• Proceedings of the KIPE Conference
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• 2019.07a
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• pp.311-312
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• 2019

본 논문에서는 직렬-직렬(SS) 보상 구조를 가지는 양방향 무선전력전송 시스템의 비통신 전력전송 제어 방법에 대해 소개한다. 또한 2차단에서의 전력 전달 제어에 1차단의 위상의 필요함을 보이며, 이를 도출하기 위한 20kHz 전류 센싱 방법에 대해서 다룬다. 시뮬레이션과 실험 파형을 통해 소개한 제어 변수와 고주파수 전류 신호 센싱의 방법의 타당성을 증명하였다.

• Annual Conference of KIPS
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• 2013.11a
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• pp.237-240
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• 2013

본 논문에서는 기존 원격 검침 시스템의 불필요한 전류 소모를 줄이고 실시간 유지보수를 실현하기 위한 효과적인 M2M 데이터 송수신 기법을 제안하였다. 명령에 따른 수행시간을 예측하여 통신이 이루어지지 않는 구간에서 CDMA 연결 해제 및 Sleep 전환을 탄력적으로 수행함으로써 전류소모를 최소화 하였으며, 근 실시간 메시지를 이용한 양방향 M2M 기법을 실현하였다. 실험 결과 기존 시스템에 비해 전류소모가 약 17 배 감소하였고, 근 실시간 명령 요청에 대한 빠른 응답을 통해 기존의 단점을 보완한 제안 기법의 우수성을 입증 하였다.

• International Journal of Advanced Culture Technology
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• v.9 no.1
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• pp.162-167
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• 2021

The aim of this paper is to analyze the development of effective online Problem-Based Learning (PBL) and Project-Based Learning (PjBL). The collaborative PBL/PjBL become one of the hot issues with the rapid growth of online learning in the era of COVID-19. Educators try to get innovative to continue instruction without sacrificing student engagement, thus adopting an instructional model of PBL/PjBL. The PBL process involves clarifying terms, defining complex problems, brainstorming, structuring and hypothesis while PjBL includes project-planning, implementation, communicating the results of a project in a presentation and evaluations with immediate individually tailored feedback within a predetermined period. Despite the differences between online and offline learning, the benefits of learning online or offline are practically the same if enough bidirectional interactions between instructors and students are possible. We argue that online qualifications are just the same as those of offline ones in PBL/PjBL models, therefore, the standards of online/offline learning are identical since education is a two-way communication.

• ETRI Journal
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• v.46 no.2
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• pp.205-217
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• 2024

We propose a bandwidth prediction approach based on deep learning. The approach is intended to accurately predict the bandwidth of various types of mobile networks. We first use a machine learning technique, namely, the gradient boosting algorithm, to recognize the connected mobile network. Second, we apply a handover detection algorithm based on network recognition to account for vertical handover that causes the bandwidth variance. Third, as the communication performance offered by 3G, 4G, and 5G networks varies, we suggest a bidirectional long short-term memory model with time distribution for bandwidth prediction per network. To increase the prediction accuracy, pretraining and fine-tuning are applied for each type of network. We use a dataset collected at University College Cork for network recognition, handover detection, and bandwidth prediction. The performance evaluation indicates that the handover detection algorithm achieves 88.5% accuracy, and the bandwidth prediction model achieves a high accuracy, with a root-mean-square error of only 2.12%.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.355-358
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• 2024

본 논문에서는 기존 재난문자의 원리인 CBS(Cell Broadcast Service)의 한계를 극복하는 알고리즘을 제안한다. 재난 상황에서 CBS는 단방향으로 사람들에게 정보를 전달할 수 있으나 양방향 소통이 불가능하여, 어떤 사람이 어디에서 문제를 겪고 있는지를 파악할 수 없다. 재난 상황 시 효율적으로 정보를 관리하고, 요구조자에 대한 구조를 진행할 수 있다. 본 논문에서 제안하는 방법은 상황 설명과 위치 등을 생략하는 등 재난 피해 신고를 간편화하여 재난 상황으로 인한 피해를 추정하기 힘들다는 문제를 개선할 수 있다. 또한 이전에는 위치와 상황을 구체적으로 알려야 신고가 접수되었지만, 사용자가 위치와 상황을 구체적으로 알리지 않더라도 문자로 구조 요청이 가능해진다. 더 나아가, 재난 상황 시 음성을 추적할 수 있게 하여 직접 구조요청을 하지 못하는 상황에 대한 대처도 가능하다.

• Molecules and Cells
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• v.47 no.2
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• pp.100030.1-100030.14
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• 2024

Both brown and white adipose tissues (BAT/WAT) are innervated by the peripheral nervous system, including efferent sympathetic nerves that communicate from the brain/central nervous system out to the tissue, and afferent sensory nerves that communicate from the tissue back to the brain and locally release neuropeptides to the tissue upon stimulation. This bidirectional neural communication is important for energy balance and metabolic control, as well as maintaining adipose tissue health through processes like browning (development of metabolically healthy brown adipocytes in WAT), thermogenesis, lipolysis, and adipogenesis. Decades of sensory nerve denervation studies have demonstrated the particular importance of adipose sensory nerves for brown adipose tissue and WAT functions, but far less is known about the tissue's sensory innervation compared to the better-studied sympathetic nerves and their neurotransmitter norepinephrine. In this review, we cover what is known and not yet known about sensory nerve activities in adipose, focusing on their effector neuropeptide actions in the tissue.

• Journal of Information Processing Systems
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• v.20 no.4
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• pp.458-476
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• 2024

To address the issue of class imbalance in network traffic data, which affects the network intrusion detection performance, a combined framework using transformers is proposed. First, Tomek Links, SMOTE, and WGAN are used to preprocess the data to solve the class-imbalance problem. Second, the transformer is used to encode traffic data to extract the correlation between network traffic. Finally, a hybrid deep learning network model combining a bidirectional gated current unit and deep neural network is proposed, which is used to extract long-dependence features. A DNN is used to extract deep level features, and softmax is used to complete classification. Experiments were conducted on the NSLKDD, UNSWNB15, and CICIDS2017 datasets, and the detection accuracy rates of the proposed model were 99.72%, 84.86%, and 99.89% on three datasets, respectively. Compared with other relatively new deep-learning network models, it effectively improved the intrusion detection performance, thereby improving the communication security of network data.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.35 no.1
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• pp.51-56
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• 2024

This review explores the complexities of autism spectrum disorder (ASD), primarily focusing on the significant eating challenges faced by children and adolescents with this neurodevelopmental condition. It is common for individuals with ASD to exhibit heightened sensitivity to various sensory aspects of food such as taste, texture, smell, and visual appeal, leading to restricted and less diverse diets. These dietary limitations are believed to contribute to an imbalance in the gut microbiota. This review elaborates on how these eating problems, coupled with the distinctive characteristics of ASD, might be influenced by and, in turn, influence the gut-brain axis, a bidirectional communication system between the gastrointestinal tract and the brain. This discussion aims to shed light on the multifaceted interactions and potential implications of diet, gut health, and neurological development and function in children and adolescents with ASD.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.10
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• pp.2281-2287
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• 2013

Network Coding(NC) is a new paradigm for network communication. In network coding, intermediate nodes create new packets by algebraically combining ingress packets and send it to its neighbor node by broadcast manner. Network Coding has rapidly emerged as a major research area in information theory due to its wide applicability to communication through real networks. Network coding is expected to improve throughput and channel efficiency in the wireless multi-hop network. Prior researches have been carried out to employ network coding to wireless ad-hoc network. In our study, intermediate nodes identify one-hop bidirectional flows for network coding decision. We expect that the proposed scheme shall improve decoding success rate of network coded packet. From the simulation, the proposed network coding scheme achieved better performance in terms of coding gain and packet delivery rate than traditional network coding scheme.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.4C
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• pp.273-281
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• 2002

Recently, demand for real-time data and multimedia data is rapidly increasing, and it is impossible for mobile Ad Hoc networks with only best effort service to efficiently transfer such data. So, we absolutely need the QoS service which reserves the communication resources in advance. The existing routing protocols, which assume that the links between nodes are bidirectional, provide the convenience for the route discovery and maintenance, but can not support the routing function for the unidirectional links due to the wireless link property easily changing with time under the real wireless environment. In order to solve such problems, in this dissertation we suggested a unidirectional QoS routing a waste of communication resources. The waste of protocol that supports unidirectional links and reduces communication resources is reduced by establishing the shortest route suitable to QoS support, considering in advance the usable communication resources at each node.