Abstract:

The natural gas combined cycle (NGCC) power plant has been a prominent technology for electrical power generation. Moreover, the relatively high efficiencies, low investment cost, and a low carbon-to-hydrogen ratio of natural gas compared to other fossil fuel sources have driven the attraction of NGCC plants for enhanced power generation. In addition to the need to increase power generation, there are environmental concerns over CO2 emission from thermal power plants. Hence, recourse is taken to the development of efficient low-emission power generating systems.Thiswork demonstrates a unique NGCC model using Aspen Plus®software integrated with the calcium looping (CaL) process for CO2 capture. Also, the supercritical CO2 cycle replaces the conventional steam Rankine cycle... <1), but more during the vegetative stage..
Keyword: Carbon Capture, Natural gas combined cycle, Calcium looping,Economic analysis

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EbuwaOsagie, OdugbaJeminePotters "Low-Emission Natural Gas combined Cycle (NGCC) with Calcium Looping (CaL) Plant and Supercritical CO2 Bottoming Cycle" Vol. 10 - No. 11 (Nov. 2020), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com

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Abstract:

It is desirable for making atmosphere more comfortable or pleasant to clarify how color temperature and air temperature affect psychological preferences in interior lighting. The psychological evaluation experiments was conducted by using a laboratory whose air temperature was kept at a constant value.The experiments demonstrated the following, on condition that subject compare the test side booth with the standard side booth, whose color temperatures were different each other. The air temperature to which the subjects were exposed was low, as in winter, the atmosphere in a booth was more preferable at a low color temperature than at a high color temperature, immediately after the lighting was turned on. On the other hand, the air temperature was high, as in summer, it was more preferable at a high color temperature than at a low color temperature..
Keyword: color temperature, air temperature, preference of atmosphere, psychological evaluation, interior lighting.

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Jia Chen, Lin Jiang "The influence of color temperature on atmosphere preference and Air Temperature" Vol. 10 - No. 11 (Nov. 2020), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com

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Abstract:

In recent decades, the global production of pomegranate has increased considerably, leading to a remarkable increase in the amount of pomegranate peel generated. Hence, the need for its valuation. In this respect, the present work aims to attempt the potentiality of pomegranate peel as a low-cost adsorbent for methylene blue (MB) removal. The batch experiments were performed to determine the adsorption capacity of the biomass. The system variables studied include Adsorption time and initial dye concentration. It was shown that the MB adsorption onto pomegranate peel is drastically dependent on adsorption time and initial dye concentration. The rate adsorption of MB was rapid, attained equilibrium at about 60 min, a time in which the percentage removal exceeds 75%, and this at the initial dye concentration....
Keyword: Adsorption capacity, cationic dye, pomegranate peel, valuation, dye removal

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Rajae GHIBATE, Omar SENHAJI, Rachid TAOUIL "Valuation of Pomegranate Peel for Cationic Dye Removal" Vol. 10 - No. 11 (Nov. 2020), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com

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Abstract:

This paper studies the evaluation of probabilistic SPARQL queries. The evaluation of such queries is, in principle, conceptually simple and straightforward. However, it does incur a time cost that must be taken into account. It thus expedient to devise methods that lower this cost. We propose and explain such a method, that makes use of complex matrices. The idea to resort to the complex numbers is inspired from the greatly expanding field of unconventional computing, and, in particular, from quantum computing. This novel proposal simplifies and speeds up calculation of products of probabilities. Therefore, is particularly promising in these cases where the same answer set can be obtained either by employing exact computations or by employing suitable approximations, as is indeed the case in many probabilistic queries.
Keyword: RDF graph, SPARQL query, probabilistic SPARQL query, complex matrices

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Theodore Andronikos "Complex Matrices for the Approximate Evaluation of Probabilistic Queries" Vol. 10 - No. 11 (Nov. 2020), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com

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Abstract:

Home automation systems are cutting edge tech- nologies to monitor and control a smart home environ- ment to produce an efficient system that accurately predicts the needs of the human occupants. Past research has focused on the accuracy of prediction of a users future action. However, a focus on prediction accuracy often comes at the cost of slower processing time. additionally, a need of hardware implementation is necessary to assure the consistency of the simulation results. Finally, much of that work uses synthetic datasets which do not always reflect the real-world interactions that occur between an individual and the home environment. This paper focuses on the prediction of future human actions in an intelligent environment with the goal of achieving both high prediction accuracy and response times that are appro- priate for a real-time application environment. Using several different machine learning algorithms, both the simulation experiments and hardware implementation....
Keyword: Smart Home System, FPGA, Autonomous Sys- tem, Machine Learning Algorithms, Prediction System

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Basman M. Hasan Alhafidh, Amar I. Daood, Mudhar A. Hammoudy "Design and Implementation of Home Autonomous System Based on Machine Learning Algorithms" Vol. 10 - No. 11 (Nov. 2020), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com

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Abstract:

In this work we present a systematic review of novel and interesting behaviour we have observed in a simplified model of a MEMS oscillator. The model is third order and nonlinear, and we expressit as a single ODE for a displacement variable. We find that a single oscillator exhibits limitcycles whose amplitude is well approximated by perturbation methods. Two coupled identicaloscillators have in-phase and out-of-phase modes as well as more complicated motions.Bothof the simple modes are stable in some regions of the parameter space while the bifurcationstructure is quite complex in other regions. This structure is symmetric; the symmetry is brokenby the introduction of detuning between...
Keyword: ...

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Richard H Rand, B Shayak, Aditya Bhaskar, Alan T Zehnder "Dynamics of a system of two coupled third-order MEMS oscillators" Vol. 10 - No. 11 (Nov. 2020), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com

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Abstract:

LPWAN as the name indicates it stands for consumption of low power (LP) and long range communication (WAN). Since these devices are cheap in costs it suits well for IoT application. LPWAN technology can be based on licensed or open standard options Low Power Wide Area Network (LPWAN) keeps Internet of Things active by providing solutions in unlicensed and licensed frequency bands. LPWAN devices known for long-distance, low cost battery or no battery and cheap end devices. LPWAN technologies based on two important concepts called, i) Ultra Narrow Band (UNB) ii) Spread Spectrum (SS). Selection of these technologies are considered based on parameters such as capacity, interference, co-existence and link budget etc. In this paper, we will analyse Ultra Narrow Band LPWAN technology -Sigfox and Spread spectrum LPWAN technology - LoRa. Both UNB and SS are used for long distance coverage with extended battery life of IIOT (Industrial IoT)..
Keyword: LPWAN, Sigfox, LoRa, Ultra Narrow Band, Spread Spectrum, NB-IoT

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Anireekshith Narayana, Rinku Hazarika "Choice of effective LPWAN protocol for IoT System: Sigfox and LoRa" Vol. 10 - No. 11 (Nov. 2020), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com

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Abstract:

Driver drowsiness is one of the reasons for large number of road accidents these days. With the advancement in Computer Vision technologies, smart/intelligent cameras are developed to identify drowsiness in drivers, thereby alerting drivers which in turn reduce accidents when they are in fatigue. In this work, a new framework is proposed using deep learning to detect driver drowsiness based on Eye state while driving the vehicle. To detect the face and extract the eye region from the face images, Viola-Jones face detection algorithm is used in this work. Stacked deep convolution neural network is developed to extract features from dynamically identified key frames from camera sequences and used for learning phase. A CNN classifier is used to classify the driver as sleep or non-sleep....
Keyword: Driver Drowsiness, Artificial Intelligence, Feature learning, deep learning, Convolutional Neural Networks.

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Balarama Krishna Padamata, Dr. Jhansi Rani Singothu "A Machine Learning Approach for Driver Drowsiness Detection" Vol. 10 - No. 11 (Nov. 2020), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com

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Abstract:

Computer vision - based fire detection has recently attracted great deal of attention from the research community. In this paper, the authors propose and analyses a new approach for identifying fire in videos. Computer vision techniques are largely used now a days to detect the fire. There are also many challenges in judging whether the region detected as fire is actually a fire this is perhaps mainly because the color of fire can range from red yellow to almost white. So fire region cannot be detected only by a single feature color many other features have to be taken into consideration. This paper is a study of the recent techniques and features extracted by different existing algorithms. In this approach, we propose a combined algorithm for detecting the fire in videos based on the changes of the statistical features in the fire regions between different..
Keyword: Fire detection, Pattern recognition, Bayes classification, Flame feature, Probabilistic model, statistical Features of Fire Regions

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Kovvuri Narendra, Dr. Jhansi Rani Singothu "A New Approach to Vision-Based Fire Detection Using Machine Learning" Vol. 10 - No. 11 (Nov. 2020), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com

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Abstract:

Changes in traditional business models provided by e-commerce have led to significant changes in the traditional logistics system. These changes deeply affected the processes and the way traditional carriers performed the logistics of their operations, once they faced different demands. The present study aimed to verify how the process of adaptation of the carriers happened, what were the results obtained and the impacts caused by the changes in the structures of these companies. For this, the methodology was based on a qualitative research, of exploratory nature carried out through a multiple case study. As a data collection instrument, an in-depth semi-structured interview was executed with the application of a basic questionnaire realized personally with the managers of the traditional...
Keyword: logistics, e-commerce, transportation companies

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Angelica Comin, Tania Craco, Jennifer Craco, Uiliam Hahn Biegelmeyer, Maria Emilia Camargo "E-Commerce: How Traditional Serra Gaúcha Carriers Adapted To Meet This Segment" Vol. 10 - No. 11 (Nov. 2020), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com

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Abstract:

The study and analysis of the explosive atmosphere in the building began in the 1960s. In the United States, the US Department of Defense released a 1959 technology textbook "Resistance to Traumatic Result" in 1959. Revised version of the brochure TM 5-1300 (1990) which is widely used by military and civil society organizations to design buildings to prevent the spread of explosions and to provide protection for personnel and critical equipment..
Keyword: massive dynamic load, explosion-resistant structure, oxidation, blast phenomenon and unconventional cloud explosions

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Deepak Sharma, Er. Manni Sharmai "Analysis of Structural Response under Blast Loading Using Sap 2000 and Autodyn" Vol. 10 - No. 11 (Nov. 2020), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com

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Abstract:

Although, it presents the use of SSL and TLS as protection mechanisms of communication trough encryption in data transportation making it been the most used crucial service, like messaging, financial transactions, etc., At the same time, it becomes in an attack target through its different versions which they have managed to be successful because of different methods. Making the protocol to evolve rapidly in its implementation modes and present improvements by means of hybrid solutions with the aim to solve those found security breaches or to give power to other services. In this document it is presented an analysis of these affirmations, managing to determine how safe the protocol is at the moment and how it prepares to the future.
Keyword: Comunication, Safe protocols, Security, SSL, TLS.

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Johana Alejandra Mendoza Aguilera, Norberto Novoa Torres "Evolution of the Transport Layer Security as Internet Security Protocol: Impact, Improvements and Extent" Vol. 10 - No. 11 (Nov. 2020), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com

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Abstract:

Digital technology has made an important contribution in the field of audio logy. Digital signal processing methods offer great potential for designing a hearing aid but, today‟s Digital hearing aids are not up to the expectation for Sensory Neural Hearing Loss (SNHL) patients. Background noise is particularly damaging the speech intelligibility for SNHL persons. Transform domain adaptive methods can be used for noise reduction. But are having high computational complexity and the decorrelation efficiency is also less in most if the transformation methods. Artificial neural networks provide an analytical alternative to conventional techniques, which are often limited by strict assumptions of normality, linearity, variable independence etc. Hence this paper uses the neural network noise canceller to enhance the speech signal in digital hearing aid for SNHL person. Off-line implementations shows that the SNR improvement in direct time-domain neural network filtering approach with backpropagation training algorithm is almost equal to non-neural methods like transform domain adaptive filters.
Keyword: Hearing Impairment, Neural-networks, Sensorineural hearing loss, SNR improvement, Digital Hearing Aid.

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Sunitha.S.L "Neural Networks and Intelligibility Test for Sensory Neural Hearing Impairment" Vol. 10 - No. 11 (Nov. 2020), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com

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Abstract:

A recent development in the state-of-art technology machine learning plays a vital role in the image processing applications such as biomedical, satellite image processing, Artificial Intelligence such as object identification and recognition and so on. Severity of the diabetic retinopathy disease is based on a presence of micro aneurysms, exudates, neovascularization, Haemorrhages. The purpose of this project is to design an automated and efficient solution that could detect the symptoms of DR from a retinal image within seconds and simplify the process of reviewing and examination of images. Diabetic Retinopathy (DR) is a complication of diabetes that is caused by changes in the blood vessel of the retina and it is one of the leading causes of blindness in the developed world. Currently, detecting DR symptoms is a manual and time-consuming process. In our approach, we trained a deep Convolutional Neural Network model on a large dataset consisting around 35,000 images and used dropout layer techniques....
Keyword: Diabetic Retinopathy, Convolutional Neural Network, Relu,Drop-Out, Fundus Images, Neural Network, Macula, Optic Disc Feature learning, deep learning, Convolutional Neural Networks

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Yenni Manaswini, Dr.Jhansi Rani Singothu "Detection of Diabetic Retinopathy using deep Convolutional Neural Network" Vol. 10 - No. 11 (Nov. 2020), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com

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Abstract:

This paper presents results and analysis of a series of propagation measurements conducted in Florida's coastal waters. The measurements were conducted in the 2.4GHz ISM band with the transmitter placed on the shore and the receiver placed on a boat. The analysis show that the path loss may be modeled using the log-distance path loss model. The parameters of the models are determined from the measured data..
Keyword: RF path loss characterization, propagation in coastal waters, drive test studies, log-distance path loss model

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Rayan Enaya, Dr.IvicaKostanic "Over the Ocean RF Propagation Modeling and Characterization" Vol. 10 - No. 11 (Nov. 2020), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com

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Abstract:

Nannochloropsis oculata microalgae were grown under controlled conditions. The resulting biomass was extracted with n-hexane and this lipid extract, after solvent vaporization, was pyrolyzed, either alone or in presence of niobium oxide-based catalysts. The catalysts were prepared from niobium hydrated oxide by calcination at 350°C and 700°C, the latter sample being also modified by boron. The pyrolysis, carried out in duplicates at 600°C, occurred in a micro-pyrolyzer connected to a GC-MS analytical system. The yield in oxygenated products decreased significantly, from 46% in the absence of catalyst to 11% for pyrolysis in the presence of NbB700. With the Nb350 catalyst, a small decrease in nitrogen products (nitriles and amides) from 7% in the absence of catalyst to 6%...
Keyword: Fast pyrolysis, Green diesel, Nannochloropsis oculata, Niobium catalysts

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Mailena Dourado, Noyala Fonseca, Beatrice Mascarenhas, Bianca Gomes, Roger Fréty, Emerson A. Sales "Fast pyrolysis of microalgae Nannochloropsis Oculata for production of green diesel fraction" Vol. 10 - No. 11 (Nov. 2020), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com

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Abstract:

This paper presents a proposed model of Impedance-Sourced Inverter (ZSI) for the Three-Phase PV System which is further connected to the grid. ZSI implements shoot-through mode for controlling output voltage which differs from conventional VSI. Shoot through mode is implementing in ZSI for performing the buck-boost operation on Input Voltage by modification of the conventional PWM Technique. Power Conversion of Single Stage is achieved by the Z-source circuitry. This paper recaps the design of Capacitors and Inductors used in the circuit. Validation of designed parameters is achieved by simulating the PV module in the MATLAB/Simulink platform..
Keyword: PV Module, Z-source Inverter (ZSI), Shoot-through Boost Control

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Diksha Murlidhar Kharat, Prof. Meghraj. S. Morey "PV Connected Z-source Inverter for Grid" Vol. 10 - No. 11 (Nov. 2020), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com

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Abstract:

Today's IoT plays an essential role in our day to day life. This paper thesis deals with the hardware part for monitoring the continuous parameters and speed control part of Induction Motor. In that monitored parameters with the help of sensors is a voltage sensor, current sensor, speed sensor, and temperature sensor. And by controlling the speed part of the induction motor with the help of PWM techniques. By monitoring the parameters of the induction motor, it should help to maintain the before any fault occurs and prevent delay in production, which is the reliability of the induction motor obtained. If there is any fault takes place in the induction motor should be automatically disconnected from the supply by using IoT applications. Also analysis the results in graphical form. simulation perform on Proteus software regarding parameter monitoring And speed control of an induction motor.
Keyword: Induction Motor, Internet of Things, Arduino Uno, Proteus software.

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Ashwini Ashwini B Kaule, M.R.Bachawad "IoT Based Monitoring and Speed Control of an Induction Motor" Vol. 10 - No. 11 (Nov. 2020), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com

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Abstract:

In this research, we will show that neither of the iterative methods always converges. Implying that the Jacobi and Gauss Seidel Methods do not converge often when applied to a system of linear equations yielding a divergent sequence of approximations. In such cases, the method is termed divergent. Therefore for a system of equations to converge, the Diagonal Dominance of the matrix is necessary before applying any iterative method. The error reduction factor will also be discussed in each Iteration in Jacobi and Gauss Seidel method.
Keyword: Iterative Methods, Convergence, Divergence, Diagonal Dominance, Jacobi Method Gauss, Seidel Method.

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AdikuLydia, Raymond Dominic, OgbajiEkaOche "Analysis of Convergence of Jacobi and Gauss Siedel Method and Error Minimization" Vol. 10 - No. 11 (Nov. 2020), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com

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Abstract:

The great demand for Magnetic Resonance Imaging (MRI) in the world of medical field has helped the doctors to analyse and detect relevant disease. MRI is not only an effective technique for the assessment of pathology but also a valuable method for tracking the progression of disease. The ability of MRI to provide rapid 3D visualization has led to extensive use of this technology in the diagnosis and therapy of pathologies of different organs that are then used during treatment. Deep learning algorithm for the initial, intermediate and final stages of knee pain is developed. Clustering technique is commonly used in image segmentation in order for users to access a data image to distinguish common.....
Keyword: pathology;MRI; clustering;CNN;Segmentation

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Siddangouda Hosamani "The Mri Knee Pain Classification Using Cnn Algorithm And Segmentation Using Clustering Algorithm" Vol. 10 - No. 11 (Nov. 2020), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com

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Abstract:

Syamsuddin AB; The Role of Wives in Fishermen's Children in Sinjai Regency, as for the purpose; to find out the role and function of the wife in paying attention to her children when her husband goes out to sea in fishermen's families in Sinjai Regency. While the type of research is qualitative, because the qualitative approach is the source of a broad description and is very solidly based. The results of research on the role and function of the wife when the husband goes to sea, namely; a).Food and Maintaining Harmony, b).Breastfeeding, c).Home atmosphere, d).Independence, e) Game.
Keyword: The Role of a Wife, the Life of an Orderly Child

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Syamsuddin. AB "The Role of the Wife on Fisherman Children in Sinjai District" Vol. 10 - No. 11 (Nov. 2020), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com

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Abstract:

Topology optimization is a simulation driven design technique used for creating an efficient material layout for a given design region, constraints and loading conditions. The goal is to maximize the system's performance while minimizing the weight and meeting other functional requirements. The aim of this work is to optimize an existing aircraft bracket using Topology optimization technique. Topology optimization is performed in Altair Inspire software without using any shape control on the basis of five-volume retentions. Volume is specified as 20%, 30% 40%, 50% and 60% of the total design space volume. Post optimization analysis of all the five optimized geometries is carried out. Finally, one model based on optimum results is selected and the smoothing process is carried out using Polynurbs fit tool. The Final optimized model has a weight reduction of 46% and a significant stress reduction of 28%, 54.4%, 49.8% and 47.7% in vertical, horizontal, oblique and torsional load cases respectively..
Keyword: Aircraft bracket, Design and Non-design space,DFAM, Topology Optimization, Weight reduction

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Mohammed Viquar Mohiuddin, Md Muqtar Ahmed Khan, Syed Ferhatullah Hussainy "Topology Optimization of an Aircraft Bracket Without Shape Control" Vol. 10 - No. 11 (Nov. 2020), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com

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Abstract:

(M)Machine (L)learning is seen as prominent energizing late advancements in Artificial(A) (I)Intelligence. One explanation that works admirably every time a web index such as Google or Bing is used to search at the web is that a learning calculation, one modified by Google or Microsoft, has found out how to rate sites. Each when Facebook is introduced, it perceives the photos of partners, which is also computer research. In text, spam networks spare the user from swimming through huge hundreds of spam electronic mail, which is also a study estimate. In this document, a fast survey and destiny opportunity of the broad utilizations of gadget studying has been made.Intelligence. This is what we use every day in various programmes to learn calculations. Assembling has undergone major modifications....
Keyword: About five key words in alphabetical order, separated by comma.

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Radha Tiwari, Sangita Bharkad "Application of Machine Learning" Vol. 10 - No. 11 (Nov. 2020), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com

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