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Development of Proto-type Program for Automatic Change Detection and Cueing of Multi-temporal KOMPSAT-5 SAR Imagery (다중시기 KOMPSAT-5 SAR 위성영상의 자동변화탐지알림 프로토타입 프로그램 개발)

  • Chae, Sung-Ho;Oh, Kwan-Young;Lee, Sungu
    • Korean Journal of Remote Sensing
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    • v.38 no.6_4
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    • pp.1955-1969
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    • 2022
  • Most of the public and private users who use national satellite information such as the KOMPSAT series mainly use Electro-Optical and Infrared (EO/IR) satellite images, and the utilization of Synthetic Aperture Radar (SAR) images is relatively insufficient. As KOMPSAT-5 currently in operation, KOMPSAT-6 and micro SAR satellite constellation systems are scheduled to be launched in the future, the demand for utilization of SAR satellite information is increasing in various fields. Accordingly, it is necessary to possess core technology for SAR utilization that can support the utilization of SAR satellite information for users. Due to the all-weather properties of SAR system, change detection technology is a key application technology. However, until now, the development of technology that automatic change detection and cueing using SAR images is insufficient. Through this study, the requirements of automatic change detection and cueing function using multi-temporal KOMPSAT-5 SAR satellite images were derived and a prototype program was developed. This prototype program aims to secure independent SAR utilization technology and promote the utilization of domestic SAR satellite information by practitioners in public sector organizations in Korea.

Correlation between Stress, Anxiety, Depression, and Quality of Life in Parents of Children with Disabilities during COVID-19 (COVID-19 발생 상황에서 장애아동 부모의 스트레스, 불안, 우울과 삶의 질의 관련성)

  • Kim, Woong-Hee;Lee, Hye-Rim
    • The Journal of Korean Academy of Sensory Integration
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    • v.20 no.2
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    • pp.22-35
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    • 2022
  • Objective : This study was conducted to investigate the stress, anxiety, depression, and quality of life that parents of children with disabilities have according to their general characteristics and determine the correlation between stress, anxiety, depression, and quality of life. Methods : The subjects were 242 parents of children with disabilities under the age of 13 receiving treatment at rehabilitation centers for the disabled, rehabilitation hospitals, and child development centers located in D, B, and U metropolitan cities. Results : According to the result of analyzing the correlation between stress, anxiety, and depression that the parents of children with disabilities felt and the quality of their lives, the quality of their lives correlated negative with their stress, anxiety, and depression. In the case of the results according to the parents' general characteristics, stress showed a significant difference depending on the education level, monthly income, and anxiety showed a significant difference depending on child rearing time, occupation, and public transportation. Additionally, depression and the quality of life had a significant difference depending on child rearing time, education level, occupation, and monthly income. Conclusion : The results of this study identified the importance of the mental health of the parents of children with disabilities and the correlation between their mental health and quality of life. Social distancing and quarantine rules that children with disabilities must follow have limited their opportunities to receive education and treatment, so the influence of stress, anxiety, depression that the parents of children with disabilities who should continue to take care of their children should be considered. Based on these results, it is necessary to develop support services for the parents of children with disabilities for enhancement in their mental health in preparation for other disasters in the future.

An Evaluation of the Importance of Major Indicators for Measuring the Level of Spatial Informatization in Local Governments (지방정부의 공간정보화 수준 측정을 위한 주요 지표의 중요도 평가)

  • Kim, Yeon-Seong;Seo, Won-Chan;Yoon, Hong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.5
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    • pp.985-994
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    • 2022
  • This study diagnoses the maturity level of local government's spatial information policy in the face of the digital transformation period. To this end, by using the stratification (AHP) analysis technique, for the spatial information expert group, the importance evaluation is performed along with the selection of measurement indicators of the level of spatial informatization. First, the current status and indicators in terms of spatial information policies of local governments are studied through theoretical considerations. In addition, by examining previous studies, differentiation from this study is presented. In this study, 3 indicators and 18 detailed items of spatial informatization level evaluation indicators could be selected. As a result of the evaluation, the overall importance ranking for the measurement index was 0.125 (12.5%) for the establishment and utilizations of GIS Systems provided by local governments, 0.109 (10.9%) for the quality management of basic spatial information, 0.107 (10.7%) for the establishment and utilization of its own spatial information. 0.073 (7.3%) for the collaboration and sharing within the institution, 0.071 (7.1%) for the operation of education and support system on spatial information, 0.065 (6.5%) for the securing a dedicated organization and professional human resources, and interest at the institutional level were derived in the order of 0.053 (5.3%). The results of this study are expected to be usefully utilized as basic data to evaluate the level of spatial information policies promoted by local governments. In addition, if the local government's spatial information policy is pursued centering on the major indicators derived from the study, it is expected that efficient policy operation will be possible.

Experiences of Ageism and "Self-Ageism" (노인차별 경험과 자기연령주의(self-ageism))

  • Kim, Juhyun;Oh, Hyein;Ju, Kyonghee
    • 한국노년학
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    • v.40 no.4
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    • pp.659-689
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    • 2020
  • This study focuses on the process of internalizing the perception of negative discrimination among elderly people who have experienced age discrimination. The grounded theory method was used to identify the age discrimination experienced by the elderly in their daily lives and to explore the consequences of such discrimination through self-ageism. According to the analysis results, the elderly respond not only to explicit discrimination but also to implicit discrimination. In this process, the stronger the pain of old age (poverty, disease, ignorance, and solitude) and the stronger the memory of failing to respond to discrimination, the higher the level of self-ageism. "Self-ageism" has internalized the negative image of the elderly, who have been discriminated against by age, resulting in disadvantages in terms of quality of life through various reject/separate/suspension actions in reality. In the presence of supportive resources such as health, institutional support, and caregivers, the elderly have room to overcome self-ageism through more active ways. However elderly people who cannot motivate themselves and they lack these resources, elderly are trapped in negative reflux caused by self-ageism and sustained a depressed and shrinking life. In this state, it is not easy to motivate themselves and make physical, cognitive, emotional and social responses. Therefore, in this analysis, we specifically noted two aspects, contextual conditions and interventional conditions, and proposed programs for synchronizing senior citizens and improving resiliency from a microscopic point of view, and argued for the need to develop systems such as supplementing welfare and health service systems related to the entire life cycle, expanding accessibility and 'age-integration' through 'Community Care', awareness improvement and anti-discrimination laws.

Design and Implementation of BNN based Human Identification and Motion Classification System Using CW Radar (연속파 레이다를 활용한 이진 신경망 기반 사람 식별 및 동작 분류 시스템 설계 및 구현)

  • Kim, Kyeong-min;Kim, Seong-jin;NamKoong, Ho-jung;Jung, Yun-ho
    • Journal of Advanced Navigation Technology
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    • v.26 no.4
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    • pp.211-218
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    • 2022
  • Continuous wave (CW) radar has the advantage of reliability and accuracy compared to other sensors such as camera and lidar. In addition, binarized neural network (BNN) has a characteristic that dramatically reduces memory usage and complexity compared to other deep learning networks. Therefore, this paper proposes binarized neural network based human identification and motion classification system using CW radar. After receiving a signal from CW radar, a spectrogram is generated through a short-time Fourier transform (STFT). Based on this spectrogram, we propose an algorithm that detects whether a person approaches a radar. Also, we designed an optimized BNN model that can support the accuracy of 90.0% for human identification and 98.3% for motion classification. In order to accelerate BNN operation, we designed BNN hardware accelerator on field programmable gate array (FPGA). The accelerator was implemented with 1,030 logics, 836 registers, and 334.904 Kbit block memory, and it was confirmed that the real-time operation was possible with a total calculation time of 6 ms from inference to transferring result.

Optimum conditions for artificial neural networks to simulate indicator bacteria concentrations for river system (하천의 지표 미생물 모의를 위한 인공신경망 최적화)

  • Bae, Hun Kyun
    • Journal of Korea Water Resources Association
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    • v.54 no.spc1
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    • pp.1053-1060
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    • 2021
  • Current water quality monitoring systems in Korea carried based on in-situ grab sample analysis. It is difficult to improve the current water quality monitoring system, i.e. shorter sampling period or increasing sampling points, because the current systems are both cost- and labor-intensive. One possible way to improve the current water quality monitoring system is to adopt a modeling approach. In this study, a modeling technique was introduced to support the current water quality monitoring system, and an artificial neural network model, the computational tool which mimics the biological processes of human brain, was applied to predict water quality of the river. The approach tried to predict concentrations of Total coliform at the outlet of the river and this showed, somewhat, poor estimations since concentrations of Total coliform were rapidly fluctuated. The approach, however, could forecast whether concentrations of Total coliform would exceed the water quality standard or not. As results, modeling approaches is expected to assist the current water quality monitoring system if the approach is applied to judge whether water quality factors could exceed the water quality standards or not and this would help proper water resource managements.

A Study on the Impact of the Emotional Intelligence of Flight Attendants upon Customer Orientation : Focusing on the Mediating Effect regarding Knowledge Sharing (항공사 승무원의 감성지능이 고객지향성에 미치는 영향 : 지식공유에 대한 매개효과를 중심으로)

  • Park, Hye-sun
    • The Journal of the Korea Contents Association
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    • v.22 no.1
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    • pp.444-455
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    • 2022
  • The purpose of this study is to examine the roles of emotional intelligence and knowledge sharing, while focusing on the customer orientation of flight attendants, to identify the strategies to improve the quality of services provided by flight attendants. For this purpose, the researcher examined the relationships between emotional intelligence and customer orientation, as well as the impact of knowledge sharing in the process. The survey was conducted over three weeks from May 6, 2021, to May 27, 2021, and the 426 questionnaires recovered were analyzed using statistical software programs SPSS 23.0 and AMOS 23.0. The findings of this study are as follows; First, the emotional intelligence of flight attendants had a positive impact on customer orientation. Second, the emotional intelligence of flight attendants had a positive impact on knowledge sharing. Third, the knowledge sharing of flight attendants had a positive impact on customer orientation. Fourth, in the relationship between the emotional intelligence of flight attendants and their customer orientation, knowledge sharing had a significant mediating effect. Based on the findings of this study, it would be possible to consider support strategies for organizations, including the training programs for enhancing the emotional intelligence of flight attendants and a corporate culture in which knowledge sharing can be promoted.

A Study on the Learning Model Based on Digital Transformation (디지털 트랜스포메이션 기반 학습모델 연구)

  • Lee, Jin Gu;Lee, Jae Young;Jung, Il Chan;Kim, Mi Hwa
    • The Journal of the Korea Contents Association
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    • v.22 no.10
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    • pp.765-777
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    • 2022
  • The purpose of this study is to present a digital transformation-based learning model that can be used in universities based on learning digital transformation in order f to be competitive in a rapidly changing environment. Literature review, case study, and focus group interview were conducted and the implications for the learning model from these are as follows. Universities that stand out in related fields are actively using learning analysis to implement dashboards, develop predictive models, and support adaptive learning based on big data, They also have actively introduced advanced edutech to classes. In addition, problems and difficulties faced by other universities and K University when implementing digital transformation were also confirmed. Based on these findings, a digital transformation-based learning model of K University was developed. This model consists of four dimensions: diagnosis, recommendation, learning, and success. It allows students to proceed with learning by diagnosing and recommending various learning processes necessary for individual success, and systematically managing learning outcomes. Finally, academic and practical implications about the research results were discussed.

Analysis of public opinion in the 20th presidential election using YouTube data (유튜브 데이터를 활용한 20대 대선 여론분석)

  • Kang, Eunkyung;Yang, Seonuk;Kwon, Jiyoon;Yang, Sung-Byung
    • Journal of Intelligence and Information Systems
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    • v.28 no.3
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    • pp.161-183
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    • 2022
  • Opinion polls have become a powerful means for election campaigns and one of the most important subjects in the media in that they predict the actual election results and influence people's voting behavior. However, the more active the polls, the more often they fail to properly reflect the voters' minds in measuring the effectiveness of election campaigns, such as repeatedly conducting polls on the likelihood of winning or support rather than verifying the pledges and policies of candidates. Even if the poor predictions of the election results of the polls have undermined the authority of the press, people cannot easily let go of their interest in polls because there is no clear alternative to answer the instinctive question of which candidate will ultimately win. In this regard, we attempt to retrospectively grasp public opinion on the 20th presidential election by applying the 'YouTube Analysis' function of Sometrend, which provides an environment for discovering insights through online big data. Through this study, it is confirmed that a result close to the actual public opinion (or opinion poll results) can be easily derived with simple YouTube data results, and a high-performance public opinion prediction model can be built.

Implant-assisted removable partial denture using Milled-Bar and Attachment in partially edentulous maxilla: A case report (상악 부분 무치악 환자에서 Milled-bar와 어태치먼트를 이용한 임플란트 부분 피개의치 수복 증례 보고)

  • Jeong, Yun-Su;Jeong, Chang-Mo;Yun, Mi-Jung;Lee, So-Hyoun;Huh, Jung-Bo
    • The Journal of Korean Academy of Prosthodontics
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    • v.60 no.4
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    • pp.412-419
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    • 2022
  • For treatment of partially edentulous patients, a treatment using implant is widely used. Treatment method using implant are implant fixed prostheses and removable partial dentures, and for patients with severe bone resorption, removable implant overdenture with the effects of aesthetic and reducing cost can be used as treatment options. Specially, prosthesis with milled-bar and attachment has the effect of being splinted between implant fixtures, higher retention and stability than conventional removable partial denture. And it has the effect of improvement of aesthetic through lip support by denture base. In this case, the patient with severe alveolar bone resorption and partial edentulous maxilla and mandible was treated by implant-assisted removable partial denture using Milled-bar and ADD-TOC attachment. The esthetic was improved by removing the clasp because of effects of additional retention by using the attachment, and reducing palatal coverage of implant-assisted removable partial denture. The clinical results were satisfactory on the aspect of aesthetic and masticatory function.