Factors Affecting Stress and Job Satisfaction its Impact on Performance of Medical Representatives at Central Kerala Region with Special Reference to Era of Coronavirus (COVID-19)

19c96fd51791d8d23b92aa6 20210924064603713 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 09 30 2021 10 3 10.35940/ijrte.10.3 https://www.ijrte.org/download/volume-10-issue-3/ Factors Affecting Stress and Job Satisfaction its Impact on Performance of Medical Representatives at Central Kerala Region with Special Reference to Era of Coronavirus (COVID-19) –Pandemic Outbreak. M.B.A,M.Phil, Ph.D Scholar, Nehru college of Management Thirumalayampalayam. Gayathri T.J This study is to find out and analyse the factors influencing job stress and job satisfaction and its impact on performance of Medical Representatives working under pharmaceutical industry,at Central Kerala districts (PALAKKAD, THRISSUR, ERNAKULAM and IDUKKI). We all know that increased stress leads to reduced productivity and also overall affects the overall performance.Stress is a universal phenomenon and common challenge to employee productivity,it is the unavoidable reality of modern day workplace.Apart from other professions, Medical Representative’s daily life or work involves continuous field work, continuous travelling, waiting for Dr visits, administrative work, sales pressure, and more.. Medical Representatives need to be always physically fit, mentally alert & attentive, presentable, punctual, patient, committed, responsive, skilled communicator, and an extrovert person to be able to succeed in the amazing competitive field of Pharmaceutical industry. 09 30 2021 184 187 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C6465.0910321 https://www.ijrte.org/wp-content/uploads/papers/v10i3/C64650910321.pdf Shoreline Change Detection from Cuddalore to Nagapattinam Coast, Tamil Nadu Student, Masters, Remote Sensing and GIS in SRM Institute of Science and Technology. Pradeep J Dr.Aparna S. Bhaskar (Ph.D) Associate Professor, Department of Civil Engineering, Kattankulathur Campus, SRM Institute of Science and Technology. Erosion of shoreline areas is one of the major sources of problems on the world, whose impact has had a devastating effect on coastal communities. The coastal region of India is undergoing various natural and Anthro -pogenic process activities which controls the accretion , erosion rates along the coastal area. Existing research suggests that the merged use of satellite imagery and mathematical techniques are the appropriate technique for coastal survey analysis. The study was conducted in the Cuddalore to Nagapattinam coastal area till kodiyakarai (Tamil Nadu), India ,Using satellite -data imagery from 2003 to 2017. This coastal stretch has been report high rate of erosion as well as Accretion. Coastal side erosion and long-term erosion, accretion rates were calculated using DSAS, to measure the rate of change of the shoreline. Analysis results shows erosion is rampant in Mayiladuthurai district, Tharangambadi - Karaikal (Puducherry Union Territory) especially from Tharangambadi beach to nagore beach. 09 30 2021 188 191 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C6476.0910321 https://www.ijrte.org/wp-content/uploads/papers/v10i3/C64760910321.pdf Study of Deep Learning Methods f or Fingerprint Recognition Assistant professor, Department of mathematics and computer sciences, University of Félix Houphouet- Boigny. Mamadou Diarra Ayikpa Kacoutchy Jean Teacher and Researcher,Department of Computer science and digital sciences, Virtual University. Ballo Abou Bakary Teacher and Researcher, Department of agropastoral management. Kouassi Brou Medard IT Manager, University of Félix Houphouet- Boigny. Biometric systems aim to reliably identify and authenticate an individual using physiological or behavioral characteristics. Traditional systems such as the use of access cards, passwords have shown limitations such as forgotten passwords, stolen cards, etc. As an alternative, biometric systems present themselves as efficient systems with a high reliability due to the physiological characteristics of each individual. This paper focuses on a deep learning method for fingerprint recognition. The described architecture uses a pre-processing phase in which grayscale images are represented on the RGB bands and then merged to obtain color images. On the obtained color images will be extracted the characteristics of the fingerprints textures.The fingerprint images after preprocessing are used in a deep convolution network system for decision making. The method is robust with an accuracy of over 99.43% and 99.53% with the respective variants densenet-201 and ResNet-50. 09 30 2021 192 197 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C6478.0910321 https://www.ijrte.org/wp-content/uploads/papers/v10i3/C64780910321.pdf