Academic Year 2016-2017  

  • Title :- N- Dimensional Polar FSK
    Paper:- presented and published
    Level :- international

    By: prof. biju pillai
    Organizer :- IEEE
    Venue :- ICCPEIC-2017 at Melmaruvathur, Chennai
    Date: 23/03/2017

    Biju Balakrishnan “N- Dimensional Polar FSK,” in the IEEE sponsored 6th International Conference on Computation of Power, Energy, Information & Communication, ICCPEIC-2017 at Melmaruvathur, Chennai, March 22-23, pp.018-022.


  • Title :- N- Dimensional Quadrature Frequency Shift Keying
    Paper:- presented and published
    Level :- international

    By: prof. biju pillai
    Organizer :- IEEE
    Venue :- ICCPEIC-2017 at Melmaruvathur, Chennai
    Date: 23/03/2017

    Biju Balakrishnan “N- Dimensional Quadrature Frequency Shift Keying,” in the IEEE sponsored 6th International Conference on Computation of Power, Energy, Information & Communication, ICCPEIC-2017 at Melmaruvathur, Chennai, March 22-23, pp. 049-052.


  • Title :- Bandwidth and power efficient 3- Dimensional FSK
    Paper:- presented and published
    Level :- international

    By: prof. biju pillai
    Organizer :- ICWET 2017
    Venue :- TCET, Kandivali
    Date: 25/02/2017

    1. Biju Balakrishnan “Bandwidth and power efficient 3- Dimensional FSK,” in the International Conference and Workshop on Electronics and Telecommunication Engineering, ICWET-2017 at Mumbai, February 24-25, pp. 56-61.


  • Title :- Power and Spectrally Efficient 4-Dimensional Quadrature Frequency Shift Keying
    Paper:- presented and published
    Level :- international

    By: prof. biju pillai
    Organizer :- ICWET 2017
    Venue :- TCET, Kandivali
    Date: 25/02/2017

    2. Biju Balakrishnan “Power and Spectrally Efficient 4-Dimensional Quadrature Frequency Shift Keying,” in the International Conference and Workshop on Electronics and Telecommunication Engineering, ICWET-2017 at Mumbai, February 24-25, pp. 52-55.


  • Title :- Node level energy consumption analysis in 6LoWPAN network using real and emulated Zolertia Z1 motes
    Paper:- presented and published
    Level :- international

    By: dr. shubhangi kharche
    Organizer :- IEEE 10th ANTS
    Venue :- IISC Bangalore
    Date: 08/11/2016

    In IPv6 Over Low Power Wireless Personal Area Networks (6LoWPAN) the network reliability, availability and lifespan depends on the energy consumed by the wireless sensor motes as well as the network as a whole. In order to improve the aforementioned parameters the energy consumption must be kept at minimum. The mote and network level energy consumption is evaluated, analyzed for real and emulated Zolertia Z1 motes so as to know the factors on which it depends. The mote level energy consumption is evaluated based on the amount of current drawn and the supply voltage for the time spent by the mote in processing, transmitting and receiving the packets. To ease the evaluation on per mote basis a small scale 6LoWPAN is considered. The network level energy consumption is evaluated based on the routing protocol overhead, the neighbor discovery protocol (NDP) overhead, the received signal strength indication (Received Signal Strength Indication), the positions of the motes, the percentage duty cycle and various states of motes like processing, receiving and transmitting. Three major observations are drawn from the experiments and simulations; First, maximum energy is consumed at the mote level in receiving state and found to be higher than that in transmitting and processing states on an average by 10.94 and 27.24 percent respectively. Second, energy consumed at the network level depends on the composite effect of the received signal strength, average overhead bytes in control as well as in data packets, the percentage duty cycle of the motes and activities carried out by the motes in various states. Third, the data transmission efficiency of the motes depends on the received signal strengths.


  • Title :- Image hashing by SDQ-CSLBP
    Paper:- presented and published
    Level :- international

    By: dr. varsha patil
    Organizer :- International Conference on Advances in Computing, Communications and Informatics (ICACCI)
    Venue :- Jaipur, India
    Date: 23/09/2016

    Approach for image hashing is to use powerful feature descriptor which captures essence of an image. Applications of image hashing lies in the area of content authentication, structural tampering detection, retrieval and recognition. Hashing is a compact summarized information of an image. Center Symmetric Local Binary Pattern (CSLBP) is one of the powerful texture feature descriptor which captures the smallest amount of change. Using CSLBP, appressed hash code can be obtained for an image. If CSLBP feature is weighted by a boost factor, it will enhance success rate of an image hashing. The proposed method of SDQ-CSLBP extract texture feature using CSLBP with standard deviation as weight factor. Standard deviation which represents local contrast is also a powerful descriptor. Resultant histogram of CSLBP is of 16 bin for each block of an image. Further it can be compressed to 8 bin by using the flipped difference concept. Without a weight factor, compressed CSLBP has low discrimination power. Experimental results show that the proposed method is robust against content preserving manipulation and sensitive to content changing and structural tampering.


  • Title :- 14N NQR spectrometer for explosive detection: A review
    Paper:- presented and published
    Level :- international

    By: dr. preeti hemnani
    Organizer :- IIIT pune
    Venue :- IIIT,Pune
    Date: 10/09/2016

    The explosive detection via NQR is based on presence of 14 N as all explosives usually contain nitrogen. The detected nitrogen nuclei contained in explosives and other nitrogen containing materials gives different frequencies and also different explosives have their own NQR frequencies, explosives can be detected and uniquely identified by 14 N NQR frequency. A Review on research and development in the field of detection of 14 N using NQR has been presented in this paper.


  • Title :- Expert System for Generating Teaching Plan based on Measurable Learning Objectives and Assessment
    Paper:- presented and published
    Level :- international

    By: dr. deepti patil
    Organizer :- University of Texas, USA
    Venue :- University of Texas, USA
    Date: 27/07/2016

    IEEE 16th International Conference on Advanced Learning Technologies (ICALT), 2016.


  • Title :- Image hashing using AQ-CSLBP with double bit quantization
    Paper:- presented and published
    Level :- international

    By: dr. varsha patil
    Organizer :- IEEE
    Venue :- Warsaw, Poland
    Date: 09/06/2016

    This paper presents a novel image hashing method for authentication and tampering detection. Creation, modification and transfer of multimedia data becomes an easy task due to digitization. Integrity is very important for crucial and sensitive matters like medical records, legal matters, scientific research, forensic investigations and government documents. Image hashing is one of the popular method to maintain integrity of image. We proposed AQ-CSLBP (Average Compressed Center Symmetric Local Binary Pattern) as a feature descriptor for image hashing. First, image is divided into sub blocks, AQ-CSLBP is applied on each sub block to generate 8 bin histogram as a feature. Then, we used double bit quantization to generate hash code for the image. The proposed method is compared with the existing methods by way of quantitative analysis, it has been proved that the proposed method works well in authentication scenario with less hash length and more discrimination power.


  • Title :- Image Hashing by CCQ-CSLBP
    Paper:- presented and published
    Level :- international

    By: dr. varsha patil
    Organizer :- IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)
    Venue :- Pune, India
    Date: 19/01/2016

    Recent trends and also statistics show that the hashing concept has been gaining importance because its application lies in the area of authentication, retrieval and recognition. The proposed hashing method CCQ-CSLBP (Compressed CSLBP with Correlation Coefficient) for authentication utilized correlation coefficient as a weight factor in CSLBP. CSLBP is a texture operator, whose performance is better than LBP, in terms of rotation invariance, differentiation power and less number of histogram bin. In CSLBP, histogram of each sub block is represented by 16 bin. Reduction in number of histogram bin is achieved by the flipped difference concept. Proposed method takes the advantage of correlation coefficient as a boosting factor during histogram construction, to increase the discrimination power of compressed CSLBP. With the use of correlation coefficient, results of CSLBP improved, in terms TPR and FPR. CCQ-CSLBP is evaluated, based on normalized hamming distance and ROC characteristics.