인터넷 실명제에 관한 헌법학적 연구

황성기 한양대학교 법학연구소 2008 법학논총 Vol.25 No.1

the real name identification system of election bulletin board, so-called 'the real name identification system on the Internet' was enacted by 「the Public Official Election Act」 revised in Mar. 12, 2004. Additionally, to prevent lingual assaults such as intrusions of privacy or libels, the Government drived expanding the real name identification system to all sectors of Internet. Consequently, the real name identification system of general bulletin board was enacted in 「the Act on Promotion of Information and Communications Network Utilization and Information Protection, etc.」 by revising the Act in Jan. 26, 2007. the basic goal of the real name identification system on the Internet is controlling expression of ideas by constructing mandatory personal identification system. In other words, the Government has an intention to remove 'anonymity' which is one of the most characteristics of Internet coercely. In this context, the real name identification system on the Internet has serious constitutional problems as follows. The first problem is infringement of freedom of anonymous speech. The real name identification system allows who was identified to express one's ideas or upload one's materials on bulletin board. Therefore who was not identified cannot express one's ideas or upload one's materials on bulletin board. The second problem is infringement of freedom of political speech. Especially the real name identification system of election bulletin board has a ability to infringe freedom of political speech, in so that it aims to control expression of election, parties or candidates. The third problem is principles of the protection of right to informational self-determination or protection of personal data. Because to identify Internet user, personal data shall be used. The fourth problem is infringement of freedom of business of Internet company. If an Internet company is adopting a non-real name system as one's business policy, the real name identification system will impose some restrictions on the Internet company.

System identification of a building structure using wireless MEMS and PZT sensors

Hongjin Kim,김화중,Boung-Yong Kim,황재승 국제구조공학회 2008 Structural Engineering and Mechanics, An Int'l Jou Vol.30 No.2

A structural monitoring system based on cheap and wireless monitoring system is investigated in this paper. Due to low-cost and low power consumption, micro-electro-mechanical system (MEMS) is suitable for wireless monitoring and the use of MEMS and wireless communication can reduce system cost and simplify the installation for structural health monitoring. For system identification using wireless MEMS, a finite element (FE) model updating method through correlation with the initial analytical model of the structure to the measured one is used. The system identification using wireless MEMS is evaluated experimentally using a three storey frame model. Identification results are compared to ones using data measured from traditional accelerometers and results indicate that the system identification using wireless MEMS estimates system parameters with reasonable accuracy. Another smart sensor considered in this paper for structural health monitoring is Lead Zirconate Titanate (PZT) which is a type of piezoelectric material. PZT patches have been applied for the health monitoring of structures owing to their simultaneous sensing/actuating capability. In this paper, the system identification for building structures by using PZT patches functioning as sensor only is presented. The FE model updating method is applied with the experimental data obtained using PZT patches, and the results are compared to ones obtained using wireless MEMS system. Results indicate that sensing by PZT patches yields reliable system identification results even though limited information is available.

System identification technique for control of hybrid bio-system

조윤현,허훈 대한기계학회 2019 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.33 No.12

Effective and accurate system parameters in physical system are crucial for the analysis and prediction of dynamic performance and to conduct control. A hybrid bio-system combined using solid and flexible bio-elements is adopted as the target system in this study. Each individual system has its own nonlinearity in nature. A flexible muscle is represented using a Hill-type model. In addition, the hybrid dynamic system exhibiting nonlinearity is modeled using the Hammerstein-Wiener model. These nonlinearities are characterized through piecewise linear approaches. The dynamics and control performance of the systems using the proposed nonlinear system identification are compared with those of linear system identification. Simulation results show the feasibility of the proposed nonlinear system identification technique in extracting effective system parameters with a varying piecewise linearity. Moreover, the possibility of bio-system control is qualitatively revealed. A sequential PID control scheme also shows its successful performance for a hybrid bio-system.

System identification of a building structure using wireless MEMS and PZT sensors

Kim, Hongjin,Kim, Whajung,Kim, Boung-Yong,Hwang, Jae-Seung Techno-Press 2008 Structural Engineering and Mechanics, An Int'l Jou Vol.30 No.2

A structural monitoring system based on cheap and wireless monitoring system is investigated in this paper. Due to low-cost and low power consumption, micro-electro-mechanical system (MEMS) is suitable for wireless monitoring and the use of MEMS and wireless communication can reduce system cost and simplify the installation for structural health monitoring. For system identification using wireless MEMS, a finite element (FE) model updating method through correlation with the initial analytical model of the structure to the measured one is used. The system identification using wireless MEMS is evaluated experimentally using a three storey frame model. Identification results are compared to ones using data measured from traditional accelerometers and results indicate that the system identification using wireless MEMS estimates system parameters with reasonable accuracy. Another smart sensor considered in this paper for structural health monitoring is Lead Zirconate Titanate (PZT) which is a type of piezoelectric material. PZT patches have been applied for the health monitoring of structures owing to their simultaneous sensing/actuating capability. In this paper, the system identification for building structures by using PZT patches functioning as sensor only is presented. The FE model updating method is applied with the experimental data obtained using PZT patches, and the results are compared to ones obtained using wireless MEMS system. Results indicate that sensing by PZT patches yields reliable system identification results even though limited information is available.

동역학 시스템을 위한 DNN 메타모델 기반의 시스템 보정 네트워크

장성일(Sungil Jang),최주환(Juhwan Choi),한성지(Seongji Han),김진균(Jin-Gyun Kim),최진환(Jin Hwan Choi) 대한기계학회 2023 대한기계학회 춘추학술대회 Vol.2023 No.11

Modeling and simulation of dynamic systems are widely used in mechanical system design and control. System identification, a process of correlation with experimental data or target data, is essential for the reliability of the implemented model. The process is possible when the relationship between various variables that affect the responses of the system can be understood. Since various assumptions and approximations are considered in the modeling process of a nonlinear system such as a multibody dynamics system, it is difficult to directly understand the relationship between variables. Therefore, a surrogate model is needed to understand the system. In this study, we propose a system identification framework using deep neural networks. This framework consists of two processes: System metamodel and System identification network. System metamodel that is trained by the nonlinear relationship between the changing output responses to the input variables of the system using a deep neural network is introduced. The data required for training the neural network is obtained from the numerical model of the system. The loss minimization process for initializing a new neural network, which is a system identification network to find an input that produces a target output is proceeded.

System Identification and Damage Estimation via Substructural Approach

Tee, K.-F.,Koh, C.-G.,Quek, S.-T. Computational Structural Engineering Institute of 2003 Computational structural engineering Vol.3 No.1

For system identification of large structures, it is not practical to identify the entire structure due to the prohibitive computational time and difficulty in numerical convergence. This paper explores the possibility of performing system identification at substructure level, taking advantage of reduction in both the number of unknowns and the number of degrees of freedom involved. Another advantage is that different portions (substructures) of a structural system can be identified independently and even concurrently with parallel computing. Two substructural identification methods are formulated on the basis whether substructural approach is used to obtain first-order or second-order model. For substructural first-order model, identification at the substructure level will be performed by means of the Observer/Kalman filter Identification (OKID) and the Eigensystem Realization Algorithm (ERA) whereas identification at the global level will be performed to obtain second-order model in order to evaluate the system's stiffness and mass parameters. In the case of substructural second-order model, identification will be performed at the substructure level throughout the identification process. The efficiency of the proposed technique is shown by numerical examples for multi-storey shear buildings subjected to random forces, taking into consideration the effects of noisy measurement data. The results indicate that both the proposed methods are effective and efficient for damage identification of large structures.

An Artificial Intelligence Based System Identification of AC-DC Power System Including a Three-Phase Controlled Rectifier

Peera Ruttanee,Kongpan Areerak,Kongpol Areerak 보안공학연구지원센터 2014 International Journal of Control and Automation Vol.7 No.12

The artificial intelligence techniques are widely applied to many works of engineering. This paper presents the application of the artificial intelligence techniques to identify the AC-DC power system parameters. The DC-link filters are normally included in such power systems. For some applications, accurate DC-link filter parameters are very important for the system analysis and design. According to the measurement errors and a large variation in a capacitor value, the parameter identification is needed to provide the accurate parameters. Therefore, the paper presents the identification of DC-link filter parameters using the adaptive tabu search technique and the genetic algorithm. The experimental results from the testing rig and the averaging model of the system are used in the searching process. The identification results show that the accurate DC-link filter parameters including line parameters on the AC side can be easily obtained via the proposed method. Moreover, the resulting parameters are very useful for a stability analysis of the power electronic systems due to a constant power load.

System identification of circadian clock in plant Arabidopsis thaliana

Mathias Foo,Hee Young Yoo,Pan-Jun Kim 제어로봇시스템학회 2013 제어로봇시스템학회 국제학술대회 논문집 Vol.2013 No.10

The use of mathematical models in describing the dynamics of circadian clock in the plant Arabidopsis thaliana is gaining popularity. Models used to describe the plant circadian clock are usually derived from laws of physics and they comprise complex nonlinear ordinary differential equations. In this paper, we build mathematical models of the core loop of plant circadian clock using system identification techniques. This core loop involves two main genes (proteins), i.e. LHY/CCA1 and TOC1. Models obtained using system identification techniques are usually simple, sufficient to describe the relevant dynamics of the system and often are able to provide physical interpretation about the system. The obtained models through system identification can be useful for control design and prediction in the event for which we want to do phenotype manipulation and for understanding the behaviour of the system respectively.

장단기 메모리 네트워크와 최소 평균 제곱 적응 필터를 활용한 능동 진동 제어 기법의 시스템 식별 성능 비교 연구

정호진,김혜진,김형모,조해성,김중관 한국항공우주학회 2023 韓國航空宇宙學會誌 Vol.51 No.7

This paper presents a comparative study of active vibration control methods through system identification. The focus is on optimizing the transfer function coefficients of the Least Mean Squares (LMS) adaptive filter and the data-based identification and prediction algorithm for hidden state with Long-Short Term Memory (LSTM). To compare the performance of the two system identification methods, a simple low pass system is used, and both methods show appropriate system identification and prediction performance with 0.005, 0.008 RMSE value with training data and 21dB, 27dB PSD reduction compared to original test data, respectively. This paper also shows system identification and data prediction performed for the rotor hub and control surfaces of a medium-sized rotary-wing aircraft, Using ABAQUS data. The results showed that the LMS adaptive filter achieved a 0.035 RMSE value with training data and a 8.78dB PSD decrease compared to the original test data, indicating appropriate system identification and prediction performance. However, the long-term memory structure experienced overfitting during training, indicating the need for network structure optimization. 최소 평균 제곱 (least mean squares, LMS) 적응형 필터의 전달 함수 계수 최적화와 장단기 메모리의 데이터 기반 hidden state 식별 및 예측 알고리즘을 활용하여 시스템 식별을 통한 능동 진동 제어 방법에 대한 비교 연구를 수행하였다. 두 시스템 식별 방법의 비교를 위해 단순 저역 통과 시스템을 먼저 고려하였으며, 두 방법 모두 적절하게 시스템 식별을 수행하여 훈련 데이터는 각각 0.005, 0.008의 RMSE 값을 보였으며 시험 데이터는 원 신호 대비 21dB, 27dB의 PSD 감소 효과를 보여 적절한 예측 성능을 보였다. 마지막으로 ABAQUS를 활용하여 중형 회전익 항공기의 로터 허브와 조종석에 대한 시스템 식별 및 데이터 예측을 수행하였다. 그 결과 LMS 적응형 필터는 0.035의 RMSE 값, 원 신호 대비 8.78dB의 PSD 감소를 보여 적절한 시스템 식별과 예측 성능을 확인하였으나 장단기 메모리 구조는 훈련 중 과적합 현상이 발생하여 네트워크 구조 최적화가 필요함을 확인하였다.

현대도서관 인포메이션 시스템에 관한 연구

김우영 대한건축학회 2005 대한건축학회논문집 Vol.21 No.9

This thesis aims to explore the physical spatial system of contemporary libraries in relation to the intelligent technology of the digital identification system. The system shows a process of searching in which users recognize the object of the search when they see it as human driven and unstructured process. The map detailed by the physical space structure of libraries has evolved in relation to the classification system but now it has faced the new way of browsing that works on wide variety of digital initiatives with the goal of providing access to digital content through a network based interface. The information service by staff and also for user encompasses a range of social resources, including index services, library catalogues, archive databases and subject gateways by the intelligent system developed in the information landscaped physical and virtual environment of the social information institutes and based on the network of information facilities.