Research Inventy provides an outlet for research findings and reviews in areas of Engineering, Computer Science found to be relevant for national and international development, Research Inventy is an open access, peer reviewed international journal with a primary objective to provide research and applications related to Engineering. In its publications, to stimulate new research ideas and foster practical application from the research findings. The journal publishes original research of such high quality as to attract contributions from the relevant local and international communities.
Under the certain circumstances of the low and unacceptable accuracy on image recognition, the feature
extraction method for optical images based on the wavelet space feature spectrum entropy is recently
studied. With this method, the principle that the energy is constant before and after the wavelet
transformation is employed to construct the wavelet energy pattern matrices, and the feature spectrum
entropy of singular value is extracted as the image features by singular value decomposition of the matrix.
At the same time, BP neural network is also applied in image recognition. The experimental results show
that high image recognition accuracy can be acquired by using the feature extraction method for optical
images proposed in this paper, which proves the validity of the method.
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 New Technique of Extraction of Edge Detection Using Digital Image Processing IJMER
Digital image Processing is one of the basic and important tool in the image processing and
computer vision. In this paper we discuss about the extraction of a digital image edge using different
digital image processing techniques. Edge detection is the most common technique for detecting
discontinuities in intensity values. The input image or actual image have some noise that may cause the
of quality of the digital image. Firstly, wavelet transform is used to remove noises from the image
collected. Secondly, some edge detection operators such as Differential edge detection, Log edge
detection, canny edge detection and Binary morphology are analyzed. And then according to the
simulation results, the advantages and disadvantages of these edge detection operators are compared. It
is shown that the Binary morphology operator can obtain better edge feature. Finally, in order to gain
clear and integral image profile, the method of ordering closed is given. After experimentation, edge
detection method proposed in this paper is feasible.
Analysis of Various Image De-Noising Techniques: A Perspective Viewijtsrd
A critical issue in the image restoration is the problem of de noising images while keeping the integrity of relevant image information. A large number of image de noising techniques are proposed to remove noise. Mainly these techniques are depends upon the type of noise present in images. So image de noising still remains an important challenge for researchers because de noising techniques remove noise from images but also introduces some artifacts and cause blurring. In this paper we discuss about various image de noising and their features. Some of these techniques provide satisfactory results in noise removal and also preserving edges with fine details present in images. Noise modeling in images is greatly affected by capturing instruments, data transmission media, image quantization and discrete sources of radiation. Different algorithms are used depending on the noise model. Most of the natural images are assumed to have additive random noise which is modeled as a Gaussian. Speckle noise is observed in ultrasound images whereas Rician noise affects MRI images. The scope of the paper is to focus on noise removal techniques for natural images. Bhavna Kubde | Prof. Seema Shukla "Analysis of Various Image De-Noising Techniques: A Perspective View" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29629.pdfPaper URL: https://www.ijtsrd.com/computer-science/other/29629/analysis-of-various-image-de-noising-techniques-a-perspective-view/bhavna-kubde
Under the certain circumstances of the low and unacceptable accuracy on image recognition, the feature
extraction method for optical images based on the wavelet space feature spectrum entropy is recently
studied. With this method, the principle that the energy is constant before and after the wavelet
transformation is employed to construct the wavelet energy pattern matrices, and the feature spectrum
entropy of singular value is extracted as the image features by singular value decomposition of the matrix.
At the same time, BP neural network is also applied in image recognition. The experimental results show
that high image recognition accuracy can be acquired by using the feature extraction method for optical
images proposed in this paper, which proves the validity of the method.
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 New Technique of Extraction of Edge Detection Using Digital Image Processing IJMER
Digital image Processing is one of the basic and important tool in the image processing and
computer vision. In this paper we discuss about the extraction of a digital image edge using different
digital image processing techniques. Edge detection is the most common technique for detecting
discontinuities in intensity values. The input image or actual image have some noise that may cause the
of quality of the digital image. Firstly, wavelet transform is used to remove noises from the image
collected. Secondly, some edge detection operators such as Differential edge detection, Log edge
detection, canny edge detection and Binary morphology are analyzed. And then according to the
simulation results, the advantages and disadvantages of these edge detection operators are compared. It
is shown that the Binary morphology operator can obtain better edge feature. Finally, in order to gain
clear and integral image profile, the method of ordering closed is given. After experimentation, edge
detection method proposed in this paper is feasible.
Analysis of Various Image De-Noising Techniques: A Perspective Viewijtsrd
A critical issue in the image restoration is the problem of de noising images while keeping the integrity of relevant image information. A large number of image de noising techniques are proposed to remove noise. Mainly these techniques are depends upon the type of noise present in images. So image de noising still remains an important challenge for researchers because de noising techniques remove noise from images but also introduces some artifacts and cause blurring. In this paper we discuss about various image de noising and their features. Some of these techniques provide satisfactory results in noise removal and also preserving edges with fine details present in images. Noise modeling in images is greatly affected by capturing instruments, data transmission media, image quantization and discrete sources of radiation. Different algorithms are used depending on the noise model. Most of the natural images are assumed to have additive random noise which is modeled as a Gaussian. Speckle noise is observed in ultrasound images whereas Rician noise affects MRI images. The scope of the paper is to focus on noise removal techniques for natural images. Bhavna Kubde | Prof. Seema Shukla "Analysis of Various Image De-Noising Techniques: A Perspective View" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29629.pdfPaper URL: https://www.ijtsrd.com/computer-science/other/29629/analysis-of-various-image-de-noising-techniques-a-perspective-view/bhavna-kubde
This paper represents a survey of various methods of video surveillance system which improves the security. The aim of this paper is to review of various moving object detection technics. This paper focuses on detection of moving objects in video surveillance system. Moving body detection is first important task for any video surveillance system. Detection of moving object is a challenging task. Tracking is required in higher level applications that require the location and shape of object in every frame. In this survey,paper described about optical flow method, Background subtraction, frame differencing to detect moving object. It also described tracking method based on Morphology technique.
Keywords -- Frame separation, Pre-processing, Object detection using frame difference, Optical flow,
Temporal Differencing and background subtraction. Object tracking
Three dimensional particle image velocimetrypawankumar9275
Three-dimensional particle image velocimetry for the flows near the wall. A brief introduction to measurement methods in fluid fields in general and imaging methods in particular. A general overview of famous three-dimensional particle imaging methods and detailed description of image velocimetry for the near wall flows
Medical Images are regularly of low contrast and boisterous/Noisy (absence of clarity) because of
the circumstances they are being taken. De-noising these pictures is a troublesome undertaking as they
ought to exclude any antiquities or obscuring of edges in the pictures. The Bayesian shrinkage strategy has
been chosen for thresholding in light of its sub band reliance property. The spatial space and Wavelet
based de-noising systems utilizing delicate thresholding strategy are contrasted and the proposed technique
utilizing GA (Genetic Algorithm) is used. The GA procedure is proposed in view of PSNR and results are
contrasted and existing spatial space and wavelet based de-noising separating strategies. The proposed
calculation gives improved visual clarity to diagnosing the restorative pictures. The proposed strategy in
view of GA surveys the better execution on the premise of the quantitative metric i.e PSNR (Peak Signal
to Noise-Ratio) and visual impacts. Reenactment results demonstrate that the GA based proposed
technique beats the current de-noising separating strategies.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
Geometric wavelet transform for optical flow estimation algorithmijcga
This paper described an algorithm for computing the optical flow (OF) vector of a moving objet in a video sequence based on geometric wavelet transform (GWT). This method tries to calculate the motion between two successive frames by using a GWT. It consists to project the OF vectors on a basis of geometric wavelet. Using GWT for OF estimation has been attracting much attention. This approach takes advantage of the geometric wavelet filter property and requires only two frames. This algorithm is fast and able to estimate the OF with a low-complexity. The technique is suitable for video compression, and can be used for stereo vision and image registration.
An Efficient Image Denoising Approach for the Recovery of Impulse NoisejournalBEEI
Image noise is one of the key issues in image processing applications today. The noise will affect the quality of the image and thus degrades the actual information of the image. Visual quality is the prerequisite for many imagery applications such as remote sensing. In recent years, the significance of noise assessment and the recovery of noisy images are increasing. The impulse noise is characterized by replacing a portion of an image’s pixel values with random values Such noise can be introduced due to transmission errors. Accordingly, this paper focuses on the effect of visual quality of the image due to impulse noise during the transmission of images. In this paper, a hybrid statistical noise suppression technique has been developed for improving the quality of the impulse noisy color images. We further proved the performance of the proposed image enhancement scheme using the advanced performance metrics.
Overview Of Video Object Tracking SystemEditor IJMTER
The goal of video object tracking system is segmenting a region of interest from a video
scene and keeping track of its motion, positioning and occlusion. There are the three steps of video
object tracking system those are object detection, object classification and object tracking. Object
detection is performed to check existence of objects in video. Then the detected object can be
classified in various categories on the basis on their shape, motion, color and texture. Object tracking
is performed using monitoring object changes. This paper we are going to take overview of different
object detection, object classification and object tracking techniques and also the comparison of
different techniques used for various stages of tracking.
A survey on moving object tracking in videoijitjournal
The ongoing research on object tracking in video sequences has attracted many researchers. Detecting
the objects in the video and tracking its motion to identify its characteristics has been emerging as a
demanding research area in the domain of image processing and computer vision. This paper proposes a
literature review on the state of the art tracking methods, categorize them into different categories, and
then identify useful tracking methods. Most of the methods include object segmentation using background
subtraction. The tracking strategies use different methodologies like Mean-shift, Kalman filter, Particle
filter etc. The performance of the tracking methods vary with respect to background information. In this
survey, we have discussed the feature descriptors that are used in tracking to describe the appearance of
objects which are being tracked as well as object detection techniques. In this survey, we have classified
the tracking methods into three groups, and a providing a detailed description of representative methods in
each group, and find out their positive and negative aspects.
The Effect of Carry-over Coarticulation of Disyllabic words in Chineseinventy
In this study, the V-to-V coarticulatory effect in the VCV sequences is investigated. The stimuli are in the form of C1V1.C2V2, which is designed for V1 to affect V2. The subjects are twelve native speakers of standard Chinese, and the F2 onset value, as well as the F2 delta value, is analyzed. Results show that, due to long temporal separation between vowels for the aspirated stops relative to the unaspirated ones, the effect of aspiration is obvious, and in the contexts of aspirated stops, the effect of place of articulation is restrained.
Detection Of Dyslexia From Eye Movements Using Anfis & Bbwpe Feature Extracti...inventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
This paper represents a survey of various methods of video surveillance system which improves the security. The aim of this paper is to review of various moving object detection technics. This paper focuses on detection of moving objects in video surveillance system. Moving body detection is first important task for any video surveillance system. Detection of moving object is a challenging task. Tracking is required in higher level applications that require the location and shape of object in every frame. In this survey,paper described about optical flow method, Background subtraction, frame differencing to detect moving object. It also described tracking method based on Morphology technique.
Keywords -- Frame separation, Pre-processing, Object detection using frame difference, Optical flow,
Temporal Differencing and background subtraction. Object tracking
Three dimensional particle image velocimetrypawankumar9275
Three-dimensional particle image velocimetry for the flows near the wall. A brief introduction to measurement methods in fluid fields in general and imaging methods in particular. A general overview of famous three-dimensional particle imaging methods and detailed description of image velocimetry for the near wall flows
Medical Images are regularly of low contrast and boisterous/Noisy (absence of clarity) because of
the circumstances they are being taken. De-noising these pictures is a troublesome undertaking as they
ought to exclude any antiquities or obscuring of edges in the pictures. The Bayesian shrinkage strategy has
been chosen for thresholding in light of its sub band reliance property. The spatial space and Wavelet
based de-noising systems utilizing delicate thresholding strategy are contrasted and the proposed technique
utilizing GA (Genetic Algorithm) is used. The GA procedure is proposed in view of PSNR and results are
contrasted and existing spatial space and wavelet based de-noising separating strategies. The proposed
calculation gives improved visual clarity to diagnosing the restorative pictures. The proposed strategy in
view of GA surveys the better execution on the premise of the quantitative metric i.e PSNR (Peak Signal
to Noise-Ratio) and visual impacts. Reenactment results demonstrate that the GA based proposed
technique beats the current de-noising separating strategies.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
Geometric wavelet transform for optical flow estimation algorithmijcga
This paper described an algorithm for computing the optical flow (OF) vector of a moving objet in a video sequence based on geometric wavelet transform (GWT). This method tries to calculate the motion between two successive frames by using a GWT. It consists to project the OF vectors on a basis of geometric wavelet. Using GWT for OF estimation has been attracting much attention. This approach takes advantage of the geometric wavelet filter property and requires only two frames. This algorithm is fast and able to estimate the OF with a low-complexity. The technique is suitable for video compression, and can be used for stereo vision and image registration.
An Efficient Image Denoising Approach for the Recovery of Impulse NoisejournalBEEI
Image noise is one of the key issues in image processing applications today. The noise will affect the quality of the image and thus degrades the actual information of the image. Visual quality is the prerequisite for many imagery applications such as remote sensing. In recent years, the significance of noise assessment and the recovery of noisy images are increasing. The impulse noise is characterized by replacing a portion of an image’s pixel values with random values Such noise can be introduced due to transmission errors. Accordingly, this paper focuses on the effect of visual quality of the image due to impulse noise during the transmission of images. In this paper, a hybrid statistical noise suppression technique has been developed for improving the quality of the impulse noisy color images. We further proved the performance of the proposed image enhancement scheme using the advanced performance metrics.
Overview Of Video Object Tracking SystemEditor IJMTER
The goal of video object tracking system is segmenting a region of interest from a video
scene and keeping track of its motion, positioning and occlusion. There are the three steps of video
object tracking system those are object detection, object classification and object tracking. Object
detection is performed to check existence of objects in video. Then the detected object can be
classified in various categories on the basis on their shape, motion, color and texture. Object tracking
is performed using monitoring object changes. This paper we are going to take overview of different
object detection, object classification and object tracking techniques and also the comparison of
different techniques used for various stages of tracking.
A survey on moving object tracking in videoijitjournal
The ongoing research on object tracking in video sequences has attracted many researchers. Detecting
the objects in the video and tracking its motion to identify its characteristics has been emerging as a
demanding research area in the domain of image processing and computer vision. This paper proposes a
literature review on the state of the art tracking methods, categorize them into different categories, and
then identify useful tracking methods. Most of the methods include object segmentation using background
subtraction. The tracking strategies use different methodologies like Mean-shift, Kalman filter, Particle
filter etc. The performance of the tracking methods vary with respect to background information. In this
survey, we have discussed the feature descriptors that are used in tracking to describe the appearance of
objects which are being tracked as well as object detection techniques. In this survey, we have classified
the tracking methods into three groups, and a providing a detailed description of representative methods in
each group, and find out their positive and negative aspects.
The Effect of Carry-over Coarticulation of Disyllabic words in Chineseinventy
In this study, the V-to-V coarticulatory effect in the VCV sequences is investigated. The stimuli are in the form of C1V1.C2V2, which is designed for V1 to affect V2. The subjects are twelve native speakers of standard Chinese, and the F2 onset value, as well as the F2 delta value, is analyzed. Results show that, due to long temporal separation between vowels for the aspirated stops relative to the unaspirated ones, the effect of aspiration is obvious, and in the contexts of aspirated stops, the effect of place of articulation is restrained.
Detection Of Dyslexia From Eye Movements Using Anfis & Bbwpe Feature Extracti...inventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Area Efficient Reconfigurable Fast Filter Bank for Multi-Standard Wireless R...inventy
Research Inventy provides an outlet for research findings and reviews in areas of Engineering, Computer Science found to be relevant for national and international development, Research Inventy is an open access, peer reviewed international journal with a primary objective to provide research and applications related to Engineering. In its publications, to stimulate new research ideas and foster practical application from the research findings. The journal publishes original research of such high quality as to attract contributions from the relevant local and international communities.
Effects of electric field on histopathological study, electrical properties a...inventy
The present work was undertaken in order to investigate the effects of electric field (EF) of strength 50Hz-3KV/m on the histopathology, dielectric properties and liver function tests in albino rats. Fifty male albino rats were equally divided into three groups namely A, B, and C. Animals of group A used as control group which didn't receive any treatment . Animals of group B was divided into two subgroups namely B1 and B2 which were discretely exposed to 50HZ, 3KV/m electric field for a period of 15 day (8 hours/day, 5day/week). Group B2 animals were left to survive and housed at normal environmental conditions similar to control group A for a period of 15 day post exposed. Animals of group C are divided into two subgroups namely C1 and C2 were discretely exposed to the electric field for a period of 30 day (8 hours/day, 5day/week). Group C2 animals were left to survive and housed at normal environmental conditions similar to control group A for a period of 15 day post exposed. At the end of this period, blood and tissues samples were collected from all groups for experimental investigations. The dielectric constant (έ), electrical conductivity (σ) was measured in frequency range 42Hz-5MHz to investigate any changes in liver structure through studding histopathological examination. Also, the liver function was studied through analysis of glutamic oxaloacetic transaminase (GOT), glutamic pyruvie transaminase (GPT) and total protein (TP) after exposure to electric field this biochemical parameters have been evaluated in the blood serum of rats. The obtained results show high significant changes in the value of έ and σ of liver tissues for all groups exposed to EF as compared with control group. The levels of GOT and GPT were increased up to four times their values during the period of exposure to EF. These variations were recovered during two week after stopping exposure but they did not return to its original control values before exposure. On microscopic level; liver histological observations in liver cells which revealed some alterations including hepatic tissue with two portal tracts showing mild florous expansion and a dilated central vein, also ghosts of hepatocytes denoting necrotic changes also shows hepatic tissue with dilated central veins engorged with blood and splitting out to adjacent hepatocytes.
Reduce the False Positive and False Negative from Real Traffic with Intrusion...inventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Chemical Composition And Acridicid Properties Of The Moroccan Tanacetum Annuu...inventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Synthesis and analysis of electrical properties of Lead free Ba3Sr2LaTi3V7O30...inventy
Materials of tungsten-bronze (TB) structure belong to an important family of dielectric materials which are well known for their applications in various electrical devices, such as transducers, actuators, capacitors, and ferroelectric random access memory. The TB structure consists of a framework of distorted BO6 octahedral sharing corners in such a way that three different types of interstices (A, B and C) are available for a wide variety of cations occupying in a general formula (A1)2(A2)4(C)4(B1)2(B2)8O30. Our present work deals with the studies of preparation and characterization of the physical properties of a novel single-phase polycrystalline lead-free vanadate having Tungsten Bronze Structure with compound formula Ba3Sr2LaTi3V7O30.The X-ray diffraction analysis confirms the formation of single-phase compound with orthorhombic structure. The effect of temperature (32- 5000C) and frequency (102–106 Hz) on structural and electrical properties were studied using an impedance analyzer. Detailed studies of impedance parameters provide a better understanding of the electrical properties and type of relaxation processes in the material. The bulk resistance is observed to be decreased with rise in temperature showing a typical negative temperature coefficient of resistance (NTCR) behavior.
Experimental Investigation of a Helical Coil Heat Exchangerinventy
Helical coil heat exchangers are one of the most common equipment found in many industrial applications. Helical coil heat exchanger is one of the devices which are used for the recovery system. The helical coil heat exchangers can be made in the form of a shell and tube heat exchangers and can be used for industrial applications such as power generation, nuclear industry, process plants, heat recovery systems, refrigeration, food industry etc. In our work we had designed, fabricated and experimentally analysed a helical coil heat exchanger and a straight tube heat exchanger. From the observations and calculations, the results of the helical coil heat exchanger and straight tube heat exchanger are obtained and are compared. From our obtained results, the helical coil heat exchanger showed increase in the heat transfer rate, effectiveness and overall heat transfer coefficient over the straight tube heat exchanger on all mass flow rates and operating conditions. The centrifugal force due to the curvature of the tube results in the secondary flow development which enhances the heat transfer rate. Comparative study shows that helical coil heat exchanger is having better performance that straight tube heat exchanger.
-type and -type four dimensional plane wave solutions of Einstein's field eq...inventy
In the present paper, we have studied - type and -type plane wave solutions of Einstein's field equations in general theory of relativity in the case where the zero mass scalar field coupled with gravitational field and zero mass scalar field coupled with gravitational & electromagnetic field and established the existence of these two types of plane wave solutions in . Furthermore we have considered the case of massive scalar field and shown that the non-existence of these two types of plane wave solutions in GR theory.
Communication Skill - a Tool for Rural Women's Empowermentinventy
Background: India is rich in women-power resources. The rural female population is as big as 360 millions but only 31% of them are working population. The rural women, particularly poor, are not exposed themselves though they have talent because they have dearth of communicating skills. Today‟s world is a globalized and technologically progressed world. So the communication skills are today‟s need. Method and Materials: The present study was undertaken to assess the communication skills of rural adolescents young women of nine centers across the country: Dharwad, Hisar, Hydrabad, Ludhiana, Palampur, Panthnagar, Parbhani, Udaipur and Jorhat with a sample of 1,183 young women of age group 15-18+ years. Communication skill scale developed by AICRP(CD) Hyderabad centre was used to assess the communication pattern at home, neighborhood and with authority. The tool was translated to regional language and administered to the adolescents young women in the Balika Kendra / Anganwadi. Educational package was used for intervention which consists of exercises and games for providing inter personal communication to facilitate cooperation and collaboration, to build on ideas by accepting other‟s ideas, awareness and assessment of problem issues prevailing in the immediate surrounding, community issues and larger issues in the country. The content of the packages were presented as films, discussions, interactions, exercises. The results of intervention was assessed through skill index. The educational intervention was provided to rural young women for a period of 18 months with three post-testing with an interval of six months between two testings. Findings: Significant difference between two post-tests was observed which revealed that the intervention was effective in enhancing the communication skills of rural women. It was observed that majority (53.6%) were in low, followed by high (25%) and medium (21.2%) category of communication ability. Due to intervention, A least percentage (21.4%) were in low category and highest (43.4%) were in high category of communication skill. Imparting of communication skills through training to the adolescents women would help them to express their views and needs have better access to community resources, banks and be self-reliant.
COSA and CSA based 32 -bit unsigned multiplerinventy
In this paper, design of two different arraymultipliers are presented, one by using conditional sum (COSA) logic for addition of partial product terms and another by introducing Carry Save Adder (CSA) in partial product lines. The multipliers presented in this paper were all modeled using VHDL (Very High Speed Integration Hardware Description Language) for 32-bit unsigned data. The comparison is done on the basis of three performanceparameters i.e. Area, Speed and Power consumption. To design an efficient integrated circuit in terms of area, power and speed, has become a challenging task in modern VLSI design field. Previously in the literature, performance analysis was carried out between multiplier using Ripple carry adder (RCA) and by using CLA. In this work, same multiplier is designed by using CSA logic and compare it's performance with the multiplier designed by using CSLA logic. Multiplier with CSA gives better result in terms of speed (78.3% improvement), area (reduced by 4.2%) and power consumption (decreased by 1.4%).
The concept of teaching is the fundamental study of student's cognitive action. In this paper a Trapezoidal Fuzzy Assessment model (TFAM) is developed for teaching assessment. The TFAM is a new variation of a special form, which is used in Fuzzy mathematics centre of gravity(COG) defuzzification technique. The TFAM's new idea is the replacement of the rectangles appearing in the graph of the COG method by isosceles trapezoids sharing common parts, thus covering the ambiguous cases of teachers' scores being at the limits between two successive grades (e.g between A and B). A classroom application is also presented in which the outcomes of the COG and TFAM methods are compared with those of other traditional assessment methods (calculation of means and GPA index) and explanations are provided for the differences appeared among these outcomes .
A Dualistic Sub-Image Histogram Equalization Based Enhancement and Segmentati...inventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Rainwater Harvesting Technologies in Makueni County, Kenyainventy
Rainwater harvesting has been in existence for many years and has positively impacted life, agriculture and economy. Despite these known benefits of rainwater harvesting, Makueni County's population is slowly adopting rainwater harvesting technologies. Water scarcity still remains a major constraint to life and economic development in the County. The aim of this paper is to evaluate rainwater harvesting technologies and the factors contributing to adoption of the technologies in the ASAL areas with Makueni County being the case study. The study was conducted in Wanzauni and Itetani locations in Tulimani division, Mbooni West district, Makueni County within Kenya's Eastern Region which lies within the arid and semi arid ecological zones of Kenya. A total of 160 household questionnaires were administered, focus group discussions and key informants interviews done during data collection exercise. The data was analyzed using Statistical package for social scientists (SPSS). Various rainwater harvesting technologies (RWHTs) are used within Makueni County including macro-catchment (earth dams, sand/sub-surface dams), micro-catchment (Zai pits, strip catchment, tillage, contour and semi-circular bunds) and rooftop rainwater harvesting technologies with rooftop catchment being the most commonly used technique. However, adoption of these RWHTs in Makueni County is slow irrespective of their potential to improve livelihoods. A logistic regression analysis was conducted to predict factors affecting adoption of RWHTs within 160 households in Makueni County. Some of the factors found to have statistically-significant positive effect on the adoption of RWHT are gender, literacy levels, social and economic status and technological know-how on RWHT. Ways of promoting the adoption of RWHTs such as capacity building and training, poverty alleviation through enhancement of income generation activities, enhanced formation of community groups aimed at water development activities, and improved designs incorporating mechanized technologies in favour of women and children, are recommended.
Design of CPW-fed Capacitive Coupled Patch Antenna for WiGig Applicationsinventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Control of metabolic activities of E.coli and S. aureus bacteria by Electric ...inventy
Low electric currents generated using conductive electrodes have been used to increase the efficacy of antibiotics against bacterial biofilms, a phenomenon termed “the bioelectric effect” that formed metal ions and free radicals which can inhibit the growth of planktonic Staphylococcus aureus (S.aureus) and Escherichia Coli (E.Coli) the effect is amplitude and frequency dependent, the aim of present study to define the parameters that are most effective against bacterial growth also to investigate the comparative study through inactivation of metabolic activities, growth rate, morphology, bacterial conductivity and antibiotic sensitivity between gram negative E.Coli and gram positive S.aureus bacteria by extremely low frequency electric field (ELF-EF). In this work, the frequency of electric impulses that interfere with the bioelectric signals generated during E.Coli and S.aureus cellular division is investigated in order to compare cell viability, number of colony forming units (CFU) and growth rate (optical density at 600nm) bacterial conductivity and antibiotic susceptibility. Also morphological cellular structure was investigated by transmission electron microscope (TEM). The results revealed that a highly significant inhibition effect occurred when S.aureus and E.Coli was exposed to resonance of 0.8, 0.5 Hz square amplitude modulated waves (QAMW) respectively for 2hours exposure .Moreover, exposed cells became more sensitive to the tested antibiotics compared to control. Significant ultra-structural changes occurred as observed by TEM which indicated morphological changes. It will be concluded that, the use of 0.8, 0.5 Hz QAMW in controlling the biological activity of S.aureus and E.coli respectively seems to be a new and promising medical activity.
Some Natural Herbs in India and Their Effectiveness in Water Purificationinventy
In Ayurveda from ancient time Ocimum Sanctum, AzardirachtaIndica, TriticumAestivum, PhyllanthusEmblica, StrychnosPotatorum etc. natural herbs areproved tobe very useful medicines. Inthe present study effectiveness of these herbs in water purification because of their antibacterial activity is studied.Leaves and fruits of these herbs were dried, extracted and activity was tested by Disc Diffusion Method (Kirby-Bauer Method). In all these herbs maximum removal of E.coli was found at maximum 1% onwards.From the percentage removal of E.coli Ocimum Sanctum was found most effective. 82.15% removal of E.coli was observed for 1% and onward concentration of Ocimum Sanctum
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Effects of Language of the Catchment Area in Learning Kiswahiliinventy
Kiswahili one of the compulsory subjects that is nationally examined but there has been complaints about poor performance in schools. This paper is a report of a study carried out in 2012 in Kapseret Division of Uasin Gishu County. The study assessed the effects of the language of the catchment area in learning Kiswahili. The study was guided by sociocultural theory (SCT) and was descriptive in nature. Simple random sampling was used to select 15 out of 50 schools in Kapseret Division, it was also used to select 20 %(750) of standard six pupils from each of the selected schools. Purposive sampling was used to select 30 upper primary Kiswahili teachers; one class six Kiswahili teacher and a Kiswahili panel head from the selected schools. Data was collected using questionnaires, observation checklists. It was analyzed using descriptive statistical techniques such as percentages and frequencies. The investigation found out Nandi was the language of the catchment area but Kiswahili was used in communication because of different ethnic communities. Kiswahili be used in schools, parents be sensitized to have a positive attitude towards Kiswahili hence changing the learners attitude.
Hardware Unit for Edge Detection with Comparative Analysis of Different Edge ...paperpublications3
Abstract: An edge in an image is a contour across which the brightness of the image changes abruptly. In image processing, an edge is often interpreted as one class of singularities. Edge detection is an important task in image processing. It is a main tool in pattern recognition, image segmentation, and scene analysis. An edge detector is basically a high pass filter that can be applied to extract the edge points in an image. This topic has attracted many researchers and many achievements have been made. Many researchers provided different approaches based on mathematical calculations which some of them are either robust or cost effective. A new algorithm will be proposed to detect the edges of image with increased robustness and throughput. Using this algorithm we will reduce the time complexity problem which is faced by previous algorithm. We will also propose hardware unit for proposed algorithm which will reduce the area, power and speed problem. We will compare our proposed algorithm with previous approach. For image quality measurement we will use some scientific parameters those are PSNR, SSIM, FSIM. Implementation of proposed algorithm will be done by Matlab and hardware implementation will be done by using of Verilog on Xilinx 14.1 simulator. Verification will be done on Model sim.
Performance of Various Order Statistics Filters in Impulse and Mixed Noise Re...sipij
Remote sensing images (ranges from satellite to seismic) are affected by number of noises like interference, impulse and speckle noises. Image denoising is one of the traditional problems in digital image processing, which plays vital role as a pre-processing step in number of image and video applications. Image denoising still remains a challenging research area for researchers because noise
removal introduces artifacts and causes blurring of the images. This study is done with the intension of designing a best algorithm for impulsive noise reduction in an industrial environment. A review of the typical impulsive noise reduction systems which are based on order statistics are done and particularized for the described situation. Finally, computational aspects are analyzed in terms of PSNR values and some solutions are proposed.
The objective of this paper is to present the hybrid approach for edge detection. Under this technique, edge
detection is performed in two phase. In first phase, Canny Algorithm is applied for image smoothing and in
second phase neural network is to detecting actual edges. Neural network is a wonderful tool for edge
detection. As it is a non-linear network with built-in thresholding capability. Neural Network can be trained
with back propagation technique using few training patterns but the most important and difficult part is to
identify the correct and proper training set.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
IMPROVED EDGE DETECTION USING VARIABLE THRESHOLDING TECHNIQUE AND CONVOLUTION...sipij
Medical Field, Robotic vision, Pattern recognition, Hurdle detection, and smart city are examples of areas that require image processing to achieve automation. Detecting an edge is an important stage in any computer vision application. The performance of the edge detecting algorithm is largely affected by the
noise present in an image. An Image with a low signal-to-noise ratio (SNR), imposes a challenge to locate its edges. To improve the observable image boundaries, an adaptive filtering technique is proposed in this article. The proposed algorithm uses convolution of Gabor filter with Gaussian (GoG) operator to clean
the noise before non-Maxima suppression. Furthermore, using variable hysteresis thresholding can further improve edge locating. The implementation of the algorithm was done by Python and Matlab. The obtained
results were compared to a number of reviewed algorithms such as the Canny method, Laplacian of Gaussian, The Marr-Hildreth method, Sobel operator, and the Haar wavelet-based method. Three performance factors were used; PNSR, MSE, and processing time. The simulation result shows that the proposed method has higher PNSR, lower MSE, and shorter processing time when compared to the Canny detector, the Marr-Hildreth, Haar wavelet-based, Laplacian of Gaussian, and the Sobel operator methods. The higher PNSR, lower MSE, and shorter processing time mean improved edge details of the processed image.
Improved Edge Detection using Variable Thresholding Technique and Convolution...sipij
Medical Field, Robotic vision, Pattern recognition, Hurdle detection, and smart city are examples of areas
that require image processing to achieve automation. Detecting an edge is an important stage in any
computer vision application. The performance of the edge detecting algorithm is largely affected by the
noise present in an image. An Image with a low signal-to-noise ratio (SNR), imposes a challenge to locate
its edges. To improve the observable image boundaries, an adaptive filtering technique is proposed in this
article. The proposed algorithm uses convolution of Gabor filter with Gaussian (GoG) operator to clean
the noise before non-Maxima suppression. Furthermore, using variable hysteresis thresholding can further
improve edge locating. The implementation of the algorithm was done by Python and Matlab. The obtained
results were compared to a number of reviewed algorithms such as the Canny method, Laplacian of
Gaussian, The Marr-Hildreth method, Sobel operator, and the Haar wavelet-based method. Three
performance factors were used; PNSR, MSE, and processing time. The simulation result shows that the
proposed method has higher PNSR, lower MSE, and shorter processing time when compared to the Canny
detector, the Marr-Hildreth, Haar wavelet-based, Laplacian of Gaussian, and the Sobel operator methods.
The higher PNSR, lower MSE, and shorter processing time mean improved edge details of the processed
image.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Computationally Efficient Methods for Sonar Image Denoising using Fractional ...CSCJournals
Sonar images produced due to the coherent nature of scattering phenomenon inherit a multiplicative component called speckle and contain almost homogeneous as well as textured regions with relatively rare edges. Speckle removal is a pre-processing step required in applications like the detection and classification of objects in the sonar image. In this paper computationally efficient Fractional Integral Mask algorithms to remove the speckle noise from sonar images is proposed. Riemann- Liouville definition of fractional calculus is used to create Fractional integral masks in eight directions. The use of a mask incorporated with the significant coefficients from the eight directional masks and a single convolution operation required in such case helps in obtaining the computational efficiency. The sonar image heterogeneous patch classification is based on a new proposed naive homogeneity index which depends on the texture strength of the patches and despeckling filters can be adjusted to these patches. The application of the mask convolution only to the selected patches again reduce the computational complexity. The non-homomorphic approach used in the proposed method avoids the undesired bias occurring in the traditional homomorphic approach. Experiments show that the mask size required directly depends on the fractional order. Mask size can be reduced for lower fractional orders thus ensuring the computation complexity reduction for lower orders. Experimental results substantiate the effectiveness of the despeckling method. The different non reference image performance evaluation criterion are used to evaluate the proposed method.
The Journal of MC Square Scientific Research is published by MC Square Publication on the monthly basis. It aims to publish original research papers devoted to wide areas in various disciplines of science and engineering and their applications in industry. This journal is basically devoted to interdisciplinary research in Science, Engineering and Technology, which can improve the technology being used in industry. The real-life problems involve multi-disciplinary knowledge, and thus strong inter-disciplinary approach is the need of the research.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
ALGORITHM AND TECHNIQUE ON VARIOUS EDGE DETECTION: A SURVEYsipij
An edge may be defined as a set of connected pixels that forms a boundary between two disjoints regions.
Edge detection is basically, a method of segmenting an image into regions of discontinuity. Edge detection
plays an important role in digital image processing and practical aspects of our life. .In this paper we
studied various edge detection techniques as Prewitt, Robert, Sobel, Marr Hildrith and Canny operators.
On comparing them we can see that canny edge detector performs better than all other edge detectors on
various aspects such as it is adaptive in nature, performs better for noisy image, gives sharp edges , low
probability of detecting false edges etc
IJRET-V1I1P2 -A Survey Paper On Single Image and Video Dehazing MethodsISAR Publications
Most of the computer applications use digital images. Digital image processing acts an important
role in the analysis and interpretation of data, which is in the digital form. Images taken in foggy
weather condition often suffer from poor visibility and clarity. After the study of several fast
dehazing methods like Tan’s dehazing technique, Fattal’s dehazing technique and aiming Heat al
dehazing technique, Dark Channel Prior (DCP) intended by He et al is most substantive technique
for dehazing.This survey aims to study about various existing methods such as polarization, dark
channel prior, depth map based method etc. are used for dehazing.
A Review over Different Blur Detection Techniques in Image Processingpaperpublications3
Abstract: In last few years there is lot of development and attentions in area of blur detection techniques. The Blur detection techniques are very helpful in real life application and are used in image segmentation, image restoration and image enhancement. Blur detection techniques are used to remove the blur from a blurred region of an image which is due to defocus of a camera or motion of an object. In this literature review we represent some techniques of blur detection such as Blind image de-convolution, Low depth of field, Edge sharpness analysis, and Low directional high frequency energy. After studying all these techniques we have found that there are lot of future work is required for the development of perfect and effective blur detection technique.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Experimental Investigation of a Household Refrigerator Using Evaporative-Cool...inventy
The objective of this paper was to investigate experimentally the effect of Evaporative-cooled condenser in a household refrigerator. The experiment was done using HCF134a as the refrigerant. The performance of the household refrigerator with air-cooled and Evaporative-cooled condenser was compared for different load conditions. The results indicate that the refrigerator performance had improved when evaporative-cooled condenser was used instead of air-cooled condenser on all load conditions. Evaporativecooled condenser reduced the energy consumption when compared with the air-cooled condenser. There was also an enhancement in coefficient of performance (COP) when evaporative-cooled condenser was used instead of air-cooled condenser. The Evaporative cooled heat exchanger was designed and the system was modified by retrofitting it, instead of the conventional air-cooled condenser by making drop wise condensation using water and forced circulation over the condenser. From the experimental analysis it is observed that the COP of evaporative cooled system increased by 13.44% compared to that of air cooled system. So the overall efficiency and refrigerating effect is increased. In minimum constructional, maintenance and running cost, the system is much useful for domestic purpose. This study also revealed that combining a evaporative cooled system along with conventional water cooled system under the condition that the defrost water obtained from the freezer is used for drop wise condensation over condenser and water cooled condensation of the condenser at the bottom using remaining defrost water would reduce the power consumption, work done and hence further increase in refrigerating effect of the system. The study has shown that such a system is technically feasible and economically viable
Copper Strip Corrossion Test in Various Aviation Fuelsinventy
This research work takes in to account of corrosiveness test on various aviation fuels in the state of Telengana (India). The purpose of this experiment is to determine the corrosiveness test of fuels. This determination will be accomplished by using copper strip corrosion test by using the copper strip experiment we can determine the corrosive property of the fuel and hence the efficiency of fuel. The research covers the importance of knowing the corrosive property of different petroleum fuels including aviation turbine fuel.
Additional Conservation Laws for Two-Velocity Hydrodynamics Equations with th...inventy
A series of the differential identities connecting velocities, pressure and body force in the twovelocity hydrodynamics equations with equilibrium of pressure phases in reversible hydrodynamic approximation is obtaned.
Comparative Study of the Quality of Life, Quality of Work Life and Organisati...inventy
People’s lives are increasingly centred on work; they spend at least one-third of their time within the organisations that employ them. Investigating the factors that interfere with employees’ well-being and the organisational environment is becoming an increasing concern in organisations. This article identifies the criteria of the quality of life (QoL), quality of working life (QWL) and organisational climate instruments to point out their similarities. For bibliographic construction and data research, articles were sought in national and international journals, books and dissertations/articles in SciELO, Science Direct, Medline and Pub Med databases. The results show direct relationships amongst QoL, QWL and organisational climate instruments. The relationship between QoL and QWL instruments is based on fair compensation, social interaction, organisational communication, working conditions and functional capacity. QWL and organisational climate instruments are related through social interaction and interfaces. QoL and organisational climate instruments are related based on social interaction, organisational communication, and work conditions.
A Study of Automated Decision Making Systemsinventy
The decision making process of many operations are dependent on analysing very large data sets, previous decisions and their results. The information generated from the large data sets are used as an input for making decisions. Since the decisions to be taken in day to day operations are expanding, the time taken for manual decision making is also expanding. In order to reduce the time, cost and to increase the efficiency and accuracy, which are the most important things for customer satisfaction, many organisations are adopting the automated decision making systems. This paper is about the technologies used for automated decision making systems and the areas in which automated decisions systems works more efficiently and accurately.
Crystallization of L-Glutamic Acid: Mechanism of Heterogeneous β -Form Nuclea...inventy
The mechanism of heterogeneous nucleation of β-form L-glutamic acid was deeply investigated in cooling crystallization. The present study found that the β-form crystals were epitaxially grown on the α-form crystals and they were preferably crystallized on the (011) and (001) surfaces instead of the (111) surfaces of α- form crystals. This result was explained via the molecular simulation. The molecular simulation indicated that the different surfaces of α-form crystals provided different functional groups, resulting in different sites for the heterogeneous nucleation of β-form crystals. Here, the functional group were COO- , C=O and O-H on the (011) and (001) surfaces of α-form crystals, respectively, while it was the NH3 + on the (111) surfaces of α-form crystals. As such, the degree of lattice matching (E) between the β-form crystals and the various surfaces of α- form crystal was distinguished, where the degree of lattice matching (E) between the β-form crystals and the (011), (001) and (111) surfaces of α-form crystal were estimated as 5.30, 5.25 and 2.39, respectively, implying that the (011) and (001) surfaces of α-form crystal were more favorable to generate the heterogeneous nucleation of β-form crystals than the (111) surfaces of α-form crystal
Evaluation of Damage by the Reliability of the Traction Test on Polymer Test ...inventy
In recent decades, polymers have undergone a remarkable historical development and their use has been greatly imposed by gradually dethroning most of the secular materials. These polymer materials have always distinguished themselves by their simple shaping and inexpensive price, their versatility, lightness, and chemical stability but despite their massive use in everyday life as well as in advanced technologies. Generally, these materials still not understood which requires a thorough knowledge of their chemical, physical, rheological and mechanical properties. This paper, we study the mechanical behavior of an amorphous polymer: Acrylonitrile Butadiene Styrene “ABS” by means of uniaxial tensile testing on pierced test pieces with different notch lengths ranging between 1 to 14mm.The proposed approach consists in analyzing the evolution of the global geometry of the obtained strain curves by taking into account the zones and characteristic points of these curves as well as the effect of the damage on the mechanical behavior of the polymer ABS, in order to visualize the evolution of the damage by a static model
Application of Kennelly’model of Running Performances to Elite Endurance Runn...inventy
: The model of Kennelly between distance (Dlim) and exhaustion time (tlim) has been applied to the individual performances of 19 elite endurance runners (World-record holders and Olympic winners) from P. Nurmi (1920-1924) to M. Farah (2012) whose individual best performances on several different distances are known. Kennelly’s model (Dlim = k tlim ) can describe the individual performances of elite runners with a high accuracy (errors lower than 2 %). There is a linear relationship between parameters k and exponents of the elite runners and the extreme values correspond to S. Coe (k = 15.8; = 0.851) and E. Zatopek (k = 6.57; = 0.984). Exponent can be considered as a dimensionless index of aerobic endurance which is close to 1 in the best endurance runners. If it is assumed than maximal aerobic speed can be maintained 7 min in elite endurance runners, exponent is equal to the normalized critical speed (critical speed/maximal aerobic speed) computed from exhaustion times equal to 3 and 12.5 min in these runners.
Development and Application of a Failure Monitoring System by Using the Vibra...inventy
In this project, a failure monitoring system is developed by using the vibration and location information of balises in railway signaling. A lot of field equipment in railway are loosening and broken in time period so that they need maintenance due to the vibrations that occur due to high speed trains traffic and railway vehicles impact. Among the field equipment, balises have very important role of communication in terms of transmitting information to trains. In this scope, it is aimed to make maintenance works more efficient, have no delayed trains, detect previously failure location and intervene in failure timely, by detecting and controlling balise cases such as loosening, out of place and the data consistency error that happens because of balise physical state. In this project, the communication is provided with I2C, Modbus RTU (Remote Terminal Unit) and RS485 standards by using Arduino Uno cards and MPU6050 IMU (Inertial Measurement Unit) sensors in laboratory. Each used sensors are in slave mode and computer interface designed with C# is in master mode. Fault situations in the system are checked instant by the interface. (it is assumed to mount the IMU sensor and the Arduino circuit on the balise) it is seen that the interface responds to the sensor movements instant and the system works well in the end of test processes.
The Management of Protected Areas in Serengeti Ecosystem: A Case Study of Iko...inventy
The study assessed the management of protected areas in Serengeti ecosystem using the case of IGGRs. Specifically, the study aimed at identifying the strategies used for natural resources management; examining the impacts of those strategies; examining the hindrances of the identified strategies; and lastly, examining the methods for scaling up the performance of strategies used for natural resources in the study area. The study involved two villages among 31 villages bordering IGGRs where in each village; at least 5% of the households were sampled. Both Primary data and secondary data were collected and analyzed both manually and computer by using SPSS software. The study revealed that, study population ranked IGGRs performance on protection of natural resources, especially on conserving wildlife for future generation and in reducing poaching to be good(53.3%). In addition, the relationship with IGGRs was said to be considerable good (46.7%). In the aspect of reducing poaching, the findings show that poaching has been reduced by 96.2% from 2009 to 2012. Furthermore, 81.4% of respondents said they use different strategies to control loss of natural resources which in turn has considerably improved the relationship between protected areas and the surrounding communities in some of the aspects. Despite of above successes, the study findings has revealed a number of challenges that hinders the full attainment of conservation objectives. Among the challenges are loss of life and properties (86.4%), shortage of water for livestock (68.9%) since water sources such as Grumeti and Rubana rivers are within protected area while the adjacent local communities do not have a free access to those water sources. Other challenges especially on the IGGRs management include insufficient fund base, working facilities and inadequate staffs. Based on the above findings, the study concluded that the strategies used for natural resources management of protected areas in Serengeti ecosystem is fairly sustainable and need functional participatory approaches of local people and other stakeholders in order to bring about a collaborative natural resources management network in the ecosystem. Furthermore, based on the findings above, equity in benefit sharing accrued from natural resource management in protected areas, more financial support to IGGRs and local community, the use of non-lethal deterrents for crop protection, integration of croplivestock production systems, adoption of land use plans as a solution to land conflicts, strengthens of community based conservation (CBC), adoption of modern information technology such as geographical information system (GIS) and remote sensing are recommended.
Size distribution and biometric relationships of little tunny Euthynnus allet...inventy
This study is taken from data of commercial fishing of the little tunny, Euthynnus alletteratus (Rafinesque, 1810) caught in the Algerian coast, sampled between november 2011 and april 2016. Data were collected in order to determine size distributions of the population and biometric relationships of species including the size - weight relationships. A total of 601 fish ranged from 30.9 and 103 cm fork length (FL) were observed. The size distribution of Euthynnus alletteratus shows multiple modal values witch the most important cohort corresponds to the age class 2 (42-46 cm). The value of the allometric coefficient (b) of the FL/TW relationship is lower than 3, indicating a negative allometric growth.
Removal of Chromium (VI) From Aqueous Solutions Using Discarded Solanum Tuber...inventy
Industrial polluting effluents containing heavy metals are of serious environmental concern in India. Chromium is frequently used in industries like electroplating, metal finishing, cooling towers, dyes, paints, anodizing and leather tanning and is found as traces in effluents finding their way to natural water bodies causing hazardous toxicity to the health of humans, animals and aquatic lives directly or indirectly. Many methods for the removal of Chromium such as chemical reduction, precipitation, ion exchange, electrochemical reduction, evaporation, reverse osmosis and adsorption using activated carbon etc. have been reported but all being expensive and complicated to operate. Experimental practices reveal that adsorption by agricultural and horticultural wastes are quite simple, inexpensive and efficient method. Agra is famous for Potato farming, a lot of discarded potato waste from cold storages is thrown along road side drains causing solid waste generated which either creates solid waste disposal problem or otherwise it finds way to Yamuna river resulting high BOD and posing a serious threat to the aquatic environment. For developing countries like India adsorption studies using discarded potato (Solanum tuberosum) waste from cold storages (DPWC) a solid waste as low cost adsorbent for Chromium removal was dual beneficial i.e., an ideal solution to these solid wastes disposal problem of Agra and removal of Chromium from tannery effluents and thereby saving aquatic life from Chromium contamination in Yamuna river. Keeping this in view batch experiments were designed to study the feasibility of discarded potato waste from cold storages to remove chromium (VI) from the aqueous solutions. During the study various affecting parameters, such as pH, adsorbent does, initial concentration, temperature, contact time, adsorbent grain size and start up agitation speed were optimized as 5.0, 10-20 g/l, 50 mg/l, 250C, 135 minutes, average size and 80 rpm respectively on chromium removal efficiency. Various Isotherms such as Langmuir, Freundlich, Tempkin also fitted suitably and various corresponding constants determined from these Isotherms favor and support the adsorption. Thermodynamic constants ∆G, ∆H and ∆S were found to be 0.267 KJ/mole, 0.288 KJ/mole and 0.0013 KJ/mole respectively.
Effect of Various External and Internal Factors on the Carrier Mobility in n-...inventy
The effect of various external (temperature, electric field, light) and intracrystalline (doping, initial resistivity) factors on the mobility of carriers in layered n-InSe semiconductor experimentally have been investigated. Scientific explanations of the results are proposed
Transient flow analysis for horizontal axial upper-wind turbineinventy
This study is to carry out a transient flow field analysis on the condition that the wind turbine is working to generate turbine, the wind turbine operating conditions change over time, Purpose of this study is try to find out the rule from the wind turbine changing over time . In transient analysis, the wind velocity on inlet boundary and rotation speed in the rotor field will change over time, and an analytical process is provided that can be used for future reference. At present, the wind turbine model is designed on the concept of upwind horizontal axis type. The computer engineering software GH Bladed is used to obtain the relationship between the rotor velocity and the wind turbine. Then the ANSYS engineering software is used to calculate the stress and strain distribution in the blades over time. From the analytical result, the relationship between the stress distribution in the blades and the rotor velocity is got to be used as a reference for future wind turbine structural optimization.
Choice of Numerical Integration Method for Wind Time History Analysis of Tall...inventy
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Improvement of Weld Images using MATLAB –A Review
1. Research Inventy: International Journal Of Engineering And Science
Vol.5, Issue 4 (April 2015), PP 16-22
Issn (e): 2278-4721, Issn (p):2319-6483, www.researchinventy.com
16
Improvement of Weld Images using MATLAB –A Review
1
A.P.Nagarajan., 2
Christy V.Vazhappilly, 3
Sukesh O.P., 4
Vivek Rajdhan J.,
5
Rajavelu.S., 6
Prashanthkumar.S.
1
Assistant Professor, Dept.Of Mechanical Engineering, Tamilnadu College of Engineering, Tamil Nadu, India.
2,3
Assistant Professors, Dept.Of Mechanical Engineering, Jyothi Engineering College, Kerala, India.
4, 5,6
PG-Scholars, Dept.Of Mechanical Engineering, Kumaraguru College of Technology, Tamil Nadu, India.
Abstract :- In recent years, gamma rays are been used as an improvement method or a tool along with the
combination of image processing technique. It has been giving out better result in the detection of any flaws, or
hole in case of the weld metal images and they are being adapted and improved ever since. Image processing is
the vast area that has its roots in various fields and some of the important areas, where they have been used are
in x-ray image, gamma rays and biometrics (iris & fingerprint) using the template matching technique. The
radiography test is done using gamma rays for the given input expecting to display the places that has been
affected or the ones with flaws in case of a welded metal, using the met lab technique, such as fuzzy and edge
detection methodologies along with the filtering process called a gabor filter which is expected to provide
corresponding result which is known as a film that is to give better output. The fuzzy technique is the one that
has the attention as of know by all the researches since is known exact result like true or false value it can
instead provide a degree of results sounds in between range of values as into help with detection of flaws and
noises like the salt and pepper (black and white) error that appears in the image (weld image) this type of error
may reduce the quality of weld metal image with a usage of fuzzy method the degree of errors are stated. The
edge detection is another technique in image processing that detects the outer surface of the weld image
perfectly like the active contours and canny operators, along with its own method and pre-processing are
smoothing while segmentation is used to state the different region of the image and how they are split and are
helpful to define the region that are with defects. The Gabor filter that is used in edge detection is said filter how
the defects of the weld image that is given.
Keywords: - Radiographic images, Image processing, MATLAB
I. INTRODUCTION
I.1 Radiography testing
Radiography is a Non Destructive Testing method to find out internal discontinuities present in a
component or assembly. It is based on differential absorption of penetrating radiation by the part being
inspected. A radiograph is a photographic record produced by the passage of x-rays or gamma rays through a
test specimen on to a film, the radiography with x and gamma rays are called conventional radiography. It is
most widely practiced by industry for quality control of welds, casting and assemblies.
I.2 Gamma Rays
Gamma rays are produced by natural and artificial radioactivity. Natural radio activity was discovered
by Henri Bequeral in 1896. The phenomenon of spontaneous emission of powerful radiations exhibited by
heavy elements is called radio activity. Those elements which exhibit thus activity arc called radioactive
elements. Eg: uranium, Polonium, Radium, Radon, Thorium, 10 Actinum and mesothorium.
Radio activity is confined almost entirely to the heaviest element from 83 to 106. The phenomenon of
spontaneous emission of highly penetrating radiations from heavy elements of atomic weights greater than about
206, occurring in nature, is called natural radio activity. The elements which exhibit this property are called
radioactive elements. The atoms of radioactive elements emit radiations composed of three distinct kinds of rays
electric and magnetic fields etc., Radio activity induced in an element by bombarding it with particles neutrons,
protons and other particles or radiation is called artificial radio activity. The artificial radioactive elements
usually, but not always, have short life times. They emit electrons/positions and gamma rays.
2. Improvement of Weld Images using MATLAB –A Review
17
Figure.1. Instrumental Setup
II. EXPERIMENTAL PROCEDURE
II.1 Image Formation
i) Penetration & Differential Absorption
X-and gamma rays posses the capability of penetrating materials, even those that are opaque to light. In passing
through matter, some of those rays are absorbed. The amount of absorption at any point is dependent upon the thickness and
density of the matter at that point; therefore the intensity of the rays emerging from the matter varies. When this variation is
detected and recorded, usually on film, a means of seeing within the material is available.
Figure.2. Source 1
Radiography consists of using the penetration and differential absorption characteristics of radiant
energy to examine material for internal discontinuities. Figure.4 illustrates the absorption characteristics of
radiation as used in the radiographic process. The specimen absorbs radiation but, where it is thin or where there
is a void, less absorption takes place. The latent image produced in the film, as the result of the radiation passing
through the specimen, when the film is processed. Since more radiation passes through the specimen, in the thin
and void areas, the corresponding areas of the film are darker.
Figure.3. Source2
3. Improvement of Weld Images using MATLAB –A Review
18
II.2 Image Processing
i) Filter (Signal Processing)
Filter is a device or process that removes from a signal some unwanted component or feature. Filtering
is a class of signal processing, the defining feature of filters being the complete or partial suppression of some
aspect of the signal. Most often, this means removing some frequencies and not others in order to suppress
interfering signals and reduce background noise. However, filters do not exclusively act in the frequency
domain; especially in the field of image processing many other targets for filtering exist. Correlations can be
removed for certain frequency components and not for others without having to act in the frequency domain.
There are many different bases of classifying filters and these overlap in many different ways; there is
no simple hierarchical classification. Filters may be:
Linear or non-linear
Time-invariant or time-variant, also known as shift invariance. If the filter operates in a spatial domain
then the characterization is space invariance.
Causal or not-causal: depending if present output depends or not on "future" input; of course, for time
related signals processed in real-time all the filters are causal; it is not necessarily so for filters acting
on space-related signals or for deferred-time processing of time-related signals.
Analog or digital
Discrete-time (sampled) or continuous-time
Passive or active type of continuous-time filter
Infinite impulse response (IIR) or finite impulse response (FIR) type of discrete-time or digital filter.
ii) Edge Detection
Edge detection provides an intrinsically more rigorous means than thresholding for initiating image
segmentation. However there is a large history of ad hoc edge detection algorithms, In fact edge detection has
long been an alternative path to image segmentation and is the method pursued whichever way is inherently the
better approach, edge detection has the additional advantage in that it immediately reduces by a large factor the
considerable redundancy of most image data.
Edge detection is the name for a set of mathematical methods which aim at identifying points in a
digital image at which the image brightness changes sharply or, more formally, has discontinuities. The points at
which image brightness changes sharply are typically organized into a set of curved line segments termed edges.
The same problem of finding discontinuities in 1D signal is known as step detection and the problem of finding
signal discontinuities over time is known as change detection. Edge detection is a fundamental tool in image
processing, machine vision and computer vision, particularly in the areas of feature detection and feature
extraction.
The purpose of detecting sharp changes in image brightness is to capture important events and changes
in properties of the world. It can be shown that under rather general assumptions for an image formation model,
discontinuities in image brightness are likely to correspond to
discontinuities in depth,
discontinuities in surface orientation,
changes in material properties and
Variations in scene illumination.
III. RESULTS AND DISCUSSIONS
III.1 Method of data analysis
In the paper, the images are analyzed in quantitative way using the computer, with the platform of
MATLAB.
Image processing toolbox™ in MATLAB provides a comprehensive set of reference standard
algorithms and graphical tools for image processing, analysis, visualization, and algorithm development.
It can perform image enhancement, image deblurring, feature detection, noise reduction, image
segmentation, geometric transformations, and image registration.
4. Improvement of Weld Images using MATLAB –A Review
19
III.1.1) Main work
During this section, it devotes to find an appropriate image processing technique to apply in welding
inspection, which helps for practitioners of the welding industry to improve inspection efficiency of defects
recognition. On the other hand, the fact is that general and traditional image processing technology can’t solve
all the problems. It contributes to propose the improved image processing theory or algorithm to solve some the
difficulties, which is regarded very useful for academics working with image processing because the
development of image processing theory or algorithm can be further studied by those academics to use and
apply widely in other areas.
During our experiments research, we main task is to answer how image segmentation and image
enhancement applied in welding inspection and which one of these two shows good performance to be helpful
for defects recognition.
Image segmentation is divided into three segmentation methods such as thresholding, clustering and
edge detection. We plan to do the experiments all of these three method to see the evaluation performance of
them. Threshoulding is regarded a fast and simple method to classify and segment the image information of the
welding inspection films. It is widely used to fast image segmentation during general image processing.
Clustering is a specific segmentation method because it can classify the characteristic of the pixels by
measuring their similarity. The characteristic of the pixels may be the gray scale, room space information and so
on. It is used to segment images for good recognition during image processing.
Edge detection is the method more concerning about edge processing. Welding inspection films always
have much detail information around the edges which is important to defects recognition. It is used to catch the
detail information of edges for good recognition during image processing.
Image enhancement method such as denoising, histogram equalization does more working to enhance
the concerning features noised by the psychical and external factors during image processing.
We collect the testing sample from actual images of welding detection for 2004 in Sinopec Pipeline
Storage and Transportation Company. The actual images are stratified by the category of welding defects. We
collect testing images from every category, especially in pore, crack, incomplete penetration and incomplete
fusion, which is as followed:
Figure.4. Pore
Fig.5. Crack
Figure.6. Incomplete fusion
Figure.7. Incomplete penetration
5. Improvement of Weld Images using MATLAB –A Review
20
III.1.2 Thresholding
a) Otsu’ method
In MATLAB, Function: level=graythresh (I), it computes global image threshold using Otsu's method.
The function uses Otsu's method, which chooses the threshold to minimize the interclass variance of the black
and white pixels. The Figure.7 shows the segmented result of pore in group 1 using Otsu’ method and the others
will be shown in related appendix files.
Figure.7.1 Otsu’ method
b) Histogram thresholding
The Figure shows the segmented result using Histogram thresholding and the others will be shown in
related appendix files. Histogram thresholding is based on selecting the middle gray value as the threshold value
between the two peaks.
Figure.7.2 Histogram thresholding
III.1.3 Clustering
c) K-means clustering
In K-means algorithm, we firstly initiate cluster centers and then decide the number of iteration by a lot
of tries to get the good quality of segmentation. The Figure 8 shows the segmented result using K-means
clustering and the others will be shown in related appendix files.
Figure.8. Fuzzy C-means clustering
In MATLAB, algorithm of fuzzy C-means clustering is illustrated in the Figure 8.1 Each pixel point is
clustered by initial cluster centers and then cluster centers are updated by loops. Seen in the following figure,
variable of ttFcm is used to control the loop process.
Figure.8.1 Fuzzy C-means segmentation
The traditional FCM clustering can shows good quality of image segmentation. But it is hard to present
the segmentation results in terms of gray scale. Therefore, here is to propose an improved algorithm – Gray-
scale based FCM clustering to present pixels segmentation. On the basis of the traditional FCM clustering, the
use of the neighborhood pixel gray similarity to construct a new membership function, image clustering
segmentation. This method not only effectively suppresses noise interference, and the wrong classification of
pixels is easily rectified.
6. Improvement of Weld Images using MATLAB –A Review
21
It is to generate new clustering center based on neighborhood pixel gray similarity. The Figure 10
shows the segmented result using Gray-scale based Fuzzy C-means clustering and the others will be shown in
related appendix files.
III.1.4 Edge detection
For the gradient magnitude methods (Sobel, Prewitt, Roberts), thresh is used to threshold the calculated
gradient magnitude. The Canny method applies two thresholds to the gradient: a high threshold for low edge
sensitivity and a low threshold for high edge sensitivity. Edge starts with the low sensitivity result and then
grows it to include connected edge pixels from the high sensitivity result. This helps fill in gaps in the detected
edges.
The Figure 9 shows the segmented result using edge detection and the others will be shown in related
appendix files. By comparisons with segmented results, we can see image detected by canny operator has
complete and meticulous edge, which is illustrated in Figure 11. Based on qualitative evaluation, canny operator
is better at detecting the edges than other three.
Figure.8.2 Edge detection
Application solution of image segmentation is as followed, which is also performed in Figure,
Figure.9. Initial image
Figure.10. Gray-scale based FCM clustering
Figure.11. Canny edge detection
IV. CONCLUSION AND FUTURE WORK
We design experimental studies to research on the application of image segmentation in photoreceptor
ray film of the ray inspection of welding. We take sampling as the method of data collection and then do data
analysis by MATLAB. Data analysis contains subjective evaluation on application of image segmentation and
objective evaluation on application of image enhancement.
“What is the current research situation of the ray inspection of welding?” and sub question “What is the
current research situation of the image segmentation such as application situation, research history and so on?”
It introduces the current research situation of welding ray detection in the first part. Shirai (1969) devotes to
research on an algorithm for
Automatic inspection of X-ray photographs and Alaknandea et al (2006) pay more attentions on how to
find the type of flaw and its causative factors. In addition, it describes current research situation of image
segmentation in the second and third part. It gives the research history and application situation of popular
image segmentation method such as thresholding, clustering and edge detection.
We find the answer about sub question “Could a solution for ray inspection of welding be proposed
based on current theory within the field”. We propose proposed solution of image segmentation or image
enhancement application in ray inspection of welding.
7. Improvement of Weld Images using MATLAB –A Review
22
We successfully answer sub question “How does our proposed solution for applying image
segmentation perform in practical experiments?”. We do feasible and performance analysis on our proposed
solution of image segmentation or image enhancement application in ray inspection of welding. It is found that
application of image segmentation is verified suitable to apply on photoreceptor ray film for ray inspection of
welding. The comparison result between image segmentation and image enhancement.
a) Initial image, b) FCM clustering, c) edge detection, d) Image enhancement,
Figure. 11 Comparison result between image segmentation and image enhancement
Application of image segmentation is more competitive than image enhancement because that:
1. Gray-scale based FCM clustering of image segmentation performs well, which can exposure pixels in terms
of grey value level so as that it can show hierarchical position of related defects by grey value.
2. Canny detection speeds also fast and performs well, that gives enough detail information around edges and
defects with smooth lines.
3. Image enhancement only could improve image quality including clarity and contrast, which can’t give other
helpful information to detect welding defects.
After answering all the sub questions, main question can be answered. We get our conclusion that image
segmentation is suitable to apply on photoreceptor ray film for ray inspection of welding.
ACKNOWLEDGEMENT
The authors would like thank to the Department of Mechanical Engineering, Jyothi Engineering
College, Kerala, India and UG section, Department of Mechanical Engineering, Tamilnadu College of
Engineering, Tamil Nadu, India for their technical support and valuable suggestions.
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