• Journal of the Korean Institute of Gas
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• v.18 no.4
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• pp.86-94
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• 2014

To develop a Root Cause Analysis Map which determines the cause of the accident in chemical laboratory, The Root Cause Analysis(RCA) Map for the laboratory areas was sketched from Phase 1 of the accident element to Phase 3 of the accident element, based on the RCA Map which is applied in the petrochemical industry. On the basis of laboratory RCA Map which was classified by using such method. The root causes of the 211 accident cases in laboratories were classified from Phase 4 to Phase 5 by the Cause Factor Charting technique and The cause of the accident data were inputted to EXCEL program. After that, The causes of the accident data were sorted and classified by type and each step. So 'Approximate Primary RCA Map Draft' was written. In addition, it was reaffirmed whether the root causes of 211 accidents of laboratory were appropriate to 'Primary RCA Map Draft'. By complementing the cause which was expected to cause future accidents, the RCA Map for chemical laboratories was developed. Based on 'RCA Map' proposed in this study, the causes of accidents were analysed management systems 35%, monitoring 12.2%, Human Factor Eng. 15.1% and education training 12.1% by the size of the frequency from Phase 1 to Phase 5.

• Korean Chemical Engineering Research
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• v.46 no.1
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• pp.131-136
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• 2008

Silica- or titania-filled poly (vinylidene fluoride-co-hexafluoropropylene)-based polymer electrolytes were prepared by phase inversion technique using N-methyl-2-pyrrolidone and dimethyl acetamide as solvent and water as non-solvent. The polymer electrolytes were adopted to the lithium metal polymer battery using high-capacity cathode $Li[Ni_{0.15}Co_{0.10}Li_{0.20}Mn_{0.55}]O_2$ and lithium metal anode. After the repeated charge-discharge test for the cell, it was proved that the cell adopting the polymer electrolyte based on the phase-inversion membrane containing 40~50 wt% silica showed the highest discharge capacity (180 mAh/g) until 80th cycle and then abrupt capacity fade was just followed. The capacity fade might be due to the deposition of lithium dendrite on the polymer electrolyte, in which the capacity retention was no longer sustainable.

• Journal of Digital Convergence
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• v.18 no.10
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• pp.233-238
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• 2020

In the cloud environment, IoT devices using sensors and wearable devices are being applied in various environments, and technologies that accurately determine the information generated by IoT devices are being actively studied. However, due to limitations in the IoT environment such as power and security, information generated by IoT devices is very weak, so financial damage and human casualties are increasing. To accurately collect and analyze IoT information, this paper proposes a topographic information-based key management technique that considers IoT information errors. The proposed technique allows IoT layout errors and groups topographic information into groups of dogs in order to secure connectivity of IoT devices in the event of arbitrary deployment of IoT devices in the cloud environment. In particular, each grouped terrain information is assigned random selected keys from the entire key pool, and the key of the terrain information contained in the IoT information and the probability-high key values are secured with the connectivity of the IoT device. In particular, the proposed technique can reduce information errors about IoT devices because the key of IoT terrain information is extracted by seed using probabilistic deep learning.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.173-181
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• 2017

In this paper, we have studied tracking as a training stage of considering the position and the scale of a person given its previous position, scale, as well as next and forward image fraction. Unlike other learning methods, CNN is thereby learning combines both time and spatial features from the image for the two consecutive frames. We introduce multiple path ways in CNN to better fuse local and global information. A creative shift-variant CNN architecture is designed so as to alleviate the drift problem when the distracting objects are similar to the target in cluttered environment. Furthermore, we employ CNNs to estimate the scale through the accurate localization of some key points. These techniques are object-independent so that the proposed method can be applied to track other types of object. The capability of the tracker of handling complex situations is demonstrated in many testing sequences. The accuracy of the SVM classifier using the features learnt by the CNN is equivalent to the accuracy of the CNN. This fact confirms the importance of automatically optimized features. However, the computation time for the classification of a person using the convolutional neural network classifier is less than approximately 1/40 of the SVM computation time, regardless of the type of the used features.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.459-464
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• 2017

This study aims to provide basic materials for marketing strategies of cosmeceuticals by investigating customers' recognition and satisfaction about cosmeceuticals targeting 161 adult men and women in their 20s to 50s and living in Seoul, Korea and then analyzing what should be improved for customers. According to the survey, many customers prefer cosmeceuticals due to the professionalism recognized by hospitals, the recommendation by doctors and the scientific image, though the recognition about cosmeceuticals is low among customers in their 40s or older because they are unfamiliar with the term. The survey also shows that the satisfaction about cosmeceuticals is very high in that 94.41% out of 49.85% total users said they were willing to repurchase them, while 72.22% out of 50.15% total nonusers said they wanted to purchase them. The greater knowledge about skin, the higher the interest in cosmetics and the aesthetic practice rate. When it comes to comparing cosmeceutical users and nonusers in choosing cosmetic products, the greater knowledge about skin, more nonusers consider brand recognition (r=.222, p<.05) and cosmetic ingredient (r=.245, p<.005); and more users convenience (r=.162, p<.05). Now that total customers' awareness of cosmeceuticals remains low yet, therefore, it is considered necessary to steadily promote them, enhance repurchase factors, and come up with strategies differentiated from ordinary cosmetics.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.493-501
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• 2017

This study aimed to present cosmetic countermeasures for preventing fast aging process in the middle age and accepting healthy aging both physically and mentally by investigating the perception of aging according to the health condition, lifestyle and psychological condition targeting mid-aged women in 40s to 50s residing in Seoul and Gyeonggi-do Province. The data collection period was from July 25 to Sept 1, 2015. The data was analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients, and stepwise multiple regression. It was shown that as the age was higher, the menopause ratio was higher, drinking, exercise volume and hours of sleep were reduced and the stress and psychological pressure were higher. According to the menopausal status, the status of facial aging showed a significant difference (${\chi}^2=39.692^{***}$, p<.001), and it also showed a difference according to the status of leisure (hobby) activity (${\chi}^2=22.470^{***}$, p<.01). Also, as higher the age and closer to the menopause in items including the progress of aging, anxiety about aging and improvement efforts, more negative perception was shown, indicating that it is necessary to prepare cosmetic countermeasures for mid-aged women in like a second puberty 40s to 50s although aging and menopause around 50s are very natural. If a beauty alternative is provided, it will help them to have a successful retirement.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.549-554
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• 2017

This study conducted a survey on 319 Chinese women in their 20s to 50s living in three large cities in China, with an aim to analyze the influence on the purchasing behavior and satisfaction for Korean cosmetics depending on their complex purchasing tendencies. According to the research, the rational tendency was higher when the subjects were over 40 years old and married, and the impulsive tendency was the highest in those in their 30s. There was no huge difference in regions depending on the two tendencies, while there were statistically significant differences in purchasing period, times and costs when buying cosmetics. In addition, purchasing satisfaction for cosmetics had a positive correlation with purchasing tendencies. The subjects pursued convenience in purchasing as their rational tendency was higher, while they sought the trends as their impulsive tendency was higher. Based on the results, it is expected to maximize purchasing satisfaction of Chinese female consumers depending on their purchasing tendencies, if the Korean cosmetics makers provide reliable quality assurance, product exchange and customer management services. It is also expected to help revitalize the beauty market for China as well as Southeast Asia, if the Korean cosmetics companies implement differentiated marketing strategies targeting the customers in the age group with the impulsive consumption tendency.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.223-229
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• 2018

Recently, the necessity of safety diagnosis of electrical devices has been increasing as the fire caused by electric devices has increased rapidly. This study is concerned with the safety diagnosis of electric equipment using intelligent Fuzzy technology. It is used as a diagnostic input for the multiple electrical safety factors such as the use current, cumulative use time, deterioration and arc characteristics inherent to the equipment. In order to extract these information in real time, a device composed of various sensor circuits, DSP signal processing, and communication circuit is implemented. The fuzzy logic algorithm using the Gaussian function for each information is designed and compiled to be implemented on a small DSP board. The fuzzy logic receives the four diagnostic information, deduces it by the fuzzy engine, and outputs the overall safety status of the device as a 100-step analog fuzzy value familiar to human sensibility. By experiments of a device that combines hardware and fuzzy algorithm implemented in this study, it is verified that it can be implemented in a small DSP board with human-friendly fuzzy value, diagnosing real-time safety conditions during operation of electric equipment. In the future, we expect to be able to study more intelligent diagnostic systems based on artificial intelligent with AI dedicated Micom.

• Journal of Digital Convergence
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• v.18 no.4
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• pp.67-74
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• 2020

The purpose of this study has developed a teaching and learning informatization indicator that provides the basis for utilizing or disseminating the beneficial teaching and learning informatization environment promoted by each university. The research method analyzes various informatization indicators developed by KERIS from 2002 to 2015 and recent environment such as Edutech, future education report, teaching and learning field report, and reflects them in indicator development. The development of the third indicator was completed by dividing it into Input, Process, Output stages by reflecting expert opinions in the first and second indicators. As a result, the core words of the university's teaching-learning informatization infrastructure building, sharing of educational resources, open development and sharing, joint purchase of resources, information safety system and literacy education, current status grasping, and resource utilization were derived. In the future, I will fill out the questionnaire to supplement the question through a pilot test and to grasp the current status of teaching and learning informatization in the entire university.

• Journal of Digital Convergence
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• v.17 no.12
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• pp.181-190
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• 2019

The purpose of this study is to evaluate the operational efficiency of Chinese e-commerce companies and to present measures to improve efficiency. This paper selected 16 enterprises as the research objects, from the e-commerce demonstration enterprises of the Ministry of Commerce of China in 2017-2018, to conduct an empirical study on the operating efficiency of e-commerce enterprises. By using DEA method, we selected 3 input and 2 output indicators to measure the input-output efficiency of enterprises from input-oriented. Using different model in DEA, we calculated the technical efficiency, pure technical efficiency and scale efficiency, also efficiency based on the sample of 2018 and horizontal analysis from 2016 to 2018. The analysis showed that the overall efficiency of Chinese e-commerce companies was continuously improving, and that their business capabilities and business scale were also gradually improving. Through the calculation of efficiency, we evaluated the competitiveness of the e-commerce demonstration enterprises, and explored measures to improve their management efficiency. At the same time, it put forward some reasonable suggestions to adjust the scale, and enhance the competitive advantage.