In this modern world, a massive amount of data is processed and broadcasted daily. This includes the use of high energy, massive use of memory space, and increased power use. In a few applications, for example, image processing, signal processing, and possession of data signals, etc., the signals included can be viewed as light in a few spaces. The compressive sensing theory could be an appropriate contender to manage these limitations. “Compressive Sensing theory” preserves extremely helpful while signals are sparse or compressible. It very well may be utilized to recoup light or compressive signals with less estimation than customary strategies. Two issues must be addressed by CS: plan of the estimation framework and advancement of a proficient sparse recovery calculation. The essential intention of this work expects to audit a few ideas and utilizations of compressive sensing and to give an overview of the most significant sparse recovery calculations from every class. The exhibition of acquisition and reconstruction strategies is examined regarding the Compression Ratio, Reconstruction Accuracy, Mean Square Error, and so on.
In wireless body sensor network (WBSN), the set of electrocardiogram (ECG) data which is collected from sensor nodes and transmitted to the server remotely supports the experts to monitor the health of a patient. While transmitting these collected data some adversaries may capture and misuse it due to the compromise of security. So, the major aim of this work is to enhance secure transmission of ECG signal in WBSN. To attain this goal, we present Pity Beetle Swarm Optimization Algorithm (PBOA) based Elliptic Galois Cryptography (EGC) with Chaotic Neural Network. To optimize the key generation process in Elliptic Curve Cryptography (ECC) over Galois field or EGC, private key is chosen optimally using PBOA algorithm. Then the encryption process is enhanced by presenting chaotic neural network which is used to generate chaotic sequences or cipher data. Results of this work show that the proposed cryptography algorithm attains better encryption time, decryption time, throughput and SNR than the conventional cryptography algorithms.
Talent development (TD) strategies are one of the most crucial aspects of talent management practices. They provide a competitive advantage to organizations. The present study aims to conduct a systematic literature review (SLR) on TD literature from 1990 to 2020. An extensive literature review has been performed wherein the literature has been segregated according to the years of their publication. The finding of the study highlights that TD has three distinct themes. These themes are related at the individual level, team level and organizational level. At the individual level, TD interventions focus on self-developmental activities such as gaining knowledge, building potential and enhancing job-specific skills. At the team level, the developmental interventions include communication skills, team-building efforts and leadership skills. Finally, TD focuses on mentorship, training and developing sustainable organizational culture at the organizational level. The study contributes towards organizing the fragmented body of literature related to TD. Furthermore, it provides a holistic approach to framing strategically aligned TD interventions that HR practitioners and organizations can implement. Finally, the study opens a window of opportunities for future research works in concerned field of TD.
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