Building a Benchmark for Industrial IoT Application

In this project, we have developed a rather robust means of processing and displaying large sums of IoT data using several cutting-edge, industry-standard technologies. Our data pipeline integrates physical sensors that send various environmental data like temperature, humidity, and pressure. Once created, the data is then collected at an MQTT broker, streamed through a Kafka cluster, processed within a Spark Cluster, and stored in a Cassandra database. In order to test the rigidity of the pipeline, we also created virtual sensors. This allowed us to send an immense amount of data, which wasn’t necessarily feasible with just the physical sensors. The web interface allows users to create as many of these virtual sensors as testing requires. Once the data goes through the pipeline, it is made viewable on the same web interface. Users can search for key sensors, look through important data, and analyze as necessary. Our IoT pipeline enables seamless data flow and near real-time analytics. Using industry-standard technologies allows for scalability and reliability, making it suitable for all sorts of data-intensive applications

Strategy for Smart City Development

Initiatives to set up 100 smart cities in the country by 2022 are underway and being implemented at a very faster pace. With the aim to strengthen and revitalize the urban local bodies the government has introduces a city challenge system for selecting smart cities on the basis of urban amenities, demographic profile and financial situation. India is the third largest Economy in the world in terms of purchasing power parity (PPP) with a 6.4% share of worldwide gross domestic product (GDP) on a PPP basis. The country also ranks second in terms of population, with more than 1.2 billion people, out of which, nearly one-third are urban dwellers. The urban population in the country has increased from 17.3 % in 1951 to 31.2% in 2011.Over the last decade Indian cities have witnessed a high rate of Urbanization with Delhi leading the race, registering a growth rate of 4.1%, followed by Mumbai and Kolkata with growth rates of 3.1 % and 2.1 % respectively (2). The new Indian government has taken cognizance of this accelerating expansion. Investments required to stabilize, augment as well as build a robust infrastructure are at the forefront of the governments agenda. The objective of this Knowledge paper is to provide an overview of the opportunity landscape for smart cities in India as well as facilitate Global solution providers to take stock of the current situation and support the Indian government’s Smart city initiative. A strong and stable democratic government coupled with the relatively free play of market forces today makes India the most Attractive Investment destination. It would also be imperative to have smart leadership not only at the national level but also at the local municipal level who can take bold decisions in every urban area and more importantly , smart people who are willing to support smart leaders for bringing the necessary change and to implement the plans

A study of abnormal semen parameters in infertile couples in Assam, India

Background: The importance of male factor contribution to infertility is well recognised. Semen analysis is an indispensable diagnostic tool in the evaluation of the male partners of infertile couples.  Aim and objective of the study was conducted to determine the abnormalities in semen among male partners in infertile couples.Methods: Detailed history, examination and semen analysis was done. Semen samples were analysed for volume, viscosity, sperm concentration, motility, and morphology, according to WHO guidelines.Results: This study, done at a tertiary care center in north eastern India has demonstrated that abnormal semen quality is a major factor contributing to infertility in couples. Total number of participants were 94. Most of the male partners i.e. 65.96%, who came for infertility evaluation were between 30-39 years of age with 56.38% participants having abnormal semen parameters. The most common abnormality found was asthenozoospermia seen in 35.11% of cases followed by oligozoospermia seen in 25.53% of cases. Teratozoospermia and azoospermia were seen in 7.45% and 4.26% of cases respectively.Conclusions: Males contribute towards infertility in couples significantly. Abnormal semen pattern is a common cause. More research is needed to render more valuable and significant results regarding male infertility

Eight-shot measurement of spatially non-stationary complex coherence function

Spatial coherence plays an important role in several real-world applications ranging from imaging to communication. As a result, its accurate characterization and measurement are extremely crucial for its optimal application. However, efficient measurement of an arbitrary complex spatial coherence function is still very challenging. In this letter, we propose an efficient, noise-insensitive interferometric technique that combines wavefront shearing and inversion for measuring the complex cross-spectral density function of the class of fields, in which the cross-spectral density function depends either on the difference of the spatial coordinates, or the squares of spatial coordinates, or both. This class of fields are most commonly encountered, and we experimentally demonstrate high-fidelity measurement of many stationary and non-stationary fields

Dual Parton Model for the Charged Multiplicity in pp Collisions at 13, 13.6 TeV and for future LHC energy of 27 TeV

Analysis of the charged multiplicity in proton-proton inelastic interactions at the LHC energies in the setting of Dual Parton Model is presented. Data from the CMS experiment and the data simulated at different energies in various pseudo-rapidity windows using the event generator PYTHIA8are analysed and compared with the calculations from the model. Each inelastic scattering is assumed to follow the Poisson distribution. The theoretical Koba-Nielsen-Olesen (KNO) scaling of the multiplicity distributions is studied and compared with previously published experimental results at $\sqrt{s}$ = 0.9, 2.36, 7 TeV. Predictions from the model for the KNO distributions at $\sqrt{s}$ = 13, 13.6 TeV and for the future LHC energy of 27 TeV are computed and compared with the simulated data.Comment: 10 pages, 9 Figures, 2 Tables, 38 Reference