• Title/Summary/Keyword: images of korea

Search Result 10,791, Processing Time 0.044 seconds

A Study on the Relationship between God's Image and Parental Image for the Development of Healthy Christian Identity of Children : with an Emphasis on Ana-Maria Rizzuto's Theory of God's Image (자녀의 건강한 기독교 정체성 형성을 위한 신 표상 및 부모 이미지의 상관성에 관한 연구 : 리주토(Ana-Maria Rizzuto)의 신 표상(God's image) 이론을 중심으로)

  • Gyeongsook Lee
    • Journal of Christian Education in Korea
    • /
    • v.77
    • /
    • pp.203-223
    • /
    • 2024
  • This study aims to reflect on how the experiences in the interrelationship between parents and children affect the formation of God's image and how it affects the formation of healthy Christian identity. We will explore the implications of this research on education for the formation of healthy Christian identity for children. Based on the theories of God's image by Erickson, Freud, and Rizzuto, we examine in-depth how the parental image that children acquire in their relationship with their parents is related to the image of God, which is the basis of their lives. Parents are like caregivers, guardians, and absolute beings that enable their children's survival and safety from their birth. The parental image that a child has through interaction with their parents has a close relationship with the image of God. Amid the existential limitations and restrictions faced by children and parents, negative experiences such as oppression, punishment, and anger that children receive from their parents leave various psychological wounds inside the child. What is important here is that the summation of negative experiences inflicted on the child should not exceed the appropriate level that the child can endure. In addition, children should be guided to feel the following in their relationship with their parents. Children need to be nurtured to feel basic trust from their parents. If these important premise is not observed, the distorted parental image will lead to distorted God's image. Unreliable or violent images of parents will pose a serious threat to the formation of constructive faith or healthy Christian identity. Based on this premise, this study claims a substantial shift from oppressive, authoritarian, and one-directional ways of education to those of mutual, liberational, postconventional education. Finally, this study closes its inquiry by providing constructive direction and alternatives for the development of healthy Christian identity for Children.

A Study on Commemoration Characteristics of Vietnam War Memorials in the United States of America (미국에 있는 베트남전쟁 메모리얼에 나타난 기념성)

  • Lee, Sang-Seok
    • Journal of the Korean Institute of Landscape Architecture
    • /
    • v.43 no.1
    • /
    • pp.1-15
    • /
    • 2015
  • The purpose of this study was to analyze the commemoration characteristics of Vietnam War Memorials(VWM) in the United States(VWMUS). Through site survey and internet research, the researcher selected 87 VWMUS except monuments simply with markers, and analyzed 5 analysis items: design concepts, spatial characteristics, landscape details, sculptures, and interpretive texts and symbols. The results are as follows: 1. The analysis revealed that the main concepts of VWMUS were to cherish victims of the Vietnam War(85 sites (97.7%)), show veteran's dedication for country(85 sites(97.7%)), and publicize the contribution of groups by troop, regional, and membership(84 sites(96.6%)). 2. Most VWMUS were located in memorial parks and plazas. 59 memorials(67.8%) were designed to pursue the completion of each memorial assuming the form of symmetry and circles. On the other hand, 12 memorials(13.8%) were typed memorial walls and 11 memorials(12.6%) were formed by spatial sequence including various landscape details and grading. 3. Stone walls were mainly used to cherish victims of the War at 65 memorials(74.7%), and also, Flags like the Stars and Stripes, POW MIA flags, and state flags were hoisted to symbolize memorial's identity at all memorials. Additionally, Benches, monuments, markers, posts and columns, ponds and channels, Helicopters were partially introduced some memorials. 4. Sculptures were used 21 memorials(24.1%) which were smaller in numbers than other War Memorial in the U.S.A., for black stonewall were used for the main element of VWMUS. Except for a few sculptures that aimed to represent the Vietnam War symbolically and narratively, 16 memorials(18.4%) were formed to realistically express the image of wounded soldiers and their hardship in the Vietnam War. 5. KIA, MIA, Veteran's name were written and their images depicted on walls, Also, the symbolic phrase, 'ALL GAVE SOME, SOME GAVE ALL' and 'DUTY, HONOR, COUNTRY' were written on the memorials walls, and the POW MIA symbols were printed on the flags and engraved on walls. 6. In the United States of America, Democratic patriotism was considered a main ideological value in VWMUS by engraving KIA MIA's names on the walls, hoisting flags Stars and Stripes and POW MIA, and writing symbolic phrases 'ALL GAVE SOME, SOME GAVE ALL' and 'DUTY, HONOR, COUNTRY'. On the contrary, in Vietnam, nationalism, patriotism, and socialism were emphasized as main ideologies through raising war victory and resistance to foreign power as well as writing the symbolic phrase 'TO-QUOC-GUI-CONG' meaning 'our country remember your achievement' on memorial towers. Further study will be required to comparatively analyze VWM in order to understand national characteristics in Korea, Australia, U.S.A, and Vietnam.

Host-Based Intrusion Detection Model Using Few-Shot Learning (Few-Shot Learning을 사용한 호스트 기반 침입 탐지 모델)

  • Park, DaeKyeong;Shin, DongIl;Shin, DongKyoo;Kim, Sangsoo
    • KIPS Transactions on Software and Data Engineering
    • /
    • v.10 no.7
    • /
    • pp.271-278
    • /
    • 2021
  • As the current cyber attacks become more intelligent, the existing Intrusion Detection System is difficult for detecting intelligent attacks that deviate from the existing stored patterns. In an attempt to solve this, a model of a deep learning-based intrusion detection system that analyzes the pattern of intelligent attacks through data learning has emerged. Intrusion detection systems are divided into host-based and network-based depending on the installation location. Unlike network-based intrusion detection systems, host-based intrusion detection systems have the disadvantage of having to observe the inside and outside of the system as a whole. However, it has the advantage of being able to detect intrusions that cannot be detected by a network-based intrusion detection system. Therefore, in this study, we conducted a study on a host-based intrusion detection system. In order to evaluate and improve the performance of the host-based intrusion detection system model, we used the host-based Leipzig Intrusion Detection-Data Set (LID-DS) published in 2018. In the performance evaluation of the model using that data set, in order to confirm the similarity of each data and reconstructed to identify whether it is normal data or abnormal data, 1D vector data is converted to 3D image data. Also, the deep learning model has the drawback of having to re-learn every time a new cyber attack method is seen. In other words, it is not efficient because it takes a long time to learn a large amount of data. To solve this problem, this paper proposes the Siamese Convolutional Neural Network (Siamese-CNN) to use the Few-Shot Learning method that shows excellent performance by learning the little amount of data. Siamese-CNN determines whether the attacks are of the same type by the similarity score of each sample of cyber attacks converted into images. The accuracy was calculated using Few-Shot Learning technique, and the performance of Vanilla Convolutional Neural Network (Vanilla-CNN) and Siamese-CNN was compared to confirm the performance of Siamese-CNN. As a result of measuring Accuracy, Precision, Recall and F1-Score index, it was confirmed that the recall of the Siamese-CNN model proposed in this study was increased by about 6% from the Vanilla-CNN model.

The reliability of the cephalogram generated from cone-beam CT (Cone-beam CT로부터 제작된 측모 두부계측방사선사진의 정확도 평가)

  • Kang, Ji-Young;Kim, Kwang-Won;Lim, Sung-Hoon
    • The korean journal of orthodontics
    • /
    • v.37 no.6
    • /
    • pp.391-399
    • /
    • 2007
  • Three-dimensional approaches for the diagnosis and analysis of the dentofacial area are becoming more popular in accordance with the development of cone-beam CT (CBCT). The purposes of this study were to evaluate the reliability of cephalometric measurements of lateral cephalograms generated from a CBCT image by making comparisons with the traditional digital lateral cephalogram, and to evaluate the possibility of the clinical application of CBCT generated cephalogram images. Methods: Twenty patients whose external auditory meatus could be identified in the CBCT image were selected, and both CBCT and digital cephalograms were taken. Differences between the measurements of both cephalograms were tested by paired t-test. Results: Among the 22 measurements used, only U1-FH, Mx6 to PTV, and maxillomandibular difference showed statistically significant differences between the CBCT generated cephalogram and the digital cephalogram. Conclusions: The results suggest that the CBCT generated cephalogram can be used for some cephalometric measurements not requiring porion, PTV, condylion as a landmark (SNA, SNB, U1 to SN, IMPA, interincisal angle, etc.).

Analysis of Surface Urban Heat Island and Land Surface Temperature Using Deep Learning Based Local Climate Zone Classification: A Case Study of Suwon and Daegu, Korea (딥러닝 기반 Local Climate Zone 분류체계를 이용한 지표면온도와 도시열섬 분석: 수원시와 대구광역시를 대상으로)

  • Lee, Yeonsu;Lee, Siwoo;Im, Jungho;Yoo, Cheolhee
    • Korean Journal of Remote Sensing
    • /
    • v.37 no.5_3
    • /
    • pp.1447-1460
    • /
    • 2021
  • Urbanization increases the amount of impervious surface and artificial heat emission, resulting in urban heat island (UHI) effect. Local climate zones (LCZ) are a classification scheme for urban areas considering urban land cover characteristics and the geometry and structure of buildings, which can be used for analyzing urban heat island effect in detail. This study aimed to examine the UHI effect by urban structure in Suwon and Daegu using the LCZ scheme. First, the LCZ maps were generated using Landsat 8 images and convolutional neural network (CNN) deep learning over the two cities. Then, Surface UHI (SUHI), which indicates the land surface temperature (LST) difference between urban and rural areas, was analyzed by LCZ class. The results showed that the overall accuracies of the CNN models for LCZ classification were relatively high 87.9% and 81.7% for Suwon and Daegu, respectively. In general, Daegu had higher LST for all LCZ classes than Suwon. For both cities, LST tended to increase with increasing building density with relatively low building height. For both cities, the intensity of SUHI was very high in summer regardless of LCZ classes and was also relatively high except for a few classes in spring and fall. In winter the SUHI intensity was low, resulting in negative values for many LCZ classes. This implies that UHI is very strong in summer, and some urban areas often are colder than rural areas in winter. The research findings demonstrated the applicability of the LCZ data for SUHI analysis and can provide a basis for establishing timely strategies to respond urban on-going climate change over urban areas.

Perception of Korean Residential Gardens and Gardening in the 1920~30s (1920~30년대 한국 주택정원 인식과 정원가꾸기 양상)

  • Gil, Jihye;Park, Hee-Soung
    • Journal of the Korean Institute of Landscape Architecture
    • /
    • v.50 no.2
    • /
    • pp.138-148
    • /
    • 2022
  • The 1920s and 1930s were when new trends became prominent in Korean housing architecture. This study began with a curiosity about the appearance of residential gardens during the transition period, when housing types were changing. Since gardens are constantly evolving and living spaces, it is not easy to give a clear picture of their evolution. However, through popular magazines and newspaper articles published in the 1920-30s, this study investigated how people perceived the gardens socially and how they engaged in gardening. First, the study of Gyeongseong's urbanization process revealed that people perceived gardens as a way to give natural beauty to the urban environment. Therefore, the creation of a residential garden was strongly encouraged. Second, the housing improvement movement, which the architects actively discussed during this period, emphasized that a garden is a factor that can help improve the quality of the residential environment in terms of hygiene and landscape aesthetics. Third, since the media provided information on gardening, it was confirmed that the number of people engaged in gardening as a hobby increased. As designers and gardeners who had received a modern education became more active, the concept of "designed gardens" was formed. Lastly, although the houses were divided into various types, the shapes of the gardens did not show a significant difference according to the architecture type. They tended to embrace the time's ideal garden design and style. Therefore, even in a traditional hanok, Western-style gardens were naturally harmonized into the overall architecture, and exotic plant species could be found. Although the gardens found in media images were limited to those belonging to the homes of the intelligentsia, it can be seen that representativeness was secured, considering the popularity and ripple effect of the media. Therefore, this study contributes to the literature as it confirmed the ideal gardens and gardening methods in the 1920s and 30s.

Analyze Technologies and Trends in Commercialized Radiology Artificial Intelligence Medical Device (상용화된 영상의학 인공지능 의료기기의 기술 및 동향 분석)

  • Chang-Hwa Han
    • Journal of the Korean Society of Radiology
    • /
    • v.17 no.6
    • /
    • pp.881-887
    • /
    • 2023
  • This study aims to analyze the development and current trends of AI-based medical imaging devices commercialized in South Korea. As of September 30, 2023, there were a total of 186 AI-based medical devices licensed, certified, and reported to the Korean Ministry of Food and Drug Safety, of which 138 were related to imaging. The study comprehensively examined the yearly approval trends, equipment types, application areas, and key functions from 2018 to 2023. The study found that the number of AI medical devices started from four products in 2018 and grew steadily until 2023, with a sharp increase after 2020. This can be attributed to the interaction between the advancement of AI technology and the increasing demand in the medical field. By equipment, AI medical devices were developed in the order of CT, X-ray, and MR, which reflects the characteristics and clinical importance of the images of each equipment. This study found that the development of AI medical devices for specific areas such as the thorax, cranial nerves, and musculoskeletal system is active, and the main functions are medical image analysis, detection and diagnosis assistance, and image transmission. These results suggest that AI's pattern recognition and data analysis capabilities are playing an important role in the medical imaging field. In addition, this study examined the number of Korean products that have received international certifications, particularly the US FDA and European CE. The results show that many products have been certified by both organizations, indicating that Korean AI medical devices are in line with international standards and are competitive in the global market. By analyzing the impact of AI technology on medical imaging and its potential for development, this study provides important implications for future research and development directions. However, challenges such as regulatory aspects, data quality and accessibility, and clinical validity are also pointed out, requiring continued research and improvement on these issues.

A Study on the Critical Success Factors of Social Commerce through the Analysis of the Perception Gap between the Service Providers and the Users: Focused on Ticket Monster in Korea (서비스제공자와 사용자의 인식차이 분석을 통한 소셜커머스 핵심성공요인에 대한 연구: 한국의 티켓몬스터 중심으로)

  • Kim, Il Jung;Lee, Dae Chul;Lim, Gyoo Gun
    • Asia pacific journal of information systems
    • /
    • v.24 no.2
    • /
    • pp.211-232
    • /
    • 2014
  • Recently, there is a growing interest toward social commerce using SNS(Social Networking Service), and the size of its market is also expanding due to popularization of smart phones, tablet PCs and other smart devices. Accordingly, various studies have been attempted but it is shown that most of the previous studies have been conducted from perspectives of the users. The purpose of this study is to derive user-centered CSF(Critical Success Factor) of social commerce from the previous studies and analyze the CSF perception gap between social commerce service providers and users. The CSF perception gap between two groups shows that there is a difference between ideal images the service providers hope for and the actual image the service users have on social commerce companies. This study provides effective improvement directions for social commerce companies by presenting current business problems and its solution plans. For this, This study selected Korea's representative social commerce business Ticket Monster, which is dominant in sales and staff size together with its excellent funding power through M&A by stock exchange with the US social commerce business Living Social with Amazon.com as a shareholder in August, 2011, as a target group of social commerce service provider. we have gathered questionnaires from both service providers and the users from October 22, 2012 until October 31, 2012 to conduct an empirical analysis. We surveyed 160 service providers of Ticket Monster We also surveyed 160 social commerce users who have experienced in using Ticket Monster service. Out of 320 surveys, 20 questionaries which were unfit or undependable were discarded. Consequently the remaining 300(service provider 150, user 150)were used for this empirical study. The statistics were analyzed using SPSS 12.0. Implications of the empirical analysis result of this study are as follows: First of all, There are order differences in the importance of social commerce CSF between two groups. While service providers regard Price Economic as the most important CSF influencing purchasing intention, the users regard 'Trust' as the most important CSF influencing purchasing intention. This means that the service providers have to utilize the unique strong point of social commerce which make the customers be trusted rathe than just focusing on selling product at a discounted price. It means that service Providers need to enhance effective communication skills by using SNS and play a vital role as a trusted adviser who provides curation services and explains the value of products through information filtering. Also, they need to pay attention to preventing consumer damages from deceptive and false advertising. service providers have to create the detailed reward system in case of a consumer damages caused by above problems. It can make strong ties with customers. Second, both service providers and users tend to consider that social commerce CSF influencing purchasing intention are Price Economic, Utility, Trust, and Word of Mouth Effect. Accordingly, it can be learned that users are expecting the benefit from the aspect of prices and economy when using social commerce, and service providers should be able to suggest the individualized discount benefit through diverse methods using social network service. Looking into it from the aspect of usefulness, service providers are required to get users to be cognizant of time-saving, efficiency, and convenience when they are using social commerce. Therefore, it is necessary to increase the usefulness of social commerce through the introduction of a new management strategy, such as intensification of search engine of the Website, facilitation in payment through shopping basket, and package distribution. Trust, as mentioned before, is the most important variable in consumers' mind, so it should definitely be managed for sustainable management. If the trust in social commerce should fall due to consumers' damage case due to false and puffery advertising forgeries, it could have a negative influence on the image of the social commerce industry in general. Instead of advertising with famous celebrities and using a bombastic amount of money on marketing expenses, the social commerce industry should be able to use the word of mouth effect between users by making use of the social network service, the major marketing method of initial social commerce. The word of mouth effect occurring from consumers' spontaneous self-marketer's duty performance can bring not only reduction effect in advertising cost to a service provider but it can also prepare the basis of discounted price suggestion to consumers; in this context, the word of mouth effect should be managed as the CSF of social commerce. Third, Trade safety was not derived as one of the CSF. Recently, with e-commerce like social commerce and Internet shopping increasing in a variety of methods, the importance of trade safety on the Internet also increases, but in this study result, trade safety wasn't evaluated as CSF of social commerce by both groups. This study judges that it's because both service provider groups and user group are perceiving that there is a reliable PG(Payment Gateway) which acts for e-payment of Internet transaction. Accordingly, it is understood that both two groups feel that social commerce can have a corporate identity by website and differentiation in products and services in sales, but don't feel a big difference by business in case of e-payment system. In other words, trade safety should be perceived as natural, basic universal service. Fourth, it's necessary that service providers should intensify the communication with users by making use of social network service which is the major marketing method of social commerce and should be able to use the word of mouth effect between users. The word of mouth effect occurring from consumers' spontaneous self- marketer's duty performance can bring not only reduction effect in advertising cost to a service provider but it can also prepare the basis of discounted price suggestion to consumers. in this context, it is judged that the word of mouth effect should be managed as CSF of social commerce. In this paper, the characteristics of social commerce are limited as five independent variables, however, if an additional study is proceeded with more various independent variables, more in-depth study results will be derived. In addition, this research targets social commerce service providers and the users, however, in the consideration of the fact that social commerce is a two-sided market, drawing CSF through an analysis of perception gap between social commerce service providers and its advertisement clients would be worth to be dealt with in a follow-up study.

Comparative Analysis of Quantitative Signal Intensity between 1.0 mol and 0.5 mol MR Contrast Agent (1.0 mol 과 0.5 mol MR조영제의 정량적 신호강도 비교분석)

  • Jeong, Hyun Keun;Jeong, Hyun Do;Nam, Ki Chang;Jang, Geun Yeong;Kim, Ho Chul
    • Journal of the Institute of Electronics and Information Engineers
    • /
    • v.52 no.12
    • /
    • pp.134-141
    • /
    • 2015
  • The purpose on this research is quantitatively comparing and analyzing signal intensity of 1.0mol and 0.5mol contrast agent. For this study, two MR phantoms were produced. One of them is used with 1.0mol Gadobutrol. The other is used with 0.5mol Gadoteridol. These two phantoms respectively have been scanned by SE T1 sequence which is used to get a general contrast-enhanced image in 1.5T MRI and 3D FLASH sequence which is used as enhanced angio MRI. Signal intensity was measured by scanned images as per contrast agent dilution ratio. The results were as follow: RSP(Reaction Starting Point) of the two sequences(2D SE, 3D FLASH) was respectively 6.0%, 60.0% in 0.5mol contrast and 2.0%, 20.0% in 1.0mol contrast, which means in 0.5mol contrast, RSP was formed faster than the one in 1.0mol contrast. MPSI was respectively 1358.8[a.u], 1573[a.u] in 0.5mol contrast and 1374[a.u], 1642.4[a.u] in 1.0mol contrast, which means 0.5mol contrast's MPP (0.4%, 10.0%) was formed faster than 1.0mol contrast's MPP (0.16%, 1.8%). Lastly, RA as per contrast agent dilution ratio was 27.4%, 11.8% wider in 0.5mol contrast(20747.4[a.u], 23204.6[a.u]) than in 1.0mol contrast(12691.9[a.u], 20747.4[a.u]). According to the study, we are able to assure that signal reaction time of 1.0mol contrast is slower than the one of 0.5mol contrast in contrast-enhanced MRI at two different sequences(2D SE, 3D FLASH). Furthermore, owing to the fact that there are not any signal intensity differences between 1.0mol and 0.5mol contrast, it is not true that high concentration gadolinium MR contrast agent does not always mean high signal intensity in MRI.

Comparison of Forest Carbon Stocks Estimation Methods Using Forest Type Map and Landsat TM Satellite Imagery (임상도와 Landsat TM 위성영상을 이용한 산림탄소저장량 추정 방법 비교 연구)

  • Kim, Kyoung-Min;Lee, Jung-Bin;Jung, Jaehoon
    • Korean Journal of Remote Sensing
    • /
    • v.31 no.5
    • /
    • pp.449-459
    • /
    • 2015
  • The conventional National Forest Inventory(NFI)-based forest carbon stock estimation method is suitable for national-scale estimation, but is not for regional-scale estimation due to the lack of NFI plots. In this study, for the purpose of regional-scale carbon stock estimation, we created grid-based forest carbon stock maps using spatial ancillary data and two types of up-scaling methods. Chungnam province was chosen to represent the study area and for which the $5^{th}$ NFI (2006~2009) data was collected. The first method (method 1) selects forest type map as ancillary data and uses regression model for forest carbon stock estimation, whereas the second method (method 2) uses satellite imagery and k-Nearest Neighbor(k-NN) algorithm. Additionally, in order to consider uncertainty effects, the final AGB carbon stock maps were generated by performing 200 iterative processes with Monte Carlo simulation. As a result, compared to the NFI-based estimation(21,136,911 tonC), the total carbon stock was over-estimated by method 1(22,948,151 tonC), but was under-estimated by method 2(19,750,315 tonC). In the paired T-test with 186 independent data, the average carbon stock estimation by the NFI-based method was statistically different from method2(p<0.01), but was not different from method1(p>0.01). In particular, by means of Monte Carlo simulation, it was found that the smoothing effect of k-NN algorithm and mis-registration error between NFI plots and satellite image can lead to large uncertainty in carbon stock estimation. Although method 1 was found suitable for carbon stock estimation of forest stands that feature heterogeneous trees in Korea, satellite-based method is still in demand to provide periodic estimates of un-investigated, large forest area. In these respects, future work will focus on spatial and temporal extent of study area and robust carbon stock estimation with various satellite images and estimation methods.