• 제목/요약/키워드: Communication Broadcasting Convergence

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All-IP 네트워크에서 IPTV 트래픽 수용을 위한 최적의 설계 방안 연구 (A Study on the Optimal All-IP Network Design for Adopting IPTV Traffic)

  • 김형수;조성수;설순욱;전윤철
    • 한국정보통신설비학회:학술대회논문집
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    • 한국정보통신설비학회 2009년도 정보통신설비 학술대회
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    • pp.68-71
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    • 2009
  • All-IP network requires change of the existing IP network engineering methods as the convergence service market between communication and broadcasting industries using IP network is growing rapidly. Especially the video services like IPTV require more strict transmission quality and higher bandwidth than the existing data services. So it is difficult to design All-IP network by the over-provisioning method which used to be used for the existing IP network design. It also requires a heavy investment which becomes one of big obstacles to the IPTV service expansion. In order to reduce the investment costs, it is required to design an optimized network by maximizing the utilization of the network resources and at the same time maintaining the customer satisfaction in terms of service quality. In this paper, we first analyze the effects of IPTV traffic on the existing internet. Then we compare two traffic engineering technologies, which are dimensioning without admission control and dimensioning with admission control, on the All-IP network design by simulation. Finally, we suggest cost effectiveness of traffic engineering technologies for designing the All-IP network.

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Behavior recognition system based fog cloud computing

  • Lee, Seok-Woo;Lee, Jong-Yong;Jung, Kye-Dong
    • International journal of advanced smart convergence
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    • 제6권3호
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    • pp.29-37
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    • 2017
  • The current behavior recognition system don't match data formats between sensor data measured by user's sensor module or device. Therefore, it is necessary to support data processing, sharing and collaboration services between users and behavior recognition system in order to process sensor data of a large capacity, which is another formats. It is also necessary for real time interaction with users and behavior recognition system. To solve this problem, we propose fog cloud based behavior recognition system for human body sensor data processing. Fog cloud based behavior recognition system solve data standard formats in DbaaS (Database as a System) cloud by servicing fog cloud to solve heterogeneity of sensor data measured in user's sensor module or device. In addition, by placing fog cloud between users and cloud, proximity between users and servers is increased, allowing for real time interaction. Based on this, we propose behavior recognition system for user's behavior recognition and service to observers in collaborative environment. Based on the proposed system, it solves the problem of servers overload due to large sensor data and the inability of real time interaction due to non-proximity between users and servers. This shows the process of delivering behavior recognition services that are consistent and capable of real time interaction.

Automatic blood pressure measurement device using oscillometric method and Korotkoff sounds

  • Wei, Ran;Lim, Young Chul;Im, Jae Joong
    • International journal of advanced smart convergence
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    • 제1권2호
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    • pp.20-25
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    • 2012
  • The oscillometric method and Korotkoff sound method are the most common ways to measure the blood pressure. A new automatic blood pressure measurement device, which uses both oscillometric method and Korotkoff method, was developed. A pressure sensor was used to obtain cuff pressure and oscillation signal, and a microphone was used to detect Korotkoff sounds. Forty-five measurements from fifteen subjects were used for analysis. Correlation coefficients between the traditional auscultatory method and Korotkoff sound method were 0.9820 and 0.9721 for the systolic and diastolic blood pressure values, respectively. Standard deviations of differences for the systolic and diastolic blood pressure values were 1.3019 and 1.4495, respectively. Correspondingly, correlation coefficients between the traditional auscultatory method and oscillometric method using newly developed algorithm were 0.9651 and 0.9136 for the systolic and diastolic blood pressure values, with the standard deviations of 1.42 and 1.73, respectively. The results showed that the newly developed algorithm for oscillometirc method provide accurate blood pressure values, moreover, Korotkoff sound method using microphone provides even higher accuracy. Therefore, a new automatic device which utilizes both oscillometric method and Korotkoff sound method would provide the accurate and reliable blood pressure values.

Addressing Concurrency Design for HealthCare Web Service Gateway in Remote Healthcare Monitoring System

  • Nkenyereye, Lionel;Jang, Jong-Wook
    • International journal of advanced smart convergence
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    • 제5권3호
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    • pp.32-39
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    • 2016
  • With the help of a small wearable device, patients reside in an isolated village need constant monitoring which may increase access to care and decrease healthcare delivery cost. As the number of patients' requests increases in simultaneously manner, the web service gateway located in the village hall encounters limitations for performing them successfully and concurrently. The gateway based RESTful technology responsible for handling patients' requests attests an internet latency in case a large number of them submit toward the gateway increases. In this paper, we propose the design tasks of the web service gateway for handling concurrency events. In the procedure of designing tasks, concurrency is best understood by employing multiple levels of abstraction. The way that is eminently to accomplish concurrency is to build an object-oriented environment with support for messages passing between concurrent objects. We also investigate the performance of event-driven architecture for building web service gateway using node.js. The experiments results show that server-side JavaScript with Node.js and MongoDB as database is 40% faster than Apache Sling. With Node.js developers can build a high-performance, asynchronous, event-driven healthcare hub server to handle an increasing number of concurrent connections for Remote Healthcare Monitoring System in an isolated village with no access to local medical care.

A Study of Time Synchronization Methods for IoT Network Nodes

  • Yoo, Sung Geun;Park, Sangil;Lee, Won-Young
    • International journal of advanced smart convergence
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    • 제9권1호
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    • pp.109-112
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    • 2020
  • Many devices are connected on the internet to give functionalities for interconnected services. In 2020', The number of devices connected to the internet will be reached 5.8 billion. Moreover, many connected service provider such as Google and Amazon, suggests edge computing and mesh networks to cope with this situation which the many devices completely connected on their networks. This paper introduces the current state of the introduction of the wireless mesh network and edge cloud in order to efficiently manage a large number of nodes in the exploding Internet of Things (IoT) network and introduces the existing Network Time Protocol (NTP). On the basis of this, we propose a relatively accurate time synchronization method, especially in heterogeneous mesh networks. Using this NTP, multiple time coordinators can be placed in a mesh network to find the delay error using the average delay time and the delay time of the time coordinator. Therefore, accurate time can be synchronized when implementing IoT, remote metering, and real-time media streaming using IoT mesh network.

Semi-Supervised Learning Based Anomaly Detection for License Plate OCR in Real Time Video

  • Kim, Bada;Heo, Junyoung
    • International journal of advanced smart convergence
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    • 제9권1호
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    • pp.113-120
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    • 2020
  • Recently, the license plate OCR system has been commercialized in a variety of fields and preferred utilizing low-cost embedded systems using only cameras. This system has a high recognition rate of about 98% or more for the environments such as parking lots where non-vehicle is restricted; however, the environments where non-vehicle objects are not restricted, the recognition rate is about 50% to 70%. This low performance is due to the changes in the environment by non-vehicle objects in real-time situations that occur anomaly data which is similar to the license plates. In this paper, we implement the appropriate anomaly detection based on semi-supervised learning for the license plate OCR system in the real-time environment where the appearance of non-vehicle objects is not restricted. In the experiment, we compare systems which anomaly detection is not implemented in the preceding research with the proposed system in this paper. As a result, the systems which anomaly detection is not implemented had a recognition rate of 77%; however, the systems with the semi-supervised learning based on anomaly detection had 88% of recognition rate. Using the techniques of anomaly detection based on the semi-supervised learning was effective in detecting anomaly data and it was helpful to improve the recognition rate of real-time situations.

A Study on the Evolution of Social Service Policy : By the Path Dependence and Path Evolution

  • Chung, Sae Hee;Lim, Ahn Na
    • International journal of advanced smart convergence
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    • 제9권1호
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    • pp.47-53
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    • 2020
  • This study intended to analyze whether the system of voucher system, which was introduced as a policy tool to expand social services, was dependent or evolving through the research methodology of historical institutionalism. The voucher system is being introduced to emphasize the user's focus in the existing supplier-centered service provision system, but problems with the existing system have been found so far. We found that despite the shift in welfare paradigm from the remaining welfare supply to universal welfare in the past, the company was partially following the existing supplier-centered social service system. However, We found that new instruments for establishing legal systems and the path evolution factors are now being developed and matured within the voucher system. In other words, it was possible to predict that the voucher system would become more positive and mature in the future through logical changes in the system. Based on the results of the analysis of the voucher system, policy suggestions for policy values and objectives that were initially oriented toward the system were presented.

A Study of Product Design using Recycled Materials

  • Kim, Kwan-Bae;Chung, Do-Seung;Jang, Jung-Sik
    • International journal of advanced smart convergence
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    • 제9권1호
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    • pp.70-81
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    • 2020
  • Plastics that we use and simply throw away have a life span of about 500 years and barely decompose. The practice of producing and using common plastics needs to be challenged. Until now, they have been useful in the industrial structure of mass production, but it can be said that there is a lack of research into new materials to introduce and apply in terms of material recycling. As a result of this, we have come to the uncomfortable realization of the fact that we cannot incinerate or reuse these precious resources indiscriminately. No matter how well-designed a product is, it has a competitive advantage if production and consumption activities, waste, collection, sorting and treatment are considered in terms of a continuous cycle, and in this respect, Extended Producer Responsibility (EPR) can help. We are implementing the EPR system, and active industrialization in the field of recycling is required, which is also a challenge for producers to participate actively in recycling and seek to save and recycle resources in design and manufacturing. Against this backdrop, We would like to examine the possibilities, through various studies and developments on product design of recyclable materials, which is being conducted mainly in Europe. In particular, we would like to examine the methods, and value of solving environmental problems and the active efforts to achieve this in the design world, and in particular the case of product design using recycled plastics.

A Study on the Impact of Management's Strategic Leadership and Management Strategy on Organizational Performance: Focusing on Small and Medium Venture Companies

  • Kim, Moon Jun
    • International journal of advanced smart convergence
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    • 제9권1호
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    • pp.121-131
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    • 2020
  • We study empirically analyzes the relationship between the leadership styles and management strategies of executives perceived by members of small and medium venture companies through organizational performance through SPSS 24.0. The empirical results are as follows. First, the hypothesis that the strategic leadership of the one-level management team had a significant influence on the management strategy showed that strategic leadership (strategic direction, strategic control, maintaining effective organizational culture, ethical management, human resource development, competency development) The relationship between positive cost, strategy of differentiation, and strategy of concentration was positive. Second, the hypothesis 2 management strategy (cost advantage strategy, differentiation strategy, centralization strategy) was statistically significant for both organizational performance (financial performance and non-financial performance). Therefore, management strategy implemented by management acts as a factor to improve organizational performance. Therefore, the execution ability of management strategy should be strengthened. Third, hypothesis 3 (Strategic Direction, Strategic Control, Maintaining Effective Organizational Culture, Ethical Management, Human Resource Development, Competency Development) could be identified as an important role factor for financial and non-financial performance. The organizational performance of SMEs has been a key factor in the strategic leadership and management strategy implemented by management. Therefore, the establishment and implementation of various practical measures to upgrade this were continuously required.

Motor and Somato Sensory Evoked Potentials During Intraoperative Surveillance Testing in Patients with Diabetes

  • Lee, Kyuhyun;Kim, Jaekyung
    • International journal of advanced smart convergence
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    • 제9권1호
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    • pp.37-46
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    • 2020
  • Cerebral vascular surgery can damage patients' motor and sensory nerves; therefore, neuromonitoring is performed intraoperatively. Patients with diabetes often have peripheral neuropathy and may be prone to nerve damage during surgery. This study aimed to identify factors that should be considered when diabetic patients undergo intraoperative neuromonitoring during brain vascular surgery and to present new criteria. Methods: In patients with and without diabetes who underwent cerebrovascular surgery (n = 30/group), we compared the intraoperative stimulation intensity, postoperative motor power and sensory, glycated hemoglobin (HbA1c) and glucose levels, and imaging findings. Results: Fasting glucose, blood glucose, and HbA1c levels were 10%, 12.1%, and 9.7%, respectively; they were higher in patients with than in patients without diabetes. Two patients with diabetes had weakness, and 10 required increased Somato sensory evoked potential (SSEP) stimulation, while in 16, motor power recovered over time rather than immediately. The non-diabetic group had no weakness after surgery, but 10 patients required more increased SSEP stimulation. The diabetic group showed significantly more abnormal test results than the non-diabetic group. Conclusion: For patients with diabetes undergoing surgery with intraoperative neuromonitoring, whether diabetic peripheral neuropathy is present, their blood glucose level and the anesthetic used should be considered.