In India, the means of transportation that is used most often train system. It also one those forms suffers a lot obstacles due to human mistakes such as level cross accidents, accidents damaged track or obstruction either static mobile and thefts on trains. addition, it modes transport faces challenges natural disasters. Therefore, there need think about new technology which gives full-bodied, competent stable solution these problems. this paper, an unmanned gate crossing system, broken...

This paper is aimed for benchmarking the existing literature review which illustrates UAVs used in surveillance indoor, and outdoor. includes classifications of like High-Altitude (HTA) Low- Altitude (LTA), their capabilities, kind that they can provide. Similarities Differences Beyond what was noted between HTA LTA UAVs, there are certain operational benefits as well challenges. analysis results copter drone / blimp hybrids we introduce here. In addition to proposed information...

This abstract is a multi-dimension tapestry illustrating the relationship between central figures of UAVs, sensors and data analysis techniques in kaleidoscopic world precision agriculture. The recent progress UAVs technology, along with powerful processing algorithms has made UAV vital tool for crop health monitoring. growing need Early Detection Crop Diseases underlying echo this study that stresses on reducing potential losses due to these diseases, improve agricultural productivity....

Satellite communication has reached significant growth in recent decades. The integrated metamaterials help the development of satellite diverse ways. This is initiated using Ka-band which operates at frequency levels 26.5 to 40 gigahertz. They are largely used for higher data transfer rates with improved bandwidth. integration antenna arrays deep learning techniques helps improving performance communication. Higher gains reduced size important systems. into optimization electromagnetic...

This research work is focusing on the designing and comparison of classification models to assess heart health humans. Two different techniques are explored. The first one a simple competitive neural network based unsupervised learning, while second supervised SCG (Scaled Conjugate Gradient) algorithm. primary objective this compare accuracy these two developed in assessment human heart. All simulations have been conducted MATLAB.

Present paper describes the use of a generalized model cubo-octahedral structure to determine melting temperature CdS nano semiconductor with various shapes and sizes, including nanosolid, nanowire nanofilm. The predicts that decreases decrease in size, which is consistent experimental data other theoretical models. Furthermore, study examines how surface, shape affect emphasises importance semiconductor's dimension reducing temperature. research outcomes provide insights into behaviour at...

A renewable-energy-source-selection (RES-selection) is a complex multi-criteria-decision-making (MCDM) challenge to select the optimal RES on basis of some criteria. The complexity exists due relationship miscellaneous contradictory standards, unknown and vague information. To deal with inherent uncertainties information, theory Ambiguous intuitionistic fuzzy set (AIFS) has been introduced recently. This study an effort provide RES-classification method under AIFS environment. can be...

This research study intends to analyze the water quality of Nainital lake situated in Uttarakhand, India. There are various parameters associated with on which its pollution level depends viz. pH, total dissolved solids, temperature, hardness, BOD (Biological Oxygen Demand), and electrical conductivity. The present article is an attempt anticipate conductivity if hardness temperature values known. ANFIS based models using grid partition, subtractive clustering approach have been created...

This study deals with development and evaluation of two ANN (Artificial Neural Network) based models for categorization the climate types into 3 classes viz. Arid, Temperate, Tropical. The classification are configured trained using different approaches, Probabilistic Network (PNN), Learning Vector Quantization (LVQ) in MATLAB. have been on dataset including related attributes, finally evaluated accuracy. PNN technique has ability to capture complex patterns within data by computing...

Ambiguous intuitionistic fuzzy set (AIFS) theory is more suitable tool to deal with uncertainties as compared (FS) and FS. In this paper, a method for the classification of renewable energy sources (RES) under AIFS environment proposed. Firstly, we propose new aggregation operators, namely ambiguous-intuitionistic weighted-geometric (AI-WG) ordered-weighted-geometric (AI-OWG) are proposed, fuse AIFNs input information. Then, based on these defined develop an approach RES-selection problem...

The input for a sugar industry is sugarcane beat, and output sweet white crystals. However, this process not simple as it looks like. There are various individual sub-processes which run altogether to yield the final product. Broadly, starts with preparation of thin fibers out sugarcane. Then, forwarded series crushing rollers extract juice. This raw juice then passed on pH neutralization filtration process. refined evaporated thick syrup. Finally, syrup crystallizers crystals sugar....

Softcomputing methods e. g. Fuzzy Logic, ANN, GA etc. have proven to be very fast and effective techniques for solving the classification regression problems. They can well applied both linear non-linear data. The results further improved by combining these build a hybrid model. present article addresses anticipation of hardness water. prediction models based on fuzzy subtractive clustering GRNN (General Regression Neural Network) been developed in MATLAB using available raw data pertaining...

This article is inspired from the remarkable results exhibited by AI (Artificial Intelligence) techniques in field of data analytics. The soft computing approaches such as neural networks and fuzzy logic also belong to family. These are very effective making decisions case partial or vague information available. So they popular. Data clustering one significant features these which basically an unsupervised learning. In present work, soil related has been accomplished based on its fertility...

The suspension system of public transport vehicles is meant to provide a comfortable ride by absorbing the shocks irregular and bumpy roads, improving road holding ability tires. Springs Dampers are two major parts system. In this research work, different control strategies viz. Ziegler-Nichols (Z-N) method Simulated Annealing (SA) optimization used in MATLAB develop associated with car A comparison their performance also carried out work.

In recent years, blockchain has attracted extensive interest due to its decentralised and tamper-resistant nature. However, the immutability of data on creates a number difficulties, such as inability eradicate malicious transactions modify incorrect transactions. To facilitate logical editing, majority existing research editable blockchains concentrates block-level replacement or addition new former produces unverifiable editing records, whereas latter lacks secure access mechanism despite...

The air pollution is majorly caused by 3 harmful pollutants viz. SO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> , NO and PM (Particulate Matter). Inside particulate matter, the solid particles are present mixed up with liquid droplets. of two types PM10 PM2.5. diameter 10 mm or less, that PM2.5 2.5 less. These can cause very consequences on mankind. formed as a result chemical reaction taking place between . So, knowledge...

In India the climatic parameters vary too rapidly. such situation rain prediction is very challenging. The classification and regression problem pertaining to rainfall can be effectively solved using some efficient machine learning technique. This thought has been a motivation in developing this research article. secondary data with two attributes viz. humidity maximum temperature used train binary models cluster it into 2 classes 'Heavy rainfall' & 'Light rainfall'. To develop models,...

A fertile soil is essential for healthy plant growth and quality food. This work aims to classify samples into more less soil. It has been carried out using the fertility data of Kumaun, Uttarakhand. The climate very promising in this region India. Here plenty nutrients best pH value resulting an outstanding fertility. Moreover, area, favorable temperature moisture conditions make agriculture economically sound. In work, machine learning techniques, k-means clustering Support Vector Machine,...