Volume 9 | Issue 6 |

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Emergency alert

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Marketing, Consumer Behaviour, Buying behaviour, Advertisement, Bhopal

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This study explores the various factors responsible for material cost overrun and the corresponding gap in the estimated and actual material usage. Construction projects in India are often undertaken by Small to Medium-sized Enterprises (SMEs), and are heavily susceptible to an increase in cost from the estimated value leading to the SMEs not being able to arrange for the required additional funds.

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Material Management, Construction, Cost overrun, Gap Analysis, SME Projects.

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Framed reinforced concrete structures are most commonly types of structures constructed all over the world due to ease of construction and rapid progress of work. Generally, brick or block work masonry is done in these frames which act as an infill panels in the framed structure. Infill walls provide the lateral stiffness to the structure. Its behaviour is very different from the bare frame structure.in this research we are trying to find the structural behaviour of Rcc structure when subjected to lateral loads and applying the bracing with changing the position of infill we observe that the position makes a huge difference in structural behaviour. nowadays typical structures with irregularities in it becomes a trend to change the infill with glass panel. our is to find the location of infill which is good for structure and its stability. Methods adopt here by taking the different type of structure like T-shaped and inverted T-shaped structure and applied different positions of infill to check the effects on structure. The results of this is compared with the bare frame and we observed that the bare frame shows maximum deflection, reduction in stiffness, story drift maximum. Infill in the structure shows comparative stability in the structure. As per our results we can suggest the stable positions of infill our aim is to provide the best possible positions of infill in irregular structure.

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multistore structure, role of infill, masonry infill, modelling parameters, story response evaluation

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Untouchability, Dalits, Slavery, Identity crisis, casteism, suppression, fatalism, Discrimination.

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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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Key agreement protocol, symmetric balanced incomplete block design (SBIBD), data sharing, cloud computing

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Creative Commons Attribution 4.0 and The Open Definition

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

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

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Creative Commons Attribution 4.0 and The Open Definition

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

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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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Creative Commons Attribution 4.0 and The Open Definition

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KNN, Decision Tree, Random Forest, Heart Stroke Prediction

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Creative Commons Attribution 4.0 and The Open Definition