A Multiscale Simulation Approach for Diesel Particulate Filter Design Based o...Ries Bouwman
The majority of Diesel exhaust gas aftertreatment system design and development
work is done experimentally by means of long and expensive engine bench tests.
The final system configuration is generally the product of a series of experimental
“trial and error” operations. In order to shorten the development process, to reduce
testing costs and to increase the durability of Diesel Particulate Filters (DPFs), multidisciplinary
simulation tools are needed to predict possible failures of the DPF.
Recently, several numerical models have been developed to simulate globally the
soot loading capacity, the pressure drop evolution and the regeneration behaviour in
ceramic wall-flow filters. Less effort has been devoted to the development of
dedicated models for the simulation of the microstructural flow phenomena and
thermo-mechanical behaviour of the filters.
This paper describes the development of a multi-physics software tool based on
OpenFOAM embedded in the DexaSIM Graphical User Interface (GUI) which is able
to handle the evolution of microstructural material properties and complex physical
phenomena inside the filter material as well as response of complete filters under
engine operating conditions.
The modelling approach hence builds on the multiscale link between microstructural
evolution and specific macroscopic exhaust system features with the objective to
achieve major improvements in material design and lifecycle assessment.
A Novel Approach for Ship Recognition using Shape and Texture ijait
Maritime security includes reliable identification of ship entering and leaving a nation’s territorial waters. Sea target detection from remote sensing imagery is very important, with a wide array of applications in areas such as fishery management, vessel traffic services, and naval warfare. Automated systems that could identify a ship could complement existing electronic signal identification methods. A new classification approach using shape and texture is introduced for Ship detection. Texture information can improve classification performance. This approach uses both shape and texture features. Feature extraction is done by Hu’s moment invariants with several classification algorithms. This paper presents an overview of
automatic ship recognition methods with a view towards embedded implementation on optical smart cameras. Therefore this approach may attain a good classification rate.
Development and Implementation of VLSI Reconfigurable Architecture for Gabor ...Dr. Amarjeet Singh
The Gabor filter is a very effective tool in visual
search approaches and multimedia applications. This filter
provides high resolution in time-frequency domains and thus
finds use in object recognition, character recognition and
pattern recognition applications. Medical Image analysis
using image processing algorithms is one of the best ways of
diagnosing diseases inside human body. The Gabor wavelets
resemble the visual cortex cell operation of mammalian
brains and hence are best suited for biological image analysis.
A Tonsillitis detection system is proposed here using Gabor
filtering approach. This system detects the presence of
Tonsillitis from the tonsils images. A suitable VLSI
architecture for the implementation of the Gabor filter was
modeled in Verilog using Xilinx tool and simulated using the
tonsils test images. The proposed system was successful in
detecting the presence of Tonsillitis from the diseased tonsils
image. The complete system was then synthesized and
implemented on FPGA Artix 7. The design was capable of
operating at a maximum frequency of 394.563 MHz.
A Multiscale Simulation Approach for Diesel Particulate Filter Design Based o...Ries Bouwman
The majority of Diesel exhaust gas aftertreatment system design and development
work is done experimentally by means of long and expensive engine bench tests.
The final system configuration is generally the product of a series of experimental
“trial and error” operations. In order to shorten the development process, to reduce
testing costs and to increase the durability of Diesel Particulate Filters (DPFs), multidisciplinary
simulation tools are needed to predict possible failures of the DPF.
Recently, several numerical models have been developed to simulate globally the
soot loading capacity, the pressure drop evolution and the regeneration behaviour in
ceramic wall-flow filters. Less effort has been devoted to the development of
dedicated models for the simulation of the microstructural flow phenomena and
thermo-mechanical behaviour of the filters.
This paper describes the development of a multi-physics software tool based on
OpenFOAM embedded in the DexaSIM Graphical User Interface (GUI) which is able
to handle the evolution of microstructural material properties and complex physical
phenomena inside the filter material as well as response of complete filters under
engine operating conditions.
The modelling approach hence builds on the multiscale link between microstructural
evolution and specific macroscopic exhaust system features with the objective to
achieve major improvements in material design and lifecycle assessment.
A Novel Approach for Ship Recognition using Shape and Texture ijait
Maritime security includes reliable identification of ship entering and leaving a nation’s territorial waters. Sea target detection from remote sensing imagery is very important, with a wide array of applications in areas such as fishery management, vessel traffic services, and naval warfare. Automated systems that could identify a ship could complement existing electronic signal identification methods. A new classification approach using shape and texture is introduced for Ship detection. Texture information can improve classification performance. This approach uses both shape and texture features. Feature extraction is done by Hu’s moment invariants with several classification algorithms. This paper presents an overview of
automatic ship recognition methods with a view towards embedded implementation on optical smart cameras. Therefore this approach may attain a good classification rate.
Development and Implementation of VLSI Reconfigurable Architecture for Gabor ...Dr. Amarjeet Singh
The Gabor filter is a very effective tool in visual
search approaches and multimedia applications. This filter
provides high resolution in time-frequency domains and thus
finds use in object recognition, character recognition and
pattern recognition applications. Medical Image analysis
using image processing algorithms is one of the best ways of
diagnosing diseases inside human body. The Gabor wavelets
resemble the visual cortex cell operation of mammalian
brains and hence are best suited for biological image analysis.
A Tonsillitis detection system is proposed here using Gabor
filtering approach. This system detects the presence of
Tonsillitis from the tonsils images. A suitable VLSI
architecture for the implementation of the Gabor filter was
modeled in Verilog using Xilinx tool and simulated using the
tonsils test images. The proposed system was successful in
detecting the presence of Tonsillitis from the diseased tonsils
image. The complete system was then synthesized and
implemented on FPGA Artix 7. The design was capable of
operating at a maximum frequency of 394.563 MHz.
Video Shot Boundary Detection Using The Scale Invariant Feature Transform and...IJECEIAES
Segmentation of the video sequence by detecting shot changes is essential for video analysis, indexing and retrieval. In this context, a shot boundary detection algorithm is proposed in this paper based on the scale invariant feature transform (SIFT). The first step of our method consists on a top down search scheme to detect the locations of transitions by comparing the ratio of matched features extracted via SIFT for every RGB channel of video frames. The overview step provides the locations of boundaries. Secondly, a moving average calculation is performed to determine the type of transition. The proposed method can be used for detecting gradual transitions and abrupt changes without requiring any training of the video content in advance. Experiments have been conducted on a multi type video database and show that this algorithm achieves well performances.
Investigating material decay of historical buildings using visual analytics w...Beniamino Murgante
Investigating material decay of historical buildings using visual analytics with multi-temporal infrared thermographic data
Urska Demsar, Martin Charlton – National Centre for Geocomputation, National University of Ireland , Maynooth ( Ireland )
Nicola Masini, Maria Danese – Archaeological and monumental heritage institute, National Research Council, Potenza ( Italy )
Intelligent Analysis of Environmental Data (S4 ENVISA Workshop 2009)
Quick textured mesh generation for massive 3D digitization of museum artifacts3D ICONS Project
Gonizzi Barsanti, S., Micoli, L.L., Guidi, G., "Quick textured mesh generation for massive 3D digitization of museum artifacts", 2013 Digital Heritage International Congress (DigitalHeritage), Vol. 1, pp. 197-201, IEEE, 2013. ISBN 978-1-4799-3169-9.
This is the presentation for Tamas Miklovicz thesis work defence in 2017, University of Miskolc. The work summarises the geological 3D modelling of the Recsk Cu-Mo porphyry-skarn deposit and gives a overview on the applicability of CHPM technology (http://www.chpm2030.eu).
The full material is available here: https://drive.google.com/open?id=0B0rhl8Z8xjEoZEx3ek5VVnl0WkU
Microscopic Digital Image Segmentation And feature Extraction of Acute LeukemiaEditor IJCATR
The goal of this paper is to identify and show the
differences in the properties of Acute lymphoblastic leukemia (ALL)
and normal white blood cells. This paper was conducted on a set of
microscopic digital images of blood samples that got it from the
“Oncology Center - Faculty of Medicine - Mansoura University
Hospital - Egypt” is made up of 50 microscope image samples of
Cancerous blood and 50 microscope image of the blood samples is
not Cancerous (normal blood). The microscope blood images are
undergo to chain of pre-processing steps which include resizing
image such as (512*512, 256*256, 128*128) and contrast
enhancement. By executing K-means clustering on the resultant
images, the cell's nucleus under consideration is obtained then these
segmented images enter sub-image stage. The next step is Extracted
Features that included: Shape features (Area, Perimeter,
Compactness, Solidity, Eccentricity, and Elongation); texture features
(Homogeneity, Energy, Correlation, Entropy, and Contrast); color
features and Fractal Dimension
Analysis of the Effect of carbon fiber utilization on Cobalt-60 Teletherapy t...AM Publications
The research about the effect of carbon fiber on cobalt-60 teletherapy type GWXJ80 to the depth dose when gamma rays passed the carbon fiber couch and its effect to the surface dose has been conducted. Depth dose has been measured using ionization detector 0.65cc Extradin A12 model with the buildup cup that is connected to the electrometer Max4000 (Standard Imaging). Depth dose data have been obtained from 5 cm, 6 cm, 7 cm and 9 cm of depth with angle variations of each depth are from 0o - 360o (10o angle interval ). The result of measurement has been processed using TRS398 protocol. The Surface dose measurement were performed using Gafchromic EBT2 film which was placed on the surface of slab phantom with and without carbon fiber. Irradiation field of this measurement were 6x6cm2, 8x8cm2, 10x10cm2, 12x12cm2, 14x14cm2, 16x16cm2 and 18x18cm2. The reading results of optic density using X-RITE densitometer were converted to dose refering the characteristic curve graph of Gafchromic EBT2 that had been prepared. Characteristic curve of the film have been made by giving 25cGy, 50cGy, 100cGy, 150cGy, 200cGy, 250cGy and 300cGy of dose to film strip in 2,5x3cm2 of field. The result of this research showed that in 5cm, 6cm, 7cm, 8cm and 9cm of the depth, can be obtained transmission factors 0.954, 0.952, 0.951, 0.950 and 0.948. A great transmission factor change occured at the gantry angle position at 100o to 120o. Carbon fiber application for the surface dose increased the relative dose from 10.9% into 37.4% (6x6cm2), 16.9% into 48.39% (8x8cm2), 23.0% into 63.3% (10x10cm2), 29.2% into 75.4% (12x12cm2), 33.3% into 80.1% (14x14cm2), 37% into 86.9% (16x16cm2) and 43.3% into 91.2% (18x18cm2).
Different types of Nanolithography technique.
Types: Electron beam lithography, Photolithography, electron-beam writing, ion- lithography, X-ray lithography, and related images, concepts and graphical views.
I hope this presentation helpful for you.
https://www.linkedin.com/in/preeti-choudhary-266414182/
https://www.instagram.com/chaudharypreeti1997/
https://www.facebook.com/profile.php?id=100013419194533
https://twitter.com/preetic27018281
Please like, share, comment and follow.
stay connected
If any query then contact:
chaudharypreeti1997@gmail.com
Thanking-You
Preeti Choudhary
Research on Ship Detection in Visible Remote Sensing Imagesijtsrd
With the continuous development of remote sensing technology and satellite communication technology, the higher is the resolution of remote sensing images, and the richer is information contained in the image. How to obtain information from remote sensing images quickly and accurately is the key problem in the application of remote sensing technology. This paper introduces the automatic detection of ship targets in visible light remote sensing images, analyzes the methods and problems of target detection and semantic segmentation based on deep learning, which improves the accuracy of ship detection. Finally, this paper summarizes the short comings of the existing methods and prospects of the future research trend. Peng Wei | Qian Li | Kaiwen Yang "Research on Ship Detection in Visible Remote Sensing Images" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd35823.pdf Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/35823/research-on-ship-detection-in-visible-remote-sensing-images/peng-wei
This paper presents crack detection in concrete structure based on fuzzy logic. Safety inspection of concrete structures is very important since it is closely related with the structural health and reliability. Automated structural health monitoring system becomes necessity in recent years that encourages various researches to be going on in this area. Cheap availability of digital cameras makes research work in this field easier. This paper presents digital image processing and fuzzy logic based efficient crack detection technique in concrete structure. Here features from digital image of concrete structure are extracted by using morphological image processing technique and then extracted features are fed to fuzzy logic to accurately identify the crack.
It on call provide complete computer & it related services like desktop,laptop & server AMC services. we provide laptop computers, servers repair services.
we provide online technical support like virus removal, spyware removal, anti virus installation.
we provide software support services.
for more details call us at - 011 - 41076333/41088088/9312044244
Video Shot Boundary Detection Using The Scale Invariant Feature Transform and...IJECEIAES
Segmentation of the video sequence by detecting shot changes is essential for video analysis, indexing and retrieval. In this context, a shot boundary detection algorithm is proposed in this paper based on the scale invariant feature transform (SIFT). The first step of our method consists on a top down search scheme to detect the locations of transitions by comparing the ratio of matched features extracted via SIFT for every RGB channel of video frames. The overview step provides the locations of boundaries. Secondly, a moving average calculation is performed to determine the type of transition. The proposed method can be used for detecting gradual transitions and abrupt changes without requiring any training of the video content in advance. Experiments have been conducted on a multi type video database and show that this algorithm achieves well performances.
Investigating material decay of historical buildings using visual analytics w...Beniamino Murgante
Investigating material decay of historical buildings using visual analytics with multi-temporal infrared thermographic data
Urska Demsar, Martin Charlton – National Centre for Geocomputation, National University of Ireland , Maynooth ( Ireland )
Nicola Masini, Maria Danese – Archaeological and monumental heritage institute, National Research Council, Potenza ( Italy )
Intelligent Analysis of Environmental Data (S4 ENVISA Workshop 2009)
Quick textured mesh generation for massive 3D digitization of museum artifacts3D ICONS Project
Gonizzi Barsanti, S., Micoli, L.L., Guidi, G., "Quick textured mesh generation for massive 3D digitization of museum artifacts", 2013 Digital Heritage International Congress (DigitalHeritage), Vol. 1, pp. 197-201, IEEE, 2013. ISBN 978-1-4799-3169-9.
This is the presentation for Tamas Miklovicz thesis work defence in 2017, University of Miskolc. The work summarises the geological 3D modelling of the Recsk Cu-Mo porphyry-skarn deposit and gives a overview on the applicability of CHPM technology (http://www.chpm2030.eu).
The full material is available here: https://drive.google.com/open?id=0B0rhl8Z8xjEoZEx3ek5VVnl0WkU
Microscopic Digital Image Segmentation And feature Extraction of Acute LeukemiaEditor IJCATR
The goal of this paper is to identify and show the
differences in the properties of Acute lymphoblastic leukemia (ALL)
and normal white blood cells. This paper was conducted on a set of
microscopic digital images of blood samples that got it from the
“Oncology Center - Faculty of Medicine - Mansoura University
Hospital - Egypt” is made up of 50 microscope image samples of
Cancerous blood and 50 microscope image of the blood samples is
not Cancerous (normal blood). The microscope blood images are
undergo to chain of pre-processing steps which include resizing
image such as (512*512, 256*256, 128*128) and contrast
enhancement. By executing K-means clustering on the resultant
images, the cell's nucleus under consideration is obtained then these
segmented images enter sub-image stage. The next step is Extracted
Features that included: Shape features (Area, Perimeter,
Compactness, Solidity, Eccentricity, and Elongation); texture features
(Homogeneity, Energy, Correlation, Entropy, and Contrast); color
features and Fractal Dimension
Analysis of the Effect of carbon fiber utilization on Cobalt-60 Teletherapy t...AM Publications
The research about the effect of carbon fiber on cobalt-60 teletherapy type GWXJ80 to the depth dose when gamma rays passed the carbon fiber couch and its effect to the surface dose has been conducted. Depth dose has been measured using ionization detector 0.65cc Extradin A12 model with the buildup cup that is connected to the electrometer Max4000 (Standard Imaging). Depth dose data have been obtained from 5 cm, 6 cm, 7 cm and 9 cm of depth with angle variations of each depth are from 0o - 360o (10o angle interval ). The result of measurement has been processed using TRS398 protocol. The Surface dose measurement were performed using Gafchromic EBT2 film which was placed on the surface of slab phantom with and without carbon fiber. Irradiation field of this measurement were 6x6cm2, 8x8cm2, 10x10cm2, 12x12cm2, 14x14cm2, 16x16cm2 and 18x18cm2. The reading results of optic density using X-RITE densitometer were converted to dose refering the characteristic curve graph of Gafchromic EBT2 that had been prepared. Characteristic curve of the film have been made by giving 25cGy, 50cGy, 100cGy, 150cGy, 200cGy, 250cGy and 300cGy of dose to film strip in 2,5x3cm2 of field. The result of this research showed that in 5cm, 6cm, 7cm, 8cm and 9cm of the depth, can be obtained transmission factors 0.954, 0.952, 0.951, 0.950 and 0.948. A great transmission factor change occured at the gantry angle position at 100o to 120o. Carbon fiber application for the surface dose increased the relative dose from 10.9% into 37.4% (6x6cm2), 16.9% into 48.39% (8x8cm2), 23.0% into 63.3% (10x10cm2), 29.2% into 75.4% (12x12cm2), 33.3% into 80.1% (14x14cm2), 37% into 86.9% (16x16cm2) and 43.3% into 91.2% (18x18cm2).
Different types of Nanolithography technique.
Types: Electron beam lithography, Photolithography, electron-beam writing, ion- lithography, X-ray lithography, and related images, concepts and graphical views.
I hope this presentation helpful for you.
https://www.linkedin.com/in/preeti-choudhary-266414182/
https://www.instagram.com/chaudharypreeti1997/
https://www.facebook.com/profile.php?id=100013419194533
https://twitter.com/preetic27018281
Please like, share, comment and follow.
stay connected
If any query then contact:
chaudharypreeti1997@gmail.com
Thanking-You
Preeti Choudhary
Research on Ship Detection in Visible Remote Sensing Imagesijtsrd
With the continuous development of remote sensing technology and satellite communication technology, the higher is the resolution of remote sensing images, and the richer is information contained in the image. How to obtain information from remote sensing images quickly and accurately is the key problem in the application of remote sensing technology. This paper introduces the automatic detection of ship targets in visible light remote sensing images, analyzes the methods and problems of target detection and semantic segmentation based on deep learning, which improves the accuracy of ship detection. Finally, this paper summarizes the short comings of the existing methods and prospects of the future research trend. Peng Wei | Qian Li | Kaiwen Yang "Research on Ship Detection in Visible Remote Sensing Images" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd35823.pdf Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/35823/research-on-ship-detection-in-visible-remote-sensing-images/peng-wei
This paper presents crack detection in concrete structure based on fuzzy logic. Safety inspection of concrete structures is very important since it is closely related with the structural health and reliability. Automated structural health monitoring system becomes necessity in recent years that encourages various researches to be going on in this area. Cheap availability of digital cameras makes research work in this field easier. This paper presents digital image processing and fuzzy logic based efficient crack detection technique in concrete structure. Here features from digital image of concrete structure are extracted by using morphological image processing technique and then extracted features are fed to fuzzy logic to accurately identify the crack.
It on call provide complete computer & it related services like desktop,laptop & server AMC services. we provide laptop computers, servers repair services.
we provide online technical support like virus removal, spyware removal, anti virus installation.
we provide software support services.
for more details call us at - 011 - 41076333/41088088/9312044244
GPU ACCELERATED AUTOMATED FEATURE EXTRACTION FROM SATELLITE IMAGESijdpsjournal
The availability of large volumes of remote sensing data insists on higher degree of automation in feature extraction, making it a need of the hour. Fusing data from multiple sources, such as panchromatic, hyper
spectral and LiDAR sensors, enhances the probability of identifying and extracting features such as
buildings, vegetation or bodies of water by using a combination of spectral and elevation characteristics.
Utilizing the aforementioned features in remote sensing is impracticable in the absence of automation.
While efforts are underway to reduce human intervention in data processing, this attempt alone may not
suffice. The huge quantum of data that needs to be processed entails accelerated processing to be enabled.
GPUs, which were originally designed to provide efficient visualization, are being massively employed for
computation intensive parallel processing environments. Image processing in general and hence automated feature extraction, is highly computation intensive, where performance improvements have a direct impact on societal needs. In this context, an algorithm has been formulated for automated feature extraction from a panchromatic or multispectral image based on image processing techniques. Two Laplacian of Guassian (LoG) masks were applied on the image individually followed by detection of zero crossing points and
extracting the pixels based on their standard deviation with the surrounding pixels. The two extracted images with different LoG masks were combined together which resulted in an image with the extracted features and edges. Finally the user is at liberty to apply the image smoothing step depending on the noise
content in the extracted image. The image is passed through a hybrid median filter to remove the salt and pepper noise from the image. This paper discusses the aforesaid algorithm for automated feature extraction, necessity of deployment of GPUs for the same; system-level challenges and quantifies the
benefits of integrating GPUs in such environment. The results demonstrate that substantial enhancement in performance margin can be achieved with the best utilization of GPU resources and an efficient
parallelization strategy. Performance results in comparison with the conventional computing scenario have provided a speedup of 20x, on realization of this parallelizing strategy.
Interactive Full-Body Motion Capture Using Infrared Sensor Network ijcga
Traditional motion capture (mocap) has been well-studied in visual science for the last decades. However the field is mostly about capturing precise animation to be used in specific applications after intensive post processing such as studying biomechanics or rigging models in movies. These data sets are normally captured in complex laboratory environments with sophisticated equipment thus making motion capture a
field that is mostly exclusive to professional animators. In addition, obtrusive sensors must be attached to actors and calibrated within the capturing system, resulting in limited and unnatural motion. In recent year the rise of computer vision and interactive entertainment opened the gate for a different type of motion capture which focuses on producing optical markerless or mechanical sensorless motion capture. Furthermore a wide array of low-cost device are released that are easy to use for less mission critical applications. This paper describes a new technique of using multiple infrared devices to process data from multiple infrared sensors to enhance the flexibility and accuracy of the markerless mocap using commodity
devices such as Kinect. The method involves analyzing each individual sensor data, decompose and rebuild
them into a uniformed skeleton across all sensors. We then assign criteria to define the confidence level of
captured signal from sensor. Each sensor operates on its own process and communicates through MPI.
Our method emphasizes on the need of minimum calculation overhead for better real time performance
while being able to maintain good scalability.
AUTOMATED MANAGEMENT OF POTHOLE RELATED DISASTERS USING IMAGE PROCESSING AND ...ijcsit
Potholes though seem inconsequential, may cause accidents resulting in loss of human life. In this paper, we present an automated system to efficiently manage the potholes in a ward by deploying geotagging and image processing techniques that overcomes the drawbacks associated with the existing
survey-oriented systems. Image processing is used for identification of target pothole regions in the 2D
images using edge detection and morphological image processing operations. A method is developed to
accurately estimate the dimensions of the potholes from their images, analyze their area and depth,estimate the quantity of filling material required and therefore enabling pothole attendance on a priority basis. This will further enable the government official to have a fully automated system for e f f e c t i v e l y ma n a g i ng pothole related disasters.
A Three-Dimensional Representation method for Noisy Point Clouds based on Gro...Sergio Orts-Escolano
Slides used for the thesis defense of the PhD candidate Sergio Orts-Escolano.
The research described in this thesis was motivated by the need of a robust model capable of representing 3D data obtained with 3D sensors, which are inherently noisy. In addition, time constraints have to be considered as these sensors are capable of providing a 3D data stream in real time.This thesis proposed the use of Self-Organizing Maps (SOMs) as a 3D representation model. In particular, we proposed the use of the Growing Neural Gas (GNG) network, which has been successfully used for clustering, pattern recognition and topology representation of multi-dimensional data. Until now, Self-Organizing Maps have been primarily computed offline and their application in 3D data has mainly focused on free noise models, without considering time constraints. It is proposed a hardware implementation leveraging the computing power of modern GPUs, which takes advantage of a new paradigm coined as General-Purpose Computing on Graphics Processing Units (GPGPU). The proposed methods were applied to different problems and applications in the area of computer vision such as the recognition and localization of objects, visual surveillance or 3D reconstruction.
Advertisement billboard detection and geotagging system with inductive transf...TELKOMNIKA JOURNAL
In this paper, we propose an approach to detect and geotag advertisement billboard in real-time
condition. Our approach is using AlexNet’s Deep Convolutional Neural Network (DCNN) as a pre-trained
neural network with 1000 categories for image classification. To improve the performance of
the pre-trained neural network, we retrain the network by adding more advertisement billboard images
using inductive transfer learning approach. Then, we fine-tuned the output layer into advertisement
billboard related categories. Furthermore, the detected advertisement billboard images will be geotagged
by inserting Exif metadata into the image file. Experimental results show that the approach achieves
92.7% training accuracy for advertisement billboard detection, while for overall testing results it will give
71.86% testing accuracy.
Interactive full body motion capture using infrared sensor networkijcga
Traditional motion capture (mocap) has been
well
-
stud
ied in visual science for
the last decades
. However
the fie
ld is mostly about capturing
precise animation to be used in
specific
application
s
after
intensive
post
processing such as studying biomechanics or rigging models in movies. These data set
s are normally
captured in complex laboratory environments with
sophisticated
equipment thus making motion capture a
field that is mostly exclusive to professional animators.
In
addition
, obtrusive sensors must be attached to
actors and calibrated within t
he capturing system, resulting in limited and unnatural motion.
In recent year
the rise of computer vision and interactive entertainment opened the gate for a different type of motion
capture which focuses on producing
optical
marker
less
or mechanical sens
orless
motion capture.
Furtherm
ore a wide array of low
-
cost
device are released that are easy to use
for less mission critical
applications
.
This paper
describe
s
a new technique of using multiple infrared devices to process data from
multiple infrared sensors to enhance the flexibility and accuracy of the markerless mocap
using commodity
devices such as Kinect
. The method involves analyzing each individual sensor
data, decompose and rebuild
them into a uniformed skeleton across all sensors. We then assign criteria to define the confidence level of
captured signal from
sensor. Each sensor operates on its own process and communicates through MPI.
Our method emphasize
s on the need of minimum calculation overhead for better real time performance
while being able to maintain good scalability
RECOGNIZING AND TRACKING OUTDOOR OBJECTS BY USING ARTOOLKIT MARKERSijcsit
We created an augmented reality platform for spatial exploration that recognizes buildings facades and displays various multimedia for different time points. In order to provide the user with the best user experience fast recognition and stable tracking are the key elements of any augmented reality app. In an outdoor environment, lighting, reflective surfaces and occlusion can drastically affect the user experience. In a setup where these conditions are similar, marker creation methodology and the app parameters are key. In this paper we focus on resizing the photo prior marker creating and the importance of camera calibration and resolution and their effect on the recognition speed and quality of tracking outdoor objects.
We created an augmented reality platform for spatial exploration that recognizes buildings facades and displays various multimedia for different time points. In order to provide the user with the best user experience fast recognition and stable tracking are the key elements of any augmented reality app. In an outdoor environment, lighting, reflective surfaces and occlusion can drastically affect the user experience. In a setup where these conditions are similar, marker creation methodology and the app parameters are key. In this paper we focus on resizing the photo prior marker creating and the importance of camera calibration and resolution and their effect on the recognition speed and quality of tracking outdoor objects.
Predicting Human Count through Environmental Sensing in Closed Indoor SettingsTarik Reza Toha
Detecting count of human beings accurately in a closed indoor environment is crucial in diverse application areas including search and rescue, surveillance, customer analytics, abnormal event detection, human gait characterization, congestion analysis and many more. Moreover, it has significant importance in preventing any intrusion in a secured indoor space such as a bank vault. Sensors-based technologies (for example camera, PR, etc.) are becoming more popular day by day as the regular methodologies are not good enough to ensure enhanced security in a closed indoor environment. As sensors used in these technologies have to be deployed in visible places, there exist possibilities of damaging the sensors by the intruder. Therefore, this paper proposes a novel methodology to detect human count in such closed indoor setting, which can be deployed in any hidden place. Here, human count is done based on four environmental gaseous parameters (Carbon Dioxide, Liquefied Petroleum Gas or LPG, Nitrogen Dioxide, and Sulfur Dioxide) and two weather parameters (temperature and humidity). Real experiments are done under closed controlled settings and counting is done using machine learning algorithms such as Bagging, Random-Forest, IBK, and J48. We achieve more than 99% accuracy for some of the classifiers in detecting the number of humans present.
Review on Various Algorithm for Cloud Detection and Removal for ImagesIJERA Editor
Clouds is one of the significant obstacles in extracting information from tea lands using remote sensing imagery Different approaches have been attempted to solve this problem with varying levels of success In the past decade, a number of cloud removal approaches have been proposed . In this paper we review and discuss about the cloud detection & removal, need of cloud computing , its principles, and cloud removal process and various algorithm of cloud removal. This paper attempts to give a recipe for selecting one of the popular cloud removal algorithms like The Information Cloning Algorithm, Cloud Distortion Model And Filtering Procedure, Semi-Automated Cloud/Shadow, And Haze Identification And Removal etc. A cloud removal approach based on information cloning is introduced...Using generic interpolation machinery based on solving Poisson equations, a variety of novel tools are introduced for seamless editing of image regions. The patch-based information reconstruction is mathematically formulated as a Poisson equation and solved using a global optimization process. Based on the specific requirements of the project that necessitates the utilization of certain types of cloud detection algorithms is decided
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
Online aptitude test management system project report.pdfKamal Acharya
The purpose of on-line aptitude test system is to take online test in an efficient manner and no time wasting for checking the paper. The main objective of on-line aptitude test system is to efficiently evaluate the candidate thoroughly through a fully automated system that not only saves lot of time but also gives fast results. For students they give papers according to their convenience and time and there is no need of using extra thing like paper, pen etc. This can be used in educational institutions as well as in corporate world. Can be used anywhere any time as it is a web based application (user Location doesn’t matter). No restriction that examiner has to be present when the candidate takes the test.
Every time when lecturers/professors need to conduct examinations they have to sit down think about the questions and then create a whole new set of questions for each and every exam. In some cases the professor may want to give an open book online exam that is the student can take the exam any time anywhere, but the student might have to answer the questions in a limited time period. The professor may want to change the sequence of questions for every student. The problem that a student has is whenever a date for the exam is declared the student has to take it and there is no way he can take it at some other time. This project will create an interface for the examiner to create and store questions in a repository. It will also create an interface for the student to take examinations at his convenience and the questions and/or exams may be timed. Thereby creating an application which can be used by examiners and examinee’s simultaneously.
Examination System is very useful for Teachers/Professors. As in the teaching profession, you are responsible for writing question papers. In the conventional method, you write the question paper on paper, keep question papers separate from answers and all this information you have to keep in a locker to avoid unauthorized access. Using the Examination System you can create a question paper and everything will be written to a single exam file in encrypted format. You can set the General and Administrator password to avoid unauthorized access to your question paper. Every time you start the examination, the program shuffles all the questions and selects them randomly from the database, which reduces the chances of memorizing the questions.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
2. CONTENT
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1) Micro particle Characterization &
methods of particle characterization
2)Introduction to digital holography
3)Holography and hologram
4)Digital in line holographic microscopy
5)Digital hologram processing for particle
measurement
6)Advantage
7)Conclusion
8)References
3. Micro particle Characterization & methods of particle characterization
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particle size, particle shape, and surface area analysis of any particle
larger than 1 micron, but smaller than 1 mm should be called a micro
particle Characterization
5. INTRODUCTION TO DIGITAL HOLOGRAPHY
Digital holography :- Digital holography is an effective 3D technique
with the potential to be used for measurements of the position , size
distribution , and speed of particles or other micro objects
suspended in fluid
Digital holography provides 3D volume information from a single
hologram acquisition. The actual location of particle can be
determined subsequently by reconstructing the recorded hologram
at different depths.
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6. HOLOGRAPHY AND HOLOGRAMS
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Holography is a photographic technique that records the light
scattered from an object, and then presents it in a way that
appears three-dimensional.
8. Digital hologram processing for particle measurement
Steps of hologram processing algorithm :-
a) Numerical reconstruction
b) Image segmentation
c) Localization of a particle
d) Particle size and shape measurements
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10. ADVANTAGE
In comparison with classical film based holography the use of digital
holography is more attractive due to the ease of set up and recording process
using digital camera
It is possible to experiment a phenomena during a long time without
modification of the setup and to compensate
numerically for specimen movements afterwards
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11. CONCLUSIONS
A particle size measurement methodology based on digital holographic
microscopy was presented. The size and shape measurements obtained
using digital holography microscopy show good agreement with the given
size and shape measured using independent techniques the results
obtained in this study extend the potential of digital holography for
applications in particle characterization
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12. REFERENCES
MICROPARTICLE CHARACTERIZATION USING DIGITAL HOLOGRAPHIC
MICROSCOPY
Emmanouil Darakis,Taslima khanam , Arvind rajendran, Vinay kariwala, Thomas j.
naughton , Anand k. asundi
Chemical Engineering science 65(2010)1037-1044
www.elsevier.com/locate/ces
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