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Weather is a phenomenon that describes the present atmospheric conditions like temperature, wind direction, humidity etc. over a geographical location. Weather monitoring involves use of high configuration computer system that require high amount of power and expenditure for installation and maintenance. In the present work we have developed a low cost IoT based system to monitor weather conditions of a location. This system is limited in its geographical radius but its low cost reliable features make it possible to use such a series of systems instead of just one to monitor weather conditions over a large pheriphery.

Electrical power grid has witnessed continuous changes over the past century but phenomenal developments are visible in the last two decades or so. The demand of 24x7x365 power supply, and development in socio-economic status of individuals and nations the demand of electrical power hence grid complexity is rising. Moreover shifting to renewables has opened a whole new can of worms. The conventional approach of grid management is unable to cater the needs of such a complex demand and supply needs. The present work is an approach addressing various modalities, modes of operation and management of smart grids. This includes demand side management in household and non-household scenarios, ICT and cyber security concerns.

Biometric characteristics helps to recognize an individual among others. Each individual has a unique biometric feature. So, an automated system is designed to recognize an individual. In today’s growing AI development, biometric recognition is applied in many security systems. One of oldest and widely used authentic biometric methodology is fingerprint recognition. Many fingerprint recognition algorithms are designed and developed in order to reduce error rate and to improve accuracy. In this paper, a comprehensive review is presented on various techniques used for fingerprint recognition system along with their performance and their limitations. The purpose of this paper is to review various recent work on the fingerprint recognition system, to explain step by step the steps for recognizing fingerprints, and to provide summaries of the fingerprint databases with functionality

This study aimed to assess the heavy metals accumulation patterns by some native plants such as Achyranthus aspera L., Amaranthus viridis, Basella alba L., Sesbania bispinosa, Pedalium murex L., and Momordica doica, which have been traditionally employed for medicinal and food purposes. The plants were grown on complex distillery waste containing a mixture of organometallic compounds. Results revealed bioaccumulation of Mn, Cd, Fe, Cr, Cu, As, Se, Mo, and Co in their roots, shoots, and leaves in levels higher than the surrounding sludge. A. aspera was noted as root accumulator for Mn (16.95 mg kg−1), Zn (30.12 mg kg−1), Fe (240.40 mg kg−1), Co (3.19 mg kg−1), while Se (4.07 mg kg−1), Mo (4.36 mg kg−1), was accumulated selectively in the shoot of the plant. Similarly, S. bispinosa, P. murex, and M. doica were found as root accumulators for Mn, Fe, and Ni. A. viridis accumulated Cd, Zn, and Cu in the shoot and leaves of the plant. The high bioconcentration factors (BCF) and translocation factors (TF) observed in these native plants (>1) suggested their tendency to hyperaccumulate heavy metals. The findings highlighted that these plants as a potential metal accumulator may pose health hazards and deteriorate the medicinal property if grown on such wastes.

Signaling among rhizobacteria and other soil microorganisms is an important mechanism to ensure a successful symbiotic relationship with their phytobionts. Quorum-sensing involves signaling molecules that provide essential networks for communication in the rhizosphere. These signaling molecules relay inter-and-intra-species information that coordinates and controls behavior in mixed communities, and the expression of these signaling molecules changes in response to the chemical cues. The diverse signaling molecules released in the rhizospheric zone affect the structural and physical heterogeneity of the soil and the quantity and identity of rhizobacteria. In general, rhizospheric signaling mechanisms can be categorized into three major types (i) plant to microorganisms signaling through low molecular weight molecules secreted by plants; (ii) interspecies and intraspecies microbial signaling, chiefly through quorum-sensing molecules; and (iii) microorganisms to plant signaling by microbially produced compounds. This review presents knowledge on the signaling molecules of the rhizosphere based on the above three mechanisms. The chemical nature of root exudates and their roles in attracting metabolically active rhizobacteria; the chemical properties of autoinducers secreted by rhizobacteria and their functions in intra- and inter-species interactions, including biofilm formation in the rhizosphere; and influence of quorum sensing on the root architecture, plant defense and biotic and abiotic stress responses, and gene expression are examined. The review provides a thorough understanding of rhizobacteria signaling and will help to develop novel strategies for agriculture, such as the novel use of plant growth-promoting rhizobacteria to enhance crops growth and quorum quenching technique to fight against plant pathogens.

The paper highlights the importance of parliamentary systems and democracy in tackling the presenteconomic challenges throughout the world. The paper has a special focus on India as a specific-case. Maintaining high economic growth, by improving public health facilities, NPAs’ ofbanks, infrastructure, and tax reform. Despite impressive economic growth trends in recent decades, the country is still relatively poor.The Indian Constitutional makers designed a democratic form of government to chooserepresentatives. The institution of electedlegislatures is core to democracy. These institutions provide a forum to find broadlyacceptable paths to complex problems throughdiscussion and negotiation by peoplerepresenting different interests, perspectivesand ideologies. Our democracy rests on the belief of citizens that Parliament will performthis function. The cost of not permittingParliament to function can be enormous as itputs this belief at risk and thus, attacks thefoundations on which our democracy is built.&nbsp

Smart buildings are the need of the day with increasing demand-supply ratios and considerable deficiency to generate them. In any modern nonindustrial infrastructure, these demands mainly comprise thermostatically controlled loads (TCLs), which can be maneuvered. TCLs, such as air-conditioners, heaters, and refrigerators, are ubiquitous and their operating times can be controlled to achieve desired aggregate power. This power aggregation, in turn, helps achieve load management targets and thereby serves as an ancillary service (AS) to the power grid. In this work, a distributed averaging protocol is used to achieve the desired power aggregate set by the utility using steady-state desynchronization. The results are verified using a computer program for a homogeneous and heterogeneous population of TCLs. Furthermore, a load following scenario has been implemented using the utility as a reference. Apart from providing a significant AS to the power grid, the proposed idea also helps reduce the amplitude of power system oscillations imparted by the TCLs. Hardware-based results are obtained to verify its implementation feasibility in real-time.