• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.305-315
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• 2021

This article aims to explore the contribution of social media value to a company's financial performance in a digital environment economy since the awareness of companies and investors in the use of social media opens up new mechanisms for disseminating information. Quantitative method is used in this study with Multivariate Analysis of Variance as the analysis tool. The data used is secondary data gathered from Indonesia Stock Exchange (IDX) using 308 companies as samples. In the multivariate test, four kinds of multivariate significance tests were carried out, namely Pillai Trace, Wilk Lambda, Hotelling's Trace, and Roy's Largest Root. It was found that social media value has a small contribution in the difference of the level of profitability and the value of the company in Indonesia, but it doesn't have a contribution to the difference of the level of liquidity. The contribution was an implication of online Word of Mouth (WOM) motives which are interrelated with signal theory and as additional information for investors in relation to single-person decision theory. This study provides an insight into the importance of social media management considering that the world of digital economy will continue to develop, so companies in Indonesia need to take advantage of these opportunities.

• International Journal of Advanced Culture Technology
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• v.9 no.2
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• pp.86-90
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• 2021

Sentiment refers to a person's thoughts, opinions, and feelings toward an object. Sentiment analysis is a process of collecting opinions on a specific target and classifying them according to their emotions, and applies to opinion mining that analyzes product reviews and reviews on the web. Companies and users can grasp the opinions of public opinion and come up with a way to do so. Recently, natural language processing models using the Transformer structure have appeared, and Google's BERT is a representative example. Afterwards, various models came out by remodeling the BERT. Among them, the Facebook AI team unveiled the XLM-R (XLM-RoBERTa), an upgraded XLM model. XLM-R solved the data limitation and the curse of multilinguality by training XLM with 2TB or more refined CC (CommonCrawl), not Wikipedia data. This model showed that the multilingual model has similar performance to the single language model when it is trained by adjusting the size of the model and the data required for training. Therefore, in this paper, we study the improvement of Korean sentiment analysis performed using a pre-trained XLM-R model that solved curse of multilinguality and improved performance.

• Food Science and Industry
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• v.53 no.2
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• pp.215-224
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• 2020

The vinegar can be used not only as functional foods but as the new high-quality materials. Lifestyles have changed a lot because of single-person households, women's economic activities, the aging society, the diversification of mass media, and the traveling abroad. Lifestyle diseases have increased with the life extension. The preference for the fermented vinegar, which is safer and healthier than the synthetic vinegar, has increased since the 1990s. The market of the functional fermented vinegars rapidly grew as researches and product developments on biological activities. In particular, the fermented vinegar, which can be enhanced in functionality depending on the characteristic of materials, is useful not only in the food industry but in various industries such as medical, defense, and construction. For the steady growth of the vinegar industry in the future, it is necessary to research and develop the function of the vinegar that can be utilized in various industries.

• Human Ecology Research
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• v.59 no.1
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• pp.113-125
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• 2021

Previous research on the association between marriage and life satisfaction is limited due to the lack of attempts to investigate the time profiles of life satisfaction around marriage. This study addresses unresolved questions about the positive association between marriage and life satisfaction as well as tests if it is moderated by childhood parental divorce. Using 14 waves of the Korean Welfare Panel Study(N=3,890 individuals or 25,338 person-year observations), the author first used an ordinary least squares model with clustered standard errors and found that married people reported higher life satisfaction before marriage, compared to people who remained single during the survey. This result supports a social selection perspective. Next, the author used a fixed effects regression model and found that the transition into marriage was associated with an initial rise and subsequent decline in life satisfaction. Life satisfaction increased after reaching its lowest level in the third year of marriage. Life satisfaction after the transition into marriage was significantly higher than that observed three or more years prior to marriage. The result supports a social causation perspective. Such changing patterns were not moderated by parental divorce during childhood. This study advances the current literature on marriage and life satisfaction by using a nationally representative longitudinal data set as well as by testing social selection and causation perspectives.

• Physical Therapy Rehabilitation Science
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• v.11 no.1
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• pp.49-57
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• 2022

Objective: This study aims to conduct a comprehensive review of monitoring systems to monitor and manage physical function of community-dwelling elderly living alone and suggest future directions of unobtrusive monitoring. Design: Literature review Methods: The importance of health-related monitoring has been emphasized due to the aging population and novel corona virus (COVID-19) outbreak.As the population gets old and because of changes in culture, the number of single-person households among the elderly is expected to continue to increase. Elders are staying home longer and their physical function may decline rapidly,which can be a disturbing factorto successful aging.Therefore, systematic elderly management must be considered. Results: Frequently used technologies to monitor elders at home included red, green, blue (RGB) camera, accelerometer, passive infrared (PIR) sensor, wearable devices, and depth camera. Of them all, considering privacy concerns and easy-to-use features for elders, depth camera possibly can be a technology to be adapted at homes to unobtrusively monitor physical function of elderly living alone.The depth camera has been used to evaluate physical functions during rehabilitation and proven its efficiency. Conclusions: Therefore, physical monitoring system that is unobtrusive should be studied and developed in the future to monitor physical function of community-dwelling elderly living alone for the aging population.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.2
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• pp.212-218
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• 2022

In this paper, the necessity of AI video interview arises when conducting an interview for acquisition of excellent talent in a non-face-to-face situation due to similar situations such as Covid-19. As a matter to be supplemented in general AI interviews, it is difficult to evaluate the reliability and qualitative factors. In addition, the AI interview is conducted not in a two-way Q&A, rather in a one-sided Q&A process. This paper intends to fuse the advantages of existing AI interviews and video interviews. When conducting an interview using AI image analysis technology, it supplements subjective information that evaluates interview management and provides quantitative analysis data and HR expert data. In this paper, image-based multi-modal AI image analysis technology, bioanalysis-based HR analysis technology, and web RTC-based P2P image communication technology are applied. The goal of applying this technology is to propose a method in which biological analysis results (gaze, posture, voice, gesture, landmark) and HR information (opinions or features based on user propensity) can be processed on a single screen to select the right person for the hire.

• Journal of Internet Computing and Services
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• v.23 no.2
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• pp.37-44
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• 2022

With the outbreak of COVID-19, non-face-to-face activities such as remote learning and telecommuting have increased rapidly. As a result, the number of people staying at home and the number of hours spent inside the house have also increased since the pandemic. Our team had previously worked on methods for detecting abnormal conditions in a person's health in various circumstances within the house by converging single sensor-based algorithms. In our previous research, we installed IoT sensors indoors to detect people emergency situations requiring aids, the scope of detection was limited to indoor space due to the limitation in sensors. In this study, we have come up with a system that integrates our previous study with a new method for detecting abnormal conditions in outdoor environments using outdoor security cameras and wearable devices. The proposed system enables users to be notified of emergency situations in both indoor and outdoor areas and respond to them as quickly as possible.

• Journal of Advanced Information Technology and Convergence
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• v.10 no.2
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• pp.167-175
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• 2020

In this paper, we propose a traffic accident detection on vehicle-mounted camera. In the proposed method, the minimum bounding box coordinates the central coordinates on the bird's eye view and motion vectors of each vehicle object, and ego-motions of the vehicle equipped with dash-cam are extracted from the dash-cam video. By using extracted 4 kinds features as the input of Bi-LSTM (bidirectional LSTM), the accident probability (score) is predicted. To investigate the effect of each input feature on the probability of an accident, we analyze the performance of the detection the case of using a single feature input and the case of using a combination of features as input, respectively. And in these two cases, different detection models are defined and used. Bi-LSTM is used as a cascade, especially when a combination of the features is used as input. The proposed method shows 76.1% precision and 75.6% recall, which is superior to our previous work.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.51-56
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• 2022

The main purpose of the article is to analyze the main approaches to the formation of the food system in modern conditions. The constant growth of the population, the increase in the level of use of natural resources against the background of a decrease in their reserves causes a number of risks for the food security of both a person and the country as a whole. The problem of the formation of food security has always remained at the center of scientific interests of both domestic and foreign researchers. In the context of globalization, this issue is considered as one of the key global problems in the system. Theoretical and metodological basis studia systematic approach to study of fundamental provisions of economic science regarding the formation of the food system. Based on the results of the study, the main approaches to the formation of the food system in modern conditions were characterized. The study has limitations associated with the lack of the ability to analyze the food system on the practical activities of a single socio-economic system.

• The Korean Journal of Food & Health Convergence
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• v.8 no.4
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• pp.23-30
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• 2022

This study aims to analyze the premium hamburger market, which has recently become popular, the effect of the importance of the customer selection attribute of premium hamburgers on customer satisfaction, and the effect of customer satisfaction on repurchase intention. Existing research has focused on the importance of the selection attributes of premium hamburgers. Quality, convenience, experience, and presentation visuals were selected as customer selection attributes. This study analyzed 158 customers who had purchased and tasted premium hamburgers. To verify reliability and validity, a confirmatory factor analysis and discriminant validity analysis were performed, and a path analysis was carried out using structural equation modeling. The results showed that the quality, convenience, experience, and presentation visuals of premium hamburgers had a statistically significant effect on satisfaction. Moreover, satisfaction was verified to have a significant effect on repurchase intention. Customers' preference for premium burgers will continue to increase, thanks to the growth in national income, single-person families, and healthy food wellness. It was empirically proven that the selection attributes of premium burgers have a statistically significant effect on customer satisfaction and that satisfaction significantly affects repurchase intention. This study broadens the research horizon and has practical implications.