• 제목/요약/키워드: Human Dimension

검색결과 486건 처리시간 0.03초

Area and Power Efficient VLSI Architecture for Two Dimensional 16-point Modified Gate Diffusion Input Discrete Cosine Transform

  • Thiruveni, M.;Shanthi, D.
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제16권4호
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    • pp.497-505
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    • 2016
  • The two-dimensional (2D) Discrete Cosine Transform (DCT) is used widely in image and video processing systems. The perception of human visualization permits us to design approximate rather than exact DCT. In this paper, we propose a digital implementation of 16-point approximate 2D DCT architecture based on one-dimensional (1D) DCT and Modified Gate Diffusion Input (MGDI) technique. The 8-point 1D Approximate DCT architecture requires only 12 additions for realization in digital VLSI. Additions can be performed using the proposed 8 transistor (8T) MGDI Full Adder which reduces 2 transistors than the existing 10 transistor (10T) MGDI Full Adder. The Approximate MGDI 2D DCT using 8T MGDI Full adders is simulated in Tanner SPICE for $0.18{\mu}m$ CMOS process technology at 100MHZ.The simulation result shows that 13.9% of area and 15.08 % of power is reduced in the 8-point approximate 2D DCT, 10.63 % of area and 15.48% of power is reduced in case of 16-point approximate 2D DCT using 8 Transistor MGDI Full Adder than 10 Transistor MGDI Full Adder. The proposed architecture enhances results in terms of hardware complexity, regularity and modularity with a little compromise in accuracy.

봉제패션인형의 바디패턴에 관한 연구 (A Study on the Fabric Fashion Dolls' Body Pattern)

  • 한미란;김여숙
    • 한국의류산업학회지
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    • 제11권1호
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    • pp.140-146
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    • 2009
  • In this study, the ideal human body of adult woman is to express, and the body dimension of the woman model is produced and compared in doll model with the bodily dimension by presenting the body pattern to produce the dolls with the ideal body proportion visually. For the research process, by collecting, comparing and analyzing the body pattern of the currently used embroidery fashion doll, the pattern of body suit that displays the body of women is designed with the size of model with the height of 168cm. This is scaled for 1/4 of its entirety to make the doll of around 40cm and produced the research doll with two revisions. When compared with the ratio of each part of the body for the height of the produced research doll with the bodily ration of the major ratio of the height of the standard bodily size of Size Korea 2004, the ratio of the category of the height is almost consistent, and the width category is shown approximately 80~85%, waist for 75%, thickness category for approximately 90% as the ideal ratio.

수치 사진측량에 있어서 정합 강도 측정에 의한 불량 정합점 제거에 관한 연구 (Blunder Detection by Matching Strength Measurement in Digital Photogrammetry)

  • 정명훈;윤홍식;위광재
    • 한국측량학회지
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    • 제18권2호
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    • pp.191-198
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    • 2000
  • 수치사진 측량은 신속한 정보 획득과 갱신을 통하여 지리정보체계의 데이터 베이스 구축에 중요한 역할을 하고 있다. 이러한 수치사진측량의 기본적인 처리과정 중의 하나는 영상정합이다. 그러나 어떠한 영상정합 알고리즘도 인간의 판단과 지적 능력에 의해서 수행되는 것만큼 만족스러운 결과를 산출하지는 못하고 있다. 따라서 본 논문에서는 대상지역이 완만한 경우 정합점이라고 판단되는 점과 그 이웃 점들간에 전체적인 유사성을 관측하여 불량 정합점들을 제거하는 방법(정합 강도의 측정)을 제안하였고, 또한 최종적으로 얻어지는 정합점들의 3차원 좌표를 광속 조정법을 통하여 구하였다 실험결과 제안방법은 불량정합점들을 효과적으로 제거하였고, 계산된 3차원 지상좌표도 허용 오차 범위 이내로 들어왔다.

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대학병원 근무 간호사의 성격적 특성, 권한부여 및 고객지향성간의 관계분석 (An Analysis on the Relationship among Personality Traits, Empowerment and Customer Orientation of Nurses in a Teaching Hospital)

  • 윤경일
    • 한국병원경영학회지
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    • 제8권2호
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    • pp.5-23
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    • 2003
  • To survive in the competitive environment, hospitals pay more attention to patient satisfaction than ever before. Nurses are the employee that have frequent interactions with patients in a hospital, and therefore, the effective management of nursing staff is crucial to maintain high level of patient satisfaction. Searching for a way to an effective human resource management in nursing, this study attempted to investigate the pre-dispositional factors of customer orientation of registered nurses in a hospital. The customer orientation concept is originated from marketing literature and defined as the attitude of employee that focus on establishing a long term relationship rather than short term gains in dealing with customers. The study hypothesized that the personal trait of individual and the perceived level of empowerment affect the level of customer orientation of nurses. We tested the hypothesis 10 a teaching hospital. Three-hundred seventy two nurses were surveyed and 235 responses were collected. Out of the 235 responses, 24 responses were discarded due to the incomplete answers to the questionnaire and 211 responses were analyzed. The data were analyzed using factor analysis and multiple regression analysis. The results showed that the enjoyment dimension of customer orientation was affected by the agreeableness, consciousness, and openness of personal traits and the need dimension of customer orientation was affected by the agreeableness and level of empowerment. Based on the results the research and nursing resources management implications were discussed.

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Gait Recognition Algorithm Based on Feature Fusion of GEI Dynamic Region and Gabor Wavelets

  • Huang, Jun;Wang, Xiuhui;Wang, Jun
    • Journal of Information Processing Systems
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    • 제14권4호
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    • pp.892-903
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    • 2018
  • The paper proposes a novel gait recognition algorithm based on feature fusion of gait energy image (GEI) dynamic region and Gabor, which consists of four steps. First, the gait contour images are extracted through the object detection, binarization and morphological process. Secondly, features of GEI at different angles and Gabor features with multiple orientations are extracted from the dynamic part of GEI, respectively. Then averaging method is adopted to fuse features of GEI dynamic region with features of Gabor wavelets on feature layer and the feature space dimension is reduced by an improved Kernel Principal Component Analysis (KPCA). Finally, the vectors of feature fusion are input into the support vector machine (SVM) based on multi classification to realize the classification and recognition of gait. The primary contributions of the paper are: a novel gait recognition algorithm based on based on feature fusion of GEI and Gabor is proposed; an improved KPCA method is used to reduce the feature matrix dimension; a SVM is employed to identify the gait sequences. The experimental results suggest that the proposed algorithm yields over 90% of correct classification rate, which testify that the method can identify better different human gait and get better recognized effect than other existing algorithms.

Real-time online damage localisation using vibration measurements of structures under variable environmental conditions

  • K. Lakshmi
    • Smart Structures and Systems
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    • 제33권3호
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    • pp.227-241
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    • 2024
  • Safety and structural integrity of civil structures, like bridges and buildings, can be substantially enhanced by employing appropriate structural health monitoring (SHM) techniques for timely diagnosis of incipient damages. The information gathered from health monitoring of important infrastructure helps in making informed decisions on their maintenance. This ensures smooth, uninterrupted operation of the civil infrastructure and also cuts down the overall maintenance cost. With an early warning system, SHM can protect human life during major structural failures. A real-time online damage localization technique is proposed using only the vibration measurements in this paper. The concept of the 'Degree of Scatter' (DoS) of the vibration measurements is used to generate a spatial profile, and fractal dimension theory is used for damage detection and localization in the proposed two-phase algorithm. Further, it ensures robustness against environmental and operational variability (EoV). The proposed method works only with output-only responses and does not require correlated finite element models. Investigations are carried out to test the presented algorithm, using the synthetic data generated from a simply supported beam, a 25-storey shear building model, and also experimental data obtained from the lab-level experiments on a steel I-beam and a ten-storey framed structure. The investigations suggest that the proposed damage localization algorithm is capable of isolating the influence of the confounding factors associated with EoV while detecting and localizing damage even with noisy measurements.

뇌파의 비선형 분석을 위한 신호추출조건 및 계산 알고리즘 (A Proposed Algorithm and Sampling Conditions for Nonlinear Analysis of EEG)

  • 신철진;이광호;최성구;윤인영
    • 수면정신생리
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    • 제6권1호
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    • pp.52-60
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    • 1999
  • 목 적 : 임상 뇌파의 비선형 분석시, 분석시간을 단축시킬 수 있는 방법과 보다 정확한 상관차원을 얻기 위한 새로운 알고리즘 고안을 시도하였다. 또 뇌파신호 분석을 위한 적절한 신호획득 조건을 결정하는 방법을 제시하기 위하여 여러 상이한 실험조건에서 상관차원을 계산하였으며, 여기서 얻은 결과를 이용하여 각 실험실마다 공통적으로 적용할 수 있는 표준화된 실험 조건을 결정하고자 하였다. 방 법 : 임의의 한 개인을 대상으로 13개의 두피전극에서 얻은 뇌파신호를 대상으로 하였다. 12비트 해상도에서 1000 헤르츠로 32초간 얻은 뇌파신호를 디지털화 하여 각 전극당 32000개의 시계열자료를 얻었다. 이 자료를 10, 20, 30초 간격의 시간단위로 나누고, 각각에 대해 1000, 500, 250, 125, 62.5 Hz 등 5가지 신호추출조건을 달리 하여 각 전극마다 총 15개의 시계열 자료를 만들었다. 여기에 상관차원 계산시간 단축을 위해 고안된 계산 알고리듬 및 상관차원 추정 정확도를 개선하기 위해 적용한 최소절단자승기법을 적용하여 상관 차원을 계산하였다. 이렇게 얻은 상관차원 결과를 신호획득시간과 신호추출빈도에 따라 비교하였다. 또 로그연산을 비트 연산으로 바꾸어 계산시간 단축의 효과를 평가하였으며, 최소 절단자승기법과 최소자승추정기법을 비교하였다. 결 과 : 신호추출시간이 증가함에 따라 상관차원의 값도 통계적으로 유의하게 증가하는 양상을 보였다. 신호추출빈도가 62.5Hz일때는 신호추출시간에 무관하게 높은 상관차원값을 나타냈으나 그밖의 빈도에서는 유사한 상관차원값을 보였다. 본 연구에서 고안된 계산 알고리듬은 종래 사용하던 알고리듬에 비해 통계적으로 유의한 계산시간 단축효과를 보였다. 또 종래의 방법인 최소자승추정에 의한 상관차원에 비하여 본 연구에 적용된 최소절단자승추정법은 보다 안정된상관차원 값을 추정하였다. 결 론 : 본 연구는 다량의 뇌파 시계열 자료를 분석하는데 신속하고 보다 정확한 상관차원 추정에 알맞는 분석방법을 제공하였다. 또한 뇌파 시계열 자료의 상관차원 계산시 12비트의 해상도에서 125Hz의 신호추출빈도로 20초간 뇌파신호를 획득하면 적정한 수준의 상관차원을 계산할 수 있음을 보였다.

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MicroRNAs in Human Diseases: From Autoimmune Diseases to Skin, Psychiatric and Neurodegenerative Diseases

  • Ha, Tai-You
    • IMMUNE NETWORK
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    • 제11권5호
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    • pp.227-244
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    • 2011
  • MicroRNAs (miRNAs) are small noncoding RNA molecules that negatively regulate gene expression via degradation or translational repression of their target messenger RNAs (mRNAs). Recent studies have clearly demonstrated that miRNAs play critical roles in several biologic processes, including cell cycle, differentiation, cell development, cell growth, and apoptosis and that miRNAs are highly expressed in regulatory T (Treg) cells and a wide range of miRNAs are involved in the regulation of immunity and in the prevention of autoimmunity. It has been increasingly reported that miRNAs are associated with various human diseases like autoimmune disease, skin disease, neurological disease and psychiatric disease. Recently, the identification of miRNAs in skin has added a new dimension in the regulatory network and attracted significant interest in this novel layer of gene regulation. Although miRNA research in the field of dermatology is still relatively new, miRNAs have been the subject of much dermatological interest in skin morphogenesis and in regulating angiogenesis. In addition, miRNAs are moving rapidly center stage as key regulators of neuronal development and function in addition to important contributions to neurodegenerative disorder. Moreover, there is now compelling evidence that dysregulation of miRNA networks is implicated in the development and onset of human neruodegenerative diseases, such as Alzheimer's disease, Parkinson's disease, Huntington's disease, Tourette's syndrome, Down syndrome, depression and schizophrenia. In this review, I briefly summarize the current studies about the roles of miRNAs in various autoimmune diseases, skin diseases, psychoneurological disorders and mental stress.

The Determinants of Human Resource Information System Success in Japanese Manufacturing Companies

  • Zin, Md Lazim Mohd;Ibrahim, Hadziroh;Hassan, Zuraidah
    • Asian Journal of Business Environment
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    • 제6권4호
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    • pp.27-34
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    • 2016
  • Purpose - The study sought to examine the relationship between individual characteristics and system features and Human Resource Information System (HRIS) success in Japanese manufacturing companies in Malaysia. Research Design, Data, and Methodology - This study adopt quantitative approach to investigate the relationship between individual characteristics and system features and HRIS. Toward this objective, a total of 700 questionnaires were mailed to a representative of the organization. A total of 187 questionnaires were returned, and only 145 were usable for further analysis, representing a response rate of 20.71%. Result - Results indicated that individual characteristics and two dimensions of system characteristics (ease of use and training) were significantly related to HRIS success. Unexpectedly, the results showed that the third dimension of system features (documentation) was unrelated to HRIS success. Conclusions - The results partially support the underlying arguments that individual characteristics and system characteristics have significant influences on HRIS success. The finding suggests that HRIS success in the organization can be generated as a result of good implementation of system support and employees' readiness to apply HRIS in their jobs.

New Protein Extraction/Solubilization Protocol for Gel-based Proteomics of Rat (Female) Whole Brain and Brain Regions

  • Hirano, Misato;Rakwal, Randeep;Shibato, Junko;Agrawal, Ganesh Kumar;Jwa, Nam-Soo;Iwahashi, Hitoshi;Masuo, Yoshinori
    • Molecules and Cells
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    • 제22권1호
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    • pp.119-125
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    • 2006
  • The rat is an accepted model for studying human psychiatric/neurological disorders. We provide a protocol for total soluble protein extraction using trichloroacetic acid/acetone (TCA/A) from rat (female) whole brain, 10 brain regions and the pituitary gland, and show that two-dimensional gel electrophoresis (2-DGE) using precast immobilized pH (4-7) gradient (IPG) strip gels (13 cm) in the first dimension yields clean silver nitrate stained protein profiles. Though TCA/A precipitation may not be "ideal", the important choice here is the selection of an appropriate lysis buffer (LB) for solubilizing precipitated proteins. Our results reveal enrichment of protein spots by use of individual brain regions rather than whole brain, as well as the presence of differentially expressed spots in their proteomes. Thus individual brain regions provide improved protein coverage and are better suited for differential protein detection. Moreover, using a phosphoprotein-specific dye, ingel detection of phosphoproteins was demonstrated. Representative high-resolution silver nitrate stained proteome profiles of rat whole brain total soluble protein are presented. Shortcomings apart (failure to separate membrane proteins), gel-based proteomics remains a viable option, and 2-DGE is the method of choice for generating high-resolution proteome maps of rat brain and brain regions.