• The Korean Journal of Archival Studies
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• no.63
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• pp.145-165
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• 2020

, in collaboration with Mary Kelly, Kay Hunt and Margaret Harrison, tells the story of workers in the 1970s. Since the late 1960s, the world has undergone many political and social changes, and social movements have been active to protect the socially underprivileged, including women, children and workers. This phenomenon led to the diversification of the collection of the general public, the community, and the minority, and the expansion of the artist's political remarks and themes in the art world. , completed in conjunction with these social issues, surveyed and recorded the reality of workers in a factory in London and produced it as a artwork. is a collaborative work of three artists, a record of workers in the 1970s, and a record of the labor situation, factory, and even the history of the region. Therefore, this study examined the methods and features of , which dealt with the lives of women workers in the 1970s, based on social conditions.

• The Korean Journal of Mycology
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• v.44 no.4
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• pp.220-232
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• 2016

A survey of ectomycorrhizal fungi was performed during 2009-2011 and 2015 in Byeonsanbando National Park. A total of 3,624 individuals were collected, which belonged one division, 1 class, 5 orders, 13 families, 33 genera, 131 species. The majority of the fruiting bodies belonged to orders Agaricales, Russulales, and Boletales, whereas a minority belonged to orders Cantharellales and Thelephorale. In Agaricales, there were 6 families, 9 genera, 49 species, and 1,343 individuals; in Russulales, 1 family, 2 genera, 35 species, and 854 individuals; in Boletales, 4 families, 19 genera, 40 species, and 805 individuals; in Cantharellales, 1 family, 2 genera, 5 species, and 609 individuals; and in Thelephorale, 1 family, 1 genus, 2 species, and 13 individuals. The most frequently observed families were Russulaceae (854 individuals representing 35 species), Boletaceae (652 individuals representing 34 species), and Amanitaceae (754 individuals representing 25 species). The greatest numbers of overall and dominant species and individual fruiting bodies were observed in July. Most species and individuals were observed at altitudes of 1~99 m, and population sizes dropped significantly at altitudes of 300 m and higher. Apparently, the highest diversity of species and individuals occurred at climatic conditions with a mean temperature of $23.0{\sim}25.9^{\circ}C$, maximum temperature of $28.0{\sim}29.9^{\circ}C$, minimum temperature of $21.0{\sim}22.9^{\circ}C$, relative humidity of 77.0~79.9%, and rainfall of 300 mm or more.

• Korean Journal of Materials Research
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• v.23 no.1
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• pp.35-40
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• 2013

In this study, the influence on the surface passivation properties of crystalline silicon according to silicon wafer thickness, and the correlation with a-Si:H/c-Si heterojunction solar cell performances were investigated. The wafers passivated by p(n)-doped a-Si:H layers show poor passivation properties because of the doping elements, such as boron(B) and phosphorous(P), which result in a low minority carrier lifetime (MCLT). A decrease in open circuit voltage ($V_{oc}$) was observed when the wafer thickness was thinned from $170{\mu}m$ to $50{\mu}m$. On the other hand, wafers incorporating intrinsic (i) a-Si:H as a passivation layer showed high quality passivation of a-Si:H/c-Si. The implied $V_{oc}$ of the ITO/p a-Si:H/i a-Si:H/n c-Si wafer/i a-Si:H/n a-Si:H/ITO stacked layers was 0.715 V for $50{\mu}m$ c-Si substrate, and 0.704 V for $170{\mu}m$ c-Si. The $V_{oc}$ in the heterojunction solar cells increased with decreases in the substrate thickness. The high quality passivation property on the c-Si led to an increasing of $V_{oc}$ in the thinner wafer. Short circuit current decreased as the substrate became thinner because of the low optical absorption for long wavelength light. In this paper, we show that high quality passivation of c-Si plays a role in heterojunction solar cells and is important in the development of thinner wafer technology.

• Journal of Service Research and Studies
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• v.5 no.2
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• pp.71-81
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• 2015

The RSA public key encryption algorithm, a few, key generation, factoring, the Euler function, key setup, a joint expression law, the application process are serial indexes. The foundation of such algorithms are mathematical principles. The first concept from mathematics principle is applied from how to obtain a minority. It is to obtain a product of two very large prime numbers, but readily tracking station the original two prime number, the product are used in a very hard principles. If a very large prime numbers p and q to obtain, then the product is the two $n=p{\times}q$ easy station, a method for tracking the number of p and q from n synthesis and it is substantially impossible. The RSA encryption algorithm, the number of digits in order to implement the inverse calculation is difficult mathematical one-way function and uses the integer factorization problem of a large amount. Factoring the concept of the calculation of the mod is difficult to use in addition to the problem in the reverse direction. But the interests of the encryption algorithm implementation usually are focused on introducing the film the first time you use encryption algorithm but we have to know how to go through some process applied to the field work This study presents a field force applied encryption process scheme based on public key algorithms attribute diagnosis.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.17-29
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• 2013

The major aim of this research is to examine the effect of computer and internet literacy and cellular phone possession on depression and suicidal ideation among elderly. This study used data of 2011 national survey results on the elderly life conditions. To determine the effectiveness of computer and internet literacy and cellular phone possession, a total of 6,774 respondents over 60 years of age was selected. The SPSS package was used to analyze the data. Multiple linear regression and logit analysis was run to verify influence of information conditions(computer and internet literacy and cellular phone possession) on depression and suicidal ideation. The results are as follows. First, the elder who is male, younger, has higher education and economic level and lives with spouce is in good information conditions. On the contrary to this, the elder who is female, older, low level of education and economic, single and lives with grandchildren is in information minority group. They have high level of depression and rate of suicidal ideation. Second, computer and internet literacy and cellular phone possession associate with level of depression significantly. Third, computer and internet literacy do not associate with suicidal ideation significantly. The results of this study provide significant source to plan informatization policy and welfare services for socially isolated older people.

• Clinical and Experimental Reproductive Medicine
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• v.34 no.2
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• pp.75-85
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• 2007

Objectives: The aim of this study was to find out the attitude of Korean women towards IVF surrogacy which is not yet regulated by the law. Methods: We evaluated with a questionnaire, in how far IVF surrogacy was accepted in different groups of Korean women. Total 300 questionnaires were sent out to women who visited our infertility clinic, and to the nurses and office workers of our hospital. Among them, 246 questionnaires were returned, and 211 of them (85.7%) were complete and analyzed. The responders were 58 unmarried women and 153 married women including 60 infertile patients. Results: Only 17 (8.1%) women believed that IVF surrogacy was an acceptable treatment for infertile women without uterus (eg. MRKH or hysterectomized patients), and 125 (59.2%) women chose the adoption. There were no significant differences in response amongst different age group, marital status, or in relation to income level or educational level, or infertility status. A significantly higher level of acceptance was noted only in religious groups, especially in Christians. Most of responders (66.5%) chose unrelated and unknown women as a desirable host, and 28.4% of responders chose the sister or sister-in-law. Conclusions: Overall the different groups were critical towards IVF Surrogacy in Korea, irrespective of the infertile patient group. Despite the established clinical ability to have her own genetic child in women without uterus, this survey reveals that only minority supports the IVF surrogacy. So we need the survey with large, randomized population and then make a regulation about the IVF surrogacy in law.

• Clinical and Experimental Reproductive Medicine
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• v.40 no.4
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• pp.169-173
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• 2013

Objective: To measure Irish opinion on a range of assisted human reproduction (AHR) treatments. Methods: A nationally representative sample of Irish adults (n=1,003) were anonymously sampled by telephone survey. Results: Most participants (77%) agreed that any fertility services offered internationally should also be available in Ireland, although only a small minority of the general Irish population had personal familiarity with AHR or infertility. This sample finds substantial agreement (63%) that the Government of Ireland should introduce legislation covering AHR. The range of support for gamete donation in Ireland ranged from 53% to 83%, depending on how donor privacy and disclosure policies are presented. For example, donation where the donor agrees to be contacted by the child born following donation, and anonymous donation where donor privacy is completely protected by law were supported by 68% and 66%, respectively. The least popular (53%) donor gamete treatment type appeared to be donation where the donor consents to be involved in the future life of any child born as a result of donor fertility treatment. Respondents in social class ABC1 (58%), age 18 to 24 (62%), age 25 to 34 (60%), or without children (61%) were more likely to favour this donor treatment policy in our sample. Conclusion: This is the first nationwide assessment of Irish public opinion on the advanced reproductive technologies since 2005. Access to a wide range of AHR treatment was supported by all subgroups studied. Public opinion concerning specific types of AHR treatment varied, yet general support for the need for national AHR legislation was reported by 63% of this national sample. Contemporary views on AHR remain largely consistent with the Commission for Assisted Human Reproduction recommendations from 2005, although further research is needed to clarify exactly how popular opinion on these issues has changed. It appears that legislation allowing for the full range of donation options (and not mandating disclosure of donor identity at a stipulated age) would better align with current Irish public opinion.

• The Journal of Bigdata
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• v.3 no.2
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• pp.71-78
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• 2018

The study is based on machine learning techniques to increase the accuracy of the forest fire predictive model. It used 14 years of data from 2003 to 2016 in Gang-won-do where forest fire were the most frequent. To reduce weather data errors, Gang-won-do was divided into nine areas and weather data from each region was used. However, dividing the forest fire forecast model into nine zones would make a large difference between the date of occurrence and the date of not occurring. Imbalance issues can degrade model performance. To address this, several sampling methods were applied. To increase the accuracy of the model, five indices in the Canadian Frost Fire Weather Index (FWI) were used as derived variable. The modeling method used statistical methods for logistic regression and machine learning methods for random forest and xgboost. The selection criteria for each zone's final model were set in consideration of accuracy, sensitivity and specificity, and the prediction of the nine zones resulted in 80 of the 104 fires that occurred, and 7426 of the 9758 non-fires. Overall accuracy was 76.1%.

• Journal of Internet Computing and Services
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• v.22 no.3
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• pp.75-83
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• 2021

With the development of the IT industry and the increase of cultural activities, the demand for works increases, and they can be used easily and conveniently in an online environment. Accordingly, copyright infringement is seriously occurring due to the ease of copying and distribution of works. Some special types of Online Service Providers (OSP) use filtering-based technology to protect copyrights, but they can easily bypass them, and there are limits to blocking all illegal works, making it increasingly difficult to protect copyrights. Recently, most of the distributors of illegal works are a certain minority, and profits are obtained by distributing illegal works through many OSP and majority ID. In this paper, we propose a profiling technique for heavy uploader, which is a major analysis target based on illegal works. Creates a feature containing information on overall illegal works and identifies major heavy uploader. Among these, clustering technology is used to identify heavy uploader that are presumed to be the same person. In addition, heavy uploaders with high priority can be analyzed through illegal work Distributor tracking and behavior analysis. In the future, it is expected that copyright damage will be minimized by identifying and blocking heavy uploader that distribute a large amount of illegal works.

• Journal of Internet Computing and Services
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• v.23 no.6
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• pp.39-48
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• 2022

Cyberattacks around the world continue to increase, and their damage extends beyond government facilities and affects civilians. These issues emphasized the importance of developing a system that can identify and detect cyber anomalies early. As above, in order to effectively identify cyber anomalies, several studies have been conducted to learn BGP (Border Gateway Protocol) data through a machine learning model and identify them as anomalies. However, BGP data is unbalanced data in which abnormal data is less than normal data. This causes the model to have a learning biased result, reducing the reliability of the result. In addition, there is a limit in that security personnel cannot recognize the cyber situation as a typical result of machine learning in an actual cyber situation. Therefore, in this paper, we investigate BGP (Border Gateway Protocol) that keeps network records around the world and solve the problem of unbalanced data by using SMOTE. After that, assuming a cyber range situation, an autoencoder classifies cyber anomalies and visualizes the classified data. By learning the pattern of normal data, the performance of classifying abnormal data with 92.4% accuracy was derived, and the auxiliary index also showed 90% performance, ensuring reliability of the results. In addition, it is expected to be able to effectively defend against cyber attacks because it is possible to effectively recognize the situation by visualizing the congested cyber space.