• 전자공학회논문지B
• /
• 제32B권1호
• /
• pp.120-126
• /
• 1995

The diffusion neural network can be cfficiently applied to the Gaussian processing. For example, a difference of two Gaussians(DOG) is performed by this network with ease. In this paper, we model a neural network to perform the function /t(.del.${\Delta}^{2}$G) by using the diffusion neural network. This model is used to detect the edges of moving target in image. By this model not only moving target is separated from stationary background but also their trajectories are obtained using accumulated past information in the diffusion neural network. Furthermore this model needs a small number of connections per cell and the connection weights are fixed-valued. Therefore its hardware can be easily implemented with simple structure.

• 한국통신학회논문지
• /
• 제37A권12호
• /
• pp.1093-1105
• /
• 2012

본 논문에서는 3-Cell 간섭 환경에서의 하향링크 MU-MIMO를 위한 간섭 공간 재활용 기술 (ISR)과 그 적용방안을 제시한다. 멀티 셀 간섭환경의 셀 경계 사용자들의 안정적인 통신을 위해서는 효율적인 간섭 관리가 필요하다. 하지만 셀 중심부의 사용자들의 경우 간섭의 영향을 적게 받으며 적은 전송 전력으로도 안정적인 통신이 가능하다. 본 논문에서는 셀 경계 사용자의 간섭 공간을 재사용하여 셀 중심부 사용자에게 서비스를 제공하는 ISR 기반 전송 신호 설계 방법을 제시한다. ISR 방식은 간섭정렬(IA)과 결합된 부분적 주파수 재활용 (fractional frequency reuse : FFR) 방식과 비교하여 볼 때 셀 중심 사용자와 셀 경계 사용자에 대한 scheduling에 따라 전체 네트워크 데이터 전송용량 측면에서 20%의 성능 향상을 보이며 또한 셀 중심 사용자의 서비스 품질 (QoS) 요구조건이 고정되어 있는 경우 ISR 방식에 의해 기지국에서의 전송 신호 벡터를 설계함으로서 셀 경계 사용자의 데이터 전송 용량을 증가시킬 수 있다.

• Korean Journal of Acupuncture
• /
• 제41권1호
• /
• pp.7-15
• /
• 2024

Objectives : This study aimed to predict the effectiveness and potential of Schizonepeta tenuifolia as an anticancer treatment for non-small cell lung cancer through network-based pharmacology and cellular experiment. Methods : To identify the major bioactive compounds in Schizonepeta tenuifolia, we used the Traditional Chinese Medicine Systems. The target genes for the cancer treatment were selected using the UniProt database and the networked using Cytoscape. We performed functional enrichment analysis based on the Gene Ontology Biological Process and Kyoto Encyclopedia of Genes and Genomes Pathways to predict the mechanisms. To investigate the effect of Schizonepeta tenuifolia on lung cancer cell growth, we treated A549 cells, a lung cancer cell line, with different concentrations of the drug and used the MTT assay for cell viability. Results : Research has shown that the most effective mechanism of active compounds from Schizonepeta tenuifolia is through the pathway of cancer. The results of the network pharmacology analysis indicate that Schizonepeta tenuifolia has potential medicinal value as an adjuvant in anticancer treatment. The concentration-dependent inhibition of cell viability was observed on A549 cells. Furthermore, synergistic anticancer activity with Doxorubicin was also observed. Conclusions : Through a network pharmacological approach, Schizonepeta tenuifolia was predicted to have potential as an anticancer agent, and its efficacy was experimentally demonstrated using A549 cells. These findings suggest that Schizonepeta tenuifolia is a promising candidate for future research.

• 한국ITS학회 논문지
• /
• 제10권6호
• /
• pp.98-107
• /
• 2011

본 연구는, 무선랜 네트워크 내에서 인프라 스트럭쳐가 제공하는 정보를 이용하여 에이전트 단말의 위치를 결정하는 위치정보 제공 시스템을 개발, 제시하였다. 본 시스템은 일반적인 ESS(Extended Service Set)형의 무선랜 구성에서 AP(Access Point) 컨트롤러를 통해 실시간 위치 측위 엔진을 구성하였으며, 측위 엔진은 SNMP(Small Network Management Protocol)을 이용하여, 각각의 AP에 접속하여 통신 패킷을 송수신하는 에이전트 단말의 정보를 AP 컨트롤러로부터 수집하여 위치 기반 서비스용 Cell ID.정보로 활용하게 된다. 실제 사무실 환경에서 구현해 본 결과, 평균 62.5%의 AP간 로밍 성공률을 보였으나 AP내 단말정보의 업데이트 시간은 평균 11초로서, 정확한 위치정보와 함께 긴급성이 덜 필요로 하는 위치기반 서비스에의 적용 가능성을 보였다.

• 조명전기설비학회논문지
• /
• 제25권2호
• /
• pp.87-95
• /
• 2011

A Renewable Portfolio Standard(RPS) is a regulation that requires the increased generation of energy from renewable energy sources such as solar, wind, fuel cell, small hydro, biomass and geothermal. By environmental, technical and these regulatory reasons, the amount of renewable energy sources will be increased in a network. However, it is hard to assess risk of a transmission network with large scale renewable energy sources because the output characteristics of renewable energies are intermittent. This paper evaluates effects of a transmission system with supplemental large scale renewable energies into the existing system. To evaluate these effects, a methodology for risk level of components in a network is proposed considering steady state and contingency N-1 in this paper. We consider line current and bus voltage in each state of a network.

• 전자공학회논문지A
• /
• 제32A권12호
• /
• pp.1-8
• /
• 1995

In this paper, we propose an extendible copy network in a large-scale ATM switch consisting of small switch modules implementable on a single VLSI chip or a single PCB. Considering multicasting switches consist of a copy network and a routing network, there exist broadcast and group translators (BGT) which assign the destination addresses into copied cells. The BGT table can be reduced by vertical partitioning method; copied cells are translated in adjacent BGTs and each BGT table has a single destination address per connection. In addition, the distribution network routes and copies incomming cells into several groups statically which are translated into consecutive BGTs. This guarantees the integrity of cell sequences. Connection-setup time as well as the BGT table size can be reduced significantly.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제10권9호
• /
• pp.4108-4122
• /
• 2016

To address challenges of an unprecedented growth in mobile data traffic, the ultra-dense network deployment is a cost efficient solution to off-load the traffic over other small cells. However, the real traffic is often much lower than the peak-hour traffic and certain small cells are superfluous, which will not only introduce extra energy consumption, but also impose extra interference onto the radio environment. In this paper, an elastic energy efficient cell management scheme is proposed based on flow scheduling among multi-layer ultra-dense cells by a SDN controller. A significant power saving was achieved by a cell-level energy manager. The scheme is elastic for energy saving, adaptive to the dynamic traffic distribution in the office or campus environment. In the end, the performance is evaluated and demonstrated. The results show substantial improvements over the conventional method in terms of the number of active BSs, the handover times, and the switches of BSs.

• 한국멀티미디어학회논문지
• /
• 제4권4호
• /
• pp.339-348
• /
• 2001

본 논문에서는 ATM 망이 수용하고 있는 모든 서비스 클래스에 대해 적용 가능한 다중 우선순위 기반의 셀 스케줄링 알고리 즘을 제안한다. 제안한 알고리즘은 각 서비스 클래스의 우선순위를 4 계층으로 분류하고, 각 서비스 클래스에 대한 가중치를 연결 설정시에 협정한 트래픽 변수(parameter)에 근거하여 생성한다. 제안한 알고리즘은 실시간 서비스인 CBR(Constant Bit Rate) 및 rt_VBR(Real-time Variation Bit Rate) 서비스를 우선적으로 서비스하여 지연에 민감한 트래픽의 QoS(Quality of Service)를 보장하였으며, 트래픽 전송이 지연될 경우 대역폭의 대소에 관계없이 우선적으로 전송할 수 있는 가중치를 둠으로써 작은 트래픽이라도 큐 내에서 지연되는 것을 최소화하였다. 제안한 셀 스케줄링 알고리즘의 효용성을 입증하기 위해 기존의 셀 스케줄링 알고리즘과 비교한 모의실험을 수행하였고, 그 결과를 제시한다.

• 한국가시화정보학회지
• /
• 제19권2호
• /
• pp.41-47
• /
• 2021

River and stream are the important water supply source in our lives. Eutrophication causes excessive green algae growth including microcystis, which makes harmful to ecosystem and human health. Therefore, the water purification process to remove green algae is essential. In Korea, green algae alarm system exists depending on the concentration of green algae cells in river or stream. To maintain the growth amount under control, green algae monitoring system is being used. However, the unmanned, small and automatic monitoring system would be preferable. In this study, we developed the 3D printed device to measure the concentration of green algae cell using microfluidic droplet generator and deep learning. Deep learning network was trained by using transfer learning through pre-trained deep learning network. This newly developed microfluidic cell counter has sufficient accuracy to be possibly applicable to green algae alarm system.

• 전기의세계
• /
• 제28권8호
• /
• pp.66-71
• /
• 1979

This paper describes electrical analysis of the information processing of the nervous system. A general-purpose electrical neuronal model for simulating the electrical activity in a single nerve cell and in small groups of nerve cell has constructed. This model consists of two basic electronic modules to represent respectively a "cell body" and an "axon (with synapses)", together with various related appurtenances. The primary advantages of this method are; holistic view, actual physical representation of various electrical activities in a single nerve cell, display of the activity of all nerve cells flexibility with respect to network parameters. Moreover, this model can effectively help push forward our general ability to explore and conceptualize the electrical activity of interconnected networks of nerve cell behaving in concert. Also, this electronic module technique is the best of various means for this task of realistic representation of aggregates of neurons.gregates of neurons.