• Journal of Christian Education in Korea
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• v.72
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• pp.117-146
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• 2022

The purpose of this study is to understand the faith and life experiences of Christian seniors who hold a doctoral degree and to glean insights for the senior ministry of the church from what they propose based on their wisdom and own experience. To this end, seven participants were purposefully selected based on certain criteria and interviewed. Research findings were presented into three categories: faith, calling and life after retirement, and suggestions for the senior ministry of the church. For the research participants, the mature faith was fear of God and acknowledgement of Lordship of God, revealed through thoughts, words and actions and their agreement. The natural outcome is others may recognize such true godliness embodied in love of neighbors. The call to scholarship was a gift of God, which accompanies responsibilities, The research participants were immersed in meaningful work for the church and the next generation, following their calling even after retirement. The church's ministry for the elderly should start from recognizing resourcefulness of their life and wisdom for sanctification and growth of congregation members across all generations, aim for shaking souls of the elderly for God-pleasing life and eternal inheritance, and be supported by younger generations, online ministry and technology. To ensure that eternal goals, the fulfillment that comes from doing meaningful work, and passion to complete the race without stagnation in all aspects of piety, morality, and intelligence should become the characteristics of the lives of all elderly people, not just the research participants, such preparation should start before retirement by intervention and aid of the church.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.1D
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• pp.157-167
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• 2006

During the first and second NGIS projects by the Korean government, The first one (1995~2000) was limited on constructing geographic information and the second (2001~2005) was focused on circulation and practical use of geoinformation from the result of the first project. In the latter half of 2nd NGIS project, However, the geographic information from the NGIS projects have not been renewed even though there were significant geographical changes. The accurate renewal of geoinformation is a matter of great importance to the next generation industry (e.g. LBS, Ubiquitous, Telematics). In this respect, it is time to update the geographic information in the latter half of the second NGIS project. Therefore, It is not only important to build an accurate geoinformation but also rapid and correct renewal of the geoinformation. NGII (National Geographic Information Institute) has been studying for improvement of digital map that was constructed by the result of the 1st NGIS project. Through the construction of clean digital map, NGII constructed Framework Data to three kinds of formats (NGI, NDA, NRL). Framework Data was contained to other database, and provided the reference system of location or contents for combining geoinformation. Framework Data is consist of Data Set, Data Model and UFID (Unique Feature Identifier). It will be achieved as national infrastructure data. This paper attempts to explore a method of the update to practical framework data with realtime geoinformation on feature's creation, modification and destruction managed by 'Feature management agency' using UFID's process. Furthermore, it suggests a method which can provide important data in order to plan the Framework update with the land change ratio.

• 한국노년학
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• v.31 no.2
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• pp.321-341
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• 2011

The purpose of this study is to examine income composition elements, poverty rate, and the effects of the transfer income on poverty decrease comparing grandparents-grandchildren households with living alone, couple, and living with adulthood children. Data come from the first(2005) and the second(2007) Korean Retirement and Income Study(KReIS) and the effects of poverty decrease is examined through reconstruction of LIS income definition. The main findings are as follows. First, the total income of the grandparents-grandchildren in 2006 is the lowest and about one-fourth of the households living with adulthood children. Second, the labor income of all households are increasing but the only grandparents-grandchildren's labor income is decreasing. Third, three of ten in grandparents- grandchildren households are in poverty, the poorest households's type is the grandparents-grandchildren in 2006. Fourth, four of ten in grandparents-grandchildren is able to escape poverty after including private and public transfer income. Especially, the effects of the public transfer income in grandparents-grandchildren households is lower in 2006 than in 2004, thus the role of public income security is strongly needed. Existing research was that the poorest type among the elderly group was the living-alone households, but this results show that grandparents -grandchildren households are the poorest group. Thus, income security policy is highly needed for poor skipped-generation households.

• SUVANNABHUMI
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• v.6 no.1
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• pp.107-135
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• 2014

Cham identities which are socially constructed and multilayered, display their markers in a variety of elements, including homeland attachment to the former Kingdom of Champa, religion, language and cultural traditions, to mention a few. However, unlike other contemporary diasporic experience which binds the homeland and the host country, the Cham diaspora in Cambodia has a unique pattern as it seems to have no voice in the political and economic spheres in Vietnam, its homeland. The relations between the Cham in Cambodia and Vietnam seem to be limited to cultural heritages such as Cham musical traditions, traditional clothing, and the architectural heritage. Many Cham people have established networks outside Cambodia with areas of the Muslim world, like Malaysia, Indonesia, southern Thailand and the Middle Eastern countries. Pursuing education or training in Islam as well as working in those countries, especially Malaysia has become a way for the Cham to widen their networks and increase their knowledge of particularly, Islam. Returning to Cambodia, these people become religious teachers or ustadz (Islamic teachers in the pondok [Islamic boarding school]). This has developed slowly, side by side with the formation of their identity as Cham Muslims. Among certain Cham, the absence of an ancient cultural heritage as an identity marker has been replaced by the Islamic culture as the important element of identity. However, being Cham is not a single identity, it is fluid and contested. Many scholars argue that the Cham in Cambodia constitute three groups: the Cham Chvea, Cham, and Cham Bani (Cham Jahed). The so-called Cham Jahed has a unique practice of Islam. Unlike other Cham who pray five times a day, Cham Jahed people pray, once a week, on Fridays. They also have a different ritual for the wedding ceremony which they regard as the authentic tradition of the Cham. Indeed, they consider themselves pure descendants of the Cham in Vietnam; retaining Cham traditions and tending to maintain their relationship with their fellow Cham in Central Vietnam. In terms of language, another marker of identity, the Cham and the Cham Jahed share the same language, but Cham Jahed preserve the written Cham script more often than the Cham. Besides, the Cham Jahed teaches the language to the young generation intensively. This paper, based on fieldwork in Cambodia in 2010 and 2011 will focus on the process of the formation of the Cham identity, especially of those called Cham and Cham Jahed.

• Journal of Internet of Things and Convergence
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• v.9 no.6
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• pp.93-98
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• 2023

In paddy rice farming, water management is a critical task. To suppress weed emergence during the early stages of growth, fields are deeply flooded, and after transplantation, the water level is reduced to promote rooting and stimulate stem generation. Later, water is drained to prevent the production of sterile tillers. The adequacy of water supply is influenced by various factors such as field location, irrigation channels, soil conditions, and weather, requiring farmers to frequently check water levels and control the ingress and egress of water. This effort increases if the fields are scattered in remote locations. Automated irrigation systems have been considered to reduce labor and improve productivity. However, the net income from rice production in 2022 was about KRW 320,000/10a on average, making it financially unfeasible to implement high-cost devices or construct new infrastructure. This study focused on developing an IoT-Based irrigation valve that can be easily integrated into existing agricultural infrastructure without additional construction. The research was carried out in three main areas: Firstly, an irrigation valve was designed for quick and easy installation on existing agricultural pipes. Secondly, a power circuit was developed to connect a low-power Cat M1 communication modem with an Arduino Nano board for remote operation. Thirdly, a cloud-based platform was used to set up a server and database environment and create a web interface that users can easily access.

• Journal of the Institute of Convergence Signal Processing
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• v.24 no.3
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• pp.160-165
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• 2023

In this study, we propose an SNS sentence writing assistance system that utilizes YOLO and GPT to assist users in writing texts with images, such as SNS. We utilize the YOLO model to extract objects from images inserted during writing, and also extract meta-information such as GPS information and creation time information, and use them as prompt values for GPT. To use the YOLO model, we trained it on form image data, and the mAP score of the model is about 0.25 on average. GPT was trained on 1,000 blog text data with the topic of 'restaurant reviews', and the model trained in this study was used to generate sentences with two types of keywords extracted from the images. A survey was conducted to evaluate the practicality of the generated sentences, and a closed-ended survey was conducted to clearly analyze the survey results. There were three evaluation items for the questionnaire by providing the inserted image and keyword sentences. The results showed that the keywords in the images generated meaningful sentences. Through this study, we found that the accuracy of image-based sentence generation depends on the relationship between image keywords and GPT learning contents.

• Journal of Drive and Control
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• v.20 no.4
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• pp.115-122
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• 2023

This study utilized a discrete element method (DEM) simulation, as one of the virtual field trials, to predict the impact of tillage depth on the rotary blade shaft during rotavator tilling. The virtual field for the simulation was generated according to soil properties observed in an actual field. Following the generation of particles for the virtual field, a sequence of calibration steps followed to align the mechanical properties more closely with those of real soil. Calibration was conducted with a focus on bulk density and shear torque, resulting in calibration errors of just 0.02% for bulk density and 0.52% for shear torque. The prediction of the load on a rotary tiller's blade shaft involved a three-pronged approach, considering shaft torque, draft force, and vertical force. In terms of shaft torque, the values exhibited significant increases of 42.34% and 36.91% for every 5-centimeter increment in tillage depth. Similarly, the vertical force saw substantial growth by 40.41% and 36.08% for every 5-centimeter increment. In contrast, the variation in draft force based on tillage depth was comparatively lower at 18.49% and 0.96%, indicating that the effect of tillage depth on draft force was less pronounced than its impact on shaft torque and vertical force. From a perspective of agricultural machinery research, this study provides valuable insights into the DEM soil modeling process, accounting for changes in soil properties with varying tillage depths. These findings are expected to be instrumental in future agricultural machinery design studies.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.517-524
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• 2024

This study aims to train and implement a deep learning model for the fusion of website creation and artificial intelligence, in the era known as the AI revolution following the launch of the ChatGPT service. The deep learning model was trained using 3,000 collected web page images, processed based on a system of component and layout classification. This process was divided into three stages. First, prior research on AI models was reviewed to select the most appropriate algorithm for the model we intended to implement. Second, suitable web page and paragraph images were collected, categorized, and processed. Third, the deep learning model was trained, and a serving interface was integrated to verify the actual outcomes of the model. This implemented model will be used to detect multiple paragraphs on a web page, analyzing the number of lines, elements, and features in each paragraph, and deriving meaningful data based on the classification system. This process is expected to evolve, enabling more precise analysis of web pages. Furthermore, it is anticipated that the development of precise analysis techniques will lay the groundwork for research into AI's capability to automatically generate perfect web pages.

• Korean Journal of Clinical Laboratory Science
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• v.55 no.4
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• pp.235-243
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• 2023

As next-generation sequencing has been developed and used widely, RNA-sequencing (RNA-seq) has rapidly emerged as the first choice of tools to validate global transcriptome profiling. With the significant advances in RNA-seq, various types of RNA-seq have evolved in conjunction with the progress in bioinformatic tools. On the other hand, it is difficult to interpret the complex data underlying the biological meaning without a general understanding of the types of RNA-seq and bioinformatic approaches. In this regard, this paper discusses the two main sections of RNA-seq. First, two major variants of RNA-seq are described and compared with the standard RNA-seq. This provides insights into which RNA-seq method is most appropriate for their research. Second, the most widely used RNA-seq data analyses are discussed: (1) exploratory data analysis and (2) pathway enrichment analysis. This paper introduces the most widely used exploratory data analysis for RNA-seq, such as principal component analysis, heatmap, and volcano plot, which can provide the overall trends in the dataset. The pathway enrichment analysis section introduces three generations of pathway enrichment analysis and how they generate enriched pathways with the RNA-seq dataset.

• Journal of the Korean Society of Radiology
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• v.18 no.1
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• pp.37-44
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• 2024

Even though MR can reveal excellent soft-tissue contrast and functional information, CT is also required for electron density information for accurate dose calculation in Radiotherapy. For the fusion of MRI and CT images in RT treatment planning workflow, patients are normally scanned on both MRI and CT imaging modalities. Recently deep-learning-based generations of CT images from MR images became possible owing to machine learning technology. This eliminated CT scanning work. This study implemented a CycleGan deep-learning-based CT image generation from MR images. Three CT generators whose learning is based on T1- , T2- , or T1-&T2-weighted MR images were created, respectively. We found that the T1-weighted MR image-based generator can generate better than other CT generators when T1-weighted MR images are input. In contrast, a T2-weighted MR image-based generator can generate better than other CT generators do when T2-weighted MR images are input. The results say that the CT generator from MR images is just outside the practical clinics and the specific weight MR image-based machine-learning generator can generate better CT images than other sequence MR image-based generators do.