MACHINE LEARNING – OVERVIEW

Given the uncommon accessibility of information and registering assets, there is broad recharged revenue in applying information driven AI strategies to issues for which the advancement of traditional designing arrangements is tested by displaying or algorithmic inadequacies. This instructional exercise style paper begins by tending to the inquiries of why and when such strategies can be helpful. It at that point gives an elevated level prologue to the nuts and bolts of administered and solo learning. For both directed and unaided picking up, epitomizing applications to correspondence networks are talked about by recognizing undertakings completed at the edge and at the cloud fragments of the organization at various layers of the convention stack, with an accentuation on the actual layer. List Terms Machine learning, directed learning, unaided learning, correspondence organizations, remote interchanges

ALGORTHMIC APPROACHES IN DATA MINING

Data mining may be a process which finds useful patterns from great deal of knowledge . The paper discusses few of the info mining techniques, algorithms and a few of the organizations which have adapted data processing technology to enhance their businesses and found excellent results. Research on data processing has successfully provided the use of various tools, methods, methods and approaches for various purposes and problem solving.data processing has become an integral a part of many application domains like data ware housing, predictive analytics, business intelligence, bio-informatics and decision support systems. Prime objective of knowledge mining is to effectively handle large scale data, extract actionable patterns, and gain insightful knowledge. data processing is a component and parcel of data discovery in databases (KDD) process. Success and improved deciding normally depends on how quickly one can discover insights from data. These insights may not be able to execute optimal actions, they may be used in operational processes and may even predict future behavior.This paper presents an summary of varied algorithms necessary for handling large data sets. These algorithms define the various structures and methods implemented to handle large data.The review also discusses the overall strengths and limitations of those algorithms. This paper can quickly guide or be an eye fixed opener to the info mining researchers on which algorithm(s) to pick and apply in solving the issues they're going to be investigating

DESIGN AND FABRICATION OF VERTICAL AXIS WIND MILL POWER GENERATION

approaches are needed to reduce growth in blade mass with blade length. With design focus onturbine mass and cost for given performance, need arises for passive and active techniques to control theflow and the loads on the blades/turbine. To maximize the overall system benefits of these techniques,load control should be included from the onset. This research uses a optimization technique using themicro-tabs and different materials like Steel , aluminum , GFRP composites is used to reduce suchweight. The well-defined model of wind blade is created and this will undergo for the analysis by ansyssoftware, and the results will compare with that of basic materials like steel and existing design. Also toreduce the weight optimization via making ribsalso is used to modify the flow characteristics and cangive the controlled flow of wind which in fact to increases the aerodynamic efficiency by means ofcomposite materials. The thin airfoil blade is designed and performed with Ansys for the differentmaterials. With prototype fabrication of the wind blade was carried out. Due to this smart material likeglass fibre reinforced plastic with aluminum the rotor torque will increased. With this effect the overallwind mill performance will increase

Implementation of Improved Method on Embedded Surveillance System with Reduced Power Usage

In this project design and implement a home embedded surveillance system with ultra-low alert power. Traditional surveillance systems suffer from an unnecessary waste of power and the shortcomings of memory conditions in the absence of invasion. In this design we pressure sensors as the alert group in windows and doors where an intruder must pass through. These low-power alert sensors wake up the MCU (Micro Controller Unit) which has power management for the ultrasonic sensors and PIR sensors indoors. This state transition method saves a large number of sensors required for the alert power. We also use the Majority Voting Mechanism (MVM) to manage the sensor groups to enhance the probability of multiple sensors sensing. After the MCU sends the sensor signals to the embedded system, the program starts the Web camera. Our sensing experiment shows that we reduce the system’s power consumption Keywords: Embedded Surveillance System, PIR Sensor, Ultrasonic Sensor, Low-PowerStat

COMPUTATIONAL SCREENING AND MOLECULAR DOCKING OF LICHEN SECONDARY METABOLITES AGAINST SEVERE ACUTE RESPIRATORY SYNDROME-COV-2 MAIN PROTEASE AND SPIKE PROTEIN

Objective: At present, the coronavirus disease (COVID)-19 pandemic is increasing global health concerns. This coronavirus outbreak is caused by severe acute respiratory syndrome coronavirus (SARS-CoV)-2. Since, no specific antiviral for treatment against COVID-19, so identification of new therapeutics is an urgent need. The objective of this study is to the analysis of lichen compounds against main protease and spike protein targets of SARS-CoV-2 using in silico approach. Methods: A total of 108 lichen compounds were subjected to ADMET analysis and 14 compounds were selected based on the ADMET properties and Lipinski’s rule of five. Molecular docking was performed for screening of selected individual lichen metabolites against the main protease and spike proteins of SARS-CoV-2 by Schrodinger Glide module software. Results: Among the lead compounds, fallacinol showed the highest binding energy value of −11.83 kcal/mol against spike protein, 4-O-Demethylbarbatic acid exhibited the highest dock score of −11.67 kcal/mol against main protease. Conclusion: This study finding suggests that lichen substances may be potential inhibitors of SARS-CoV-2

Quinoxaline: Z′ = 1 form

A new Z′ = 1 crystal structure of quinoxaline (or 1,4-diaza­naphthalene), C8H6N2, with one-fifth the volume of the earlier known Z′ = 5 structure was obtained by means of an in situ cryocrystallization technique

Potential of Vibration Studies in the Soil Characterization Around Power Plants – A Case Study

Propagation characteristics of waves generated by the various sources of vibration can be dependent on the type of the generated waves, which can be accessed by measuring particle motion in vertical, longitudinal and transverse direction. The monitoring of motion in three directions on the ground surface and in depth is important for the characterization of propagating waves. Vibrations of the machine foundations induce elastic waves in soil, which may affect surrounding buildings. Generally, the attenuation of vibrations on surface is composed of two factors namely geometric damping and material damping. The paper is an experimental investigation with regard to the ground vibrations and its attenuation during the operation of power plants. The study helps in characterizing the soil around a power plant. The investigation was carried out on two power plants, which runs at the same frequency, and soil characterization was done based on the study. Measurements were taken on the level ground for the harmonic waves generated from the diesel power plant. Study is found to be helpful in characterizing the soil based on the frequency independent material damping coefficients, low amplitude shear modulus etc. on the plant premises. The effect of these vibrations on adjoining areas can be well predicted based on the soil medium

1-Meth­oxy-4-({[(4-meth­oxy­phen­yl)­sulfan­yl](phen­yl)meth­yl}sulfan­yl)benzene

The title compound, C21H20O2S2, forms a propeller-shaped structure with the tetra­hedral C atom as the central hub and meth­oxy­benzene and phenyl residues as radiating blades. Short C—H⋯π contacts are observed

Ocular Manifestations of Systemic Lupus Erythematosus and Systemic Lupus Erythematosus with Antiphospholipid Syndrome.

INTRODUCTION : Systemic Lupus Erythematosus (SLE) is a chronic, relapsing and remitting, autoimmune disorder. The clinical presentations are diverse and depend on the organ systems involved. Potentially life-threatening complications may occur. A pathologic immune response involving the production of autoantibodies and immune complex mediated tissue damage is thought to play a central role in the disease process . Genetic, environmental, and possibly hormonal influences may also be contributing factors. Women with SLE outnumber men by 9 : 1 and the peak age of onset ranges from the late teens to the fourth decade of life. Individuals of African or Asian descent appear to be at greatest risk for developing the condition. Systemic treatment options generally include antimalarial drugs, corticosteroids, and other immunosuppressive agents. A variety of newer targeted treatment modalities are under development. AIMS AND OBJECTIVES : The aim of the work was to assess ; 1. the frequency of eye changes among patients with SLE, 2. the association between anti-phospholipid antibodies and ocular lesions, 3. the correlation of the ocular manifestations with disease activity, 4. the relationship between the presence of circulating autoantibodies and eye changes. MATERIALS AND METHODS : Study Design: Prospective study. Study Centre: Department of Rheumatology, Madras Medical College& Government General Hospital, Chennai -3. Study Period: March - 2009 to March – 2010. Study Population: Consecutive cases of lupus patients who are attending the Department of Rheumatology, GGH Chennai. Study Sample: 110 patients. Inclusion Criteria: 1. Patients who satisfied the 1997 Revised Criteria for the Classification of Systemic Lupus Erythematosus (SLE), 2. AGE: All age group, 3. SEX: Both genders. Exclusion Criteria: 1. Patients who do not satisfy the 1997 Revised Criteria for the Classification of Systemic Lupus Erythematosus (SLE), 2. Patients with overlap syndrome. RESULTS : The present study consisted of 110 SLE patients. There were 11 males and 99 females in the study group [Fig. 1]. The age of the patients varied from 9 years to 65 years [Fig. 2]. The mean age of the patients was 25.9±9.2 years. The mean duration of disease was 29±30.8 months with disease onset in the second or third decade being the commonest. 12[10.9%] patients had childhood onset of the disease [Fig. 3] with mean age being 13±2.13 years. The mean disease duration in childhood onset was 12.25±7.84 months. Chi squared equals 1.893 with 1 degree of freedom. The two-tailed P value equals 0.1689. This implies that the ophthalmic involvement is independent of disease duration in SLE patients. CONCLUSION : 1. There was a female predominance in the patients with ocular involvement due to Systemic Lupus Erythematosus. 2. Ocular manifestations were seen in 36.4% of our study patients. 3. Ocular complaints were given by 20.9% of patients. 4. Keratoconjunctivitis sicca or dry eyes was the most common finding affecting 11.8% of patients. Retinal vasculitis was seen in 4.5% of our patients. Posterior sub capsular cataract due to steroid use was seen in 3.6% of our patients. Chloroquine maculopathy was seen in 1.8% of our patients. 5. Neuro-ophthalmic manifestations were less common involving 1.8% of our patients. 6. Ocular infections involving 5.5% of our patients, were less common and are not life or vision threatening. 7. There exists no relationship between ophthalmic status of SLE patients, age of the patient and disease duration . 8. The frequency of anticardiolipin antibodies was 23.6% and LAC study was 11.8% in our patients. Their presence is positively correlated with ocular involvement. 9. Ocular involvement is positively associated with recurrent abortions, thrombocytopenia, Anti-dsDNA positivity, aCL positivity, low complement levels and high SLEDAI score. 10. Sight-threatening complications of SLE include optic neuropathy and retinal vascular disease