• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권11호
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• pp.4244-4274
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• 2021

The utilization of UAVs in various fields has led to the development of flying ad hoc network (FANET) technology. In a network environment with highly dynamic topology and frequent link changes, the traditional routing technology of FANET cannot satisfy the new communication demands. Traditional routing algorithm, based on geographic location, can "fall" into a routing hole. In view of this problem, we propose a geolocation routing protocol based on multi-agent reinforcement learning, which decreases the packet loss rate and routing cost of the routing protocol. The protocol views each node as an intelligent agent and evaluates the value of its neighbor nodes through the local information. In the value function, nodes consider information such as link quality, residual energy and queue length, which reduces the possibility of a routing hole. The protocol uses global rewards to enable individual nodes to collaborate in transmitting data. The performance of the protocol is experimentally analyzed for UAVs under extreme conditions such as topology changes and energy constraints. Simulation results show that our proposed QLGR-S protocol has advantages in performance parameters such as throughput, end-to-end delay, and energy consumption compared with the traditional GPSR protocol. QLGR-S provides more reliable connectivity for UAV networking technology, safeguards the communication requirements between UAVs, and further promotes the development of UAV technology.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권11호
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• pp.4065-4083
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• 2021

Super-resolution can improve the clarity of low-resolution (LR) images, which can increase the accuracy of high-level compute vision tasks. Portable devices have low computing power and storage performance. Large-scale neural network super-resolution methods are not suitable for portable devices. In order to save the computational cost and the number of parameters, Lightweight image processing method can improve the processing speed of portable devices. Therefore, we propose the Enhanced Information Multiple Distillation Network (EIMDN) to adapt lower delay and cost. The EIMDN takes feedback mechanism as the framework and obtains low level features through high level features. Further, we replace the feature extraction convolution operation in Information Multiple Distillation Block (IMDB), with Ghost module, and propose the Enhanced Information Multiple Distillation Block (EIMDB) to reduce the amount of calculation and the number of parameters. Finally, coordinate attention (CA) is used at the end of IMDB and EIMDB to enhance the important information extraction from Spaces and channels. Experimental results show that our proposed can achieve convergence faster with fewer parameters and computation, compared with other lightweight super-resolution methods. Under the condition of higher peak signal-to-noise ratio (PSNR) and higher structural similarity (SSIM), the performance of network reconstruction image texture and target contour is significantly improved.

• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제11권12호
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• pp.437-444
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• 2022

최근 무선 네트워크에서 발생하는 계산 집약적이고 지연시간에 민감한 태스크를 처리하기 위해 모바일 엣지 서비스에 대한 연구가 진행되고 있다. 하지만 지상에 고정되어 있는 MEC는 출퇴근 시간과 같이 태스크 처리 요청이 일시적으로 급증하는 상황에 대해 유연하게 대처할 수 없다. 이를 해결하기 위해 UAV(Unmanned Aerial Vehicle)를 추가로 이용해 모바일 엣지 서비스를 제공하는 기술이 등장하였다. UAV는 지상 MEC 서버와 달리 배터리 용량이 제한되어 있어 UAV MEC 서버 간 로드 밸런싱을 통해 에너지 효율성을 최적화 하는 것이 필요하다. 따라서 본 논문에서는 UAV의 에너지 상태와 차량의 이동성을 고려하며 유전 알고리즘 기반의 태스크 오프로딩과 Q-learning 기반의 태스크 마이그레이션을 통한 로드 밸런싱 기법을 제안한다. 제안 시스템의 성능을 평가하기 위해 차량 속도와 수에 따른 실험을 진행하고, 로드 분산, 에너지 사용량, 통신 오버헤드, 지연 시간 만족도 측면에서 성능을 분석하였다.

• Journal of Genetic Medicine
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• 제19권2호
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• pp.94-99
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• 2022

Lesch-Nyhan disease (LND) is a rare X-linked recessive inherited purine metabolic disorder that accompanies neurodevelopmental problems. Neurofibromatosis type 1 (NF1) is a relatively common autosomal dominant inherited genetic disorder characterized by tumors in various systems. Some children with NF1 also accompanies neurodevelopmental problems. Here, we describe a 5-year-old boy with a maternally inherited pathogenic variant in NF1 and hypoxanthine-guanine phosphoribosyltransferase (HPRT). He was referred for severe neurodevelopmental impairment and hyperuricemia. His mother was diagnosed with NF1 and the patient was also suspected of having NF1 because of cafe au lait macules. He had dystonia, rigidity, cognitive deficit, and speech/language impairment. Serum and urine uric acid concentrations were elevated. He had more severe neurodevelopmental delay than patients with only NF1, so his clinical symptoms could not be fully understood by the disease alone. To find the cause of his neurologic symptoms and hyperuricemia, the patient and his mother underwent a whole-exome sequencing test. As a result, the pathogenic variant c.151C>T (p.Arg51Ter) in HPRT1 was identified as hemizygote in the patient and heterozygote in his mother. The pathogenic variant c.7682C>G (p.Ser2561Ter) in NF-1 was identified as heterozygotes in both of them. Although the clinical symptoms of both diseases were overlapping and complicated, genetic testing was helpful for accurate diagnosis and treatment. Therefore, we suggest to consider preemptive genetic evaluation if there are symptoms not sufficiently explained by known existing diseases. And it is considered valuable to review this rare case to understand the clinical course and possible synergic effects of these diseases.

• 한국시뮬레이션학회논문지
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• 제19권3호
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• pp.1-6
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• 2010

MANET(Mobile Ad-hoc NETwork)은 실제 구현이나 동작과정에 많은 변수가 내재되어 있기 때문에 모델링 및 시뮬레이션 적용의 중요한 대상이 된다. MANET에서는 노드의 이동성으로 인해 다른 MANET과 중첩되거나 병합될 경우가 발생하며, 이 경우 다른 전달 방식을 가진 노드와의 통신을 위하여 새로운 경로 및 주소 설정이 선행되어야 한다. 이 과정은 새로 구성되는 네트워크에 있어서 오버헤드이기 때문에 이를 최소화하여 네트워크의 전달성능을 향상시킬 수 있도록 하기 위한 네트워크의 성능분석과 검증에 대한 연구가 필요하다. 본 논문에서는 오버헤드를 최소화할 수 있는 on-demand방식의 주소 자동설정 기법의 제안과, 제안한 기법의 타당성과 성능 검증을 위한 모델링 및 성능분석 내용을 제시하였다. NS-2에 의한 시뮬레이션은 기존의 방법에 비해 제안한 방법이 오버헤드를 줄이고 또한 시간적으로 분산되는 결과를 보였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권8호
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• pp.2140-2156
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• 2023

The Wireless Sensor Network (WSN), is constructed out of teeny-tiny sensor nodes that are very low-cost, have a low impact on the environment in terms of the amount of power they consume, and are able to successfully transmit data to the base station. The primary challenges that are presented by WSN are those that are posed by the distance between nodes, the amount of energy that is consumed, and the delay in time. The sensor node's source of power supply is a battery, and this particular battery is not capable of being recharged. In this scenario, the amount of energy that is consumed rises in direct proportion to the distance that separates the nodes. Here, we present a Hybrid Firefly Glow-Worm Swarm Optimization (HF-GSO) guided routing strategy for preserving WSNs' low power footprint. An efficient fitness function based on firefly optimization is used to select the Cluster Head (CH) in this procedure. It aids in minimising power consumption and the occurrence of dead sensor nodes. After a cluster head (CH) has been chosen, the Glow-Worm Swarm Optimization (GSO) algorithm is used to figure out the best path for sending data to the sink node. Power consumption, throughput, packet delivery ratio, and network lifetime are just some of the metrics measured and compared between the proposed method and methods that are conceptually similar to those already in use. Simulation results showed that the proposed method significantly reduced energy consumption compared to the state-of-the-art methods, while simultaneously increasing the number of functioning sensor nodes by 2.4%. Proposed method produces superior outcomes compared to alternative optimization-based methods.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2022년도 학술발표회
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• pp.145-145
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• 2022

Availability of abundant water resources data in developing countries is a great concern that has hindered the adoption of deep learning techniques (DL) for disaster prevention and mitigation. On the contrary, over the last two decades, a sizeable amount of DL publication in disaster management emanated from developed countries with efficient data management systems. To understand the current state of DL adoption for solving water-related disaster management in developing countries, an extensive bibliometric review coupled with a theory-based analysis of related research documents is conducted from 2003 - 2022 using Web of Science, Scopus, VOSviewer software and PRISMA model. Results show that four major disasters - pluvial / fluvial flooding, land subsidence, drought and snow avalanche are the most prevalent. Also, recurrent flash floods and landslides caused by irregular rainfall pattern, abundant freshwater and mountainous terrains made India the only developing country with an impressive DL adoption rate of 50% publication count, thereby setting the pace for other developing countries. Further analysis indicates that economically-disadvantaged countries will experience a delay in DL implementation based on their Human Development Index (HDI) because DL implementation is capital-intensive. COVID-19 among other factors is identified as a driver of DL. Although, the Long Short Term Model (LSTM) model is the most frequently used, but optimal model performance is not limited to a certain model. Each DL model performs based on defined modelling objectives. Furthermore, effect of input data size shows no clear relationship with model performance while final model deployment in solving disaster problems in real-life scenarios is lacking. Therefore, data augmentation and transfer learning are recommended to solve data management problems. Intensive research, training, innovation, deployment using cheap web-based servers, APIs and nature-based solutions are encouraged to enhance disaster preparedness.

• 한국지반공학회논문집
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• 제26권7호
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• pp.171-186
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• 2010

일반적으로 강성벽체에 비하여 연성벽체의 경우가 거동 mechanism이 상대적으로 복잡한 것으로 알려져 있으며 여기에다 버팀보 지지의 장지간인 경우 굴착단면 양쪽의 지반조건과 굴착공정의 차이가 부가되면 버팀보 축력변화 분석은 더욱 어렵게 된다. 시공과정에서 현장여건에 의한 과굴착이나 지보재의 설치지연, 지반조건의 변화 등이 발생 할 경우 특정 버팀보에 큰 축력이 발생하여 안전 시공을 위협하게 될 수 있다. 본 논문은 거의 유사한 지반조건, 굴착 및 지보조건을 갖는 동일현장의 약 50m 이격된 2개소의 버팀보 및 rock bolt 지지 장지간 연성벽체 깊은 굴착단면들의 시공과정에서 얻어진 계측결과인 지반변형 및 버팀보 축력변화 특성을 분석하고 2단면 계측결과의 유사성 및 차이점을 비교 고찰함으로써 향후 유사지반 및 동일공법 적용 project들의 설계, 시공과정에서 개선, 보완해야 할 사항 들을 제안하고자 한다.

• 무역학회지
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• 제42권5호
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• pp.233-252
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• 2017

국제무역의 대금결제방식이 기존에는 신용장방식, 추심방식 등이 많이 이용되었지만 최근에는 오픈어카운트 방식으로 그 이용이 증가하고 있다. 이러한 오픈어카운트 방식의 증가추세에 금융권이 대응하고, 정보화 시대에 발맞추고자 새로이 등장한 BPO 제도는 신용장의 지급보장은 물론 전자거래의 편리성을 결제제도에 유용하게 접목시켰다고 할 수 있다. 한편 공급망금융은 기업이 물품을 생산 및 공급하는 과정에서 필요한 운전자금을 보다 신속하게 제공하기 위하여 사용하는 금융으로 특히 자본여력이 충분하지 않은 중소수출기업이 이용함으로써 효율성을 보다 극대화할 수 있다. 이에 본 연구는 중소수출기업이 국제무역거래에서 필요한 자금운용을 적절하게 이용하고, 다국적 기업과 경쟁하여 도태되지 않기 위하여 BPO 제도 및 공급망금융의 효율적 이용을 도모하고자 연구를 진행하였다.

• Restorative Dentistry and Endodontics
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• 제46권1호
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• pp.3.1-3.14
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• 2021

Objectives: This study aimed to evaluate the interface between a calcium silicate cement (CSC), Biodentine and dental adhesives in terms of sealing ability. Materials and Methods: Microleakage test: 160 standardized class II cavities were prepared on 80 extracted human molars. The cavities were filled with Biodentine and then divided into 2 experimental groups according to the time of restoration: composite resin obturation 15 minutes after Biodentine handling (D0); restoration after 7 days (D7). Each group was then divided into 8 subgroups (n = 5) according to the adhesive system used: etch-and-rinse adhesive (Prime & Bond); self-etch adhesive 2 steps (Optibond XTR and Clearfil SE Bond); self-etch adhesive 1 step (Xeno III, G-aenial Bond, and Clearfil Tri-S Bond); and universal used as etch-and-rinse or self-etch (ScotchBond Universal ER or SE). After thermocycling, the teeth were immersed in a silver nitrate solution, stained, longitudinally sectioned, and the Biodentine/adhesive percolation was quantified. Scanning electron microscopic observations: Biodentine/adhesive interfaces were observed. Results: A tendency towards less microleakage was observed when Biodentine was etched (2.47%) and when restorations were done without delay (D0: 4.31%, D7: 6.78%), but this was not significant. The adhesives containing 10-methacryloyloxydecyl dihydrogen phosphate monomer showed the most stable results at both times studied. All Biodentine/adhesive interfaces were homogeneous and regular. Conclusions: The good sealing of the CSC/adhesive interface is not a function of the system adhesive family used or the cement maturation before restoration. Biodentine can be used as a dentine substitute.