• Journal of Digital Convergence
• /
• v.19 no.6
• /
• pp.175-184
• /
• 2021

The purpose of this study is to investigate the effect of the strategic role of the human resources department in the manufacturing industry on organizational effectiveness through education and training satisfaction. Among the data from the 7th human capital company panel survey, data from the manufacturing industry were used and analyzed through a structural equation model. The results of this study are as follows: First, the strategic role of the HR department has a positive effect on satisfaction with education and training. Second, satisfaction with education and training and the strategic role of HR departments have a positive effect on job satisfaction among organizational effectiveness. Third, it was confirmed that education and training satisfaction has a mediating effect on the relationship between the HR department's strategic role and job satisfaction. The results of this study are expected to become the basis for expanding the authority and responsibilities of the HR department, which is an important factor in overcoming the crisis faced by SMEs as well as innovation, and redefining their role.

• Journal of Industrial Convergence
• /
• v.19 no.3
• /
• pp.67-74
• /
• 2021

The purpose of this study is to analyze the research trends of lifelong education workers, based on research articles related to lifelong education workers published in domestic journals from 2001 to 2021, and to provide basic data for future lifelong education workers research. In order to achieve these research objectives, research trends of 40 research articles related to lifelong education workers published in domestic journals were analyzed by research subject and research method, and the detailed research conclusions are as follows. First, as a result of the analysis by characteristics of researches related to lifelong education workers, it has been continuously increasing since 2001 out of a total of 40 articles by year. From 2001 to 2005, there were 2, 8 from 2006 to 2010, 10 from 2011 to 2015, and 20 from 2016 to 2021. By major publication, there were a total of 20 publications, including 8 Lifelong Education Studies, 5 Lifelong Learning Society, 4 Andragogy Today, and 3 HRD Studies, and 20 articles were published in non-mainstream journals. Second, as a result of the analysis of each study subject, there were 20 lifelong education history, 16 lifelong education managers, and 4 others. Third, as a result of analysis by research method, quantitative research was most used, followed by qualitative research, literature research, and mixed research. In future research, many research topics such as analysis of various policies related to lifelong education workers and exploration of development plans should be carried out.

• Journal of Cadastre & Land InformatiX
• /
• v.51 no.1
• /
• pp.53-65
• /
• 2021

C-ITS(Cooperative Intelligent Transport System) that pursues traffic safety and convenience uses various sensors to generate traffic information. Therefore, it is necessary to improve the sensor-related technology to increase the efficiency and reliability of the traffic information. Recently, the role of CCTV in collecting video information has become more important due to advances in AI(Artificial Intelligence) technology. In this study, we propose to identify and track dynamic objects(vehicles, people, etc.) in CCTV images, and to analyze and provide information about them in various environments. To this end, we conducted identification and tracking of dynamic objects using the Yolov4 and Deepsort algorithms, establishment of real-time multi-user support servers based on Kafka, defining transformation matrices between images and spatial coordinate systems, and map-based dynamic object visualization. In addition, a positional consistency evaluation was performed to confirm its usefulness. Through the proposed scheme, we confirmed that CCTVs can serve as important sensors to provide relevant information by analyzing road conditions in real time in terms of road infrastructure beyond a simple monitoring role.

• Conservation Science in Museum
• /
• v.24
• /
• pp.55-74
• /
• 2020

The Sacred Bell of Great King Seongdeok is required digital precision recording of conservation conditions because of corrosion and partial abrasion of its patterns and inscriptions. Therefore, this study performed digital documentation of the bell using four types of scanning and unmanned aerial vehicle (UAV) photogrammetry technologies, and performed the various shape analyses through image processing. The modeling results of terrestrial laser scanning and UAV photogrammetry were merged and utilized as basic material for monitoring earthquake-induced structural deformation because these techniques can construct mutual spatial relationships between the bell and its tower. Additionally, precision scanning at a resolution four to nine times higher than that of the previous study provided highly valuable information, making it possible to visualize the patterns and inscriptions of the bell. Moreover, they are well-suited as basic data for identifying surface conservation conditions. To actively apply three-dimensional scanning results to the conservation of the original bell, the time and position of any changes in shape need to be established by further scans in the short-term. If no change in shape is detected by short-term monitoring, the monitoring should continue in medium- and long-term intervals.

• Journal of The Korean Association of Information Education
• /
• v.24 no.5
• /
• pp.473-481
• /
• 2020

Data science starts with small data analysis and includes machine learning and deep learning for big data analysis. Data science is a core area of artificial intelligence technology and should be systematically reflected in the school curriculum. For data science education, The Entry also provides a data analysis tool for elementary education. In a big data analysis, data samples are extracted and analysis results are interpreted through statistical guesses and judgments. In this paper, the big data analysis area that requires statistical knowledge is excluded from the elementary area, and data science education examples focusing on the elementary area are proposed. To this end, the general data science education stage was explained first, and the elementary data science education stage was newly proposed. After that, an example of comparing values of data variables and an example of analyzing correlations between data variables were proposed with public small data provided by Entry, according to the elementary data science education stage. By using these Entry data-analysis examples proposed in this paper, it is possible to provide data science convergence education in elementary school, with given data generated from various subjects. In addition, data science educational materials combined with text, audio and video recognition AI tools can be developed by using the Entry.

• Journal of Apiculture
• /
• v.34 no.1
• /
• pp.47-55
• /
• 2019

Honey bees are a vital part of the food chain as the most important pollinators for a broad palette of crops and wild plants. The climate change and colony collapse disorder (CCD) phenomenon make it challenging to develop ICT solutions to predict changes in beehive and alert about potential threats. In this paper, we report the test results of the bee-counting system which stands out against the previous analogues due to its comprehensive components including an improved dual infrared sensor to detect honey bees entering and leaving the hive, environmental sensors that measure ambient and interior, a wireless network with the bluetooth low energy (BLE) to transmit the sensing data in real time to the gateway, and a cloud which accumulate and analyze data. To assess the system accuracy, 3 persons manually counted the outgoing and incoming honey bees using the video record of 360-minute length. The difference between automatic and manual measurements for outgoing and incoming scores were 3.98% and 4.43% respectively. These differences are relatively lower than previous analogues, which inspires a vision that the tested system is a good candidate to use in precise apicultural industry, scientific research and education.

• The Journal of the Convergence on Culture Technology
• /
• v.7 no.1
• /
• pp.439-445
• /
• 2021

This study aims to investigate the distance of culture and life by 'The Relation-Approach.' For this, We identified the path and mechanism of importance of culture and life through the concept of respective distance and closed distance. We found that the structure of closed culture and closed life makes the distance of culture and life dangerous, which is operated as the factor of making dangerous culture and life. This fact shows that respectiveness operates in the process of converting respective distance to closed distance. Also, It was confirmed that the problem of solving dangerous distance can be established in the condition that mutual distance of culture and life can have the possibility of accomplishment. But We found the fact that the distance which is regarded as the true mutual distance having the consistence of the open condition-accomplishment in culture and life is actually operated by making the dangerous path and mechanism. In this point, We suggested the concept of 'The Multi-tier Dangerousness,' not 'The Single-tier Dangerousness.' We also found the importance of dangerousness of perception with a view to resolving dangerousness operating in culture and life. The fact that 'dangerousness of perception' produced 'dangerousness of phenomenon' was identified. Further more, We suggested that intrinsic perception is needed so as to healthy culture and life. And Open perception was emphasized to go to mutual distance beyond respective distance.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.1
• /
• pp.354-362
• /
• 2021

The purpose of this study was to test the mediating effect of resilience on the relationship between nurses' character and burnout. Participants were 118 clinical nurses in general hospitals located in J province. From August 1st to 31st, 2020, a questionnaire scale was used to collect the data. Data were analyzed using an independent t-test, one-way ANOVA, Pearson's correlation coefficients, linear regression, and the Sobel test. The study revealed that there was a significant positive relationship between character and resilience (r=.63, p<.001) and a negative correlation with burnout (r=-.48, p<.001). Also, resilience had a partial mediating effect on character and burnout. These findings indicate that it will be more effective to develop and apply programs that promote character and resilience to reduce burnout among clinical nurses. The conclusion that resilience affects the burnout of nurses can be used for formulating personal and organizational Human Resource Management strategies and can lead to positive protective results at the intra-personal and environmental levels.

• Journal of Korea Water Resources Association
• /
• v.54 no.2
• /
• pp.81-91
• /
• 2021

Synthetic Apreture Radar (SAR) is attracting attentions with its possibility of producing high resolution data that can be used for soil moisture estimation. High resolution soil moisture data enables more specific observation of soil moisture than existing soil moisture products from other satellites. It can also be used for studies of wildfire, landslide, and flood. The SAR based soil moisture estimation should be conducted considering vegetation, which affects backscattering signals from the SAR sensor. In this study, a SAR based soil moisture estimation at regions covered with various vegetation types on the middle area of Korea (Cropland, Grassland, Forest) is conducted. The representative backscattering model, Water Cloud Model (WCM) is used for soil moisture estimation over vegetated areas. Radar Vegetation Index (RVI) and in-situ soil moisture data are used as input factors for the model. Total 6 study areas are selected for 3 vegetation types according to land cover classification with 2 sites per each vegetation type. Soil moisture evaluation result shows that the accuracy of each site stands out in the order of grassland, forest, and cropland. Forested area shows correlation coefficient value higher than 0.5 even with the most dense vegetation, while cropland shows correlation coefficient value lower than 0.3. The proper vegetation and soil moisture conditions for SAR based soil moisture estimation are suggested through the results of the study. Future study, which utilizes additional ancillary vegetation data (vegetation height, vegetation type) is thought to be necessary.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.2
• /
• pp.127-133
• /
• 2021

A recent study of people physically falling focused on analyzing the motions of the falls using a recurrent neural network (RNN) and a deep learning approach to get good results from detecting 2D human poses from a single color image. In this paper, we investigate a detection method for estimating the position of the head and shoulder keypoints and the acceleration of positional change using the skeletal keypoints information extracted using PoseNet from an image obtained with a low-cost 2D RGB camera, increasing the accuracy of judgments about the falls. In particular, we propose a fall detection method based on the characteristics of post-fall posture in the fall motion-analysis method. A public data set was used to extract human skeletal features, and as a result of an experiment to find a feature extraction method that can achieve high classification accuracy, the proposed method showed a 99.8% success rate in detecting falls more effectively than a conventional, primitive skeletal data-use method.