Volume 9 | Issue 7

 Abstract

The framers of the Indian Constitution were inspired by the Universal Declaration of Human Rights and they saw to it that the essence and the Spirit of the Universal Declaration was incorporated in the Constitution. Human rights are an integral part of the concept of human dignity which are protected by different provisions of the Constitution of India. The Indian Constitution has embodied within itself grounds for gender equality. The Fundamental Rights, Fundamental Duties and Directive Principles together work towards shaping policies and putting safeguards not just for women empowerment in India but also protection.

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constitution,fundamental rights,human rights,policies,duties

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Energy crisis is one of the major problems that the world faces today. The energy crisis can be reduced to a certain extent by properly monitoring our energy consumption and avoiding energy wastage. Nowadays people face many problems like power theft. Power theft may be a measure crime and it also directly affects the economy of our country. This system will find energy theft easily and send the notification to the user. The energy meters are connected to the PIC Microcontroller through an optocoupler.PIC microcontroller process this data to the ESP8266 WI-FI module then WI-FI module send this data to the blynk app. The microcontroller kWh readings and billing display on LCD and also send this data into the blynk app. This design eliminates the human involvement in electricity maintenance.

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PIC micro controller, LCD display, Energy meter, optocoupler, Relay, Blynk APP.

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Cost estimation is associate experience-based task, that involves evaluations of unknown circumstances and sophisticated relationships of cost-influencing factors. a man-made neural network (ANN) is associate analogy-based method, that most closely fits the value prognostication domain. the first benefits of ANNs embrace their ability to find out by examples (past projects), and to generalize solutions for forthcoming applications (future projects). Construction value prediction is very important for construction corporations to vie and grow within the business. correct construction value prediction within the early stage of project is very important for project feasibleness studies and self-made completion. There square measure several factors that have an effect on the value prediction. This analysis presents the comparison between ANN and SVM. the target of this paper is to develop neural networks and multilayer perceptron primarily based model for construction value prediction. Estimating construction prices and predicting worth increase square measure major steps for project house owners, estimators, and contractors. Therefore, the value estimation plays a major role in construction project choices and represents the foremost necessary corner in iron triangle of construction management. This project is enforced on actual website case study placed at Ambegaon Pune underneath the management of SP Construction Pune (Ganesh Construction).In order to success the development comes we want technique to estimate the value with high degree of accuracy and fewer error. within the gift investigation, the model designed by applying each quantitative approach and qualitative approach to spot the factors (variables) as inputs of the model. eighty five comes square measure used for developing, coaching and testing the ANNs model, the output of this model is that the expected construction prices of the comes. To validate the model, fourteen comes as sample have tested to predict the value with high degree accuracy and acceptable error. client price level, value of construction materials, style of building, market conditions, structural system, site Area, style of block, different Supplementary buildings, location of the Project, project Size, style of foundation, building closeness, and fluctuation within the Currency square measure the most factors moving in construction buildings prices. These factors are used as inputs in ANN model and every one information is extracted from the historical comes, the model has been developed and trained for seventy comes and compared the particular value with foreseen value. The model was valid throughout sample of comes. one3- 17- 1 model was the most effective between fifteen models square measure developed, 6 June 1944 is that the mean absolute share error for model is tested. The results square measure clearly provided a decent indicator for predicting the development buildings prices within the future with high degree of accuracy.

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value Factors, Artificial Neural Network System, Feed Forward Network, Multilayer Perceptron, Back Propagation Error, Developing the model.

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In developing countries, farming land can be huge and farmers are unable to observe each and every plant, every day. Farmers are unaware of non-native diseases. Consultation of experts for this is time consuming & costly as well. So there is a need to develop an automated system to detect plant disease and classify them using image processing. Therefore deep learning and convolution neural network are used to detect the disease in agricultural harvest. Convolution neural networks provide a better accuracy and result by classifying the images to healthy and non-healthy categories as they are specially designed to process pixel data. This approach has two phases: first phase deals with training the model for healthy as well as unhealthy images, second phase involves the monitoring of crops and identification of particular disease in the plant which ultimately results in early detection of the disease.

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Deep Learning, Convolution Neural Network, Image Processing, Leaf Diseases and Detection.

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Tapping into the water cycle and producing strength from rainy days will be one manner to grow our renewable power use. Till now, scientists have been not able to get water droplets to supply a huge quantity of energy - however we may additionally subsequently have a step forward. At the same time as we're still an extended manner from umbrellas that double up as generators, the contemporary technique indicates there might be a way to get power from rain showers at a degree of efficiency that makes these systems realistic. New studies has discovered a way that might generate enough electricity from a single droplet of rain to mild up less than a hundred led bulbs. It truly is a massive leap ahead in efficiency, inside the region of several thousand times. "our research indicates that a drop of one hundred micro liters of water released from a top of 15 centimetres [5.9 inches] can generate a voltage of over 12v, and the energy generated can mild up a hundred small led lights. Silicon-based solar cell is by far the most set up solar cell generation. The surface of a si sun cellular is usually protected by means of a layer of obvious material to defend the tool from environmental damages/corrosions. Right here, we changed this safety layer through a transparent tribo electric nano geneartor (TENG) or piezo electric generator or thermocouple peltier junction, for simultaneously or personally harvesting sun and raindrop electricity whilst both or both of them are available in our living surroundings. The teng is made from a particularly processed polytetrafluoroethylene (PTFE) film, an indium tin oxide (ITO) and a polyethylene terephthalate layer. Under solar mild irradiation (12 w/m2 ) in a wet day, the fabricated excessive-efficiency sun cellular presents an open-circuit (voc) of zero.43 v and short-circuit cutting-edge density (JSC) of four.2 a/m2 . And the TENG designed for series of raindrop power offers an ac voc of 30 v and JSC of 4.2 ma/m2 whilst impacted by using water drops at a dripping rate of 0.116 ml/s. In wet days, the performance of sun cellular reduced greatly, while TENG can be an awesome reimbursement as for inexperienced strength harvesting. From those results, we are able to see that the hybrid cell shaped by way of a sun mobile and a water-drop TENG have incredible ability for concurrently/in my opinion harvesting each sun electricity and raindrop electrostatic energy under special weather situations, especially in raining season

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SOLAR RAIN DROP POWER GENERATION

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These papers presents design and practical implications of smart industrial gateway which collects the data from the ble device and transfer it on Modbus RTU and Ethernet for monitoring the data remotely, most of the industry need the solution for data monitoring of multiple devices with less network traffic and minimal wiring, so this paper focused on this issue. Many industries use large mechanical machines to handle heavy loads and to operate multiple devices at the same time requiring wires connected to computers and equipment which increases wiring mixing and reduces power generation. To overcome this, wireless channels can be used instead of wires.

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BLE, Gateway, RTU, Ethernet, Power over Ethernet (POE)

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The effect of Antimony (Sb) addition in Se88-Te12-x-Sbx (x = 0, 2, 4, 6, 8, 10) glassy alloy on various physical properties via coordination number, effect of lone pairs, mean bond energy, heat of atomization, energy band gap, glass transition temperature and degree of stoichiometry of is investigated. It is concluded that on increasing Sb content, average coordination number, mean bond energy, average heat of atomization and glass transition temperature increases whereas number of lone pairs, energy band gap and degree of heat of stoichiometry decreases.

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Chalcogenide glasses, mean bond energy, glass transition temperature, energy band gap.

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This Research focuses on developing a puncture proof coating on the inner liner of the tire by incorporation of nanoparticle in to the polysiloxane. Automobile has played a crucial role in the upliftment of society. This is also an important prerequisite for the progress of modern society Nanotechnology has paved new ways for innovative products. Carbon nanotubes (CNTs) are one of the ideal reinforcement phase because of their aspect ratio. This study focuses on the development of thin film composed of silicone sealant and multi-walled CNT over the rubber surface that acts as puncture resistant coating this process is carried out by mechanical agitation technique. Based on the results it can be observed that incorporation of MWCNTs has led to increase in the life of tire. Optimum results were obtained in terms of tensile and hardness for the developed coating. Fourier-Transform Infrared Spectroscopy (FTIR) was employed to identify inorganic materials in the matrix that might influence the mechanical properties under study

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Tensile test; Hardness tes; Puncture test; Carbon nanotubes; Fourier-Transform Infrared Spectroscopy (FTIR); silicone sealant; Nanocomposites

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The verb indicates the act of doing something at a time or the occurrence of an event as a major component of speech, or in other words the verb is an independent morpheme that describes the occurrence of something within specific time.; e. g: I write, I wrote, I will write, Mahmoud is writing a letter, Ahmad will go to class. The verb has a wide concept and covers distinct subjects. So that a verb indicates doing something at a time, depending on the particular person and time and it has special roots. Since, verb cannot occur without time some people also called it tense word. Similarly, verb forms the most important and main component of a speech. Hence, a sentence without verb is incomplete and seldom verb forms a single sentence. In general, the verb is classified into three aspects, the first is the identity and position of the verb in the Pashto language in relation to the person, second, the number and third, in which situations the verb can be found.

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Verb, Identity, Status, Flour, Adjective, Composition, Sentence

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SEO

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Malayalam Novel Study

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Novel study

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Shot blasting machine is broadly utilised for surface treatment and completing of castings to eliminate the deposits of the trim and centre blend to get the necessary surface quality and condition. Constructional and functional boundaries of shot-impacting machines are firmly identified with the proficiency of the shot-impacting activity. The essential cycle engaged with shot-impacting is the course of a grating specialist, accepting the type of heterogeneous blend. This heterogeneity is related with:1 organisation of different sorts of grating materials (for instance metal shots and scrap material isolated from the surface being treated,2 shape and size of shots and extent of specific grain size divisions. The fundamental rationale of this shot impacting machine is to eliminate interior scaling or rot brought about by oxidation. The interaction of this machine begins from container, corn meal (shots) moving with the assistance of air at explicit pressing factor travels through lancet which moves in straight movement with the assistance of screw jack assembly. The special Container is associated with engine which turns at explicit RPM which is synchronised with directly moving lancet. In shot Impacting machine 2 cycles happens for eliminating scaling.

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Shot blasting Machine, Surface treatment, Lancet, scaling

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to increase tempo of consruction activity the world over create the heavy pressure on existing land space

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geotextile synthetic fibre

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Judicial Interpretation shapes how the law is interpreted. It Puts the intention of the legislature at the forefronts. The lines between judicial interpretation, judicial activism and judicial overreach are extremely thin. Can the judiciary examine the gaps in the legislature, the answer is a resounding yes, can the judiciary interpret the law in such a way these gapping holes can be filed that is a question that needs some examination. It was thus considered pertinent by the author to discuss the Ritesh Singha v. State of U.P. to answer this question, in this case the supreme court had analysed whether voice samples can be used in criminal investigations when there was no provision in the Criminal Procedure Handbook that such practices can be permitted. It is interesting to study how the judiciary has interpreted the law in this case and thus the author has tried to explain judicial interpretation filing up blaring gaps in the legislature through the Ritesh Singha judgment. The author further adds details to this discussion by taking a step further in discussing how the purposive approach helps foster Judicial Interpretation in situations as mentioned in the Ritesh Singha judgment.

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Purposive Approach, Judicial Interpretation, Criminal Procedure, voice samples, privacy.

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To study the organisational climate of judicial officers of Bihar judicial services, 100 male and female judicial officers were selected to study the organisational climate of Bihar judicial services. For this purpose, organisational climate inventory was developed. In this inventory, 60 items are selected on 7 dimensions of organisational climate, to examine the organisational climate of judicial officers of Bihar judicial services. As per the interpretation of results the organisational climate of the female judicial officers was found to be higher than that of the male judicial officers, and the difference obtained between the two groups was also find to be significant at .01 level. Organisational climate plays an important role in judicial services as the effectiveness of judicial decisions and performance of judicial officers, which influence their style of work and enhance their performance and work engagement. therefore, in this research study developing a new model of organisational climate and it is clarified with the obtained results.

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Organizational climate, Job satisfaction, Judicial officers.

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When a network safety occasion happens, an individual needs to address the accompanying inquiries: what occasions are going on, where are the occasions happening, and how much harm has happened or will happen. This paper strongly prescribed to a network protection observing framework that gives connection of time-series occasion information, a visual portrayal of the security occasions, and gives a prescient figure of potential occasions dependent on known natural states. The reasoning for this comes from the need to have a general perspective on security occasions or tempests that are happening on an organization while giving data regarding seriousness and a spread example. In this manner, it can conceivably give an early admonition so occasions or tempests can be proactively moderated. In addition, it can help in making typical business decisions by determining or understanding the relationship between the computing devices and the business/information technology services they make up.

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Cyber security, Networking, Intel, Zero day attack, Vulnerabilities, SVM, RPL, Ransomware, Intrusion, Detection, Raspberry Pi, SRPL, Crypto.

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Women, Leadership, Performance, Style, Organizational

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OFD, Online Food Delivery, Zomato, Marketing Strategies, Consumer Behavior.

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This project proposes the use of NLP (Natural Language Processing) techniques for detecting 'fake news,' that is, news items originating from untrustworthy sources. Only employing a count vectorizer (using word tallies) or a (Term Frequency Inverse Document Frequency) tfidf matrix to develop a model will get you this far. Is it possible to develop a model that distinguishes between "real" and "fake" news? So, a proposed project would assemble a dataset of both fake and real news and use a Naive Bayes classifier to create a model to categorise a piece of writing as fake or real based on the words and phrases it contains.

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Key words: Educational Environment, Perception, Nursing students

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