Management and Security of IoT systems using Microservices

Devices that assist the user with some task or help them to make an informed decision are called smart devices. A network of such devices connected to internet are collectively called as Internet of Things (IoT). The applications of IoT are expanding exponentially and are becoming a part of our day to day lives. The rise of IoT led to new security and management issues. In this project, we propose a solution for some major problems faced by the IoT devices, including the problem of complexity due to heterogeneous platforms and the lack of IoT device monitoring for security and fault tolerance. We aim to solve the above issues in a microservice architecture. We build a data pipeline for IoT devices to send data through a messaging platform Kafka and monitor the devices using the collected data by making real time dashboards and a machine learning model to give better insights of the data. For proof of concept, we test the proposed solution on a heterogeneous cluster, including Raspberry Pi’s and IoT devices from different vendors. We validate our design by presenting some simple experimental results

Prequalification in municipal solid waste management public-private partnerships of India

Prequalification (PQ) is a significant process in the selection of private sector for the delivery of civil infrastructure projects.  But, the extant literature, for the most part, focused on PQ of construction projects.  The need for setting proper PQ, i.e., criteria and corresponding limits in public-private partnership (PPP) infrastructure projects, especially municipal solid waste (MSW) projects is still a lacuna in the body of knowledge of Indian PPPs.  To this end, this paper identified PQ criteria using content analysis of the sample of MSW projects. These identified criteria were subjected to regression modeling. These results were compared with the results of well-matured highway sector to draw comparison with MSW projects.  The practical implications are that urban local bodies (ULBs) are but less competent and less uniform in the rationale of setting the PQ criteria and limits.  This paper suggests that lowering the technical and financial PQ limits considering the market orientation will help in bringing more competitive bidders into the bidding.   Since MSW is in a very nascent stage of application of PPP, the study results could lay directions for future project procurement to discern right limits for right project sizes

Python: A tool for analysis and visualization for remotely sensed datasets

Python is a programming language which helps you to tell the computer what you want to do with the data that you have

Application of geophysical data sets to resolve ecosystem challenges

Satellite Remote Sensing (SRS) datasets are often used in empirical or semi-analytical validated models, either to extrapolate regional datasets in space or to generate derived geo-physical products. A simple example for this can be the summation of thermal signals from different wavelengths for generation of SST. In a similar way, some of the most useful and relevant environmental properties in fisheries research such as sea surface salinity (SSS), Wind Speed (WS) and Wind Direction (WD), sea surface height (SSH), chlorophyll-a (Chl-a) and Chl-a derived primary production (PP) are available online as processed and unprocessed geo-physical datasets. These datasets can be used to advantage in various fisheries research and management programmes

Role of calculus in marine sciences

Calculus has two parts: differential and integral calculus. Historically, differential calculus was concerned with finding lines tangent to curves and with calculating extrema (i.e., maxima and minima) of curves. Integral calculus has its roots in attempting to determine the areas of regions bounded by curves or in finding the volumes of solids. The two parts of calculus are closely related: The basic operation of one can be considered the inverse of the other. This result is known as the fundamental theorem of calculus and goes back to Newton and Leibniz, who were the first to understand its meaning and to put it to use in solving difficult problem