KIPS Transactions on Computer and Communication Systems
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제10권2호
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pp.29-38
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2021
The Internet including mobile networks is developing to overcoming the limitation of physical distance and providing or acquiring information from remote locations. However, the systems that use video as primary information require higher bandwidth for recognizing the situation in remote places more accurately through high-quality video as well as lower latency for faster interaction between devices and users. The emergence of the 5th generation mobile network provides features such as high bandwidth and precise location recognition that were not experienced in previous-generation technologies. In addition, the Mobile Edge Computing that minimizes network latency in the mobile network requires a change in the traditional system architecture that was composed of the existing smart device and high availability server system. However, even with 5G and MEC, since there is a limit to overcome the mobile network state fluctuations only by enhancing the network infrastructure, this study proposes a high-definition video streaming system in ultra-low latency based on the SRT protocol that provides Forward Error Correction and Fast Retransmission. The proposed system shows how to deploy software components that are developed in consideration of the nature of 5G and MEC to achieve sub-1 second latency for 4K real-time video streaming. In the last of this paper, we analyze the most significant factor in the entire video transmission process to achieve the lowest possible latency.
Kim, Do Hyung;Mun, Jong Hyeok;Park, Yoo Sang;Choi, Jong Sun;Choi, Jae Young
KIPS Transactions on Computer and Communication Systems
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제10권3호
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pp.59-70
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2021
With the recent advancements in the Internet of Things, context-aware system that provides customized services become important to consider. The existing context-aware systems analyze data generated around the user and abstract the context information that expresses the state of situations. However, these datasets is mostly unstructured and have difficulty in processing with simple approaches. Therefore, providing context-aware services using the datasets should be managed in simplified method. One of examples that should be considered as the unstructured datasets is a deep learning application. Processes in deep learning applications have a strong coupling in a way of abstracting dataset from the acquisition to analysis phases, it has less flexible when the target analysis model or applications are modified in functional scalability. Therefore, an abstraction model that separates the phases and process the unstructured dataset for analysis is proposed. The proposed abstraction utilizes a description name Analysis Model Description Language(AMDL) to deploy the analysis phases by each fat client is a specifically designed instance for resource-oriented tasks in edge computing environments how to handle different analysis applications and its factors using the AMDL and Fat client profiles. The experiment shows functional scalability through examples of AMDL and Fat client profiles targeting a vehicle image recognition model for vehicle access control notification service, and conducts process-by-process monitoring for collection-preprocessing-analysis of unstructured data.
Mun, Jong Hyeok;Kim, Do Hyung;Choi, Jong Sun;Choi, Jae Young
KIPS Transactions on Software and Data Engineering
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제10권4호
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pp.133-142
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2021
With the recent advancements of deep learning, companies such as smart home, healthcare, and intelligent transportation systems are utilizing its functionality to provide high-quality services for vehicle detection, emergency situation detection, and controlling energy consumption. To provide reliable services in such sensitive systems, deep learning models are required to have high accuracy. In order to develop a deep learning model for analyzing previously mentioned services, developers should utilize the state of the art deep learning models that have already been verified for higher accuracy. The developers can verify the accuracy of the referenced model by validating the model on the dataset. For this validation, the developer needs structural information to document and apply deep learning models, including metadata such as learning dataset, network architecture, and development environments. In this paper, we propose a description language that represents the network architecture of the deep learning model along with its metadata that are necessary to develop a deep learning model. Through the proposed description language, developers can easily verify the accuracy of the referenced deep learning model. Our experiments demonstrate the application scenario of a deep learning description document that focuses on the license plate recognition for the detection of illegally parked vehicles.
Journal of Korea Entertainment Industry Association
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제15권1호
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pp.99-115
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2021
The aim of this study is to improve the curriculum of the physical education by recognizing the necessity of new physical education to meet the needs of the sports industry. As a preliminary study for this, the subjects of physical education at American universities and those at regular domestic universities have been investigated. Then, the current state of operation of the physical education system of the credit bank system has been investigated. The first is the definition of the credit banking system, the investigation of accreditation of credits and the institutions of education and training. The Second is the investigation of the educational goals and qualifications of each major in the standard education curriculum and the current status of accredited credits. The third is the type and operation of institutions by degree in physical education, and the survey on current majors in progress. The fourth is the survey on the current status of operating institutions by region. The fifth is the classification of detailed subjects by major and the survey on the status of subjects by major. The last is the detailed subjects by major, and the analysis of the consistent or similar subjects in domestic and international sports industry subjects. Through the findings of this investigation, the following directions for improvement of the credit bank system curriculum have been suggested. Firstly, it is necessary to newly establish major courses tailored to social change. Secondly, it is necessary to develop mandatory and optional courses that meet the needs of the times. Thirdly, it is necessary to increase courses centered on field training that can meet the needs of the sports industry. Fourthly, in relation to the evaluation and recognition of the credit banking system, the conclusion have been derived that institutional improvement should be urgently performed.
To commemorate the 40th anniversary of the foundation of the Korean Association of Small Business Studies, this study reviewed research papers on the subject of entrepreneurship in the Asia Pacific Journal of Small Business. For 40 years, the subjects of entrepreneurship-related studies published in this journal were relatively limited and the number of articles was very few. The research papers mainly focus on defining entrepreneurship as an innovation or as a determinant of innovation and survey-based empirical studies have been conducted since the publication of the Entrepreneurial Orientation(EO) by Lumpkin and Dess(1996). Although entrepreneurship is a research field that can be approached from various perspectives such as economics, sociology, psychology, cultural anthropology, and organization theory, most of the papers published in the Asia Pacific Journal of Small Business do not clearly state their theoretical positions or viewpoints. Moreover, there are few studies that incorporate corporate entrepreneurs or startup teams although they have been major actors or entrepreneurship. Lastly, innovation has been the main focus of research, leaving other arenas such as opportunity recognition and discovery understudied. In order to increase the quantity and improve the quality in the entrepreneurship research, we need to have the entrepreneurship field as one academic section in the Asia Pacific Journal of Small Business.
This paper is an attempt to discuss the history and the current state of 'SF theaters.' SF theater is still an unfamiliar genre to the public, and may surprise some, given that the stage is perceived as an insufficient space for stretching the scientific imagination. Since 2010 works that bring the scientific imagination into the theater have frequently been performed, and a recognition of SF theaters began to be established. Producers came to be absorbed in human psychology, and our isolation amidst the progress in technology, as well as in the absurdities of the world, while giving up the ideal of realistic descriptions. This became the foundation for SF theaters in South Korea today. Starting from the research history and the conceptual change in SF theaters, this study examined the status of SF dramas going back to the colonial period for SF theaters. Through inquiring into the history of SF theaters, we were able to derive the following implications and problems. Firstly, as they are based on future society or technical improvement without consideration of scientific probability or rationality, the scientific imagination is too absent for the work to be named 'SF theater.' Secondly, while being highly evaluated as an attempt to integrate science and stage in an era that emphasizes convergence, when we delve into the creativity of a material it is noticeable that the view of the world is still regressive. Thirdly, there are many cases in which scripts lean on SF classics or Japanese original works. Nevertheless, if young creators' diverse attempts in a genre can breathe with the contemporary audience desiring a new material, the foundation of a Korean-style SF theater may be expanded to include more significant work.
This research aimed to examine the public's perception of the "rate of sentence reduction for reasons of mental and physical weakness" and investigate if it aligns with the actual practice. Various sources, such as the Supreme Court's Courtnet search system, the number of mental evaluation requests, and the number of articles and comments related to "mental weakness" on Naver News were utilized for the analysis. The findings indicate that the public has a negative opinion on reducing sentences due to mental and physical weakness, and they are dissatisfied with the vagueness of the standards. However, this study also confirms that the court strictly applies the reduction of responsibility for individuals with mental disabilities specified in Article 10 of the Criminal Act based on the analysis of actual judgments and the number of requests for psychiatric evaluation. In other words, even though the recognition of perpetrators' mental disorders is declining, the public does not seem to recognize this trend. This creates a negative impact on the public's trust in state institutions. Therefore, law enforcement agencies, such as the police and prosecutors, need to enforce the law according to clear standards to gain public trust. The judiciary also needs to make a firm decision on commuting sentences for mentally and physically infirm individuals and inform the public of the outcomes of its application.
This study examined the effect of Attention Feedback Awareness and Control Training(A-FACT) on attention bias and generalized anxiety symptoms in college students. A total of 31 college students with at least 10 points on the Generalized Anxiety Disorder 7-item (GAD-7) scale or at least 56 points on the Korean version of the Penn State Worry Questionnaire (K-PSWQ) with attention bias were randomly assigned to one of three groups: A-FACT( n = 11), Attention Bias Modification (ABM)(n = 10) and Active Placebo Control (APC)(n = 10). Participants in A-FACT group received real-time feedback on attention bias based on their Baseline Neutral Response time(BNR) during A-FACT using a dot probe task. Participants in the ABM group received standard ABM, and those in the APC performed a dot probe task that they were informed was a program to reduce attention bias, but feedback was not provided. A total of eight sessions was conducted twice a week over a 4-week period. After every two sessions, GAD-7, K-PSWQ and K-STAI were rated. The effect of attention bias modification training was rated by changes in the Attention Bias Score(ABS), and in GAD-7, K-PSWQ and K-STAI scores. The results of repeated measure ANOVA indicated that the A-FACT group showed a significant decrease in ABS as well as in GAD-7, K-PSWQ and K-STAI scores compared to the other groups. Current results suggest that self-regulatory control of attention, that is, recognition of bias through feedback in A-FACT, may be effective in alleviating attention bias and generalized anxiety symptoms by recognizing bias through feedback on bias in attention bias modification training.
In-Chan Kim;Jong-Hoon Kim;Jun-Hak Sim;Kang-Hee Lee;Sang-Keun Cho;Sang-Hyuk Park;Myung-Sook Hong
The Journal of the Convergence on Culture Technology
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제9권5호
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pp.269-273
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2023
After participating in the Second Boer War in 1899, the Australian Army participated in world wars such as World War I, World War II, the Korean War, and the Vietnam War. To overcome the decline in the social recognition of soldiers and the continuous shortage of troops caused by the protracted war, the status and role of female personnel were expanded. The use of female manpower, which started as medical support during the Second Boer War, expanded to combat support missions such as communications, maintenance, driving, secret document management, and radar surveillance during World War II. After the Vietnam War, the Chiefs of Staff of the Australian Army, Navy and Air Force established a committee to expand women's participation in the military, improved service conditions for female personnel and supplemented regulations so that they were treated as soldiers, not women, and reached a turning point in expanding the role of female personnel in the Australian military. As a result, all combat positions, including special forces, were opened to women in 2014, and a plan was established to increase the proportion of women in each service by 2030. As a result, all combat positions, including special forces, were opened to women in 2014, and the Australian Armed Forces set a plan to increase the proportion of women by 2030. Like the Australian military, South Korea is also experiencing a demographic cliff and shortage of troops due to the continuing low birthrate problem. Through the history and current state of the use of female personnel in the Australian military, we would like to draw implications for the direction our military should go.
Tumor suppressor genes (TSGs) play a crucial role in maintaining cellular homeostasis. When the function of these genes is lost, it can lead to cellular plasticity that drives the development of various cancers, including small-cell lung cancer (SCLC), which is known for its aggressive nature. SCLC is primarily driven by numerous loss-of-function mutations in TSGs, often involving genes that encode epigenetic regulators. These mutations pose a significant therapeutic challenge as they are not directly targetable. However, understanding the molecular changes resulting from these mutations might provide insights for developing tumor intervention strategies. We propose that despite the heterogeneous genomic landscape of SCLC, the effects of mutations in patient tumors converge on a few critical pathways that drive malignancy. Specifically, alterations in epigenetic regulators lead to transcriptional dysregulation, pushing mutant cells toward a highly plastic state that makes them immune evasive and highly metastatic. This review will highlight studies showing how an imbalance of epigenetic regulators with opposing functions leads to the loss of immune recognition markers, effectively hiding tumor cells from the immune system. Additionally, we will discuss the role of epigenetic regulators in maintaining neuroendocrine features and how aberrant transcriptional control promotes epithelial-to-mesenchymal transition during tumor development. Although these pathways seem distinct, we emphasize that they often share common molecular drivers and mediators. Understanding the connection among frequently altered epigenetic regulators will provide valuable insights into the molecular mechanisms underlying SCLC development, potentially revealing preventive and therapeutic vulnerabilities for SCLC and other cancers with similar mutations.
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