Volume 11 | Issue 5 |

 Abstract

This project discus about the strength of steel columns with thin walls. The typical stress-strain curves have a large strain hardening region, a gradual yielding, and a nonlinear course. Corrugated concrete filled steel tube columns are widely used in long-span and substantially laden buildings because to the benefits of its flexible joint types, larger moment of inertia, and ease of meeting construction regulations. To Corrugated concrete filled steel tube columns can use a variety of channel column shapes, but it is necessary to assess the dimensions of each shape's section. A parametric study of corrugated sections is necessary to assess the impact of variables on section behavior. the effectiveness of poured concrete and corrugated steel tube as load-bearing materials should be compared. Different corrugated steel tube types, including trapezoidal and rectangular shapes, were used to understand the behavior of bucking load capacity.to find out how various loading and boundary conditions behave. To determine which concrete ratios work best in steel tubes filled with corrugated concrete. We discover that the rectangle forms of the corrugate section have the highest bucking load-carrying capacity in the scenario of CFST column axil loading condition with bucking load analysis

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 Keywords

FEA,C-section, linear analysis, load capacity

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Road traffic in India is a big issue for the country. Because road traffic is expanding on a daily basis due to population growth and increased car consumption, it is critical to obey traffic laws with good discipline or the number of accidents will increase. Traffic rules include traffic sign boards and traffic signals that must be obeyed by everyone in the country. To provide full help to drivers in following traffic signs, we use Traffic Sign Board Detection and Voice Alert System, which allows us to limit vehicle speed and reduce the number of accidents. Following the system's identification of the sign, a voice alert is transmitted through the speaker to notify the driver. The proposed system also includes a segment in which the vehicle driver is informed to nearby traffic signs, allowing them to be aware of what laws to follow on the road. The goal of this system is to protect the driver, passengers, and pedestrians in the vehicle. The primary goals of this project are detection and recognition, as well as providing a voice alarm to the driver. The speed will be automatically adjusted based on the signboard.

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 Keywords

Traffic Sign Board Detection, Voice Alert System, Driver, Pedestrians, Road Accidents.

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BACKGROUND- The usage of LASER in the field of dentistry began early in the year 1960. Hard tissue lasers used in the enamel and dentin surfaces have been studied briefly explaining the intensity, and glazing of the surfaces which began replacing the conventional drills used for cavity cutting procedures. Likewise SOFT TISSUE LASERS began replacing the conventional suturing techniques citing reduction in the bleeding, reduction in pain and overall patient comfort. AIM- The study was aimed in assessing the knowledge, attitude, perception and practice of SOFT TIISUE LASER by Orthodontist among Dental Practitioners. METHODS- a cross sectional study was carried among 95 dental professionals including Orthodontists, Periodontists and General Dentist. A self addressed questionnaire was circulated among the participants and their responses were processesed further and analyzed. RESULT & CONCLUSION- Survey results infer that (3.7% of participants were aware of the SOFT TISSUE LASERS use in procedures in Orthodontics, 53.7% of participants know that SOFT TISSUE LASERS are used as adjunct in retention protocol .

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 Keywords

Dental Practitioners, Orthodontist, Survey, Soft tissue laser

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 Abstract

Since the industrial revolution the main sources of energy has been oil, natural gas, nuclear energy, wood and coal. However, all these sources are limited and are the main cause of pollution and this has led to development and more focus on sustainable energy supply with minimum pollution effects. Hence research and analysis has shown that wind energy, solar energy and biomass are the most prominent solutions to the above problems because they are eco-friendly and readily available in nature. Wind energy can be generated using windmills that provide mechanical energy that is used directly on machinery e.g., water pumps, grinders or wind turbines that provide electrical energy, but our main objective for this project was to design a windmill for pumping water and therefore our scope will be limited to a windmill for water pumping water. The windmill is designed to provide water for irrigation and the region in question is the Taita/ Taveta region which is a semi-arid region of low height tree coverage. This region also has mean wind speeds of 2.3Meters/Second (m/s) - 2.4m/s and a water table of about 300 meters (m) deep. Based on this data the windmill needs to be of a height of 12 meters with a rotor diameter of 6 meters and a blade area of 2.7m2, and the pump of choice is a piston pump. The windmill which will be able to pump an average 4m3 of water per a day which means our windmill will serve 4 farms approximately every day. This is going by the by the assumption that each small-scale farmer in the Taita/ Taveta county has about 1/4 acres of land set aside for agriculture only and of that half of it is for horticulture and is served by a 1000litre tank at the least. The total cost for construction of the windmill comes to 138,170 Kenya shillings.

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 Keywords

Windmills, Pump and Piston Pump

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Creative Commons Attribution 4.0 and The Open Definition

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"The childhood shows the man as morning shows the day"- John Milton Protein-energy malnutrition (PEM) is a common childhood disorder and is primarily caused by deficiency of energy, protein, and micronutrients. PEM manifests as underweight (low body weight compared with healthy peers), stunting (poor linear growth), wasting (acute weight loss), or edematous malnutrition (kwashiorkor). Case fatality rates among children hospitalized with severe wasting or edema (also known as severe acute malnutrition [SAM]) range from 5% to 30%. All forms of PEM are associated with increased risk of infectious illnesses and cognitive deficit. Children with SAM and associated acute illnesses should be treated in a hospital setting using World Health Organization (WHO) guidelines. Management of most forms of PEM can be done in the community setting by improving household food security, promoting appropriate complementary food, providing micronutrients, providing anti-helminthic treatment, and preventing (e.g., by vaccines) and treating infectious illnesses.

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PROTEIN ENERGY MALNUTRITION - THE NATURE AND EXTENT OF THE PROBLEM

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 Abstract

he goal of this project prototype is to develop a reinforcement learning system that can successfully land an orbital rocket by observing and understanding its environment. In this project, an AI agent learns how to independently land a rocket and then selects the most efficient actions to achieve this objective.

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Rocket Landing

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 Abstract

The analysis of a patient's blood sample is a significant responsibility in the medical industry. Blood cell abnormalities create a variety of health issues. White blood cells are one of the most important components of blood. White blood cells are immune cells that fight infections caused by bacteria and viruses in the body. White blood cells can be classified to assist us in identifying various illnesses. Due to a variety of medical conditions, normal white blood cells might change in size, shape, and texture. The objective of this research is to enhance the number of detectable aberrant white blood cells via image processing. For categorization, this study employed various machine learning methods such as Random Forest, XgBoost, and Decision Tree. As a consequence, the algorithm recognised and classified four images of white blood cells. These photos were derived by the system from prior hospital patients. Furthermore, the slides are photographed. The image was then placed into the programme. The system processed and classified the image. In effect, the results indicate the identity of the aberrant white blood cells discovered in the system's image, as well as a soft copy of the checklist.

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 Keywords

White Blood Cells, Image Processing, Xgboost, Random Forest, Decision Trees

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 Abstract

This is an industry 4.0 standards-based project implemented to solve current inefficiencies of industries dependent on forms and paper-based system to maintain records by automating it using MERN. Currently, handling dashboard maintenance of website and daily operations, product planning, statistics of machines and machine part verification process by different employees is done on paper. Analysis of machine statistics is done by senior management at the end of week in excel sheets or on paper manually. This is a time-consuming process, resulting in decreased efficiency of labour. To make this process more efficient, a progressive web portal which will automate these processes needs to be deployed. The hardware team is responsible for the PLCs and the data sent by the machine to the database which can later be processed and reviewed on the website which is developed by the software team who take care of the development of the user interface ( front end) , the backend of the server where all the processes are taking place and last but not the least the cloud where the website would be hosted and all the data would be safely stored hence making the user experience much more effortless, virtual and cost efficient

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 Keywords

Industry 4.0, Industry 3.0, Mern Stack, Javascript

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Machine learning has moved from the lab to the forefront of operational systems during the past several years. Machine learning is used daily by Amazon, Google, and Facebook to enhance user experiences, recommend products, or help people connect socially through new applications and enable personal connections. The potent capability of machine learning is also present for cyber security. Machine learning will be used by cyber security to enhance malware detection, priorities events, identify breaches, and notify enterprises of security risks. Advanced threats and targeting, including organization profiling, infrastructure vulnerabilities, and potentially interconnected security breaches and exploits, can be detected using machine learning. The landscape of cyber security may be drastically altered by machine learning. As many as 3.75 million new samples can be represented by malware alone every hour. Conventional methods of malware analysis and detection are unable to keep up with evolving threats. Cyber-attacks are being delivered at frightening rates thanks to new attacks and clever malware that may avoid network and end-point detection. To combat the expanding malware problem, new methods like machine learning must be used. This study explains how cyber defense analysts may utilize machine learning to find and highlight sophisticated malware. The findings of our preliminary study are presented, and future research to advance machine learning is discussed.

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 Keywords

Data mining, dynamic analysis, malware detection, recurrent neural network, convolutional neural network

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 Abstract

Vector borne diseases (VBD) are the major issues and a cause of concern in Greater Hyderabad. . In case of vector borne disease like Chikungunya, a declining trend is registered in the number of cases in Greater Hyderabad during the last decade. Even though Malaria case load has shown a declining trend, still it is more rampant in the recent times also. The most threatening among the vector borne disease in Greater Hyderabad is dengue fever. In the last decade or so, Hyderabad is facing the problem of vector borne diseases such as Dengue, Malaria and Chikungunya. Among the vector borne diseases, spread of Dengue is at alarming levels. In these diseases, mosquitoes will act as vector, transmitting the diseases causing pathogen. Keeping in view the prevalence of Dengue disease, an in-depth analysis of its prevalence is taken in this study.

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 Keywords

Prevalence , Rampant, vector borne

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Creative Commons Attribution 4.0 and The Open Definition