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Person Identification is the important issue in the modern computing environment. Biometric recognition systems provide enormous user support for authentication services instead of the tradition authentication systems such as token based or password methods and so on. But still a hacker can steal the template information and reconstruct the original biometric trait of the authenticated user. In order to solve this issue, many encryption approaches such as key binding approaches and key generation approaches are proposed. All these methods have their own merits and demerits with respect to providing template security. Less error rate with improved recognition and security are the key challenging issues in most of the existing models. This paper proposes a novel transformation approach based on a complex user defined tree, which overcomes most of the drawbacks of the existing systems. This method extracts the feature vectors and perform some kind of shuffling operation based on dynamic user generated tree logic and store the completely reordered feature sets into the database. From the hacker perspective it is very hard to reconstruct the original fingerprints from the template database. Moreover, the proposed method achieves 1.37 % Equal Error Rate (EER). Hence, the proposed system improves the security without affecting the traditional matching performance.

Monitoring patient's blood oxygen saturation (SpO 2 ) levels using pulse oximeter is important to physician. SpO 2 is also one of the major parameter that is being monitored to assess the respiratory health in Covid-19 infected patients during the ongoing pandemic. In pulse oximeters, the motion artifacts (MA), due to voluntary or involuntary movement of patient, will disturb the morphology of the photoplethysmographic (PPG) signals acquired through a finger/forehead sensor resulting in inaccurate SpO 2 values. The current work is focused on an efficient adaptive filtering method for MA reduction, which uses a wavelet reconstructed secondary MA noise as reference signal. It eliminates the use of an external sensor to be employed for estimating MA signal. This method while reducing the MA restored the PPG morphology and respiratory components facilitating accurate estimation SpO 2 , heart rate (HR).

The advent of IOT has resulted in explosion of connected devices. These devices generally have limited computing capabilities and to overcome this there is a new distributed computing architecture in the form of edge computing. In this paradigm some part of the computation is performed at the edge of the network and the rest either in the end point nodes or the cloud depending on the task that needs to be completed. This method opens new challenges specially in the form of resource allocations in the edge computing framework. In this work we shall be looking into the major resource allocation paradigms present and new approaches to this problem

Neuronflow is a neuromorphic, many core, data flow architecture that exploits brain-inspired concepts to deliver a scalable event-based processing engine for neuron networks in Live AI applications. Its design is inspired by brain biology, but not necessarily biologically plausible. The main design goal is the exploitation of sparsity to dramatically reduce latency and power consumption as required by sensor processing at the Edge.

This paper presents a systematic analysis, design, detailed simulation and experimental results for a boost integrated half-bridge step-up dc-to-dc converter with high-frequency transformer isolation and voltage doubler rectifier for use with photovoltaic (PV) module output and other energy applications. Based on the steady-state analysis and design equations, a systematic design procedure is illustrated with a design example of 400W, 200V output converter with an input voltage of 40V to 80V. PSIM simulation results are given to evaluate the performance of the designed converter and an experimental converter was built to verify this. These results demonstrate soft-switching characteristics of the converter for the complete range. This dc-to-dc converter can form the front-end of utility interfaced PV array converter system and other step-up dc-dc converter applications requiring high-frequency transformer isolation.

This paper presents operation, analysis, design, simulation and experimental results for a fixed-frequency half-bridge dual tank high-frequency (HF) transformer isolated soft switching LCL-type series resonant dc-dc converter and its performance comparison when Si and SiC MOSFETs are used. Operation of the converter is presented with operating waveforms and equivalent circuits for different intervals. Approximate analysis approach is used to obtain design curves and design equations. A 300 W, 300 V output converter switching at 100 kHz is designed to illustrate the design procedure. PSIM simulation results are given to evaluate the performance of the designed converter. An experimental converter is built to test the performance of Si and SiC MOSFETs. It is shown that SiC MOSFETs operate with an efficiency of 97.1% at full load and at 93.7% at 20% load. This converter can be used in alternate energy applications, such as PV array, and can provide step-up operation with HF transformer isolation and high efficiency.

In today's materialistic world security holds an indispensable place. There is a need for security in almost every sector of the society. To overcome the threat, a security system has been proposed using Fingerprint Authentication. Storing the fingerprint template as it is in the database, results in the compromise of one's identity if the database is stolen or hacked. Henceforth, the template has to be made secure by applying a transformation that makes the attacker's possibility of revoking back to the original Fingerprint Template infeasible. This approach uses three different transformations to secure the template. Three different transformation functions namely Conformal, Isogonal and Indirectly Conformal mapping functions are selected and are applied to the original fingerprint template and the effectiveness of each transformation is comparatively analyzed. The main objective of this system is to design and implement a fingerprint biometric security system to transform the original template that is free from all the vulnerabilities by reducing the False Acceptance Rate and improving the False Rejection Rate. The system using conformal mapping has an Equal Error Rate (EER) of 2.8%, the system using isogonal mapping has an EER of 3% and finally the system using indirectly conformal mapping has an EER of 2.7%.

Even today fifty percent of India’s working force is employed in agriculture and agro related industries. Which contributes 17 to 18% of India’s GDP as of 2018. With that context, many farmers face problems in getting good agriculture yield and price for the products they produce and there are no proper guidance with respect to upcoming techniques and technology platforms where they can easily discuss and clarify their issues regarding the agriculture related topics. Hence, here is a new strategy to find solutions for all such issues and provide a platform to better knowledge sharing and enhancing the opportunities. A Web app for updating about the crop growth and monitoring in real time so as to keep the yield in better possible way. Also, an online discussion forum that would help farmers at a different location to remotely communicate and get the suggestion instantly. Unlike the normal web app, this web app model is hosted in the Customized cloud server (servers) which act as a reliable and efficient environment. The Innovative cloud servers are not only reliable with service but also provides many advantages like scalability, availability and cost-effectiveness. The server will be very robust in running the process in multiple operating systems without any delay or lag for the farmers. In this paper we propose a framework for increasing the agriculture yield using distributed computing with low cost approach.

In this paper, we propose a new method by combining the wavelet transform (WT) with singular spectrum analysis (SSA) named multi-scale SSA (MS-SSA) for channel estimation (CE) of OFDM transceiver systems. Recently, the de-noising based CE methods attracted the researcher's attention, which motivated to use WT for denoising in combination with SSA for low rank approximation of channel correlation matrix. Multi resolution analysis (MRA) capability of WT eliminates the correlated noise components which made the improved bit error rate (BER) performance of the proposed MS-SSA based method compared to SSA and singular value decomposition (SVD) methods.

The system in which wireless device self configure, establish and communicate from one end to the other using wireless channel with no existing fixed network is known as Mobile ad hoc network (MANET). The MANET is another varient of Ad-hoc network, which creates short-lived network using wirelss mobile devices. In ddition to MANET, the behaviour of this kind of temporary networks depends on routing protocols. The large number of routing techniques has been presented in the literature, but it is also been stated that routing is one of the key research issue even till today. This research article examines the performance of nature inspired algorithm such as Petal Ant Routing (PAR) with classical based routing such as Dynamic source routing in MANET. The simulation of both routing is carried using Network Simulator (NS2 version 2.35) and evaluted for different network parameters.

Mobile Adhoc Networks (MANET) is infrastructureless based wireless network which enable peoples to communicate, exchange and share information between them in easy and efficient manner. MANET is one the most popular and important types of wireless networks that used in the mobile communication systems. Moreover, the operation of this kind of wireless networks rely on routing protocols. In MANET, the routing protocols are used to establish the data path in multi-hop fashion between the end nodes. The primary aim of such routing protocol is to transmit the data packets even if the link changes. The designing of routing protocols is one of the interesting research area and challenging task because of limited resources such as bandwidth, storage, transmission range and battery power. Though a number of routing solutions (proactive, reactive and hybrid) have been proposed aiming to fulfill some of these QoS requirements but it is hard to support all the requirements at the same time. Therefore, the routing protocols in MANET have become one of the key important research directions in the last decades. This article provides the brief comparity analysis of classical based routing protocols (AODV and S-AODV) and nature inspired algorithms (SARA and PAR).

Bidirectional converters form an integral part of alternate energy systems and electric vehicles. High-frequency transformer isolated dual full-bridge series resonant converter (SRC) has electrical isolation with high efficiency due to soft switching and operates with a small variation in phase-shift angle. In this paper, a high-frequency transformer isolated bidirectional dual half-bridge SRC is designed and first simulated to verify its operation with variations in input/output voltages and load. Then a 100 W prototype experimental converter is built based on the design. This converter is used to test the performance of Si and SiC MOSFETs. It is shown that SiC MOSFETs operate with higher efficiency compared to Si MOSFETs especially at light load conditions.

A major driver for the development of power electronics has been microelectronics and motor drive applications. The success and impact of this development can be seen today in the ubiquitous IT infrastructure which we depend upon for virtually every aspect of our life, and the millions of electric vehicles that will eventually displace vehicles based on internal combustion engines. From power system perspective, however, these applications are on the load side and their impacts on the system are not as prefund as power electronics that started to proliferate on the generation and transmission side in recent years due to the rapid development of renewable energy and high-voltage dc (HVDC) trans mission. Compared to electromechanical and electromagnetic energy conversion devices such as generators and transformers that use slow (or no) control and can endure large overvoltage and overcurrent for long time, power electronics employ much faster control but have very limited overloading capabilities. These two fundamental characteristics, determined by semiconductor physics, complement each other at the device and converter level, but each is in conflict with certain aspects of how today's power grid is designed and operated. Namely, fast control creates complex dynamics and resonance problems in the high frequency range that don't exist in traditional power systems, while the need to protect a converter itself can be very detrimental to system transient stability. This talk reviews the technology and application of power electronics in renewable energy generation and HVDC transmission systems, and discusses their impacts on grid stability. System modeling and analysis based on a new small-signal sequence impedance theory is also presented as an effective method for the analysis and mitigation of highfrequency resonance problems that have become a major challenge for the development and operation of HVDC and large-scale renewable energy systems in recent years.

This paper extends the concept of q-ZS and introduces a new single-phase improved quasi-ZS ac-ac converter, which is developed by different arrangement of components in conventional Z-source ac-ac converter. In addition to all the merits of the conventional ZS and q-ZS ac-ac power convertors, this proposed improved q-ZS topology have high frequency isolation for safety, low voltage stress, high power density and improved pf. This paper presents the performance analysis of improved q-ZS ac-ac converter with HFTI, which can manage the phase angle of the load voltage as compared to supply voltage even in buck mode, that is very difficult in other ZS ac-ac converters. Simulation results demonstrate the new features of improved quasi-ZS ac-ac converter.

Preserving privacy is becoming a key apprehension as personal data is publicly available in recent years. Most of the present Privacy Preserving Data Publishing (PPDP) methods could not process multiple, heterogeneous sensitive attributes with different levels of sensitivity requirements. This motivates us to suggest a novel methodology that can handle multiple heterogeneous (both numerical and categorical) sensitive attributes. Unlike the existing methods that applies same amount of privacy for all the data records without considering record owner's concrete needs, our technique considers Personal Sensitivity Rating Flags (PSRF) from record owners and apply privacy preserving techniques on those records that actually needs it. Also the correlation among the attributes is calculated and based on this correlation, highly correlated attributes are generalized as minimum as possible by generalizing other attributes more. Therefore our approach will preserve sufficient privacy by retaining maximum amount of information from original data. Our proposed technique is theoretically analyzed and mathematical analysis surpasses earlier works with sufficient experiments.

The impedance source converters are becoming popular in ac-dc, dc-dc, ac-ac and dc-ac power conversion. Different designing methods among these impedance network are used for the construction of impedance source network, in which quasi impedance source network is very popular. The quasi-impedance source network is designed with the different component arrangement of the conventional impedance source network. In this paper, the comparative analysis of isolated and non-isolated quasi-impedance source AC-AC converter is presented. Both topologies contain all the merits of the conventional impedance source AC-AC Converter as well as additional benefits. MATLAB simulation result of both the techniques are presented in this paper.

The design of a converter as an example of a high power (>10 kW), fixed frequency controlled three-phase DC-DC LCL-type series resonant converter (SRC) with integrated boost function is described. The specifications of the converter are chosen to match the rating of a linear generator (LG) used in wave energy generation application. The performance of the designed converter has been verified by using PSIM simulation software. The zero-voltage-switching (ZVS) of all the switches is accomplished by designing the converter to operate in the lagging pf mode for a wide input voltage and load variations. Theoretical and simulation results have been compared and presented in the form of a table. Power loss break-down analysis of the designed converter has been done and the summary of results is presented.

OFDM is being widely used in wireless communication systems for its ability to reduce the bandwidth and enhance the data rate. The scheme provides robustness against interference and can adapt easily to fading scenarios. This paper gives a comparison of channel performance using various modulation techniques over different fading environments. Modulation schemes include BPSK, QPSK, 64-QAM which have been employed under the influence of AWGN, Rayleigh, flat fading, frequency selective and Rician fading channels. BER (Bit Error Rate) and SNR (Signal to Noise ratio) functions are used to analyze the performance of data transmitted over these channels.