MEASURED SECURITY FEATURES IMPLEMENTATION IN CLOUD ENVIRONMENT

Cloud computing encompasses a set of IT based Services, delivered by a third party provider who owns the infrastructure and provided to customers over a network. It is now one of the fastest growing technologies of the IT trade for business. Thus the high flexibility and portability of cloud have raised numerous security concerns. Security issue in cloud computing has become the vital reason of impeding its development. This work shows a concern on the security element in cloud environment for small business addressing their shortcomings and finding solutions for it. Measured security features have been implemented by developing a secured data encryption, exchange and decryption infrastructure resulting in a data security model

A LITERATURE STUDY ON AGRICULTURAL PRODUCTION SYSTEM USING IOT AS INCLUSIVE TECHNOLOGY

The IoT (Internet of Things) based agricultural convergence technology is a technology to create a high value such as improvement of production efficiency, quality increase of agricultural products in the whole process of agricultural production[1][2]. In addition, implementing precision agriculture, which is an alternative to the future agriculture, through the convergence technology allows prediction of supply and demand, real-time management and quality maintenance during the entire life cycle of agricultural products [3]. We make a literature study on the cited title and present it in the form of this note

DELIBOT WITH SLAM IMPLEMENTATION

This paper describes and discusses a research work on "DeliBOT – A Mobile Robot with Implementation of SLAM utilizing Computer Vision/Machine Learning Techniques". The principle objective is to study about the utilization of Kinect in mobile robotics and use it to assemble an integrated system framework equipped for building a map of environment, and localizing mobile robot with respect to the map using visual cues. There were four principle work stages. The initial step was studying and testing solutions for mapping and navigation with a RGB-D sensor, the Kinect. The accompanying stage was implementing a system framework equipped for identifying and localizing objects from the point cloud given by the Kinect, permitting the execution of further errands on the system framework, i.e. considering the computational load. The third step was identifying the landmarks and the improvement they can present in the framework. At last, the joining of the previous modules was led and experimental evaluation and validation of the integrated system. The demand of substitution of human by a robot is winding up noticeably more probable eager these days because of the likelihood of less mistakes that the robot apparently makes. Amid the previous couple of years, the technology turn out to be more accurate and legitimate outcomes with less errors, and researches started to consolidate more sensors. By utilizing accessible sensors, robot will perceive and identify environment it is in and makes map. Additionally, robot will have element of itself locating inside environment. Robot fundamental operations are identification of objects and localization for conduction of the services. Robot conduct appropriate path planning and avoidance of object by setting a target or determining goal [1]. Because of the outstanding research and robotics applications in almost every segments of life of human's, from space surveillance to health-care, solution is created for autonomous mobile robots direct tasks excluding human intervention in indoor environment [2], a few applications like cleaning facilities and transportation fields. Robot navigation in environment that is safe that performs profoundly, require environment map. Since in the greater part of applications in real-life map is not given, exploration algorithm is used

Assessment of feed and fodder availability and requirement in Andhra Pradesh

The present study aimed to estimate the feed and fodder demand for the existing livestock population and supply in Andhra Pradesh. For the study the secondary data was collected from the different sources. The livestock population was converted into Ruminant Livestock Units (RLU) based on the species, age and sex. Ruminant Livestock Units (RLU) were considered to have a body weight of 350 kg and a dry matter intake of 2 per cent of their body weight. The total RLU in the state is 9.24 million, requiring 23.61 million tonnes of feed and fodder on dry matter basis. Availability of dry fodder and concentrates were estimated using appropriate conversion ratios to different crop production while green fodder was estimated by applying per hectare yield to different fodder sources The total annual availability of feed and fodder in the state was estimated to be 33.13 million tonnes against the requirement of 23.61 million tonnes and thereby excess of around 40.35 per cent per annum. The availability of feed and fodder was excess in 9 districts except for the Visakhapatnam, Prakasam, Kadapa and Anantapuram districts of the state. Average dry matter availability in the state was 9.82 kg/RLU/day against the requirement (7 kg). Creation of fodder banks and transport fodder to the deficit areas of the country are the policies to be developed and need priority attention to solve the problem of fodder in deficit areas