Volume 10 | Issue 4

 Abstract

to deliver online tiffin in university

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online tiffin system

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Employing large intelligent surfaces (LISs) is a promising solution for improving the coverage and rate of future wireless systems. These surfaces comprise massive numbers of nearly-passive elements that interact with the incident signals, for example by reflecting them, in a smart way that improves the wireless system performance. Prior work focused on the design of the LIS reflection matrices assuming full channel knowledge. Estimating these channels at the LIS, however, is a key challenging problem. With the massive number of LIS elements, channel estimation or reflection beam training will be associated with (i) huge training overhead if all the LIS elements are passive (not connected to a baseband) or with (ii) prohibitive hardware complexity and power consumption if all the elements are connected to the baseband through a fully-digital or hybrid analog/digital architecture. First, a novel LIS architecture based on sparse channel sensors is proposed. In this architecture, all the LIS elements are passive except for a few elements that are active (connected to the baseband). We then develop two solutions that design the LIS reflection matrices with negligible training overhead. In the first approach, we leverage compressive sensing tools to construct the channels at all the LIS elements from the channels seen only at the active elements. In the second approach, we develop a deep-learning based solution where the LIS learns how to interact with the incident signal given the channels at the active elements, which represent the state of the environment and transmitter/receiver locations. We show that the achievable rates of the proposed solutions approach the upper bound, which assumes perfect channel knowledge, with negligible training overhead and with only a few active elements, making them promising for future LIS systems.

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Large intelligent surface, intelligent reflecting surfaces, reconfigurable intelligent surface, smart reflect-array, beamforming, millimeter wave, compressive sensing, deep learning.

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: This paper focuses on application of geosynthetics in engineering it includes use of geosynthetics in canal lining, landfill, railways, retaining walls. Geosynthetics include function of separation, reinforcement, drainage and protection. Results from past analysis of geosynthetics and polymeric the outcome is the necessary products that is used geofoam, geomembranes, geotextiles, geocells and remarkable to the good performance of roadways.

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Geosynthetics, Geotextiles, Canal lining, Geocells, Landfill, Geofoam, Geomembranes, Retaining Walls. ___________________________________________________

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Impact Strength, Polymer Composite Materials, Natural Fibre Materials

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Human Knowledge, Epistemology, Enquire, Extent of human knowledge

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According to the studies conducted by the University of Chicago's Energy Policy Institute, urbanization is a major cause of air pollution, but it is inevitable. This study aims to determine the impact of air quality on land conversion in urban areas and propose a solution for enhancing the quality of air. This study examined variations in air quality resulting from different land use patterns in Bengaluru, including residential areas, forest areas, wide-open spaces, farmland, barren layouts, and plotted layouts that had vegetation. To calculate the air quality index, particle matter, PM2.5, and PM10 were measured using a Plat tower PMS5003 air quality sensor. The plotted layout with vegetation is considered the center, around the radius of 500m to 2000m surroundings with different land-use areas AQI was measured. The values are plotted and analysed. In comparison to other populated areas, the plotted layout with vegetation shows a better AQI. For the betterment of AQI, we need to design a layout in such a way that the planted trees in the layout will absorb the maximum possible PM particles from polluted air. Our proposal says that choosing trees for the layouts and planting them in the right place helps to improve the air quality index.

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Urbanization, air quality, PM particle, environmental degradation, AQI.

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A. Cam is a mechanical device used to transmit motion to a follower by direct contact. The driver is called the cam and the driven member is called the follower. In a cam follower pair, the cam normally rotates while follower may translate or oscillate. The cam is a rotating part that provides reciprocating or oscillating motion to the follower by direct contact. Jumping happens when cam rotates at critical speed above certain value. At jumping, the speed is so high that the follower does not follow the cam and we get a sound of different type. The Cam-Follower material should have good thermal conductivity, thermal resistance and withstand high contact pressures. Friction composites mainly consist of about ten classes of ingredients such as, binder, fibres, friction modifiers and fillers. The proper selection of cam profile is the most important aspect in a diesel engine, as it determines the magnitude of valve lift. Hence in this case study, the cam follower material of Grey Cast Iron is tested with Stainless steel and Al2014. The main objective of the research is to find the alternative material for Grey cast iron so as to reduce the weight and maintain the strength. Hence wear analysis is done on Tribometer for wear rate and wear volume analysis.

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Impact Strength, Polymer Composite Materials, Natural Fibre Materials.

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With the growing demand for renewable energy, the demand for PV electricity has expanded even more due to its abundant supply and ease of control. The most critical factor in PV system design is effective solar energy conversion and cost reduction. A photovoltaic system is proposed to be modelled and simulated in this work. The effect of temperature on the power is studied in this paper and for this different temperature were studied The proposed work also perform an analysis using Ansys workbench to check the thermal properties of material used for PV cell in order to make the solar PV cell design optimized. This work examines the impact of temperature on the maximum power thus the proposed model performs analysis for different temperature to evaluate the maximum power generated by the system.

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Renewable Energy, MATLAB, ANSYS, Thermal Properties and Design Optimization

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Floods is the most common natural disaster which occur when excess of water flow onto the land and that can have living life and stability losses Some reason are responsible to cause flooding For e.g. rapid snowmelt, blockage of the drainage system, high rainfall, insufficient water pump capacity in flood prone areas, improper environmental damage . there are different type of flooding. they are such as Storm Surge, Coastal Flood, River Flood etc. The aim of this paper to find out flood prediction using Artificial Neural Network. The aim of this project is to monitor real time the flood data and alert notification if there is an occurrence of risk through IOT. The rising water level is use to detect the floods . The system uses different sensors to detect maximum water reach point, storage of tank, rain fall sensor and measure the value at every stage. The sensor senses the data and processed to microcontroller and is transmitted to internet through wi-fi Module. The system sends data to Mysql database and applies Artificial Neural Network algorithm to perform Classification process. The experimental results show real time data that might be useful to prevent from flood. Artificial Neural Network give us Training data accuracy and validation data accuracy, training data loss and validation data loss respectively.

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height of maximum water reach point, Storage of tank, Rain fall Sensor, Solenoid Valve, Water Flow Sensor, buzzer,MySql, Webhosting etc.

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Work Life Balance, Covid-19, Women, Remote Work

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Many sports may need a tactical assessment, movement analysis, video, and statistical database and modeling, and coach and player data presentations. Large amounts of data were collected in the world of cricket. The data requires to be analyzed for useful insights. Cricket analytic is an ideal market for acquiring innovative players. The Cricket Analysis and Prediction using Machine learning will make use of different machine learning techniques. Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. Predictions like who would be the winner, what would be a score, or which player has the same skills as other players will be made using the Machine learning model. The proposed system will be developed using the Python programming language. Django framework will be used. The Ml learning model will be built and trained using Sklearn and Tensorflow

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Machine Learning, Supervised learning, Analytic, Cricket.

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Keywords: Perceived usefulness of online teaching-learning, Attitude towards online learning, student teachers.

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Increasing thirst for novel new sources of energy is unquenchable, but we seldom realize that we are wasting a component of the power everyday because of the lagging power factor in the inductive loads we use.Hence necessity arises to provide energy to load at its full potential without the wastage of power so as to achieve such, we have to improve power factor which occurs because of phase shift between voltage and current.To minimize harmonic contamination in power system and reduce transmission loss, power factor correction became an essential topic. Many control methods for Power Factor Correction (PFC) were proposed. This paper describes the layout and development of a one-phase power factor corrector using PIC (Programmable Interface Circuit) micro- controlling chip unit, after determining their zero crossing locations of load voltage and current waveforms. Capacitive banks are used for the compensation of power factor according to the load connected which is determined based on microcontroller based algorithm. Then using desired algorithm in determining and triggering switching capacitors in order to compensate excessive reactive components, thus withdraw PF about unity; as a result, acquires higher efficiency and better-quality AC output

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Introduction, proposed topology,circuit design,working,conclusion,references

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Population,Green Energy,National Solar Energy Mission,Air Pollution, Carbon Emission Fuels, Fire Wood, Non-renewable Resources

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About student grade prediction using machine learning algorithm for students who wants to know their grade based on their previous exam results and their activities.

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Machine learning algorithms, web development tools like html, JavaScript, etc , python , pycharm tools , excel dataset

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Hill State, Decreasing, Agriculture land, surviving for employment, irrigated & unirrigated land

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There are some locations where humans find it difficult to reach for inspection; for example, a minor leak in an engine may be practically impossible to detect with the naked eye, but such minor faults will result in significant air accidents. We need to increase the quality of repair and inspection to reduce such errors. Humans may become tired and complacent over time, while robots do not. We may be able to have a better examination with a higher rate of accuracy if we use robots. As a result, we've presented a new concept for aircraft robot inspection that could serve as a second layer of inspection. Our research has the potential to drastically reduce the amount of negligence that occurs. With this study, we hope to make significant advancements in airplane inspection. These robots can also be used in pipeline inspections because they are equipped with a night vision camera that allows them to send video even when there is no light source inside, detect gas leaks, and determine the temperature of a given location.

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Inspection, Aircraft, Pipeline, Robot, temperature, night vision, gas detection

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Cooperative Banking, Finance, Rural Economy, PACS

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Background: Lumbarization of the first sacral vertebra refers to the segmentation and incorporation of this vertebra into the lumbar spine. Sacralization is the fusion between L5 and the first sacral segment. Aim: To Identification Sacralization of L5 and Lumbarization of S1 in Ls Spine in plain x-ray. Methods: Patients are divided into two groups according to sacralization and lumbarization . 120 patients 66 males and 54 females were divided into two groups on the basis of age and gender. Result: Out of 120 patient, 66 patient were men and 54 were women. Result shows that Lumbarization and Sacralization were found in age group of 20-40 years and they were mostly men. The rest patients have normal back pain and not found any deformity. Conclusion: It can be concluded that patient of group A age 20-40 years have higher risk of Lumbarization and Sacralization . A total no. of 120 patients in which 38 patients have Lumbarization, 13 patients have sacralization and rest is normal. In the study found that males have higher no. of Lumbarization and Sacralization compare with females.

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Sacralization, L5, S1, LS, Lumbarization, Spine, Radiography.

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COVID-19 pandemic has rapidly affected our day-to-day life disrupting the world trade and movements. Wearing a protective face mask has become a new normal. In the near future, many public service providers will ask the customers to wear masks correctly to avail of their services. Therefore, face mask detection has become a crucial task to help global society. The proposed method detects the face from the image correctly and then identifies if it has a mask on it or not. As a surveillance task performer, it can also detect a face along with a mask in motion.

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OpenCV = Open Computer Vision, CNN= Convolutional Neural Network

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