• 동의신경정신과학회지
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• 제20권2호
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• pp.153-162
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• 2009

Objectives : The approach to Hwabyung from all angles is needed to develop the clinical practice guideline. To achieve this approach, various tools should be used practically and systematically. Methods : We gather the tools based on multi aspects of Hwabyung's characteristics. The tools will be used to each steps of clinical practice guideline development. Results : For the clinical practice guideline, there should be applied many kinds of tools, such as for decision and assesment, survey with oriental medicine property, collecting individual stress information, mental and psychological trait, and related or following disease. Conclusions : Application of many objective tools provides the evidence-based medical approaches for development of clinical practice guideline for Hwabyung.

• 한국정밀공학회지
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• 제15권8호
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• pp.33-38
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• 1998

TiYN coated high speed steel tools have been developed and their tool lifes were assessed. First yttrium alloyed titanium target was manufactured, then using the arc ion plating(AIP) technique TiYN coating was deposited onto high speed steel substrate. Three kinds of varying thickness of TiYN coated tools were prepared. Cutting tests were carried out with theses tools and for comparison with the commercially available uncoated, TiN, TiCN and TiAlN coated tools. During the cutting tests flank wear width vs. cutting time was measured. It has been revealed that the newly developed TiYN coated tools show superior tool life characteristics to others.

• 공학교육연구
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• 제20권6호
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• pp.35-42
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• 2017

SIT(Systematic Inventive Thinking), a simplified version of TRIZ, has gained in popularity and used worldwide over recent years. In this paper, the relationship between 5 thinking tools of SIT and 40 inventive principles of TRIZ was examined. For the purpose, many practical TRIZ cases applied in a world-class consumer electronics company were analyzed. The analysis showed that SIT thinking tools were composed of 11 principles in 40 TRIZ inventive principles. Among SIT 5 thinking tools, division and attribute dependency were most frequently used. However, heavily used inventive principles such as preliminary action and beforehand cushioning were not included in SIT. If these principles are additionally reflected in SIT, the effectiveness of the thinking tools will be significantly increased.

• 산업경영시스템학회지
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• 제29권1호
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• pp.87-93
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• 2006

In order to implement Artificial Intelligence, various technologies have been widely used. Artificial Intelligence are applied for many industrial products and machine tools are the center of manufacturing devices in intelligent manufacturing devices. The purpose of this paper is to present the design of Decision Support Agent that is applicable to machine tools. This system is that decision whether to act in accordance with machine status is support system. It communicates with other active agents such as sensory and dialogue agent. The proposed design of decision support agent facilitates the effective operation and control of machine tools and provides a systematic way to integrate the expert's knowledge that will implement Intelligent Machine Tools.

• 대한안전경영과학회지
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• 제9권5호
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• pp.79-85
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• 2007

Intelligent machines respond to external environments on the basis of decisions that are made by sensing the changes in the environment and analyzing the obtained information. This study focuses on the construction of a knowledge base which enables decision making with that information. Approximately 70% of all errors that occur in machine tools are caused by thermal error. In order to proactive deal with these errors, a system which measures the temperature of each part and predicts and compensates the displacement of each axis has been developed. The system was built in an open type controller to enable machine tools to measure temperature changes and compensate the displacement. The construction of a machining knowledge base is important for the implementation of intelligent machine tools, and is expected to be applicable to the network based intelligent machine tools which look set to appear sooner or later.

• 한국컴퓨터정보학회논문지
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• 제24권9호
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• pp.51-58
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• 2019

Temporal analysis is very useful and important for digital forensics for reconstructing the timeline of digital events. Forgery of a file's timestamp can lead to inconsistencies in the overall temporal relationship, making it difficult to analyze the timeline in reconstructing actions or events and the results of the analysis might not be reliable. The purpose of the timestamp change is to hide the data in a steganographic way, and the other purpose is for anti-forensics. In both cases, the time stamp change tools are requested to use. In this paper, we propose a classification method based on the behavior of the timestamp change tools. The timestamp change tools are categorized three types according to patterns of the changed timestamps after using the tools. By analyzing the changed timestamps, it can be decided what kind of tool is used. And we show that the three types of the patterns are closely related to API functions which are used to develop the tools.

• Genomics & Informatics
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• 제19권4호
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• pp.36.1-36.11
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• 2021

Predicting individual traits and diseases from genetic variants is critical to fulfilling the promise of personalized medicine. The genetic variants from genome-wide association studies (GWAS), including variants well below GWAS significance, can be aggregated into highly significant predictions across a wide range of complex traits and diseases. The recent arrival of large-sample public biobanks enables highly accurate polygenic predictions based on genetic variants across the whole genome. Various statistical methodologies and diverse computational tools have been introduced and developed to computed the polygenic risk score (PRS) more accurately. However, many researchers utilize PRS tools without a thorough understanding of the underlying model and how to specify the parameters for the best performance. It is advantageous to study the statistical models implemented in computational tools for PRS estimation and the formulas of parameters to be specified. Here, we review a variety of recent statistical methodologies and computational tools for PRS computation.

• International Journal of Advanced Culture Technology
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• 제10권4호
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• pp.412-419
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• 2022

The amount of digital text data is growing exponentially, and many machine learning solutions are being used to monitor and manage this data. Artificial intelligence and machine learning are used in many areas of our daily lives, but the underlying processes and concepts are not easy for most people to understand. At a time when many experts are needed to run a machine learning solution, no-code machine learning tools are a good solution. No-code machine learning tools is a platform that enables machine learning functions to be performed without engineers or developers. The latest No-Code machine learning tools run in your browser, so you don't need to install any additional software, and the simple GUI interface makes them easy to use. Using these platforms can save you a lot of money and time because there is less skill and less code to write. No-Code machine learning tools make it easy to understand artificial intelligence and machine learning. In this paper, we examine No-Code machine learning tools and compare their features.

• 국제학술발표논문집
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• The 1th International Conference on Construction Engineering and Project Management
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• pp.820-823
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• 2005

RFID technology offers the possibility that tools and valuable supplies tagged with RFID devices could be tacked down automatically. Such automated tool tracking has the potential to reduce theft, identify underutilized tools to be relocated, insure that crafts have access to the appropriate tools as needed, and reduce overhead labor cost of managing tools. Although other industries have been busy to enhance their supply chain management using RFID technology, construction professionals may be wondering whether it works reliably in construction jobsites as well. This paper presents a field test conducted to determine the reliability of RFID technology in identifying tools in the field storage box. The test indicated that RFID technology is reliable in inventorying tools in field storage.

• International journal of advanced smart convergence
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• 제12권4호
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• pp.154-163
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• 2023

With the rapid development of AI technology, ChatGPT and other AI content creation tools are becoming common, and users are becoming curious and adopting them. These tools, unlike search engines, generate results based on user prompts, which puts them at risk of inaccuracy or plagiarism. This allows unethical users to create inappropriate content and poses greater educational and corporate data security concerns. AI content detection is needed and AI-generated text needs to be identified to address misinformation and trust issues. Along with the positive use of AI tools, monitoring and regulation of their ethical use is essential. When detecting content created by AI with an AI content detection tool, it can be used efficiently by using the appropriate tool depending on the usage environment and purpose. In this paper, we collect data on AI content detection tools and compare and analyze the functions and characteristics of AI content detection tools to help meet these needs.