• Annual Conference of KIPS
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• 2008.11a
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• pp.1280-1283
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• 2008

The network performance of MOGs(Multiplayer Online Games) can be measured by the amount of network loads and the response times on user inputs. This paper introduces a frame locking algorithm and a game turn algorithm that have been used for game synchronization in the area of RTS(Real-time Strategy Simulation) Games, a kind of MOG; the results of performance evaluation of these two algorithms are also given. In addition, a server architecture for MOG servers in which replacing synchronization algorithms can be done easily for pursuing efficient performance evaluation, is also introduced.

• Journal of Korea Society of Digital Industry and Information Management
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• v.20 no.3
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• pp.13-23
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• 2024

For the purpose of predicting credit card customer churn accurately through data analysis Detecting and tracking objects in continuous video is essential in self-driving cars, security and surveillance systems, sports analytics, medical image processing, and more. Correlation tracking methods such as Normalized Cross Correlation(NCC) and Sum of Absolute Differences(SAD) are used as an effective way to measure the similarity between two images. NCC, a representative correlation tracking method, has been useful in real-time environments because it is relatively simple to compute and effective. However, correlation tracking methods are sensitive to rotation and size changes of objects, making them difficult to apply to real-time changing videos. To overcome these limitations, this paper proposes an object tracking method using the Histogram of Oriented Gradients(HOG) feature to effectively obtain object data and the Convolution Neural Network(CNN) algorithm. By using the two algorithms, the shape and structure of the object can be effectively represented and learned, resulting in more reliable and accurate object tracking. In this paper, the performance of the proposed method is verified through experiments and its superiority is demonstrated.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1996.06c
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• pp.780-791
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• 1996

A hybrid image processing system which automatically distinguished lean tissues in the image of a complex beef cut surface and generated the lean tissue contour has been developed. Because of the in homegeneous distribution and fuzzy pattern of fat and lean tissue on the beef cut, conventional image segmentation and contour generation algorithm suffer from a heavy computing requirement, algorithm complexity and poor robustness. The proposed system utilizes an artificial neural network enhance the robustness of processing. The system is composed of pre-network , network and post-network processing stages. At the pre-network stage, gray level images of beef cuts were segmented and resized to be adequate to the network input. Features such as fat and bone were enhanced and the enhanced input image was converted tot he grid pattern image, whose grid was formed as 4 X4 pixel size. at the network stage, the normalized gray value of each grid image was taken as the network input. Th pre-trained network generated the grid image output of the isolated lean tissue. A training scheme of the network and the separating performance were presented and analyzed. The developed hybrid system showed the feasibility of the human like robust object segmentation and contour generation for the complex , fuzzy and irregular image.

• Convergence Security Journal
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• v.5 no.1
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• pp.35-43
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• 2005

It is need to control network access that a user personally change own IP or network devices in managing network address. Also, When we use new network devices or assign network address, we do them by design, not arbitrarily. And then, we can immediately control network's problems. It could be used network management and security in low level. But most of managers do this works by hand not automatically. This paper propose the solutions that improve the security by network address authentication in VLAN environment, such as corporations and public offices.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.9
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• pp.2573-2589
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• 2023

As 5G mobile systems carry multiple services and applications, numerous user, and application types with varying quality of service requirements inside a single physical network infrastructure are the primary problem in constructing 5G networks. Radio Access Network (RAN) slicing is introduced as a way to solve these challenges. This research focuses on optimizing RAN slices within a singular physical cell for vehicle-to-everything (V2X) and enhanced mobile broadband (eMBB) UEs, highlighting the importance of adept resource management and allocation for the evolving landscape of 5G services. We put forth two unique strategies: one being offline network slicing, also referred to as standard network slicing, and the other being Online reinforcement learning (RL) network slicing. Both strategies aim to maximize network efficiency by gathering network model characteristics and augmenting radio resources for eMBB and V2X UEs. When compared to traditional network slicing, RL network slicing shows greater performance in the allocation and utilization of UE resources. These steps are taken to adapt to fluctuating traffic loads using RL strategies, with the ultimate objective of bolstering the efficiency of generic 5G services.

• The KIPS Transactions:PartD
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• v.12D no.2 s.98
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• pp.319-326
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• 2005

Recently, the information appliance devices integrating information technology, appliance technology, and communication technology are appeared in home. And this environment requires that the monitoring technology should include the interaction and the real-time controlling among these devices using home network. In this paper, we implemented the active objects for information appliances by applying the Time-triggered Message-triggered Object(TMO) scheme supporting real-time service. Based on distributed real-time services supporting platform using the TMO Support Middleware(TMOSM), we also constructed the real-time information appliance controlling simulator supporting the remote controlling and monitoring service among active objects. The information appliance devices implemented by the TMO scheme can exchange the housing information by autonomous triggering. And we can conveniently reconfigure the executing environment for information appliances when new devices were inserted. For constructing the simulator on the distributed real-time service supporting platform, we described the functions of the active TMOs for information appliances that execute the temperature management, the illuminance management, and the time management controlling services, and designed the remote interaction among them. Finally, by implementing the simulating environment of information appliance devices on distributed platform, we showed whether the procedures of the real-time controlling and the monitoring service for the active objects of information appliances corresponding to physical devices are processed in given executing conditions correctly.

• KIISE Transactions on Computing Practices
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• v.23 no.4
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• pp.262-267
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• 2017

RTEMS is a real-time operating system using a GPLv2-based license, and is used in the aerospace industry, such as satellites. It is difficult to build a development environment for these special-purpose systems because of problems related to the hardware platform. This can be resolved by applying virtualization technology. However, increased execution time and performance degradation due to virtualization overhead can change timing behavior of real-time application, and needs to be minimized. In this paper, we aim to implement the network device driver of RTEMS for the standardized virtual network device called virtio in order to effectively utilize RTEMS in a virtualized environment. In addition, we describe the process of submitting implemented driver to the RTEMS community for contributing open source software and reflecting the various requirements of the community.

• Journal of Korea Multimedia Society
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• v.15 no.6
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• pp.814-826
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• 2012

In this paper, we propose scheduling algorithms for transporting variable-bit-rate video stream using playback buffer level of the clients over wireless communication networks. The proposed algorithms attempt to maximize the utilization of limited bandwidth between the central video server and the clients over a mobile network. Since a video server may serve several video request at the same time, it is important to allocate and utilize network bandwidth to serve them fairly and efficiently. In order to improve the quality of service and real-time performance of individual video playback, the video server attempts to allocate temporarily more network bandwidth to serve a video request with the lower buffer level preferentially. The simulation results prove the fair service and load balancing among the mobile concurrent clients with different buffer levels and hence maximizing the number of frames that are transported successfully to the client prior to their playback times.

• Journal of Biomedical Engineering Research
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• v.27 no.5
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• pp.274-281
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• 2006

In this paper, we propose a ubiquitous $SaO_2$ monitoring system for patients using oxygen therapy. For these patients, the ability to monitor oxygen saturation ubiquitously is very important fur accurate adjustment of ventilator's flow rate to match the patient's time-varying requirements with the shortest lag time possible. We have developed a portable device to measure $SaO_2$ and transmit it to hospital in real-time or in store-and-forward mode through the integration of $Bluetooth^{TM}$ technology and the code division multiple access (CDMA) cellular network. We also developed software for doctors to receive and manage the patients' $SaO_2$ information. Performance of the developed system was evaluated as acceptable by assessing the accuracy of the measured oxygen saturation value and the stability of communication network. Test results in real clinical setting demonstrate that our system is feasible for immediate use in home oxygen therapy.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.38-39
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• 2007

Recently, utility network is becoming more and more complicated and huge due to IT(Information Technology) and OA(Office Automation) devices. In addition to, demands of power conversion devices which have non-linear switching devices are getting more and more increased. Voltage sag from sudden increasing loads is also one of the major problems inside of the utility network. In order to compensate the voltage sag problem, power compensation devices systems could be a good solution method. In case of voltage sag, it needs an energy source to overcome the energy caused by voltage sag. Superconducting Magnet Energy Storage (SMES) is a very good promising source due to the high response time of charge and discharge. This paper presents a real-time simulation algorithm for the SMES by using Real Time Digital Simulator (RTDS). With this algorithm users can easily do the simulation of utility power network applied by SMES system with the SMES coil modeled in RTDS.