Volume 8 | Issue 9 |

 Abstract

During the COVID-19 pandemic , aerosol generating medical procedures(AGMP) present risks to health care workers due to airborne transmission of severe acute respiratory syndrome corona virus 2( SARS-CoV-2).Delaying head and neck oncological surgeries and facial trauma is done with extreme caution .A literature suggests that use of high speed rotating devices during this procedures is potentially AGMP. The aim of this device is to minimize the spread of generated aerosol during the use of rotating instrument like drills and protection of health care worker during COVID-19 pandemic.

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 Keywords

COVID-19 pandemic;Containment Device; Aerosol generation; Head and neck Surgery

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 Abstract

Conventional concrete [ordinary & standard] has basic ingredients: Cement, Aggregate [Coarse and Fine grained] as non-renewable category and Water-as renewable category. The ingredients of non-renewable category have depletion trend and adverse impact on sustainable environment at fast rate along-with huge cost factor. The water though belongs to renewable category, but in limited nature of good quality. The major civil engineering structures, constructed through concrete presently are associated with certain defects like: deformation, crack formation, seepage & leakage, non-durable and less stable within the designed time period. The eco-friendly, economically viable of improved strength and reduced cost based, Waste Materials are available in prevailing Indian socio-environmental set-up as well as in Agricultural & Industrial sectors. Seventeen such waste materials [six of renewable category and eleven of non-renewable category] have been investigated, whose properties are equivalent to ingredients of conventional concrete as Cement, Coarse Aggregate [stone chips] and Fine Aggregate [sand]. The geo-technical characterization of such relevant waste materials have been studied under their physical and strength parameters [index and engineering properities] namely: density, specific gravity, water absorption [%], fineness of modulus, workability, w/c ratio, CBR, compressive strength, split tensile strength, flexural strength, along-with application as improved quality of conventional concrete. The proper utilization of these waste materials under �recycle� is the future of Indian concrete, along-with national mission of Clean Environment & Green Environment.

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 Keywords

Clean Environment & Green Environment,CHARACTERIZATION OF SEVENTEEN WASTE MATERIALS

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 Abstract

In high rise building or multi storey building, soft storey construction is a typical and unavoidable feature because of urbanization and the space occupancy considerations. These provisions reduce the stiffness of the lateral load resisting system and a progressive collapse becomes unavoidable in a severe earthquake for such buildings due to soft storey. This storey level is unable to provide adequate resistance, hence damage and collapse.In the current study the focus is to investigate the effect of a soft storey for multi-storeyed high rise building with different models having identical building plan. Soft storey level is altered at different floors in different models & equivalent static analysis is carried out using ETABs software. This study has been undertaken to study of different location on the seismic behavior of multi-story building, linear dynamic analysis (Response spectrum analysis) in ETABs software is carried out. Different seismic parameters like time period, story shear, and story displacement are checked out.

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 Keywords

Soft Story,ETABS, High rise building

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 Abstract

Plastics are non-biodegradable substances and toxic in nature which creates health hazard. Also result in pollution and global warming. So, plastic waste should be reused to reduce the imminence to the environment. As we know that India is located latitudinally in the northern hemisphere and longitudinally in eastern hemisphere that�s why sunlight reaches here for maximum duration which causes softening of bitumen, to reduce this effect we can use plastic waste with bitumen in road construction to increase its softening point and reduce chances of bleeding. By using shredded plastic with bitumen, can enhance the durability and strength of road. Ordinary mix don�t provide such strength and durability to road. It can also reduce road fatigue. This ingenious technology is economical as well as eco-friendly.

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 Keywords

Plastic Waste, Aggregates, Strength, Bitumen, Road Construction.

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 Abstract

Abstract- The environment defined as that whole outer physical and biological system in which man and other organisms live as a whole, albeit a complicated one with many interacting components. The wise management of that environment depends upon an understanding of those components of its rock, minerals and waters of its present and potential vegetation, of its animal life and potential for livestock husbandry and its climate. A nation�s growth starts from its educational institutions where the ecology is thought as a prime factor of development associated with environment. A clean and healthy environment aids effective learning and provides a conducive learning environment. Educational institutions now a day are becoming more sensitive to environmental factors and more concepts are being introduced to make them eco friendly. Earth Summit Rio 1992, the concept of environmental audit was accepted by many countries. In Indian scenario, very few industries especially educational institutes were inspired. If green audit is enforced in an effective way in the educational institutes then there are many advantages that could be adopted from it. Education aims at drawing out the innate potentialities of every individual. For this purpose, the students undergo the learning process in a systematic order is school, so that there innate qualities are developed. Environment Education is the process of recognizing values and classifying concepts in order to develop skills and attitudes necessary to understand and appreciate the inter relatedness among man, his culture and his biophysical surroundings. Teachers occupy as key position in the educational transformation process by becoming role models to students. Similarly in the Environment Education program, they act as agents for developing proper awareness among students by providing adequate knowledge about environmental issues. The teachers can use the green links of information collected from newspapers or electronic media and relate them to the topic which is being taught. As Environment Education is an interdisciplinary subject, different teachers teaching different subject can relate the concepts taught to the environment. A good teacher can be as friend of the

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Keywords � Environment Management, Green Audit, Awareness, and Human dominated ecosystem, Energy Management, Waste Management.

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Data mining is used to extract useful information from large databases or data warehouses. Data mining algorithms applied in healthcare industry play a significant role in prediction and diagnosis of the diseases. For detecting a disease, the number of tests should be required from the patient. By using the data mining technique, the number of tests can be reduced. Dengue is a threatening disease caused by Girl mosquitos.Dengue is caused by mosquito threatening the world now-a-days. If it is not curated on proper time, it will lead to death. World Health Organization (WHO) reported, dengue is prevalent in more than 81 countries all over the world.

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Dengue, Data mining, Prediction

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In advanced medical diagnosis system, infertility conditions are detected in early stages with high precision. Sperm count in male is one of the major parameter to determine infertility. One of the challenging tasks is to provide clear cut algorithm and instantaneous results. For possible tests on fertility, it is very essential to determine the sperm cell count, volume of the cell, sperm motility, presence of leukocytes and finally the shape of the sperm. Any abnormal condition affects count, shape, movement and volume of the sperm in semen. � Medical conditions like Oligospermia, Aspermia and Hypospermia affect the sperm cell count. Teratospermia indicates the presence of abnormal morphological sperm when observed from microscope. Asthenozoospermia and Necrospermia affect the movement of the sperm. Presence of huge number of leucocytes in seminal fluid affects sperm motility which is termed as leucospermia. Normozoospermia is a terminology given for normal sperm which is normal in appearance and function and it is a normal characteristic exhibited by semen in seminogram. � Finally an embedded system based approach becomes inevitable to detect the anomalous condition and develop an early diagnosis system for infertility and also evolve the conventional microscope on a large-scale

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USB 2.0 camera processor (VC0346), Quadrant 2 MPSOC Sensor, Tablet PC, Microscope

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In this manuscript, for the removal of Rician noises from MR images a fourth order PDE (partial differential equation) based nonlinear filter is proposed. The filter implemented contains two terms firstly, the data fidelity term and secondly, prior function term. By minimizing the negative log likelihood of Rician probability density function (pdf) we get the fidelity term. A prior function is introduced because the solution of the first term has ill-posed nature. This prior function is a nonlinear anisotropic diffusion based filter. To maintain the trade off balance between these two terms a regularization parameter is introduced. In terms of PSNR at various noise levels the comparative study and performance analysis of the suggested model with other standard methods is presented for Brain Web dataset. From the results obtained, it is clear that the method implemented is performing better noise removal as compared to other methods.

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Nonlinear fourth order PDE based filter, 2D MR images, Rician�s probability distribution function, Rician noise reduction.

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 Abstract

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reviews, fraudsters,early reviews.

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Precision agriculture is a farming system based on the combination of detailed observations, measuring and rapid response to optimize energetic input to maximize crop production. Precision Agriculture is one of the modern farming practices that make crop production more efficient. One of the major problems in agricultural domain is earlier detection of plant diseases. Currently, manual plant disease classification and counting are very time consuming with less accuracy. Detection of various diseases of plant is very essential to prevent the damage it can make to plant as well as to the farmers and whole Agriculture ecosystem. Regarding this practical issues, this project aimed to classify and detect plant diseases especially for tomato plant. Deep Convolutional Neural Network (CNN) based architecture is proposed for leaf disease detection and classification. The experimentation is carried out using Unmanned Aerial Vehicle (UAV) images. Plant village dataset, UAV images dataset, real-time images captured through UAV and some images downloaded from the internet are used. This system detects the diseases present in plant with more accuracy.

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 Keywords

Precision agriculture, Deep Learning, Convolutional Neural Network (CNN), UAV images, Plant disease.

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