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A Study on the Key Sucess factors Analysis Based on the Malcolm Baldridge National Quality Award (Malcolm Baldridge National Quality Award의 평가모델에 근거한 핵심성공요인분석)

  • Jung, Kyung-Hee;Cho, In-Hee;Kim, Sung-Je;Cho, Jai-Rip
    • Journal of the Korea Safety Management & Science
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    • v.10 no.4
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    • pp.297-307
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    • 2008
  • At the spots of enterprises experiencing rapid environmental changes, necessity for ceaseless managemental innovation is raised. We can't deny that management quality is also a part of such managemental innovation. Introduction of management quality by an organization is different from introduction of other individual innovative techniques. Management quality is not one time project but complete historical change program to be pursued continuously. Furthermore, it must be understood as a strategic 'Quality Journey' looking for far future of an organization. Malcolm Baldrige Model has been increasingly used in Korea as a global standard for management quality. The model, however, has shown a number of limitations in application due to nonsystematic elements in the implementation process. The deployment process of the model should be detailed through a real world case study. In this research, we proposed a quality evaluation standard model which is suitable for the Korean public enterprise based on the Malcolm Baldrige Non-profit Criteria, and examined the model. A 7-Point Likert Scale was used based on the seven categories within the 2007 Malcolm Baldrige Non-profit Criteria: Leadership, Strategic Planning, Customer and Market Focus, Management Analysis and Knowledge Management, Workforce Focus, Process Management, and Results. Furthermore, we analysed the validity and causal relationship among the factors within the model. Through the above case study, following common factors for successful Malcolm Baldrige Model have been derived. The following is a summary of the results of this study. First, for Malcolm Baldrige Model management, needs powerful support Leadership. Second, for Malcolm Baldrige Model management, needs systematic Strategic Planning. Third, for Malcolm Baldrige Model management, needs the continuous Customer and Market Focus. Fourth, for Malcolm Baldrige Model management, needs systematic Measurement Analysis and Knowledge Management. Five, for Malcolm Baldrige Model management, needs systematic Workforce Focus. Six, for Malcolm Baldrige Model management, needs systematic Process Management. The finding are surely necessary factors to arrange the human resource management for upgraded management quality, those factors help to explain why all enterprises consider human resource as the strategic view.

Implementation of Gait Analysis System Based on Inertial Sensors (관성센서 기반 보행 분석 시스템 구현)

  • Cho, J.S.;Kang, S.I.;Lee, K.H.;Jang, S.H.;Kim, I.Y.;Lee, J.S.
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.9 no.2
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    • pp.137-144
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    • 2015
  • In this paper, we present an inertial sensor-based gait analysis system to measure and analyze lower-limb movements. We developed an integral AHRS(Attitude Heading Reference System) using a combination of rate gyroscope, accelerometer and magnetometer sensor signals. Several AHRS modules mounted on segments of the patient's body provide the quaternions representing the patient segments's orientation in space. And a method is also proposed for calculating three-dimensional inter-segment joint angle which is an important bio-mechanical measure for a variety of applications related to rehabilitation. To evaluate the performance of our AHRS module, the Vicon motion capture system, which offers millimeter resolution of 3D spatial displacements and orientations, is used as a reference. The evaluation resulted in a RMSE(Root Mean Square Error) of 1.08 and 1.72 degree in yaw and pitch angle. In order to evaluate the performance of our the gait analysis system, we compared the joint angle for the hip, knee and ankle with those provided by Vicon system. The result shows that our system will provide an in-depth insight into the effectiveness, appropriate level of care, and feedback of the rehabilitation process by performing real-time limb or gait analysis during the post-stroke recovery.

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Design and Implementation of IR-UWB Packet Analyzer Based on IEEE 802.14.5a (IEEE 802.15.4a IR-UWB 패킷 분석기 설계 및 구현)

  • Lim, Sol;Lee, Kye Joo;Kim, So Yeon;Hwang, Intae;Kim, Dae Jin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.12
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    • pp.2857-2863
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    • 2014
  • IR-UWB has been developed as a standard of indoor ranging technology, because it has robust and good transmission characteristics in indoor environments and it can be operated with low power. In this paper, a IR-UWB packet analyzer is designed and implemented based on IEEE 802.15.4a, which is useful in developing IR-UWB real time location system with resolution of a few ten centimeters. A sniffer device of the packet analyzer monitors IR-UWB wireless networks, captures MAC packet frames, and transmits packet frames to the packet analyzing computer. The packet analyzing program in a computer analyzes received MAC packet frames and displays parsed packet information for developing engineers. Developed packet analyzer is used to analyze IEEE 802.15.4a MAC protocol, and also it can be used in other IEEE 802 series MAC protocol by modifying some functions.

Fast Stream Cipher AA32 for Software Implementation (소프트웨어 구현에 적합한 고속 스트림 암호 AA32)

  • Kim, Gil-Ho;Park, Chang-Soo;Kim, Jong-Nam;Cho, Gyeong-Yeon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.6B
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    • pp.954-961
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    • 2010
  • Stream cipher was worse than block cipher in terms of security, but faster in execution speed as an advantage. However, since so far there have been many algorithm researches about the execution speed of block cipher, these days, there is almost no difference between them in the execution speed of AES. Therefore an secure and fast stream cipher development is urgently needed. In this paper, we propose a 32bit output fast stream cipher, AA32, which is composed of ASR(Arithmetic Shifter Register) and simple logical operation. Proposed algorithm is a cipher algorithm which has been designed to be implemented by software easily. AA32 supports 128bit key and executes operations by word and byte unit. As Linear Feedback Sequencer, ASR 151bit is applied to AA32 and the reduction function is a very simple structure stream cipher, which consists of two major parts, using simple logical operations, instead of S-Box for a non-linear operation. The proposed stream cipher AA32 shows the result that it is faster than SSC2 and Salsa20 and satisfied with the security required for these days. Proposed cipher algorithm is a fast stream cipher algorithm which can be used in the field which requires wireless internet environment such as mobile phone system and real-time processing such as DRM(Digital Right Management) and limited computational environments such as WSN(Wireless Sensor Network).

Design and Implementation of Real-Time Support System for Purchasing Activities Based on Ambient Service Model (엠비언트 서비스 모델 기반의 실시간 구매활동 지원 시스템 설계 및 구현)

  • Seo, Kyung-Seok;Lee, Ryong;Jang, Yong-Hee;Kwon, Yong-Jin
    • Spatial Information Research
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    • v.18 no.2
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    • pp.67-75
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    • 2010
  • When people are shopping at a large shopping mall, they usually become to go around many stores for looking for better products and comparing them. In this paper, we design and implement a purchasing activity support system based on an Ambient Service Model that provides relevant stores information on map interface hierarchically through user contexts based search, to support such user's purchasing activities with the help of relevant information. In this system, users can search for relevant stores information through the system by Ambient Query which is created by their location and stores information with a mobile device. Then, users obtain relevant stores information provided in the form of hierarchy of keywords as a highly condensed summary and easily figure out the locations of the stores on a map interface. Moreover, users search additional other kinds of relevant stores information over the hierarchy of keywords. Eventually, users can obtain relevant stores information intuitively and conveniently without complex search processes. We implemented this system by integrating the subordinate technologies such as RFID, map-based, location-based and ontology technology. We also performed experiments on a well-known shopping region (Ilsan Lapesta shopping mall, Goyang-city Gyeonggi-do, Korea). Finally, we also confirmed that users' shopping activities were significantly improved by utility the present system.

Efficient Multiplex Audio Monitoring System in Digital Broadcasting (디지털 방송에서 효율적인 다중 오디오 모니터링 시스템)

  • Kim, Yoo-Won;Sohn, Surg-Won;Jo, Geun-Sik
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.7
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    • pp.91-98
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    • 2008
  • In digital broadcasting, it is possible to multiplex maximum one hundred audio or music programs into MPEG-2 transport stream, which is suitable for transmitting through one channel. In order to check if multiplex music programs are transmitted well, we need a multiplex audio monitoring system that monitors the programs in real-time. In analog broadcasting, we have used hardware-based audio monitoring system for a small number music programs. However, the effectiveness of hardware-based audio monitoring system from the cost and function viewpoint is so low that a new system is needed for digital broadcasting. In this paper, we have designed and implemented a software-based audio monitoring system to satisfy these requirements. In this implementation, only one PC is used without other hardware facilities, and the system monitors digital broadcasting music programs effectively. Transmitted digital broadcasting streams are demultiplexed into many music programs and the realtime value of audio level and packet error information for these programs are displayed in the screen. Thus, the system detects and shows the abnormal transmitting programs automatically. Simulation results show that effective realtime multiplex audio monitoring is possible for digital broadcasting music programs.

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Magnetic Markers-based Autonomous Navigation System for a Personal Rapid Transit (PRT) Vehicle (PRT 차량을 위한 자기표지 기반 무인 자율주행 시스템)

  • Byun, Yeun-Sub;Um, Ju-Hwan;Jeong, Rag-Gyo;Kim, Baek-Hyun;Kang, Seok-Won
    • Journal of Digital Convergence
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    • v.13 no.1
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    • pp.297-304
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    • 2015
  • Recently, the demand for a PRT(Personal Rapid Transit) system based on autonomous navigation is increasing. Accordingly, the applicability investigations of the PRT system on rail tracks or roadways have been widely studied. In the case of unmanned vehicle operations without physical guideways on roadways, to monitor the position of the vehicle in real time is very important for stable, robust and reliable guidance of an autonomous vehicle. The Global Positioning System (GPS) has been commercially used for vehicle positioning. However, it cannot be applied in environments as tunnels or interiors of buildings. The PRT navigation system based on magnetic markers reference sensing that can overcome these environmental restrictions and the vehicle dynamics model for its H/W configuration are presented in this study. In addition, the design of a control S/W dedicated for unmanned operation of a PRT vehicle and its prototype implementation for experimental validation on a pilot network were successfully achieved.

Learning for Environment and Behavior Pattern Using Recurrent Modular Neural Network Based on Estimated Emotion (감정평가에 기반한 환경과 행동패턴 학습을 위한 궤환 모듈라 네트워크)

  • Kim, Seong-Joo;Choi, Woo-Kyung;Kim, Yong-Min;Jeon, Hong-Tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.1
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    • pp.9-14
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    • 2004
  • Rational sense is affected by emotion. If we add the factor of estimated emotion by environment information into robots, we may get more intelligent and human-friendly robots. However, various sensory information and pattern classification are prescribed for robots to learn emotion so that the networks are suitable for the necessity of robots. Neural network has superior ability to extract character of system but neural network has defect of temporal cross talk and local minimum convergence. To solve the defects, many kinds of modular neural networks have been proposed because they divide a complex problem into simple several subproblems. The modular neural network, introduced by Jacobs and Jordan, shows an excellent ability of recomposition and recombination of complex work. On the other hand, the recurrent network acquires state representations and representations of state make the recurrent neural network suitable for diverse applications such as nonlinear prediction and modeling. In this paper, we applied recurrent network for the expert network in the modular neural network structure to learn data pattern based on emotional assessment. To show the performance of the proposed network, simulation of learning the environment and behavior pattern is proceeded with the real time implementation. The given problem is very complex and has too many cases to learn. The result will show the performance and good ability of the proposed network and will be compared with the result of other method, general modular neural network.

Design and Implementation of IEEE 11073/HL7 Translation Gateway Based on U-Healthcare Application Service for M2M (M2M을 위한 U-헬스케어 응용 서비스 기반 IEEE 11073/HL7 변환 게이트웨이 설계 및 구현)

  • Chun, Seung-Man;Nah, Jae-Wook;Park, Jong-Tae
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.3B
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    • pp.275-286
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    • 2011
  • As the 21st century paradigm of healthcare service changes from post-therapeutic treatment to disease prevention and management in advance, the M2M-based u-healthcare application service is increasingly important. M2M-based u-healthcare application service uses mobile handsets equipped with sensors to measure vital information, and the medical staff in remote locations can manage the health of the patient or the public in real time. In this paper, IEEE/HL7 translation gateway, utilizing the gateway based on M2M u-healthcare application service structure, which is based on international standards, has been designed and implemented. Specifically, the gateway between ISO/IEEE 11073 standards and ANSI HL7 has been developed. The former defines the protocol for the exchange of information between the agent device and the manger devices for measuring and handling biological signal, and the latter defines the application layer protocol for the exchange of various healthcare information systems. Finally, in order to demonstrate the functionality of the proposed architecture, the M2M-based U-healthcare application service based on IEEE/HL7 translation gateway, utilizing the gateway, has been developed which can measure, collect and process a variety of vital signs such as ECG or SpO2.

Implementation of Improved Frame Slotted ALOHA Algorithm for Fast Tag Collection in an Active RFID System (고속 태그 수집을 위한 개선된 능동형 RFID 시스템용 프레임 Slotted ALOHA 알고리즘 구현)

  • Kim, Ji-Tae;Kang, Byeong-Gwon;Lee, Kang-Won
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39B no.9
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    • pp.598-605
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    • 2014
  • In this paper, we suggest a modified slotted ALOHA algorithm for fast tag collection in active RFID system and implement the reader and tag operation using CC2530 chip of Texas Instruments Co. to prove the performance of the proposed algorithm. In the present international standard related with active RFID including ISO/IEC 18000-7 the reader sends sleep command to each tag after successful obtaining tag's information. Meanwhile, in this paper, the tags decide to sleep after checking the second command from the reader resulting in enormously decreased tag collection time. We tested the proposed algorithm with 30 tags over the range of 0-3m and the results showed that the tag collection process was completed in 400msec at average. And 30 tags are collected in one second with 99.7% and the collection rate is 100% in 2m distance between reader and tag. The collection rates are 99.94% and 99.7% for distance 2.5m and 3m, respectively. The average collection rate is 99.91% over all range and it is concluded that the proposed algorithm is enough to apply to real fields.