• Journal of Korean Academy of Nursing
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• v.26 no.2
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• pp.399-412
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• 1996

Even though Korean medical law stipulates that number of patients attended by a nurse is 2.5 for hospitalization and 30 for ambulatory care, the number of patients cared by a nurse per day is much greater than the standard prescribed by the medical law. Current nursing productivity of nurses is not desirable unless the quality of care considered. Moreover. nursing manpower staffing based on neither current nurses' productivity nor standard of medical law cannot respond properly to dynamic situation of the medical services. As for the nurse scheduling, the critical problem of it in the hospital is determining the day-to-day shift assignments for each nurse for the specified period in a way that satisfies the given requirements of the hospital. Nurse scheduling, however, involves many factors and requirements, manual scheduling requires much time and effort to produce an adequate schedule. Under these backgrounds, the necessity of more efficient management of nursing manpower occupying 1/3 of total hospital workers has been recognized by many nursing administrators. This study was performed to develop a system computerizing nurse staffing and scheduling based on the patient classification. As a preliminary step for the system development, nursing workload in a secondary hospital was measured from Sep. to Oct. 1994. On the grounds of this result, computerization of nurse staffing and scheduling was proceeded with three options. First one is based on the current medical law. Second one is based on the assigned number of nursing staff. And the last is based on the request by patient classification. Computer languages used in this study were MS Visual Basic 3.0 for the staffing and Access 2.0 for the scheduling, respectively. Prospective users may operate this system easily because icons and mouse are used for easier graphic user interface and reducing the need for typing efforts. This system can help nurse administrators manage nursing manpower efficiently and nurses develop quick and easy schedule generation and allow more time for the patient care.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.2
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• pp.178-183
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• 2001

Welding is essential for the manufacture of a range of engineering components which may vary from very large structures such as ships and bridges to very complex structures such as aircraft engines, or miniature components for microelectronic applications. Especially, a domestic situation of the welding automation is still depend on the arc sensing system in comparison to the vision sensing system. Specially, the gap-detecting of workpiece using conventional arc sensor is proposed in this study. As a same principle, a welding current varies with the size of a welding gap. This study introduce to the fuzzy membership filter to cancel a high frequency noise of welding current, and ART2 which has the competitive learning network classifies the signal patterns the filtered welding signal. A welding current possesses a specific pattern according to the existence or the size of a welding gap. These specific patterns result in different classification in comparison with an occasion for no welding gap. The patterns in each case of 1mm, 2mm, 3mm and no welding gap are identified by the artificial neural network.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.2
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• pp.609-625
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• 2023

This study is a demand research for the selection of public safety science and technology equipment and suggests an empirical research method. The technology demand survey is the beginning of the selection of innovative technology. And it is the basis of collecting information required for the technology required in the market and helping to apply it to the field. The demand survey for police science and technology can reduce the uncertainty of crime prevention and help the smooth implementation of security policies. However, in Korea, adoption of security science and technology equipment was centered on social issues or researchers' opinions rather than the demands of field users. Until, there was no research has been conducted on the demands of field police officers for selection of security science and technology equipment in Korea. Also, there was no preferential study for the demand for security science and technology equipment. Therefore, this study proposes a methodology that can systematically identify the needs for the technology and equipment of field experts suitable for the public security situation for the selection of security science and technology equipment. Specifically, we propose a sample design for a technology classification system and a survey tool for technology awareness and satisfaction. It is expected that this tool will provide a classification system for security science and technology equipment selected for the Korean police and will help determine the priority of equipment suitable for the field.

• Journal of the Korean Society for Library and Information Science
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• v.11
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• pp.147-183
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• 1984

This is an analytical study on Munheongak (文獻閣) and it's catalogue. The major objective of the study is to get a recognition of Munheongak under the culture of Sukjong (肅宗) period in Korean library history. Most of early studies made on such a category have been concentrated on Jiphyunjeon (集賢殿), Hongmungwan (弘文館), Kyujanggak(奎章閣) and their backgrounds. In this study, the author has invest gated Kungwolji (宮闕志), Munheongakseomg (文獻閣書目) and other materials related to this subject. The findings of the study can be summarized as follows: 1. Munheongak was established by king Sukjong in the 26th year of his reign. According to some records of Kungkwolji, the reason of establishment of the library was to arrange the collection in the Sango (相庫) consisted of various kinds of materials. In case of books, most of them turned out to be Korean books. 2. Munheongak was sited to the estern side of Kyunghyundang (景賢堂), which was located on the Kyungdeokgung (慶德宮). After Youngjo (英祖) the place was called Kyungheuigung (慶熙宮) so as to avoid the name of the precedent king. But these days, both the buildings are not to be found. 3. After its establishment, the library could not play the role as a library because of the then political situation and sectionalism. During the period of the revival of the learning from Youngjo till Jeongjo(正祖) the function of the library was in a stagnant state. Kyujanggak played the part in its place. 4. Referring to the collection management, the Munheongakseomog is equipped with 101 titles, 2,525 volumes, which are arranged by means of the traditional Chinese classification system. 5. The classification scheme is based on the traditional Chinese classification system which might divide all subjects into four categories such as: Confucian classics division, Historical documents division, Master's division, and Collection of literature division. Some illustrations reveal that the classification system was directly influenced by Seogoseomg (書庫書目) : the influence reflected in the classes for the translated literature and writings, poems, genealogy about kings, etc. But some subdivisions such as a class of Annals, Historical Epcerpts were omitted in the classification scheme, which did not strike the balance in the system in terms of the present theory of classification. Most of bibliographical descriptions were also influenced by Seogoseomog but some elements were partly omitted. 6. The special feature of the collection building is the absence of books in Collection of literature division except only three kinds of books in examining the Munheongakseomog. Since this is rather a comprehensive study for such aspects as historical backround, catalogue, and cultural environment of Munheongak and its related record, it is advised that further and additional research should be made.

• Cross-Cultural Studies
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• v.22
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• pp.223-277
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• 2011

Tan Yuanjie(譚元杰) of CHINA COSTUME ART OF PEKING OPERA("中國京劇服裝圖譜") is 'Foreword' attention from the bar 'Formalism'. A note is makeup system from ever performances here, 'what kind of adaptation must be a corresponding type of costume should be worn.' This stance to 'type of person's identity and faced the scene correlated' with the actual performance tradition plays out is going and, while here the rules to capture the opera's on the character of 'identity and the circumstances under clothing' is defined. This position discussed previously 'Formalism' in line with the will he perform, and looks to meet the elements of production. This basic stance is clean up, while 'Old Beijing Opera costumes costumes taxonomy largely' literary costume' and 'militant outfit' into two groups divided over throughout steamroll surgery, because surely need to have a more systematic classification. The classification system was established as 'Part 1. Mang, Part 2. Pi, Part 3. Xi, Part 4. Kao, Part 5. YI'. In addition to these classification systems, as well as the aforementioned 'object theory' Given the symbolic significance of the capacity to keep in mind is necessary. Costumes conduct, character, situation, atmosphere and so the transport of charged symbols here, a target symbol of the system is the projection of water. This costume is detrimental to the mall for the positionsay, but I kept in mind damwongeolyi internationalization of Chinese culture. when you see the view from the perspective of semiotic systems for the sign, that the theater is necessary to complement. In this paper, 'Yi(衣)' costume on the corresponding point of the target compared to the China Culture Department of Theatre and Folklore methodology ran off and sprinting was to lay the groundwork for research.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.3
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• pp.705-711
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• 2013

QRS detection of ECG is the most popular and easy way to detect cardiac-disease. But it is difficult to analyze the ECG signal because of various noise types. Also in the healthcare system that must continuously monitor people's situation, it is necessary to process ECG signal in realtime. In other words, the design of algorithm that exactly detects QRS wave using minimal computation and classifies PVC by analyzing the persons's physical condition and/or environment is needed. Thus, efficient QRS detection and PVC classification based on profiling method is presented in this paper. For this purpose, we detected QRS through the preprocessing method using morphological filter, adaptive threshold, and window. Also, we applied profiling method to classify each patient's normal cardiac behavior through hash function. The performance of R wave detection, normal beat and PVC classification is evaluated by using MIT-BIH arrhythmia database. The achieved scores indicate the average of 99.77% in R wave detection and the rate of 0.65% in normal beat classification error and 93.29% in PVC classification.

• Journal of Intelligence and Information Systems
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• v.26 no.1
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• pp.23-45
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• 2020

Big data is creating in a wide variety of fields such as medical care, manufacturing, logistics, sales site, SNS, and the dataset characteristics are also diverse. In order to secure the competitiveness of companies, it is necessary to improve decision-making capacity using a classification algorithm. However, most of them do not have sufficient knowledge on what kind of classification algorithm is appropriate for a specific problem area. In other words, determining which classification algorithm is appropriate depending on the characteristics of the dataset was has been a task that required expertise and effort. This is because the relationship between the characteristics of datasets (called meta-features) and the performance of classification algorithms has not been fully understood. Moreover, there has been little research on meta-features reflecting the characteristics of multi-class. Therefore, the purpose of this study is to empirically analyze whether meta-features of multi-class datasets have a significant effect on the performance of classification algorithms. In this study, meta-features of multi-class datasets were identified into two factors, (the data structure and the data complexity,) and seven representative meta-features were selected. Among those, we included the Herfindahl-Hirschman Index (HHI), originally a market concentration measurement index, in the meta-features to replace IR(Imbalanced Ratio). Also, we developed a new index called Reverse ReLU Silhouette Score into the meta-feature set. Among the UCI Machine Learning Repository data, six representative datasets (Balance Scale, PageBlocks, Car Evaluation, User Knowledge-Modeling, Wine Quality(red), Contraceptive Method Choice) were selected. The class of each dataset was classified by using the classification algorithms (KNN, Logistic Regression, Nave Bayes, Random Forest, and SVM) selected in the study. For each dataset, we applied 10-fold cross validation method. 10% to 100% oversampling method is applied for each fold and meta-features of the dataset is measured. The meta-features selected are HHI, Number of Classes, Number of Features, Entropy, Reverse ReLU Silhouette Score, Nonlinearity of Linear Classifier, Hub Score. F1-score was selected as the dependent variable. As a result, the results of this study showed that the six meta-features including Reverse ReLU Silhouette Score and HHI proposed in this study have a significant effect on the classification performance. (1) The meta-features HHI proposed in this study was significant in the classification performance. (2) The number of variables has a significant effect on the classification performance, unlike the number of classes, but it has a positive effect. (3) The number of classes has a negative effect on the performance of classification. (4) Entropy has a significant effect on the performance of classification. (5) The Reverse ReLU Silhouette Score also significantly affects the classification performance at a significant level of 0.01. (6) The nonlinearity of linear classifiers has a significant negative effect on classification performance. In addition, the results of the analysis by the classification algorithms were also consistent. In the regression analysis by classification algorithm, Naïve Bayes algorithm does not have a significant effect on the number of variables unlike other classification algorithms. This study has two theoretical contributions: (1) two new meta-features (HHI, Reverse ReLU Silhouette score) was proved to be significant. (2) The effects of data characteristics on the performance of classification were investigated using meta-features. The practical contribution points (1) can be utilized in the development of classification algorithm recommendation system according to the characteristics of datasets. (2) Many data scientists are often testing by adjusting the parameters of the algorithm to find the optimal algorithm for the situation because the characteristics of the data are different. In this process, excessive waste of resources occurs due to hardware, cost, time, and manpower. This study is expected to be useful for machine learning, data mining researchers, practitioners, and machine learning-based system developers. The composition of this study consists of introduction, related research, research model, experiment, conclusion and discussion.

• The Korean Journal of Archival Studies
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• no.5
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• pp.179-208
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• 2002

In this paper, I explained the dominating/dominated relationship of Japan and Colonized Korea by analysing the management system of official documents. I examined the theory and practices of the classification used by the office of the Governor-General for preserving official documents whose production and circulation ended. In summary, first, the office of the Governor-General and its municipal authorities classified and filed documents according to the nature and regulations on apportionment for the organizations. The apportionment of the central and local organs was not fixed through the colonial period and changed chronologically. The organization and apportionment of the central and local organs reflected the changes in the colonial policies. As a result, even in the same organs, the composition of documents had differences at different times. The essential way of classifying documents in the colonial period was to sort out official documents which should be preserved serially and successively according to each function of the colonial authorities. The filing of documents was taken place in the form of the direct reflection of organizing and apportioning of the function among several branches of the office of the Governor-General and other governmental organs. However, for the reason that filing documents was guided at the level of the organs, each organ's members responsible for documents hardly composed the filing unit as a sub-category of the organ itself. Second, Japan constructed the infrastructure of colonial rule through the management system of official documents. After Kabo Reform, the management system of official documents had the same principles as those of the Japan proper. The office of the Governor-General not only adopted several regulations on the management of official documents, but also controlled the arrangement and the situation of document managing in the local governmental organizations with the constant censorship. The management system of documents was fundamentally based on the reality of colonial rule and neglected many principles of archival science. For example, the office of Governor-General labelled many policy documents as classified and burnt them only because of the administrative and managerial purposes. Those practices were inherited in the document management system of post-colonial Korea and resulted in scrapping of official documents in large quantities because the system produced too many "classified documents".

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.101-125
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• 2022

Recently, with the development of computing technology and the improvement of the cloud environment, deep learning technology has developed, and attempts to apply deep learning to various fields are increasing. A typical example is anomaly detection, which is a technique for identifying values or patterns that deviate from normal data. Among the representative types of anomaly detection, it is very difficult to detect a contextual anomaly that requires understanding of the overall situation. In general, detection of anomalies in image data is performed using a pre-trained model trained on large data. However, since this pre-trained model was created by focusing on object classification of images, there is a limit to be applied to anomaly detection that needs to understand complex situations created by various objects. Therefore, in this study, we newly propose a two-step pre-trained model for detecting abnormal situation. Our methodology performs additional learning from image captioning to understand not only mere objects but also the complicated situation created by them. Specifically, the proposed methodology transfers knowledge of the pre-trained model that has learned object classification with ImageNet data to the image captioning model, and uses the caption that describes the situation represented by the image. Afterwards, the weight obtained by learning the situational characteristics through images and captions is extracted and fine-tuning is performed to generate an anomaly detection model. To evaluate the performance of the proposed methodology, an anomaly detection experiment was performed on 400 situational images and the experimental results showed that the proposed methodology was superior in terms of anomaly detection accuracy and F1-score compared to the existing traditional pre-trained model.

• 한국항공운항학회:학술대회논문집
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• 2016.05a
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• pp.89-94
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• 2016

This paper is to investigate how each cases(recurrent cases) is to be classified and what each parties should prepare to solve their cases by civil law system and so on. We could find the increased volume (or quantity) of transportation by air recently and have to worry about the sky-rocketed cases of unfulfilled navigation management(aviation service) proportionately inevitably. So we knew that some cases of disputes are solved by unreasonable demand, unilateral concession or irrational decision without any logical or legal criterion, because both sides(passenger and carrier) do not recognize the situation correctly and have any preparation for the legal settlement. Therefore we should prepare the classification work and comprehend about the legal effect(fulfillment retardation of duty, fulfillment impossibility of duty and imperfect fulfillment in our civil law system) of each cases. We can grasp the legal relationship with a carrier and a passengers by the legal analysis more efficiently and save (or help) energy and time of concerned parties.