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Human resource is a vital component for an organization. In the current scenario of business, their co-opt ability, competitiveness, knowledge updates, skill up-gradation and over & above their performance play crucial role in yielding successful results for a company. Organizations have started realizing and strategizing their Performance Management System (PMS) which has become an important area of concern both for the practitioners as well as for the academicians. In this paper, performance related issues, Systems Model on PMS, common practice, challenges of PMS, some of the problematic issues in managing employee's performance and the key role of the department of HRM have been discussed.

Intro -- Preface -- About This Book -- Key Features -- Contents -- About the Editors -- Integrating Big Data Practices in Agriculture -- 1 Introduction -- 2 Using Big Data to Improve Agronomical Practices -- 2.1 GODAN Framework: Global Open Data for Agriculture and Nutrition -- 2.2 Use of Drones in Agriculture -- 2.3 Create Better Supply Chain Optimizations -- 3 Using Online Data for Betterment of Farmers -- 3.1 A Case Study: Using Big Data Approach Enables Farmers to Buy Fertilizer from the Nearest Available Shop Thus Minimizing Transportation Cost -- 3.2 Methodology -- 4 Use of Social Media Analytics in Agriculture -- 4.1 Understanding the Monthly Global Trends of Gluten-Free Foods -- 4.2 Global Sentiment Analysis for Gluten-Free Foods -- 4.3 Perceptual Mapping Based on Sentiment Study -- 4.4 Use of Online Portals for Data Representation -- 4.5 To Study Consumer Behavior of Domestic and Processed Gluten-Free Food Using Discriminant Analysis -- 4.6 Discriminant Analysis Model -- References -- Solar-Powered Automated IoT-Based Drip Irrigation System -- 1 Introduction -- 2 Automated Drip Irrigation System -- 2.1 Literature Review -- 2.2 Methodology -- 3 Solar-Powered Automated Drip Irrigation System -- 3.1 Related Work -- 4 Conclusion -- References -- IoT Foundations and Its Application -- 1 IoT Groundwork -- 1.1 Introduction -- 1.2 Characteristics of Internet of Things -- 1.3 Need of IoT -- 1.4 Area of Applications -- 2 Conclusion and Future Scope -- Further Readings -- e-Device for the Protection of Agricultural Land from Elephant Attacks in Odisha: A Review -- 1 Introduction -- 2 Literature Survey -- 3 Problem Statement -- 4 Proposed Approach -- 5 Methodology -- 6 Conclusion -- References -- The Impact of Irrigation on Agricultural Productivity in the Bolpur Sub Division, West Bengal -- 1 Introduction -- 2 Statement of Problems.

In an innovative collaboration between government, university and private industry, researchers at the University of Georgia and Gainesville State College are collaborating with Photo Science, Inc. to acquire, process and quality control check lidar and or-thoimages of forest areas in the Southern Appalachian Mountains of the United States. Funded by the U.S. Geological Survey, this project meets the objectives of the ARRA initiative by creating jobs, preserving jobs and training students for high skill positions in geospatial technology. Leaf-off lidar data were acquired at 1-m resolution of the Tennessee portion of the Great Smoky Mountain National Park (GRSM) and adjacent Foothills Parkway. This 1400-sq. km. area is of high priority for national/global interests due to biodiversity, rare and endangered species and protection of some of the last remaining virgin forest in the U.S. High spatial resolution (30 cm) leaf-off 4-band multispectral orthoimages also were acquired for both the Chattahoochee National Forest in north Georgia and the entire GRSM. The data are intended to augment the National Elevation Dataset and orthoimage database of The National Map with information that can be used by many researchers in applications of LiDAR point clouds, high resolution DEMs and or-thoimage mosaics. Graduate and undergraduate students were involved at every stage of the workflow in order to provide then with high level technical educational and professional experience in preparation for entering the geospatial workforce. This paper will present geospatial workflow strategies, multi-team coordination, distance-learning training and industry-academia partnership.

In an innovative collaboration between government, university and private industry, researchers at the University of Georgia and Gainesville State College are collaborating with Photo Science, Inc. to acquire, process and quality control check lidar and or-thoimages of forest areas in the Southern Appalachian Mountains of the United States. Funded by the U.S. Geological Survey, this project meets the objectives of the ARRA initiative by creating jobs, preserving jobs and training students for high skill positions in geospatial technology. Leaf-off lidar data were acquired at 1-m resolution of the Tennessee portion of the Great Smoky Mountain National Park (GRSM) and adjacent Foothills Parkway. This 1400-sq. km. area is of high priority for national/global interests due to biodiversity, rare and endangered species and protection of some of the last remaining virgin forest in the U.S. High spatial resolution (30 cm) leaf-off 4-band multispectral orthoimages also were acquired for both the Chattahoochee National Forest in north Georgia and the entire GRSM. The data are intended to augment the National Elevation Dataset and orthoimage database of The National Map with information that can be used by many researchers in applications of LiDAR point clouds, high resolution DEMs and or-thoimage mosaics. Graduate and undergraduate students were involved at every stage of the workflow in order to provide then with high level technical educational and professional experience in preparation for entering the geospatial workforce. This paper will present geospatial workflow strategies, multi-team coordination, distance-learning training and industry-academia partnership.

Nonlinear frequency responses of the laminated carbon/epoxy composite curved shell panels have been investigated numerically and validated with in-house experimentation. The nonlinear responses have been computed numerically via customised computer code developed in MATLAB environment with the help of current mathematical model in conjunction with the direct iterative method. The mathematical model of the layered composite structure derived using various shear deformable kinematic models (two higher-order theories) in association with Green-Lagrange nonlinear strains. The current model includes all the nonlinear higher-order strain terms in the formulation to achieve generality. Further, the modal test has been conducted experimentally to evaluate the desired frequency values and are extracted via the transformed signals using fast Fourier transform technique. In addition, the results are computed using the simulation model developed in commercial finite element package (ANSYS) via batch input technique. Finally, numerical examples are solved for different geometrical configurations and discussed the effects of other design parameters (thickness ratio, curvature ratio and constraint condition) on the fundamental linear and nonlinear frequency responses in details.

Not Available ; The length weight relationships (LWRs) of six tropical fish species from Chilika Lagoon, India were studied. Specimens were caught using a wide range of fishing gear operated in the lagoon from January to December 2014. The fresh specimens were measured for total length and weight, then dissected and the sex confirmed. Previously unavailable in FishBase, the detailed LWRs of Daysciaena albida, Eleutheronema tetradactylum, Etroplus suratensis and Mystus gulio are reported for the first time. Maximum total lengths reported for Nematalosa nasus and Osteogeneiosus militaris in this study are new records for these species. The existence of a differential growth between male and female O. militaris was confirmed, which was not known earlier. ; Not Available

Epidemic of flu is highly contagious and it spreads through air. In 2009 H1N1 influenza virus emerged after reassortment of North American TRIG and Eurasia Avian like virus of swine and started epidemic in Mexico. The first cases were reported from Hyderabad city on 16th May 2009 in India that spread rapidly within a short span of time. During this period large population of Odisha situated at the eastern side of India was also affected and incidences of H1N1 cases were recorded through state Government surveillance system. In this study real time RT-PCR based diagnosis was conducted for the throat swabs collected from suspected H1N1 cases in Odisha during 2009–2017. A total of 2872 throat swabs were received from 23 different Government and private hospitals and 21.1% positivity was confirmed. The disease affected mostly 46–60 years age group, males (50.6%) being more affected. The clinical features had shown that fever with cough (89.6%) was the most common symptom followed by shortness of breath (72.7%). Post monsoon was the peak season in which most of the cases were reported. Neurological signs, pregnancy, diabetes and hypertension were found to be risk factors for H1N1. The case fatality rate (CFR) was 15%.