• 대한인간공학회지
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• 제26권2호
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• pp.61-66
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• 2007

The networked home is connected to the external world using a high speed network. The devices inside the house are connected using a wired and wireless network. Acquiring the user data is an essential step for designing the user interface in user centered design. In networked home, the numbers of use cases are exponentially increased because connected use cases are considered. Because the user data for networked home are too complicated, they are acquired and analyzed by a structured methodology. We surveyed 40 people to acquire the context data home and analyzed by 5W1H (Who, Where, What, When, Why, How). We established a framework for the user data using tasks, user, time, space, objects and environment. The data for home context was structured by our framework. This framework makes simple the home context and is helpful for user interface design in home network.

• 전자공학회논문지B
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• 제30B권1호
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• pp.18-28
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• 1993

Processes in the real-time distributed control systems share a network medium to exchange their data. Performance of feedback control loops in the real-time distributed control systems is subject to the network-induced delays from sensor to controller, and from controller to actuator. The network-induced delays are directly dependent upon the data sampling times of control components which share a network medium. In this study, an algorithm of determining data sampling times is developed using the "window concept". where the sampling datafrom the control components dynamically share a limited number of windows. The scheduling algorithm is validated through the aimulation experiments.

• 센서학회지
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• 제26권1호
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• pp.1-6
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• 2017

The advanced driver assistant system (ADAS) requires the collection of a large amount of information including road conditions, environment, vehicle status, condition of the driver, and other useful data. In this regard, large-scale sensor networks can be an appropriate solution since they have been designed for this purpose. Recent advances in sensor network technology have enabled the management and monitoring of large-scale tasks such as the monitoring of road surface temperature on a highway. In this paper, we consider the estimation and fusion problems of the large-scale sensor networks used in the ADAS. Hierarchical fusion architecture is proposed for an arbitrary topology of the large-scale sensor network. A robust cluster estimator is proposed to achieve robustness of the network against outliers or failure of sensors. Lastly, a robust hierarchical data fusion scheme is proposed for the communication channel between the clusters and fusion center, considering the non-Gaussian channel noise, which is typical in communication systems.

• 한국통신학회논문지
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• 제17권3호
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• pp.307-322
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• 1992

For designing the radar integrated data network, we construct the network structure with a spatial hieratchy decomposition scheme. The RIDN can be decomposed into several subent classes, those of which are composed of the several group classes of radar sites, In a group class. The communication nodes of a radar site are modeled by the software modules formulated with the statistical attributes of discrete events. And we get the analysis over the network through the separately constructed infra group level models which were coded with the C language.From the result of the simulation. We could findthe fact that the data integration system;s performance approaches to the theordtically calculated value after being stable. And also we could get the packet processing status of a communication module’s inner processor which is difficult to oberve through the mathematical calculation tin the subnet model of the integrated data network.

• 정보통신설비학회논문지
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• 제1권1호
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• pp.51-64
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• 2002

This paper analyzes performance measures of a Bluetooth_based mobile home network system. The home network system consists of terminals with Bluetooth interfaces, access points (AP), a home PC, and a gateway A mobile host in wireless terminals uses Mobile IP for supporting the mobility This paper considers four types of data traffic, which are new connection traffic, handoff traffic, Internet data traffic, and control data traffic and suggests a queueing system model of the home network system, where the AP and the home PC are modeled as M/G/1 with four priority queues and the gateway is modeled as M/G/1 with a single queue The generation rate and service time of individual traffic influence their performance measures. Based ell the suggested model, we propose the elapsed time of data traffic in terms of the number of cells, the number of Home PCs, arrival rates of four types of traffic and the service rates of AP/Home PCs/Gateway To analyze influences on the elapsed time with respect to arrival rate of four types of traffic, some examples are given.

• Journal of the Korean Data and Information Science Society
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• 제28권3호
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• pp.685-695
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• 2017

The traditional mixture of experts (ME) modeled the gate network using a certain parametric function. However, if the assumed parametric function does not properly reflect the true nature, the prediction strength of ME would become weak. For example, the parametric ME often uses logistic or multinomial logistic models for the network model. However, this could be very misleading if the true nature of the data is quite different from those models. Although, in this case, we may develop more flexible parametric models by extending the model at hand, we will never be free from such misspecification problems. In order to alleviate such weakness of the parametric ME, we propose to use the semi-parametric mixture of experts (SME) in which the gate network is estimated in a non-parametrical way. Based on this, we compared the performance of the SME with those of ME and neural networks via several simulation experiments and real data examples.

• Journal of information and communication convergence engineering
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• 제10권3호
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• pp.248-252
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• 2012

The sensor network standard DASH7 was proposed to improve transmission quality and low power communication. Specifications for the standard are currently being developed, so the security specification has not been firmly implemented. However, without a security specification, a network cannot work due to threats from malicious users. Thus we must ensure confidentiality and authentication of data packets by using a cryptography method. To contribute to the DASH7 security specification, this paper shows the implementation results of network and data link layer security by using advanced encryption standard (AES) counter with CBC-MAC (CCM) over CC430 sensor nodes.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2001년도 추계학술발표논문집 (상)
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• pp.363-366
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• 2001

It is very difficult to maintain the performance of estimation models for the new breed of projects since the computing environment changes so rapidly in terms of programming languages, development tools, and methodologies. So, we propose to use the relevant cases for a neural network model, whose cost is the decreased number of cases. To balance the relevance and data availability, the qualitative input factors are used as criteria of data classification. With the data sets that have the same value for certain qualitative input factors, we can eliminate the factors from the model making reduced neural network models. So we need to seek the optimally reduced neural network model among them. To find the optimally case-selective neural network, we propose the search techniques and sensitivity analysis between data points and search space.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2010년도 추계학술대회
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• pp.427-430
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• 2010

MOST Network는 오디오와 비디오 데이터를 실시간으로 전송하는 동기식데이터 영역과 패킷데이터를 전송하는 비동기식 데이터 영역, 네트워크 관리를 위한 명령, 상태, 진단 정보를 전송하는 control Channel로 구성되어 있다. 본 논문에서는 비동기식 데이터 영역과 Control Channel의 데이터를 캡처 및 분석하는 모듈을 설계 및 구현한 후 실제 MOST 네트워크를 구축하여 검증해 보았다. 구현한 시스템을 바탕으로 고가의 장비를 별도로 보유하지 않더라도 MOST Network의 비동기식 데이터 영역과 Control Channel의 데이터를 확인할 수 있으며, 분석이 가능한 시스템을 제안하였다.

• 대한임베디드공학회논문지
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• 제16권3호
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• pp.113-117
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• 2021

The data gathering delay and the network lifetime are important indicators to measure the service quality of wireless sensor and actuator networks (WSANs). This study proposes a dynamically cluster head (CH) selection strategy and automatic scheduling scheme of collectors for prolonging the network lifetime and shorting data gathering delay in WSAN. First the monitoring region is equally divided into several subregions and each subregion dynamically selects a sensor node as CH. These can balance the energy consumption of sensor node thereby prolonging the network lifetime. Then a task allocation method based on genetic algorithm is proposed to uniformly assign tasks to actuators. Finally the trajectory of each actuator is optimized by ant colony optimization algorithm. Simulations are conducted to evaluate the effectiveness of the proposed method and the results show that the method performs better to extend network lifetime while also reducing data delay.