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Implementation of AWS-based deep learning platform using streaming server and performance comparison experiment (스트리밍 서버를 이용한 AWS 기반의 딥러닝 플랫폼 구현과 성능 비교 실험)

  • Yun, Pil-Sang;Kim, Do-Yun;Jeong, Gu-Min
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.12 no.6
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    • pp.591-596
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    • 2019
  • In this paper, we implemented a deep learning operation structure with less influence of local PC performance. In general, the deep learning model has a large amount of computation and is heavily influenced by the performance of the processing PC. In this paper, we implemented deep learning operation using AWS and streaming server to reduce this limitation. First, deep learning operations were performed on AWS so that deep learning operation would work even if the performance of the local PC decreased. However, with AWS, the output is less real-time relative to the input when computed. Second, we use streaming server to increase the real-time of deep learning model. If the streaming server is not used, the real-time performance is poor because the images must be processed one by one or by stacking the images. We used the YOLO v3 model as a deep learning model for performance comparison experiments, and compared the performance of local PCs with instances of AWS and GTX1080, a high-performance GPU. The simulation results show that the test time per image is 0.023444 seconds when using the p3 instance of AWS, which is similar to the test time per image of 0.027099 seconds on a local PC with the high-performance GPU GTX1080.

Determine Optimal Timing for Out-Licensing of New Drugs in the Aspect of Biotech (신약의 기술이전 최적시기 결정 문제 - 바이오텍의 측면에서)

  • Na, Byungsoo;Kim, Jaeyoung
    • Knowledge Management Research
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    • v.21 no.3
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    • pp.105-121
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    • 2020
  • With regard to the development of new drugs, what is most important for a Korean Biotech, where no global sales network has been established, is decision-making related to out-licensing of new drugs. The probability of success for each clinical phase is different, and the licensing amount and its royalty vary depending on which clinical phase the licensing contract is made. Due to the nature of such a licensing contract and Biotech's weak financial status, it is a very important decision-making issue for a Biotech to determine when to license out to a Big Pharma. This study defined a model called 'optimal timing for out-licensing of new drugs' and the results were derived from the decision tree analysis. As a case study, we applied to a Biotech in Korea, which is conducting FDA global clinical trials for a first-in-class new drug. Assuming that the market size and expected market penetration rate of the target disease are known, it has been shown that out-licensing after phase 1 or phase 2 of clinical trials is a best alternative that maximizes Biotech's profits. This study can provide a conceptual framework for the use of management science methodologies in pharmaceutical fields, thus laying the foundation for knowledge and research on out-licensing of new drugs.

Energy Efficient Clustering Algorithm for Surveillance and Reconnaissance Applications in Wireless Sensor Networks (무선 센서 네트워크에서 에너지 효율적인 감시·정찰 응용의 클러스터링 알고리즘 연구)

  • Kong, Joon-Ik;Lee, Jae-Ho;Kang, Jiheon;Eom, Doo-Seop
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37C no.11
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    • pp.1170-1181
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    • 2012
  • Wireless Sensor Networks(WSNs) are used in diverse applications. In general, sensor nodes that are easily deployed on specific areas have many resource constrains such as battery power, memory sizes, MCUs, RFs and so on. Hence, first of all, the efficient energy consumption is strongly required in WSNs. In terms of event states, event-driven deliverly model (i.e. surveillance and reconnaissance applications) has several characteristics. On the basis of such a model, clustering algorithms can be mostly used to manage sensor nodes' energy efficiently owing to the advantages of data aggregations. Since a specific node collects packets from its child nodes in a network topology and aggregates them into one packet to relay them once, amount of transmitted packets to a sink node can be reduced. However, most clustering algorithms have been designed without considering can be reduced. However, most clustering algorithms have been designed without considering characteristics of event-driven deliverly model, which results in some problems. In this paper, we propose enhanced clustering algorithms regarding with both targets' movement and energy efficiency in order for applications of surveillance and reconnaissance. These algorithms form some clusters to contend locally between nodes, which have already detected certain targets, by using a method which called CHEW (Cluster Head Election Window). Therefore, our proposed algorithms enable to reduce not only the cost of cluster maintenance, but also energy consumption. In conclusion, we analyze traces of the clusters' movements according to targets' locations, evaluate the traces' results and we compare our algorithms with others through simulations. Finally, we verify our algorithms use power energy efficiently.

Investigation on Economical Feasibility for Energy Business of Waste Water Sludge Discharged in 'A' Industrial Complex (A-산업단지 발생 슬러지의 에너지화를 위한 경제성 검토)

  • Byun, Jung-Joo;Lee, Kang-Soo;Phae, Chae-Gun
    • Journal of the Korea Organic Resources Recycling Association
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    • v.20 no.4
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    • pp.61-74
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    • 2012
  • Industrial complexes in Korea have been vigorously established by economic development plan and development policy of industry in 1960s. Recently, Korean government has promoted Eco Industrial Park (EIP) project to recycle by-products and wastes in industrial park In this study, we analyzed the physical and chemical properties for the sludges discharged from A industrial complex. And we investigated the economic feasibility and environmental impact of sludge to energy facilities. The analysis results indicated that the petrochemical industry were 92% in sludge production, the highest treatment amount was landfill, followed by incineration and recycling and then ocean disposal. Wastewater sludge and process sludge samples are collected and analyzed to use as basic data on economic feasibility and environmental impact. Weighted average heating value of sludge samples was 3,891kcal/kg. Based on this data, installation and operation costs, operation returns of operating the drying facility are estimated, compared with cogeneration facility. And this study examines how the payback period of each simulation(total 8 case) with the important parameter changes. As a result, it was found that what needs the shortest payback period is 3years with connection of drying facility and cogeneration facility based on the government's financial subsidy system.

Evaluation on Safety of Two-bed Therapy Rooms (2인용 치료병실 안전성 평가)

  • Lee, Kyung-Jae;Cho, Hyun-Duck;Oh, Chang-Bum;Ko, Kil-Man;Park, Young-Jae;Lee, In-Won;Ahn, Hee-Yong
    • The Korean Journal of Nuclear Medicine Technology
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    • v.15 no.1
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    • pp.75-80
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    • 2011
  • Purpose: Europe and U.S use multi-bed therapy rooms. Hereupon, this study aims to examine the safety when current one-bed therapy rooms in Seoul National University Hospital is changed into two-bed ones. Materials and Methods: This study evaluated external exposure by gamma radiation emitted from other patients and internal and external exposure caused by pollutions from other patients in case that Seoul National University Hospital installs a shielding wall between beds in existing therapy rooms. Results: When internal and external exposure was evaluated to evaluate safety of two-bed hospital rooms, 'isolation amount of patients' 5mSv exposure or below is received according to the Atomic Energy Act. Conclusion: With the increasing number of patients with thyoid cancer, patients using therapy rooms are on the rise. Therefore, improving one-person therapy rooms to two-person ones in line with international trend would increase cost reduction and management efficiency, and patients' alienation and isolation can be reduced to increase healing effects.

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Effects of Yeast Growth Inhibiting and Yogurt Quality Improving with Lactobacillus paracasei and Lactobacillus rhamnosus (Lactobacillus paracasei와 Lactobacillus rhamnosus를 이용한 요구르트의 효모 성장 억제와 품질 향상 효과)

  • Kim, Chul-Hong;Nam, Myoung Soo
    • Journal of Life Science
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    • v.26 no.12
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    • pp.1438-1445
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    • 2016
  • Yeast can be post-contaminated by the equipment, producer, or air, and this can degrade yogurt quality. This study aimed to demonstrate the yeast inhibiting effect in fermented milk by adding Lactobacillus paracasei and Lactobacillus rhamnosus along with current fermenting lactic acid bacteria such as Lactobacillus delbrueckii subsp. bulgaricus and Streptococcus thermophilus. A certain amount of yeast was added to fermented milk samples that were soon after stored at variable temperatures, and the number of yeast cells was counted periodically. The swelling phenomenon caused by the gas produced by the yeast in fermented products was also observed. In the two experiments, compared to the control, the L. paracasei- and L. rhamnosus-added-groups showed much slower rate of yeast appearance and lower frequency of swelling phenomena. This suggests that using a mixture of L. paracasei and L. rhamnosus in fermented milk inhibits the growth of yeast. Furthermore, if the products are stored at $10^{\circ}C$, post-acidification is rarely seen in the experimental group compared to the control group. This means that the organoleptic flavor can be kept consistent from the production day till the expiration day, resulting in improved organoleptic quality for customers. In other words, the use of L. paracasei and L. rhamnosus in fermented milk will result in the following positive effects: improvement in storage stability by delaying yeast appearance, increase in quality consistency by inhibiting post-acidification, and improved organoleptic quality by enhancing texture and flavor.

Evaluation of The Highway Design Speed Determination Process Using Case Studies (Reclassifying Functions and Terrain Types) (사례분석을 통한 도로설계속도 결정방법론 적용성 평가 (기능 재분류와 지형특성 이용))

  • Sim, Gwan-Bo;Choe, Jae-Seong
    • Journal of Korean Society of Transportation
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    • v.24 no.2 s.88
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    • pp.101-112
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    • 2006
  • Currently, highway design speed is determined by considering highway function, area type, and terrain type. Sometime it is pointed out that determining a reasonable design speed which is both efficient and safe is not an easy task and that Practicing engineers often select an unsuitable design speed on purpose, capitalizing on some ambiguous and discretionary expressions in describing the highway design speed. This undesirable Problem is arising mostly due to the fact, that the current geometric design standard fails to include rolling terrain type and can not reflect the whole characteristics of land use patterns adjacent to the design highway route. A recent research was Published considering this problem and it attempted to improve the highway design speed determining process. In this research Project, tn see the effects of this recently developed procedure, a new and reduced design speed was calculated based on the new Procedure and subsequently another highway design route was selected. The travel time. construction cost. and the expected degree of safety associated with the new route were assessed to be compared with the ones with the existing procedure. As a result. it was found that the new procedure was successful in reflecting the localities such as terrain type and area type into better determining highway design speed, eliminating much of highway engineers' discretion when applying engineering judgments. Also the new Procedure is keen to produce a more economical highway project. In other words, despite of producing reduced amount of user benefits accrued, in the new highway route, the construction cost has been cut significantly leading to higher values in B/C. NPV, and IRR. Also EMME-II output, which Provided the link assigned volumes, rendered only a slightly reduced Levels of Service along surrounding links in the study network. This reduction was believed to occur because of lower design speed and it had been expected from the beginning.

Analysis of Open Toll Segments in Urban Freeways (개방식고속도로 통행특성과 영업체계 전환분석)

  • Nam, Du-Hui
    • Journal of Korean Society of Transportation
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    • v.25 no.5
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    • pp.101-109
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    • 2007
  • Two variations of toll roads exist: mainline toll plazas and entry/exit tolls. On a mainline toll system(open toll scheme), all vehicles stop at various locations along the highway to pay a toll. While this may save money from the lack of need to construct tolls at every exit, it can cause lots of traffic congestion, and drivers could evade tolls by going around them. With entry/exit tolls, vehicles collect a ticket when entering the highway, which displays the fares it will pay when it exits, increasing in cost for distance travelled. Upon exit, the driver will pay the amount listed for the given exit. The pressures on the Seoul ring roadway network have been changing over time. In the past, the emphasis was on mobility and maintenance of the road network to provide an efficient transportation network, but recently, road use has outstripped the network's ability to extend and expand the road network and hence the policy emphasis has moved towards reducing free riders rather than mitigating its effects. In addition to this pressure is an incidental pressure, which argues that provision of free ride segments generates further traffic in isolation of other factors. This paper is examining policies to reduce the burden of traffic congestion in Seoul ring roadway which is used open toll scheme for decades. One key mechanism to achieve this policy aim is automatic charging mechanism on freeway, but if a nation-wide electronic toll collection is to be implemented successfully, there are a number of prerequisites which must be place.

The Dynamic Split Policy of the KDB-Tree in Moving Objects Databases (이동 객체 데이타베이스에서 KDB-tree의 동적 분할 정책)

  • Lim Duk-Sung;Lee Chang-Heun;Hong Bong-Hee
    • Journal of KIISE:Databases
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    • v.33 no.4
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    • pp.396-408
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    • 2006
  • Moving object databases manage a large amount of past location data which are accumulated as the time goes. To retrieve fast the past location of moving objects, we need index structures which consider features of moving objects. The KDB-tree has a good performance in processing range queries. Although we use the KDB-tree as an index structure for moving object databases, there has an over-split problem in the spatial domain since the feature of moving object databases is to increase the time domain. Because the over-split problem reduces spatial regions in the MBR of nodes inverse proportion to the number of splits, there has a problem that the cost for processing spatial-temporal range queries is increased. In this paper, we propose the dynamic split strategy of the KDB-tree to process efficiently the spatial-temporal range queries. The dynamic split strategy uses the space priority splitting method for choosing the split domain, the recent time splitting policy for splitting a point page to maximize the space utilization, and the last division policy for splitting a region page. We compare the performance of proposed dynamic split strategy with the 3DR-tree, the MV3R-tree, and the KDB-tree. In our performance study for range queries, the number of node access in the MKDB-tree is average 30% less than compared index structures.

Design and Implementation of Automatic Fan On/Off for Energy Saving (에너지 절감을 위한 선풍기 자동 ON/OFF 기능의 설계 및 구현)

  • Jang, Junewoo;Park, Seongjin;Ko, Hyeon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.5-8
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    • 2018
  • Recently, global warming and tropical nights have caused the use of electric fans to explode. Under these circumstances, running the fan for long periods of time is not only a risk of explosion due to overloading the power but also a small amount of electricity and environmental pollution. Therefore, the research was conducted to develop devices that automatically turn fans on and off according to room temperature, reducing the risk of explosion as well as saving energy. This study suggested that electric fans turn on and off automatically and display temperature in mobile applications. The ability to turn on and off allows the fan to turn on itself if the indoor temperature rises above a certain level. Conversely, if the indoor temperature drops below a certain level, the fan should be turned off. Second, the temperature display function checks indoor temperature through mobile applications. The automatic on/off capabilities proposed in this study could contribute to reducing the risk of explosion and saving energy. However, if the indoor temperature rises above a certain temperature even though there is no one inside, the fan can be turned on. The expectation from this study is that the ability of fans to operate and turn off at appropriate temperatures can reduce the risk of explosion, electrical charges, and environmental pollution.

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