Volume 9 | Issue 5 |

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Internet of Things(IoT), Characteristics, Architecture, IoT in Education, Challenges, Future impact.

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Nowadays, machines are so advance that they are taking place of humans. And machines are able to do such a great task in few minutes, all because of data with the help of that machine are getting trained. We have a huge amount of data everywhere. But not all the data are meaningful. We need to analysis the data and extract the meaningful data and used that data to build strong algorithm. We can achieve that with the help of data mining and machine learning. Nowadays machine learning is helping in every field with the great intelligence. Machine learning and deep learning is the integral part of Artificial intelligence, in this paper we will focus on some important part of machine learning and types of machine learning like supervised learning, unsupervised learning, reinforcement learning. We will also analyze from 1952(machine learning word first introduced by Frank Rosenblatt) to 2021 how much machine are advanced, and what they can do further in future

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Creative Commons Attribution 4.0 and The Open Definition

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Machine Learning, Deep Learning,

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Creative Commons Attribution 4.0 and The Open Definition

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this paper presents the Sugarcane Bagasse Ash (SCBA), Marble Waste, (MW) in construction products. The partial replacement of fly ash and M sand by bagasse ash and marble waste respectively give considerable cost reduction and equal strength-controlled mix. This paper gives a clear idea about the partial replacement of fly ash and M sand by of SCBA and marble waste respectively up to 10%. The study of partially replacing sugarcane bagasse ash useful in the construction industry such as concrete, cement mortar, bricks as well as for environmental protection.

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Creative Commons Attribution 4.0 and The Open Definition

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Sugarcane Bagasse Ash (SCBA), Marble Waste, (MW), Cement, Fly ash Brick, etc

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Creative Commons Attribution 4.0 and The Open Definition

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Nowadays, renewable energy sources are growing at a faster rate. Wind, nuclear, solar, thermal, and other energy sources already exist in large quantities. This system implemented a new system known as a sound absorption unit, which is used to absorb sound from human speech. This absorbed energy is retained in the battery and used as a source of energy in the future. This system also includes two additional devices, a peilter and a thermal unit, which absorb pressure and temperature input from humans. These devices are linked to a nodeMCU, which displays a live graph of the energy produced, such as sound, pressure, and temperature.

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Footstep piezo electic,sound absorbtion unit,energy,power supply, dc-dc booster,thermal device ,connecting wires.

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Creative Commons Attribution 4.0 and The Open Definition

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Image steganography is a way to provide hidden data to a host image to transfer it safely. There are many ways to do this. Choosing the right algorithm is a necessary step. This paper introduces a study of the famous steganography techniques and discusses their beauty, limitations, and comparative performance. The basics of steganography imagery, the features of steganography imagery are covered in paper. Image steganography techniques can be categorized according to different criteria. Separation is also included in this paper. Five main ways of photographs are reported in this paper. An in-depth analysis of each method, their relevance, and the reduction and comparison of strategies are performed in this paper. Various stainless-steel tracks are also covered. With access to confidential information to be sent, security provision is an unavoidable issue that will not be compromised. The most widely used algorithm in this field has a huge gap. This is the state of cracking of hidden messages in an image file. This is due to the simplicity of the algorithm that provided a place for easy cracking of messages. Therefore, the Security Extensibility algorithms are called the SRM steganography algorithm.

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digital image, information hiding, multimedia security, watermarking,stenography

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Lantana camara is a notorious, noxious and invasive weed having 650 varieties in over 60 countries. It is established and expanding in many regions of the world. There are different species of fungal endophytes residing in lantana which are having numerous properties also. The main fungal endophytes isolated from lantana are Helminthosporium sp and Fusarium oxysporum, Alternaria alternata and Aspergillus nidulans. These fungal endophytes are capable to produce certain bioactive compounds such as 1-docosanol, 1-octadecanol, all-trans- anhydrorhodovibrin, perillol, phytol, n-hepta-decanol-1, n-hexadecanoic acid. These bioactive compounds are efficient in controlling pathogens .This review addresses the general view of lantana camara and various properties of fungal endophytes.

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Lantana camara Linn., fungal endophytes, bioactive compounds, stress conditions.

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The importance of knowing environmental conditions is undoubtedly these days.Knowledge of having environmental conditions will help us to know better about our surroundings. Due to global warming it has become harder to determine the type of weather around us. Thus frequent monitoring and prediction of the weather is difficult. Thus we need proper information about the weather. Thus the decision maker can take the appropriate decision of the weather. So the decision maker needs to develop a system that can monitor and predict the weather in real time conditions. The Internet of Things(IoT) is very helpful for predicting and monitoring this kind of situation. As it can work with real time data as well as the past data that was recorded earlier. This IoT sends data through Wireless Sensor Network(WSN) to the computational devices so that the result can be generated. Thus many have moved from physical parameter flood prediction to real time computational monitoring. The proposed system uses different atmospheric sensors such as humidity , temperature , pressure and rainfall. The recorded data is stored and passed to the device and thus the result is obtained.

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IoT, WSN, Machine Learning

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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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smoothie, Carrot, herb

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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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Fire alarm system, thermistor, operational amplifier

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Creative Commons Attribution 4.0 and The Open Definition

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This paper is about the history and current status of culinary tourism and its future scope and challenges. Through this paper the advent of culinary tourism and its growth in recent times has been explained. Culinary tourism is the art of indulging in different food items while exploring different locations. Tourism is a major sector in the world, both in terms of revenue generated and livelihood catered. And in turn food forms a significant source of that and it has a major impact in the tourism development of a destination. Due to this reason culinary tourism has slowly found its place in the enhancement of tourism of a particular region. Even in India, culinary tourism is vastly unexplored. There is a huge potential in the remote regions of the country when it comes to attract tourists solely on the basis of ethinc culinary experience. Every state has its own taste, dish, spices, garnish to boast about. If properly channeled, the potential benefit is immense. Culinary culture is an important factor to promote a destination. In line with these factors, this paper highlights culinary tourism and its future prospects.

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Creative Commons Attribution 4.0 and The Open Definition

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Culinary, Tourism, Food, Delicacies, Cuisines, Culture

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Creative Commons Attribution 4.0 and The Open Definition