• Journal of Korean Medicine Rehabilitation
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• v.33 no.2
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• pp.49-55
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• 2023

Objectives The purpose of this study is to analyze randomized controlled trials about neuromuscular electrical stimulation for muscle wasting with cancer patient and evaluate it's motor functionality effect. Methods Studies will be searched from 7 online databases (PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure [CNKI], Korean studies Information Service System [KISS], Research Information Sharing Service [RISS], Oriental Medicine Advanced Searching Integrated System [OASIS]). Participants will be cancer patients with muscle loss, regardless of cause, gender, race or age, interventions will be neuromuscular electrical stimulation. Other treatments than interventions will be the control group and the main outcome will be reviewed by motor functionality effect. Results Randomized controlled trials about neuromuscular electrical stimulation for muscle wasting should be included in the study. Primary outcomes include motor functionality effect. Secondary outcomes evaluate adverse event. The data uses Review Manager Software 5.4. Conclusions The conclusion of this study will provide a basis for determining whether neuromuscular electrical stimulation treatment for muscle wasting with cancer patient treatment is an effective and safe treatment method in clinical practice.

• Korean Journal of Social Welfare
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• v.66 no.4
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• pp.181-205
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• 2014

The purpose of this study is to analyze the process of growth of parental empowerment of the family of the children with development disabilities in an online parental community. For this purpose, 250 posts were selected from a web-forum of an online-community(internet CAFE) for patients with developmental disabilities in a Korean portal site. In addition, the selected posts were analyzed based on the grounded theory method. The results showed that the parents with high risk children for developmental disabilities interacted with each other in short answers, self-addressing, and discussion type interactions under the causal condition in which the subject parents were in need of help and sympathy. The factors that significantly affected the focus event, which is the interactive communication between the posters of the original threads and replies, included the moderating conditions based on whether the conversation was respectful, friendly, or for general evaluation, as well as the contextual condition of exclusive attitudes. The strategies of the interactions were composed of two categories of self-reflections and sharing through a human relationship. The results of these interactions were either further interactions (sharing) or shying away. With regard to the process of reinforcing the collective empowerment of the family, the 'determination,' 'tips,' and 'empathy' models were used for the explanation of the process. Lastly, we discovered that trust, support, continuous interactions, specific and practical information, as well as provision of diversified perspectives through collective experiences are necessary to achieve such improvement of collective family empowerment.

• The Journal of the Korea Contents Association
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• v.17 no.3
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• pp.231-237
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• 2017

Threat intelligences collected from cyber incident sharing system and security events collected from Security Information & Event Management system are analyzed and coped with expanding malicious code rapidly with the advent of big data. Analytical classification of the threat intelligence in cyber incidents requires various features of cyber observable. Therefore it is necessary to improve classification accuracy of the similarity by using multi-profile which is classified as the same features of cyber observables. We propose a multi-profile ensemble model performed similarity analysis on cyber incident of threat intelligence based on both attack types and cyber observables that can enhance the accuracy of the classification. We see a potential improvement of the cyber incident analysis system, which enhance the accuracy of the classification. Implementation of our suggested technique in a computer network offers the ability to classify and detect similar cyber incident of those not detected by other mechanisms.

• Journal of Internet Computing and Services
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• v.10 no.1
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• pp.101-110
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• 2009

Multi-agent systems are mostly used to integrate the intelligent and distributed approaches to various systems for effective sharing of resources and dynamic system reconfigurations. Object replication is usually used to implement fault tolerance and solve the problem of unexpected failures to the system. This paper presents the intelligent multi-agent distributed platform based on the dynamic object group management and proposes an object search technique based on the proposed filtered k-means (Fk-means). We propose Fk-means for the search mechanism to find alternative objects in the event of object failures and transparently reconnect client to the object. The filtering range of Fk-means value is set only to include relevant objects within the group to perform the search method efficiently. The simulation result shows that the proposed mechanism provides fast and accurate search for the distributed object groups.

• KIISE Transactions on Computing Practices
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• v.22 no.10
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• pp.488-496
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• 2016

In this paper, we introduce a virtual reality interface for scientific visualization applications. Our VR interface is based on an open-source framework called VR Juggler. Although VR Juggler has its own advantages, it lacks some of the important functionalities needed for practical applications - event handling, synchronization and data sharing among cluster nodes, to name a few. We explain how these issues are resolved while developing the VR interface. Also, a new interface with a smart device, which replaces the virtual reality input device, is introduced. Finally, system usability test results are provided to prove the effectiveness of the proposed interfaces.

• Journal of KIISE:Computer Systems and Theory
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• v.30 no.9
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• pp.461-476
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• 2003

Due to the implementation ease and alleviation of memory bottleneck effect, NUMA architecture has dominated in the multiprocessor systems for the past several years. However, because the NUMA system distributes memory in each node, frequent remote memory access is a key factor of performance degradation. Therefore, efficient design of RAC(Remote Access Cache) in NUMA system is critical for performance improvement. In this paper, we suggest Multi-Grain RAC which can adaptively control the RAC line size, with respect to each application behavior Then we simulate NUMA system with multi-grain RAC using MINT, event-driven memory hierarchy simulator. and analyze the performance results. At first, with profile-based determination method, we verify the optimal RAC line size for each application and, then, we compare and analyze the performance differences among NUMA systems with normal RAC, with optimal line size RAC, and with multi-grain RAC. The simulation shows that the worst case can be always avoided and results are very close to optimal case with any combination of application and RAC format.

• International journal of advanced smart convergence
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• v.4 no.2
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• pp.109-119
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• 2015

The interaction between wireless sensors such as Internet of Things (IoT) and Cloud is a new paradigm of communication virtualization to overcome resource and efficiency restriction. Cloud computing provides unlimited platform, resources, services and also covers almost every area of computing. On the other hand, Wireless Sensor Networks (WSN) has gained attention for their potential supports and attractive solutions such as IoT, environment monitoring, healthcare, military, critical infrastructure monitoring, home and industrial automation, transportation, business, etc. Besides, our virtual groups and social networks are in main role of information sharing. However, this sensor network lacks resource, storage capacity and computational power along with extensibility, fault-tolerance, reliability and openness. These data are not available to community groups or cloud environment for general purpose research or utilization yet. If we reduce the gap between real and virtual world by adding this WSN driven data to cloud environment and virtual communities, then it can gain a remarkable attention from all over, along with giving us the benefit in various sectors. We have proposed a Pub/Sub-based sensor virtualization framework Cloud environment. This integration provides resource, service, and storage with sensor driven data to the community. We have virtualized physical sensors as virtual sensors on cloud computing, while this middleware and virtual sensors are provisioned automatically to end users whenever they required. Our architecture provides service to end users without being concerned about its implementation details. Furthermore, we have proposed an efficient content-based event matching algorithm to analyze subscriptions and to publish proper contents in a cost-effective manner. We have evaluated our algorithm which shows better performance while comparing to that of previously proposed algorithms.

• The KIPS Transactions:PartD
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• v.14D no.7
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• pp.773-782
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• 2007

Software produce line engineering is a method that prepares for future reuse and supports seamless reuse in the application development process. Analyzing the commonality and variability between products in a product line is one of the essential concerns that must be considered when building a product line. In this paper, we suggest to combine a product line engineering approach with RFID applications technology. More concretely, common activities are identified among the RFID-enable applications and the variability in the common activities is analyzed in detail. Then, we suggest reusable product line architecture as a product line asset. In addition, as a tool for supporting this research, a framework which provides both reusable product line architecture for REID applications and the components that implement concrete realization of the architecture is developed. Sharing a common architecture and reusing assets to deploy recurrent services may be considered an advantage in terms of economic significance and overall quality.

• The KIPS Transactions:PartA
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• v.17A no.3
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• pp.127-136
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• 2010

A wireless sensor network(WSN) which roles as a mediator between living environment and computers in ubiquitous computing is very essential research area. Due to the constraint that sensor nodes should work in very resource-restricted circumstances, an operating system that can manage resources effectively is demanded. Also, a sensor network should be able to deal with many events quickly and simultaneously in order to respond to various physical changes in outer environment. The Sensor Network Operating System such as TinyOS, MANTIS and NanoQplus is much designed so that it can satisfy such requirement. But, for programmers who develop application program for sensor networks, they have lack of frameworks which the development is easily possible from restricted development environment. In this paper for this, we implemented a state machine framework apt for responsive systems in NanoQplus which is multi-thread-based sensor network operating system. In addition we propose an event broker module(EBM) for effective event dispatching, a message data structure for message sharing among state machines, and an execution module that handles messages and their queue and performs state transition of the machines. Furthermore, we could do the development more easily an application program with a state-based framework by developing CASE tools.

• Spatial Information Research
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• v.22 no.5
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• pp.43-52
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• 2014

Recently, Big Data is a buzzword in the creative economy generation. The organizations related to spatial information society focus on building the spatial big data systems. As spatial big data is a combination of spatial information and big data, the data visualization is essential in order to utilize them efficiently. One of the great methodologies for data visualization is infographics. Nationally, Chousn.com initiated the infographics news in 2010. Korean Administration Branches also recognized the importance of infographic and they adopted infographics for their briefings from 2013. Internationally, Visual.ly is leading company in the infographics market and they produced noticeable interactive infographics for Egypt Parliamentary Elections results. In the defense part, Guardian's datajournalism of Afghanistan war log was a good example of utilizing infographics. Throughout the research, five requirements are extracted. First source data should have precision and accuracy in terms of time and space manner. Second, infographics images have a compressibility. Third, the infographics is properly processed for military commanders. Fourth, sharing, openness and communication are essential for high quality infographic. Lastly, infographics should be an analytic tool for predicting future event based on the past data. Infographics is not a direct representation of data but an analytic tool for helping user's choice and decision in critical moments.