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This paper presents new approach for shrinkage
compensation in Selective Laser Sintering (SLS) process to
improve the accuracy of parts produced. By optimizing tools like
Pattern search tool and Genetic algorithm available in MATLAB
2011. Shrinkage is compensated along X, Y, Z direction of the
part produced. The scaling factor used in this compensation is
calculated from shrinkage model (It is the empirical relation
between percentage shrinkage and the machine manufacturer,
Shrinkage model). Software is available in MATLAB 2011,
automate the compensation process. Two case studies were
presented to quantify the effectiveness of the developed
compensation approach over the existing compensation method.
From the comparison experiments, the ability of the proposed
compensation method in improving the accuracy of laser sintered
parts is established.OPTIMIZATION OF SCALE FACTORS IN SHRINKAGE COMPENSATIONS IN SLS USING PATTERN...
OPTIMIZATION OF SCALE FACTORS IN SHRINKAGE COMPENSATIONS IN SLS USING PATTERN...International Journal of Technical Research & Application
The current research was conducted to quantify
the heavy metals accumulation in vegetables imported from India
and compared with same vegetables collected from vegetable
market in Pakistan. Green chili, capsicum, tomato and ginger
were selected to analyze their heavy metal contents by atomic
absorption spectrophotometer. Samples were prepared by dry
ash method and wet digestion method to find out the efficient
method for heavy metals analysis. Maximum concentration of
heavy metals detected by dry ash method in Indian vegetables
were of Cu (0.34ppm) in capsicum, Cd (0.0ppm) in capsicum, Cr
(0.22ppm) in Ginger, Pb (0.22ppm) in ginger and Ni (0.14ppm) in
Ginger while in Pakistani vegetables, it were of Cu (0.62ppm) in
Tomato, Cd (0.04ppm) in Capsicum, Cr (0.17ppm) in Tomato, Pb
(0.36ppm) in Ginger. Heavy metal contents determined by wet
digestion method were of Cu (0.57ppm) in Ginger, Cd (0.01ppm)
in capsicum, Cr (0.17ppm) in Ginger, Pb (0.27ppm) in capsicum
while in Pakistani vegetables these were of Cu (0.19ppm) in
Ginger, Cd (0.04ppm) in green chili, Cr (0.09ppm) in Tomato, Pb
(0.25ppm) in Ginger. It was found that the concentrations of
these heavy metals in vegetables of both the countries were within
WHO/FAO permissible limits so at present these are not
hazardous but long term use of these vegetables can magnify
heavy metals contents in human body. For statistical analysis two
factor ANOVA was run, which indicated that almost all the
vegetables had accumulated heavy metals but there was a
difference in the uptake of Indian and Pakistani vegetables.ASSESSMENT OF HEAVY METALS CONCENTRATION IN INDIAN AND PAKISTANI VEGETABLES
ASSESSMENT OF HEAVY METALS CONCENTRATION IN INDIAN AND PAKISTANI VEGETABLESInternational Journal of Technical Research & Application
SKILLS AND BEHAVIOR IN EFFECTIVE
CLASSROOM TEACHINGSKILLS AND BEHAVIOR IN EFFECTIVE CLASSROOM TEACHING
SKILLS AND BEHAVIOR IN EFFECTIVE CLASSROOM TEACHINGInternational Journal of Technical Research & Application
Recommended
This paper presents new approach for shrinkage
compensation in Selective Laser Sintering (SLS) process to
improve the accuracy of parts produced. By optimizing tools like
Pattern search tool and Genetic algorithm available in MATLAB
2011. Shrinkage is compensated along X, Y, Z direction of the
part produced. The scaling factor used in this compensation is
calculated from shrinkage model (It is the empirical relation
between percentage shrinkage and the machine manufacturer,
Shrinkage model). Software is available in MATLAB 2011,
automate the compensation process. Two case studies were
presented to quantify the effectiveness of the developed
compensation approach over the existing compensation method.
From the comparison experiments, the ability of the proposed
compensation method in improving the accuracy of laser sintered
parts is established.OPTIMIZATION OF SCALE FACTORS IN SHRINKAGE COMPENSATIONS IN SLS USING PATTERN...
OPTIMIZATION OF SCALE FACTORS IN SHRINKAGE COMPENSATIONS IN SLS USING PATTERN...International Journal of Technical Research & Application
The current research was conducted to quantify
the heavy metals accumulation in vegetables imported from India
and compared with same vegetables collected from vegetable
market in Pakistan. Green chili, capsicum, tomato and ginger
were selected to analyze their heavy metal contents by atomic
absorption spectrophotometer. Samples were prepared by dry
ash method and wet digestion method to find out the efficient
method for heavy metals analysis. Maximum concentration of
heavy metals detected by dry ash method in Indian vegetables
were of Cu (0.34ppm) in capsicum, Cd (0.0ppm) in capsicum, Cr
(0.22ppm) in Ginger, Pb (0.22ppm) in ginger and Ni (0.14ppm) in
Ginger while in Pakistani vegetables, it were of Cu (0.62ppm) in
Tomato, Cd (0.04ppm) in Capsicum, Cr (0.17ppm) in Tomato, Pb
(0.36ppm) in Ginger. Heavy metal contents determined by wet
digestion method were of Cu (0.57ppm) in Ginger, Cd (0.01ppm)
in capsicum, Cr (0.17ppm) in Ginger, Pb (0.27ppm) in capsicum
while in Pakistani vegetables these were of Cu (0.19ppm) in
Ginger, Cd (0.04ppm) in green chili, Cr (0.09ppm) in Tomato, Pb
(0.25ppm) in Ginger. It was found that the concentrations of
these heavy metals in vegetables of both the countries were within
WHO/FAO permissible limits so at present these are not
hazardous but long term use of these vegetables can magnify
heavy metals contents in human body. For statistical analysis two
factor ANOVA was run, which indicated that almost all the
vegetables had accumulated heavy metals but there was a
difference in the uptake of Indian and Pakistani vegetables.ASSESSMENT OF HEAVY METALS CONCENTRATION IN INDIAN AND PAKISTANI VEGETABLES
ASSESSMENT OF HEAVY METALS CONCENTRATION IN INDIAN AND PAKISTANI VEGETABLESInternational Journal of Technical Research & Application
SKILLS AND BEHAVIOR IN EFFECTIVE
CLASSROOM TEACHINGSKILLS AND BEHAVIOR IN EFFECTIVE CLASSROOM TEACHING
SKILLS AND BEHAVIOR IN EFFECTIVE CLASSROOM TEACHINGInternational Journal of Technical Research & Application
Content Based Image Retrieval (CBIR) is one of the
most active in the current research field of multimedia retrieval.
It retrieves the images from the large databases based on images
feature like color, texture and shape. In this paper, Image
retrieval based on multi feature fusion is achieved by color and
texture features as well as the similarity measures are
investigated. The work of color feature extraction is obtained by
using Quadratic Distance and texture features by using Pyramid
Structure Wavelet Transforms and Gray level co-occurrence
matrix. We are comparing all these methods for best image
retrievalIMAGE RETRIEVAL USING QUADRATIC DISTANCE BASED ON COLOR FEATURE AND PYRAMID S...
IMAGE RETRIEVAL USING QUADRATIC DISTANCE BASED ON COLOR FEATURE AND PYRAMID S...International Journal of Technical Research & Application
The software industry has had significant progress
in recent years. The entire life of software includes two phases:
Production and Maintenance. Software maintenance cost is
increasingly growing and estimates showed that about 90%, if
software life cost is related to its maintenance phase. Extraction
and considering the factors affecting software maintenance cost
help to estimate the cost and reduce it by controlling the factors.
Cost estimation of maintenance phase is necessary to predict the
reliability, improve the productivity, project planning, controlling
and adaptability of the software. Though there are various models
to estimate the maintenance cost of traditional software like
COCOMO, SLIM, Function Point etc., but till now there is no
such model to estimate the maintenance cost using fourth
generation language environment. Software maintenance will
continue to exist in the fourth generation environment, as systems
will still be required to evolve. In this kind of situation there is
needed to develop a model to estimate the maintenance cost using
fourth generation environment. We propose a systematic
approach and development for software maintenance cost
estimation model using fourth generation language environment
on the basis of COCOMO II. This model is based on three
parameters: SMCE with Fourth Generation Language
Environment, ACT (Annual Change Traffic), Technical and NonTechnical
factors which affect the maintenance cost. The
favorable results closely matching and it can be achieved by using
model implementation.
DEVELOPMENT OF A SOFTWARE MAINTENANCE COST ESTIMATION MODEL: 4 TH GL PERSPECTIVE
DEVELOPMENT OF A SOFTWARE MAINTENANCE COST ESTIMATION MODEL: 4 TH GL PERSPECTIVEInternational Journal of Technical Research & Application
Nowadays digital cameras are equipped with a
single sensor (CCD/CMOS), to reduce the size and cost of the
camera. The color filter array (CFA) is used to cover the sensor
and it consist of three primary colors such as red, green and blue
and it samples only one color component at each pixel location.
The process of estimating the other two missing color components
at each pixel location is known as demosaicing. The proposed
algorithm uses the directional color difference and multiscale
gradient method for green plane interpolation, this type of
interpolation method is used to reduce the artifacts and improve
the image quality. The red and blue plane are interpolated using
the estimated green plane, the bayer pattern is used for the
interpolation technique. The performance of the image is
measured using the CPSNR valueCOLOR FILTER ARRAY DEMOSAICING USING DIRECTIONAL COLOR DIFFERENCE AND GRADIEN...
COLOR FILTER ARRAY DEMOSAICING USING DIRECTIONAL COLOR DIFFERENCE AND GRADIEN...International Journal of Technical Research & Application
Fingerprints are imprints formed by friction
ridges of the skin and thumbs. They have long been used for
identification because of their immutability and individuality.
Immutability refers to the permanent and unchanging character
of the pattern on each finger. Individuality refers to the
uniqueness of ridge details across individuals; the probability
that two fingerprints are alike is about 1 in 1.9x1015. In despite of
this improvement which is adopted by the Federal Bureau of
Investigation (FBI), the fact still is “The larger the fingerprint
files became, the harder it was to identify somebody from their
fingerprints alone. Moreover, the fingerprint requires one of the
largest data templates in the biometric field”. The finger data
template can range anywhere from several hundred bytes to over
1,000 bytes depending upon the level of security that is required
and the method that is used to scan one's fingerprint. For these
reasons this work is motivated to present another way to tackle
the problem that is relies on the properties of Vector
Quantization coding algorithm. A NEW CODING METHOD IN PATTERN RECOGNITION FINGERPRINT IMAGE USING VECTOR QUA...
A NEW CODING METHOD IN PATTERN RECOGNITION FINGERPRINT IMAGE USING VECTOR QUA...International Journal of Technical Research & Application
- Security is a concept similar to being cautious
or alert against any danger. Network security is the condition of
being protected against any danger or loss. Thus safety plays a
important role in bank transactions where disclosure of any data
results in big loss. We can define networking as the combination
of two or more computers for the purpose of resource sharing.
Resources here include files, database, emails etc. It is the
protection of these resources from unauthorized users that
brought the development of network security. It is a measure
incorporated to protect data during their transmission and also
to ensure the transmitted is protected and authentic.
Security of online bank transactions here has been
improved by increasing the number of bits while establishing the
SSL connection as well as in RSA asymmetric key encryption
along with SHA1 used for digital signature to authenticate the
userIMPLEMENTATION OF METHODS FOR TRANSACTION IN SECURE ONLINE BANKING
IMPLEMENTATION OF METHODS FOR TRANSACTION IN SECURE ONLINE BANKINGInternational Journal of Technical Research & Application
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Content Based Image Retrieval (CBIR) is one of the
most active in the current research field of multimedia retrieval.
It retrieves the images from the large databases based on images
feature like color, texture and shape. In this paper, Image
retrieval based on multi feature fusion is achieved by color and
texture features as well as the similarity measures are
investigated. The work of color feature extraction is obtained by
using Quadratic Distance and texture features by using Pyramid
Structure Wavelet Transforms and Gray level co-occurrence
matrix. We are comparing all these methods for best image
retrievalIMAGE RETRIEVAL USING QUADRATIC DISTANCE BASED ON COLOR FEATURE AND PYRAMID S...
IMAGE RETRIEVAL USING QUADRATIC DISTANCE BASED ON COLOR FEATURE AND PYRAMID S...International Journal of Technical Research & Application
The software industry has had significant progress
in recent years. The entire life of software includes two phases:
Production and Maintenance. Software maintenance cost is
increasingly growing and estimates showed that about 90%, if
software life cost is related to its maintenance phase. Extraction
and considering the factors affecting software maintenance cost
help to estimate the cost and reduce it by controlling the factors.
Cost estimation of maintenance phase is necessary to predict the
reliability, improve the productivity, project planning, controlling
and adaptability of the software. Though there are various models
to estimate the maintenance cost of traditional software like
COCOMO, SLIM, Function Point etc., but till now there is no
such model to estimate the maintenance cost using fourth
generation language environment. Software maintenance will
continue to exist in the fourth generation environment, as systems
will still be required to evolve. In this kind of situation there is
needed to develop a model to estimate the maintenance cost using
fourth generation environment. We propose a systematic
approach and development for software maintenance cost
estimation model using fourth generation language environment
on the basis of COCOMO II. This model is based on three
parameters: SMCE with Fourth Generation Language
Environment, ACT (Annual Change Traffic), Technical and NonTechnical
factors which affect the maintenance cost. The
favorable results closely matching and it can be achieved by using
model implementation.
DEVELOPMENT OF A SOFTWARE MAINTENANCE COST ESTIMATION MODEL: 4 TH GL PERSPECTIVE
DEVELOPMENT OF A SOFTWARE MAINTENANCE COST ESTIMATION MODEL: 4 TH GL PERSPECTIVEInternational Journal of Technical Research & Application
Nowadays digital cameras are equipped with a
single sensor (CCD/CMOS), to reduce the size and cost of the
camera. The color filter array (CFA) is used to cover the sensor
and it consist of three primary colors such as red, green and blue
and it samples only one color component at each pixel location.
The process of estimating the other two missing color components
at each pixel location is known as demosaicing. The proposed
algorithm uses the directional color difference and multiscale
gradient method for green plane interpolation, this type of
interpolation method is used to reduce the artifacts and improve
the image quality. The red and blue plane are interpolated using
the estimated green plane, the bayer pattern is used for the
interpolation technique. The performance of the image is
measured using the CPSNR valueCOLOR FILTER ARRAY DEMOSAICING USING DIRECTIONAL COLOR DIFFERENCE AND GRADIEN...
COLOR FILTER ARRAY DEMOSAICING USING DIRECTIONAL COLOR DIFFERENCE AND GRADIEN...International Journal of Technical Research & Application
Fingerprints are imprints formed by friction
ridges of the skin and thumbs. They have long been used for
identification because of their immutability and individuality.
Immutability refers to the permanent and unchanging character
of the pattern on each finger. Individuality refers to the
uniqueness of ridge details across individuals; the probability
that two fingerprints are alike is about 1 in 1.9x1015. In despite of
this improvement which is adopted by the Federal Bureau of
Investigation (FBI), the fact still is “The larger the fingerprint
files became, the harder it was to identify somebody from their
fingerprints alone. Moreover, the fingerprint requires one of the
largest data templates in the biometric field”. The finger data
template can range anywhere from several hundred bytes to over
1,000 bytes depending upon the level of security that is required
and the method that is used to scan one's fingerprint. For these
reasons this work is motivated to present another way to tackle
the problem that is relies on the properties of Vector
Quantization coding algorithm. A NEW CODING METHOD IN PATTERN RECOGNITION FINGERPRINT IMAGE USING VECTOR QUA...
A NEW CODING METHOD IN PATTERN RECOGNITION FINGERPRINT IMAGE USING VECTOR QUA...International Journal of Technical Research & Application
- Security is a concept similar to being cautious
or alert against any danger. Network security is the condition of
being protected against any danger or loss. Thus safety plays a
important role in bank transactions where disclosure of any data
results in big loss. We can define networking as the combination
of two or more computers for the purpose of resource sharing.
Resources here include files, database, emails etc. It is the
protection of these resources from unauthorized users that
brought the development of network security. It is a measure
incorporated to protect data during their transmission and also
to ensure the transmitted is protected and authentic.
Security of online bank transactions here has been
improved by increasing the number of bits while establishing the
SSL connection as well as in RSA asymmetric key encryption
along with SHA1 used for digital signature to authenticate the
userIMPLEMENTATION OF METHODS FOR TRANSACTION IN SECURE ONLINE BANKING
IMPLEMENTATION OF METHODS FOR TRANSACTION IN SECURE ONLINE BANKINGInternational Journal of Technical Research & Application
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