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Adam Kaliszan, Mariusz Glabowski, Sławomir Hanczewski, Dario Gallucci and Salvatore Vanini

, International Journal of Communication Systems, 2012 [5] T. Issariyakul, E. Hossain, Introduction to Network Simulator NS2, Springer Publishing Company, Incorporated, 1 edition, 2008 [6] A. Kaliszan, M. Gła˛bowski, S. Hanczewski, A didactic platform for testing and developing routing protocols, In Proceedings of the The Eighth Advanced International Conference on Telecommunications (AICT 2012), pages 197-202, Stuttgart, Germany, IARIA, May 2012 [7] A. Kaliszan, M. Gła˛bowski, S. Hanczewski, A new testing method of routing

Open access

Haocheng Shen, Jason Yosinski, Petar Kormushev, Darwin G. Caldwell and Hod Lipson

, J. C. Zagal, H. Lipson. Evolving Robot Gaits in Hardware: the Hyperneat Generative Encoding Vs. Parameter Optimization. - In: Proceedings of the 20th European Conference on Artificial Life, 2011. 13. Zykov, V., J. Bongard, H. Lipson. Evolving Dynamic Gaits on a Physical Robot. - In: Proceedings of Genetic and Evolutionary Computation Conference, Late Breaking Paper, GECCO, Vol. 4 , 2004.

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Gabriel Deak, Kevin Curran, Joan Condell, Daniel Deak and Piotr Kiedrowski


The holy grail of tracking people indoors is being able to locate them when they are not carrying any wireless tracking devices. The aim is to be able to track people just through their physical body interfering with a standard wireless network that would be in most peoples home. The human body contains about 70% water which attenuates the wireless signal reacting as an absorber. The changes in the signal along with prior fingerprinting of a physical location allow identification of a person’s location. This paper is focused on taking the principle of Device-free Passive Localisation (DfPL) and applying it to be able to actually distinguish if there is more than one person in the environment. In order to solve this problem, we tested a Support Vector Machine (SVM) classifier with kernel functions such as Linear, Quadratic, Polynomial, Gaussian Radial Basis Function (RBF) and Multilayer Perceptron (MLP), and a Probabilistic Neural Network (PNN) in order to detect movement based on changes in the wireless signal strength.

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Sayan Mandal, Samit Biswas, Amit Kumar Das and Bhabatosh Chanda

References [1] Agam, G., Argamon, S., Frieder, O., Grossman, D., Lewis, D. (2006). The Complex Document Image Processing (CDIP) test collection. Illinois Institute of Technology [2] Arai, H., Abe, S., Nagura, M. (1993, October). Intelligent interactive map recognition using neural networks. In Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on IEEE, 922–925 [3] Chaudhuri, B. B., Pal, U. (1997). An OCR system to read two Indian language scripts: Bangla and Devnagari (Hindi). In Document Analysis

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Zhang Hui and You Fei

Graphs for Testing Community Detection Algorithms. - Physical Review E, Vol. 78, 2008, No 4. 18. Zachary, W. W. An Information Flow Model for Confict and Fission in Small Groups. - J. Anthropol. Res., 1977, 452-473. 19. Lusseau, D., K. Schneider, O. J. Boisseau, P. Haase, E. Slooten, S. M. Dawson. The Bottlenose Dolphin Community of Doubtful Sound Features a Large Proportion of Long-Lasting Associations. - Behavioral Ecology and Sociobiology, Vol. 54, 2003, No 4, 396-405. 20. Newman, M. E. J. Finding Community Structure

Open access

S. Cheresharov, H. Krushkov, S. Stoyanov and I. Popchev

. – Cybernetics and Information Technologies, Vol. 11 , 2011, No 2, pp. 46-64. 4. Stancheva, N., A. Stoyanova-Doycheva, S. Stoyanov, I. Popchev, V. Ivanova. A Model for Generation of Test Questions. – Compt. Rend. Acad. bulg. Sci., Vol. 70 , 2017, No 5, pp. 619-630. 5. Stancheva, N., A. Stoyanova-Doycheva, S. Stoyanov, I. Popchev, V. Ivanova. An Environment for Automatic Test Generation. – Cyberbetics and Information Technologies, Vol. 17 , 2017, No 2, pp. 183-196. 6. Stoyanov, S., I. Ganchev, I. Popchev, M. O’Droma. An Approach for the Development of

Open access

Brandon Rohrer

Challenge Proposals for Cognitive Systems. Technical report, The MITRE Corporation. Version 1.5, Prepared for DARPA IPTO Brachman, R. J. 2006. (AA)AI more than the sum of its parts. AI Magazine 27(4):19-34. Carpenter, R., and Freeman, J. 2005. Computing machinery and the individual: The Personal Turing Test. Technical report, Jabberwacky. Cohen, P. R. 2005. If not Turing

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Wenju Wang, Zhang Xuan, Liujie Sun, Zhongmin Jiang and Jingjing Shang

References 1. Yu, Kanhua. Urban Planning Support System Based on Three Dimensional GIS. - IAES TELKOMNIKA Indonesian Journal of Electrical Engineering, Vol. 12, 2014, No 5, pp. 3928-3935. 2. Li, Chang, W. Shi, F. Li. The Scheme and the Preliminary Test of Object-Oriented Simultaneous 3D Geometric and Physical Change Detection Using GIS-Guided Knowledge. - Telkomnika - Indonesian Journal of Electrical Engineering, Vol. 11, 2013, No 12, pp. 7462-7469. 3. Toscano, E. S. A., V. Sorengo. 2Dand 3D GIS-Based Geological

Open access

Cunjiang Yu

-151. 4. Guibas, L. J. Tracking, Sensing and Reasoning with Relations. – IEEE Signal Processing Manazine, Vol. 19 , February 2002, pp. 73-85. 5. Rabaey, M. J., M. Ammer. Picoradio Supports Ad Hoc Ultra-Low Power Wireless Networking. –IEEE Computer Magazine, Vol. 33 , May 2000, pp. 42-48. 6. Warneke, B., M. Last. Communicating with a Cubic-Millimeter Computer. – IEEE Computer, Vol. 34 , May 2001, pp. 44-51. 7. Shih, E., C. Ickesn. Physical Layer Driven Protocol and Algorithm Design for Energy-Efficient Wireless Sensor Networks. – In: Proc. of ACM

Open access

Daqi Dong and Stan Franklin

References ACT-R 6.0 Tutorial. 2012. Unpublished manuscript. Retrieved from Albus, J. S., and Barbera, A. J. 2005. RCS: A cognitive architecture for intelligent multi-agent systems. Annual Reviews in Control, 29(1):87-99. Anderson, J. 2007. How can the human mind occur in the physical universe? : Oxford University Press. Anderson, J. R., Bothell, D., Byrne, M. D., Douglass, S., Lebiere, C., and Qin, Y. 2004. An integrated