Volume 9 | Issue 6

 Abstract

"JANPAD AZAMGARH MEN PHASAL BHUMI UPYOG EVAM JANSANKHYA KRIYASHILATA KA PRATIRUP TATHA GRAMIN VIKAS HETU SAMAJIK, ARTHIK PAKSHON KA BHAUGOLIC ADHAYAYAN"

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"JANPAD AZAMGARH MEN PHASAL BHUMI UPYOG EVAM JANSANKHYA KRIYASHILATA KA PRATIRUP TATHA GRAMIN VIKAS HETU SAMAJIK, ARTHIK PAKSHON KA BHAUGOLIC ADHAYAYAN"

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"GRAMIN SWASTHYA KE VIKAS MEN SAMAJIK V SANSKRITIC AVARODH" (JAUNPUR JANPAD KE VIKAS KHAND DHARMAPUR KE VISHESH SANDARBH MEN

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"GRAMIN SWASTHYA KE VIKAS MEN SAMAJIK V SANSKRITIC AVARODH" (JAUNPUR JANPAD KE VIKAS KHAND DHARMAPUR KE VISHESH SANDARBH MEN

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"BEROJGARI KE PRATI GRAMIN SHIKSHIT BEROJGARON KE VICHAR(JAUNPUR JANPAD MEN BAKSHA VIKAS KHAND PER ADHARIT EK SAMAJSHASTRIYA ADHYAYAN)"

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"BEROJGARI KE PRATI GRAMIN SHIKSHIT BEROJGARON KE VICHAR(JAUNPUR JANPAD MEN BAKSHA VIKAS KHAND PER ADHARIT EK SAMAJSHASTRIYA ADHYAYAN)"

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Face Mask Detection, Convolutional Neural Network(CNN), Datasets, Object Detection

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An experiment was conducted in 2016 cropping season to evaluate residual effect of legumes experimental treatments on maize crop yield at the fields that were used for soybean the previous year at the two agroecological zones (Sudan savanna and Guinea savanna). After clearing and land preparations, experimental plots were demarcated. Plots size was 4 by 4.5m. There were seven treatments replicated four times, each for soybean and groundnut. Maize grain yield showed no significant difference between treatments in terms of maize yield). Result from Sudan savanna soybean field revealed no significant difference between treatments in terms of maize yield (P = 0.123). As for harvest index, there is significant difference (P =0.023) between treatments. On contrast result obtained from Guinea savanna soybean field showed that significant difference exists between treatments. nitrogen treatment recorded highest yield (2175 kg ha-1). Result for major nutrients uptake in maize shoot showed no any significant difference between all the treatments observed in soybean fields at both Sudan savanna and Guinea savanna. From the finding of this study it can be concluded that. Result indicated that residual effect of leguminous crop treatments influenced yield performance of maize in Guinea savanna but no significant difference was observed in Sudan savanna.

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: Inoculants, soybean, maize crop, residual, cattle manure, legfume fix, alosca, sudan savanna, guinea savanna and nutrient uptake

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Nowadays shopping malls and Big Marts keep the track of their sales data of each and every individual item for predicting future demand of the customer and update the inventory management as well. These data stores basically contain a large number of customer data and individual item attributes in a data warehouse. Further, anomalies and frequent patterns are detected by mining the data store from the data warehouse. The resultant data can be used for predicting future sales volume with the help of different machine learning techniques for the retailers like Big Mart. In this paper, we propose a predictive model using XG boost Regressor technique for predicting the sales of a company like Big Mart and found that the model produces better performance as compared to existing models.

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XG Boost Regressor, Machine Learning, Data Set, Data Exploring, Data Cleaning, Feature Engineering, Building Model.

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The discharge of administrative discretionary powers needs for hearings, even before the administrative authorities. While hearing, the authorities are required to observe principles of natural justice in addition to the legislative mandates. Right to be heard forms a part of the package of principle of natural justice yet jeopardized in exceptional situations, which calls for the post-decisional hearing as a savior not to defunct the overall proceedings. The problem arises once the decision is taken and if the person at stake had already suffered due to the same. The courts had tried to strike a balance in this situation to cure the urgency of the decision-making right of the aggrieved to be heard before any detriment is caused to his interest.

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Post decision hearing, administrative discretion, natural justice

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

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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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Classifier, Feature extraction, Image processing, Leaf disease

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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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Large Dams, River, Environment

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

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

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

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

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

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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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Neural architecture search, Image segmentation, Deep neural network

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Now-a-days, rented cars are being widely used by people and the business growth pertaining to this sector has been tremendously increasing in recent years. However, the cars have been the primary requirement for running the firm; it is absolutely required to keep track of these valuable assets. The monitoring of cars is very much important as the firm holds large number of cars and the tracking of each car's health being used by the customers simultaneously is the primary concern. These challenges can be tackled with the help of On-board diagnostics. On-board diagnostics is an automotive term referring to a vehicle's self-diagnostic and reporting capability. OBD systems give the vehicle owner or repair technician access to the status of the various vehicle subsystems .The amount of diagnostic information available via OBD has varied widely since its introduction in the early 1980s versions of on-board vehicle computers. Early versions of OBD would simply illuminate a malfunction indicator light or "idiot light" if a problem was detected but would not provide any information as to the nature of the problem. Modern OBD implementations use a standardized digital communications port to provide real-time data in addition to a standardized series of diagnostic trouble codes, which allow one to rapidly identify and remedy malfunctions within the vehicle. A car generally is equipped with OBD-I or OBD-II bus to specify the reports or diagnostics of the vehicle.

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On-board diagnostics, self-diagnostic, idiot light, real-time data, diagnostic trouble codes, malfunctions.

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Prediction, Data mining, Logistic Regression, Decision tree, Random Forest.

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Cryptography; Encryption; Decryption; DNA Algorithm.

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