Papiya Dutta

• Doctor of Philosophy
• Professor (Associate) at Bharat Institute of Engineering and Technology

The exponential development of the internet and electronic communications has led to a tremendous rise in the quantity of data exchanged. Intruders are always developing novel techniques to acquire or manipulate such data since they are so valuable. A rising number of such attacks pose a threat to the safety of the networks and is a formidable obst...

In Wireless Sensor Networks, Software Defined Networks (SDN) provide a logically centralized control plane as a potential means of streamlining network management (WSNs). The employment of several SDN controllers to build a physically distributed SDN is a common tactic to boost speed, expand scalability, and offer fault tolerance. However, the depl...

As a result of recent advancements in electronics technology, wireless sensor networks (WSNs) may now make use of a vast array of tiny sensors (WSN). WSN are viewed as problematic networks because of the environments in which they may operate and the technology they rely on. For instance, routing protocols need to be prepared for and capable of rec...

The horticulture industry is one of the most profitable and practical options for diversified farming. Through such ventures, bio-diversity conservation can be ensured in the north-east. Biodiversity loss has become a global concern, partly due to agricultural intensification. In such a scenario, the fruit growers wish to adopt environmentally frie...

Chemical fertilizers have aided farmers in increasing crop production. Despite the fact that the chemical fertilizers increased crop yield by manifolds, the harmful effects of chemical fertilizers cannot be ignored. It includes water pollution, chemical burn to crops, air pollution, etc. Organic farming is a method of farming system which primarily...

Many cutting-edge technologies, such as MIMO, cognitive radio, multi-carrier modulation, and network coding, have been proposed for wireless communication to satisfy needs for a higher data rate in the upcoming time, leading to improved quality of service (QoS) regardless of the weather. Orthogonal and non-orthogonal multiple access techniques are...

In this work performance comparison of Time frequency

Among the various palm print recognition techniques, coding technique is very effective and gives efficient results. In this coding method, gabor filters of four different orientation convolve with the palmprint image to extract the orientation information from the image. The imaginary part of each orientation is added pixel by pixel and then each...

In the field of Image handling, amid the transmission and procurement, pictures are adulterated by the diverse sort of commotion. In light of the commotion, nature of picture is diminished and different elements like edge sharpness and example acknowledgment are likewise severely influenced. DWT denoising is done only in detail coefficient, this of...

Reducing noise from single image, natural images, etc. is the challenge for the researchers in digital image processing. Several approaches are there for noise reduction. Different noise models including additive and multiplicative types are used. They include gauusian noise, salt and pepper noise, special noise and Brownian noise. In this project...

This paper discusses an image denoising technique which employs an SVR (Support Vector Regression) machine learning technique after performing wavelet transform on the image. Image denoising is an important image processing step in itself and as a pre processing part of some other image processing tasks. The paper proposes an algorithm for removing...

The nature of the information that f l o w s t h r o u g h o u t m o d e r n d a t a communications networks has evolved noticeably since the early years of the first generation systems, when only voice sessions were possible. With moderns networks it is requires to transmit voice and data, also e-mails, pictures and video. The importance of the se...

Recent improvements in communication technology have undergone a significant shift over the last two decades, with state-of-the-art communication equipment, standards, and protocols simplifying the lives of consumers everywhere. For more than a decade, advancements in communication technology have mostly focused on increasing the speed with which i...

The major challenge in the practical accomplishment of OFDM/SDMA system depends on the efficient implementation of a multiuser detection (MUD) technique that separates the spatially multiplexed signal streams. Several algorithms for MIMO detection for spatially-multiplexed signals have been developed till today. The MIMO MUDs that are mostly used i...

In recent years, the applications of Wireless Sensor Networks (WSNs) have been increased tremendously. In WSNs mechanis m used to enlarge the lifespan of network and provide mo re efficient functioning procedures that is clustering. Clustering is a procedure to subdivide the sensing field of sensor network into number of clusters. Each cluster sele...

In recent years, the applications of Wireless Sensor Networks (WSNs) have been increased tremendously. In WSNs mechanis m used to enlarge the lifespan of network and provide mo re efficient functioning procedures that is clustering. Clustering is a procedure to subdivide the sensing field of sensor network into number of clusters. Each cluster sele...

In this paper different audio denoising techniques are discussed. Most of the audio denoising techniques reduce Gaussian white noise from audio signals. Diagonal estimation techniques and non-diagonal estimation techniques are discussed. Different audio denoising techniques and noises are shown through the taxonomy.

This paper deals with the symbol timing issue of an OFDM system in fast varying channel. Symbol timing offset (STO) estimation is a major task in OFDM. Most of existing methods for estimating STO used cyclic prefix or training sequences. In this paper, we consider a new system for STO estimation using constant amplitude zero auto-correlation (CAZAC...

Cognitive radio has been considered as a key technology for future wireless communications and mobile computing. We note the cognitive radios can form cognitive radio networks (CRN) by extending the radio link features to network layer functions and above. A cognitive radio wireless sensor network is one of the candidate areas where cognitive techn...

Cognitive radio is a new promising technology that aims to alleviate the spectrum scarcity problem in wireless communications by allowing access of unlicensed (secondary) users to frequency bands that are allocated to licensed (primary) users, in a way that does not affect the quality of service (QoS) of the licensed networks [1], [2].In this paper...

Underwater image pre-processing is absolutely necessary due to the quality of images captured under water. When capture such images, quality of images degrade due to many factors like ripples in water, lack of availability of light, organic matter dissolved in water etc and also such images are captured from a very small distance, so the images mus...

As a subscriber becomes more aware of the mobile phone technology, he/she will seek for an appropriate package all together, including all the advanced features of a cellular phone can have. Hence, the search for new technology is always the main intention of the prime cell phone giants to out innovate their competitors. The wireless industries are...

An important advantage of cognitive radio is its ability to use the licensed frequency spectrum which is being utilized by the primary users. CR has two major roles viz. sensing and throughput optimization. In contrary to conventional methods of sensing viz. cyclostationarity, matched filter detection, maximum to minimum eigen value method etc., sp...

Among the various palm print recognition techniques, coding technique is very effective and gives efficient results. In this coding method, gabor filters of four different orientation are convolved with the palm print image to extract the orientation information from the image. The imaginary part of each orientation is added pixel by pixel and then...

The present scenario has observed a huge growth in communications. Few Applications say online banking, mobile banking, military communication, smartcards and many more have taken security in account as most desirable stuff. Cryptography and steganography are two methods are available secure data. But, to have the highly secure requirement for high...

An orthogonal space-time block code (OSTBC) along with a minimum-BER and high SNR is Proposed and analyzed. The aim is to reduce processing power and complexity at the receiver, as compared with a traditional OSTBC system proposed work is using a maximum ratio combining receiver. Also, it is been shown that the OSTBC with MS-GSC can achieve same pe...

Cognitive radio has attracted an increasing amount of interest over the past few years as an effective method of alleviating the spectrum scarcity problem in wireless communications. One of the most promising approaches in cognitive radio is the opportunistic spectrum access, which enables unlicensed users to access licensed frequency bands that ar...

An improved method for adaptive noise canceller (ANC) is proposed for noisy speech signal in case of random noise. In this approach, ANC is implemented through four different metaheuristic techniques. A comparative study of the performance of various metaheuristic techniques such as Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), Cu...

In this paper, an improved method based on evolutionary algorithm for speech signal denoising is proposed. In this approach, the stochastic global optimization techniques such as Artificial Bee Colony(ABC), Cuckoo Search (CS)algorithm, and Particle Swarm Optimization (PSO) technique are exploited for learning the parameters of adaptive filtering fu...

This paper presents an approach to automatic detection of fabric defects using digital image processing. In Textile industry automatic fabric inspection is important to maintain the quality of fabric. Fabric defect detection is carried out manually with human visual inspection for a long time. This paper proposes an approach to recognize fabric def...

This paper presents an approach to automatic detection of fabric defects using digital image processing. In Textile industry automatic fabric inspection is important to maintain the quality of fabric. Fabric defect detection is carried out manually with human visual inspection for a long time. This paper proposes an approach to recognize fabric def...

In the previous 20 years, wavelength conversion has received a considerable attention due to its strong influence on the blocking performance of wavelength-routed WDM networks. In a wavelength-routed WDM network, end users communicate with one another via all-optical WDM channels. In all-optical WDM channels optical fibre is used. Optical fibre is...

This paper presents study of a 6.78 MHz RF source with impedance matching network based inductively coupled plasma generator ignition system for an H-ion source. Two types of 10 turn RF antenna (solenoid coil) were developed, to couple the RF power to the ignition plasma chamber. The antenna's electric parameters were measured using Vector Network...

In this paper, we present a modified κ - ε model capable of addressing turbulent weld-pool convection in a GMAW process, taking into account the morphology of the phase change interface during a Gas Metal Arc Welding (GMAW) process. A three-dimensional turbulence mathematical model has been developed to study the heat transfer and fluid flow within...

This paper experimentally demonstrates a novel approach for process control that uses neural networks for gain prediction within nonlinear, multivariable and constraint accommodation. This strategy is implemented on a lab-scale, nonideal, methanol-water distillation column for servo, regulatory and constrained control. Experimental results also dem...

Steady-state models are simpler than dynamic models, and so it is preferable to use steady-state models for control. However, a guideline is needed to determine as to when steady-state models can be used and when dynamic compensation must be included. This paper develops quantitative measures that indicate where compensation must be used to elimina...

This paper demonstrates a novel approach for process control that uses neural networks to model the steady-state inverse of an electrically heated feed preheater. It is compared to conventional proportional-integral internal model and model predictive controllers