• Title/Summary/Keyword: Communication Failure Rate

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A Study on Optimizing Disk Utilization of Software-Defined Storage (소프트웨어 정의 스토리지의 디스크 이용을 최적화하는 방법에 관한 연구)

  • Lee Jung Il;Choi YoonA;Park Ju Eun;Jang, Minyoung
    • KIPS Transactions on Computer and Communication Systems
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    • v.12 no.4
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    • pp.135-142
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    • 2023
  • Recently, many companies are using public cloud services or building their own data center because digital transformation is expanding. The software-defined storage is a key solution for storing data on the cloud platform and its use is expanding worldwide. Software-defined storage has the advantage of being able to virtualize and use all storage resources as a single storage device and supporting flexible scale-out. On the other hand, since the size of an object is variable, an imbalance occurs in the use of the disk and may cause a failure. In this study, a method of redistributing objects by optimizing disk weights based on storage state information was proposed to solve the imbalance problem of disk use, and the experimental results were presented. As a result of the experiment, it was confirmed that the maximum utilization rate of the disk decreased by 10% from 89% to 79%. Failures can be prevented, and more data can be stored by optimizing the use of disk.

Spine Computed Tomography to Magnetic Resonance Image Synthesis Using Generative Adversarial Networks : A Preliminary Study

  • Lee, Jung Hwan;Han, In Ho;Kim, Dong Hwan;Yu, Seunghan;Lee, In Sook;Song, You Seon;Joo, Seongsu;Jin, Cheng-Bin;Kim, Hakil
    • Journal of Korean Neurosurgical Society
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    • v.63 no.3
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    • pp.386-396
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    • 2020
  • Objective : To generate synthetic spine magnetic resonance (MR) images from spine computed tomography (CT) using generative adversarial networks (GANs), as well as to determine the similarities between synthesized and real MR images. Methods : GANs were trained to transform spine CT image slices into spine magnetic resonance T2 weighted (MRT2) axial image slices by combining adversarial loss and voxel-wise loss. Experiments were performed using 280 pairs of lumbar spine CT scans and MRT2 images. The MRT2 images were then synthesized from 15 other spine CT scans. To evaluate whether the synthetic MR images were realistic, two radiologists, two spine surgeons, and two residents blindly classified the real and synthetic MRT2 images. Two experienced radiologists then evaluated the similarities between subdivisions of the real and synthetic MRT2 images. Quantitative analysis of the synthetic MRT2 images was performed using the mean absolute error (MAE) and peak signal-to-noise ratio (PSNR). Results : The mean overall similarity of the synthetic MRT2 images evaluated by radiologists was 80.2%. In the blind classification of the real MRT2 images, the failure rate ranged from 0% to 40%. The MAE value of each image ranged from 13.75 to 34.24 pixels (mean, 21.19 pixels), and the PSNR of each image ranged from 61.96 to 68.16 dB (mean, 64.92 dB). Conclusion : This was the first study to apply GANs to synthesize spine MR images from CT images. Despite the small dataset of 280 pairs, the synthetic MR images were relatively well implemented. Synthesis of medical images using GANs is a new paradigm of artificial intelligence application in medical imaging. We expect that synthesis of MR images from spine CT images using GANs will improve the diagnostic usefulness of CT. To better inform the clinical applications of this technique, further studies are needed involving a large dataset, a variety of pathologies, and other MR sequence of the lumbar spine.

A Study on the Rollover Behavior of SUV and Collision Velocity Prediction using PC-Crash Program (PC-Crash를 이용한 SUV의 전복사고 거동 및 충돌속도 예측에 관한 연구)

  • Choi, Yong-Soon;Baek, Se-Ryong;Jung, Jong-Kil;Cho, Jeong-Kwon;Yoon, Jun-Kyu
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.2
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    • pp.227-235
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    • 2018
  • Along with the recent increase in traffic volume of vehicles, accidents involving rollover of vehicles have been rapidly increased, resulting in an increase casualties. And to prevent this, various technologies such as vehicle crash test equipment and analysis program development have been advanced. In this study, the applied vehicle model is FORD EXPLORER model, and PC-Crash program for vehicle collision analysis is used to predict the rollover accident behavior of SUV and the collision velocity. Compared with the actual rollover behavior of SUV through the FMVSS No 208 regulations, the analysis results showed similar results, the characteristics of the collision velocity and roll angle showed a tendency that the error rate slightly increased after 1000 msec. Then, as a result of considering using the database of NHTSA, it is shown that the rollover accident occur most frequently in the range of the collision velocity of 15~77 km/h and the collision angle of $22{\sim}74^{\circ}$. And it is possible to estimate the vehicle speed and collision time when the vehicle roof is broken by reconstructing the vehicle starting position, the roof failure position and the stop position by applying the actual accident case.

A New Dual Connective Network Resource Allocation Scheme Using Two Bargaining Solution (이중 협상 해법을 이용한 새로운 다중 접속 네트워크에서 자원 할당 기법)

  • Chon, Woo Sun;Kim, Sung Wook
    • KIPS Transactions on Computer and Communication Systems
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    • v.10 no.8
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    • pp.215-222
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    • 2021
  • In order to alleviate the limited resource problem and interference problem in cellular networks, the dual connectivity technology has been introduced with the cooperation of small cell base stations. In this paper, we design a new efficient and fair resource allocation scheme for the dual connectivity technology. Based on two different bargaining solutions - Generalizing Tempered Aspiration bargaining solution and Gupta and Livne bargaining solution, we develop a two-stage radio resource allocation method. At the first stage, radio resource is divided into two groups, such as real-time and non-real-time data services, by using the Generalizing Tempered Aspiration bargaining solution. At the second stage, the minimum request processing speeds for users in both groups are guaranteed by using the Gupta and Livne bargaining solution. These two-step approach can allocate the 5G radio resource sequentially while maximizing the network system performance. Finally, the performance evaluation confirms that the proposed scheme can get a better performance than other existing protocols in terms of overall system throughput, fairness, and communication failure rate according to an increase in service requests.

Lightning Protection System of Solar Power Generation Device (태양광발전장치의 낙뢰보호 시스템)

  • Yongho Yoon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.2
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    • pp.157-162
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    • 2023
  • Among the failures of photovoltaic power generation facilities, failures caused by surges account for 20% of the total failure rate, and energy emissions of tens to hundreds [A] during power generation and electrical damage to inverters and connection boards lead to electrical safety accidents. In particular, in the case of lightning, an abnormal voltage is induced in an electric circuit to destroy insulation, and the current flowing at this time causes a fire and acts as a factor that accelerates the deterioration of parts. Due to this action, the problem of electrical safety of solar power generation devices spreading from outside the city center to the inside of the city center such as houses, apartments, and government offices is emerging. Since lightning strikes cause both field-based and conducted electrical interference, this effect increases with increasing cable length or conductor loops. In addition, surge damages not only solar modules, inverters and monitoring devices, but also building facilities, which can eventually cause operational shutdown due to fire of the photovoltaic power generation system and consequent financial loss. Therefore, in this paper, a lightning protection system for solar power generation devices is studied for the purpose of reducing property damage and human casualties due to the increase in fire and electrical safety accidents caused by lightning strikes in photovoltaic power generation systems.

Hybrid Offloading Technique Based on Auction Theory and Reinforcement Learning in MEC Industrial IoT Environment (MEC 산업용 IoT 환경에서 경매 이론과 강화 학습 기반의 하이브리드 오프로딩 기법)

  • Bae Hyeon Ji;Kim Sung Wook
    • KIPS Transactions on Computer and Communication Systems
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    • v.12 no.9
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    • pp.263-272
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    • 2023
  • Industrial Internet of Things (IIoT) is an important factor in increasing production efficiency in industrial sectors, along with data collection, exchange and analysis through large-scale connectivity. However, as traffic increases explosively due to the recent spread of IIoT, an allocation method that can efficiently process traffic is required. In this thesis, I propose a two-stage task offloading decision method to increase successful task throughput in an IIoT environment. In addition, I consider a hybrid offloading system that can offload compute-intensive tasks to a mobile edge computing server via a cellular link or to a nearby IIoT device via a Device to Device (D2D) link. The first stage is to design an incentive mechanism to prevent devices participating in task offloading from acting selfishly and giving difficulties in improving task throughput. Among the mechanism design, McAfee's mechanism is used to control the selfish behavior of the devices that process the task and to increase the overall system throughput. After that, in stage 2, I propose a multi-armed bandit (MAB)-based task offloading decision method in a non-stationary environment by considering the irregular movement of the IIoT device. Experimental results show that the proposed method can obtain better performance in terms of overall system throughput, communication failure rate and regret compared to other existing methods.

Interaction Contents for Reconsidering Visually Disabled Parents

  • Hong, Joo-Bong;Lee, Chan-Kyu;Lim, Chan
    • International journal of advanced smart convergence
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    • v.9 no.1
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    • pp.54-62
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    • 2020
  • According to the Ministry of Health and Welfare, "Status of Registered Persons with Disabilities", the number of people with disabilities is 2,494,460 as of 2015. The lowest rates of children with disabilities were intellectual disabilities (23%) and mental disorders (33.3%). The highest rates of screening were blindness (97%), heart failure (94.4%), and hearing impairment (92.7%). 65.2% of visually impaired people who have already had a disability at the time of marriage, and the remaining 34.8% can be thought to be the cause of high incidence of disability after marriage. 'SID (Seed in the Dark)' project was designed to recapture the visually impaired parent's desire for attachment and the space difficulties of the blind who want to be a normal parent to their children through a visual impairment of a father with 7-year-old daughter. Using Gear VR(Virtual Reality), the general public was able to feel the surroundings as if they had no vision and focused on the hearing. Especially, We expressed the sound wave visually and added the hilarious game element which grasps the terrain of the maze by sound wave like a 'blind person who perceives the surroundings by sound' and catches up with daughter. People with disabilities who are far from mental illness often have a form of family with children. The fact that the rate of childbirth is high means that there is relatively little problem in daily life. It is wondered that the rate of blindness among the visually impaired, which accounts for 10% of the total disabled, is the highest at 97%. This is because, in the case of the visually impaired, the obstacle is often caused by aging, accidents, or diseases due to inherited causes rather than the visual disorder. In particular, However, the fact that there is an obstacle in vision that accounts for 83% of the body's sensory organs causes other difficulties in the nursing process of children who are non-disabled. Parents do not know the face of child when their visual impairment is severe. Parents are extremely anxious about worry that they will be lost or abducted if their children are not by their side. And that the child recognizes the disability of his or her parents other than the other parents easily and takes it as a deficiency. Since visually impaired parents are mentally mature parents with non-disabled people, they may want their children not to feel deprived of their disability. The number of people with visual impairments has been increasing since 2001, and people with impairments often become disabled. In addition, there is much research on the problem of nondisabled parents who have children with disabilities, while there is relatively little interest and research on the problem of nondisabled child rearing of parents with disabilities.

Mobility Support Scheme Based on Machine Learning in Industrial Wireless Sensor Network (산업용 무선 센서 네트워크에서의 기계학습 기반 이동성 지원 방안)

  • Kim, Sangdae;Kim, Cheonyong;Cho, Hyunchong;Jung, Kwansoo;Oh, Seungmin
    • KIPS Transactions on Computer and Communication Systems
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    • v.9 no.11
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    • pp.256-264
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    • 2020
  • Industrial Wireless Sensor Networks (IWSNs) is exploited to achieve various objectives such as improving productivity and reducing cost in the diversity of industrial application, and it has requirements such as low-delay and high reliability packet transmission. To accomplish the requirement, the network manager performs graph construction and resource allocation about network topology, and determines the transmission cycle and path of each node in advance. However, this network management scheme cannot treat mobile devices that cause continuous topology changes because graph reconstruction and resource reallocation should be performed as network topology changes. That is, despite the growing need of mobile devices in many industries, existing scheme cannot adequately respond to path failure caused by movement of mobile device and packet loss in the process of path recovery. To solve this problem, a network management scheme is required to prevent packet loss caused by mobile devices. Thus, we analyse the location and movement cycle of mobile devices over time using machine learning for predicting the mobility pattern. In the proposed scheme, the network manager could prevent the problems caused by mobile devices through performing graph construction and resource allocation for the predicted network topology based on the movement pattern. Performance evaluation results show a prediction rate of about 86% compared with actual movement pattern, and a higher packet delivery ratio and a lower resource share compared to existing scheme.

Identifying the Usefulness of Weblog Genre Analysis in Organizational knowledge Creation: A Social Construction of Technology Perspective (조직내 지식창출을 위한 웹블로그 장르분석의 유용성 발굴: 기술의 사회구성론적 관점)

  • Park, Ji-Hong
    • Journal of the Korean Society for information Management
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    • v.25 no.1
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    • pp.5-17
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    • 2008
  • The purpose of this paper is to identify the usefulness of Weblog genre analysis in knowledge creation within an organization where communications are occurred frequently among the employees with information and communication technologies (ICTs). Knowledge creation is essential to achieve competitive advantage in today's knowledge-oriented working environments. There has been huge investment on knowledge management systems to achieve such advantages. It is, however, widely recognized that distributed knowledge management systems often fail due to the different social contexts across the sub-organizations where the local information systems are deployed. It is important to coordinate such social gaps across the sub-organizations to achieve better advantages. Given that Weblogs users often feel a shared social norm. Weblogs playa positive role of narrowing the social gaps. This paper argues that the genre analysis of Web logs could provide important clues to narrow the social gaps existed across the sub-organizations within an organization. Hence, such taxonomical practice may be a solution for the high rate of failure in knowledge management system implementations in an organization. This paper uses the theory of organizational knowledge creation (Nonaka & Takeuchi. 1995) and social construction of technology (SCOT) approach (Bijker, 1995) to compare the socialized with the non-socialized integration of distributed information systems. The findings of this research provide a useful framework for better implementing knowledge management practices especially in distributed working environments.

Feasibility Study on Integration of SSR Correction into Network RTK to Provide More Robust Service

  • Lim, Cheol-Soon;Park, Byungwoon;Kim, Dong-Uk;Kee, Chang-Don;Park, Kwan-Dong;Seo, Seungwoo;So, Hyoungmin;Park, Junpyo
    • Journal of Positioning, Navigation, and Timing
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    • v.7 no.4
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    • pp.295-305
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    • 2018
  • Network RTK is a highly practical technology that can provide high positioning accuracy at levels between cm~dm regardless of user location in the network by extending the available range of RTK using reference station network. In particular, unlike other carrier-based positioning techniques such as PPP, users are able to acquire high-accuracy positions within a short initialization time of a few or tens of seconds, which increases its value as a future navigation system. However, corrections must be continuously received to maintain a high level of positioning accuracy, and when a time delay of more than 30 seconds occurs, the accuracy may be reduced to the code-based positioning level of meters. In case of SSR, which is currently in the process of standardization for PPP service, the corrections by each error source are transmitted in different transmission intervals, and the rate of change of each correction is transmitted together to compensate the time delay. Using these features of SSR correction is expected to reduce the performance degradation even if users do not receive the network RTK corrections for more than 30 seconds. In this paper, the simulation data were generated from 5 domestic reference stations in Gunwi, Yeongdoek, Daegu, Gimcheon, and Yecheon, and the network RTK and SSR corrections were generated for the corresponding data and applied to the simulation data from Cheongsong reference station, assumed as the user. As a result of the experiment assuming 30 seconds of missing data, the positioning performance compensating for time delay by SSR was analyzed to be horizontal RMS (about 5 cm) and vertical RMS (about 8 cm), and the 95% error was 8.7 cm horizontal and 1cm vertical. This is a significant amount when compared to the horizontal and vertical RMS of 0.3 cm and 0.6 cm, respectively, for Network RTK without time delay for the same data, but is considerably smaller compared to the 0.5 ~ 1 m accuracy level of DGPS or SBAS. Therefore, maintaining Network RTK mode using SSR rather than switching to code-based DGPS or SBAS mode due to failure to receive the network RTK corrections for 30 seconds is considered to be favorable in terms of maintaining position accuracy and recovering performance by quickly resolving the integer ambiguity when the communication channel is recovered.