Volume 9 | Issue 12 |

 Abstract

Presented herein are in the studies of infection of corona virus disease. This model taken in account of special characteristic to awareness about infection of corona virus disease. The symptomology of these patients, including fever, malaise ,dry cough ,and blackspot. It has been observed that total infected parson depends on social distance and gathering. When gathering increases the total number of infected parson incases rapider. It also has been observed that the chain of infected person depends on social distance and lockdown. It is clear that the death rate depends upend high infected person, social distance and lockdown . When high infected person increases then death rate increases.

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Corona virus, Infection , Lockdown, Social Distance.

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AI Enabled Internet of Medical Things (AIEIOMT) are playing a very crucial character in medical industry to increase exactness, productivity, and reliability of the electronics instruments. Recent advances and development in conceptual and design science , Technology and connectivity have led to the emergence of Artificial Intelligence and Internet of Things ( IoT) applications in many industries and with an emerging field with great development outlet potential in future years . Nowadays scientists are focusing to establish a digital-physical healthcare system by the interconnections of available medical resources, various healthcare services and digitally smart devices . This paper studies the impart of Technologies such as IoT and AI in healthcare. This analysis further reveals that the application of these technologies in disease diagnosis, forecasting, detection, and treatment, wearables and connectivity, patient care , sensor networks, identified gaps and future research directions related to technical design, acceptance, regulations for data security and privacy and systems efficacy and safety .The relevant impact factors in the blueprint and development of magnified healthcare systems are the related Research fields Artificial intelligence ( AI) , Big Data ( BD), and Internet of Things ( IoT). In the paper the concentration is focused on AI in IoT and healthcare system, which includes utilization and execution of AI methodologies many disciplines of healthcare. This paper work exhibits the principal areas of AI methodology in disease detection, prediction, medicine, robotic surgery, and personalized treatment. Furthermore AIEIOMT addresses numerous heath conditions like diabetes, activated parameters of biophysical supervisions along with subsistence system in decision making. As IoT has various converging domain but our focusing domain is the contribution of IOT in healthcare fields. The Internet of Medical Things has convergence with several domains but our research contribution correlated to AI and IoT in healthcare, previous contribution, ultra-modern contributions in Covid19 Epidemic, Opportunities, applications and subsequent challenges in terms of medical services in healthcare industry. AI Enabled Internet of Medical Things depute the medically interconnected communication devices and their integration in health network towards patient's health improvement. Even so, due to critical behavior of health-related systems, AIEIOMT still facing various challenges specially in terms of security, safety and reliability. In this literature we represent the comprehensive scientific research, new contributions in order to improve AIEIOMT by the usage of traditional methodologies furnished by cyber-physical systems. We outline remarkable experimental and realistic applications of standardization of medical devices for patient itself, guardians of patient, doctors, nurses and healthy people too. We also try to recognize Unexposed research oriented direction and trending potentials to solve uncharted research complications.

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 Keywords

Artificial Intelligence ( AI), Internet of Things ( IoT), Medical System, Healthcare, Opportunities , Challenges

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Open Ground Storey or soft Storey are the framed buildings where the ground Storey is kept open without infill walls, mainly to facilitate parking, which is increasing commonly worldwide. However, threat of this type of buildings has been exposed a lot in past earthquakes. OGS buildings are normally designed by a bare frame analysis that ignore the stiffness of the infill walls present in the upper storey, but doing so underestimates the inter-storey drift (ISD) and thereby the force demand in the ground storey columns located. Therefore, a multiplication factor (MF) is introduced in various national and international codes to estimate the design forces (BM and SF forces) in the ground Storey columns. This study focuses on the seismic performance of typical OGS or also called as soft storey buildings designed by means of MFs. As soft storey buildings are not safe, to ensure safety against seismic forces of multi-storied buildings, there is need to study the seismic analysis to design earthquake resistance structures. In seismic analysis the response reduction was considered for two cases i.e. for Ordinary moment resisting frame and Special moment resisting frame. The main objective of this paper is to study the seismic analysis of medium rise structure for static and dynamic analysis in ordinary moment resisting frame (OMRF) and special moment resisting frame (SMRF). We considered a residential building of G+7 storey for the seismic analysis and is located in seismic zone III. The total structure was analyzed by computer with using STAAD.PRO V8i software. We observed the response reduction of ordinary moment resisting frame and special moment resisting frame values with deflection diagrams in seismic analysis. The special moment of resisting frame structure is good in resisting the seismic loads.

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Soft Storey, Open Ground Storey, Multiplication Factor, Ordinary Moment resisting frame, Special moment resisting frame, Staad Pro V8i

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Mountain,Kurunji, Hunter, Hillman, Paleolithic

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Breast cancer is a malignant, uncontrolled growth of epithelial cells lining the ducts or lobules of breast tissue arising through a series of molecular mutations at the cellular level. It is the most commonly occurring cancer and the leading cause of cancer death in females worldwide. In 2008 alone, 1.38 million new cases of breast cancer were diagnosed and 458,400 women died of breast cancer. The causes of most breast cancer cases remain to be unknown. However, recent years have shown numerous advances in the identification of various risk factors including gender, environment, hormones, genetic factors, and lifestyle. The incidence of breast cancer among women may increase with advancing age, late age at first birth (>= 30), the use of postmenopausal hormone replacement therapy, prior family history, higher dietary fat intake, obesity, and alcohol intake (Michaud et al., 2008). Curcumin is the principal active component of Indian curry spice turmeric and has been found to exert preventive and therapeutic effects in various cancers. Apart from this cruciferous vegetable compound isothiocyanates shown therapeutic effects. This is, in part, due to its ability to influence a diverse range of molecular targets and signaling pathways the effect of the dimethoxycurcumin and benzyl isothiocyanates will be tested on MCF-7 and MDA MB231 cell lines.

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benzyl isothiocyanate, dimethoxy curcumin , MDA-MB-231

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The impact of thinness and doping concentration in CIGS- pedestal Solar-cells on the cell parameters of photovoltaic cells with ZnO and CdS studied using a SCAPS. The layer-by-layer optimization was completed. Our findings found the optimal configuration requires a ZnO as well CdS as a buffer layer and CIGS as an absorber with different thicknesses and doped with a thickness of x = 0.025, 0.05, 0.075 and 4 ?m and doped with concentration of 1016 cm-3 for all same for compositions. Solar-cells with these kinds have a performance of 24.89 % that is potentially higher than previously stated in the CIGS Solar-cell research.

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CIGS Solar-cell, Thickness Optimization, SCAPAS

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The present research work deals with the control of grid frequency by controlling the operation of doubly fed induction generator and also control regulation of active power of demand and supplied by grid with help of doubly fed induction generator. The evolution of technology related to wind systems industry leaded to the development of a generation of variable speed wind turbines that present many advantages compared to the fixed speed wind turbines. These wind energy conversion systems are connected to the grid through Voltage Source Converters (VSC) to make variable speed operation possible. The studied system here is a variable speed wind generation system based on Doubly Fed Induction Generator (DFIG). The rotor side converter (RSC) usually provides active and reactive power control of the machine while the grid-side converter (GSC) keeps the voltage of the DC-link constant. The additional freedom of reactive power generation by the GSC is usually not used due to the fact that it is more preferable to do so using the RSC. This paper deals with the introduction of Doubly fed induction generator, AC/DC/AC converter control and finally the SIMULINK/MATLAB simulation for isolated Induction generator as well as for grid connected Doubly Fed Induction Generator and corresponding results and wave forms are displayed.

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DFIG, Rotor Side Converter, Grid Side Converter, Converter Control Diagram, Simulink Diagram, Wind Turbine Modeling, Wind Energy.

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Creative Commons Attribution 4.0 and The Open Definition

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de-historicization, Arab women writers, 1980's Egypt, women's education, economic policy, madness

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Creative Commons Attribution 4.0 and The Open Definition

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The present study covers the various aspects of biodiesels fuel derived from Karanja seed oil and also the study of performance and emissions on four stroke compression ignition engine. Crude Karanja seed oil is converted to Karanja seed oil methyl esters by transesterification process. The obtained biodiesel properties are measured experimentally and analyzed with diesel. The performance and emission parameters of biodiesel blends were compared with the diesel and from the result analysis the optimum Karanja seed oil blend is found. After finding optimum blend, the tests were conducted on the same engine with addition of DMC (Dimethyl carbonate) as a fuel additive at 5%, 10% and 15% on volume basis and evaluate its effects on diesel engine characteristics. The main purpose of fuel additives is to improve the combustion process and reductions of exhaust emissions. Finally, the experimental outcomes are analyzed with the diesel. The blend KSOME15 with DMC10% is shows better performance and lower emissions. Finally, results show the improvement in engine performance and reduction of emission parameters needs to justify the potentiality of the Karanja seed oil methyl ester as alternative fuel for diesel engine without any modification.

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Karanja oil, Biofuel, Alternative fuels, Performance of biofuels

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