• 대한상한금궤의학회지
• /
• v.6 no.1
• /
• pp.1-25
• /
• 2014

Objective : The purpose of this study is exploring value of Shanghanlun six diagnostic system as Narrative Medicine by analyzing cases. Methods : In the article, we examined the theory of narrative medicine and current studies. And then key elements of narrative medicine was defined. On the basis of these, two medical cases were analyzed by reordering in accordance with time sequences and causality for confirming narrative factors. Results : The narrative approach to analyzing cases shows us that different diseases could be the result of same pathological patterns based on Shanghanlun. This tells us following four aspects. [1] Shanghanlun is the causes-oriented records and the text includes narrative factors. [2] Shanghanlun six diagnostic system is a process of constructing plot of medical case history through the clinical interpretation of contextual meaning of patient's life. [3] In the process of diagnosis, Schemata and script are engaged in assuming and confirming six patterns diseases. [4] The subjective factors of an individual can be applied universally through the provision of Shanghanlun. Conclusions : Narrative factors of Shanghanlun six diagnostic system suggest the possibility and value of Shanghan Medicine as Narrative Medicine in terms of Medical Humanities, essence of medical diagnosis and therapeutic action.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.22 no.3
• /
• pp.548-556
• /
• 2018

NMS (Network Management System) is a system that is used for a small or large networks management. As the size of network becomes larger and the configuration information become complicated, it becomes more difficult to grasp the network status and it takes much time to diagnose the failure of the network equipment. In this paper, to alleviate the problems of NMS we implement web-based network topology automatically using JavaScript, Python, HTML5 based TWaver. The detailed implementation of the system include the automatic collection of the connection information based on the equipment information registered in the NMS system, the implementation of the web-based network topology and the remote fault diagnosis. In the network topology, we can expect to improve the quality of the NMS system through structured data management by adding the configuration management, fault management and performance management functions in a comprehensive manner.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2000.04a
• /
• pp.435-442
• /
• 2000

만성질병, 식습관, 영양등 스트레스에 시달리는 현대인의 건강 상태를 파악하는 일은 매우 중요하며 또한 필요하다. 그러나 식이 섭취 평가는 많은 분야의 자료와 지식을 필요로 하기 때문에 손쉽게 일반인이 신뢰성 있는 평가는 얻기는 쉽지 않다. 본 연구는 식품, 영양, 조리, 만성질병, 식습관 등의 여러 전문 분야의 자료와 지식을 기반으로 한 웹 상에서의 영양 평가 시스템으로 '건강 관리를 위한 사이버 식생활 자가 진단 시스템(Cyber Food Self Diagnosis Program, 이하 Cyber-FSDP)'의 설계 및 구축에 관한 것이다. 바탕으로 한다. 초고속 통신망을 이용하여 사람들의 건강문제와 관련된 식생활 정보를 수집하고, 개인별 식생활을 사용자와 상호작용하게 온라인으로 평가·진단하여 이를 개선하고 궁극적으로는 만성질병 위험도를 감소시키고 건강을 증진시킬 수 있는 영양 및 만성 질병 평가 전문가 시스템을 구축한 사례에 대한 Web 응용 프로그램 개발을 소개하며, 개발환경으로는 서버를 엔터프라이즈 3000 Solaris 2.5.1을 사용했으며, DBMS는 IUS (Illustra Universal Server)를 사용하였고, APB(App Page Builder), JabaScript, HTML 등의 언어로 구현되었다.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.4
• /
• pp.598-604
• /
• 2022

The academic information system of a university is the core system of the university, and since it has to manage all the various activities in the university, such as student academic records, it becomes complicated every year and the data increases indiscriminately. As a result, the reliability of the data of the academic information system is lowered, which causes communication problems with users and may cause a major failure in the system. Therefore, in this paper, column attribute analysis, allowable value list analysis, string pattern analysis, date type analysis, and unique value analysis methods were designed for the academic information system using the data profiling technique of data quality management. In the implementation stage, the script was implemented using the above five analysis methods, and by executing the script, errors by type of the academic information system were found, the cause of the error was found and corrected inside the system, and the probability of internal system failure was lowered.

• Journal of Korean Critical Care Nursing
• /
• v.3 no.2
• /
• pp.61-76
• /
• 2010

Purpose: This study was aimed to construct an algorithm of dyspnea emergency care and develop a simulation scenario for emergency care of dyspnea based on the algorithm. Methods: The first stage of this methodological study was to construct a preliminary algorithm based on a literature review, and content and clinical validity were established. Reflecting the result of content and clinical validity for this preliminary algorithm, simulation scenario was developed based on the modified Bay Area Simulation Collaborative scenario template. The content validity of this scenario was established, and clinical applicability was tested by applying this scenario to nurses. Results: The final simulation scenario of emergency care of dyspnea consisted of scenario overview, curricular integrity, and scenario script. The scenario was proceeded on 7 phases of the algorithm as follows; initial assessment, immediate emergency care, reassessment of dyspnea, monitoring respiratory failure, checking pulse if respiratory failure occurs, decision making on cardiopulmonary resuscitation or intubation, determining a differential diagnosis according to origin of dyspnea. Conclusion: The simulation scenario of emergency care of dyspnea developed in this study may provide a strategy of simulation education for emergency care of dyspnea for nurses.

• Journal of Information Technology Services
• /
• v.20 no.3
• /
• pp.1-12
• /
• 2021

Reactor Coolant Pump (RCP) is core part of nuclear power plant to provide the forced circulation of reactor coolant for the removal of core heat. Properly monitoring vibration of RCP is a key activity of a successful predictive maintenance and can lead to a decrease in failure, optimization of machine performance, and a reduction of repair and maintenance costs. Here, we developed real-time RCP Vibration Analysis System (VAS) that web based platform using NoSQL DB (Mongo DB) to handle vibration data of RCP. In this paper, we explain how to implement digital signal process of vibration data from time domain to frequency domain using Fast Fourier transform and how to design NoSQL DB structure, how to implement web service using Java spring framework, JavaScript, High-Chart. We have implement various plot according to standard of the American Society of Mechanical Engineers (ASME) and it can show on web browser based on HTML 5. This data analysis platform shows a upgraded method to real-time analyze vibration data and easily uses without specialist. Furthermore to get better precision we have plan apply to additional machine learning technology.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.19 no.3
• /
• pp.245-251
• /
• 2023

Facial expression recognition plays a significant role in understanding human emotional states. With the advancement of AI and computer vision technologies, extensive research has been conducted in various fields, including improving customer service, medical diagnosis, and assessing learners' understanding in education. In this study, we develop a model that can infer emotions in real-time from a webcam using transfer learning with TensorFlow.js and MobileNet. While existing studies focus on achieving high accuracy using deep learning models, these models often require substantial resources due to their complex structure and computational demands. Consequently, there is a growing interest in developing lightweight deep learning models and transfer learning methods for restricted environments such as web browsers and edge devices. By employing MobileNet as the base model and performing transfer learning, our study develops a deep learning transfer model utilizing JavaScript-based TensorFlow.js, which can predict emotions in real-time using facial input from a webcam. This transfer model provides a foundation for implementing facial expression recognition in resource-constrained environments such as web and mobile applications, enabling its application in various industries.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
• /
• v.28 no.2
• /
• pp.106-111
• /
• 2017

Background and Objectives : The purpose of this study was to investigate the criterion-related concurrent validity of two standardized auditory-perceptual assessments and the Acoustic Voice Quality Index (AVQI) for measuring dysphonia severity in patients with vocal cord paralysis (VCP). Materials and Methods : Total 210 patients with VCP and 236 normal voice subjects were asked to sustain the vowel [a:] and to read aloud the Korean text "Walk". A 2 second mid-vowel portion of the sustained vowel and two sentences (with 26 syllables) were recorded. And then voice samples were edited, concatenated, and analyzed according to Praat script. Two standardized auditory-perceptual assessment (GRBAS and CAPE-V) were performed by three raters. Results : The VCP group showed higher AVQI, Grade (G) and Overall Severity (OS) values than normal voice group. And the correlation among AVQI, G, and OS ranged from 0.904 to 0.926. In ROC curve analysis, cutoff values of AVQI, G, and OS were <3.79, <0.00, and <30.00, respectively, and the AUC of each analysis was over .89. Conclusion : AVQI and auditory evaluation can improve the early screening ability of VCP voice and help to establish effective diagnosis and treatment plan for VCP-related dysphonia.

• Journal of the Korea Society of Computer and Information
• /
• v.20 no.5
• /
• pp.41-51
• /
• 2015

In order to hide their identities, intruders on the Internet often attack targets indirectly by staging their attacks through intermediate hosts known as stepping stones. In this paper, we propose a brute-force technique to detect the stepping stone behavior on a Linux server where some shell processes remotely logged into using interactive services are trying to connect other hosts using the same interactive services such as Telnet, Secure Shell, and rlogin. The proposed scheme can provide an absolute solution even for the encrypted connections using SSH because it traces the system calls of all processes concerned with the interactive service daemon and their child processes. We also implement the proposed technique on a CentOS 6.5 x86_64 environment by the ptrace system call and a simple shell script using strace utility. Finally the experimental results show that the proposed scheme works perfectly under test scenarios.

• Journal of Clinical Otolaryngology Head and Neck Surgery
• /
• v.29 no.2
• /
• pp.212-222
• /
• 2018

Background and Objectives : The purpose of this study was to compare the measured values of acoustic and auditory perceptual assessments between normal and functional dysphonia (FD) groups. Materials and Methods : 102 subjects with FD and 59 normal voice groups were participated in this study. Mid-vowel portion of the sustained vowel /a/ and two sentences of 'Sanchaek' were edited, concatenated, and analyzed by Praat script. And then auditory-perceptual (AP) rating was completed by three listeners. Results : The FD group showed higher acoustic voice quality index version 2.02 and version 3.01 (AVQIv2 and AVQIv3), slope, Hammarberg index (HAM), grade (G) and overall severity (OS), values than normal group. Additionally, smoothed cepstral peak prominence in Praat (PraatCPPS), tilt, low-to high spectral band energies (L/H ratio), long-term average spectrum (LTAS) in FD group were lower than normal voice group. And the correlation among measured values ranged from -0.250 to 0.960. In ROC curve analysis, cutoff values of AVQIv2, AVQIv3, PraatCPPS, slope, tilt, L/H ratio, HAM, and LTAS were 3.270, 2.013, 13.838, -22.286, -9.754, 369.043, 27.912, and 34.523, respectively, and the AUC of each analysis was over .890 in AVQIv2, AVQIv3, and PraatCPPS, over 0.731 in HAM, tilt, and slope, over 0.605 in LTAS and L/H ratio. Conclusions : In conclusion, AVQI and CPPS showed the highest predictive power for distinguishing between normal and FD groups. Acoustic analyses and AP rating as noninvasive examination can reinforce the screening capability of FD and help to establish efficient diagnosis and treatment process plan for FD.