• International journal of advanced smart convergence
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• v.11 no.2
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• pp.30-37
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• 2022

Because fine dust (PM10) has a close effect on the environment, fine dust generated in the climate and living environment has a bad effect on the human body. In this study, the LSTM model was applied to predict and analyze the effect of fine dust on Gwangju Metropolitan City in Korea. This paper uses prediction values of input variables selected through correlation analysis to confirm fine dust prediction performance. In this paper, data from the Gwangju Metropolitan City area were collected to measure fine dust. The collection period is one year's worth of data was used from january to December of 2021, and the test data was conducted using three-month data from January to March of 2022. As a result of this study, in the as a result of predicting fine dust (PH10) and ultrafine dust (PH2.5) using the LSTM model, the RMSE was 4.61 and the test result value was as low as 4.37. This reason is judged to be the result of the contents of the one-year sample.

• 중국학논총
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• no.70
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• pp.239-260
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• 2021

In this paper, a total of 4413 place names are collected to analyze the origin and structure of place names from the two categories of nature and humanity. In this collection, there are slightly more natural place-names than humanistic ones, and hydrological ones account for the largest proportion of natural place-names, reflecting the geographical characteristics of Leizhou Peninsula surrounded by sea on three sides. Most of the place names handed down from the feudal period were natural ones. In addition, most of the place names produced after the founding of the People's Republic of China are mainly humanistic place names. In the phonetic aspect of place names, there are still quite a few ancient Vietnamese place names that can be remembered because of oral transmission. With the progress of cultural and economic development, the further development of place names will be dominated by humanistic place names.

• International Journal of Advanced Culture Technology
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• v.10 no.2
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• pp.122-129
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• 2022

This study is a phenomenological qualitative study that confirms the structure of college students' thoughts on artificial abortion. The data collection period was from 5 March to 10 April 2022. To this end, a total of three interviews were conducted on seven college students aged 20 to 25. Interview data were conducted through analysis and interpretation using the phenomenological research method, the Giorgi method, and as a result, 40 semantic units were derived, grouped into six sub-components, and divided into three categories. As a result of the analysis, college students' thoughts on artificial abortion consisted of fetal rights, respect for women's rights, and choices for a healthy life. Based on the above meaning, college students' thoughts on artificial abortion were, in conclusion, that considering the happiness of the baby and the quality of life of the woman, consideration for non-marriage mothers was more urgent than legal sanctions, and that abortion was not irresponsible. Accordingly, this study suggests that understanding and consideration for pregnant women should be prioritized over legal sanctions.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.1-7
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• 2023

Since the first outbreak of COVID-19 in 2019, it has caused a huge blow to the restaurant industry. However, as social distancing was lifted as of April 2022, the restaurant industry gradually recovered, and as a result, interest in restaurant start-ups increased. Therefore, in this paper, big data analysis was conducted by selecting "restaurant start-up" as a key keyword through social media big data analysis using Textom and then conducting word frequency and CONCOR analysis. The collection period of keywords was selected from May 1, 2022 to May 23, 2023, after the lifting of social distancing due to COVID-19, and based on the analysis, the development of a restaurant start-up consulting chatbot service is proposed.

• Annual Conference of KIPS
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• 2020.05a
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• pp.44-46
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• 2020

Aggregating data with an optimal delay, which is a critical problem in Wireless Sensor Networks applications, is proven as NP-hard. In this paper, we focus on optimizing the aggregation delay by presenting an idea for channel and timeslot co-scheduling data aggregation in MWSNs. The proposed scheme, which names Break and Join, maximizes the number of sensor nodes to be scheduled in a working period, so that the overall number of working periods and data collection delay are reduced.

• Asia-Pacific Journal of Business
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• v.14 no.1
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• pp.427-437
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• 2023

Purpose - The purpose of this research is to examine the impact of job satisfaction related attributes on the level of life satisfaction of individuals with disabilities. Job satisfaction related elements consist of wage level, job stability, working condition, career development, and communication. Design/methodology/approach - For the data collection, this research made use of The Korean Panel Survey of Employment for people with disabilities, with the study period consisting of 2016-2018, and the number of observations measuring 4405. For the data analysis, the ordinary least square, fixed effect, and random effect regression models were used. Findings - The results indicate that the life satisfaction of people with disabilities is positively influenced by wage satisfaction, job stability satisfaction, working condition satisfaction, career development satisfaction, and communication satisfaction. Research implications or Originality - This study informs policy makers for the design of welfare for people with disability, specifically related to their labor conditions.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.78-80
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• 2022

Strawberry (Fragaria × ananassa) cultivation methods are rapidly changing from traditional soil cultivation to high bed hydroponics, which are easy to agricultural working. The objective was to evaluate the growth characteristics of three strawberry cultivars cultivated high bed system. The "Seolhyang", "Altaking", and "Keumsil" strawberry plants were transplanted in a glass-type greenhouse at Kyungpook National University Gunwi Agricultural Field. The cultivation period was approximately seven months from September 17, 2021 to April 21, 2022. Growth parameters measured including the number of leaves, plant height, petiole length, leaf length, leaf width, and crown diameter at two-week intervals. The environmental parameters for each location in the greenhouse were collected. Plant height in all cultivars continued to decrease from the early stage to the late stage of growth. The crown diameter was increased by 50 DAT, and then gradually decreased until late growth stage in all cultivars. Results indicated that the growth parameters represented to vary according to the cultivar of strawberry plants.

• ETRI Journal
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• v.45 no.4
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• pp.627-635
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• 2023

In vehicular edge computing (VEC) networks, the rapid expansion of intelligent transportation and the corresponding enormous numbers of tasks bring stringent requirements on timely task offloading. However, many tasks typically appear within a short period rather than arriving simultaneously, which makes it difficult to realize effective and efficient resource scheduling. In addition, some key information about tasks could be learned due to the regular data collection and uploading processes of sensors, which may contribute to developing effective offloading strategies. Thus, in this paper, we propose a model that considers the deterministic demand of multiple tasks. It is possible to generate effective resource reservations or early preparation decisions in offloading strategies if some feature information of the deterministic demand can be obtained in advance. We formulate our scenario as a 0-1 programming problem to minimize the average delay of tasks and transform it into a convex form. Finally, we proposed an efficient optimal offloading algorithm that uses the interior point method. Simulation results demonstrate that the proposed algorithm has great advantages in optimizing offloading utility.

• International Journal of Advanced Culture Technology
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• v.11 no.4
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• pp.216-222
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• 2023

The purpose of this study is to examine the effect of caffeine intake on sleep duration of college students. The data collection period was April 6 to June 30, 2023, and 381 samples were used for final analysis. The general characteristics of the subjects were 38.6% daily water intake of less than 1 liter, caffeine beverage intake was 36.5% once to twice a week, 25.2% three to four times, 13.9% five to six times, 14.7% zero times, and 9.7% more than seven times. The most common purpose of caffeine intake was "to wake up" at 54.6%. factors affecting the subjects' sleep were Caffeine drinks besides coffee and grades. Since this study confirmed that non-coffee caffeine drinks affect sleep duration among caffeine drinks available to students, it is necessary to provide education on caffeine intake control and information that the maximum daily intake is 400 mg for college students.

• ETRI Journal
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• v.45 no.6
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• pp.939-951
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• 2023

It is critical to estimate the location using only Long-Term Evolution (LTE) and Wi-Fi information gathered by the user's smartphone and deployable for emergency rescue, regardless of whether the Global Positioning System is received. In this research, we used a vehicle to gather LTE and Wi-Fi wireless signals over a large area for an extended period of time. After that, we used the learning technique to create a positioning database that included both collection and noncollection points. We presented a two-step positioning algorithm that utilizes coarse localization to discover a rough location in a wide area rapidly and fine localization to estimate a particular location based on the coarse position. We confirmed our technology utilizing different sorts of devices in four regional types that are generally encountered: dense urban, urban, suburban, and rural. Results presented that our algorithm can satisfactorily achieve the target accuracy necessary in emergency rescue circumstances.