453 research outputs found
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
3-Ethyl-6-(4-fluorophenyl)-7H-1,2,4-triazolo[3,4-b][1,3,4]thiadiazine
In the title compound, C12H11FN4S, the thiadiazine ring adopts a twist-boat conformation. The dihedral angle between the triazolothiadiazine system and the benzene ring is 10.54 (9)°. The crystal structure is characterized by C—H⋯N hydrogen bonds. The crystal packing also exhibits π–π interactions, with a centroid–centroid distance of 3.6348 (15) Å
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