• 제목/요약/키워드: least square algorithm

검색결과 892건 처리시간 0.026초

LiDAR 데이터와 RANSAC 알고리즘을 이용한 철도 전력선 자동탐지에 관한 연구 (A Study on the Automatic Detection of Railroad Power Lines Using LiDAR Data and RANSAC Algorithm)

  • 전왕규;최병길
    • 한국측량학회지
    • /
    • 제31권4호
    • /
    • pp.331-339
    • /
    • 2013
  • LiDAR 측량은 고밀도로 정확하게 거리를 측정하는 장점 때문에 지표면과 지표면 위의 객체를 3D 모델링하는데 사용되는 주요기술 중의 하나이다. 본 연구의 목적은 고밀도 LiDAR 데이터와 RANSAC 알고리즘을 이용하여 자동으로 철도전력선을 탐지하고 모델링하는 방법을 개발하는데 있다. 철도전력선을 탐지하기 위하여 레이저 데이터의 다중반사 특성과 철도전력선에 대한 형상정보를 이용한다. 이를 위한 프로세스는 최초 단위라인을 찾기 위한 직육면체 분석과 라인 추적, 연결 그리고 색인 작업으로 구성되며, 반복 RANSAC과 라인 파라미터를 구하기 위한 최소제곱법이 모델링을 위하여 사용된다. 철도전력선의 경우에는 정확도 확인을 위한 실측자료를 구하는 것이 매우 힘들어서 정량적인 정확도 평가가 어려우나 모델에 대한 레이저점군의 표준편차는 x-y 및 z 좌표 각각 8cm와 5cm로 양호하였고, 육안 검사에 의한 완성도면에서도 원 데이터와 비교할 때 모든 철도전력선 라인이 탐지 및 모델링된 것을 알 수 있었다. 본 연구에서 제시하는 방법의 모든 과정은 완전히 자동화하였으며, 특히 다수의 전력선이 복잡하게 설치된 지역에서도 적용될 수 있도록 개발하였다.

질량분석기 기반 전자코를 이용한 저장 온도별 머스크멜론의 향기 패턴 분석 (Analysis of Aroma Patterns in Muskmelon at Different Storage Temperatures Using a Mass Spectrometry-based Electronic Nose)

  • 윤예리;노봉수;김병삼;권기현;김종훈;김상희;최덕주;차환수
    • 한국식품과학회지
    • /
    • 제43권4호
    • /
    • pp.419-425
    • /
    • 2011
  • 머스크멜론의 저장온도 차이에 따른 저장 중 미세한 향기성분의 변화를 질량분석기 기반 전자코를 이용하여 품질 변화 정도를 판단하였다. 저장기간이 증가함에 따라 향기성분이 변화하면서 휘발성분이 증가하였는데, 판별함수분석 결과 DF1값이 99.8%로 큰 영향을 받았으며 향기성분의 변화가 크게 나타날수록 DF1 값이 음의 방향으로 이동하였다. 이후 DF1 뿐만 아니라 DF2도 음의 값으로 변하면서 저장 초기와는 확연히 다른 향기성분의 변화가 일어난 것으로 판단된다. 0$^{\circ}C$ 저장에서는 28일, 4와 7$^{\circ}C$에서는 21일, 10$^{\circ}C$에서는 14일까지 저장 초기와 유사한 향기성분을 나타났으며, 이는 저장 온도가 낮아질수록 휘발성분의 변화가 적게 일어났다. 이러한 향기성분의 변화는 머스크멜론이 저장 중숙기가 지나고 노화가 진행되어지면서 일어난 것으로 유추된다. 또한 전자코로 분석한 DF1 값을 이용하여 일반성분들(비타민 C 함량, 꼭지 수분함량, 산도)의 저장 중 경향도 예측 가능 하였다. 머스크멜론의 저장 중 변화하는 전자코의 mass spectrum에 나타난 주요 향기성분은 이미 보고된 GC/MS의 분석 결과와 유사한 ethyl acetate, butyl acetate, nonanol, dodecanoic acid, hexadecanoic acid, tricosane과 같은 성분들로 나타났으며, 저장 중 전자코에 감지되는 양은 계속적으로 증가하였다.

Teaklite DSP Core 를 이용한 이동통신 단말기용 음향반향제거기의 실시간 구현 (Real-Time Implementation of Acoustic Echo Canceller for Mobile Handset Using TeakLite DSP Core)

  • 권홍석;김시호;장병욱;배건성
    • 대한전자공학회논문지SP
    • /
    • 제39권2호
    • /
    • pp.128-136
    • /
    • 2002
  • 본 논문에서는 이동통신 단말기의 음성부호화기에 탑재할 수 있도록 TeakLite DSP Core를 이용한 음향반향제거기(Acoustic Echo Canceller)를 실시간으로 구현하였다. 음성부호화기에서 음향반향제거기가 사용할 수 있는 연산량의 제한때문에 적응필터는 NLMS(Normalized Least Mean Square) 알고리즘을 이용한 FIR 필터를 사용하였다. 먼저 음향반향제거기를 부동소수점 C-언어로 구현한 다음 고정소수점 시뮬레이션을 통하여 고정소수점 연산으로 바꾸었다. 그리고 고정소수점 연산 결과를 기반으로 어셈블리 언어로 프로그램을 작성하고 최적화 과정을 거쳐 실시간으로 동작하도록 하였다. 최종적으로 구현된 반향제거기는 프로그램 메모리가 624 words이고 데이터 메모리는 811 words이었다. 샘플링 주파수를 8 ㎑로 하였을 때, 32 msec의 반향경로 지연시간에 해당되는 256 차수의 필터를 이용한 경우에는 14.12 MIPS의 연산량을, 16 msec의 반향경로 지연시간에 해당되는 128 차수의 필터를 이용한 경우에는 9.00 MIPS의 연산량을 필요로 하였다.

데이터 중심 다항식 확장형 RBF 신경회로망의 설계 및 최적화 (Design of Data-centroid Radial Basis Function Neural Network with Extended Polynomial Type and Its Optimization)

  • 오성권;김영훈;박호성;김정태
    • 전기학회논문지
    • /
    • 제60권3호
    • /
    • pp.639-647
    • /
    • 2011
  • In this paper, we introduce a design methodology of data-centroid Radial Basis Function neural networks with extended polynomial function. The two underlying design mechanisms of such networks involve K-means clustering method and Particle Swarm Optimization(PSO). The proposed algorithm is based on K-means clustering method for efficient processing of data and the optimization of model was carried out using PSO. In this paper, as the connection weight of RBF neural networks, we are able to use four types of polynomials such as simplified, linear, quadratic, and modified quadratic. Using K-means clustering, the center values of Gaussian function as activation function are selected. And the PSO-based RBF neural networks results in a structurally optimized structure and comes with a higher level of flexibility than the one encountered in the conventional RBF neural networks. The PSO-based design procedure being applied at each node of RBF neural networks leads to the selection of preferred parameters with specific local characteristics (such as the number of input variables, a specific set of input variables, and the distribution constant value in activation function) available within the RBF neural networks. To evaluate the performance of the proposed data-centroid RBF neural network with extended polynomial function, the model is experimented with using the nonlinear process data(2-Dimensional synthetic data and Mackey-Glass time series process data) and the Machine Learning dataset(NOx emission process data in gas turbine plant, Automobile Miles per Gallon(MPG) data, and Boston housing data). For the characteristic analysis of the given entire dataset with non-linearity as well as the efficient construction and evaluation of the dynamic network model, the partition of the given entire dataset distinguishes between two cases of Division I(training dataset and testing dataset) and Division II(training dataset, validation dataset, and testing dataset). A comparative analysis shows that the proposed RBF neural networks produces model with higher accuracy as well as more superb predictive capability than other intelligent models presented previously.

슬관절의 등속성 최대 반복 신전시 Hilbert-Huang 변환과 AR 모델을 이용한 근피로 평가 (Muscle Fatigue Assessment using Hilbert-Huang Transform and an Autoregressive Model during Repetitive Maximum Isokinetic Knee Extensions)

  • 김효신;최승욱;윤애란;이소은;신기영;최재일;문정환
    • Journal of Biosystems Engineering
    • /
    • 제34권2호
    • /
    • pp.127-132
    • /
    • 2009
  • In the working population, muscle fatigue and musculoskeletal discomfort are common, which, in the case of insufficient recovery may lead to musculoskeletal pain. Workers suffering from musculoskeletal pains need to be rehabilitated for recovery. Isokinetic testing has been used in physical strengthening, rehabilitation and post-operative orthopedic surgery. Frequency analysis of electromyography (EMG) signals using the mean frequency (MNF) has been widely used to characterize muscle fatigue. During isokinetic contractions, EMG signals present strong nonstationarities. Hilbert-Haung transform (HHT) and autoregressive (AR) model have been known more suitable than Fourier or wavelet transform for nonstationary signals. Moreover, several analyses have been performed within each active phase during isokinetic contractions. Thus, the aims of this study were i) to determine which one was better suitable for the analysis of MNF between HHT and AR model during repetitive maximum isokinetic extensions and ii) to investigate whether the analysis could be repeated for sequential fixed epoch lengths. Seven healthy volunteers (five males and two females) performed isokinetic knee extensions at $60^{\circ}/s$ and $240^{\circ}/s$ until 50% of the maximum peak torque was reached. Surface EMG signals were recorded from the rectus femoris of the right thigh. An algorithm detecting the onset and offset of EMG signals was applied to extract each active phase of the muscle. Following the results, slopes from the least-square error linear regression of MNF values showed that muscle fatigue of all subjects occurred. The AR model is better suited than HHT for estimating MNF from nonstationary EMG signals during isokinetic knee extensions. Moreover, the linear regression can be extracted from MNF values calculated by sequential fixed epoch lengths (p> 0.0I).

영상의 물리적 센서모델을 이용한 RPC 모델 추출 (RPC Model Generation from the Physical Sensor Model)

  • 김혜진;이재빈;김용일
    • 대한공간정보학회지
    • /
    • 제11권4호
    • /
    • pp.21-27
    • /
    • 2003
  • IKONOS 2호와 QuickBird 2호의 센서 모델로서 제공되는 RPC(rational polynomial coefficients) 모델은 물리적 센서 모델의 대체 모델로 다양한 센서에 적용 가능하다. 고해상도 위성들이 상용화되면서 각기 센서들의 복잡성과 보안성 문제로 인해 물리적 센서모델을 대체할 수 있는 센서 모델로서 RPC의 활용도가 높아지고 있다. 대표적인 상업용 고해상도 위성인 IKONOS 2호는 물리적 센서 모델을 공개하지 않고 각영상에 대한 RPC만을 제공하며 QuckBird 영상은 센서의 기하 정보와 함께 RPC를 제공한다. 이에 본 연구에서는 물리적 센서모델로부터 RPC를 추출하는 원천 기술을 확보하고 RPC의 물리적 센서모델에 대한대체 적합성을 평가해보고자 하였다. 이를 위해 공간해상도가 높은 항공사진과 국내 위성인 KOMPSAT 1호의 기하 모델로부터 분모식과 차수를 달리하는 RPC모델들을 추출하는 실험을 수행하였다. 최소제곱법을 통해 RPC 초기값을 구하고 Levenberg Marquardt 기법을 이용하여 반복 조정한 RPC를 물리적 센서 모델과 비교 평가하여 최적의 RPC를 결정하였다. 그 결과 항공사진은 분모식이 동일한 1차 RPC가 KOMPSAT 1호는 분모식이 상이한 3차 RPC가 가장 정확도가 높았으며 각 오차(RMSE)는 $2{\times}10^{-5}$ 화소 이하로 나타났다.

  • PDF

얼굴영상의 얼굴인식 적합성 판정 방법 (A Method for Determining Face Recognition Suitability of Face Image)

  • 이승호
    • 한국산학기술학회논문지
    • /
    • 제19권11호
    • /
    • pp.295-302
    • /
    • 2018
  • 얼굴인식(face recognition)은 스마트 감시 시스템, 공항 출입국관리, 스마트 기기의 사용자 인증 등 매우 다양한 용도로 활용되고 있다. 얼굴인식은 패턴인식(pattern recognition), 컴퓨터 비전(computer vision) 등에서 연구가 활발하게 진행되고 있으며 높은 인식 성능을 달성하였다. 하지만 입력된 얼굴영상의 특성(예 : 비 정면 얼굴)에 따라 동일한 얼굴인식 시스템의 성능이 크게 저하될 수 있는 문제점을 가지고 있다. 이러한 문제점을 극복하기 위해, 본 논문에서는 얼굴인식 시스템에 입력된 얼굴영상에 대하여 얼굴인식 측면에서의 사용 적합 여부를 판정하는 방법을 제안한다. 제안하는 방법은, 사전에 기준으로 정한 적합 얼굴영상들의 최적 조합으로 입력 얼굴영상을 복원하고, 복원 에러를 문턱값과 비교하여 사용 적합 여부를 결정한다. 얼굴영상에 포함된 조명변화가 사용 적합 여부를 판정하는데 미치는 영향을 감소시키기 위해, 기준 적합 얼굴영상들과 입력 얼굴영상들에 조명 보상을 위한 전처리(preprocessing) 과정을 수행한다. 실험결과, 제안하는 방법은 얼굴이 비 정면(non-frontal)인 경우나 얼굴정렬(face alignment)이 부정확한 경우 입력 얼굴영상을 얼굴인식에 부적합으로 판정할 수 있는 것으로 확인되었다. $64{\times}64$ 픽셀 크기의 얼굴영상 한 장을 판정하는데 불과 3ms의 처리시간을 가지므로 적합으로 판정된 입력 얼굴영상에 대해서만 얼굴인식을 수행함으로써 계산시간을 절약하고, 얼굴영상 특성에 따라 인식 성능이 급격히 저하되는 문제를 극복할 수 있을 것으로 기대한다.

조직구성원의 정보기술 인적역량과 개인 업무만족 및 업무성과 간의 관계: 목표지향성 관점 (Relationships Among Employees' IT Personnel Competency, Personal Work Satisfaction, and Personal Work Performance: A Goal Orientation Perspective)

  • 허명숙;천면중
    • Asia pacific journal of information systems
    • /
    • 제21권4호
    • /
    • pp.63-104
    • /
    • 2011
  • The study examines the relationships among employee's goal orientation, IT personnel competency, personal effectiveness. The goal orientation includes learning goal orientation, performance approach goal orientation, and performance avoid goal orientation. Personal effectiveness consists of personal work satisfaction and personal work performance. In general, IT personnel competency refers to IT expert's skills, expertise, and knowledge required to perform IT activities in organizations. However, due to the advent of the internet and the generalization of IT, IT personnel competency turns out to be an important competency of technological experts as well as employees in organizations. While the competency of IT itself is important, the appropriate harmony between IT personnel's business capability and technological capability enhances the value of human resources and thus provides organizations with sustainable competitive advantages. The rapid pace of organization change places increased pressure on employees to continually update their skills and adapt their behavior to new organizational realities. This challenge raises a number of important questions concerning organizational behavior? Why do some employees display remarkable flexibility in their behavioral responses to changes in the organization, whereas others firmly resist change or experience great stress when faced with the need to alter behavior? Why do some employees continually strive to improve themselves over their life span, whereas others are content to forge through life using the same basic knowledge and skills? Why do some employees throw themselves enthusiastically into challenging tasks, whereas others avoid challenging tasks? The goal orientation proposed by organizational psychology provides at least a partial answer to these questions. Goal orientations refer to stable personally characteristics fostered by "self-theories" about the nature and development of attributes (such as intelligence, personality, abilities, and skills) people have. Self-theories are one's beliefs and goal orientations are achievement motivation revealed in seeking goals in accordance with one's beliefs. The goal orientations include learning goal orientation, performance approach goal orientation, and performance avoid goal orientation. Specifically, a learning goal orientation refers to a preference to develop the self by acquiring new skills, mastering new situations, and improving one's competence. A performance approach goal orientation refers to a preference to demonstrate and validate the adequacy of one's competence by seeking favorable judgments and avoiding negative judgments. A performance avoid goal orientation refers to a preference to avoid the disproving of one's competence and to avoid negative judgements about it, while focusing on performance. And the study also examines the moderating role of work career of employees to investigate the difference in the relationship between IT personnel competency and personal effectiveness. The study analyzes the collected data using PASW 18.0 and and PLS(Partial Least Square). The study also uses PLS bootstrapping algorithm (sample size: 500) to test research hypotheses. The result shows that the influences of both a learning goal orientation (${\beta}$ = 0.301, t = 3.822, P < 0.000) and a performance approach goal orientation (${\beta}$ = 0.224, t = 2.710, P < 0.01) on IT personnel competency are positively significant, while the influence of a performance avoid goal orientation(${\beta}$ = -0.142, t = 2.398, p < 0.05) on IT personnel competency is negatively significant. The result indicates that employees differ in their psychological and behavioral responses according to the goal orientation of employees. The result also shows that the impact of a IT personnel competency on both personal work satisfaction(${\beta}$ = 0.395, t = 4.897, P < 0.000) and personal work performance(${\beta}$ = 0.575, t = 12.800, P < 0.000) is positively significant. And the impact of personal work satisfaction(${\beta}$ = 0.148, t = 2.432, p < 0.05) on personal work performance is positively significant. Finally, the impacts of control variables (gender, age, type of industry, position, work career) on the relationships between IT personnel competency and personal effectiveness(personal work satisfaction work performance) are partly significant. In addition, the study uses PLS algorithm to find out a GoF(global criterion of goodness of fit) of the exploratory research model which includes a mediating variable, IT personnel competency. The result of analysis shows that the value of GoF is 0.45 above GoFlarge(0.36). Therefore, the research model turns out be good. In addition, the study performs a Sobel Test to find out the statistical significance of the mediating variable, IT personnel competency, which is already turned out to have the mediating effect in the research model using PLS. The result of a Sobel Test shows that the values of Z are all significant statistically (above 1.96 and below -1.96) and indicates that IT personnel competency plays a mediating role in the research model. At the present day, most employees are universally afraid of organizational changes and resistant to them in organizations in which the acceptance and learning of a new information technology or information system is particularly required. The problem is due' to increasing a feeling of uneasiness and uncertainty in improving past practices in accordance with new organizational changes. It is not always possible for employees with positive attitudes to perform their works suitable to organizational goals. Therefore, organizations need to identify what kinds of goal-oriented minds employees have, motivate them to do self-directed learning, and provide them with organizational environment to enhance positive aspects in their works. Thus, the study provides researchers and practitioners with a matter of primary interest in goal orientation and IT personnel competency, of which they have been unaware until very recently. Some academic and practical implications and limitations arisen in the course of the research, and suggestions for future research directions are also discussed.

$^{17}O$ NMR 기법을 이용한 상자성 자기공명조영제의 물분자 교환에 관한 연구 ($^{17}O$ NMR Study On Water Excharge Rate of Paramagnetic Contrast Agents)

  • Yongmin Chang;Sung Wook Hong;Moon Jung Hwang;Il Soo Rhee;Duk-Sik Kang
    • Investigative Magnetic Resonance Imaging
    • /
    • 제5권1호
    • /
    • pp.33-37
    • /
    • 2001
  • 목적 : 자성 자기공명조명제의 효율을 결정하는데는 상자성물질의 물분자 결합위치에 구속되어 있는 물분자와 자유 물분자사이의 물분자 교환율이 매우 중요한 역할을 담당한다. 따라서 본 연구에서는 $^{17}O-NMR$기법을 사용하여 현재 상용화 되어 있는 Gd 자기공명조영제 및 최근 간특이성 자기공명조영제로 제안되고 있는 Gd-EOB-DTPA의 물분자 교율을 측정하고자 하였다. 대상 및 방법 본 연구에 사용된 조영제는 Gd-DTPA, Gd-DTPA-BMA, Gd-DOTA, Gd-EOB-DTPA 이며 여기에 Isotech 사의 5% $^{17}O$로 치환된 증류수를 혼합하여 사용하였다. 결과적인 시료의 pH는 buffer용액을 사용하여 pH=7로 고정하였으며 다양한 온도에서 Bruker-600 (14.1 T, 81.3 MHz)모델의 NMR장비를 사용하여 측정하였다. 에코열 24개의 Carr-Purcell-Meiboom-Gill (CPMG) 펄스 시권스를 사용하여 $^{17}O$의 스핀-스핀 이완시간(T2)을 측정하고 이렇게 얻어진 T2 데이터는 최소자승법을 이용하여 Solomon-Bloembergen방정식에 fitting시켜서 최종적으로 각 조명제의 물분자 교환율을 계산하였다. 결과 : 측정된 각 조영제의 물분자 교환시간은 300k의 온도에서는 Gd-DTPA의 경우 0.427, Gd-DTPA-BMA의 경우 $1.99{\;}{\mu}s$, Gd-DOTA의 경우 $0.27{\;}{\mu}s$, Gd-EOB-DTPA의 경우 $0.11{\;}{\mu}s$로 나타났으며 이러한 물분자 교환시간은 온도에 따라 변화함을 알았다. 물분자 교환시간의 온도 의존성은 모든 조영제에서 지수함수의 형태로 나타났으나 조영제에 따라 온도가 올라감에 따라 물분자 교환시간이 감소하는 감소율에서는 차이를 나타내었다. 결론 : 상자성 조영제의 relaxation enhancement 기전을 이해하는데는 물분자 교환율에 대한 정보가 매우 중요하며 이러한 물분자 교환율을 정확히 측정하는데는 $^{17}O-NMR$기법이 매우 유용함을 알 수 있었다.

  • PDF

인터넷 커뮤니티에서 사용자 참여가 밀착도와 지속적 이용의도에 미치는 영향 (A Study on the Effects of User Participation on Stickiness and Continued Use on Internet Community)

  • 고미현;권순동
    • Asia pacific journal of information systems
    • /
    • 제18권2호
    • /
    • pp.41-72
    • /
    • 2008
  • The purpose of this study is the investigation of the effects of user participation, network effect, social influence, and usefulness on stickiness and continued use on Internet communities. In this research, stickiness refers to repeat visit and visit duration to an Internet community. Continued use means the willingness to continue to use an Internet community in the future. Internet community-based companies can earn money through selling the digital contents such as game, music, and avatar, advertizing on internet site, or offering an affiliate marketing. For such money making, stickiness and continued use of Internet users is much more important than the number of Internet users. We tried to answer following three questions. Fist, what is the effects of user participation on stickiness and continued use on Internet communities? Second, by what is user participation formed? Third, are network effect, social influence, and usefulness that was significant at prior research about technology acceptance model(TAM) still significant on internet communities? In this study, user participation, network effect, social influence, and usefulness are independent variables, stickiness is mediating variable, and continued use is dependent variable. Among independent variables, we are focused on user participation. User participation means that Internet user participates in the development of Internet community site (called mini-hompy or blog in Korea). User participation was studied from 1970 to 1997 at the research area of information system. But since 1997 when Internet started to spread to the public, user participation has hardly been studied. Given the importance of user participation at the success of Internet-based companies, it is very meaningful to study the research topic of user participation. To test the proposed model, we used a data set generated from the survey. The survey instrument was designed on the basis of a comprehensive literature review and interviews of experts, and was refined through several rounds of pretests, revisions, and pilot tests. The respondents of survey were the undergraduates and the graduate students who mainly used Internet communities. Data analysis was conducted using 217 respondents(response rate, 97.7 percent). We used structural equation modeling(SEM) implemented in partial least square(PLS). We chose PLS for two reason. First, our model has formative constructs. PLS uses components-based algorithm and can estimated formative constructs. Second, PLS is more appropriate when the research model is in an early stage of development. A review of the literature suggests that empirical tests of user participation is still sparse. The test of model was executed in the order of three research questions. First user participation had the direct effects on stickiness(${\beta}$=0.150, p<0.01) and continued use (${\beta}$=0.119, p<0.05). And user participation, as a partial mediation model, had a indirect effect on continued use mediated through stickiness (${\beta}$=0.007, p<0.05). Second, optional participation and prosuming participation significantly formed user participation. Optional participation, with a path magnitude as high as 0.986 (p<0.001), is a key determinant for the strength of user participation. Third, Network effect (${\beta}$=0.236, p<0.001). social influence (${\beta}$=0.135, p<0.05), and usefulness (${\beta}$=0.343, p<0.001) had directly significant impacts on stickiness. But network effect and social influence, as a full mediation model, had both indirectly significant impacts on continued use mediated through stickiness (${\beta}$=0.11, p<0.001, and ${\beta}$=0.063, p<0.05, respectively). Compared with this result, usefulness, as a partial mediation model, had a direct impact on continued use and a indirect impact on continued use mediated through stickiness. This study has three contributions. First this is the first empirical study showing that user participation is the significant driver of continued use. The researchers of information system have hardly studies user participation since late 1990s. And the researchers of marketing have studied a few lately. Second, this study enhanced the understanding of user participation. Up to recently, user participation has been studied from the bipolar viewpoint of participation v.s non-participation. Also, even the study on participation has been studied from the point of limited optional participation. But, this study proved the existence of prosuming participation to design and produce products or services, besides optional participation. And this study empirically proved that optional participation and prosuming participation were the key determinant for user participation. Third, our study compliments traditional studies of TAM. According prior literature about of TAM, the constructs of network effect, social influence, and usefulness had effects on the technology adoption. This study proved that these constructs still are significant on Internet communities.