• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.37-45
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• 2020

The development process of deep learning is an iterative task that requires a lot of manual work. Among the steps in the development process, pre-processing of learning data is a very costly task, and is a step that significantly affects the learning results. In the early days of AI's algorithm research, learning data in the form of public DB provided mainly by data scientists were used. The learning data collected in the real environment is mostly the operational data of the sensors and inevitably contains various noises. Accordingly, various data cleaning frameworks and methods for removing noises have been studied. In this paper, we proposed a method for detecting and removing noises from time-series data, such as sensor data, that can occur in the IoT environment. In this method, the linear regression method is used so that the system repeatedly finds noises and provides data that can replace them to clean the learning data. In order to verify the effectiveness of the proposed method, a simulation method was proposed, and a method of determining factors for obtaining optimal cleaning results was proposed.

• The Journal of Korean Medicine
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• v.41 no.3
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• pp.32-54
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• 2020

Objectives: The purpose of this scoping review is to describe the research trends of postpartum healthcare for postpartum women, as well as to identify further direction for research in the area of postpartum healthcare. Methods: This study was conducted sequentially according to the Scoping Review Method referred to as 'frameworks of Arskey and O'Malley'. We searched for articles published as of May 15th, 2020 in seven Korean databases in order to obtain the data. A key term search strategy was employed, including terms such as "Postpartum period care", "Postpartum health", "Postpartum care", and "Postpartum status" to identify relevant studies. Results: Eighty-three articles were selected from a total of 259. The research has been undertaken steadily since 1997, particularly in the fields of Nursing and Korean medicine. In terms of study design, survey studies were the majority (48.2%), followed by interventions and experimental papers (32.5%). However, qualitative research areas are lacking. The research topics were largely divided into two categories: postpartum care characteristics and postpartum care interventions. The characteristics of postpartum care were highly connected with care for mental health. Among the postpartum care interventions, the most common employed was Korean medicine intervention. Conclusion: This study confirms that management of mental health during the postpartum period is necessary. In addition, it is necessary to identify the experiences of postpartum women and the effectiveness of a postpartum care intervention program through the utilization of qualitative research methods. In particular, such research is needed in the field of Korean medicine.

• The KIPS Transactions:PartA
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• v.13A no.1 s.98
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• pp.71-78
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• 2006

For using XML data in programming languages, there is a data binding method, which generates classes from XML type definitions. However, since existing binding frameworks for this method generate all classes for element definitions, the number of generated classes becomes large and the complexity of the overall application system gets high. In this research, we propose an inline binding method for selecting necessary classes from element definitions. In the proposed method, classes are created only for elements with repetitions and recursions, and they include fields for values of terminal elements. We introduce a generation algorithm for binding classes and the marshaling methods for recovering the omitted paths. We develop IBinder system to validate the proposed method and compare the generated codes with the ones of existing systems. As a result, we carl show that the number of generated classes decrease substantially compared to other systems.

• The Transactions of the Korea Information Processing Society
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• v.13 no.3
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• pp.111-121
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• 2024

Recently, thanks to the development of artificial intelligence technologies such as image recognition, research on unmanned aerial vehicles is being actively conducted. In particular, related research is increasing in the field of military drones, which costs a lot to foster professional pilot personnel, and one of them is the study of an intelligent framework for autonomous mission performance of reconnaissance drones. In this study, we tried to design an intelligent framework for unmanned aerial vehicles using the methodology of designing an intelligent framework for service robots. For the autonomous mission performance of unmanned aerial vehicles, the intelligent framework and unmanned aerial vehicle module must be smoothly linked. However, it was difficult to provide interworking for drones using periodic message protocols with model-based interfaces of intelligent frameworks for existing service robots. First, the message model lacked expressive power for periodic message protocols, followed by the problem that interoperability of asynchronous data exchange methods of periodic message protocols and intelligent frameworks was not provided. To solve this problem, this paper proposes a message model extension method for message periodic description to secure the model's expressive power for the periodic message model, and proposes periodic and asynchronous data exchange methods using the extended model to provide interoperability of different data exchange methods.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• v.3 no.2
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• pp.67-72
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• 2022

Ecological research relies on the interpretation of large amounts of visual data obtained from extensive wildlife surveys, but such large-scale image interpretation is costly and time-consuming. Using an artificial intelligence (AI) machine learning model, especially convolution neural networks (CNN), it is possible to streamline these manual tasks on image information and to protect wildlife and record and predict behavior. Ecological research using deep-learning-based object recognition technology includes various research purposes such as identifying, detecting, and identifying species of wild animals, and identification of the location of poachers in real-time. These advances in the application of AI technology can enable efficient management of endangered wildlife, animal detection in various environments, and real-time analysis of image information collected by unmanned aerial vehicles. Furthermore, the need for school education and social use on biodiversity and environmental issues using AI is raised. School education and citizen science related to ecological activities using AI technology can enhance environmental awareness, and strengthen more knowledge and problem-solving skills in science and research processes. Under these prospects, in this paper, we compare the results of our early 2013 study, which automatically identified African cichlid fish species using photographic data of them, with the results of reanalysis by CNN deep learning method. By using PyTorch and PyTorch Lightning frameworks, we achieve an accuracy of 82.54% and an F1-score of 0.77 with minimal programming and data preprocessing effort. This is a significant improvement over the previous our machine learning methods, which required heavy feature engineering costs and had 78% accuracy.

• The Journal of the Korea Contents Association
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• v.17 no.4
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• pp.229-236
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• 2017

Technology foresight is the process which investigate long term science, technology, economic and social effects to derive strategic R&D and future promising technologies. This study shows that new systematic framework based on technology classifications of space and action in human society, future six senses was employed as a new research method for effective process of future technology foresight. In addition, to increase the acceptance, forecasting, and uniqueness of new technology, we derived major issues of future society and demand-base products and services through the new process of ICT future mega trend analysis, the findings and selections of future technology, and future scenario based on human six senses.

• Research in Community and Public Health Nursing
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• v.15 no.4
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• pp.517-527
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• 2004

Purpose: This research is to find a solution for educational work on high blood pressure control in public health centers by analyzing their current status. Method: It analyzed data from 133 public health centers that had been doing educational work on high blood pressure, through a questionnaire. Also, it developed recommendations by converging opinions from an expert group made of 25 people with nominal group technique. Result: The educational methods of public health centers did not make any approach to get to the goal of the work. The mass media education and campaign activities for the general public had just temporary and passive propensities. In education for patients, it did not use appropriate methods to present management techniques for diagnosis process of patients, medication management, self monitoring BP, and risk factors. Pocket book for monitoring high blood pressure was not focused on self-recording for self-management. The expert group recommended that educational materials for adults should be developed focusing on treatments and observance of risk factors through daily living, and those for children should be focused on basic understanding about diseases, and life style. Conclusion: Presenting direction and strategy of fundamental education work is needed for public health centers by giving them standard educational guidelines of managing high blood pressure nationally, and it is desirable that fundamental frameworks of educational materials should be developed and distributed by professional groups nationally.

• The Journal of Economics, Marketing and Management
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• v.11 no.5
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• pp.57-67
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• 2023

Purpose: An evaluation of Uzbekistan's steps towards competitiveness for FDI globally is presented in this paper. Specifically, the purpose of this paper is to analyze the case of Uzbekistan, and to determine the strategies that can be implemented to increase the competitiveness in attracting foreign investment. Research design, data and methodology: To investigate the FDI environment and identify effective strategies, Global RPM and QSPM analyses were conducted in addition to in-depth interviews with experts. In particular, this study uses the method of Global RPM analysis to make a comprehensive evaluation and analysis on globalization, rationality, and professionalism and morality dimensions of FDI in Uzbekistan. Results: According to the analysis, the conditions of political situation, financial stability, legal frameworks, as well as economic environment of the country play a significant role in bringing in FDIs from abroad. Moreover, based on the results, Uzbekistan scored lowest on globalization, indicating that the country has a low level of integration and openness to the global economy and society. Conclusions: Uzbekistan can boost its productive capacity and GDP growth with FDI, but it has to overcome many structural and logistical obstacles. Furthermore, adhering to the chosen strategies, policymakers can leverage FDI to stimulate economic growth, leading to the generation of new jobs and expanded opportunities in Uzbekistan.

• International journal of advanced smart convergence
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• v.10 no.3
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• pp.257-278
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• 2021

As the definition of the vendor-oriented implementation method, which was utilized in adopting an ERP system, has been centered around the project construction business, it was difficult for the EPR adopting organization to systematically prepare ERP projects and have enough deliberative opportunities to change-related policies. Furthermore, this method does not have a fully standardized construction process. Accordingly, by defining an organization that wants to adopt an ERP system as a customer, this paper develops the customer-based ERP construction process framework that assists both customers and developers who construct the system. For this purpose, this paper reviews the previous research and collects the construction processes of the commercial ERP SW vendor and ERP construction cases while proposing the three-layer process framework to construct ERP through the KJ method. The ERP process framework consists of 7 processes, 32 activities, 141 tasks while providing definitions for concepts of each component. Furthermore, the proposed processes and phases were set in order of the recommended execution, while the activities were suggested as an open-ended type so that the application and usability can be increased and polished by reflecting experts' opinions. The contribution of this study is to standardize the ERP project process by transforming the previous supplier-based ERP construction method into the customer-based one while providing important procedure and activity frameworks that apply to diverse ERP solutions per vendor. At the same time, this study provides an theoretical foundation to develop the construction process for the customer -based Cloud ERP. In practice, At the beginning of the ERP system construction project, it provides communication or process tailoring tools for the stakeholder.

• Journal of Digital Convergence
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• v.15 no.8
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• pp.33-43
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• 2017

Patent strategy research has focused on the efficiency of licensing for investigation, analysis and utilization of application management, product and development task in finding patent idea, to establish patent strategy linked with management strategy and technology strategy. However, it is difficult to find the research on patent strategy that reflects an adaptive culture to enhance the internalization and performance of the established strategy. As a result, companies have been striving to imitate patent strategies of advanced companies that do not consider their industry and organizational culture. This study proposes a method of defining a firm 's patent strategy according to the competing value model that analyzes organizational culture as four frameworks. This study verifies the classification method through case studies, suggests a suitable patent strategy for the patent strategy type. This study has contributions in that discussing from a new point of view based on organizational culture theory and providing a IP strategic model with high practicality.