• Journal of the Korea Society for Simulation
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• 제18권2호
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• pp.29-38
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• 2009

In the computing environment with heterogeneous resources, a job scheduling model is necessary for effective resource utilization and high-speed data processing. And, the job scheduling model has to cope with a dynamic change in the condition of resources. There have been lots of researches on resource estimation methods and heuristic algorithms about how to distribute and allocate jobs to heterogeneous resources. But, existing researches have a weakness for system compatibility and scalability because they do not support the standard language. Also, they are impossible to process jobs effectively and deal with a variety of computing situations in which the condition of resources is dynamically changed in real-time. In order to solve the problems of existing researches, this paper proposes a semantic computing-based dynamic job scheduling model that defines various knowledge-based rules for job scheduling methods adaptable to changes in resource condition and allocate a job to the best suited resource through inference. This paper also constructs a resource ontology to manage information about heterogeneous resources without difficulty as using the OWL, the standard ontology language established by W3C. Experimental results shows that the proposed scheduling model outperforms existing scheduling models, in terms of throughput, job loss, and turn around time.

• Geophysics and Geophysical Exploration
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• 제26권3호
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• pp.126-137
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• 2023

In this study, a recurrent neural network (RNN) was employed as a methodological approach to classify dolphin click signals derived from ocean monitoring data. To improve the accuracy of click signal classification, the single time series data were transformed into fractional domains using fractional Fourier transform to expand its features. Transformed data were used as input for three RNN models: long short-term memory (LSTM), gated recurrent unit (GRU), and bidirectional LSTM (BiLSTM), which were compared to determine the optimal network for the classification of signals. Because the fractional Fourier transform displayed different characteristics depending on the chosen angle parameter, the optimal angle range for each RNN was first determined. To evaluate network performance, metrics such as accuracy, precision, recall, and F1-score were employed. Numerical experiments demonstrated that all three networks performed well, however, the BiLSTM network outperformed LSTM and GRU in terms of learning results. Furthermore, the BiLSTM network provided lower misclassification than the other networks and was deemed the most practically appliable to field data.

• Journal of Korea Entertainment Industry Association
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• 제13권2호
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• pp.101-110
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• 2019

Filmic spaces are not only a core expressive factors that can embody both internal and external meanings of films, but also play an important role for initiating dramatic context in terms of narratives. They establish visible environment in which provocative incidents occur and characters' behaviors are induced, include characters' psychology or emotional meanings of narratives and provoke tensions through symbolic meanings and the implicit function of surface background. This paper, therefore, analyzes the film, , by focusing on the dramatic function of narrative space. This film provides insights and thoughts through deep philosophical reflection, by escaping from the convention of such a genre, through deep philosophical reflection, by escaping from the convention of such a genre, though it belongs seemingly to the crime thriller genre using Mexico's drug cartel as it main material. In the film, narrative spaces are responsible for emotions invoking dramatic tensions beyond provocative incidents and the elaborately planned and controlled mise-en-scene absorbed audiences' attention by organizing ultimate suspense. In conclusion, flow and dramatic lingering imagery of this film might be achieved by power of scenes rather than plot factors. This study thus explained the correlation between narrative spaces and dramatic immersion, by analyzing spaces appearing in and visualized construction. It is hoped that this will further extends the pattern of researches on dramatic immersion, which have been primarily focused on plots and characters.

• Journal of Korea Entertainment Industry Association
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• 제13권3호
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• pp.55-75
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• 2019

This study examines popular entertainers' professionalism with division of genres and cast portions. While genres can be divided into TV drama and variety show, cast portion into leading, supporting, and minor role. Entertainers' thought is categorized into their professional consciousness and their program awareness. By this division and categorization, this study grasps concretely how genres and cast portions affect entertainers' ideas. We conducted a survey on one hundred entertainers in TV dramas and variety shows and have analyzed data by using n-way ANOVA. This study also conducted in-depth interview as a research method by which we intended to enhance validity of the result. The results provide that genres and cast portions affected on entertainers' professional consciousness and their program awareness. In terms of professional consciousness, significant result was drawn on thoughts of discrimination, community, vocation, and satisfaction. In terms of their program awareness, affection, accountability, ownership, and anxiety consciousness were significant. With this result, this study provides implications both theoretical aspect and practical aspect. On theoretical aspect, this study broadens celebrity studies beyond star studies, and attempts to categorize entertainers theoretically. On practical aspect, it provides reconsideration on broadcasting condition, and suggests solving the problem of gap among entertainers.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 한국정보통신학회 2022년도 추계학술대회
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• pp.433-435
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• 2022

In this paper, we introduce a computing resource standard metadata schema design plan for registering, retrieving, and managing computing resources used for research data analysis and utilization in the Korea Research Data Commons(KRDC). KRDC is a joint utilization system of research data and computing resources to maximize the sharing and utilization of research data. Computing resources refer to all resources in the computing environment, such as analysis infrastructure and analysis software, necessary to analyze and utilize research data used in the entire research process. The standard metadata schema for KRDC computing resource management is designed by considering common attributes for computing resource management and other attributes according to each computing resource feature. The standard metadata schema for computing resource management consists of a computing resource metadata schema and a computing resource provider metadata schema. In addition, the metadata schema of computing resources and providers was designed as a service schema and a system schema group according to their characteristics. The standard metadata schema designed in this paper is used for computing resource registration, retrieval, management, and workflow services for computing resource providers and computing resource users through the KRDC web service, and is designed in a scalable form for various computing resource links.

• Journal of the Korean Geotechnical Society
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• 제22권12호
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• pp.5-14
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• 2006

In general, the dredged ground was composed of a big difference of sediment shape through segregating sedimentary of finer soil in case of reclaiming by dredged coarse soils. Therefore, this study was performed to evaluate the change of settling velocity of flow, and the density of sedimentary which is based on settling tests and self-weight consolidation tests, and consolidation test by seepage force according to the percentage of coarse of Kunsan dredge soils. The Yano's method has been applied to estimate the settlement of self-weight consolidation in finer soils at design but it only considers pouring water content and elevation of interface, therefore the other method needs to be introduced for the exact prediction of the settlement of coarse soil in which the segregation sedimentation is occurring. In this study, the settlement of self-weight consolidation was calculated by the change of the density of segregating sedimentary of coarse and finer soils which was analyzed by Yano's method to extend a serious of researches. The self-weight consolidation by Yano's method will not reflect the segregated settling in dredging coarse soil under 40% of #200 passing percentage. As a result, the evaluation technique of settlement of self-weight consolidation considering a change of the density of segregating sedimentary is suggested as a reasonable method that considers the sediment shape of coarse soil.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• 제29권1호
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• pp.1-7
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• 2023

Chlorine dioxide (ClO₂) is widely used for post-harvest sterilization treatment. However, there are limitations in the retail application of ClO₂ due to difficulties in handling, expensive facilities, and safety concerns. Therefore, it is necessary to develop a ClO₂ technology that can be easily applied and continuously released for a long period. In this study, a series of ClO₂ self-releasing sachets were developed. First, poly(ether-block-amide) (PEBAX) and polyethylene-glycol (PEG) composite films containing different ratios of citric acid (CA) were prepared using the solution casting method. The as-prepared PEBAX/PEG-CA composite films were evaluated using FT-IR, DSC, and TGA to confirm chemical structure and thermal properties. Subsequently, PEBAX/PEG-CA composite films were designed in the form of a sachet and NaClO₂ powder was transferred into the sachet to achieve a ClO₂ self-releasing system. The ClO₂-releasing behavior of the sachet was investigated by measuring the release amount of the gas using UV-vis. The release amount of ClO₂ increased with increasing CA contents owing to the existence of higher protons (trigger) in the polymer matrix. Further, ClO₂ gas was released for a longer time. Therefore, the as-prepared smart sachet can be tuned according to applications and packaging sizes to serve an optimal sterilization effect.

• Journal of Industrial Convergence
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• 제21권4호
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• pp.41-63
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• 2023

Organizational members' innovative behavior is a key element that promotes organizational growth and sustainability. With today's unstable environment of economic and market , the importance of employees' innovative behavior is being emphasized. The reason is that employees' innovative behaviors play an important role in securing a organizational competitiveness. Based on this, this study focused on ways to improve employees' innovation behavior. Specifically, the causal relationship between participatory leadership and employees' innovative behavior was identified and the influence of innovative behavior was also verified. Furthermore, in the process of participatory leadership influencing employees' innovative behavior, the serial multiple mediating effect of knowledge sharing and creativity was verified. In order to demonstrate the hyphotheses, this study focused on 237 employees who work in Chinese SMEs. The results of the empirical analysis showed that participatory leadership had a positive effect on knowledge sharing, creativity, and innovative behavior. In addition, the serial multiple mediating effects of knowledge sharing and creativity on the relationship between participatory leadership and innovative behavior was significant. Overall, this study verified the positive role of participatory leadership that enhances employees' innovative behavior in Chinese SMEs and contributed to expanding the research field related to employees' innovative behavior through serial multiple mediating model.

• Journal of Korean Library and Information Science Society
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• 제53권1호
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• pp.171-190
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• 2022

This study aims to examine the current status of managing elementary school libraries in Busan and suggest the ways to improve it with the viewpoint of 'the five laws of library science'. The scope of study was set as the elementary school libraries in Busan, and the operation status of 304 elementary school libraries was analyzed. And for in-depth investigation, D elementary school library was examined as a case. The operation status of elementary school libraries in Busan was analyzed with the analysis elements; existence of school library, placement of teacher librarian, library collection, annual use, budget, and library seats for 6 years from 2016 to 2021. As a result, especially the placement rate of full-time teacher librarians was only 10.5%, indicating that the problem of manpower shortage was serious. As case study, the current state of managing D elementary school library was deeply investigated with perspectives of the first law and the third law of library science among Ranganathan's five laws of library science. With the first law, the investigation was divided into the aspects of open-shelf system, library location, library hours, furniture, and staff. With the third law, the investigation was done as the aspects of shelf arrangement, catalog, extended service, book selection. Especially, books with more than 50 copies for the program of reading one book each semester accounted for 4.8% of the total collection, showing the problem of unbalanced collection. As the result of this study, 'expanding the placement of teacher librarians', 'making better reading environment through remodeling', and 'balanced collection development' were suggested as the ways of developing school libraries.

• KIPS Transactions on Computer and Communication Systems
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• 제11권3호
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• pp.73-82
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• 2022

Auto-scaling is one of the most important functions for cloud computing technology. Even if the number of users or service requests is explosively increased or decreased, system resources and service instances can be appropriately expanded or reduced to provide services suitable for the situation and it can improves stability and cost-effectiveness. However, since the policy is performed based on a single metric data at the time of monitoring a specific system resource, there is a problem that the service is already affected or the service instance that is actually needed cannot be managed in detail. To solve this problem, in this paper, we propose a method to predict system resource and service response time using a multivariate time series analysis model and establish an auto-scaling policy based on this. To verify this, implement it as a custom scheduler in the Kubernetes environment and compare it with the Kubernetes default auto-scaling method through experiments. The proposed method utilizes predictive data based on the impact between system resources and response time to preemptively execute auto-scaling for expected situations, thereby securing system stability and providing as much as necessary within the scope of not degrading service quality. It shows results that allow you to manage instances in detail.