This document presents an optimization of laser welding parameters for martensitic stainless steel using a genetic algorithm. The algorithm aims to minimize the difference between the actual and desired weld size (width and depth) by optimizing laser power, welding speed, and fiber diameter. The genetic algorithm was run 10 times with a population of 30 over 200 iterations each time. The results showed errors between optimized and experimental values of less than 5% for the parameters. The study demonstrates that genetic algorithms can effectively optimize laser welding parameters to achieve a preset weld size.
EVALUATE THE STRAIN ENERGY ERROR FOR THE LASER WELD BY THE H-REFINEMENT OF TH...AM Publications
Currently, the finite element method (FEM) is still one of the useful tools in numerical simulation for technical problems. With this method, a continuum model presented by a certain number of elements with a simple approximation field causes the presence of discretization error in solutions. This paper considers the butt weld by laser which subjected the tension for AISI 1018 steel highness 8 mm. The aim of the study is to use the h-refinement of the FEM in estimation the strain energy error for the laser weld mentioned. The results show that the stability of the h-refinement shown by the value of the relative error of the strain energy is quite small, specifically; FEM is less than 5.7% and extra is no more than 3.7%.
Application of Multiple Kernel Support Vector Regression for Weld Bead Geomet...IJECEIAES
Modelling and prediction of weld bead geometry is an important issue in robotic GMAW process. This process is highly non-linear and coupled multivariable system and the relationship between process parameters and weld bead geometry cannot be defined by an explicit mathematical expression. Therefore, application of supervised learning algorithms can be useful for this purpose. Support vector machine is a very successful approach to supervised learning. In this approach, a higher degree of accuracy and generalization capability can be obtained by using the multiple kernel learning framework, which is considered as a great advantage in prediction of weld bead geometry due to the high degree of prediction accuracy required. In this paper, a novel approach for modelling and prediction of the weld bead geometry, based on multiple kernel support vector regression analysis has been proposed, which benefits from a high degree of accuracy and generalization capability. This model can be used for proper selection of welding parameters in order to obtain a desired weld bead geometry in robotic GMAW process.
Application of Exponential Gamma Distribution in Modeling Queuing Dataijtsrd
There are many events in daily life where a queue is formed. Queuing theory is the study of waiting lines and it is very crucial in analyzing the procedure of queuing in daily life of human being. Queuing theory applies not only in day to day life but also in sequence of computer programming, networks, medical field, banking sectors etc. Researchers have applied many statistical distributions in analyzing a queuing data. In this study, we apply a new distribution named Exponential Gamma distribution in fitting a data on waiting time of bank customers before service is been rendered. We compared the adequacy and performance of the results with other existing statistical distributions. The result shows that the Exponential Gamma distribution is adequate and also performed better than the existing distributions. Ayeni Taiwo Michael | Ogunwale Olukunle Daniel | Adewusi Oluwasesan Adeoye ""Application of Exponential-Gamma Distribution in Modeling Queuing Data"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd30097.pdf
Paper Url : https://www.ijtsrd.com/mathemetics/statistics/30097/application-of-exponential-gamma-distribution-in-modeling-queuing-data/ayeni-taiwo-michael
Application of ann for ultimate shear strength of fly ash concrete beamseSAT Journals
Abstract
The application of artificial neural networks (ANN) for ultimate shear strength of fly ash concrete beams with transverse
reinforcement is investigated in this paper. An ANN model is built, trained and tested using the available test data of 216 RC beams
collected from the literature also the experimental data of twenty seven fly ash concrete beams under shear. The experimental shear
strength were also compared to those obtained using building codal equations and empirical equations proposed by various
researchers. The ANN model was found to predict satisfactorily when compared to available analytical predictions.
Keywords: Artificial Neural Network (ANN), Building codes, Comparison, Charts, Empirical Equations, Fly ash
Concrete, Shear Strength.
Application of ann for ultimate shear strength of fly ash concrete beamseSAT Journals
Abstract
The application of artificial neural networks (ANN) for ultimate shear strength of fly ash concrete beams with transverse
reinforcement is investigated in this paper. An ANN model is built, trained and tested using the available test data of 216 RC beams
collected from the literature also the experimental data of twenty seven fly ash concrete beams under shear. The experimental shear
strength were also compared to those obtained using building codal equations and empirical equations proposed by various
researchers. The ANN model was found to predict satisfactorily when compared to available analytical predictions.
Keywords: Artificial Neural Network (ANN), Building codes, Comparison, Charts, Empirical Equations, Fly ash
Concrete, Shear Strength.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
COMPARATIVE ANALYSIS AND DESIGN OF CONNECTING ROD AM Publications
The connecting rod is the intermediate member between the piston and the Crankshaft. Its primary function is to transmit the push and pull from the piston pin to the crank pin, thus converting the reciprocating motion of the piston into rotary motion of the crank. This thesis describes designing and Analysis of connecting rod. Currently existing connecting rod is manufactured by using material. In this drawing is drafted from the calculations. A parametric model of Connecting rod is modeled using NX 10.0 software and to that model, analysis is carried out by using ANSYS 16.0 Software. Finite element analysis of connecting rod is done by considering the materials Aluminum 360, Forged Steel, Titanium Alloy, Mild Steel, and Magnesium Alloy. The best combination of parameters like Von misses Stress and strain, Deformation, Factor of safety and weight reduction for four wheelers Connecting Rod were done in ANSYS software.
EVALUATE THE STRAIN ENERGY ERROR FOR THE LASER WELD BY THE H-REFINEMENT OF TH...AM Publications
Currently, the finite element method (FEM) is still one of the useful tools in numerical simulation for technical problems. With this method, a continuum model presented by a certain number of elements with a simple approximation field causes the presence of discretization error in solutions. This paper considers the butt weld by laser which subjected the tension for AISI 1018 steel highness 8 mm. The aim of the study is to use the h-refinement of the FEM in estimation the strain energy error for the laser weld mentioned. The results show that the stability of the h-refinement shown by the value of the relative error of the strain energy is quite small, specifically; FEM is less than 5.7% and extra is no more than 3.7%.
Application of Multiple Kernel Support Vector Regression for Weld Bead Geomet...IJECEIAES
Modelling and prediction of weld bead geometry is an important issue in robotic GMAW process. This process is highly non-linear and coupled multivariable system and the relationship between process parameters and weld bead geometry cannot be defined by an explicit mathematical expression. Therefore, application of supervised learning algorithms can be useful for this purpose. Support vector machine is a very successful approach to supervised learning. In this approach, a higher degree of accuracy and generalization capability can be obtained by using the multiple kernel learning framework, which is considered as a great advantage in prediction of weld bead geometry due to the high degree of prediction accuracy required. In this paper, a novel approach for modelling and prediction of the weld bead geometry, based on multiple kernel support vector regression analysis has been proposed, which benefits from a high degree of accuracy and generalization capability. This model can be used for proper selection of welding parameters in order to obtain a desired weld bead geometry in robotic GMAW process.
Application of Exponential Gamma Distribution in Modeling Queuing Dataijtsrd
There are many events in daily life where a queue is formed. Queuing theory is the study of waiting lines and it is very crucial in analyzing the procedure of queuing in daily life of human being. Queuing theory applies not only in day to day life but also in sequence of computer programming, networks, medical field, banking sectors etc. Researchers have applied many statistical distributions in analyzing a queuing data. In this study, we apply a new distribution named Exponential Gamma distribution in fitting a data on waiting time of bank customers before service is been rendered. We compared the adequacy and performance of the results with other existing statistical distributions. The result shows that the Exponential Gamma distribution is adequate and also performed better than the existing distributions. Ayeni Taiwo Michael | Ogunwale Olukunle Daniel | Adewusi Oluwasesan Adeoye ""Application of Exponential-Gamma Distribution in Modeling Queuing Data"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd30097.pdf
Paper Url : https://www.ijtsrd.com/mathemetics/statistics/30097/application-of-exponential-gamma-distribution-in-modeling-queuing-data/ayeni-taiwo-michael
Application of ann for ultimate shear strength of fly ash concrete beamseSAT Journals
Abstract
The application of artificial neural networks (ANN) for ultimate shear strength of fly ash concrete beams with transverse
reinforcement is investigated in this paper. An ANN model is built, trained and tested using the available test data of 216 RC beams
collected from the literature also the experimental data of twenty seven fly ash concrete beams under shear. The experimental shear
strength were also compared to those obtained using building codal equations and empirical equations proposed by various
researchers. The ANN model was found to predict satisfactorily when compared to available analytical predictions.
Keywords: Artificial Neural Network (ANN), Building codes, Comparison, Charts, Empirical Equations, Fly ash
Concrete, Shear Strength.
Application of ann for ultimate shear strength of fly ash concrete beamseSAT Journals
Abstract
The application of artificial neural networks (ANN) for ultimate shear strength of fly ash concrete beams with transverse
reinforcement is investigated in this paper. An ANN model is built, trained and tested using the available test data of 216 RC beams
collected from the literature also the experimental data of twenty seven fly ash concrete beams under shear. The experimental shear
strength were also compared to those obtained using building codal equations and empirical equations proposed by various
researchers. The ANN model was found to predict satisfactorily when compared to available analytical predictions.
Keywords: Artificial Neural Network (ANN), Building codes, Comparison, Charts, Empirical Equations, Fly ash
Concrete, Shear Strength.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
COMPARATIVE ANALYSIS AND DESIGN OF CONNECTING ROD AM Publications
The connecting rod is the intermediate member between the piston and the Crankshaft. Its primary function is to transmit the push and pull from the piston pin to the crank pin, thus converting the reciprocating motion of the piston into rotary motion of the crank. This thesis describes designing and Analysis of connecting rod. Currently existing connecting rod is manufactured by using material. In this drawing is drafted from the calculations. A parametric model of Connecting rod is modeled using NX 10.0 software and to that model, analysis is carried out by using ANSYS 16.0 Software. Finite element analysis of connecting rod is done by considering the materials Aluminum 360, Forged Steel, Titanium Alloy, Mild Steel, and Magnesium Alloy. The best combination of parameters like Von misses Stress and strain, Deformation, Factor of safety and weight reduction for four wheelers Connecting Rod were done in ANSYS software.
Optimization of Force and Surface Roughness for Carbonized Steel in Turning P...IJERA Editor
These days one of the most important machining processes in industries is turning. Turning is affected by many
factors such as the cutting velocity, feed rate, depth of cut and geometry of cutting tool etc., which are input
parameters in this paper work. The desired product of dimensional accuracy and less surface roughness is
influenced by cutting force and tool vibration which are the responses and the functions of these input
parameters. In this paper work we determine the optimal setting of cutting parameters cutting speed, depth of
cut, feed and of the tool by using artificial neural network to get a maximum cutting force an minimum surface
roughness. This study highlights the use of modern optimization technique to optimize the multi response in
turning operation.
This paper presents the life estimation of the diffuser structure. Literature shows that the welds are the source of failure in case of welded structure; hence the estimation of its life is very critical. There are two kinds of methods for life estimation stress life approach and strain life approach which have been validated for simple problems. Stress life approach was identified as appropriate for life estimation of the variable diffuser. There are papers indicating the methodology for life estimation using commercial software for life prediction. Here, Optistruct- Hyper-Works for pre-processing and solver and Hyper-View- Hyper-Works for post processing has been used for the indeterminate structure, complex loading and boundary condition. The mathematical model subjected to the variable pressure contours for a particular Mach No., with the gimbal joint boundary condition at the test section end and the roller support at the other end. In this paper stress and fatigue analysis of the variable diffuser has been carried out and life of the variable diffuser has been estimated.
COGNITIVE MODELING OF 1D CONDUCTIVE THERMAL TRANSFER IN A MONO-WALL PLAN-WALL...AM Publications
This article shows the research work done on the cognitive modeling of 1D conductive heat transfer in a monolayer plane wall. The unsteady regime reigns in general formulation in the solid region of the wall. Physical modeling is based on the unidirectional thermal conduction equation with convective conditions at the outer surfaces. The relative analytical study resulted in a result serving as a basis for the neural network we used. For the function approximation, two large families of neural networks are potentially exploitable such as the GRBF (Gaussian Radial Basis Functions or Gaussian Radial Functions Base) network and the PMC (Perceptron Multi-Layer). In our research, we used the multilayer perceptron to model the thermal conduction through a wooden wall. Since performance is an indicator that allows us to choose the model that best represents the physical phenomenon that we are simulating, we presented the variations in the performance of each model as a function of the number of neurons and the number of learning loops. In the training phase, we instructed our model of input and output data to which it must converge. The results show that this cognitive modeling offers several possibilities in its field of application according to some adjustable parameters such as the number of neurons and the learning loop.
Data-Driven Hydrocarbon Production Forecasting Using Machine Learning Techniques (pp. 65-72)
Masoud Safari Zanjani, Mohammad Abdus Salam, Osman Kandara
Department of Computer Science, Southern University, Baton Rouge, Louisiana, USA.
Vol. 18 No. 6 JUNE 2020 International Journal of Computer Science and Information Security
https://sites.google.com/site/ijcsis/vol-18-no-6-jun-2020
Number of iterations needed in Monte Carlo Simulation using reliability analy...IJERA Editor
There are many methods in geotechnical engineering which could take advantage of Monte Carlo Simulation to
establish probability of failure, since closed form solutions are almost impossible to use in most cases. The
problem that arises with using Monte Carlo Simulation is the number of iterations needed for a particular
simulation.This article will show why it’s important to calculate number of iterations needed for Monte Carlo
Simulation used in reliability analysis for tunnel supports using convergence – confinement method. Number if
iterations needed will be calculated with two methods. In the first method, the analyst has to accept a distribution
function for the performance function. The other method suggested by this article is to calculate number of
iterations based on the convergence of the factor the analyst is interested in the calculation.
Reliability analysis will be performed for the diversion tunnel in Rrëshen, Albania, by using both methods
mentioned and results will be confronted
SIMULATION OF THE DRILLING PROCESS IN GFRP COMPOSITES USING SYSTEM DYNAMICS A...IAEME Publication
This paper intends to present the System Dynamics (SD) as a novel method to
simulate the thrust force developed during drilling of GFRP composites. Good quality
holes are extremely fundamental so as to accomplish equally good joints amid
creation of components prepared from composite for better execution. Since the
nature of a drilled hole is subject to material properties and machining conditions, it
is important to think about the impacts of these factors on the nature of hole obtained.
In the present work, the machining parameters thickness of the material, drill point
angle, drill size, drill speed and feed rate are selected to evaluate their effect on the
quality of the hole. Past works uncover the fact that the damage caused to the drilled
hole is primarily due to the thrust force. Consequently it is fundamental to limit the
thrust force so as to accomplish better quality of the drilled hole. The SD simulation
model was implemented through a causal loop diagram. A mathematical equation
used in the simulation was developed utilizing the Design of Experiments (DOE)
technique. VENSIM programming was utilized to create and run the SD model. The
SD simulation results were compared with Artificial Neural Networks (ANN) results,
Response Surface Methodoly (RSM) results and the experimental results. A decent
agreement was seen between SD, ANN and RSM results
Artificial Neural Network Based Graphical User Interface for Estimation of Fa...ijsrd.com
This paper addresses the problem of estimation of fabrication time in Rig construction projects through application of Artificial Neural Network (ANNs) as this is the most crucial activity for successful project management planning. ANN is a non-linear, data driven, self adaptive approach as opposed to the traditional model based methods, also fast becoming popular in forecasting where relationship between input and output is not known but vast collection of data is available. Around 960 data regarding fabrication activity has been collected from ABG Shipyard Ltd., Dahej. 3 input parameters have been considered for estimation of output as fabrication time. 11 Feed Forward Back Propagation neural networks with different network architectures were made. Network N10 was able to predict the output with MSE 1.35337e-2. Coding was done for the Graphical User Interface (GUI) so that the GUI runs, simulates network N10, and displays the fabrication time for different combination of inputs.
Predicting the Maintenance of Aircraft Engines using LSTMijtsrd
What if apart of aircraft could let you know when the aircraft component needed to be replaced or repaired It can be done with continuous data collection, monitoring, and advanced analytics. In the aviation industry, predictive maintenance promises increased reliability as well as improved supply chain and operational performance. The main goal is to ensure that the engines work correctly under all conditions and there is no risk of failure. If an effective method for predicting failures is applied, maintenance may be improved. The main source of data regarding the health of the engines is measured during the flights. Several variables are calculated, including fan speed, core speed, quantity and oil pressure and, environmental variables such as outside temperature, aircraft speed, altitude, and so on. Sensor data obtained in real time can be used to model component deterioration. To predict the maintenance of an aircraft engine, LSTM networks is used in this paper. A sequential input file is dealt with by the LSTM model. The training of LSTM networks was carried out on a high performance large scale processing engine. Machines, data, ideas, and people must all be brought together to understand the importance of predictive maintenance and achieve business results that matter. Nitin Prasad | Dr. A Rengarajan "Predicting the Maintenance of Aircraft Engines using LSTM" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd41288.pdf Paper URL: https://www.ijtsrd.comcomputer-science/data-processing/41288/predicting-the-maintenance-of-aircraft-engines-using-lstm/nitin-prasad
DEVELOPMENT OF TODDLER FAMILY CADRE TRAINING BASED ON ANDROID APPLICATIONS IN...AM Publications
Toddler family cadre is a community members work voluntarily in fostering and providing information to parents of toddlers about how to properly care for children. Toddler Family cadre desperately need training to increase their skills. There are still a few Toddler family cadres who get training so that the knowledge and skills of parents and other family members in developing toddlers' growth through physical stimulation, motoric intelligence, emotional and social economy as well as possible are still lacking. The purpose of this study is to develop an Android- assisted Toddler family cadre training model in Demak. This research is research in tian research and development. The research location was in Demak Regency. Toddler family cadres became the object of this research. Development of Toddler family cadre training models assisted by Android in Demak is feasible to be used as an effort to improve Toddler Family cadres' capabilities.
TESTING OF COMPOSITE ON DROP-WEIGHT IMPACT TESTING AND DAMAGE IDENTIFICATION ...AM Publications
In recent years the use of composite materials in structural components has become increasingly common in a wide range of engineering applications. Composite materials offer numerous advantages over more conventional materials because of their superior specific properties, but a serious obstacle to a more widespread use of these materials is their high sensitivity to localized impact loading. This paper presents an experimental study to assess the impact response of drop weight impact tests on fiber reinforced polymer composites with deferent load and damage identification of composite using Non-destructive testing techniques ultrasonic testing (UT) C scan. In the study includes checking the strength of the specimen, plotting of graphs between the height and the impact energy obtained and tabulating the results after conducting the various functional tests.
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These days one of the most important machining processes in industries is turning. Turning is affected by many
factors such as the cutting velocity, feed rate, depth of cut and geometry of cutting tool etc., which are input
parameters in this paper work. The desired product of dimensional accuracy and less surface roughness is
influenced by cutting force and tool vibration which are the responses and the functions of these input
parameters. In this paper work we determine the optimal setting of cutting parameters cutting speed, depth of
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This article shows the research work done on the cognitive modeling of 1D conductive heat transfer in a monolayer plane wall. The unsteady regime reigns in general formulation in the solid region of the wall. Physical modeling is based on the unidirectional thermal conduction equation with convective conditions at the outer surfaces. The relative analytical study resulted in a result serving as a basis for the neural network we used. For the function approximation, two large families of neural networks are potentially exploitable such as the GRBF (Gaussian Radial Basis Functions or Gaussian Radial Functions Base) network and the PMC (Perceptron Multi-Layer). In our research, we used the multilayer perceptron to model the thermal conduction through a wooden wall. Since performance is an indicator that allows us to choose the model that best represents the physical phenomenon that we are simulating, we presented the variations in the performance of each model as a function of the number of neurons and the number of learning loops. In the training phase, we instructed our model of input and output data to which it must converge. The results show that this cognitive modeling offers several possibilities in its field of application according to some adjustable parameters such as the number of neurons and the learning loop.
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Number of iterations needed in Monte Carlo Simulation using reliability analy...IJERA Editor
There are many methods in geotechnical engineering which could take advantage of Monte Carlo Simulation to
establish probability of failure, since closed form solutions are almost impossible to use in most cases. The
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simulation.This article will show why it’s important to calculate number of iterations needed for Monte Carlo
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function for the performance function. The other method suggested by this article is to calculate number of
iterations based on the convergence of the factor the analyst is interested in the calculation.
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This paper intends to present the System Dynamics (SD) as a novel method to
simulate the thrust force developed during drilling of GFRP composites. Good quality
holes are extremely fundamental so as to accomplish equally good joints amid
creation of components prepared from composite for better execution. Since the
nature of a drilled hole is subject to material properties and machining conditions, it
is important to think about the impacts of these factors on the nature of hole obtained.
In the present work, the machining parameters thickness of the material, drill point
angle, drill size, drill speed and feed rate are selected to evaluate their effect on the
quality of the hole. Past works uncover the fact that the damage caused to the drilled
hole is primarily due to the thrust force. Consequently it is fundamental to limit the
thrust force so as to accomplish better quality of the drilled hole. The SD simulation
model was implemented through a causal loop diagram. A mathematical equation
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Two-dimensional resistivity analysis of magnetotelluric data has been done at “Z” geothermal area which is located in southern part of Indonesia. The objective is to understand subsurface structure beneath reasearch area based on 2-D modeling of magnetotelluric data. The inversion finite element method were used for numerical simulations which requires discretization on the boundary of the modeling domain. The modeling results of magnetotelluric data shows relativity structure dissemination: 0-10 ohm.m in a thickness of 1 km (Clay Cap), 10-100 ohm.m with 1-2 km depth respectively (reservoir zone), and on a scale of 100-1000 ohm.m in a depth of 2-3 km (heat source zone). The result of relativity structure can be used to delineate an area with geothermal prospect around 12 km2.
ANALYSIS AND DESIGN E-MARKETPLACE FOR MICRO, SMALL AND MEDIUM ENTERPRISESAM Publications
The Ministry of Cooperatives and Small and Medium Enterprises launched in 2018 the number of Micro, Small and Medium Enterprises (MSMEs) in Indonesia as many as 58.97 million people. It is predicted that the number of MSMEs players in 2019 will amount to 59.2 million. This shows that the Indonesian people have made changes in the field of family economics which initially as consumptive are now productive. The community prefers to carry out activities that can increase family income. Future MSMEs remain the mainstay of the national economy. In accordance with the government roadmap, in 2020 e-commerce transactions are predicted to reach Rp1,300 trillion or equivalent to USD130 billion. According to data from the Central Statistics Agency (BPS), the contribution of MSMEs to Indonesia's Gross Domestic Product (GDP) reached 61.41%, with the number of MSMEs reaching almost 60 million units. However, only around 8% or 3.79 million of the 59.2 million MSMEs players have used online platforms to market their products. Based on the above problems, researchers conducted research on the analysis and display of E-Marketplace for MSMEs in Indonesia. The type of research used is action research. The object of research is MSMEs which are under the Office of Industry and Trade of Sragen Regency. The method of data collection is by techniques: (1) interview, (2) documentation (3) observation, (4) literature study. The researcher uses the waterfall method in developing the system. The research team has successfully analyzed the E-Market place according to the results of data collection. The research team has succeeded in designing the E-Marketplace for MSMEs. E-Marketplace designed can be used by admin, MSME and user. Admin is in charge of managing E-Marketplace and has full access rights. MSMEs can register online and manage their products in E-Marketplace. Users or buyers can search data in E-Marketplace as desired. To make transactions, users can interact directly with MSMEs according to the data provided in E-Marketplace. E-Marketplace can be used for marketing together MSMEs products. This e-marketplace can be accessed at www.umkmonline.com
REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS AM Publications
Remote sensing technology's increasing accessibility helps us observe research and learn about our globe in ways we could only imagine a generation ago. Guides to profound knowledge of historical, conceptual and practical uses of remote sensing which is increasing GIS technology. This paper will go briefly through remote sensing benefits, history, technology and the GIS and remote sensing integration and their applications. Remote sensing (RS) is used in mapping the predicted and actual species and dominates the ecosystem canopy.
HMM APPLICATION IN ISOLATED WORD SPEECH RECOGNITIONAM Publications
Speech recognition is always being an all-time trendy topic for discussion and also for researches and we see a major application in our life. This paper provides the work done on the application of Hidden Markov model to implement isolated word speech recognition on MATLAB and to develop and train the system for set of self-selective words for specific user (user dependent) to get maximum efficiency in word recognition system. Which uses the forward and Baum-welch algorithm and fitting Gaussian of the Baum-welch algorithm for all the iteration perform. We use a sample of 7 alphabets which are recorded in 15 different ways giving total of 105 word to use for training with each word with 15 variations. This system can be used in real world in system security using voice security system and mainly for children and impaired people.
PEDESTRIAN DETECTION IN LOW RESOLUTION VIDEOS USING A MULTI-FRAME HOG-BASED D...AM Publications
Detecting pedestrians in low resolution videos is a challenging task, due to the small size of pedestrians in the images and the limited information. In practical outdoor surveillance scenarios the pedestrian size is usually small. Existing state-of-the-art pedestrian detection methods that use histogram of oriented gradient (HOG) features have poor performance in this problem domain. To compensate for the lack of information in a single frame, we propose a novel detection method that recognizes pedestrians in a short sequence of frames. Namely, we take the single-frame HOG-based detector and extend it to multiple frames. Our detector is applied to regions containing potential moving objects. In the case of video taken from a moving camera on an aerial platform, video stabilization is first performed to register the frames. A classifier is then applied to features extracted from spatio-temporal volumes surrounding the potential moving objects. On challenging stationary and aerial video datasets, our detection accuracy outperforms several state-of-the-art algorithms.
The aim of this paper is to help the blind people to identify and catch the public transport vehicles with the help of Light Fidelity technology. It is a Navigation aid. When the bus arrives at the bus stand, transmitter in the bus transmits the light signals and receiver in the stick, receives the light signals and a sound signal is generated through the speaker present in the stick. The sound message contains the bus number and the destination of the bus. In addition to this, if the person is absconded or lost, details of the location will be sent to his/her family members by pressing a button. This is made possible with the help of Global System for Mobile (GSM). Finally, presence of water can be detected along the blind person’s path, with the help of water sensors.
EFFECT OF SILICON - RUBBER (SR) SHEETS AS AN ALTERNATIVE FILTER ON HIGH AND L...AM Publications
A digital radiography delivers a radiation dose to patients; therefore it poses potential risk to the patients. One effort to reduce dose is carried out using a radiation filter, e.g. Silicone Rubber (SR) sheet. The purpose of this research was to determine the impact of the SR sheet on the high contrast objects (HCO) and the low contrast objects (LCO). The dose reduction was determined from attenuation x-rays before and after using the SR sheet. Assessment of HCO and LCO was observed from CDR TOR phantom at tube voltage of 48 kVp and tube current of 8 mAs. The physical parameter to assess image quality was the Signal to Noise Ratio (SNR) value in LCO. The maximum x-ray attenuation using the SR sheet is 48.82%. The visibility of the HCO remains the same, namely 16 objects; however the LCO slighly decreases from 14 objects to 13 objects after using the SR sheet. The SNR value decreases with an average value of 15.17%.Therefore, the SR sheet as a alternative filter has no effect on the HCO and has realtively little effect on the LCO. Thus, the SR sheet potentially is used for radiation protection in patients, especially on examinations that do not require low contrast resolution.
UTILIZATION OF IMMUNIZATION SERVICES AMONG CHILDREN UNDER FIVE YEARS OF AGE I...AM Publications
Immunization is the key strategy to curb communicable diseases which are the number one killer of children under five. Immunization prevents mortalities of approximating three million children under five annually. This study aimed to assess utilization of immunization services among children under five of age in Kirinyaga County, Kenya.
REPRESENTATION OF THE BLOCK DATA ENCRYPTION ALGORITHM IN AN ANALYTICAL FORM F...AM Publications
The article presents the study of cryptographic transformations of the Kuznyechik algorithm in relation to differential analysis and the translation of their representations into a more convenient form for cryptanalysis. A simplification of the type of transformations of the algorithm to algebraic the form, in which cryptanalysis software will be more effective. Since the description of the algorithm in the analytical form allows for 16 cycles of execution of the shift register with linear feedback, each of which will be carried out 16 operations of multiplication and 15 operations of addition, reduced to 16 multiplying and 15 the operations of addition. The result is an algebraic form of a linear transformation (from a shift register with linear feedback to the multiplication of the matrix in a finite field). In the future, the algebraic type of transformation can be used to effectively carry out differential cryptanalysis.
Optical character recognition (OCR) is process of classification of optical patterns contained in a digital image. The process of OCR Recognition involves several steps including pre-processing, segmentation, feature extraction, classification. Pre-processing is for done the basic operation on input image like noise reduction which remove the noisy signal from image. Segmentation stage for segment the given image into line by line and segment each character from segmented line. Future extraction calculates the characteristics of character. A Radial Basis Function Neural Network (RBFNN) is used to classification contains the database and does the comparison.
Surveillance refers to the task of observing a scene, often for lengthy periods in search of particular objects or particular behaviour. This task has many applications, foremost among them is security (monitoring for undesirable behaviour such as theft or vandalism), but increasing numbers of others in areas such as agriculture also exist. Historically, closed circuit TV (CCTV) surveillance has been mundane and labour Intensive, involving personnel scanning multiple screens, but the advent of reasonably priced fast hardware means that automatic surveillance is becoming a realistic task to attempt in real time. Several attempts at this are underway.
SIMULATION OF ATMOSPHERIC POLLUTANTS DISPERSION IN AN URBAN ENVIRONMENTAM Publications
Interest in air pollution investigation of urban environment due to existence of industrial and commercial activities along with vehicular emission and existence of buildings and streets which setup natural barrier for pollutant dispersion in the urban environment has increased. The air pollution modelling is a multidisciplinary subject when the entire cities are taken under consideration where urban planning and geometries are complex which needs a large software packages to be developed like Operational Street Pollution Model (OSPM), California Line Source model (CALINE series) etc. On overviewing various works it can be summarized that the air pollutant dispersion in urban street canyons and all linked phenomenon such as wind flow, pollutant concentrations, temperature distribution etc. generally depend on wind speed and direction, building heights and density, road width, source and intensity of air pollution, meteorological variables like temperature, humidity etc. A unique and surprising case is observed every time on numerous combinations of these factors. The main aim of this study is to simulate the atmospheric pollutant dispersion for given pollutant like carbon monoxide, sulphur dioxide and nitrogen dioxide and given atmospheric conditions like wind speed and direction. Computational Fluid Dynamics (CFD) simulation for analysing the atmospheric pollutant dispersion is done after natural airflow analysis. Volume rendering is done for variables such as phase 2 volume fraction and velocity with resolution as 250 pixels per inch and transparency as 20%. It can be observed that all the three pollutant namely nitrogen dioxide, sulphur dioxide and carbon monoxide the phase 2 volume fraction changes from 0 to 1. The wind velocity changes from 3.395×10-13 m/s to 1.692×102 m/s. The dispersion of pollutants follow the sequence Sulphur dioxide>Carbon monoxide>Nitrogen dioxide.
PREPARATION AND EVALUATION OF WOOL KERATIN BASED CHITOSAN NANOFIBERS FOR AIR ...AM Publications
In this article, we have extracted keratin from deccani wool waste and prepared the wool keratin based Chitosan nanofibers by electrospinning technique. The prepared nanofibers mat were prepared with different weight percent ratio like 1wt.%, 3wt.% and 5wt.% with respect to polymer i.e Chitosan. The physicochemical and filtration properties of wool keratin based Chitosan nanofibers were studied. Wool keratin based Chitosan nanofibers were characterized by Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), differential scanning calorimetry (DSC) and scanning electron microscopy (FESEM). The filtration efficiency of keratin Chitosan nanofibers were investigated through DOP test and heavy metal removal capacity of evaluated through Atomic absorption spectroscopy. FTIR results were showed that Keratin gets compatible with Chitosan. XRD patterns revealed keratin was in crystalline nature and increase the crystalline nature of Chitosan nanofibers. FESEM images showed that uniform nanofibers generation with average fiber diameter 80nm. Nanofibers filtration efficiency against a particulate matter in air was obtained more than 99.53% and excellent property of removal of heavy metal.
ANALYSIS ON LOAD BALANCING ALGORITHMS IMPLEMENTATION ON CLOUD COMPUTING ENVIR...AM Publications
Cloud computing means storing and accessing data and programs over the Internet instead of your computer's hard drive. The cloud is just a metaphor for the Internet. The elements involved in cloud computing are clients, data center and distributed server. One of the main problems in cloud computing is load balancing. Balancing the load means to distribute the workload among several nodes evenly so that no single node will be overloaded. Load can be of any type that is it can be CPU load, memory capacity or network load. In this paper we presented an architecture of load balancing and algorithm which will further improve the load balancing problem by minimizing the response time. In this paper, we have proposed the enhanced version of existing regulated load balancing approach for cloud computing by comping the Randomization and greedy load balancing algorithm. To check the performance of proposed approach, we have used the cloud analyst simulator (Cloud Analyst). Through simulation analysis, it has been found that proposed improved version of regulated load balancing approach has shown better performance in terms of cost, response time and data processing time.
A MODEL BASED APPROACH FOR IMPLEMENTING WLAN SECURITY AM Publications
This paper presents various security features and configurations commonly implemented in WLANs and their aggregated security levels and then proposes a model that enables implementation and evaluation of WLAN security
DATA MINING WITH CLUSTERING ON BIG DATA FOR SHOPPING MALL’S DATASETAM Publications
Big Data is the extremely large sets of data that their sizes are beyond the ability of capturing, managing, processing and storage by most software tools and people which is ever increasing day-by-day. In most enterprise scenarios the data is too big or it moves too fast that extremely exceeds current processing capacity. The term big data is also used by vendors, may refer to the technology which includes tools and processes that an organization requires to handle the large amounts of data and storage facilities. This advancement in technology leads to make relationship marketing a reality for today’s competitive world. But at the same time this huge amount of data cannot be analyzed in a traditional manner, by using manual data analysis. For this, technologies such as data warehousing and data mining have made customer relationship management as a new area where business firms can gain a competitive advantage for identifying their customer behaviors and needs. This paper mainly focuses on data mining technique that performs the extraction of hidden predictive information from large databases and organizations can identify valuable customers and predicts future user behaviors. This enables different organizations to make proactive, knowledge-driven decisions. Data mining tools answer business questions that in the past were too time-consuming, this makes customer relationship management possible. For this in this paper, we are trying explain the use of data mining technique to accomplish the goals of today’s customer relationship management and Decision making for different companies that deals with big data.
ENRICHING CREATIVE ENGINEERING PRODUCTS AS HIGH QUALITY AND COMPETITIVE WITH ...AM Publications
Improving quality and competitiveness is the goal of every small and medium industry in the production of granite materials. The constraints of small and medium industries are (1) production process infrastructure; (2) the production process is not regular; (3) control of products that tend to be loose; (4) mindset tends to be short-term oriented; (5) product sales orientation limited to the local market.The research objective is to find effective and efficient machining parameters, analyze factors that influence surface roughness, and enrich the variety of creative product designs of marble stone materials. This study uses an experimental method approach which is a study to find the effect of spindle rotation variables, infeed speed, infeed depth on the quality of surface roughness by operating the CNC Machine Router 3-Axis. It was found that the the following parameters of the machine are cutting speed machining 30 (m / min), spindle rotation 12000 (rpm), and speed / feed rate 2000 (mm / min). Analysis of factors that influence the surface roughness of marble engraver the higher the speed / rate of infeed and the depth of infeed, the higher the surface roughness value of marble. Computer and engineering software applications are able to increase the variety of creative product designs.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
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Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/