Volume 11 | Issue 5 |

 Abstract

Recently, the high demand for marble stones has progressed in the construction industry, ultimately resulting in waste marble powder. Thus, environmental degradation is unavoidable because of waste generated from quarry drilling, cutting, and blasting methods. Marble waste is produced in an enormous amount in the form of odd blocks and unwanted rock fragments. Absence of a systematic way to dispose of these marble waste massive mounds results in environmental pollution and landfills. To reduce this risk, an effort has been made for the incorporation of waste marble powder into concrete for sustainable construction. In this research work, an attempt has been made to understand the behavior of concrete with partial replacement of cement with added percentage values of marble powder and attain required strength. Partial replacement of marble powder in cement accordingly in the range of 0%, 5%, 10%, 15%, 20%, 25%, by weight for M30 grade of concrete. It analyzed the research work the compressive strength, flexural strength, split tensile strength values at 7 ,28 day.

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 Keywords

Marble Powder, Compressive strength, Split Tensile Strength, Flexural Strength

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 Abstract

Attention is a very important part in any games and sports. It deals with focus in any situation and time. This research can be used by any physical educationist for selection of any sports and the position an athlete can play.This research can be studies in current cognitive psychology and neuroscience. Today sports are the more crucial technical proficiency and game plan. Psychological training focuses heavily on teaching students how to pay attention. Tennis player will perform better if they can focus on important information while ignoring unimportant stimuli. In competition, an athlete arousal level frequently rises. These elevated arousal levels can distract an athlete and hurt their athletic performance if they not managed. Mainly there are four types of attention an athlete focuses forthe enhancementof your performance.

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 Keywords

Attention, Brain, Cognition, Mind, Sensation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

There are a lot of import and export transactions taking place these days. Due to the growth of commerce and the widespread use of sea shipping, which is the least expensive method, there have been several instances of oil spills in the ocean. Large-scale oil spill incidents have occurred throughout the world and have had a significant impact on both industry and ecosystems. Many sea mammals and birds perished as a result of these oil spills. After an oil spill, a slick (a thick layer of oil) is left behind, ensuring that sunshine and oxygen can reach the sea. Because of the absence of oxygen and sunlight, it has an impact on life below the ocean. Because some oils are hazardous and poisonous, coming into physical contact with them can be quite harmful for people as well. There are different types of oil skimmers in use as a response to these oil spills. Belt, pipe, rope, and drum types are a few examples. These are all employed in the cleanup of spilled oil. In order to understand how oil skimmers function most efficiently, Nemours conducted a thorough literature review study in the subject of oil spill recovery. This study is entirely based on the methods used to clean up spilt oil.

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 Keywords

Oil Skimmer, Polar Pipe, Skimmer belt, Water Pollution, Oil Recovery.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Automation can be done independently by machines, but it can be enhanced with monitoring and controlling features with the help of IoT. As the world becomes increasingly interconnected, the Internet of Things (IoT) creates an extensive network of devices that regularly exchange data. While this interconnection is happening in businesses and throughout organizations on a global level, it's also happening in individual homes. Smart home devices and gadgets are becoming more popular with consumers who enjoy having all their devices interconnected to serve the purpose of increased convince, comfort, energy efficiency and most importantly personalization which is one of the focus points on this project, with the help of automation of electronics and IoT the experience becomes much more personalized for the user. We propose a pet feeder system which is used to remotely and timely provide pets with food. Along with their intake monitoring system. Most of the system will be automated and the pet eating habits can be monitored remotely. The system in final stages will consist of a food dispensing system with a mobile app and a web dashboard. Water dispensing can also be implemented based on product space and pet consumption habits.

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 Keywords

Automation, IOT, Interconnection, Dashboard, Instrument panel

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 Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental disorder that affects social interaction, communication, and behavior. Eye tracking technology has been widely used in autism research because individuals with ASD often exhibit distinctive patterns of eye movements. Deep learning models like ResNet50 and VGG16 are powerful convolutional neural networks that can extract meaningful features from images. These models have been successful in various computer vision tasks, including object recognition. The combination of eye tracking and deep learning techniques can potentially provide valuable insights into early autism detection. By analyzing eye movement patterns captured by eye tracking devices, and leveraging the capabilities of deep learning models like ResNet50 and VGG16, researchers can develop algorithms to detect specific patterns or abnormalities that are indicative of autism in children. These algorithms can learn from large datasets of eye tracking data collected from both typically developing children and those diagnosed with autism. By training the deep learning models on these datasets, they can learn to recognize patterns that are characteristic of ASD and distinguish them from typical eye movement patterns. The ultimate goal of such research is to create a reliable and accurate tool for early autism detection, which could aid in early intervention and improve outcomes for children with ASD. The results of our experiments demonstrate outstanding performance with accuracy scores of 97%, and 98.7% for the ResNet50, and VGG16 models respectively.

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 Keywords

Autism spectrum disorder (ASD), Eye tracking, Deep learning, Convolutional neural networks (CNNs), ResNet50, VGG16

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 Abstract

Abstract: In this study, the combined bending action of pairs of laminated unequal channel beams with different interfacial connections was introduced into corner-supported modular steel buildings to enhance the interactions between the adjacent beams and modules in modular buildings. These laminated beams consist of C sections acting together by bolts through their flanges. First, a series of experiments were conducted on three laminated beams, i.e. a channel beam with simple interfacial contact interactions (LB-C), a channel beam with four additional shear bolt connections (LB-C-4B), and a channel beam with eight shear bolt connections (LB-C-8B). Mechanical testing on an independent bending channel beam (ICB) was also performed as a control specimen to evaluate the structural performance of LB-C, LB-C-4B, and LB-C-8B, respectively. To further understand the flexural behavior of the laminated unequal channel beams, finite element models of the beams were developed and validated by using the experimental results. The results show that the mechanical performance of LB-C, LB-C-4B, and LB-C-8B is significantly better than that of ICB. In addition, the failure modes of the laminated beams are largely dependent on the stiffness of the interfacial connection between the floor and ceiling beams. Strengthening the interfacial interactions could enhance the flexural performance of the laminated beams. Most importantly, this study presents an analytical procedure for rapid prediction of the initial bending stiffnesses of the laminated beams.

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 Keywords

MSB, Web opening, Buckling analysis

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Data driven decision making has become a one-stop solution to most of the organizational problems. Understanding behavioral dynamics is always a herculean task for marketing managers. The scope of marketing analytics is widening day by day because of the value it carries along. It offers us a feasible solution to analyze the present data and to predict the future trends. Qualitative and quantitative data analysis helps the organization to make strategic decisions. Marketing analytics in the fast moving consumer goods sector has become crucial because they are not only sold in large quantities, but also low priced and non-durable. To tackle cut-throat competition an organization should consider every aspects of marketing and design a model for possible solutions. The present study attempts to understand the theoretical aspects and conceptual models of marketing analytics in the fast moving consumer goods sector.

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 Keywords

Marketing Analytics, FMCG, Behavioral Dynamics

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 Abstract

"An Experimental Study To Evaluate The Effectiveness Of Structured Teaching Programme On knowledge regarding Prevention Of Diarrhea Among Mothers Of Infants ( 0-12 Months ) In A Selected hospital Jabalpur Madhya Pradesh ". Experimental research design was used in present study with 360 mothers of infants from selected pediatric hospital at Jabalpur. Non probability purposive sampling technique was used 44 self structured knowledge questioner were used to assess the knowledge of mothers of infants regarding prevention of diarrhea.. Most of the children 73% had majority immunized with rotavirus. In this experimental research design total 360 mothers of infants was taken it was divided in two groups In control group (180 mothers of infants) knowledge score majority mothers are from poor 56% are from average 25% are from very poor 16% and very few only 3.3% are from good. In experimental group 180 mothers of infants) after the administration of structured teaching programme knowledge score majority mothers are from good 53% are from average 40% are from poor5% and very few 1.6% are from very poor knowledge score regarding prevention of diarrhoea. higher mean 31.7 in the experimental group post test knowledge score and in the pre test with a mean of 18.57. The present study, 'z' test was used to test the significance of difference between the pre-test and post-test knowledge score of mothers of infants in the selected area of disciplining . The data presented in table shows significant Z value.this findings again highlight the effectiveness of structured teaching programme in increasing the knowledge of the respondents regarding various area of disciplining. Most of the demographic variables are associated with pre-test knowledge score .

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 Keywords

M.P.: Madhyapradesh, H: Hypothesis, df: Degree of freedom

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 Abstract

Abstract: Now a day's many accidents happening because of the alcohol consumption of the person who is driving the vehicle. The drunk and driving is a major reason for accident in almost all countries all over the world. Alcohol detection project in car is designed for the safety of the people seating inside the car. This project should be installed inside the vehicle. In this project we have developed an automatic engine locking system. The input for the system is alcoholic breath. The controller waits for the output from alcohol sensor. Here a stimulating process activated using a dc motor through Arduino UNO, if there are any traces of alcohol above the set limit then the engine will be OFF by the system and at the same time the buzzer will on, so that we can avoid accidents. This task gives the layout and implementation of an Alcohol Detection engine locking for vehicles and cars using Arduino UNO. The current scenario shows that the most of the road accidents are occurring due to drunk-driving. The restricted ability of enforcement agents undermines each manual effort geared toward edge drink-driving. Therefore the need for an alcohol detection system that can function without the restriction of space and time. This project presents the design and implementation of an Alcohol Detection with Engine Locking for cars using the MQ3 Alcohol sensor, Arduino UNO. The system will continuously monitor level of alcohol concentration in alcohol detection sensor and thus turn off the engine of vehicle if the alcohol concentration is above threshold level. The project provides an efficient solution to control accidents due to drunk driving.

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 Keywords

MQ-3sensor, Aurdino uno ,Dc motor, Gps,Gsm

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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

 Keywords

Drone, COVID-19, Pandemic, Sanitization, Drugs Distribution

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Creative Commons Attribution 4.0 and The Open Definition