Volume 8 | Issue 9 |

 Abstract

LPG gas is one of the household things in daily life. But LPG gas is highly flammable. There have been many accidents due to leakage of LPG gas. The trigger varies from the incorrect installation to the use of defective gas cylinders. This paper aims to provide a solution to this problem by building a device that utilizing sensors connected to Node MCU. The device performs area monitoring continuously. The gas sensor provides data to Node MCU, and then the results are displayed as a warning to the user via an Android-based smart-phone device. Other than LPG gas, Air conditioner and refrigerator leaked gases also harmful in home. Using this device, users will be able to prevent accidents that occur due to harmful gas leaks so that accidents can be avoided.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

LPG-Gas, Node-MCU, Smartphones,,Gas- Sensors

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Creative Commons Attribution 4.0 and The Open Definition

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The wastewater generated from textile industries of Solapur city is studied for its characterization. Wastewater of textile industry was found to contain a high degree of pollutants with high TDS and suspended solids. The wastewater is highly colored and viscous due to dyestuff and suspended solids respectively. Chloride, sulphate, nitrate, Sodium salts of these anions are most commonly used in the process. In heavy metal chromium is in higher concentration while other heavy metals iron, zinc, lead, copper and manganese are also present. The waste water also has high BOD and COD indication its polluting nature. This review collects the general information relating to textile wastewater constituents and organizes it to help researchers who are required to prepare useable water in construction industry. These ingredients are also evaluated based on the typical characteristics of textile wastewater, and special constituents to simulate these characteristics are recommended. The processes carried out during textile manufacturing and the chemicals corresponding to each process are also discussed

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Textile effluent, wastewater, treatment.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The school is a powerful agency in the development of behaviour of the child. It is a miniature of society in which children live, make interactions, get all round development, get socialized and perform mostly function under the supervision of their teachers or instructors. The school is a formal socializing institution which differs from the family. The development of child is influenced by various factors of school like physical development, moral development, emotional development, intelligence level, environment, population, socio economic condition, nutrition, age, type of schools, language, customs, beliefs, rituals, caste, religion, colour and most importantly its social culture & festivals. The present study was undertaken to study the academic stress and academic achievement of government and private secondary school students. The sample of the study comprised of 300 (150 from government and 150 from private) secondary school students which were selected randomly from 12 schools of district Patna, Bihar. For Academic stress, Statements was used and For Academic Achievement, aggregate percentage of marks obtained in previous examination was used for data collection. Results revealed that private secondary school students differ significantly on �Acceptance� dimension of academic achievement while as on composite score both government and private secondary school students differ significantly. Further, private secondary school students showed secondary academic performance rather than government school students.

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 Keywords

Secondary school, Patna, Academic stress, Academic Achievement, Government Schools, Private schools

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Internet of Things (IoT) is a fast evolving paradigm where remotely identifiable physical objects form an active network, and are able to operate independently without external control. With these smart devices automatically connecting to each other and exchanging private and sensitive data, the potential for malicious attacks greatly increases. As a result, it is widely accepted that the most challenging aspect of IoT will be to ensure security and privacy. This paper proposes an important cryptographic primitive i.e. transition controlled random number generator, that shares overlapping properties and often have structural similarities with PUFs. The integrity of any secure system depends largely on the proper functioning of these units. True Random numbers are needed for encryption keys, nonces, padding bits and many more applications. Software approaches to generate random numbers, called Pseudo Random Number Generators (PRNG) are widely adopted and are suitable for most applications. However, they are susceptible to attacks as their outputs are deterministic functions of the seed, which carries all its entropy. Therefore, hardware-based mechanism to extract randomness from physical phenomena is required for cryptographic applications. As data privacy is one of the key requirements of IoT framework, it can benefit from high entropy TRNGs generating secure keys.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Built-In-Self-Test, BIST, Physical Unclonable Functions, PUF, True Random Number Generators, TRNG, Hardware security, Internet of things, IoT

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Enclosed

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Creative Commons Attribution 4.0 and The Open Definition

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Enclosed

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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cukl csflu �e0iz0� ds LFky#iksa dk ,d HkkSxksfyd v/;;u

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: The age old adage of delivering the right product in the right quantity with right cost to the right place at the right time of supply chain management perspectives is being increasingly challenged in today�s world with the variability, com-plexity, market turbulence & the dynamic turmoil and chaos induced by un-predictable events like Covid -19 pandemic. There is no doubt that the traditional supply chain is changing from a rigid, linear flow to a rather flexible, agile value net-work designed to deliver instant choice, along with hyper�personalization across a variety of fulfillment channels and an expanding range of digital enablers. The strategic choices made of fast, scalable, intelligent and cross knitted strategic threads enabling sustainable growth and value perspectives are required to solve current challenges and prepare for rapid and responsive consumer-driven supply chains in future. Shifting from a traditional supply chain to a new supply network matrix creates room for growth, optimizes operations and improves service while reducing costs and working capital for businesses. This new paradigm shift in the supply chain introduces greater levels of complexity as organizations has to manage the flow of materials, products, and data between and amongst a growing number of ecosystem partners, all of which must be coordinated to maintain stability in the network. Supply chain capabilities are demanded by business needs arising from unprecedented situations, and they should be able to meet shorter planning cycles and have an inbuilt ability to respond more quickly to changing demand and supply dy-namics. For this to happen, a successful supply network has to leverage data-driven intelligent automation sciences & ap-plications like Artificial Intelligence (AI) and Machine Learning (ML) to enable ongoing planning capabilities and auto-mated responses to meet unchartered undetermined scenarios. This requires system training to be embedded in supply chains networks to distinguish between inconsequential shifts and situations that require pre-planning. The challenges and perspectives in the chaos induced by unpredictable business changes by the pandemic and plausible supply chain man-agement solutions constitute the preamble of this paper and a P5R5 Risk Management Model is postulated.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Covid, digital, impact, management, pandemic, supply chain

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Aims was Effects of Plyometric and Circuit Training on Vital capacity of Kho-Kho Players. Male players of Kho-Kho selected at school level in Nadiad District were selected in the present study. Total 90 male players were selected as subjects for the sample of the present study, in which 30 players were included in the plyometric training group, 30 in circuit training group and 30 players were included in the control group. The male players of 13 to 17 years age group were included in the present study. The Vital capacity measurement of Pic flow meter machine. Statistical technique such as analysis of covariance was applied to know the effects on plyometric training group and circuit training group. Mean difference was examined at 0.05 levels by using Least Significant Difference (Post Hoc) Test. Remarkable higher improvement was seen compared to the controlling group in the performance of the subjects' overall oxygen capacity because of plyometric training and circuit training.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Plyometric and Circuit Training, Vital capacity, oxygen capacity

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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yksdla[;k] ‘kk’or fodkl vkf.k i;kZoj.kh; leL;k o mik;

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Creative Commons Attribution 4.0 and The Open Definition