• Nuclear Engineering and Technology
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• v.51 no.2
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• pp.432-438
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• 2019

In the study of nuclear structure, the fast timing technique can be used to measure the lifetime of excited states. In the paper, we have developed a new fast timing system, which is made up of two $LaBr_3:Ce$ detectors and a set of waveform sampling system. The sampling system based on domino ring sampler version 4 chip (DRS4) can digitize and store the waveform information of detector signal, with a smaller volume and higher timing accuracy, and the waveform data are performed by means of digital waveform analysis methods. The coincidence time resolution of the fast timing system for two annihilation 511 keV ${\gamma}$ photon is 200ps (FWHM), the energy resolution is 3.5%@511 keV, and the energy linear response in the large dynamic range is perfect. Meanwhile, to verify the fast timing performance of the system, the $^{152}Gd-2_1^+$ state form ${\beta}^+$ decay of $^{152}Eu$ source is measured. The measured lifetime is $45.3({\pm}5.0)ps$, very close to the value of the National Nuclear Data Center (NNDC: $46.2({\pm}3.9)ps$). The experimental results indicate that the fast timing system is capable of measuring the lifetime of dozens of ps. Therefore, the system can be widely used in the research of the fast timing technology.

• The Bulletin of The Korean Astronomical Society
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• v.43 no.2
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• pp.49.3-50
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• 2018

Korea has kept its records of astronomical phenomena since around 2,000 years ago. However, the contents and scope of relevant service have been limited for researchers who need those records due to lack of complete data collection. In this regard, it is necessary to establish efficient collection and management systems of Korean astronomical records by utilizing an environment that is easily accessible. This study is intended to complete the development of a testbed system that allows researchers to systematically input and validate, in a Web environment, multiple astronomical records among the historical documents until Modern Joseon after the Three Kingdoms Period. Recognition of the pre-translated data and tables in advance is followed by its storage in the database built on the Web. Then, data validation is implemented by providing a retrieval service according to a specific form to only a finite number of researchers who have access authority. This study is targeted at a testbed system that takes around three months to be completely developed. The completed testbed system is expected to allow internal and external researchers of an organization to easily access the service on the Web. This will ensure that the accuracy of the data can be verified mutually and help identify areas of service improvement. The opinions collected regarding service improvement will be reflected in the future system. Eventually, domestic astronomical records will subsequently be able to be utilized internationally through the multilingual service.

• Journal of Internet Computing and Services
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• v.22 no.5
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• pp.79-86
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• 2021

As the usefulness of big data analysis has been drawing attention, many studies in the business research area begin to use big data to predict firm performance. Previous studies mainly rely on data outside of the firm through news articles and social media platforms. The voices within the firm in the form of employee satisfaction or evaluation of the strength and weakness of the firm can potentially affect firm value. However, there is insufficient evidence that online employee reviews are valid to predict firm value because the data is relatively difficult to obtain. To fill this gap, from 2014 to 2019, we employed 97,216 reviews collected by JobPlanet, an online firm review website in Korea, and developed a machine learning-based predictive model. Among the proposed models, the LSTM-based model showed the highest accuracy at 73.2%, and the MAE showed the lowest error at 0.359. We expect that this study can be a useful case in the field of firm value prediction on domestic companies.

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.171-180
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• 2021

Currently, hospitals and medical practices have a large amount of unstructured information, gathered in time at each ward or practice by physicians in a wide range of medical branches. The data requires processing in order to be able to extract relevant information, which can be used to improve the medical system. It is useful for a physician to have access to a patient's entire medical history when he or she is in an emergency situation, as relevant information can be found about the patient's problems such as: allergies to various medications, personal history, or hereditary collateral conditions etc. If the information exists in a structured form, the detection of diseases based on specific symptoms is much easier, faster and with a higher degree of accuracy. Thus, physicians may investigate certain pathological profiles and conduct cohort clinical trials, including comparing the profile of a particular patient with other similar profiles that already have a confirmed diagnosis. Involving information technology in this field will change so the time which the physicians should spend in front of the computer into a much more beneficial one, providing them with the possibility for more interaction with the patient while listening to the patient's needs. The expert system, described in the paper, is an application for medical diagnostic of the most frequently met conditions, based on logical programming and on the theory of probabilities. The system rationale is a search item in the field basic knowledge on the condition. The web application described in the paper is implemented for the ward of pathological anatomy of a hospital in Romania. It aims to ease the healthcare staff's work, to create a connection of communication at one click between the necessary wards and to reduce the time lost with bureaucratic proceedings. The software (made in PHP programming language, by writing directly in the source code) is developed in order to ease the healthcare staff's activity, being created in a simpler and as elegant way as possible.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.2
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• pp.117-124
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• 2021

This study is a study to recognize hand movements using a neural network for wrist rehabilitation. The rehabilitation of the hand aims to restore the function of the injured hand to the maximum and enable daily life, occupation, and hobby. It is common for a physical therapist, an occupational therapist, and a security tool maker to form a team and approach a doctor for a hand rehabilitation. However, it is very inefficient economically and temporally to find a place for treatment. In order to solve this problem, in this study, patients directly use smart devices to perform rehabilitation treatment. Using this will be very helpful in terms of cost and time. In this study, a wrist rehabilitation dataset was created by collecting data on 4 types of rehabilitation exercises from 10 persons. Hand gesture recognition was constructed using a neural network. As a result, the accuracy of 93% was obtained, and the usefulness of this system was verified.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.10
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• pp.1234-1239
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• 2019

This paper proposes a method for measuring fine dust concentration through digital processing of images captured by only existing CCTVs without additional equipment. This image processing algorithm consists of noise reduction, edge sharpening, ROI setting, edge strength calculation, and correction through HSV conversion. This algorithm is implemented using the C ++ OpenCV library. The algorithm was applied to CCTV images captured over a month. The edge strength values calculated for the ROI region are found to be closely related to the fine dust concentration data. To infer the correlation between the two types fo data, a trend line in the form of a power equation is established using MATLAB. The number of data points deviating from the trend line accounts for around 12.5%. Therefore, the overall accuracy is about 87.5%.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.11 no.5
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• pp.53-62
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• 2001

Fast diffusion of personal computer and network, and developed security technology are augmenting specific gravity of convenient and safe electronic voting system supplementing much problems of existent off-line vote form. But in spite of enlargement of these weight, much limitations are extravagant. Specially, problem that secure voter\`s anonymousness and accuracy of poll can be important urea that judge if electronic voting system can be applied actually. Also, problems such as buying and selling of vote remain to subject that must solve yet. In this paper, we introduce items that is considered to design the safe electronic voting system, and present limitation of electronic polling system announced in [1]. And we propose improvement way. Improved protocol keeping advantages that is presented in [1], designed to keep away voter\`s anonymousness defamation by conspiracy of Election Administration Committee and Totaling Committee, and block unlawful election intervention as original.

• International Journal of Computer Science & Network Security
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• v.21 no.6
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• pp.156-160
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• 2021

Every day brings a new challenge to the humanities. Life nowadays needs accuracy, privacy, integrity, authenticity, and security to run life systems especially the monetary system. Things now differ from previous centuries. Multiple varieties in digital banking have opened the new and most advanced innovations for human beings. The monetary system is going to developed day by day to facilitate the public. Electronic money has amazed the world and gave a challenge to central banking. For this purpose, there will be a need for strict security, information, and confidence. Blockchain technology has opened new gateways. Bitcoin has become the most famous digital currency, which has created a thunderstorm in digital marketing. Blockchain, as a new Financial Technology, has satisfied all the security issues and satisfied doing business in secure ways that encourage investors to invest and keep the world business wheel. Assessment of the sustainability of implementing Bitcoin in financial institutions will be discussed. Every new system has its pros and cons in which a clear vision of what we are about to use can be sought. Through this research paper, a demonstration of the monetary system evolution, the new ways of doing business, some evidence in a form of academic cases will be demonstrated through comparison a table, a suggested method to transfer to the new system in safe mode will be proposed, and a conclusion will be concluded.

• The Journal of Society for e-Business Studies
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• v.26 no.1
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• pp.127-140
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• 2021

Recently, sequence data containing time information, such as sensor measurement data and purchase history, has been generated in various applications. So far, many methods for finding sequences that are significantly different from other sequences among given sequences have been proposed. However, most of them have a limitation that they consider only the order of elements in the sequences. Therefore, in this paper, we propose a new anomalous sequence detection method that considers both the order of elements and the time interval between elements. The proposed method uses an extended LSTM autoencoder model, which has an additional layer that converts a sequence into a form that can help effectively learn both the order of elements and the time interval between elements. The proposed method learns the features of the given sequences with the extended LSTM autoencoder model, and then detects sequences that the model does not reconstruct well as anomalous sequences. Using experiments on synthetic data that contains both normal and anomalous sequences, we show that the proposed method achieves an accuracy close to 100% compared to the method that uses only the traditional LSTM autoencoder.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.173-186
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• 2020

In this paper, we design and implement a service system for mobile devices to utilize the integrated underground geospatial information map in underground exploration fields. The field utilization service system for mobile devices is designed to visualize tiled maps, 3D terrain information, underground structures, underground facilities, and ground information provided by the Integrated Underground Geospatial Information Map Management System according to current position. And It is designed to reflect the results obtained from field exploration in real time. Also, the proposed system is implemented to transfer and visualize the integrated underground geospatial information map in the form of a glTF format due to constraints on wireless networks and device characteristics of mobile devices. Implemented mobile service systems can prevent accidents in underground exploration field from occurring by providing users with accurate and integrated underground geospatial data by visualizing maps and geospatial objects in three dimensions at underground exploration fields. In addition, updated underground geospatial data is transmitted in real time to the Integrated Underground Geospatial Information Map Management Systems, which can maintain up to date and accuracy.