• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.793-795
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• 2011

In this paper, an wet diaper sensor system for u-healthcare is implemented and designed. The u-healthcare system of wet diaper sensor consists of sensor node, data-logger/gateway, and server or user terminals. The sensor node includes $NH_3$, humidity, and temperature sensors and TI CC2530 chip, and the data-logger/gateway can connect to a communication network and send the aggregated data from the sensor nodes to a server, and the server can manage the situation of the sensor node and make another analyzed information. Also user terminals can request and obtain the information necessary from the server. The algorithm for detecting wet diaper is proposed, and using the proposed algorithm, the sensitivity for detecting wet diaper is 100%.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.1A
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• pp.87-94
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• 2010

It is widely known that cooperative spectrum sensing in which secondary users scattered in some region collaborate to detect primary users can significantly reduce the performance degradation due to the fading phenomenon. Most of previous works on cooperative spectrum sensing are based on the assumption that the local spectrum sensing decisions of secondary users are statistically independent. However, there can be practically some statistical correlation between the local decisions of any two secondary users in close proximity, which is caused by shadowing effect. In order to evaluate the effect of this correlation on the performance of collaborative spectrum sensing, we assumed that, for the case that a primary user are active in the spectrum of interest, any two local decisions are statistically correlated to each other with some level of constant correlation and independent otherwise, and analyzed the achievable throughput with the degree of correlation varying. The results showed that, as the degree of correlation gets higher, the throughput increases for the case of the AND fusion rule and decreases for the OR fusion rule.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.3A
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• pp.311-320
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• 2006

This paper proposes DDTM for USN having end-point mobility. The existing network protocols did not consider target's and sink's mobility. So it requires flooding and path update whenever targets or sinks move. This can lead to drain battery of sensors excessively and decrease lifetime of USN. DDTM is the protocol based on TTDD considering sink's mobility. TTDD provides sink's mobility efficiently by using the grid structure, but it requires the high energy because of reconstructing the grid structure whenever targets move. In this way, the proposed protocol can decrease a consumption of energy, since it reuses the existing grid structure of TTDD, if the target moves in local cell. We compare DDTM with TTDD under the total message and the energy consumption by using a discrete analytical model for cost analysis. Analytical results demonstrated that our proposed protocol can provide the higher efficiency on target's mobility.

• Journal of the Korea Society of Computer and Information
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• v.29 no.11
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• pp.163-171
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• 2024

In this paper, we propose a Wi-Fi Mesh-based fire detection system for fire detection and rapid response. Previous fire detectors had the problem that it is difficult to distinguish between fire and non-fire based on a single sensor, and since multiple detectors operate independently, there is a lack of interconnectivity. In this paper, we present a fire detection system based on a K-NN classification model using a multi-sensor based fire detector. Also, by constructing a mesh network for fire detection, detectors within a spatial range can be interlinked to detect fire. Looking at the performance evaluation results of the implemented system, it was confirmed that the TPR(True Positive Rate) of fire classification was 96.1%, the FPR(False Positive Rate) was 0%, and the F1-Score, which corresponds to the harmonized mean value of accuracy and reproduction rate of fire and non-fire classification, was 98.01%, and the prediction accuracy ACC(Accuracy) showed excellent performance of 98.05%. In the future, we intend to develop it into an intelligent fire detector system through mesh network monitoring and multi-sensor self-diagnosis functions.

• Journal of Sensor Science and Technology
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• v.4 no.4
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• pp.41-46
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• 1995

Sensor system which can detect a flowing cell is designed and fabricated by semiconductor processing and EDM(Electro-chemical Discharge drilling Method). Two methods are used in this paper; 1) optical method which measures the trasmitted light through the cell passage between transmitter and receiver, 2) impedance method which measures impedance change between electrodes, when cell flows in the cell passage. Experimental result using tabaco leaves shows that the ouput value by optical method is 0.2V to 0.7V, and the output by impedance method is 0.2V to 2V, which is bigger, but it includes an avoidable noises.

• Journal of Internet Computing and Services
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• v.13 no.1
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• pp.7-14
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• 2012

In this paper, performance of IEEE 802.11 carrier-sense multiple access with collision-avoidance (CSMA/CA) protocols in saturated traffic conditions is presented taking into account the impact of imperfect channel sensing. The imperfect channel sensing includes both missed-detection and false alarm and their impact on the performance of IEEE 802.11 is analyzed and expressed as a closed form. To include the imperfect channel sensing at the physical layer, we modified the state transition probabilities of well-known two state Markov process model. Simulation results closely match the theoretical expressions confirming the effectiveness of the proposed model. Based on both theoretical and simulated results, the probability of detection is concluded as a dominant factor for the performance of IEEE 802.11.

• Annual Conference of KIPS
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• 2016.10a
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• pp.216-219
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• 2016

차량 전 후방의 센서 감지 기법은 주행 중 차량 충돌을 예측하고 이를 운전자에게 알려줌으로써 사고를 예방하는 시스템이다. 안전운행을 위한 센서의 감지 기법과 센서 알고리즘에 대한 연구가 지속적으로 이루어지고 있으며 특히 센서 감지 효과가 매우 중요한 과제중의 하나이다. 본 연구는 이러한 센서 감지 효과에 관심을 가져 초음파 센서 회전을 이용한 센서 감지 정보 분석을 통하여 감지 효율성을 높이고자 한다. 따라서 본 연구에서는 초음파 센서 배치와 회전 실험의 결과를 통해 안전운전을 위한 센서의 배치와 회전정도를 제안한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.393-395
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• 2013

In modern society, the elderly over 65 years old are increasing due to development of medical technology and improvement of their standard of living. Severe fall of the elderly can lead to death threats. To solve this problem, several algorithms and hardware systems for fall detection have been studied and developed. In this paper, a fall detection system using 3-axial acceleration sensor is presented. In the fall detection system, several types of fall-feature parameters are calculated and then the fall is determined by using them. Using this system, best sensitivity and specificity are 98.3% and 94.7%, respectively.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.6
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• pp.141-146
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• 2015

In order to classify and analyze variously compounded sound and voice signal from FPGA microphone, there are numerous systems to detect abnormality signal, however, they have a lot of problems to implement the abnormality signal detection efficiently and effectively. Therefore, we proposed a method that implements classifying the signal effectively and outputting the detection efficiently based on the algorithm applied FIFO structure (First-in First-out) by using microphone sensor which able to input the sound signal, and statistical variance and coefficient of variation (CV). The result showed 96.3% detection when the experiment was performed more than 100 times with the proposed algorithm applied system.

• Journal of Convergence Society for SMB
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• v.6 no.3
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• pp.37-41
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• 2016

In this paper, we propose a fire alarm system that utilizes Wi-Fi to alarm multiple people at once. This system, based on Arduino, uses smoke, flame and temperature sensor units to sense fire and send detection data to a server via wireless communication system. The server uses stored data to relay current fire situations gathered from nearby sensors to smartphones. It also automatically reports the fire using location data from sensors. Using this system, we were able to retrieve fire alarm from sensors via push notification of our smartphone. We also confirmed the establishment of linkage with sensors and automatic report of fire via SMS. From this result, the possibility of sending real-time notifications via the Internet toward nearby smartphones about disasters such as conflagration has been proven to be feasible.