• Proceedings of the KIEE Conference
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• 1997.07c
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• pp.927-929
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• 1997

In this paper, a new expert system scheme, called Logic Based Expert System (LBES), is proposed for real time fault diagnosis of power system. In LBES, Expertise is represented by logical connectives and converted into a Boolean function. The set of Prime Implicants (PIs) of the Boolean function contains all the sound inference results which can be obtained from the expertise. Therefore, off-line inference is possible by off-line PI identification, which reduces the on-line inference time considerably and makes it possible to utilize-the LBES in real-time environment.

• Journal of the Society of Naval Architects of Korea
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• v.46 no.6
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• pp.631-640
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• 2009

The highest priority of the cruise trip is the safety and comfort of its passengers. Though the cruise lines take every appropriate measure to ensure that their Passengers are safe and experience enjoyable vacations it is hard to fulfill all passenger's personnel requirement with limited number of crews. Generally, each passenger is issued an identification card which contains their digital photo and personal identification information on a magnetic strip that he or she must present when entering or leaving the ship. This technology allows the ship to know which Passengers and crew members are on board and which are not. However, this system has some limitations of functions and usage. To support each passenger as his or her personal liking, additional number of crews or some kind of new system is needed. In this paper, the crew support system based on sensor network using wireless and wired communication technologies was studied. To design the system, PLC(Power Line Communication) system and ZigBee based passenger location recognition, classification system has studied experimentally. By using this system, crews can serve passengers more closely and personally with less effort.

• Journal of Electrical Engineering and Technology
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• v.8 no.2
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• pp.288-294
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• 2013

The diagnosis of motor failures using an on-line method has been the aim of many researchers and studies. Several spectral analysis techniques have been developed and are used to facilitate on-line diagnosis methods in industry. This paper discusses the first application of a motor flux spectral analysis to the identification of broken rotor bar (BRB) faults in induction motors using a multiple signal classification (MUSIC) technique as an on-line diagnosis method. The proposed method measures the leakage flux in the radial direction using a radial flux sensor which is designed as a search coil and is installed between stator slots. The MUSIC technique, which requires fewer number of data samples and has a higher detection accuracy than the traditional fast Fourier transform (FFT) method, then calculates the motor load condition and extracts any abnormal signals related to motor failures in order to identify BRB faults. Experimental results clearly demonstrate that the proposed method is a promising candidate for an on-line diagnosis method to detect motor failures.

• Food Science and Biotechnology
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• v.17 no.4
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• pp.846-849
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• 2008

This study employed high performance liquid chromatography (HPLC) coupled to an on-line $ABTS^+$ radical scavenging detection (RSD) system along with HPLC-electro spin impact/mass spectrometry (ESI/MS), to rapidly determine and identify antioxidant compounds occurring in blueberry extract. The extract was separated by HPLC, and then the radical scavenging activities of the separated compounds were evaluated by the on-line coupled $ABTS^+$-RSD system. The negative peaks of the $ABTS^+$-RSD system, which indicates the presence of antioxidant activity, were monitored by measuring the decrease in absorbance at 734 nm. The active components in the blueberry extract were identified by HPLC-ESI/MS using their MS spectra and retention times. According to the data acquired from the on-line HPLC-$ABTS^+$-based assay and HPLC-ESI/MS systems, the antioxidant compounds detected in the blueberry extract were identified as chlorogenic acid and 11 anthocyanins.

• Journal of the Korean Society for information Management
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• v.20 no.4 s.50
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• pp.195-210
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• 2003

With the rapid development of information technology and internet in these days, resources of knowledge information have been digitalized and distributed on the internet, However, the location of digital content and a change of content have generated problems for users access and services. In line with this regard, the research on the identification of digital content utilizing standardized identification system and distribution system is necessary. This study intends to contribute to the implementation of information system based on standard digital identifier for the effective management and safe distribution of digital contents. This study first tries to survey SDI outline, practical application case and distributed business model and to analyze information distribution status Finally, this study tries to draw up a plan for the establishment of KISTI's SDI. content identification system, content distribution system.

• Smart Structures and Systems
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• v.17 no.6
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• pp.903-915
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• 2016

The classical Kalman filter (KF) provides a practical and efficient state estimation approach for structural identification and vibration control. However, the classical KF approach is applicable only when external inputs are assumed known. Over the years, some approaches based on Kalman filter with unknown inputs (KF-UI) have been presented. However, these approaches based solely on acceleration measurements are inherently unstable which leads poor tracking and so-called drifts in the estimated unknown inputs and structural displacement in the presence of measurement noises. Either on-line regularization schemes or post signal processing is required to treat the drifts in the identification results, which prohibits the real-time identification of joint structural state and unknown inputs. In this paper, it is aimed to extend the classical KF approach to circumvent the above limitation for real time joint estimation of structural states and the unknown inputs. Based on the scheme of the classical KF, analytical recursive solutions of an improved Kalman filter with unknown excitations (KF-UI) are derived and presented. Moreover, data fusion of partially measured displacement and acceleration responses is used to prevent in real time the so-called drifts in the estimated structural state vector and unknown external inputs. The effectiveness and performance of the proposed approach are demonstrated by some numerical examples.

• The Korean Nurse
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• v.37 no.1
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• pp.107-115
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• 1998

There is an important concern regarding the First-line nurse manager's leadership because of the recognition that effectiveness of Leadership in this position results in benefits for the whole health care organization. So knowledge and practice of effective leadership behavior are now more essential to nursing than ever before. First-line Nurse Managers must be effective leaders to meet today's challenge because staff nurse, patient are affected by them. So the purpose of this study was to identify and to analyse the need for Leadership program of First-Line nurse managers in university hospitals. There were three major purposes of this study. First, identify First-line nurse managers general characteristic, second, identify their experience of leadership training, third, identify and analysis their demands for leadership training program. The subjects for this study was 167 First-line nurse manager randomly from 18 university hospitals in Korea. The data were collected through questionnaires from Oct. 13th to Nov. 20th, 1997, data was analysed using frequencies and percentages. Especially the steps of analysis of descriptions were as follows: Initial analysis centered on the identification of the demands of first-line nurse managers. Later analysis collapsed the demands into broad categories. From the collect data, 283 demands of first-line nurse managers were identified. These demands were then sorted into 3 broad categories that included : Self development as first-line nurse managers, relationship with others, and practice. The result of the study were as follows ; 1) Most of nurse managers(79.6%) had leadership training course and had good experience to improve self leadership. 2) Their demands of leadership training course are as follows First, for self as first-line nurse managers, they want to learn leadership theory, identify their leadership style and then develop their leadership skill. Second, for others as first-line nurse managers, they want to improve their communication skill, empowering others, relationship with others. Third, for patients as first-line nurse managers, improve their knowledge of practice. From the above finding, this study can be suggested the following; 1. Develope a leadership training course to improve first- line nurse manager's leadership skill according to their demands, so they will be better able to lead staff nurses for organization purposes. 2. When develope leadership training program, it must be contained the factors which first-line nurse managers want to learn.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.5
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• pp.956-961
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• 2006

Keystroke time intervals can be a discriminating feature in the verification and identification of computer users. This paper presents a comparison result obtained using several classification methods including k-NN (k-Nearest Neighbor), back-propagation neural networks, and Bayesian classification for keystroke identification. Performance of k-NN classification was best with small data samples available per user, while Bayesian classification was the most superior to others with large data samples per user. Thus, for web-based on-line identification of users, it seems to be appropriate to selectively use either k-NN or Bayesian method according to the number of keystroke samples accumulated by each user.

• Archives of Pharmacal Research
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• v.22 no.2
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• pp.189-193
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• 1999

Reversed-phase high-performance liquid chromatography/mass spectrometry (HPLC/MS) with an eletcrospray ionization (ESI) interface was applied to the identification of metabolites of IY81149 in the rat plasma. Fragments obtained using collision-induced dissociation (CID) in both positive and negative modes were utilized to elucidate the structure of metabolites. The eluent from the conventional HPLC column was split and directly introduced into an ESI-mass spectrometer for the identification of the structures. the CID technique allowed the sensitive identification of sulfonyl-IY81149 and hydroxy-IY81149 from the rat plasma.

• Anatomy and Cell Biology
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• v.56 no.3
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• pp.322-327
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• 2023

The aim of this study was to elucidate the intramuscular arborization of the teres minor muslce for effective botulinum neurotoxin injection. Twelve specimens from 6 adult Korean cadavers (3 males and 3 females, age ranging from 66 to 78 years) were used in the study. The reference line between the 2/3 point of the axillary border of the scapula (0/5), where the muscle originates ant the insertion point of the greater tubercle of the humerus (5/5). The most intramuscular neural distribution was located on 1/5-3/5 of the muscle. The tendinous portion was observed in the 3/5-5/5. The result suggests the botulinum neurotoxin should be delivered in the 1/5-3/5 area of the teres minor muscle.