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206 articles for “ANN”
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Effect of Data Length on Estimation of Probable Maximum Precipitation Using Hershfield Method
Abstract: Probable Maximum Precipitation (PMP) represents the greatest depth of precipitation for a given duration that is physically possible over a given size storm area at a particular geographical location and at a particular time of year. PMP is used for estimating probable maximum flood which, in turn, is used for design of major hydraulic structures such as dams and spillways, flood protection works and nuclear power plants. One of the …
Published in International Journal of Water Resources Engineering · Vol. 7, Issue 2, 2021 · pp. 44–49 Read article
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Extreme Rainfall and Streamflow in Niamey City: Trends and Relationship Between Higher Streamflow and Rainfall
Abstract: Increasing rainfall frequency and intensity, which causes floods, is one effect of climate change. Recent heavy rains have caused regular flooding in several major towns in West Africa. ln order to comprehend the cyclical patterns of flash floods and very high rainfall occurrences in Niamey, Niger, between 1982 and 2021. The National Meteorological Direction, the Regional Centre AGRHYMET, as well as the Niger Civil Protection General Direction, provided the flood …
Published in International Journal of Water Resources Engineering · Vol. 9, Issue 1, 2023 · pp. 21–32 Read article
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DataBase: Food Waste Management
Abstract: Food waste management helps to prevent surplus amount of food wastages in the world. One third of the food produced in the world every year approximately 1.3 billion tones gets lost or wasted. The amount of food lost or wasted every year is equivalent to more than half of the world’s annual cereals crop. There are several steps to control food waste such as shop smart, buy exactly what you …
Published in International Journal of Distributed Computing and Technology · Vol. 3, Issue 1, 2017 · pp. 20–24 Read article
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Deep Learning in Medical Image Classification and Object Detection: A Survey
Abstract: Deep learning methods have demonstrated superior performance in the area of computer vision, speech recognition, natural language processing, healthcare, and many more. Convolutional neural networks (CNNs) are a class of deep learning methods that have the ability to learn from raw data available as images, audio, or text. CNNs have become a powerful tool for variety of pattern recognition tasks due to the availability of abundant data and GPU-based training. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 1–15 Read article
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A Review of Modeling and Data Mining Techniques Applied for Analyzing Steel Bridges
Abstract: The vibration response data measured from the structure contains uncertainties and requires different techniques for its analysis. The present study involves the comprehensive review of the model based and data mining techniques which are frequently applied by various researchers in past to solve various multi criteria decision making and analysis problems. The selection of suitable technique for specific problem is required to obtain accurate outcomes. The literature survey is done …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 1, 2021 · pp. 1–15 Read article
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Robot Kinematics and Neural Networks: A Summary
Abstract: The robot control problem can be divided into two main areas: kinematics control (coordinating the kinematics chain links to generate the robot’s desired motion) and dynamics control (driving the mechanism's actuator to obey the programmed positions and speeds). Further, the kinematics analysis is performed in two ways in robotics, with forward kinematics (FK) and inverse kinematics (IK). FK is defined as the mapping from joint space to Cartesian space (also …
Published in International Journal of Analog Integrated Circuits · Vol. 5, Issue 2, 2019 · pp. 40–45 Read article
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SOFT COMPUTING A NEW USE OF SOFT COMPUTING, ARTIFICIAL INTELLIGENCE, FUZZY LOGIC & GENETIC ALGO-RITHM IN BIOINFORMATICS
Abstract: Abstract:Soft registering is make a few dormant in bioinformatics, particularly by producing minimal effort, low exactness (rough), great arrangements. Bioinformatics is an interdisciplinary research zone that is the edge between the natural and computational sciences. Bioinformatics settlement with calculations, databases and data frameworks, web innovations, man-made reasoning and delicate registering, data and calculation hypothesis, basic science, programming building, information mining, picture preparing, demonstrating and recreation, discrete arithmetic, control and framework …
Published in International Journal of Analog Integrated Circuits · Vol. 6, Issue 1, 2020 · pp. 12–26 Read article
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Study Of Degrading Performance of Solar PV Panels Due To Effect of Dust Accumulation In Jaipur
Abstract: Solar photo voltaic (PV) systems are a promising method of generating electrical power from renewable energy in all over world right now. However, light obstruction on the solar panel due to dust accumulation can significantly influence the performance and efficiency of the system, and thus can affect the cash flow of the system operators. Instead of this problem, only small studies have been conducted on the nature of dust accumulation …
Published in International Journal of Electrical Power System and Technology · Vol. 2, Issue 2, 2016 · pp. 48–58 Read article
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OODA Principles for Finding Unknown Malware
Abstract: This paper is planned to give a model to "OODA Principles for Finding Unknown Malware", it portrays the state's general necessities with respect to the securing and execution of intrusion prevention and detection systems with intelligence (IIPS/IIDS). This is intended to give a more profound comprehension of interruption aversion and recognition standards with knowledge may be in charge of getting, actualizing or checking such frameworks in comprehension the innovation and …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 1, Issue 2, 2015 · pp. 1–12 Read article
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An Approach for prediction of Heart Diseases using Data Mining Techniques
Abstract: ABSTRACT The healthcare enterprise collects big quantities of Healthcare statistics; however, sadly nolonger all of the facts are mined that is required for discovering hidden styles and effectivedecision making. In this paper, we advise efficient genetic algorithm with the againpropagation approach technique for heart disorder prediction. This paper has analyzedprediction systems for coronary heart diseases the use of records mining strategies. Thegadget makes use of scientific phrases inclusive of gender, …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 6, Issue 1, 2020 · pp. 8–21 Read article
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Use of Machine Learning Algorithms in Power System Load Forecasting: A review
Abstract: The electrical load forecasting has become one of the most important fields of research for secured, efficient, accurate, reliable power dispatch and management. The main aim of load demand forecasting is to predict the load demand for accurate generation scheduling, system security and economic dispatch of load at any time. Many Authors have done research on the evaluation of load forecasting methods, to improve the accuracy of prediction. In load …
Published in International Journal of Microwave Engineering and Technology · Vol. 7, Issue 1, 2021 · pp. 23–30 Read article
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NEURAL NETWORK APPROACH FOR PROCESSING SUBSTATION ALARMS
Abstract: This paper studies the method of processing of alarms in an electric substation using artificial neural networks (ANN) as a tool. Whenever there is a fault in the power system, or there is a significant change in the network, alarms are issued to the substation operators, with each alarm being associated with a message. This is the driving force for research and experiments regarding innovations of more sophisticated methods of …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 1, Issue 1, 2015 · pp. 21–28 Read article
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Impact of Substrate Temperature on Chemically Deposited Cds Thin Films
Abstract: The interest for renewable energy sources are increasing day by day due to the limited availability of fossil fuel. Among all the renewable energy sources solar energy is growing interest due to its easy availability almost among all area of earth where people lives. Solar energy can be used as a source of energy by two ways: Solar Photovoltaic Cell and Solar thermal. Photovoltaic cells are the easiest way for …
Published in International Journal of Energetic Materials · Vol. 1, Issue 1, 2015 · pp. 22–26 Read article
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Study of Isotropic Property
Abstract: This article is constitutive from as forged as well compounded form. Isotropy is uniformity in various orientations. Isotropy is composed of Greek isos meant by equal and tropos meant by way. Precise definable consequence is subjective to depend on material property i.e., same when tested in different directions. A common example of isotropy is inclusive as of glass, plastics, and metals. Alter subject area is studied as inequality, given by …
Published in International Journal of Energetic Materials · Vol. 7, Issue 2, 2021 · pp. 1–7 Read article
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Investigation of the Optical-Electrical Properties of Simonkolleite and ZnO: Synergism and Nano/Microcrystals
Abstract: This study aimed to investigate the optical-electrical properties of simonkolleite (SM) and zinc oxide (ZnO), focusing on ZnO's nano/micro size and the synergistic effects between SM and ZnO. The synthesis of SM nanocrystals (NCs) was successfully achieved, and thermal annealing temperature was used to manipulate the formation of SM/ZnO nanocomposites ranging from NCs to microcrystals of ZnO. Structural and morphological properties were characterized using X-ray diffraction (XRD),Fourier transforms infrared (FT-IR), …
Published in International Journal of Energetic Materials · Vol. 8, Issue 2, 2022 · pp. 18–30 Read article
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Corrosion and Corrosion Protection of Carbon Steel
Abstract: Carbon steel is a very important metal for petroleum industries. Petroleum refineries are used bulk amount of carbon steel for purification of crude oil. Some amount of carbon dioxide and sulphur dioxide present in crude oil. Both gases are acidic in nature so they generate hostile medium for metal. These gases convert into carbonic and sulphuric acid and develop electrochemical cell on the surface of metal and aggravate corrosion reaction. …
Published in International Journal of Energetic Materials · Vol. 9, Issue 1, 2023 · pp. 28–35 Read article
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ENHANCEMENT OF MECHANICAL PROPERTIES OF ALLOY 61S BY REINFORCING NANO COMPOSITES
Abstract: During recent decades, a lot of interest had shown in the materials production with nano sized grains. Especially, the aluminum alloys and its composites are widely used for demanding structural applications due to combination of corrosion resistance, formability, weldability and, mechanical properties. The demand for toughness, higher strength and, strength and weight ratio of aluminum alloys for the structural application is ever growing owing to the increasing importance of achieving …
Published in International Journal of Metallurgy and Alloys · Vol. 5, Issue 2, 2019 · pp. 18–36 Read article
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Nanocoating and Electrospray Techniques Use to Mitigation Corrosion Sculptures
Abstract: The most sculptures of the world are created by the brass, bronze, iron, silver, gold and metalloid. They come in contact of corrosive pollutants to produce chemical, electrochemical and biochemical reactions and develop various form of corrosion like uniform corrosion, galvanic corrosion, pitting corrosion, stress corrosion and crevice corrosion. The corrosive gases CO2, NO2 and SO2 concentrations increase in atmosphere rapidly after industrialization. The major contributors of these gases are …
Published in International Journal of Metallurgy and Alloys · Vol. 8, Issue 2, 2022 · pp. 1–11 Read article
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Synthesis & Characterization of Fe3O4 Nanoparticles for Thermal Sensing Application
Abstract: n this work, Synthesis and characterization of magnetite (Fe3O4) nanoparticles by the co-precipitation method has been done. These nanoparticles were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier transform infrared (FTIR), UV-Visible spectroscopy (UV) and Thermogravimetry analysis (TGA/DSC). SEM image show morphology and porosity of material. The nanoparticles show quasi-spherical morphology with mean size around 37 nm. The XRD and FTIR confirmed the functionalization of the Fe3O4 nanoparticles. …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 3, Issue 2, 2017 · pp. 10–19 Read article
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Performance of High Volume Fly Ash Concrete Using Local Power Plant Fly Ash
Abstract: Total production of fly ash in Indian Thermal Power plants is approximately 160 million tons annually. Except some super power plants, the quality of fly ash is said to be inferior in most of the power plants. The suitability of fly ash from local power plants for production of high volume fly ash (HVFA) concrete is not tested so far. The aim of the present investigation is to ascertain whether …
Published in International Journal of Composite and Constituent Materials · Vol. 1, Issue 1, 2015 · pp. 07–13 Read article