• International journal of advanced smart convergence
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• 제6권3호
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• pp.29-37
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• 2017

The current behavior recognition system don't match data formats between sensor data measured by user's sensor module or device. Therefore, it is necessary to support data processing, sharing and collaboration services between users and behavior recognition system in order to process sensor data of a large capacity, which is another formats. It is also necessary for real time interaction with users and behavior recognition system. To solve this problem, we propose fog cloud based behavior recognition system for human body sensor data processing. Fog cloud based behavior recognition system solve data standard formats in DbaaS (Database as a System) cloud by servicing fog cloud to solve heterogeneity of sensor data measured in user's sensor module or device. In addition, by placing fog cloud between users and cloud, proximity between users and servers is increased, allowing for real time interaction. Based on this, we propose behavior recognition system for user's behavior recognition and service to observers in collaborative environment. Based on the proposed system, it solves the problem of servers overload due to large sensor data and the inability of real time interaction due to non-proximity between users and servers. This shows the process of delivering behavior recognition services that are consistent and capable of real time interaction.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2016년도 제50회 동계 정기학술대회 초록집
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• pp.273.1-273.1
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• 2016

Graphene exhibits a number of unique properties that make it an intriguing candidate for use in sensor. Here, we report graphene-based gas sensor. Graphene was grown using CVD. Then, the sensor was made using standard lithography techniques. The sensor conductance increased upon exposure to NH3, whereas it decreased upon NO2, suggesting that NH3 and NO2 might be discriminated using the graphene-based sensor. To improve the sensitivity, graphene was treated with hydrogen plasma. After hydrogen treatment, the electrical properties of graphene changed from ambipolar to p-type semiconductors. In addition, the sensor performance was improved probably due to an opening of bandgap.

• ETRI Journal
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• 제37권3호
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• pp.480-490
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• 2015

The reliability of sensor networks is generally dependent on the battery power of the sensor nodes that it employs; hence it is crucial for the sensor nodes to efficiently use their battery resources. This research paper presents a method to increase the reliability of sensor nodes by constructing a connected dominating tree (CDT), which is a subnetwork of wireless sensor networks. It detects the minimum number of dominatees, dominators, forwarder sensor nodes, and aggregates, as well as transmitting data to the sink. A new medium access control (MAC) protocol, called Homogenous Quorum-Based Medium Access Control (HQMAC), is also introduced, which is an adaptive, homogenous, asynchronous quorum-based MAC protocol. In this protocol, certain sensor nodes belonging to a network will be allowed to tune their wake-up and sleep intervals, based on their own traffic load. A new quorum system, named BiQuorum, is used by HQMAC to provide a low duty cycle, low network sensibility, and a high number of rendezvous points when compared with other quorum systems such as grid and dygrid. Both the theoretical results and the simulation results proved that the proposed HQMAC (when applied to a CDT) facilitates low transmission latency, high delivery ratio, and low energy consumption, thus extending the lifetime of the network it serves.

• 센서학회지
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• 제32권5호
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• pp.295-299
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• 2023

Herein, we propose a simple fabrication method for MXene-coated V-groove sensors for applications. To enhance the sensitivity of this sensor, we applied MXene particles, instead of conventional metal layers, as a sensing material on the sensor's surface. This allows for an easier fabrication, as well as higher sensitivity of the sensor compared to those of our previously demonstrated metal-based V-groove sensor. Additionally, polyurethane-acrylate, a UV-curable liquid polymer, can be easily applied using micro-electromechanical systems-based surface-texture micromachining. The sensor sensitivity is approximately 0.08 /mm, and it can be improved by increasing the number of V-grooves. We believe that the proposed MXene-based wearable sensor offers a great potential in detecting various types of motions characteristic of human activities.

• Journal of Platform Technology
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• 제9권1호
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• pp.32-39
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• 2021

기존 환경측정기기는 전자파 및 친환경 제품 인증, 내구성 시험 위주이며, 센서 신뢰성 검증 및 측정 데이터에 대한 검증은 형식 승인 및 등록, 인수시험, 초기교정, 주기시험 등을 통해 센서 성능평가 위주로 수행된다. 본 플랫폼은 각 타겟 센서별 성능평가 뿐만 아니라 센서의 데이터 신뢰성에 대한 검증체계 지원 ICT 기반 환경 모니터링 센서 신뢰성 검증 체계를 구축하였다. 환경 정보에 대한 센서 데이터를 수집할 센서보드를 제작하였고 센서 및 데이터 신뢰성 평가 및 검증 서비스 체계를 규격화 하였다. 또한, ICT 기반 센서 데이터 신뢰성 평가 및 검증을 위해 LoRa 통신을 이용한 센서 데이터 플랫폼 모니터링 프로토타입을 제작하였고 이를 스마트 시티 등에 실증 테스트하였다. 해당 시스템을 통해 받은 데이터 분석을 위해 머신러닝을 이용하여 최적화 알고리즘 개발하였다. 이를 통해 신뢰성 검증을 위한 센서 빅데이터 분석시스템을 구축하였고 통합 평가 및 검증 시스템의 기반을 마련하였다.

• 한국멀티미디어학회논문지
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• 제19권2호
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• pp.360-374
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• 2016

Since WSNs (Wireless Sensor Networks) applied to their application areas such as smart home, smart factory, environment monitoring, etc., depend on sensor data, the sensor data is the most important among WSN components. The resources of each node consisting of WSN are extremely limited in energy, hardware and so on. Due to these limitation, communication failure probabilities become much higher and the communication failure causes data loss to occur. For this reason, this paper proposes 2MC (Maximum/Minimum Compression) that is a method to compress sensor data by selecting circular queue-based maximum/minimum sensor data values. Our proposed method reduces sensor data losses and value errors when they are recovered. Experimental results of 2MC method show the maximum/minimum 35% reduction efficiency in average sensor data accumulation error rate after the 3 times compression, comparing with CQP (Circular Queue Compression based on Period) after the compressed data recovering.

• 제어로봇시스템학회논문지
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• 제15권8호
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• pp.867-875
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• 2009

A wireless sensor network inherently comprises a plurality of sensor nodes widely deployed for sensing environmental information. To add new functions or to correct some faulty functions of an existing wireless sensor network, the firmware for each sensor node needs to be updated. Firmware update would be quite troublesome if it requires the gathering, reprogramming, and redeploy of all of already deployed sensor nodes. Over-the-air programming (OTA) facilitates the firmware update process, thereby allowing convenient maintenance of an already-deployed sensor network. This paper proposes and implements a remote firmware update mechanism for a TDMA-based wireless sensor network, in which the firmware for sensor nodes constituting the TDMA-based sensor network can be easily updated and the update process can be conveniently monitored from a remote site. We verify the validity of the proposed firmware update method via experiments and introduce three wireless sensor networks installed in outdoor sites in which the proposed firmware update mechanism has been exploited.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년 학술대회 논문집 정보 및 제어부문
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• pp.229-231
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• 2006

NLPCA(Nonlinear Principal Component Analysis) is a novel technique for multivariate data analysis, similar to the well-known method of principal component analysis. NLPCA operates by a feedforward neural network called AANN(Auto Associative Neural Network) which performs the identity mapping. In this work, a sensor fault detection system based on NLPCA is presented. To verify its applicability, simulation study on the data supplied from sensor network is executed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권12호
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• pp.5442-5463
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• 2016

Designing efficient routing protocols for a wireless sensor network with mobile sinks (mWSN) is a challenging task since the network topology and data paths change frequently as sink nodes move. In this paper, we design a novel lightweight reactive ring based routing protocol called R3, which removes the need of proactively maintaining data paths to mobile sinks as they move in the network. To achieve high packet delivery ratio and low transmission cost, R3 combines ring based forwarding and trail based forwarding together. To support efficient ring based forwarding, we build a ring based structure for a network in a way such that each node in the network can easily obtain its ring ID and virtual angle information. For this purpose, we artificially create a virtual hole in the central area of the network and accordingly find a shortest cycled path enclosing the hole, which serves as base ring and is used for generating the remaining ring based structure. We accordingly present the detailed design description for R3, which only requires each node to keep very limited routing information. We derive the communication overhead by ring based forwarding. Extensive simulation results show that R3 can achieve high routing performance as compared with existing work.

• 한국인터넷방송통신학회논문지
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• 제12권4호
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• pp.211-221
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• 2012

한정된 자원으로 인해 개발이 더디게 진행되어오던 무선 센서 네트워크(Wireless Sensor Network)가 하드웨어 및 전원관리 기술의 발달로 인해 최근 IP를 기반으로 하는 IP-WSN으로 개발되고 있다. 그 방안으로 저 전력 장치에 IPv6를 탑재할 수 있는 6LoWPAN (IPv6 over Low power WPAN)이 주목받고 있다. 이런 IP 기반의 센서 네트워크에서는 기존 무선 센서 네트워크에서는 불가능하던 IP 기반의 기법들이 가능해진다. 6LoWPAN은 IEEE 802.15.4를 기반으로 하는 센서 네트워크에 IPv6를 지원하기 위한 기술이다. 호스트 기반의 이동성 관리 기법은 IP-WSN에 부가적인 시그널링으로 인해 적합하지 않고, 네트워크 기반의 이동성 관리 기법이 적합하다. 따라서 본 논문에서는 다중 6LoWPAN 네트워크 환경을 고려한 PMIPv6 기반의 향상된 경로 최적화 방안을 제안한다. 6LoWPAN 도메인의 모든 SLMA(Sensor Local Mobility Anchor)는 SPIG(Sensor Proxy Internetworking Gateway)에 연결되어 6LoWPAN도메인 간 분산 이동성 제어를 수행한다. 6LoWPAN 도메인 내 모든 SLMA의 정보를 SMAG(Sensor Mobile Access Gateway)가 유지하도록 하여 신속하게 경로 최적화를 수행하도록 하였으며, SLMA에 경로 최적화 상태 정보를 SPIG로부터 수신받아 저장하여 추가적인 시그널링 없이 경로 최적화를 지원하도록 한다.