four emotions that were examined were anger, happiness, sadness, and neutral. In our experiments, we extracted features from audio signals, such as Mel Frequency Cepstral Coefficient (MFCC) and Zero-Crossing Rate (ZCR), then we classified emotions using many classification algorithms such as machine learning algorithms (Support Vector Machine (SVM) and K-Nearest Neighbor (KNN)) and deep learning algorithms such as (Convolution Neural Network (CNN) and Long Short-Term Memory (LSTM)). Our Experiments showed that the MFCC feature extraction method and CNN model obtained the best accuracy result with 95%, proving the effectiveness of this classification system in recognizing Arabic spoken emotions.

사이드홀 시스템에서 안테나 배열 설계 및 하이브리드 수신기 (Design of Antenna Array and Hybrid Receiver in Sidehaul System)

  • 문상미;최운;추명훈;김대진;김철성;황인태
    • 전자공학회논문지
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    • 제52권5호
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    • pp.10-22
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    • 2015
  • 이최근, 3GPP (3rd Generation Partnership Project) 에서는 폭발적으로 증가하고 있는 모바일 데이터 트래픽을 수용하기 위하여 사이드홀 (Sidehaul) 시스템을 개발하고 이에 대한 연구가 활발히 진행되고 있다. 사이드홀 시스템은 낮은 PAPR (Peak to Average Power Ratio)을 위해 SC-FDMA (Single Carrier-Frequency Division Multiple Access)를 기반으로 한다. 또한 제한된 공간에서 안테나 배열을 사용함으로써 MIMO (Multiple Input Multiple Output) 전송이 가능하게 한다. 본 논문에서는 사이드홀 시스템에서 ULA (Uniform Linear Array), UCA (Uniform Circular Array) 및 UPA (Uniform Planar Array)에 대한 안테나 배열을 설계하고 성능을 분석한다. 또한, 이웃셀로 부터 간섭의 영향을 줄이기 위하여 새로운 하이브리드 수신기 FSC(Full Suppression Cancellation)를 제안한다. 제안한 수신기는 IRC (Interference Rejection Combining)와 SIC (Successive Interference Cancellation)를 결합하여 간섭을 억제 및 제거 할 수 있다.