Journal of the Korean Association of Geographic Information Studies
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v.24
no.4
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pp.184-193
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2021
The system for managing spatial data updates the existing information by extracting only the information that is different from the existing information for the newly obtained spatial information file to update the stored information. In order to extract only objects that have changed from existing information, it is necessary to compare whether there is any difference from existing information for all objects included in the newly obtained spatial information file. This study was conducted to improve this total inspection method in a situation where the amount of spatial information that is frequently updated increases and data update is required at the national level. In this study, before inspecting individual objects in a new acquisition space information file, a method of determining whether individual space objects have been changed only by the information in the file was considered. Spatial data files have structured data characteristics different from general image or text document files, so it is possible to determine whether to change the file unit in a simpler way compared to the existing method of creating and managing file hash. By reducing the number of target files that require full inspection, it is expected to improve the use of resources in the system by saving the overall data quality inspection time and saving data extraction time.
Although the rapid development of technology has led to a swift increase in the number of companies using social networking services (SNS), it will not be accurate to say that they have fully "utilized" the functionality of SNS simply by "using" these services. Therefore, this study aims to increase the convenience of using digital technology and help SNS users in extending the functionality of these services beyond their regular use and thus, revitalize the field by increasing the service providers' efficiency. In this study, the Facebook usage status of a graduate school newspaper from an undisclosed university in Seoul was analyzed from February to December, 2021 using the participant observation method. The results of the study revealed the following: First, it is necessary to diversify the subject and type of content to ensure a continuous supply of quality content; Second, there is a need to examine the user categories and characteristics by utilizing SNS functionalities such as, the target reports and insights, and based on this, supply content that meets the needs of the users; Third, to resolve the problem of low levels of user participation and an inactive Facebook account, it is necessary to mobilize new marketing tools like online events. The significance of this study is that it confronts the real problems faced by some companies that cannot keep pace with market changes in a digital environment, identifies failure factors, and proposes solutions to them.
Journal of the Korea Academia-Industrial cooperation Society
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v.22
no.4
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pp.621-628
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2021
This paper proposes a method to calibrate a thermal camera with three different perspectives. In particular, the intrinsic parameters of the camera and re-projection errors were provided to quantify the accuracy of the calibration result. Three lenses of the camera capture the same image, but they are not overlapped, and the image resolution is worse than the one captured by the RGB camera. In computer vision, camera calibration is one of the most important and fundamental tasks to calculate the distance between camera (s) and a target object or the three-dimensional (3D) coordinates of a point in a 3D object. Once calibration is complete, the intrinsic and the extrinsic parameters of the camera(s) are provided. The intrinsic parameters are composed of the focal length, skewness factor, and principal points, and the extrinsic parameters are composed of the relative rotation and translation of the camera(s). This study estimated the intrinsic parameters of thermal cameras that have three lenses of different perspectives. In particular, image enhancement based on a deep learning algorithm was carried out to improve the quality of the calibration results. Experimental results are provided to substantiate the proposed method.
Inclusive business is a social business that is promoted with the aim of supporting the economic independence and quality of life of poor people in developing countries. Inclusive business is emerging as a new development cooperation method that can lead to development effects such as income generation and economic independence by engaging the poor, traditionally recognized as 'the target of aid' in terms of development cooperation, in market-based economic activities. This study considered how this inclusive business overcomes various barriers in the market for the poor in developing countries and generates social values and economic returns. To this end, based on previous studies, an analytical framework was established to analyze inclusive business models and business types. And based on the multiple case study method, 17 cases of inclusive business of social enterprises were selected to analyze the characteristics of their business models and the types of business. Through this study, characteristics of value proposition mechanisms, value creation mechanisms, and value securing mechanisms of inclusive business based on public-private cooperation were derived. Also, how these inclusive businesses create social and economic values for the poor were analyzed. The findings present theoretical and practical implications for an inclusive business model.
Objectives: Asthma is a chronic disease, and the demand for herbal medicines in this field has increased in recent years. The new findings highlight the role of the gut-lung axis in the pathophysiology of asthma. Hence, this study will evaluate the safety and efficacy of Glasthma syrup, an herbal formula based on Persian medicine, in improving asthma and regulating intestinal permeability. The formula consists of five herbal ingredients that have anti-inflammatory effects on the respiratory tract, also known as gut tonics. Methods: The study will be conducted as a placebo-controlled, triple-blind, randomized trial. It will consist of a 4-week intervention followed by a 4-week follow-up period. The target sample size is 20 patients with moderate asthma aged 18 to 60 years. Eligible participants will be randomly assigned to either the experimental group or the control group in equal numbers. Patients in the experimental group will take Glasthma syrup (7.5 mL, twice a day), while patients in the control group will take a matching placebo. Both groups will receive a 4-week combination of a long-acting beta2 agonist and a leukotriene modulator as standard of care. Inhaled corticosteroids can be used as rescue medication as needed. Results: The primary outcomes are asthma symptom scale, lung function, and intestinal permeability. Secondary outcomes include quality of life, symptom recurrence rates, and blood tests. A safety assessment will also be conducted during the trial. Conclusion: In this trial, the effects of Glasthma syrup in patients with moderate asthma will be examined. The study will also assess the effects of the formulation on the gut-lung axis by simultaneously monitoring the gut permeability index, asthma symptoms, and lung function.
In Korea, which is mostly mountainous, the proportion of tunnel and underground space development are increasing. Although the ground is reinforced by applying the ground improvement method during underground space development, accidents still occur frequently in Korea. In the grouting method, a representative ground reinforcement method, the effect was judged by comparing the total amount of injection material with the amount of injection material used during the actual grouting construction. However, it is difficult to determine whether the ground reinforcement is properly performed during construction or within the target ground. In order to solve this problem, it is necessary to study a new method for quality control during or after construction by measuring electrical resistivity after performing grouting by mixing carbon fiber, which is a conductive material, and microcement, which is a grout material. In this study, as a basic study, a cement specimen mix ed with 0%, 3%, 5%, 7% of carbon fiber was prepared to evaluate the performance of the grout material mixed with carbon fiber, which is a conductive material. The prepared specimens were wet curing for 3 days, 7 days, and 28 days under 99% humidity, and then compression wave velocity and shear wave velocity were measured. As a result of the compression wave velocity and shear wave velocity measurement, it showed a tendency to increase with the increase in the compounding ratio of carbon fibers and the number of days of age, and it was confirmed that the elastic modulus and shear modulus, which are the stiffness of the material, also increased.
Journal of Korea Society of Industrial Information Systems
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v.27
no.4
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pp.19-27
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2022
In general, the performance of ML(Machine Learning) application is determined by various factors such as the type of ML model, the size of model (number of parameters), hyperparameters setting during the training, and training data. In particular, the recognition accuracy of ML may be deteriorated or experienced overfitting problem if the amount of dada used for training is insufficient. Existing studies focusing on image recognition have widely used open datasets for training and evaluating the proposed ML models. However, for specific applications where the sensor used, the target of recognition, and the recognition situation are different, it is necessary to build the dataset manually. In this case, the performance of ML largely depends on the quantity and quality of the data. In this paper, training data used for motion recognition application is augmented using the kernel density estimation algorithm which is a type of non-parametric estimation method. We then compare and analyze the recognition accuracy of a ML application by varying the number of original data, kernel types and augmentation rate used for data augmentation. Finally experimental results show that the recognition accuracy is improved by up to 14.31% when using the narrow bandwidth Tophat kernel.
Recently, two main changes were observed in relation to activities of District Health Centers. One is the rapid increase in the quantity and variety of people's demands for health services due to improvement of income level and the other is an introduction of autonomy in local administration. Unitl recently, the District Health Services were mostly depended on the instructions and orders given by Central Governments, and it would be necessary to prepare for the future implementation of autonomous local administration. Especially, the urban health centers may need more attention than those in rural areas because of their complexity and it would be more difficult in choosing and implementing a most suitable health programs for urban communities. This study was made to find out a feasibl developmental model which could be applicable for the urban bealth centers in Kyeongnam- do area. The most studies relating to health centers activities in the past were made by saking questions to current health center workers, but this study has made an effort to find out the opinions of those who are representing the people in the community. For this study, therefore, the Members of Gity Parliament and Village Headmen from 10 cities is Kyeongnam- do were interviewed for the study and the results obtained were compared to those of health officers. It was found that both Parliament Members and Village Headmen were well aware of the need of health centers, however, they tend to put lower priority for health services in compare with other community activities, and pointed out poor quality of services and lack of public understanding as the problems to be overcome. As to the desirable body for policy decision and implementation of health programs, the Members of Local Parliament think the Local Parliament as ideal, where as Village Headmen prefer health experts, and health officenr prefer District Health Center respectively. The most urgent problems of the District health Centers are mentioned as lack of health manpower. As the results of his study, the followings are suggested for improvement of District Health Services; First : reinforcement of professional health workers, Second : establishment of Community Health Council, Third : strengthening of public health education and support, Fourth : flexibility in Local Autonomy and target system relating to health activities.
Objectives : Due to the morphological similarity and frequent occurrence of intermediate forms as well as morphological variations of aerial part, the correct identification between Rhei Radix et Rhizoma and Rhei Undulatai Rhizoma is very difficult. To develop a reliable method for correct identification and improving the quality standards of Rhei Radix et Rhizoma and Rhei Undulatai Rhizoma, we analyzed RAPD and developed SCAR marker. Methods : To amplify target DNA at the genomic level, 32 Operon 10-mer random primers were applied with four Rheum species, R. officinale, R. palmatum, R. tanguticum and R. undulatum. The nucleotide sequences were determined and species-specific primers were prepared depending on the species-specific RAPD amplicons after subcloned into the pGEM-Teasy vector. To develop the SCAR markers, species-specific PCR amplification and multiplex-PCR were carried out using the single species-specific primer pairs and combinations of them, respectively. Results : We used RAPD analysis of four Rheum plant species to obtain several species-specific RAPD amplicons. From nucleotide sequences of these RAPD amplicons, we developed two SCAR markers that amplified 314 bp and 390 bp DNA fragments in only R. undulatum but not in R. officinale, R. palmatum, R. tanguticum and R. undulatum, for distinguishing Rhei Undulatai Rhizoma and Rhei Radix et Rhizoma. Furthermore, we established SCAR markers for the simultaneous discrimination of the three species within a single reaction by using multiplex-PCR. Conclusions : These genetic markers can be used for the efficient discrimination of plants species and commercial herbal medicines between Rhei Undulatai Rhizoma and Rhei Radix et Rhizoma, to ultimately prevent indiscriminate distribution and prescription of these herbal medicines.
Objective: Loin muscle area (LMA) is an important target trait of pig breeding. This study aimed to identify single nucleotide polymorphisms (SNPs) and genes associated with LMA in the Duroc×(Landrace×Yorkshire) crossbred pigs (DLY). Methods: A genome-wide association study was performed using the Illumina 50K chip to map the genetic marker and genes associated with LMA in 511 DLY pigs (255 boars and 256 sows). Results: After quality control, we detected 35,426 SNPs, including six SNPs significantly associated with LMA in pigs, with MARC0094338 and ASGA0072817 being the two key SNPs responsible for 1.77% and 2.48% of the phenotypic variance of LMA, respectively. Based on previous research, we determined two candidate genes (growth hormone receptor [GHR] and 3-oxoacid Co A-transferase 1 [OXCT1]) that are associated with fat deposition and muscle growth and found further additional genes (MYOCD, ARHGAP44, ELAC2, MAP2K4, FBXO4, FBLL1, RARS1, SLIT3, and RANK3) that are presumed to have an effect on LMA. Conclusion: This study contributes to the identification of the mutation that underlies quantitative trait loci associated with LMA and to future pig breeding programs based on marker-assisted selection. Further studies are needed to elucidate the role of the identified candidate genes in the physiological processes involved in LMA regulation.
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