In the era of the 4th industrial revolution, smart factories have received great attention, where production and manufacturing technology and ICT converge. With the development of IoT technology and big data, automation of production systems has become possible. In the advanced manufacturing industry, production systems are subject to unscheduled performance degradation and downtime, and there is a demand to reduce safety risks by detecting and reparing potential errors as soon as possible. This study designs a model based on supervised and unsupervised learning for detecting anomalies. The accuracy of XGBoost, LightGBM, and CNN models was compared as a supervised learning analysis method. Through the evaluation index based on the confusion matrix, it was confirmed that LightGBM is most predictive (97%). In addition, as an unsupervised learning analysis method, MD, AE, and LSTM-AE models were constructed. Comparing three unsupervised learning analysis methods, the LSTM-AE model detected 75% of anomalies and showed the best performance. This study aims to contribute to the advancement of the smart factory by combining supervised and unsupervised learning techniques to accurately diagnose equipment failures and predict when abnormal situations occur, thereby laying the foundation for preemptive responses to abnormal situations. do.
The Journal of the Convergence on Culture Technology
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v.7
no.1
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pp.58-65
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2021
Jewelry Object to adorn a body with has been a very important culture since the primitive age when history of human beings started. Ornaments for social status or wealth's symbolic icon otherwise for private embellishment have been developed with various properties such as decorative, monetary, scarce, historic ones. However, since the latter 20th century, when intellecture concept was more valuable than the tradition laying emphasis on preciousness, with counting of artistic activities and aesthetic values, they have had expressionistic tendency centered on artists. In this manner, modern ornaments have been developed as an artistic genre deviating from traditional way in which material or technology was emphasized. While this expressionistic tendency emphasized artistic value, galleries only for ornaments have been started since 1960s and especially from this period, a lot of experimental and revolutionary ornaments works deviating from traditional way have been exhibited. The appearance of galleries specialized in ornaments as described above had a great influence on the ornaments' development to an artistic genre. This study is the one in respect of two exhibition types through the combination of human body and clothes in displaying ornaments. The first one represents active displaying way for the communication with audience by introducing fashion show to galleries deviating from general exhibition way. The second one plans to run a project collaborating fashion brand for the communication between ornaments and clothes and represents displaying way in the shop of fashion brand for active exhibition publicity.
This paper is examining the ideological underpinnings of Park Jin-young[朴震英]. He was intellectual activity is based on Haman[咸安] Gyeongsang-namdo[慶尙南道]. And He was causing the Righteous Army[義兵] saved the country from the crisis of Imjin War[壬辰倭亂, 1592~1598] and the Byongja War[丙子胡亂, 1636~1637] in Mid-Joseon[朝鮮] Dynasty. Therefore, he had to practice patriotism and love people. The purpose of this paper is centered on the acts of Park Jin-young to focus on its ideological foundation to be sure. A cause[大義名分] was laying on the side and the real meaning of the terms of participation and his a far-sighted view [達觀] ever conduct of life[處世] divided into such discussions were developed. In addition, the formation of his ideas around the Jung gu[鄭逑] influenced correlating it with the teacher and student relationships were investigated. Park Jin-young is Im-Byeong War[壬丙兩難] since emerged on the Joseon [朝鮮] Social Jon-ju[尊周] thought was one of the representative figures. His mentor Jung gu was the cause, seriously. And he cause, the influence of the teacher very seriously here was typical of that era. The people loved teacher. And his disciples to overcome difficulties that influence the Righteous Army sought to raise the country. His teachers have taught him Confucian influence. And behave appropriately when life. Park Jin-young acted appropriately when affected by such a life. Consequently, he was a true intellectual in those times.
This paper aims to examine the effects of perceived social fairness and upward social mobility on the individual emotional depression. Specifically, this study investigates the conditions under which the effects are more or less pronounced for the sake of shedding more light on the relationship between social-cognitive and psychological factors. The key proposition of this study is that as one holds more favorable beliefs about the fairness of the society to which (s)he belong, (s)he would have more optimistic expectations for the possibility of his or her own upward social mobility. Moreover, the decrease of this expectation could exacerbate his or her emotional depression with the expectation that (s)he might not get what (s)he deserves despite his or her time and effort put into achieving such goals. This study also adds further boundary conditions to these effects, such that the decrease of emotional depression is more pronounced when (1)social capital and (2)economic resources are scarce (versus abundant). To test these predictions, this study used the survey data on a total of 8000 people collected by Gallup Korea at the request of the Korea Institute of Public Administration. The analyses provided support for the proposed model of the present study. These results should contribute to laying the theoretical foundation for the establishment of policies and research models on the enhancement of fairness and prevention of depression in the future.
Objective: Follicle selection is an important process in chicken egg laying. Among several small yellow (SY) follicles, the one exhibiting the highest expression of follicle stimulation hormone receptor (FSHR) will be selected to become a hierarchal follicle. The role of lncRNA, miRNA and other non-coding RNA in chicken follicle selection is unclear. Methods: In this study, the whole transcriptome sequencing of SY follicles with different expression levels of FSHR in Jining Bairi hens was performed, and the expression of 30 randomly selected mRNAs, lncRNAs and miRNAs was validated by quantitative real-time polymerase chain reaction. Preliminary studies and bioinformatics analysis were performed on the selected mRNA, lncRNA, miRNA and their target genes. The effect of identified gene was examined in the granulosa cells of chicken follicles. Results: Integrated transcriptomic analysis on chicken SY follicles differing in FSHR expression revealed 467 differentially expressed mRNA genes, 134 differentially expressed lncRNA genes and 34 differentially expressed miRNA genes, and sosondowah ankyrin repeat domain family member A (SOWAHA) was the common target gene of three miRNAs and one lncRNA. SOWAHA was mainly expressed in small white (SW) and SY follicles and was affected by follicle stimulation hormone (FSH) treatment in the granulosa cells. Knockdown of SOWAHA inhibited the expression of Wnt family member 4 (Wnt4) and steroidogenic acute regulatory protein (StAR) in the granulosa cells of prehierarchal follicles, while stimulated Wnt4 in hierarchal follicles. Overexpression of SOWAHA increased the expression of Wnt4 in the granulosa cells of prehierarchal follicles, decreased that of StAR and cytochrome P450 family 11 subfamily A member 1 in the granulosa cells of hierarchal follicles and inhibited the proliferation of granulosa cells. Conclusion: Integrated analysis of chicken SY follicle transcriptomes identified SOWAHA as a network gene that is affected by FSH in granulosa cells of ovarian follicles. SOWAHA affected the expression of genes involved in chicken follicle selection and inhibited the proliferation of granulosa cells, suggesting an inhibitory role in chicken follicle selection.
With a long-lasting pandemic of COVID-19, we have faced unprecedented socioeconomic threats. The regulation of human exchange has exposed us not only to the threat of health and medical care problems, but also to the burden of the contraction of economic activity. The outbreak of COVID-19 did give us an opportunity to reexamine the social safety net which has been prepared for such crisis situations. The current study, in this vein, aims to investigate the impact of evaluations of social safety nets on the trust in government and on individual willingness to accept tax increases. To this end, this study has explored the data from a survey conducted on 1,000 adult men and women across the country (South Korea) in May, 2020, when COVID-19 has entered a pandemic phase. The analysis result then has shown that the evaluation of social safety net after the outbreak of COVID-19 had a positive impact on the trust in the government, which in turn led to the increase of the willingness to accept tax increases. Moreover, the positive impact of trust in government on the willingness to accept tax increases has been more amplified when the income level was increased. These results could contribute to laying the theoretical foundation for restructuring the policies and systems for the post COVID-19 era.
Although feather-sexing using sex-linked genes related to feather development is a widely used chick sexing method in the poultry industry, the feather-sexing method has yet to be used for Korean native chickens (KNCs). The purpose of this study was to construct a KNC feather-sexing line using early-feathering (EF) and late-feathering (LF) genes for industrial application. Using 557 reddish-brown KNCs as the basal flock, frequencies of the EF (k) and LF (K) genes were estimated to be 0.814 and 0.186, respectively. This indicating that it would be feasible to construct a feather-sexing line using this chicken group, and we accordingly constructed EF paternal and LF maternal lines. On the basis of test-cross for the selection of LF homozygous (KK) males in the maternal line, we confirmed that three of 40 chickens were homozygous males. The survival rate, body weight, days at first egg-laying, hen-day egg production, and egg weight were analyzed to compare the production performance of EF and LF chickens. The results revealed that EF chickens were characterized by a superior survival rate, whereas LF chickens were superior in terms of egg production rate. However, no differences between LF and EF chickens were detected with respect to other production performance parameters. In addition, assessment of the fitness of sexed chicks produced in the established KNC feather-sexing lines revealed that the accuracy of sexing was 98.6%. Collectively, these findings indicate the feasibility of constructing effective KNC feather-sexing lines with potential industrial application.
Journal of The Korean Association of Information Education
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v.24
no.5
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pp.423-431
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2020
As artificial intelligence(AI) technology is advanced based on recent technological advances such as machine learning, big data, and machine learning, it is actively used in various fields and is emerging as the core of the future industry. Accordingly, Korea is laying the groundwork for future AI technology development and environment establishment, such as announcing the national AI strategy, and is developing various policies to foster AI talent in the field of education. However, although many people agree on the importance or necessity of AI, it can be said that there is insufficient consensus on specific needs. Looking at related studies, there are many differences in the direction of AI education content and methodology, because awareness of necessity becomes a prerequisite for setting the direction, and accordingly, the direction such as educational content and method is determined. Therefore, this study aims to explore the direction of AI education by analyzing the difference in perceptions of the need for AI education between experts and the school field, and analyzing the perception of the need for AI education that everyone can relate to.
Zheng, Chao;Wu, Yan;Liang, Zhen Hua;Pi, Jin Song;Cheng, Shi Bin;Wei, Wen Zhuo;Liu, Jing Bo;Lu, Li Zhi;Zhang, Hao
Animal Bioscience
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v.35
no.2
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pp.224-235
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2022
Objective: Cage rearing has critical implications for the laying duck industry because it is convenient for feeding and management. However, caging stress is a type of chronic stress that induces maladaptation. Environmental stress responses have been extensively studied, but no detailed information is available about the comprehensive changes in plasma metabolites at different stages of caging stress in ducks. We designed this experiment to analyze the effects of caging stress on performance parameters and oxidative stress indexes in ducks. Methods: Liquid chromatography tandem mass spectrometry (LC/MS-MS) was used to determine the changes in metabolites in duck plasma at 5 (CR5), 10 (CR10), and 15 (CR15) days after cage rearing and traditional breeding (TB). The associated pathways of differentially altered metabolites were analyzed using Kyoto encyclopedia of genes and genomes (KEGG) database. Results: The results of this study indicate that caging stress decreased performance parameters, and the plasma total superoxide dismutase levels were increased in the CR10 group compared with the other groups. In addition, 1,431 metabolites were detected. Compared with the TB group, 134, 381, and 190 differentially produced metabolites were identified in the CR5, CR10, and CR15 groups, respectively. The results of principal component analysis (PCA) show that the selected components sufficiently distinguish the TB group and CR10 group. KEGG analysis results revealed that the differentially altered metabolites in duck plasma from the CR5 and TB groups were mainly associated with ovarian steroidogenesis, biosynthesis of unsaturated fatty acids, and phenylalanine metabolism. Conclusion: In this study, the production performance, blood indexes, number of metabolites and PCA were compared to determine effect of the caging stress stage on ducks. We inferred from the experimental results that caging-stressed ducks were in the sensitive phase in the first 5 days after caging, caging for approximately 10 days was an important transition phase, and then the duck continually adapted.
As a key infrastructure for digital transformation, the spread of data, network, artificial intelligence (D.N.A.) fields and the emergence of promising industries are laying the groundwork for active digital innovation throughout the economy. In this study, by applying the text mining methodology, major topics were derived by using the abstract, publication year, and research field of the study corresponding to the SCIE, SSCI, and A&HCI indexes of the WoS database as input variables. First, main keywords were identified through TF and TF-IDF analysis based on word appearance frequency, and then topic modeling was performed using g-DMR. With the advantage of the topic model that can utilize various types of variables as meta information, it was possible to properly explore the meaning beyond simply deriving a topic. According to the analysis results, topics such as business intelligence, manufacturing production systems, service value creation, telemedicine, and digital education were identified as major research topics in digital transformation. To summarize the results of topic modeling, 1) research on business intelligence has been actively conducted in all areas after COVID-19, and 2) issues such as intelligent manufacturing solutions and metaverses have emerged in the manufacturing field. It has been confirmed that the topic of production systems is receiving attention once again. Finally, 3) Although the topic itself can be viewed separately in terms of technology and service, it was found that it is undesirable to interpret it separately because a number of studies comprehensively deal with various services applied by combining the relevant technologies.
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