• Journal of the Korean Institute of Rural Architecture
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• v.24 no.4
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• pp.117-124
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• 2022

Recognizing the problem that the definition of the term pan-ock does not appear precisely in the dictionary, the definition of pan-ock was established through analysis by analyzing 183 cases of pan-ock searched in the Korean Classics DB and classifying them into buildings and ships. First of all, the 65 pan-ocks classified as architecture were used in various ways, such as residences, religious facilities, jang-pan-ocks, and prisons, depending on their use. Second, the 90 cases of pan-ock related to ships were the concept of houses that combine work and accommodation on ships. Finally, through military installations, literary expressions, and bureaucrats who have seen trains and wagons, Pan-ock uses boards. It can be used for walls or roofs only, or for both walls and roofs. Therefore, it is necessary to consider the case of the Joseon Dynasty with the definition of Pan-ock in the existing dictionary. In other words, Pan-ock refers to "houses, religious facilities, royal tombs, and prisons, with various uses and forms. In addition, it refers to the joining of only the wall or the roof with planks, or the joining of both the wall and the roof," suggesting a broader interpretation of the category.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.281-283
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• 2021

The representative companies mentioned in the recommendation service in the domestic OTT(Over-the-top media service) market are YouTube and Netflix. YouTube, through various methods, started personalized recommendations in earnest by introducing an algorithm to machine learning that records and uses users' viewing time from 2016. Netflix categorizes users by collecting information such as the user's selected video, viewing time zone, and video viewing device, and groups people with similar viewing patterns into the same group. It records and uses the information collected from the user and the tag information attached to the video. In this paper, we propose a method to improve video media recommendation by automatically generating metadata of video media that was written by hand.

• Publications of The Korean Astronomical Society
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• v.35 no.3
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• pp.29-41
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• 2020

Korea has numerous astronomical resources, such as observational records, star maps, and a wealth of literature, covering the period from the Three Kingdoms (54 BC - 932 AD) to the Joseon Dynasty (1392 - 1910 AD). The research activities related to these resources have been limited to those by individual researchers. It is now necessary to conduct research by efficiently and systematically collecting and managing Korean astronomical records using an accessible Web environment. The purpose of this study is to complete a system that enables researchers systematically to collect and verify a large number of historical records related to astronomical phenomena in a Web environment. In 2017, a preliminary survey was conducted, and the requirements pertaining to an implementation target system were devised. In addition, a joint development plan was carried out by the developer, lasting three months in 2018. Although the system is relatively simple, it is the first system to be attempted in the historical astronomy field. In order to proceed with the systematic development, the software development methodology is applied to the entire process from deriving the requirements of researchers to completing the system. The completed system is verified through integrated function and performance tests. The functional test is repeated while modifying and testing the system based on various test scenarios. The performance test uses a performance measurement test tool that takes measurements by setting up a virtual operation environment. The developed system is now in normal operation after a one-year trial period. Researchers who become authorized to use the system can use it to verify the accuracy of data and to suggest improvements. The collected feedback will be reflected in future systems, and Korean astronomical records will be available for use internationally through a multilingual service.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.731-736
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• 2023

Recently, the medical field has been applying mandatory Electronic Medical Records (EMRs) and Electronic Health Records (EHRs) systems that computerize and manage medical records, and distributing them throughout the entire medical industry to utilize patients' past medical records for additional medical procedures. However, the conversations between medical professionals and patients that occur during general medical consultations and counseling sessions are not separately recorded or stored, so additional important patient information cannot be efficiently utilized. Therefore, we propose an electronic medical record system that uses speech recognition and natural language processing deep learning to store conversations between medical professionals and patients in text form, automatically extracts and summarizes important medical consultation information, and generates electronic medical records. The system acquires text information through the recognition process of medical professionals and patients' medical consultation content. The acquired text is then divided into multiple sentences, and the importance of multiple keywords included in the generated sentences is calculated. Based on the calculated importance, the system ranks multiple sentences and summarizes them to create the final electronic medical record data. The proposed system's performance is verified to be excellent through quantitative analysis.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.2368-2372
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• 2005

We proposed a novel method for object recognition using the Smart tag system in the previous research. We identified the object easily, but could not assure the object pose, because the threshold problem was not solved. So we propose a new method to solve this threshold problem. This method uses a smart tag to decide the threshold by recording color information of the image when the object feature is extracted. This method records the original of the object color information at the smart tag first. And then it records the object image information, the circumstance image information and the sensors information continuously when the object feature is extracted through the experiments. Finally, it estimates the current threshold by recorded information. This method can be applied the threshold to each objects. And it can solve the difficult threshold decision problem easily. To approve the possibility of our method, we implemented our approach by using easy and simple techniques as possible.

• The KIPS Transactions:PartD
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• v.9D no.6
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• pp.1097-1104
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• 2002

Recently, with a drop in memory chip price and rapid development of mass storage memory chip technology, research on client-server Database Management Systems has gained wide attention. This Paper discusses the recovery technique in a page-server OODBMS environment. Although most researchers have studied client-server systems, the recovery technique has been a poor researches. In this paper, client transfers only the completed log records to the server and resolves the problems in the current recovery techniques. In addition, the server manages only the execution of completed log records suggesting a simple recover algorithm, Client uses system concurrency, fully, by acting to abort actions and it suggests a page unit recovery technique to reduce time that is required in the whole database.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.3
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• pp.235-242
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• 2020

This paper proposes a system that can manage and verify personal career information through a block chain to solve the problem of getting a job by forging an individual's career when hiring employees. Blockchain network uses private network, and inside the block, the user's academic and career information is kept. The functions of the block chain perform the functions of block creation, block internal data retrieval, career and academic verification, which works through chain code. As a result of the performance evaluation of the proposed system, the processing time per transaction was measured at approximately 110 ms and the search time was measured at 10 ms, and it was applied to the actual system to confirm that it was available.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.4
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• pp.267-272
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• 2013

As an important operation with many applications such as data cleaning and duplicate detection, the similarity join is a challenging issue, which finds all pairs of records whose similarities are above a given threshold in a dataset. We propose a new algorithm that uses the prefix filtering principle as strong constraints on generation of candidate pairs for fast similarity joins. The candidate pair is generated only when the current prefix token of a probing record shares one prefix token of an indexing record within the constrained prefix tokens by the principle. This generation method needs not to compute an upper bound of the overlap between two records, which results in reduction of execution time. Experimental results show that our algorithm significantly outperforms the previous prefix filtering-based algorithms on real datasets.

• International Journal of Computer Science & Network Security
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• v.24 no.6
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• pp.153-160
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• 2024

Information technology plays an important role in healthcare. The cloud has several applications in the fields of education, social media and medicine. But the advantage of the cloud for medical reasons is very appropriate, especially given the large volume of data generated by healthcare organizations. As in increasingly health organizations adopting towards electronic health records in the cloud which can be accessed around the world for various health issues regarding references, healthcare educational research and etc. Cloud computing has many advantages, such as "flexibility, cost and energy savings, resource sharing and rapid deployment". However, despite the significant benefits of using the cloud computing for health IT, data security, privacy, reliability, integration and portability are some of the main challenges and obstacles for its implementation. Health data are highly confidential records that should not be made available to unauthorized persons to protect the security of patient information. In this paper, we discuss the privacy and security requirement of EHS as well as privacy and security issues of EHS and also focus on a comprehensive review of the current and existing literature on Electronic health that uses a variety of approaches and procedures to handle security and privacy issues. The strengths and weaknesses of some of these methods were mentioned. The significance of security issues in the cloud computing environment is a challenge.

• Journal of the Korea Society of Computer and Information
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• v.17 no.9
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• pp.113-125
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• 2012

We developed a Smartphone application based on PHR(Personal Health Records) provided by a tertiary hospital to provide users personalized diet, exercise contents. It uses Relevance ratio algorithm of diet and excercise being correlated with diseases listed on PHR to provide personalized contents to management of individual diseases and record the amounts of food taken and exercise along with calories consumed through exercise. Besides, developed U-Health Service also considering users' conditions and conveniences, as a service to use contents and record suitable for the individuals who share the information on restaurants locations, their menus, and nutrition based on users' location information.