• Title, Summary, Keyword: Identification

Search Result 17,375, Processing Time 0.064 seconds

Target identification for visual tracking

  • Lee, Joon-Woong;Yun, Joo-Seop;Kweon, In-So
    • 제어로봇시스템학회:학술대회논문집
    • /
    • /
    • pp.145-148
    • /
    • 1996
  • In moving object tracking based on the visual sensory feedback, a prerequisite is to determine which feature or which object is to be tracked and then the feature or the object identification precedes the tracking. In this paper, we focus on the object identification not image feature identification. The target identification is realized by finding out corresponding line segments to the hypothesized model segments of the target. The key idea is the combination of the Mahalanobis distance with the geometrica relationship between model segments and extracted line segments. We demonstrate the robustness and feasibility of the proposed target identification algorithm by a moving vehicle identification and tracking in the video traffic surveillance system over images of a road scene.

  • PDF

Fuzzy Relation-Based Fuzzy Neural-Networks Using a Hybrid Identification Algorithm

  • Park, Ho-Seung;Oh, Sung-Kwun
    • International Journal of Control, Automation, and Systems
    • /
    • v.1 no.3
    • /
    • pp.289-300
    • /
    • 2003
  • In this paper, we introduce an identification method in Fuzzy Relation-based Fuzzy Neural Networks (FRFNN) through a hybrid identification algorithm. The proposed FRFNN modeling implement system structure and parameter identification in the efficient form of "If...., then... " statements, and exploit the theory of system optimization and fuzzy rules. The FRFNN modeling and identification environment realizes parameter identification through a synergistic usage of genetic optimization and complex search method. The hybrid identification algorithm is carried out by combining both genetic optimization and the improved complex method in order to guarantee both global optimization and local convergence. An aggregate objective function with a weighting factor is introduced to achieve a sound balance between approximation and generalization of the model. The proposed model is experimented with using two nonlinear data. The obtained experimental results reveal that the proposed networks exhibit high accuracy and generalization capabilities in comparison to other models.er models.

A Study on the System Identification based on Neural Network for Modeling of 5.1. Engines (S.I. 엔진 모델링을 위한 신경회로망 기반의 시스템 식별에 관한 연구)

  • 윤마루;박승범;선우명호;이승종
    • Transactions of the Korean Society of Automotive Engineers
    • /
    • v.10 no.5
    • /
    • pp.29-34
    • /
    • 2002
  • This study presents the process of the continuous-time system identification for unknown nonlinear systems. The Radial Basis Function(RBF) error filtering identification model is introduced at first. This identification scheme includes RBF network to approximate unknown function of nonlinear system which is structured by affine form. The neural network is trained by the adaptive law based on Lyapunov synthesis method. The identification scheme is applied to engine and the performance of RBF error filtering Identification model is verified by the simulation with a three-state engine model. The simulation results have revealed that the values of the estimated function show favorable agreement with the real values of the engine model. The introduced identification scheme can be effectively applied to model-based nonlinear control.

Automatic Identification of Business Services Using EA Ontology (EA 온톨로지 기반 비즈니스 서비스 자동 식별방안)

  • Jeong, Chan-Ki;Hwang, Sang-Kyu
    • Journal of Information Technology Services
    • /
    • v.9 no.3
    • /
    • pp.179-191
    • /
    • 2010
  • Service identification and composition is one of the key characteristics for a successful Service-Oriented Computing, being receiving a lot of attention from researchers in recent years. In the Service-Oriented Analysis, the identification of business services has to be preceded before application services are identified. Most approaches addressing the derivation of business services are based on heuristic methods and human experts. The manual identification of business services is highly expensive and ambiguous task, and it may result in the service design with bad quality because of errors and misconception. Although a few of approaches of automatic service identification are proposed, most of them are in focus on technical architectures and application services. In this paper, we propose a model on the automatic identification of business services by horizontal and vertical service alignment using Enterprise Architecture as an ontology. We verify the effectiveness of the proposed model of business services identification through a case study based on Department of Defense Enterprise Architecture.

Studies on the Identification Test of Herbal Medicines and its Preparations (한약엑스제의 확인시험법에 관한 연구)

  • Kim, Hye-Jin;Suh, Yong-Taek;Lee, Jong-Pill;Cho, Jung-Hee;Jang, Young-Pyo
    • Korean Journal of Pharmacognosy
    • /
    • v.40 no.2
    • /
    • pp.155-160
    • /
    • 2009
  • The reference herbal extracts and their identification methods by Korean Pharmacopoeia IX were established based on the organic solvent extracts to detect their marker compounds. However, most of herbal medicine decoctions in the market are prepared with water as extracting solvent. As the reference herbal extracts and their identification methods are not appropriate for the practical test, new preparation of alternative reference herbal extracts and their identification test methods are essential for the correction of test methods and identification of herbal drugs. Three novel identification test methods were developed for Evodiae Fructus, Cimicifugae Rhizoma and Aurantii Fructus Immaturus. Total 10 reference herbal extracts and their identification methods were optimized for Ephedrae Herba, Schisandrae Fructus, Curcuma longae Rhizoma, Citri Unshius Pericarpium, Puerariae Radix, Corni Fructus, and Cinnamomi Cortex.

On-line System Identification using State Observer

  • Park, Duck-Gee;Hong, Suk-Kyo
    • 제어로봇시스템학회:학술대회논문집
    • /
    • /
    • pp.2538-2541
    • /
    • 2005
  • This paper deals one of the methods of system identification, especially on-line system identification in time-domain. The algorithm in this study needs all states of the system as well input to it for system identification. In this reason, Kalman filter is used for state estimation. But in order to implement a state estimator, the fact that a system model must be known is logical contradiction. To overcome this, state estimation and system parameter estimation are performed simultaneously in one sample. And the result of the system parameter estimation is used as basis to state estimation in next sample. On-line system identification comes, in every sample by performing both processes of state estimation and parameter estimation that are related mutually and recursively. This paper demonstrates the validity of proposed algorithm through an example of an unstable inverted pendulum system. This algorithm can be useful for on-line system identification of a system that has fewer number of measurable output than system order or number of states.

  • PDF

The Effect of Identification Framing as Crisis Response Strategy (위기대응 전략으로서 정체성 프레이밍 효과)

  • Cho, Seung-Ho
    • The Journal of the Korea Contents Association
    • /
    • v.18 no.1
    • /
    • pp.327-335
    • /
    • 2018
  • The current study challenges to suggest an umbrella strategy applied to different type of crisis, which is different from normative principle in crisis communication. The umbrella or comprehensive strategy in this study is identification framing. Identification framing is strategic message for organizational identification, which is close to social identification. The current study employed experimental design manipulating crisis types, crisis response types, and identification framing. The crisis types were internal versus external crisis, crisis responses were denial versus apology, and using identification framing $2{\times}2{\times}2$ factorial design were used. Two hundreds forty students participated in the experiment. The result showed the significant effectiveness of identification framing in different crisis types and crisis responses.

The Impacts of Employee-Perceived Brand Personality on Employee Brand Identification : Focused on Food & Beverage Department of Deluxe Hotels in Seoul (브랜드 개성과 종사원 개성이 종사원 브랜드 동일시에 미치는 영향 : 서울 소재 특 1급 호텔 식음료.조리 부서를 중심으로)

  • Choi Mi-Kyung
    • Journal of the East Asian Society of Dietary Life
    • /
    • v.16 no.2
    • /
    • pp.207-214
    • /
    • 2006
  • The purpose of this study was to examine the impacts of brand personality and employee personality on employee brand identification. The questionnaire developed for this study was distributed to 460 employees in F&B (food and beverage) departments and kitchen of 11 deluxe hotels in Seoul. A total of 398 questionnaires were used for analysis (86.5%) and the statistical analyses were completed using SPSS Win(12.0) for descriptive analysis, reliability analysis, t-test, and regression analysis. The results showed that employee brand identification was stronger at higher position, and also stronger among F&B department employees than among kitchen cooks. In addition, international hotels showed a higher level of employee brand identification than local hotels. Employee brand identification was also affected by hotel brand personality and employee personality. The dimension of 'sincerity' had the strongest effect on brand identification, followed by the dimensions of 'excitement' and 'sophistication'. Especially, when the hotel brand personality was lower than the employee personality at the dimension of 'sincerity', the level of employee brand identification was much lower. Overall, employee brand identification, which is a key factor for successful brand delivery to customer, could be enhanced through strong strategies to improve the brand personality dimensions and enhance employee development.

  • PDF

Safety Improvement Methods of Personal Identification Services using the i-Pin (아이핀 기반 본인확인서비스의 안전성 강화 방안)

  • Kim, Jongbae
    • Journal of Information Technology Services
    • /
    • v.16 no.2
    • /
    • pp.97-110
    • /
    • 2017
  • Due to development of IT, various Internet services via the non-face-to-face are increasing rapidly. In the past, the resident registration numbers (RRN) was used a mean of personal identification, but the use of RRN is prohibited by the relevant laws, and the personal identification services using alternative means are activated. According to the prohibition policy of RRN, i-PIN service appeared as an alternative means to identify a person. However, the user's knowledge-based i-PIN service continues to cause fraudulent issuance, account hijacking, and fraud attempts due to hacking accidents. Due to these problems, the usage rate of i-PIN service which performs a nationwide free personal identification service, is rapidly decreasing. Therefore, this paper proposes a technical safety enhancement method for security enhancement in the i-PIN-based personal identification service. In order to strengthen the security of i-PIN, this paper analyzes the encryption key exposure, key exchange and i-PIN authentication model problems of i-PIN and suggests countermeasures. Through the proposed paper, the i-PIN can be expected to be used more effectively as a substitution of RRN by suggesting measures to enhance the safety of personal identification information. Secured personal identification services will enable safer online non-face-to-face transactions. By securing the technical, institutional, and administrative safety of the i-PIN service, the usage rate will gradually increase.

Identification of ARMAX Model and Linear Estimation Algorithm for Structural Dynamic Characteristics Analysis (구조동특성해석을 위한 ARMAX 모형의 식별과 선형추정 알고리즘)

  • Choe, Eui-Jung;Lee, Sang-Jo
    • Journal of the Korean Society for Precision Engineering
    • /
    • v.16 no.7
    • /
    • pp.178-187
    • /
    • 1999
  • In order to identify a transfer function model with noise, penalty function method has been widely used. In this method, estimation process for possible model parameters from low to higher order proceeds the model identification process. In this study, based on linear estimation method, a new approach unifying the estimation and the identification of ARMAX model is proposed. For the parameter estimation of a transfer function model with noise, linear estimation method by noise separation is suggested instead of nonlinear estimation method. The feasibility of the proposed model identification and estimation method is verified through simulations, namely by applying the method to time series model. In the case of time series model with noise, the proposed method successfully identifies the transfer function model with noise without going through model parameter identification process in advance. A new algorithm effectively achieving model identification and parameter estimation in unified frame has been proposed. This approach is different from the conventional method used for identification of ARMAX model which needs separate parameter estimation and model identification processes. The consistency and the accuracy of the proposed method has been verified through simulations.

  • PDF