• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2001.06a
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• pp.277-280
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• 2001

본 연구에서는 연속음성인식 시스템의 성능개선을 위한 기초 연구로서 음소결정트리 상태분할과 한국어 음성학적 지식을 이용하여 문맥의존 음향모델의 작성방법을 검토하고. 한국어 연속음성인식에 적용을 소개한다. 음소결정트리 상태분할 알고리즘은 각 노드에서 한국어 음성학적 지식으로 구성된 음소 질의어 집합에 따라 2진 트리로 SSS(Successive State Splitting) 알고리즘에 의해 상태분할 하는 방법으로서 상태분할 후 각 상태를 네트워크로 연결한 구조를 HM-Net(Hidden Markow Network)이라 하며 문맥의존 음향모델로 표현된다. 작성한 문맥의존 음향모델의 유효성을 확인하기 위해 본 연구실의 항공편 예약 문장(YNU200)에 대해 연속음성인식 실험을 수행하였다. 인식실험 결과, 문맥의존 음향모델에 대한 화자독립 연속음성인식률이 기존의 단일 HMM 모델보다 평균적으로 1-pass의 경우 9.9%, 2-pass의 경우 4.1% 향상된 인식률을 보였다. 따라서 문맥의존 음향모델을 작성하는데 음소결정트리 상태분할과 한국어 음성학적 지식이 유효함을 확인하였다.

• Korean Journal of Child Studies
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• v.26 no.4
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• pp.113-123
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• 2005

This study compared student teachers' perceptions about teaching practices and the current state of practice teaching before and after practice teaching. Subjects were 96 students at three-year colleges in Suncheon, Jollanam-do. The survey used a questionnaire, 'kindergarten teachers' recognition of practice teaching and the current state of practice teaching,'(Woo and Choi 2004), revised for this research. Differences were observed in mean scores between before and after practice teaching(t=4.30, p<.001). In sub-areas, significant differences were observed in the role of student teachers, the contents of teaching, support system, evaluation and preliminary guidance(p<.001), but not in the evaluation of practice teaching and student teachers' attitudes(p>.05). This information should be beneficial for teachers' colleges in preparation of practice teaching programs.

• Journal of the Korean Society of Marine Environment & Safety
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• v.2 no.1
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• pp.143-143
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• 1996

Recent Class requirements and IMO recommendations concerning Hull Strength Monitoring (HSM) have prompted an increasing number of shipowner to adopt monitoring systems on bulk carriers and tanker. Such systems are designed to give warning when stress levels and the frequency and magnitude of ship motions approach levels which require corrective action. When fitted these systems provide enhanced operational safety and efficiency. This paper describes a development beyond the standard BMT HSM system through the integration of stress, motion and radar-based sea state monitoring with powerful, on-board, artificial intelligence (AI) tools. The latter utilises conceptual clustering techniques as an aid to pattern recognition in stress, fatigue. motion and sea state data clusters. This, in turn, provides additional operational guidance for ship's staff. Feedback from applications of the standard BMT HSM and extended HSM systems on board the British Steel Bulk Shipping fleet is described.

• Journal of Electrical Engineering and Technology
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• v.13 no.1
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• pp.270-279
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• 2018

This paper elucidates a hysteresis current controller for enhancing the performance of static synchronous compensator (STATCOM) using cascaded H-bridge multilevel inverter. Due to the rising power demand and growing conventional generation costs a new alternative in renewable energy source is gaining popularity and recognition. A five level single phase cascaded multilevel inverter with two separated dc sources, which is energized by photovoltaic - wind hybrid energy source. The voltages across the each dc source is balanced and standardized by the proposed hysteresis current controller. The performance of STATCOM is analyzed by connecting with grid connected system, under the steady state & dynamic state. To reduce the Total Harmonic Distortion (THD) and to improve the output voltage, closed loop hysteresis current control is achieved using PLL and PI controller. The performance of the proposed system is scrutinized through various simulation results using matlab/simulink and hardware results are also verified with simulation results.

• Journal of the Korean Society for Precision Engineering
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• v.7 no.2
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• pp.47-57
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• 1990

In-process recognition of the cutting states is one of the very important technologies to increase the reliability of mordern machining process. In this study, practical methods which use the dynamic component of the cutting force are proposed to recognize cutting states (i.e. chip formation, tool wear, surface roughness) in turning process. The signal processing method developed in this study is efficient to measure the maximum amplitude of the dynamic component of cutting force which is closely related to the chip breaking (cut-off frequency : 80-500 Hz) and the approximately natural frequency of cutting tool (5, 000-8, 000 Hz). It can be clarified that the monitoring of the maximum apmlitude in the dynamic component of the cutting force enables the state of chip formation which chips can be easily hancled and the inferiority state of the machined surface to be recognized. The microcomputer in-process tool wear monitor- ing system introduced in this paper can detect the determination of the time to change cutting tool.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.6-9
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• 2015

Traditional project management theory is based on a three-dimensional life cycle approach where the project managerseeks to optimize the dimensions of cost-schedule-technical (quality or design). This paper reports the findings of a case study analysis of two complex mega-projects in Michigan which confirm the findings of previous research and illustrates the use of a framework for five-dimensional project management (5DPM) that is for conceptualizing a complex project's scope of work. The framework elevates the recognition that the project's social/political context and the financial arrangements create complexity adding two new dimensions. This paper also demonstrates a methodology to graphically display a project's complexity to better understand and prioritize the available resources. The result is a "complexity footprint" that may help a complex project manager identify the boundary between controllable and uncontrollable projects impacts. The paper finds that applying 5DPM to the two case study projects has given the project delivery team a tool which is actually adding value to the complex project management process.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.3
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• pp.1100-1118
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• 2021

In a wide range of ML applications, the training data contains privacy-sensitive information that should be kept secure. Training the ML systems by privacy-sensitive data makes the ML model inherent to the data. As the structure of the model has been fine-tuned by training data, the model can be abused for accessing the data by the estimation in a reverse process called model inversion attack (MIA). Although, MIA has been applied to shallow neural network models of recognizers in literature and its threat in privacy violation has been approved, in the case of a deep learning (DL) model, its efficiency was under question. It was due to the complexity of a DL model structure, big number of DL model parameters, the huge size of training data, big number of registered users to a DL model and thereof big number of class labels. This research work first analyses the possibility of MIA on a deep learning model of a recognition system, namely a face recognizer. Second, despite the conventional MIA under the white box scenario of having partial access to the users' non-sensitive information in addition to the model structure, the MIA is implemented on a deep face recognition system by just having the model structure and parameters but not any user information. In this aspect, it is under a semi-white box scenario or in other words a gray-box scenario. The experimental results in targeting five registered users of a CNN-based face recognition system approve the possibility of regeneration of users' face images even for a deep model by MIA under a gray box scenario. Although, for some images the evaluation recognition score is low and the generated images are not easily recognizable, but for some other images the score is high and facial features of the targeted identities are observable. The objective and subjective evaluations demonstrate that privacy cyber-attack by MIA on a deep recognition system not only is feasible but also is a serious threat with increasing alert state in the future as there is considerable potential for integration more advanced ML techniques to MIA.

• Korean Journal of Human Ecology
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• v.16 no.4
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• pp.711-722
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• 2007

The purpose of this study was to analyzed child care teachers' health state and a relationship between health promoting lifestyle and job stress of child care teachers. The subjects were 101 child care teachers in Busan. They responded to 'health state open ended question', 'health promoting lifestyle scale', and 'job stress scale'. For the analysis of the data, M(SD), frequencies, t-test, Pearson's correlation were run by using SPSS WIN computer program. The major findings of this study were as follows; First, the most uncomfortable symptoms of child care teacher's physical health state was respiratory organs and the main cause was classroom ventilation and dust. The most uncomfortable symptoms of child care teacher's mental health state was tension and the main cause was children's safety. Second, the mean scores of the variables were as follows : the mean score of health promoting lifestyle was 2.54. The highest sub factor of health promoting lifestyle was 'positive self recognition' and the lowest one was 'exercising'. The mean score of job stress was 2.80 and the highest sub factor was 'administration services'. They desire for a healthy life, but in reality, they are unsatisfied with their current health state and they are not able to practice certain actions actively to promote their health. Third, health promoting lifestyle was negatively correlated with job stress. The result of this study can be used as the basic data for reducing day care teacher's job stress, development of a program to promote day care teacher's health and improving day care teachers working environment.

• Journal of Contemporary Eastern Asia
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• v.17 no.1
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• pp.50-67
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• 2018

Heritage has entered the center stage of public diplomacy in East Asia. Competition to claim and interpret memories of World War II in East Asia has driven campaigns to list heritage items with UNESCO. State and non-state actors aim to use heritage listings to present a particular view of the war and related history to domestic and international audiences. This paper highlights the role of heritage soft power in East Asia's "memory contests" by examining the promotion of dissonant modern heritage in UNESCO's heritage programs. It conceptualizes heritage designation as a soft power resource in East Asia and presents a conceptual framework for understanding the hegemonic competition over the "memory regime" that emerged from the structural change in East Asia's regional order. It then uses this framework to analyze the processes by which state and non-state actors promote and/or object to UNESCO recognition of their sites and documents as heritage of outstanding universal value or world significance. The elements of this process are illustrated with case studies of two very different pieces of heritage, Japan's "Sites of the Meiji Industrial Revolution" and China's "Documents of Nanjing Massacre," which were enshrined as significant world heritage in 2015. While state and non-state actors in East Asia are increasingly recognizing the utility of heritage as a soft power resource for advancing specific historical narratives to an international audience, a backlash movement from civil society groups and governments in other countries prevents a purely unilateral interpretation. As a result, the utility of heritage soft power in this context must be significantly qualified.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.6
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• pp.470-477
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• 2015

This paper presents a new technique for generating an optimum synchronizable test sequence that can be applied in the distributed test architecture where both external synchronization and input/output operation costs are taken into consideration. The method defines a set of phases that constructs a tester-related digraph from a given finite state machine representation of a protocol specification such that a minimum cost tour of the digraph with intrinsically synchronizable transfer sequences can be used to generate an optimum synchronizable test sequence using synchronizable state identification sequences as the state recognition sequence for each state of the given finite state machine. This hybrid approach with a heuristic and optimization technique provides a simple and elegant solution to the synchronization problem that arises during the application of a predetermined test sequence in some protocol test architectures that utilize remote testers.