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Sensor Fusion for Intrusion Detection With Sensor Networks

References [1] Mimbela, L.E.Y., and Klein, L.A., “Summary of vehicle detection and surveillance technologies used in intelligent transportation systems.” Federal Highway Administration’s (FHWA) Intelligent Transportation Systems Joint 2000. [2] Freescale Semiconductor, “Xtrinsic MAG3110 Three-Axis, Digital Magnetometer Data Sheet”. Online: http://www.freescale.com/files/sensors/doc/data_sheet/MAG3110.pdf [3] B. Koszteczky, G. Simon, „Magnetic-based vehicle detection with sensor networks“, in Proc. 2013 IEEE

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An ammonia sensor based on in situ-synthesized polyaniline nanostructures

] Stęplewska U., Maćkowiak K., Kuleta P., Przemysł Spożywczy, 9 (2007), 18. [6] Stęplewska U., Maćkowiak K., Kuleta P., Technika Chłodnicza i Klimatyzacyjna, 5 (2007), 211. [7] Manigandan S., Jain A., Majumder S., Ganguly S., Kargupta K., Sensors and Actuators B: Chemical, 133 (2008), 187. http://dx.doi.org/10.1016/j.snb.2008.02.020 [8] Crowley K., O’Malley E., Morrin A., Smyth M., Killard A., Analyst, 133 (2008), 391. http://dx.doi.org/10.1039/b716154a [9] Laska J

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Development of Motion Detection Algorithms Based on Simultaneous Execution Using Mobile Phone Sensors

Algorithm”, Presented at International Conference on Indoor Positioning and Indoor Navigation , Oct. 2013. [4] Cruz-Silva, N., Mendes-Moreira, J., Menezes, P., “Features Selection for Human Activity Recognition with iPhone Inertial Sensors”, Presented at Portuguese Conference on Artificial Intelligence , 2013. [5] Das, S., Green, L., Perez, B., Murphy, M., “Detecting User Activities using the Accelerometer on Android Smartphones”, Jul. 2010. [6] Cerqueira da Silva, J. R., “Smartphone Based Human Activity Prediction”, M.S. thesis, Faculdade de

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Discrete Path Selection and Entropy Based Sensor Node Failure Detection in Wireless Sensor Networks

References 1. Lee, M. H., Y.-H. Cho. Fault Detection in Wireless Sensor Networks. - Elsevier Computer Communications, 2008, pp. 3469-3475. 2. Akbari, A., A. Dana, A. Khademzadeh, N. Beikmahdavi. Fault Detection and Recovery in Wireless Sensor Network Using Clustering. - IJWMN, Vol. 3, February 2011, No 1, pp. 130-138. 3. Song, C.-C., C.-F. Feng, C.-H. Wang, D.-C. Liaw. Simulation and Experimental Analysis of a Zig Bee Sensor Network with Fault Detection and Reconfiguration Mechanism. - In: Proc. of 8th ASCC, May

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SoC as IoT sensor network hub

R eferences [1] Z. Arkady, Ch. Perera, and D. Georgakopoulos. “Sensing as a service and big data.”, Proc. of the International Conf. on Advances in Cloud Computing (ACC), Bangalore, India, July, 2012. [2] F. Sheikh, and X. Li. “Wireless sensor network system design using Raspberry Pi and Arduino for environmental monitoring applications.”, Procedia Computer Science 34, 2014, pp. 103-110. [3] Singh K.J., Kapoor D.S. Create Your Own Internet of Things: A survey of IoT platforms. IEEE Consum. Electron. Mag. 2017;pp. 6:57–68 [4] N.Q. Mehmood

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Optimization Schemes For Wireless Sensor Network Localization

References Anderson, B. D. O., Mao, G. and Fidan, B. (2007). Wireless sensor network localization techniques, Computer Networks   51 (10): 2529-2553. Biswas, P. and Ye, Y. (2004). Semidefinite programming for ad hoc wireless sensor network localization, IPSN '04: Proceedings of the 3-rd International Symposium on Information Processing in Sensor Networks, Berkeley, CA, USA , ACM Press, New York, NY, pp. 46-54. Borchers, B. (1999). CSDP, a C library for semidefinite programming

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Application of Acceleration Sensors in Physiological Experiments

References [1] ALTINI, M.-PENDERS, J.-VULLERS, R.-AMFT, O. : Combining Wearable Accelerometer and Physiological Data for Activity and Energy Expenditure Estimation, In: Proceedings of the 4th Conference on Wireless Health, 2013. [2] YANG, S. I.-CHO, S. B. : Recognizing Human Activities from Accelerometer and Physiological Sensors, In: IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2008, pp. 100-105. [3] ROBERTSON, W.-STEWART-BROWN, S.-WILCOCK, E.-OLDFIELD, M

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Micro Fluxgate Sensor using Solenoid Coils Fabricated by MEMS Technology

References [1] Liakopoulos, T.M., Ahn, C.H. (1999). A microfluxgate magnetic sensor using micromachined planar solenoid coils. Sensors and Actuators A: Physical , 77, 66-72. [2] Primdahl, F. (1979). The fluxgate magnetometer. Journal of Physics E: Scientific Instruments , 12, 241-253. [3] Lenz, J.E. (1990). A review of magnetic sensors. Proceedings of the IEEE , 78 (6), 973-989. [4] Ripka, P. (2000). New directions in fluxgate sensors. Journal of Magnetism and Magnetic Materials , 215

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Target Identification Using Sensors of Different Nature

Tehniskā Universitāte, 2014. [8] S. Rodríguez-Jiménez, N. Burrus, and M. Abderrahim, “A-Contrario Detection of Aerial Target Using a Time-of-Flight Camera,” Sensor Signal Processing for Defence (SSPD 2012), 2012. https://doi.org/10.1049/ic.2012.0110 [9] A. Canclini, L. Baroffio, M. Cesana, A. Redondi, and M. Tagliasacchi “Object recognition in visual sensor networks based on compression and transmission of binary local features,” [Online]. Available: http://www.icassp2014.org/files/ST/1569921811%20-%20Object%20recognition%20in%20visual%20sensor%20networks

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Helicon Resonator based Strong Magnetic Field Sensor

References Lenz, J.E. (1990). A review of magnetic sensors. Proceedings of the IEEE , 78 (6), 973-989. Michael, J.C., Bratland, T., Smith, C.H., Schneider, R. (1998). A new perspective on magnetic field sensing. Sensors Magazine , 15 (12), 34-46. Bartkevičius, S. et al. (2006). Data processing of manganite sensors array for measurements of nonhomogeneous pulsed magnetic field. Electronics and Electrical Engineering , 4 (68), 69-72. Palik, E.D., Furdina

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