- Advanced MIMO Systems Optimization
- Advanced Wireless Network Optimization
- IoT and Edge/Fog Computing
- Cooperative Communication and Network Coding
- Wireless Networks and Protocols
- Age of Information Optimization
- IoT Networks and Protocols
- Advanced Wireless Communication Technologies
- Energy Efficient Wireless Sensor Networks
- Seismic Imaging and Inversion Techniques
- International Maritime Law Issues
- Mobile Ad Hoc Networks
- Wireless Communication Networks Research
- Cloud Computing and Resource Management
- Traffic Prediction and Management Techniques
- Technology and Data Analysis
- Privacy-Preserving Technologies in Data
- Advanced Wireless Communication Techniques
- Traffic control and management
- Vehicular Ad Hoc Networks (VANETs)
- Innovation in Digital Healthcare Systems
- Wireless Signal Modulation Classification
- UAV Applications and Optimization
- Brain Tumor Detection and Classification
- Education and Learning Interventions
Pusan National University
2008-2024
Southeast University
2023
Hallym University
2019-2021
Iowa State University
2017-2018
World Institute of Kimchi
2012-2017
Chungnam National University
2015
Korea Telecom (South Korea)
2010-2013
Institute of World Economics
2012
Gwangju Institute of Science and Technology
2008-2010
Abstract Driven by advances in signal processing and multiuser detection (MUD) technologies, it has become possible for a wireless node to simultaneously receive multiple signals from other transmitters. In order take full advantage of MUD multi-packet reception (MPR) capable networks, is highly desirable make the compound transmitters more separable on its constellation at receiver coordinating both transmit power level carrier phase offsets this article, we propose feedback-based...
Federated learning (FL) is a machine (ML) technique that enables collaborative model training without sharing raw data, making it ideal for Internet of Things (IoT) applications where data are distributed across devices and privacy concern. Wireless Sensor Networks (WSNs) play crucial role in IoT systems by collecting from the physical environment. This paper presents comprehensive survey integration FL, IoT, WSNs. It covers FL basics, strategies, types discusses WSNs various domains. The...
In this paper, we study the network of unmanned aerial vehicles (UAVs) which acts as a relay between base station, and remotely deployed Internet Things devices. UAVs have received much attention for connecting located networks/objects, but there is lack on multi-hop transmission schemes over UAV networks. It particularly challenging because their high mobility, limited resources, to name few. regard, propose an energy-efficient, cooperative scheme UAVs. We formulate optimal scheduling...
A heterogeneous network (HetNet) can actively utilize the spectrum reuse with low power consumption, and thus is promising for next-generation cellular networks. However, there are some technical challenges to be overcome in order HetNets practical, we address following two this paper. One how formulate association resource scheduling problem a way that an optimal solution found reasonable amount of time, other accommodate varying users' demand. In minimize consumption satisfy quality...
We consider the power saving mechanism for 802.11ah on large-scale sensor networks. Power mode allows nodes to switch low-power state while APs buffer incoming frames them. Also, introduced TIM and page segmentation scheme cope with a large number of nodes. Although it is powerful tool reducing contention increasing sleep intervals, advantage comes at expense additional energy waste, which becomes exacerbated as increases. This paper aims minimizing such waste enhancing efficiency critical...
The trajectory prediction of a vehicle emerges as pivotal component in Intelligent Transportation Systems. On urban roads where external factors such intersections and traffic control devices significantly affect driving patterns along with the driver’s intrinsic habits, task becomes much more challenging. Furthermore, long-term forecasting trajectories accumulates errors, leading to substantially inaccurate predictions that may deviate from actual road. As solution these challenges, we...
Drones are widely utilized in various industries. Unfortunately, when a drone acquires sound through microphone, which is installed itself, flying and wind noises appear recorded signals. Therefore, it necessary to reduce such for enhancing the quality of signals UAV acoustic sensor networks. In this paper, we proposes noise reduction method using deep convolutional denoising autoencoder eliminating noises. The extract target source monaural audio separation. To do task, training dataset...
Edge computing is a promising alternative to cloud for offloading computationally heavy tasks from resource-constrained mobile user devices. Placed at the edge of network, particularly advantageous delay-limited applications having short distance end-users. However, when moves away service coverage associated server, advantage gradually vanishes, increasing response time. Although migration has been studied address this problem focusing on minimizing downtime, both zero-downtime and amount...
DATA REPORT article Front. Pharmacol., 15 November 2017Sec. Inflammation Pharmacology Volume 8 - 2017 | https://doi.org/10.3389/fphar.2017.00840
A Gram-stain-negative, non-spore-forming and coccus-shaped bacterial strain, designated 4DR5T, was isolated from freshwater its taxonomic position investigated using a polyphasic approach. Growth occurred at 10-40 °C (optimum 30 °C), pH 6-9 7) in the presence of 0-0.4 % (w/v) NaCl 0 %) on R2A agar. On basis 16S rRNA gene sequence similarity, strain 4DR5T assigned to family Moraxellaceae class Gammaproteobacteria, closest related taxa were species genera Perlucidibaca (93.67 similarity),...
Edge computing is a promising technology, especially for offloading users’ computationally heavy tasks. The close proximity of edge units to users minimizes network latency, thereby enabling delay-sensitive applications. Although optimal resource provisioning and task in are widely studied the literature, there still some critical research gaps. In this study, we propose traffic-aware association task-offloading approach. proposed method does not rely solely on average rate requests, which...
본 연구는 대구지역에서의 중앙정부 및 광역자치단체의 청년고용정책 사업을 정책 일관성의 관점에서 공급측면(정책주체 간의 파트너십, 간 조정)과 수요측면(수요 형성 전달체계, 지역적 특성 반영)으로 구분하여 분석하였다. 첫째, 정책주체 파트너십에서는 광역자치단체 단위의 행위자들이 개별적으로 추진할 뿐만 아니라 중앙정부사업에 대해 조정을 할 수 있는 권한이 없어 연계를 위한 활동이 활발하지 않아 협력적 파트너십이 미흡한 것으로 보인다. 둘째, 중앙정부와 대구시 사업에서는 일부 유사성이 나타나고 있는데, 광역자치단체장의 공약이행에 대한 높은 관심, 정책에 미숙지와 고용정책에 경험 미축적 등에 그 원인이 있다고 있다. 셋째, 수요 전달 체계의 측면에서 보면, 청년위원회 운영 등을 통해 수요발굴을 위해 노력하나, 청년들의 일자리에 다양한 기대수준과 지역 산업 격차 반영할 체계가 미흡하여 수요를 반영한 공급이 어려운 넷째, 반영과 관련해서는 지방 고용노동청에서는 지침에만 따른 사업추진으로...
Compared to cloud computing, mobile edge computing (MEC) is a promising solution for delay-sensitive applications due its proximity end users. Because of ability offload resource-intensive tasks nearby servers, MEC allows diverse range compute- and storage-intensive operate on resource-constrained devices. The optimal utilization can lead enhanced responsiveness quality service, but it requires careful design from the perspective user-base station association, virtualized resource...
The measurement of cysteine in human urine and live cells is crucial for evaluating biological metabolism, monitoring maintaining the immune system, preventing tissue/DNA damage caused by free radicals, autoimmune diseases, diagnosing disorders such as cystinuria cancer. A method that uses a fluorescence turn-on probe portable spectrometer device are highly sensitive, simple, rapid, inexpensive detection. Herein, we present synthesis application benzimidazole-based fluorescent (ABIA) along...
The Internet of Things (IoT) paradigm has been proposed to assist and automate various activities such as environment monitoring by connecting physical devices in the area our interest. Low- cost, battery-operated, resource-limited IoT usually are densely deployed for robustness against node failures well providing desired quality monitoring. One effective ways prolong lifetime an network is schedule selected enter sleep mode activate them later a future time. However, this must be done...
Edge computing can be used as a distributed counterpart of the cloud computing, and task offloading with much shorter delays achieved. In general, edge servers are resource-limited, but services becoming further diversified to meet ever-increasing user demand. When an server cannot process received service request particular type for not locally having corresponding execution image, needs forwarded another on which image is installed. this article, optimal scheduling method that forwards...
Despite of its importance and potential, the research on peak power forecasting has received little attention. The decrease not only reduces operational expense, but also avoids outages especially during demand season. Thus, forecasting, which is key enabler for such advantages, can bring significant gains to a large-scale, energy-intensive manufacturing plant. This paper proposes high-precision multi-step method predict both series time day occurs. proposed approach first predicts certain...
In this paper, we analyze the performance characteristics of TCP congestion control algorithms such as Westwood+, Veno and New Reno based on mobile WiMAX. Especially, paper describes effect handover over WiMAX networks. Our ns-2 simulation results show that Westwood+ are substantially better than up to 16.5% 5.4% respectively. addition, when added a handover-aware algorithm was improved 17.8% in comparison Reno.