Volume 9 | Issue 6 |

 Abstract

बालक देश के विकास के मजबूत स्तम्भ होते हैं । इनका मजबूत होना समाज के लिए आवश्यक हैं l लेकिन दुर्भाग्य हैं की तमाम नीतियों के होने के बाद भी बालकों की आबादी का एक बड़ा हिस्सा बाल श्रमिक के रूप मे कार्य करने के लिए मजबूर हैं l इसके कई कारण हैं लेकिन जानने के बाद भी कुछ विशेष सफलता बालश्रम को रोकने मे नहीं मिली हैं l प्रस्तुत शोध पत्र द्वितीयक स्रोतों पर आधारित हैं l

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 Keywords

बाल श्रम ,गरीबी ,यूनिसेफ़ ,शोषण ,सीजनल, शहरी वातावरण

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 Abstract

Bricks are mostly used in construction throughout the world. Traditional bricks are made up of clay which is treated in high temperature kiln firing. The removal of top layer of the soil and clay from the resources cause soil erosion. The conventional technique of masonry bricks production has caused severe environmental pollution due to the massive emissions of greenhouse gases which lead to several climate changes such as haze, fog, air pollution, acid rain and global warming. Consequently, the main objective of this paper is to study the development of eco-friendly interlocking bricks for masonry applications by incorporating silica fume. Interlocking bricks are the enhanced form of conventional clay bricks. Each brick is constructively designed to lock itself to the other bricks around without the use of mortar. The self-locking is achieved using shear-key and lock mechanism. Based on the design, the shape of shear-key will vary and a complimentary lock is provided on the opposite side of brick. Load transfer is achieved by shear transfer and gravity. Silica fume is a by product of producing silicon metal or ferrosilicon alloys. One of the most beneficial uses for silica fume is in concrete. Because of its chemical and physical properties, it is a very reactive pozzolan. Partial replacement of cement with silica fume in interlocking brick by 5%, 10%, 15%, 20%, 25%, 30% were used in this study. Compressive and Water absorption test, Block density was conducted to find out the characteristic changes.

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 Keywords

Self locking, shear key, ferrosilicon alloys, pozzolan, block density.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Fog Computing is a paradigm that expands Distributed computing (cloud computing) and administrations to the edge of the network. Comparable to Cloud, Fog gives information, process, stockpiling, and application administrations to end-clients. The inspiration of Fog processing lies in an arrangement of genuine situations, like Smart Grid, keen traffic signals in vehicular networks and programming characterized networks. Nowadays usage of cloud computing has increased broadly but there are some issues which have not been solved due to inherent problems of cloud computing like unreliable latency, no mobility support and location awareness. Fog computing is also known as edge computing . This can resolve all those problems by providing elastic resources and services to the end users. This paper discusses the definition of fog computing and its applications in IOT (Internet of Things). It also gives some advantages and challenges of fog computing.

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 Keywords

Fog computing, Edge computing, IOT (Internet of Things), Cloud computing

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Creative Commons Attribution 4.0 and The Open Definition

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In recent times, Heart Stroke prediction is one of the most complicated tasks in medical field. In the modern era, approximately one person dies per minute due to heart Stroke. Data science plays a crucial role in processing huge amount of data in the field of healthcare. As heart stroke prediction is a complex task, there is a need to automate the prediction process to avoid risks associated with it and alert the patient well in advance. This paper makes use of heart stroke dataset. The proposed work predicts the chances of Heart Stroke and classifies patient's risk level by implementing different data mining techniques such as KNN, Decision Tree and Random Forest. Thus, this paper presents a comparative study by analyzing the performance of different machine learning algorithms. The trial results verify that Random Forest algorithm has achieved the highest accuracy of 99.17% compared to other ML algorithms implemented.

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 Keywords

KNN, Decision Tree, Random Forest, Heart Stroke Prediction

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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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accidents, application

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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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ACCESS TO JUSTICE AND LOCUS STANDI

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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

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Creative Commons Attribution 4.0 and The Open Definition

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In injection molding cycle, packing phase predominate part quality and responsible for defect free part. The packing pressure, melt temperature, mould temperature, plastic materials, and the configuration of the runner and the gate are all factors that influence the production of components in injection moulding during the packing process. It's very tough only by trial and error to identify them. For packing analysis, Moldex3D is a valuable tool for dealing with this issue. Packing phase comprises different parameters which contribute in packing formation and part quality. These parameter has been studied and analyzed in conventional and conformal cooling channels so the effect of conformal cooling channels on packing parameter can be optimized and analyzed where ever it is needed.

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 Keywords

Injection Molding, Packing Phase, Packing Analysis, Conventional Cooling Channels, Conformal Cooling Channels, Packing Parameter

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Two element mono-pole antenna, FR-4 substrate, micro strip feed, HFSS software.

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Creative Commons Attribution 4.0 and The Open Definition

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In the service sector, Airline Industry is the biggest transportation industry in worldwide. To achieve customer loyalty quality service plays avital role, so this industry needs to focus on unique service strategy to attract and retain its customers. Service quality and price both are the most influential factors of this industry.This investigation looks at the basic powers of service quality impacts on the airline travelers. In the study the researchers have tried to inspect which measurements affect service quality and which measurements have the most and least significant effect on service quality in worldwide air travel, via carrier travelers. The sample size of the study is 106. This investigation broke down the information from travelers of two classes, economy, and business. The outcomes propose that there are various components of in-flight service quality that are significant as indicated by the client and class. The dimensionality of service quality in universal air travel was investigated and three measurements were distinguished. These measurements remember for flight service, in-flight computerized administration and service and back-office activities. The discoveries uncover that these three measurements are emphatically identified with see administration and service quality in universal air travel and of these measurements, Cuisines gave, seat comfort wellbeing are the most significant measurement in-flight administration service quality. Individual amusement is the most significant measurement as seen via aircraft travelers In-flight advanced help quality. Online ticket booking is another measurement in back-office tasks. Moreover, the discoveries demonstrate that travelers" fulfillment on various aircraft organizations on premise of the services conveyed.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Service quality, customer satisfaction, airline passengers, Aviation Industry

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Creative Commons Attribution 4.0 and The Open Definition