• Title/Summary/Keyword: diagnosis architecture

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An Input Transformation with MFCCs and CNN Learning Based Robust Bearing Fault Diagnosis Method for Various Working Conditions (MFCCs를 이용한 입력 변환과 CNN 학습에 기반한 운영 환경 변화에 강건한 베어링 결함 진단 방법)

  • Seo, Yangjin
    • KIPS Transactions on Software and Data Engineering
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    • v.11 no.4
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    • pp.179-188
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    • 2022
  • There have been many successful researches on a bearing fault diagnosis based on Deep Learning, but there is still a critical issue of the data distribution difference between training data and test data from their different working conditions causing performance degradation in applying those methods to the machines in the field. As a solution, a data adaptation method has been proposed and showed a good result, but each and every approach is strictly limited to a specific applying scenario or presupposition, which makes it still difficult to be used as a real-world application. Therefore, in this study, we have proposed a method that, using a data transformation with MFCCs and a simple CNN architecture, can perform a robust diagnosis on a target domain data without an additional learning or tuning on the model generated from a source domain data and conducted an experiment and analysis on the proposed method with the CWRU bearing dataset, which is one of the representative datasests for bearing fault diagnosis. The experimental results showed that our method achieved an equal performance to those of transfer learning based methods and a better performance by at least 15% compared to that of an input transformation based baseline method.

Dynamic Knowledge Map and SQL-based Inference Architecture for Medical Diagnostic Systems

  • Kim, Jin-Sung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.16 no.1
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    • pp.101-107
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    • 2006
  • In this research, we propose a hybrid inference architecture for medical diagnosis based on dynamic knowledge map (DKM) and relational database (RDB). Conventional expert systems (ES) and developing tools of ES has some limitations such as, 1) time consumption to extend the knowledge base (KB), 2) difficulty to change the inference path, 3) inflexible use of inference functions and operators. To overcome these Limitations, we use DKM in extracting the complex relationships and causal rules from human expert and other knowledge resources. The DKM also can help the knowledge engineers to change the inference path rapidly and easily. Then, RDB and its management systems help us to transform the relationships from diagram to relational table.

A Study on the Space Program & Research of GMP in Domestic Institute for Life Science (국내 종합병원부설 생명공학연구소의 GMP 시설에 대한 실태조사 및 공간구성에 대한 연구)

  • Lee, Sang-Sok;Park, Jae-Seung
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.13 no.1
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    • pp.7-15
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    • 2007
  • The medicine is used for diagnosis, treatment or prevention of disease and consequently has an important influence upon human life and health. Its effectiveness and safety must be guaranteed. In order to achieve the facility that meets GMP, KFDA has provided standards for quality assurance of the manufacture, examination and tests of medical supplies. The result of this study were as follows : the GMP facilities are divided into work, lab/test and storage spaces, and the systematic corridor. The clean rooms are mainly installed in work and lab/test spaces, and maintain class 10,000 in average. The individual space for the procedures that requires class 100 is not provided as a separate division. Instead, they are performed in the clean bench of the laboratory.

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Development of the Activity Type Smart Concrete using the Glass Pipe

  • Kim, Ie-Sung;Kim, Wha-Jung
    • Corrosion Science and Technology
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    • v.4 no.1
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    • pp.29-32
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    • 2005
  • A various structural materials are used in construction projects such as a stone, concrete, steel materials. Between of them, concrete are used widely. The compressive strength of concrete is high, and its maintenance and management is comparatively easy. The R.C Building will be superannuated as time passes. This program is generated by propagation of cracks. In order to manage such cracks, time and efforts, expense, etc. are required. In this study, glass sensors were embedding in a model beam and column and leakage of fluorescence and adhesive material was investigated. Further, currents in glass pipe were observed to find the leakage of liquid in glass pipes. Progressive cracks generated by cause the fracture of glass pipes. Therefore, the liquid become to flow and electric current stops, and the cracked part of the member can be found easily. Moreover, the adhesive delays progressive cracking system that responds in air, and the life of a structure can be made to extend. The purpose of this research is to develop of low price sensors that can perform of self-diagnosis in addition to ability of concrete repair concrete to damage.

Detection of onset of failure in prestressed strands by cluster analysis of acoustic emissions

  • Ercolino, Marianna;Farhidzadeh, Alireza;Salamone, Salvatore;Magliulo, Gennaro
    • Structural Monitoring and Maintenance
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    • v.2 no.4
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    • pp.339-355
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    • 2015
  • Corrosion of prestressed concrete structures is one of the main challenges that engineers face today. In response to this national need, this paper presents the results of a long-term project that aims at developing a structural health monitoring (SHM) technology for the nondestructive evaluation of prestressed structures. In this paper, the use of permanently installed low profile piezoelectric transducers (PZT) is proposed in order to record the acoustic emissions (AE) along the length of the strand. The results of an accelerated corrosion test are presented and k-means clustering is applied via principal component analysis (PCA) of AE features to provide an accurate diagnosis of the strand health. The proposed approach shows good correlation between acoustic emissions features and strand failure. Moreover, a clustering technique for the identification of false alarms is proposed.

A Study on the Demand and Present Conditions of Medical Facilities in Ansan City (안산시 의료시설의 현황 및 수요에 관한 연구)

  • Yang, Nae-Won
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.4 no.6
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    • pp.49-55
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    • 1998
  • Ansan city is the first planned city by the government. It became a city in 1980, its population has already surpassed 300,000, and nowadays the population reaches 550,000. It is expected that the population will be increased more and more, because of the "Go-jan Developing". Even though the increasing of its population, An-san is being blamed because of the unbalanced development. The purpose of this study is to give the basic data that helps the supplying medical facilities through understanding the present conditions of medical facilities and the territory of diagnosis in An-san.

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A Study on the Demands and Present Conditions of Medical Resources in Uijongbu City (의정부시 의료자원의 현황 및 수요에 관한 연구)

  • Son, Jae-Won;Han, Gi-Jeung;Mock, Dae-Sang;Lee, Teuk-Koo
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.6 no.10
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    • pp.23-30
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    • 2000
  • The purpose of this study is to provide the basic data that helps the supplying medical resources through understanding the present conditions of medical resources and the territory of diagnosis in Uijongbu city. To achieve this goal, the statistical data related to the medical resources of Uijongbu city were analyzed; the number of population, medical facility, beds for inpatients, medical personnels and so on. Through the analysis of statistical data, it was revealed that the present conditions of medical resources are so insufficient in Uijongbu city. The results of the study were as follows; Firstly, it should be added to the beds for inpatients. Secondly, it should be characterized by specialization of hospitals. Thirdly, it should be added to the herb medicine hospital.

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The Status Quo of Graph Databases in Construction Research

  • Jeon, Kahyun;Lee, Ghang
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.800-807
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    • 2022
  • This study aims to review the use of graph databases in construction research. Based on the diagnosis of the current research status, a future research direction is proposed. The use of graph databases in construction research has been increasing because of the efficiency in expressing complex relations between entities in construction big data. However, no study has been conducted to review systematically the status quo of graph databases. This study analyzes 42 papers in total that deployed a graph model and graph database in construction research, both quantitatively and qualitatively. A keyword analysis, topic modeling, and qualitative content analysis were conducted. The review identified the research topics, types of data sources that compose a graph, and the graph database application methods and algorithms. Although the current research is still in a nascent stage, the graph database research has great potential to develop into an advanced stage, fused with artificial intelligence (AI) in the future, based on the active usage trends this study revealed.

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A Study on the Spatial Organization of Outpatient departments in the Infectious Disease Hospital by Region (권역별 감염병전문병원의 통원진료부문 공간구성에 관한 연구)

  • Lee, Joo Rang
    • Journal of the Korean Institute of Rural Architecture
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    • v.26 no.2
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    • pp.73-84
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    • 2024
  • This study investigated the outpatient departments of Infectious Disease Hospitals by Region, which play an important role in establishing regional medical networking, to find a spatial structure that can provide a safe environment for efficient diagnosis and treatment, as well as a rational medical procedure in case of crisis. Department layout and adjacencies were derived by considering the access procedures according to patient classification, medical procedures by department, and connectivity with other departments. Based on the results derived by setting up zones according to infection control, activities, and objects, and analyzing the division of zones, the composition of areas by activities, movement flows by objects and treatment units, it can be used as basic data for the architectural plan of the Infectious Disease Hospital. Also, there are implications that can be used as basic data for planning related facilities by analyzing spatial relationships according to user behavior.

Possibility and Limitations of New Framework of Landscape Ecology (경관 생태 연구의 새로운 방법론 모색을 통한 도입 가능성과 한계성)

  • Ra Jung-Hwa
    • Journal of the Korean Institute of Landscape Architecture
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    • v.33 no.4 s.111
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    • pp.45-70
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    • 2005
  • The purpose of this study is to overview foreign trends in the study of the landscape ecology through new framework of landscape ecological studies and to suggest possibility and limitation of introduction of landscape ecology studies in Korea. Because of historical reasons rooted in different disciplines, landscape ecology of the present time is not unified at all. Therefore, landscape ecology should be understood in an integrative manner accommodating different views and various aspects of landscape(NOOS, GEOS, BIOS). Facing the increasing environmental problems and the goal of sustainable landscape, the principle of a holistic approach complementarity and transdisciplinarity outlined in this paper (esp. connection physical-materials and cognitive system) might help to understand the characteristics of landscapes and landscape ecology. Important steps towards this direction are the landscape survey, diagnosis, the identification of landscape functions, the development of landscape evaluation models and landscape planning system. Recently there have been a few landscape ecological researches in Korea, which tells there have been strong needs to solve practical landscape problems caused by the rapid socioeconomic growth for several decades. However, almost of this studies are focused on cognitive and visual aspects of landscapes defined boundaries of disciplines. But for more holistic approach complementarity and transdisciplinarity in landscape ecological studies, many other aspects such as the consideration of geoecological and bioecologocal variables, preperation of ecological basic data(mapping) and the development of landscape planning as a tool for practical application should be integrated into the whole landscape system.