Informatics Publishing Limited

Prafulla Bafna ¹, Samaya Pillai ¹, Dhanya Pramod ²

Affiliations
1 Symbiosis Institute of Computer Studies and Research (SICSR), Symbiosis International University (SIU), Atur Centre, Gokhale Cross Road, Model Colony, Pune – 411 016, Maharashtra, IN
2 Symbiosis Centre for Information Technology (SCIT), Symbiosis International University (SIU), Plot 15, Phase 1, Hinjawadi, Pune - 411057, Maharashtra, IN

Abstract

Objectives: The objective of the paper is study and select optimal set of parameters present in performance appraisal (PA). It will result into the best PA. For achieving this, the technique used is "feature selection" and "clustering" and it is supported with the data analytical tool "R". Methods/Statistical Analysis: The paper covers the data mining analysis. For achieving this, the technique used is "feature selection" and "clustering" and it is supported with the data analytical tool "R". Findings: This paper focuses on performance appraisal, the multiple parameters available; to be exact it is 34 parameters. To select set of parameters, 13 from the set of 34, which when focused by the employees can have optimum PA. For achieving this, the technique used is "feature selection" and "clustering" and it is supported with the data analytical tool "R". Applications/Improvements: Usable for every firm where employees have PA. In Organizations today, Human resource and performance appraisal has become very crucial. This is significant from the perception of both the management and the employees. The mechanism of measuring the performance appraisal has also evolved over a period. Recently there are multiple factors and parameters which are taken for measuring the performance appraisal of an individual employee. This complete process is very challenging for both, the employer and the employee. The employer i.e. the organization comes up with different mechanisms and keeps abreast with changing scenarios in order to be competitive in the industry. It is the employees who face the major difficulties in understanding and deciding what to address in their day to day work, which can get appreciation from the employers. Ultimately a good appraisal is every employee's desire

Keywords

Clustering, Data Analytical Tool R, Feature Selection, Performance Appraisal.

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Avinash Aslekar ¹, Samaya Pillai ¹, Vikas Kumar ², Akshay Borde ²

Affiliations
1 Symbiosis Institute of Telecom Management, Constituent of Symbiosis International (Deemed University), Maharashtra, IN
2 Symbiosis Institute of Telecom Management, Constituent of Symbiosis International (Deemed University), Maharashtra, IN

Abstract

Artificial Intelligence is the capacity for learning, reasoning, and understanding and makes the usefulness of the data available. The evolution of the small powerful computing platforms has opened many opportunities for the world of Prosthetics. This allows for more complex methods to be used to interpret the input from various sensors to build an image of the environment in which the prosthetic device is supposed to function. Not only is it possible to use mechanical sensors as input into such systems, but it is also possible to augment the control of mechanical actuators through the filtering of neural signals. The main outline of this paper is to show the importance of including AI in the procedures to plan Electromyography based model prosthetic arm, such that can emulate the activities like a genuine human arm. Current prosthetic gadgets have restricted usefulness and are taken a toll restrictive. Outlining a financially savvy prosthetic human hand is the significant concentration of this paper. This examination will fill in as a stage for future prosthesis advancement endeavors.

Keywords

Artificial Intelligence, Prosthetics, Amputee, Electromyography.

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