The mining of construction grade sand, which is used as fine aggregates in concrete, is the most disastrous activity that threatens the very existence of the river ecosystems. The aim of this research is to partially replace fine aggregates in concrete by various agricultural wastes. In this study, corncob ash, groundnut shell and sugarcane bagasse ash are used as the replacing fillers. These agro wastes are utilized as 0%, 5%, 10%, 15% and 20% as fine aggregates in concrete. Different properties of fresh concrete are investigated for these agro-waste fillers and various tests such as slump, shrinkage and density are carried out. In the hardened state of agro – waste concrete, various tests such as compressive strength, flexural strength, ultrasonic pulse velocity tests were determined at the age of 7 days, 28 days, 56 days and 90 days. With increasing percentage of replacement of rice husk ash, groundnut shell and sugarcane bagasse ash with fine aggregate, the slump value decreased while slump value increased with increase in corncob ash as a replacement material. Till optimal replacement of 20% of fine aggregate with sugarcane bagasse, the minimum compressive strength was achieved while maximum compressive strength was achieved for 5% replacement of groundnut shell with fine aggregate. Corncob ash as a replacement of 10% with fine aggregate showed maximum strength and ultrasonic pulse velocity showed decreased strength with increase in corncob content in concrete. Thus the utilization of agro – wastes proves to be very sustainable and eco – friendly in construction.

Today a variety of health care practices have been evolved to maintain and restore health by the latest prevention and best treatment. This implements biomedical sciences, biomedical research, genetics and medical technology to diagnose, treat, and prevent injury and disease, typically through pharmaceuticals or surgery, therapies as divers as psychotherapy, external splints and traction, medical devices, biologics, and ionizing radiation. With advances in technology, the health sciences are constantly pushing toward more effective treatments and cures. With a massive in?ux of multimodality data, the role of data analytics in health informatics has grown rapidly in the last decade. This has also provoked increasing interests in the generation of analytical, data driven models based on machine learning in health informatics. Deep learning, a technique with its foundation in arti?cial neural networks, is emerging in recent years as a powerful tool for machine learning, promising to reform the future of arti?cial intelligence. Rapid improvements in computational power, fast data storage, and parallelization have also contributed to the rapid uptake of the technology in addition to its predictive power and ability to generate automatically optimized high-level features and semantic interpretation from the input data. This paper presents a comprehensive review of research employing deep learning in health informatics, providing a critical analysis of the relative merit, and potential pitfalls of the technique as well as its future outlook. The paper mainly focuses on key applications of deep learning in the ?elds of translational bioinformatics, medical imaging, pervasive sensing, medical informatics, and public health. Finally the limitations and challenges of deep learning in the field of health informatics have been discussed.

Nowadays, everyone prefer thermal screening test to protect against corona, whenever you go inside the mall, multiplex, supermarkets, railway stations, airports, and various other places before granting access to the visitors. You need a human for that thermal screening test at the entrance, then this automatic door will not require that person, it will automatically go to thermal screening whenever, In this every human will have to bring his/her hand forward and put it in front of the sensor, then there will be display a temperature on the screen, then it will show the temperature under controlled or not. The MLX90614 is a high- performance Infrared Temperature Sensor that can be used to automatically make a temperature check-up and decide whether to grant the door access. The body temperature is under controlled when the door will open automatically it shows green light and the door will not open when the body temperature is out of range it shows red light.

Health issues are very common nowadays due to our lifestyle. In some of the conditions we can’t even help ourselves in that situation like a panic attack or something. In that situation if we need help we need a more easier way to find help, this device does the same for us. In this paper we will discuss all about the device, how it works, what are the uses of it etc.

The project aims at the utilization of waste rubber or plastics in road construction as these substances are very hazardous for health and deteriorate the environmental conditions at large scale. It was estimated that there was a rise of 2.85 million tones rise in diseases on human health due to these waste products. The project aims to study the performance of different materials which may help in utilizing the waste to improve the quality of roads and make them stable , durable and long lasting. In this study, the bitumen is partially replaced with PMB & CRMB and their performance evaluation were carried out and the results were compared. It was shown that the utilization of CRMB & PMB proved to be more efficient and stable.

Nowadays with the advancement of technology, the demand for electrical power is increasing at an exponential rate. Many consumer appliances demand consistent quality power for their operation. The performance of the end-user equipment depends heavily on the quality of power supplied to it. But the quality of power delivered to the end-user is affected by various external and internal factors such as voltage and frequency variations, faults, outages, etc. These power quality problems reduce the lifespan and efficiency of the equipment. Thus, these problems should be minimized to enhance the performance of the consumer equipment and also to enhance the overall performance of the system. The main effect caused by these problems is the production of harmonics. This results in the overheating of the equipment, insulation failure and over speeding of induction motors, etc. The solution for eliminating these problems is to filter the harmonics from the system. For this purpose, there are many filter topologies present within the paper. A hybrid filter has been studied in this paper which is a combination of series active filter and shunt passive filter. This paper presents the control strategy to regulate the filter in such a way that the harmonics are reduced. The proposed control strategy is simulated in MATLAB SIMULINK and therefore the results are presented.

The present uses of natural fibers as a partial replacement for the synthetic fibers and there by utilizing eco-friendly materials in various automotive applications namely bumpers, wind shields, doors, ceilings etc. Although there are many research findings related to natural fiber composites. These fibers are also having high strength to weight ratio as well as high stiffness to weigh ratio, etc. With increasing environmental concerns natural fibers are once again being considered as reinforcements for polymer composites. Due to the environmental awareness and economical considerations, natural fiber reinforced polymer composites seems to present a viable alternative to synthetic fiber reinforced polymer composites such as glass fibers. In this present work cocciniagrandis fiber composites with polyester resin are fabricated by using compression molding process. The mechanical properties like tensile, hardness, density, surface roughness and wear test are carried out as per ASTM standards for the developed composites. The test result shows that cocciniagrandis composite alkaline treated fiber plate in tensile test in higher value and had shore D hardness of 87.5 which are superior to all the other developed composites. The average density of this polymer composite is 1.0172 g/cc.   

This review article summarizes the research work done on the use of natural compounds as non-toxic green corrosion inhibitors.Corrosion control of metals is very  important. Natural extract have been widely used to protect the metal from corrosion. The use of inhibitors is one of the best options of protecting metals and alloys against corrosion. Plant extracts are environmentally friendly, inexpensive, readily available and also renewable. Development of green chemistry and green chemical technologies offers novel synthetic methods for ionic liquids, which are considered as new corrosion green inhibitors.

Aluminium Silicon Carbide (AlSiC) composite materials are used in the electronics industries and other manufacturing companies hence, manufacturing of AlSiC composite materials with the right properties for different applications are vital to most industries. The challenge of testing the same specimens for different properties remains, because most of the tests carried out are destructive. Hence, the use of ANSYS finite element simulation software for the design and analysis of a flat bar specimen. Loads between 3 kN to 21 kN were applied on the specimen since it is within the operating limit of a Universal Tensile Testing Machine (UTTM), while both ends are fixed. The AlSiC composite materials used in this study have a composition of 63 vol% Al (356.2) and 37 vol% SiC and, the results showed that stress was directly proportional to strain. While the calculated Young’s modulus from the stress versus strain plot was approximately 167 GPa for the different tensile loads applied. In addition, the total deformation of the AlSiC composite material increased as the load was increased. Also, the highest deformation of the material was observed around the centre of the test specimen. This is synonymous with the failure observed in practical testing of specimens.

This paper gives the basic concept of the wireless sensor networks and reviews the various categories and the types of the routing protocols which are available in the wireless sensor networks.