Volume 9 | Issue 6 |

 Abstract

Today mobile internet, social media and internet of things have a broader application predominance, that paved the way for the age of big data. Digitization has won prominent parts of people's way of life. Both people and government are more inquisitive about Smart City trends or Smart Companies to attain greater sustainability and better norm of living. This research is an endeavor to discuss those big data applications are highly beneficial for implementation of smart cities as they impart ample opportunities but even have multihued challenges and problems. Smart cities are well known for the human dynamics within which we are connected by devices called the Internet of Things. Big Data Analytics aids in decision making from both Smart City intelligence or smart business domain. This research article is about framework of big in smart cities or smart companies with a composite of urbanization and Computerization and furthermore discusses the requirements, challenges of how big data analysis is utilized for decision making.

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 Keywords

Big Data, Internet of Things, Smart City, Smart Company, Data Analytics, Emerging Technologies, Decision Making

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 Abstract

Leaf spots can be indicative of crop diseases, where leaf batches (spots) are usually examined and subjected to expert opinion. In our proposed system, we are going to develop an integrated image processing system to help automated inspection of these leaf batches and helps identify the disease type. Conventional Expert systems mainly those which used to diagnose the disease in agriculture domain depends only on textual input. Usually abnormalities for a given crop are manifested as symptoms on various plant parts. To enable an expert system to produce correct results, end user must be capable of mapping what they see in a form of abnormal symptoms to answer to questions asked by that expert system. This mapping may be inconsistent if a full understanding of the abnormalities does not exist. The proposed system consists of four stages; the first is the enhancement, which includes HIS transformation, histogram analysis, and intensity adjustment. The second stage is segmentation, which includes adaptation of fuzzy c-means algorithm. Feature extraction is the third stage, which deals with three features, namely color size and shape of spot. The fourth stage is classification, which comprises Leaf disease.

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 Keywords

Classifier, Feature extraction, Image processing, Leaf disease

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 Abstract

Water is very important and key elements of human life for drinking purposes as well as related to human daily need. Increasing demand of water caused the emerging science of dam engineering and also construction large dams for Irrigation purposes, drinking, industrial, flood control, power generation, recreational, fishery and tourisms etc. In India inland water bodies combined together, stretch over 45,000 km across the country, making India one of the richest fish germ-plasm in the world. However, the reallocation of water through dams has severely affected the ecosystem of these rivers, as the downstream flows are restricted and mangroves vanish. Large dams can remarkably effect on the environment as a non- stabilizing factor in nature in various stages of construction, operation and end of life by stopping the flow of the river and stored water on its up-steam site. However, if the environment cannot tolerate this instability, the results of the destruction of this structure will gradually rise and the objective of dam construction will be lost. In this paper, we will review the environmental impact of construction large dams on some rivers across the country and we will separately examine the use of several large dams as an important and effective option.

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 Keywords

Large Dams, River, Environment

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Creative Commons Attribution 4.0 and The Open Definition

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The emotional and mental state of a driver is very important for driving. There are many factors that affect the driving state of the driver such as fatigue , depression , sadness, nervousness , anger etc. which can cause many accidents. This paper presents an approach which is based on Convolution Neural Network (CNN) which helps in detecting the emotional and mental state of the driver. Due to which we can avoid many motor vehicle accidents. Afterwards, we noticed that the real-time emotion detection could be more effective, which continuously detects the emotional and mental state of the driver and send the alert message if driver is stressed, depressed, angry, fatigue etc.(negative emotions) which is dangerous and can cause accidents.

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 Keywords

Road Safety, Emotion Detection, Mental Health Detection, Accidents, Convolution Neural Network.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Water is very important natural element of mankind for drinking as well as purposes related to human life and human need. Rivers are the primary source to meet water demand for human needs as well as ecosystem function and structure. Flowing water in a river is one of the important determinants and primary driving forces that influence aquatic ecosystems and the health of the river. Increasing demand of water caused the construction large dams for agricultural purposes, drinking, industrial, flood mitigation, hydropower generation, recreational, fishery and tourist etc. Large dams can remarkably effect on the environment as a non- stabilizing factor in nature in various stages of construction, operation and end of life by stopping the flow of the river and stored water. If the environment destruction or damage will gradually rise and the objective of dam construction will be lost. In this paper, we will review the environmental impact of construction large dams on some rivers in the India and we will suggest some ways to deal with these effects and finally we will separately examine the use of several small dams instead of big dams as an important and effective option.

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 Keywords

Dams, Impact, Control measures, river, catchment and ecosystem.

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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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SHIKSHA, MULADHIKAR, ADHINIYAM ,ANIVARYA SHIKSHA,NI:SHULK SHIKSHA, SHIKSHA KA ADHIKAR ADHINIYAM

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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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diabetes, prevalence, adults, incidence

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Concrete is the most commonly used construction material. Customarily, concrete is produced by using Ordinary Portland Cement as a binder a highly energy intensive product which causes pollution to the environment due to the emission of carbon dioxide. Attempts to reduce the use of Portland cement in concrete are receiving much attention due to the environment related. Geopolymer concrete is a new material that does not need the presence of Portland cement as a binder. Research in the field and publications in this field of geopolymer binders, states that this new material is highly potential to replace an alternative to Portland cement. The Durability of these materials is better than OPC which is the main advantage as such it can be replaced. Considering the increasing demand for developing alternative construction materials, due to the growing environmental concerns, this paper discusses the feasibility of alkali activated geo-polymer concrete, as a future construction material. The main objective of this study involves observation of strength behaviours of the fresh fly ash-based and ggbs geo-polymer concrete, understanding the basic mixture proportioning of fly ash-based geopolymer concrete and evaluating various economic considerations

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 Keywords

Alkali-Activated Concrete, Ordinary Portland cement, Geopolymer concrete, alkaline activator, Fly-ash/slag

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 Abstract

In this Paper, The Wireless Power Transfer (WPT), Wireless Power Transmission, Wireless Energy Transmission (WET), Or Electromagnetic Power Transfer (EPT) is the Transmission of Electrical Energy Without Wires. In this paper we develop a mathematical model for SCMR to calculate the resonant frequencies other electrical characteristic for the given coil in MATLAB and we briefly summarized the middling methods of wireless power transfer using Strongly Coupled Magnetic Resonance (SCMR) to power embedded system application. The outcomes from the model are experimentally verified through the execution of the several designs. The MATLAB model within 10% of the experimental values is explicit. Also we deliberate the optimal design for maximum wireless power transfer. Prior work shows in wireless energy transmission for resonating coils over 2 meters at 40% efficiency with 60 cm diameter. We significantly design with wireless energy transfer via SCMR over 10 cm using 8 cm diameter coil, approximately 7 times smaller. The Outstanding choice for powering small scale embedded systems application i.e. smaller design.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

SCMR, WPT, WET, PET, MATLAB, Strongly Coupled Magnetic Resonance, Wireless Power Transfer

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Neural Architecture Search (NAS) is one of the most significant tool for automatically constructing deep neural networks. The generated neural networks are mostly applied for image segmentation ,image classification and natural language processing. However, there are increasing need for image segmentation in different areas, such as medical image processing, satellite image object location, and autopilot technology

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Neural architecture search, Image segmentation, Deep neural network

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Creative Commons Attribution 4.0 and The Open Definition