• Journal of KIISE:Computer Systems and Theory
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• v.31 no.5_6
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• pp.257-267
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• 2004

Most algorithms for handling distributed deadlock problem in the generalized request model use the diffusing computation technique where propagation of probes and backward propagation of replies carrying dependency information between processes are both required to detect deadlock Since fast deadlock detection is critical, we propose an algorithm that lets probes rather than replies carry the information required for deadlock detection. This helps to remove the backward propagation of replies and reduce the time cost for deadlock detection to almost half of that of the existing algorithms. Moreover, the proposed algorithm is extended to deal with concurrent executions, which achieves further improvement of deadlock detection time, whereas the current algorithms deal only with a single execution. We compare the performance of the proposed algorithm with that of the other algorithms through simulation experiments.

• Earthquakes and Structures
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• v.13 no.6
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• pp.539-549
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• 2017

Existing reinforced concrete frame buildings designed for vertical loads could only suffer severe damage during earthquakes. In recent years, many research activities were undertaken to develop a reliable and practical analysis procedure to identify the safety level of existing structures. The Incremental Dynamic Analysis (IDA) is considered to be one of the most accurate methods to estimate the seismic demand and capacity of structures. However, the executions of many nonlinear response history analyses (NL_RHA) are required to describe the entire range of structural response. The research discussed in this paper deals with the proposal of an efficient Incremental Modal Pushover Analysis (IMPA) to obtain capacity curves by replacing the nonlinear response history analysis of the IDA procedure with Modal Pushover Analysis (MPA). Firstly, In this work, the MPA is examined and extended to three-dimensional asymmetric structures and then it is incorporated into the proposed procedure (IMPA) to estimate the structure's seismic response and capacity for given seismic actions. This new procedure, which accounts for higher mode effects, does not require the execution of complex NL-RHA, but only a series of nonlinear static analysis. Finally, the extended MPA and IMPA were applied to an existing irregular framed building.

• Journal of Korea Multimedia Society
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• v.22 no.9
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• pp.1036-1045
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• 2019

Relational databases have a notion of normalization, in which the model for storing data is standardized according to the organization's business processes or data operations. However, the graph database is relatively early in this standardization and has a high degree of freedom in modeling. Therefore various models can be created with the same data, depending on the database designers. The essences of the graph database are two aspects. First, the graph database allows accessing relationships between the objects semantically. Second, it makes relationships between entities as important as individual data. Thus increasing the degree of freedom in modeling and providing the modeling developers with a more creative system. This paper introduces different graph models with test data. It compares the query performances by the results of response speeds to the query executions per graph model to find out how the efficiency of each model can be maximized.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.591-593
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• 2022

This paper proposes a partial offloading system for minimizing application service processing latency in an FEC (Fog/Edge Computing) environment, and it analyzes the offloading effect of the proposed system against local-only and edge-server-only processing based on network load. A partial offloading algorithm based on reconstruction linearization of multi-branch structures is included in the proposed system, as is an optimal collaboration algorithm between mobile devices and edge servers [1,2]. The experiment was conducted by applying layer scheduling to a logical CNN model with a DAG topology. When compared to local or edge-only executions, experimental results show that the proposed system always provides efficient task processing strategies and processing latency.

• Journal of Information Processing Systems
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• v.19 no.6
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• pp.730-744
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• 2023

The topic of this paper is the recognition of human activities using egocentric vision, particularly captured by body-worn cameras, which could be helpful for video surveillance, automatic search and video indexing. This being the case, it could also be helpful in assistance to elderly and frail persons for revolutionizing and improving their lives. The process throws up the task of human activities recognition remaining problematic, because of the important variations, where it is realized through the use of an external device, similar to a robot, as a personal assistant. The inferred information is used both online to assist the person, and offline to support the personal assistant. With our proposed method being robust against the various factors of variability problem in action executions, the major purpose of this paper is to perform an efficient and simple recognition method from egocentric camera data only using convolutional neural network and deep learning. In terms of accuracy improvement, simulation results outperform the current state of the art by a significant margin of 61% when using egocentric camera data only, more than 44% when using egocentric camera and several stationary cameras data and more than 12% when using both inertial measurement unit (IMU) and egocentric camera data.

• Journal of the Economic Geographical Society of Korea
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• v.10 no.4
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• pp.444-460
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• 2007

The purpose of this study is to investigate the logical bases and the real situation of the CSR(corporate social responsibility) execution in the context of local governance. Basically, some management necessities to establish a strategic relationship between a firm and its regional community, is the main reason of CSR execution in the region or in general. Although some costs in forms of money or manpower or resources, should be paid to execute the CSR in a short term, there are so many advantages resulting from it in terms of long time periods. Corporate social responsibility seeks to induce a sustainable harmony or interdependent relationship between the firm and its regional community. In case of POSCO Gwangyang works, so much various forms of community contributions are promoted as a part of CSR executions from the passive reaction for civil petitions to the good corporate citizenship activities. In spite of such an active CSR execution in Gwangyang works, there seems to be required that another way within the works should be explored in order to make it much more effective. Optimal distribution of various resources which are called out for the CSR, is one of the key factors that can affect the strategic result of CSR.

• The Transactions of the Korea Information Processing Society
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• v.2 no.4
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• pp.567-580
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• 1995

A transition-based Objet-oriented programming system(TOPS) is a transition-based object-oriented system suitable for development of various concurrent systems.A TOPS consists of a collection of interacting structural active objects(SAOs),and their behaviors are determined by the transition statements provided in their class definitions.Furthermore,SAOs can be structurally and hierarchcally composed from their component SAOs like hardware commponents. These features allow SAOs to model components for circuit simulation more naturally than passive objects used in ordinary object-oriented programming. Also,we can easily add new kinds of components by using the inheritance mechanism.Executions of transition statements may be eventand/or time-driven, and hence digital,and mixed-mode simulation is possible.Prototype simulation programs with graphical user interfaces have been developed as TOPS progrms for digital,analog,and mixed-mode circuit simulation.

• Journal of Internet Computing and Services
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• v.13 no.2
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• pp.73-86
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• 2012

This paper theoretically derives an algorithm to discover a new type of social networks from workflow models, which is termed workflow-based social network intelligence. In general, workflow intelligence (or business process intelligence) technology consists of four types of techniques that discover, analyze, monitor and control, and predict from workflow models and their execution histories. So, this paper proposes an algorithm, which is termed ICN-based workflow-based social network intelligence discovery algorithm, to be classified into the type of discovery techniques, which are able to discover workflow-based social network intelligence that are formed among workflow performers through a series of workflow models and their executions, In order particularly to prove the correctness and feasibility of the proposed algorithm, this paper tries to apply the algorithm to a specific workflow model and to show that it is able to generate its corresponding workflow-based social network intelligence.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.20 no.3
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• pp.365-370
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• 2007

Many engineering problems often require the large amount of computing resources for iterative simulations of problems treating many parameters and input files. In order to overcome the situation, this paper proposes an e-Science based computational system. The system exploits the Grid computing technology to establish an integrated web service environment which supports distributed high throughput computational simulations and remote executions. The proposed system provides an easy-to-use parametric study service where a computational service includes real time monitoring. To verify usability of the proposed system, two kinds of applications were introduced. The first application is an Aerospace Integrated Research System (e-AIRS). The e-AIRS adapts the proposed computational system to solve CFD problems. The second one is design and optimization of protein 3-dimensional structures in structural biology.

• The Journal of Society for e-Business Studies
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• v.8 no.3
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• pp.87-105
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• 2003

Business Process Management (BPM) is an emerging trend of managing business process life cycles and integrating heterogeneous systems . Recently, BPM is considered as an essential element for automation of complex business processes involving many companies, particularly for those in an e-Business environment. In such an environment, it is very important for each business partner to trace history of resources. However, it has been a difficult problem for Workflow Management Systems(WFMSs) to support management of resource changes because of limited storage, complex process structure, and absence of formal change model. In this paper. a new framework is proposed, which can support change management for documents, one of core resources of business process. Under a traditional WFMSs framework, all workflow components belong to either build-time or run-time function, and executions of workflow processes are performed by the two functions . To manage changes of documents while process executing. a new framework with additional component modules are required. A version control method is introduced for the purpose of managing document changes. The proposed method includes five models for document structure, process structure, association between process and document, version management, and efficient version storage. A prototype system is developed to demonstrate the effectiveness of the proposed models.