Debasish Bhaskar

Effect of Terminalia chebula Extract and Chlorhexidine on Salivary pH and Periodontal Health: 2 Weeks Randomized Control Trial

A double blind, randomized, controlled study with three parallel treatment groups was done to evaluate the efficacy of a Terminalia chebula 10% mouth rinse compared with chlorhexidine 0.12% mouth rinse, applied two times daily for 2 weeks, in the treatment of dental plaque and gingivitis. Seventy‐eight patients were included in the study. The efficacy variables were periodontal indices on days 0, 7 and 14 after commencement of therapy. Twenty six patients received chlorhexidine mouth rinse, twenty six Terminalia chebula mouth rinse and twenty six received saline solution. The clinical parameters were significantly reduced by both chlorhexidine and Terminalia chebula mouth rinse although no significant difference was seen between the two groups (P > 0.05). This study demonstrated that Terminalia chebula mouth rinse is effective in reducing microbial plaque, gingival inflammation and neutralizing salivary pH. Copyright

Target detection of ISAR data by principal component transform on co-occurrence matrix

Issue of automated target detection in ISAR can be stated as what features enhance objects of interest from the rest of the data. Much experimentation done in this area have used Fourier transforms for preprocessing the raw signal data. Generally the ISAR data are comes with a matrix of complex number values and therefore intuitive logic appears to favor a Fourier transform. A hypothesis was made that a Fourier transform in preprocessing may mask some data that could be part of feature used to threshold the object from background. Thus a trial was done on MATLAB simulated ISAR data to see if such data can be transformed into a matrix to visualize objects by preprocessing with principle component transform followed by some modification conventional thresholding techniques i.e. gray level co-occurrence matrix. Since it would be difficult to do so in complex valued matrices, these matrices had been decomposed to real valued and the imaginary valued matrices separately. Advantages of simulated data were that variables could be defined and changes in preprocessing transform and thresholding result could be compared with significant accuracy before a trial with actual performance of ISAR imagery. The preliminary result in this paper does show that preprocessing transform need not be Fourier. Principle component transform may bring about features that enhance thresholding values for Automatic target detection. Thresholding in conventional methods is done by finding a fixed value to create a binary image highlighting the object. In the modification proposed here single value thresholding objects and then spatially locating the object in a binary matrix may circumvented.

Contemporary MMSE and ZF receiver for V-BLAST MIMO system in Nakagami-m fading channel

In this paper the BER and capacity performance of the V-BALST MIMO systems with Minimum mean square error (MMSE) and zero forcing (ZF) receiver over Nakagami-m channel is investigated. Both the bit error rate (BER) and capacity of MIMO systems have been analyzed with different modulation techniques and also with different configuration of MIMO systems. The simulated results have been verified by using corresponding mathematical calculation.

Review and Design of UWB Transmitter and Receiver

Impulse radio communication systems and impulse radars both utilizes very short pulses in transmission that results in an ultra-wideband spectrum. This paper discusses the various techniques for transmission of the UWB impulses and also some receiver techniques. Also the design consideration for THSS-UWB transmitter using Matlab Simulink block is presented. General Terms Pulse Position Modulation, FCC’s First Report and Order Cross Correlation.

Narrowband Hybrid Beamformation System for Doable mmWave 5G Mobile Communication System

This paper introduces a new high-performance narrowband Hybrid Beamformation (HBF) system for upcoming mmWave-based 5G system. HBF system overcomes the pitfall of narrowband Analog only Beamformation and narrowband Digital only Beamformation. Next-generation 5G communication system will be taking the advantage of millimeter wave (mmWave) frequencies band that inherits signal fading and immense propagation loss. The move toward the mmWave spectrum facilitates the use of shorter wavelength. This facilitation makes possible for small antennas to focus its radiated signals into narrow beam to compensate for signal fading and path loss. An enhanced version of antenna gain with much focused antenna beam with HPBW of almost 11° with gain of 23.45 dB has been obtained in this paper. Assuming that both BS and MS have prior knowledge of the narrowband mmWave channel, we were able to achieve very low BER of almost zero when good signal strength was maintained after Beamformation.

Introducing 5G Front-End Femtocell to Improve 4G Network Performance

The rapid pace at which data traffic is increasing day by day in wireless networks is a matter of concern. Thus, developing reliable solution that can handle this ever-growing data traffic is vital. 5G-based cellular networks have several distinct benefits. First and foremost, it will be able to deliver services similar to a fiber-based broadband network. This is a significant performance improvement over previous radio access technology. In this work, FBMC-based 5G front-end Femtocell has been introduced. This introduction has helped to improve the performance of existing LTE-based 4G JIO radio access. The designed model and proposed infrastructure help to achieve a very high data throughput of the order of 1 Gbs per second and good signal strength with reduced BER.

5G Technology Enabling the Wireless Internet of Things

New technology trend has been initiated worldwide for the exploration of IoT using 4G and 5G mobile communications, cloud RAN, and extended coverage beyond the coverage area of mobile network. Motivated by the above trends, ECE Department, SMIT has started to build one test bed for IoT using 5G. At first, some recent papers are reviewed toward practical perspective on IoT in 5G network issues related to (i) latency critical IoT applications in 5G, (ii) efficient IoT gateway over 5G wireless, and (iii) efficient 5G small cell planning with eMBMS for optimal demand response in smart grids. This paper will discuss the detailed development efforts to achieve the IoT test bed. Efforts are rendered to make the test bed as a high-end research facility, industrial consultancy, and support toward 5G-enabled wireless IoT.

Joint MTI and ISAR RADAR for intelligent transport system

Research works are initiated worldwide towards the development of Software defined radar (SDR) system operating jointly to change radar modes from Inverse synthetic aperture RADAR (ISAR) imaging to moving target indication (MTI), or adapt its waveform based on environmental conditions and/or information derived from previous RADAR interrogations. These adaptations can be performed manually or they may be automated through software. In the later case the system becomes cognitive RADAR. In this paper, we designed a joint moving target indication (MTI) and Inverse synthetic aperture RADAR (ISAR) RADAR system for intelligent transport system (ITS). We have processed the vehicular target return data using MTI to extract the velocity and also through the ISAR processing to have the location and type of vehicle information through ISAR imaging.

Improvement in Target Detectability Using Spread Spectrum Radar in Dispersive Channel Condition

With the advent of digital technologies, the pseudo LFM digital radar using polyphase code is gaining popularity as compared to once popular Analog LFM Radar. Benefits include improved target detection and avoidance of channel impairments by exploiting the higher processing gain of Polyphase codes. In this paper attempt has been made towards realizing such high performance spread spectrum radar. Latest equipments including AWG, VSG, and VSA are used for the realization. By eliminating channel impairments, the detectability of the target is extended towards target imaging which would lead to target classification.

Cognitive approach for target detection

This work presents image reconstruction from inverse synthetic aperture radar (ISAR) data, obtained by illuminating the target with pulsed LFM transmitted signal. This works also shows the cognitive approach for the resolution of the target when the targets are in the clutter environment and when the targets are overlapped. In this paper we implement clutter environment and cognitively detect and distinguish the target using MATLAB. We also show that, by keeping in track the knowledge of the environment and then reject these environmental noises with the target.