• Journal of the Korean Society for information Management
• /
• v.30 no.4
• /
• pp.265-281
• /
• 2013

The early history of foreign Protestant missionaries in Korea has begun in the late 19th century, when they came to work as professionals such as teachers, medical doctors, etc. as the nation opened its door to western culture with the fall of national isolationism. Their records are considered crucial resources that enable us to shed new light on modern Korean history, politics, economy and society beyond mere religious value. Despite the recognition of such historic value of early missionary resources, however, there has been serious lacking of a systematic attempt to develop policies and plans for making it easy to collect, preserve and access the resources. Up to date, the records of early Protestant missionaries, in diverse forms of mission reports, books, periodicals, personal diaries, letters and photos, are scattered around various places, including their home country churches, governments, libraries, museums, research institutes and homes. Therefore, this research aims at providing basic resources on the archival status of early Protestant missionaries in Korea, needed for developing a sustainable and systematic digital archive system, through the investigation of early foreign missionaries' resources and in-depth interviews of experts. The study covers the period of 1800s to 1910, that is from the beginning of Protestant missionaries entering into Korea until the start of the Japanese annexation in 1910.

• Health Policy and Management
• /
• v.25 no.2
• /
• pp.71-79
• /
• 2015

With the growth of aging population in Korea, a better care of chronic and other degenerative illnesses is urgently needed. Evidences suggest that this can be achieved through incorporating a wide range of care options, expanding beyond medical interventions. The aim of this study is to analyze the distribution of publically funded research to understand if the Korean research and development funding system matches various approaches and purposes to successfully tackle the chronic care needs of an aging society. We complied the list of funded projects to be analyzed by searching the National Technical Information Service database with key words such as aging society/senescence, chronic diseases, disability, and health promotion. Most projects were based on the biomedical approach with the purpose of establishing the etiology and clinical (treatment) interventions. Health promotion projects showed a distinctive distribution with more percentage of projects based on psycho-behavioral approaches while research on chronic diseases predominantly biomedical. It would be necessary to diversify publically-funded research projects to develop effective and efficient care technologies for the future.

• Korean Journal of Clinical Laboratory Science
• /
• v.52 no.1
• /
• pp.1-17
• /
• 2020

Three-dimensional microscopic approaches in histopathology display multiplex properties that present puzzling questions for specimens as related to their comprehensive volumetric information. This information includes spatial distribution of molecules, three-dimensional co-localization, structural formation and whole data set that cannot be determined by two-dimensional section slides due to the inevitable loss of spatial information. Advancement of optical instruments such as two-photon microscopy and high performance objectives with motorized correction collars have narrowed the gap between optical theories and the actual reality of deep tissue imaging. However, the benefits gained by a prolonged working distance, two-photon laser and optimized beam alignment are inevitably diminished because of the light scattering phenomenon that is deeply related to the refractive index mismatch between each cellular component and the surrounding medium. From the first approaches with simple crude refractive index matching techniques to the recent cutting-edge integrated tissue clearing methods, an achievement of transparency without morphological denaturation and eradication of natural and fixation-induced nonspecific autofluorescence out of real signal are key factors to determine the perfection of tissue clearing and the immunofluorescent staining for high contrast images. When performing integrated laboratory workflow of tissue for processing frozen and formalin-fixed tissues, clear lipid-exchanged acrylamide-hybridized rigid imaging/immunostaining/in situ hybridization-compatible tissue hydrogel (CLARITY), an equipment-based tissue clearing method, is compatible with routine procedures in a histopathology laboratory.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.50 no.11
• /
• pp.3-11
• /
• 2013

In smart healthcare service, the accurate and prompt emergency detection and notification are very critical to patients' lives. Since these detection and notification of emergency situation are usually performed by the medical staffs, it is difficult to simultaneously support many patients in real-time. This article presents a methodology for emergency bio-data transmission for smart healthcare using personalized emergency policy. It consists of three steps: In step 1, the bio-data is collected by wireless body area network. In step 2, the decision on emergency is made using personalized emergency policy. In step 3, the emergency message including the health condition information is converted between IEEE 11073 PHD message and HL7 CDA. By doing this, the emergency status of the individual bio-data collected from wireless body area network is detected automatically using personalized emergency policy. When the emergency is detected, the quick emergency rescue service can be provided to the patient by delivering to the emergency notification and the emergency bio-data. We have verified the service and functions of the proposed system architecture by realizing it.

• 재활복지
• /
• v.20 no.1
• /
• pp.131-150
• /
• 2016

This study aims to compare global policies on ICT accessibility and to suggest possible solutions that help to enhance ICT accessibility for socially disadvantaged groups. The results indicated that related laws and standards in Korea are relatively well established than Asian countries' whereas they need improvements when compared to the US or the UK. Particularly, in spite of rapid development in information communication technology industry, incorporating the definition of newly developed technologies into existing laws related to ICT accessibility seemed slow that caused reluctancy of related parties to address accessibility issues the new technologies create. In addition, Korean government seems less effortful to develop policies and standards apart from web and mobile application accessibility. In order to resolve the problems, firstly, the period or process of enacting and amending laws can be shorten. Next, a government affiliated research institute can be established to do research and develop ICT accessibility related to user scenarios so that effective policies and standards could be readily provided. Even though other possible solutions can be suggested, what is more important than that is that any interested parties should sustainably make efforts to provide equal opportunities for the underserved populations.

• Journal of Intelligence and Information Systems
• /
• v.29 no.4
• /
• pp.165-184
• /
• 2023

Recently, Deep learning analysis of unstructured text data using language models, such as Google's BERT and OpenAI's GPT has shown remarkable results in various applications. Most language models are used to learn generalized linguistic information from pre-training data and then update their weights for downstream tasks through a fine-tuning process. However, some concerns have been raised that privacy may be violated in the process of using these language models, i.e., data privacy may be violated when data owner provides large amounts of data to the model owner to perform fine-tuning of the language model. Conversely, when the model owner discloses the entire model to the data owner, the structure and weights of the model are disclosed, which may violate the privacy of the model. The concept of offsite tuning has been recently proposed to perform fine-tuning of language models while protecting privacy in such situations. But the study has a limitation that it does not provide a concrete way to apply the proposed methodology to text classification models. In this study, we propose a concrete method to apply offsite tuning with an additional classifier to protect the privacy of the model and data when performing multi-classification fine-tuning on Korean documents. To evaluate the performance of the proposed methodology, we conducted experiments on about 200,000 Korean documents from five major fields, ICT, electrical, electronic, mechanical, and medical, provided by AIHub, and found that the proposed plug-in model outperforms the zero-shot model and the offsite model in terms of classification accuracy.

• KIISE Transactions on Computing Practices
• /
• v.23 no.6
• /
• pp.371-378
• /
• 2017

In modern society, awareness of diabetes is growing with an increase in the elderly population and an increase in the incidence of diabetes. In particular, diabetic patients can suddenly develop hypoglycemic shock; therefore, it is important to measure blood glucose periodically. However, self-monitoring blood glucose meters are difficult to carry and it is difficult to manage the value. To solve these problems, the blood glucose measurement system has been developed as a sensor attached to the body or as one of the functions of smart devices, but it has not been commercialized. In this paper, we propose a smart band with a blood glucose measurement function. If a user enters a schedule to measure blood glucose level, such as before/after meals, in the app, he/she can receive a measurement alarm from the band. The user can measure the blood glucose level at any time using the band, and the measured value is transmitted and managed by the app including behavior history such as before/after meals and the time. This will help the user to manage, diagnose and prevent health problems. The system has been tested using two medical device-certified products, and each blood glucose measurement value has been confirmed to be more accurate.

• Current Optics and Photonics
• /
• v.4 no.1
• /
• pp.31-43
• /
• 2020

The feasibility of the application of terahertz electromagnetic waves in the diagnosis of prostate cancer was examined. Four samples of incomplete cancerous prostatic paraffin-embedded tissues were examined using terahertz spectral imaging (TPI) system and the results obtained by comparing the absorption coefficient and refractive index of prostate tumor, normal prostate tissue and smooth muscle from one of the paraffin tissue masses examined were reported. Three hundred and sixty cases of absorption coefficients from one of the paraffin tissues examined were used as raw data to classify these three tissues using the Principal Component Analysis (PCA) and Least Squares Support Vector Machine (LS-SVM). An excellent classification with an accuracy of 92.22% in the prediction set was achieved. Using the distribution information of THz reflection signal intensity from sample surface and absorption coefficient of the sample, an attempt was made to use the TPI system to identify the boundaries of the different tissues involved (prostate tumors, normal and smooth muscles). The location of three identified regions in the terahertz images (frequency domain slice absorption coefficient imaging, 1.2 THz) were compared with those obtained from the histopathologic examination. The tissue tumor region had a distinctively visible color and could well be distinguished from other tissue regions in terahertz images. Results indicate that a THz spectroscopy imaging system can be efficiently used in conjunction with the proposed advanced computer-based mathematical analysis method to identify tumor regions in the paraffin tissue mass of prostate cancer.

• Journal of Agricultural Extension & Community Development
• /
• v.19 no.4
• /
• pp.773-798
• /
• 2012

The study present the findings divide into brand naming, image, positioning. The farms built trust by consumer relationship with the farm brand. The results of the study provide insights for agricultural marketers who intend to design brand stories that align with their produce. This study is a regional case study of the factor analysis which explain residents' satisfaction of the efficient rural development projects under the Block Grants System in Buyeo. This study attempted to proceed the empirical survey of 353 residents who live in one 'town(eup)' and 13 'village(meon)' in Buyeo-gun and analyzed through SPSSWIN. The results of the satisfaction analysis in the local development projects satisfied with the overall average 3.16 and then empirically verified the important factors of the 'cultural and leisure activities', 'learning environment', 'jobs and working conditions', 'transportation'. The factor analysis of 12 variables united into three factors, the first Factors are 'transportation', 'learning environment', 'social welfare', 'cultural and leisure activities', 'Information and Communication', 'Health and Medical Services'. The second factors are 'crimes and accidents', 'environmental management', 'neighbor relations and social participation', and the third factors united into 'income and consumption activities', 'job creation' which imply the economic variables, and 'residential environment' as the common category.

• Journal of the Institute of Electronics Engineers of Korea SC
• /
• v.48 no.2
• /
• pp.64-70
• /
• 2011

Portable artificial electronic nose (E-nose) system suffers from noisy fluctuation in surroundings such as temperature, vapor concentration, and gas flow, because its measuring condition is not controled precisely as in the laboratory. It is important to develop a simple and robust vapor recognition technique applicable to this uncontrolled measurement, especially for the portable measuring and diagnostic system which are expanding its area with the improvements in micro bio sensor technology. This study used a PDA-based portable E-nose to collect the uncontrolled vapor measurement signals, and applied the image matching algorithm developed in the previous study on the measured signal to verify its robustness and improved accuracy in portable vapor recognition. The results showed not only its consistent performance under noisy fluctuation in the portable measurement signal, but also an advanced recognition accuracy for 2 similar vapor species which have been hard to discriminate with the conventional maximum sensitivity feature extraction method. The proposed method can be easily applied to the data processing of the ubiquitous sensor network (USN) which are usually exposed to various operating conditions. Furthermore, it will greatly help to realize portable medical diagnostic and environment monitoring system with its robust performance and high accuracy.