1. The document compares the image quality of Computed Radiography (CR) and Digital Radiography (DR) for representing low-contrast and high-contrast objects.
2. An acrylic phantom containing 10 objects of varying densities representing different contrast levels was exposed using CR and DR systems.
3. The CR images had higher contrast but more noise, while the DR images had lower contrast but less noise. As a result, the DR images performed better in terms of signal-to-noise ratio and contrast-to-noise ratio.
4. Therefore, while CR produced higher measured contrast, the DR system produced images with better overall quality for representing both low-contrast and high-contrast objects.
A new approach of edge detection in sar images using region based active cont...eSAT Journals
Abstract This paper presents a new methodology for the edge detection of complex radar images. The approach includes the edge improvisation algorithm and followed with edge detection. The nature of complex radar images made edge enhancement part before the edge detection as the data is highly heterogeneous in nature. Thus, the use of discrete wavelet transform in the edge improvisation algorithm is justified. Then region based active contour model is used as edge detection algorithm. The paper proposes the distribution fitting energy with a level set function and neighborhood means and variances as variables. The performance is tested by applying it on different images and the results are been analyzed. Keywords: Edge detection, Edge improvisation, Synthetic Aperture radar (SAR), wavelet transforms.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Review on Various Algorithm for Cloud Detection and Removal for ImagesIJERA Editor
Clouds is one of the significant obstacles in extracting information from tea lands using remote sensing imagery Different approaches have been attempted to solve this problem with varying levels of success In the past decade, a number of cloud removal approaches have been proposed . In this paper we review and discuss about the cloud detection & removal, need of cloud computing , its principles, and cloud removal process and various algorithm of cloud removal. This paper attempts to give a recipe for selecting one of the popular cloud removal algorithms like The Information Cloning Algorithm, Cloud Distortion Model And Filtering Procedure, Semi-Automated Cloud/Shadow, And Haze Identification And Removal etc. A cloud removal approach based on information cloning is introduced...Using generic interpolation machinery based on solving Poisson equations, a variety of novel tools are introduced for seamless editing of image regions. The patch-based information reconstruction is mathematically formulated as a Poisson equation and solved using a global optimization process. Based on the specific requirements of the project that necessitates the utilization of certain types of cloud detection algorithms is decided
Analysis of the Effect of carbon fiber utilization on Cobalt-60 Teletherapy t...AM Publications
The research about the effect of carbon fiber on cobalt-60 teletherapy type GWXJ80 to the depth dose when gamma rays passed the carbon fiber couch and its effect to the surface dose has been conducted. Depth dose has been measured using ionization detector 0.65cc Extradin A12 model with the buildup cup that is connected to the electrometer Max4000 (Standard Imaging). Depth dose data have been obtained from 5 cm, 6 cm, 7 cm and 9 cm of depth with angle variations of each depth are from 0o - 360o (10o angle interval ). The result of measurement has been processed using TRS398 protocol. The Surface dose measurement were performed using Gafchromic EBT2 film which was placed on the surface of slab phantom with and without carbon fiber. Irradiation field of this measurement were 6x6cm2, 8x8cm2, 10x10cm2, 12x12cm2, 14x14cm2, 16x16cm2 and 18x18cm2. The reading results of optic density using X-RITE densitometer were converted to dose refering the characteristic curve graph of Gafchromic EBT2 that had been prepared. Characteristic curve of the film have been made by giving 25cGy, 50cGy, 100cGy, 150cGy, 200cGy, 250cGy and 300cGy of dose to film strip in 2,5x3cm2 of field. The result of this research showed that in 5cm, 6cm, 7cm, 8cm and 9cm of the depth, can be obtained transmission factors 0.954, 0.952, 0.951, 0.950 and 0.948. A great transmission factor change occured at the gantry angle position at 100o to 120o. Carbon fiber application for the surface dose increased the relative dose from 10.9% into 37.4% (6x6cm2), 16.9% into 48.39% (8x8cm2), 23.0% into 63.3% (10x10cm2), 29.2% into 75.4% (12x12cm2), 33.3% into 80.1% (14x14cm2), 37% into 86.9% (16x16cm2) and 43.3% into 91.2% (18x18cm2).
BULK IEEE 2014-15 PROJECTS LIST FOR DIGITAL IMAGE PROCESSINGShane Saro
ECRUITMENT SOLUTION provides bulk ieee projects to its regular clients and satisfies all their requirements on time, Also it provides 24/7 supports to all its clients in delivering the resources which is including source code delavery,Documents delivery,Algorithms delivery etc...,ECRUITMENT SOLUTIONS is also having around 100 clinets throughout India and across the World.
A new approach of edge detection in sar images using region based active cont...eSAT Journals
Abstract This paper presents a new methodology for the edge detection of complex radar images. The approach includes the edge improvisation algorithm and followed with edge detection. The nature of complex radar images made edge enhancement part before the edge detection as the data is highly heterogeneous in nature. Thus, the use of discrete wavelet transform in the edge improvisation algorithm is justified. Then region based active contour model is used as edge detection algorithm. The paper proposes the distribution fitting energy with a level set function and neighborhood means and variances as variables. The performance is tested by applying it on different images and the results are been analyzed. Keywords: Edge detection, Edge improvisation, Synthetic Aperture radar (SAR), wavelet transforms.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Review on Various Algorithm for Cloud Detection and Removal for ImagesIJERA Editor
Clouds is one of the significant obstacles in extracting information from tea lands using remote sensing imagery Different approaches have been attempted to solve this problem with varying levels of success In the past decade, a number of cloud removal approaches have been proposed . In this paper we review and discuss about the cloud detection & removal, need of cloud computing , its principles, and cloud removal process and various algorithm of cloud removal. This paper attempts to give a recipe for selecting one of the popular cloud removal algorithms like The Information Cloning Algorithm, Cloud Distortion Model And Filtering Procedure, Semi-Automated Cloud/Shadow, And Haze Identification And Removal etc. A cloud removal approach based on information cloning is introduced...Using generic interpolation machinery based on solving Poisson equations, a variety of novel tools are introduced for seamless editing of image regions. The patch-based information reconstruction is mathematically formulated as a Poisson equation and solved using a global optimization process. Based on the specific requirements of the project that necessitates the utilization of certain types of cloud detection algorithms is decided
Analysis of the Effect of carbon fiber utilization on Cobalt-60 Teletherapy t...AM Publications
The research about the effect of carbon fiber on cobalt-60 teletherapy type GWXJ80 to the depth dose when gamma rays passed the carbon fiber couch and its effect to the surface dose has been conducted. Depth dose has been measured using ionization detector 0.65cc Extradin A12 model with the buildup cup that is connected to the electrometer Max4000 (Standard Imaging). Depth dose data have been obtained from 5 cm, 6 cm, 7 cm and 9 cm of depth with angle variations of each depth are from 0o - 360o (10o angle interval ). The result of measurement has been processed using TRS398 protocol. The Surface dose measurement were performed using Gafchromic EBT2 film which was placed on the surface of slab phantom with and without carbon fiber. Irradiation field of this measurement were 6x6cm2, 8x8cm2, 10x10cm2, 12x12cm2, 14x14cm2, 16x16cm2 and 18x18cm2. The reading results of optic density using X-RITE densitometer were converted to dose refering the characteristic curve graph of Gafchromic EBT2 that had been prepared. Characteristic curve of the film have been made by giving 25cGy, 50cGy, 100cGy, 150cGy, 200cGy, 250cGy and 300cGy of dose to film strip in 2,5x3cm2 of field. The result of this research showed that in 5cm, 6cm, 7cm, 8cm and 9cm of the depth, can be obtained transmission factors 0.954, 0.952, 0.951, 0.950 and 0.948. A great transmission factor change occured at the gantry angle position at 100o to 120o. Carbon fiber application for the surface dose increased the relative dose from 10.9% into 37.4% (6x6cm2), 16.9% into 48.39% (8x8cm2), 23.0% into 63.3% (10x10cm2), 29.2% into 75.4% (12x12cm2), 33.3% into 80.1% (14x14cm2), 37% into 86.9% (16x16cm2) and 43.3% into 91.2% (18x18cm2).
BULK IEEE 2014-15 PROJECTS LIST FOR DIGITAL IMAGE PROCESSINGShane Saro
ECRUITMENT SOLUTION provides bulk ieee projects to its regular clients and satisfies all their requirements on time, Also it provides 24/7 supports to all its clients in delivering the resources which is including source code delavery,Documents delivery,Algorithms delivery etc...,ECRUITMENT SOLUTIONS is also having around 100 clinets throughout India and across the World.
Crystal Growth and Studies of Dihydrogen Phosphates of Potassium and Ammonium...IJERA Editor
A nonlinear optical (NLO) material Potassium dihydrogen phosphates (KDP) and Ammonium dihydrogen
phosphates (ADP) are grown by slow evaporation solution growth technique. The FTIR studies confirm the
presence of the functional group in the grown crystal. The optical transmittance studies show that the crystal has
transparence in the entire visible and IR region. The thermal stability of the materials was assessed by TG/DTA
analysis. The mechanical stability of the grown crystals was analyzed by Vicker’s microhardness test. The
dielectric behavior of the crystals was tested by dielectric analysis. The second harmonic generation (SHG) of
KDP is confirmed by Kurtz and Perry powder technique using Nd: YAG laser.
A fast single image haze removal algorithm using color attenuation priorLogicMindtech Nologies
IMAGE PROCESSING Projects for M. Tech, IMAGE PROCESSING Projects in Vijayanagar, IMAGE PROCESSING Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, IMAGE PROCESSING IEEE projects in Bangalore, IEEE 2015 IMAGE PROCESSING Projects, MATLAB Image Processing Projects, MATLAB Image Processing Projects in Bangalore, MATLAB Image Processing Projects in Vijayangar
Unsupervised Building Extraction from High Resolution Satellite Images Irresp...CSCJournals
Extraction of geospatial data from the photogrammetric sensing images becomes more and more important with the advances in the technology. Today Geographic Information Systems are used in a large variety of applications in engineering, city planning and social sciences. Geospatial data like roads, buildings and rivers are the most critical feeds of a GIS database. However, extracting buildings is one of the most complex and challenging tasks as there exist a lot of inhomogeneity due to varying hierarchy. The variety of the type of buildings and also the shapes of rooftops are very inconstant. Also in some areas, the buildings are placed irregularly or too close to each other. For these reasons, even by using high resolution IKONOS and QuickBird satellite imagery the quality percentage of building extraction is very less. This paper proposes a solution to the problem of automatic and unsupervised extraction of building features irrespective of rooftop structures in multispectral satellite images. The algorithm instead of detecting the region of interest, eliminates areas other than the region of interest which extract the rooftops completely irrespective of their shapes. Extensive tests indicate that the methodology performs well to extract buildings in complex environments.
Haze removal for a single remote sensing image based on deformed haze imaging...LogicMindtech Nologies
IMAGE PROCESSING Projects for M. Tech, IMAGE PROCESSING Projects in Vijayanagar, IMAGE PROCESSING Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, IMAGE PROCESSING IEEE projects in Bangalore, IEEE 2015 IMAGE PROCESSING Projects, MATLAB Image Processing Projects, MATLAB Image Processing Projects in Bangalore, MATLAB Image Processing Projects in Vijayangar
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.
EFFECT OF SILICON - RUBBER (SR) SHEETS AS AN ALTERNATIVE FILTER ON HIGH AND L...AM Publications
A digital radiography delivers a radiation dose to patients; therefore it poses potential risk to the patients. One effort to reduce dose is carried out using a radiation filter, e.g. Silicone Rubber (SR) sheet. The purpose of this research was to determine the impact of the SR sheet on the high contrast objects (HCO) and the low contrast objects (LCO). The dose reduction was determined from attenuation x-rays before and after using the SR sheet. Assessment of HCO and LCO was observed from CDR TOR phantom at tube voltage of 48 kVp and tube current of 8 mAs. The physical parameter to assess image quality was the Signal to Noise Ratio (SNR) value in LCO. The maximum x-ray attenuation using the SR sheet is 48.82%. The visibility of the HCO remains the same, namely 16 objects; however the LCO slighly decreases from 14 objects to 13 objects after using the SR sheet. The SNR value decreases with an average value of 15.17%.Therefore, the SR sheet as a alternative filter has no effect on the HCO and has realtively little effect on the LCO. Thus, the SR sheet potentially is used for radiation protection in patients, especially on examinations that do not require low contrast resolution.
COMPARISON OF RADIATION DOSE AND IMAGE QUALITY BETWEEN THE SINGLE DETECTOR CT...AM Publications
Research has been done by comparing radiation dose profile and image quality to single detector CT (SDCT) and multi detector CT (MDCT). The method of measuring dose accuracy and linearity of the output dose is done by placing a dose pencil on the iso center position in the middle of the gantry. The scanning parameters use axial mode with the acquisition factor of 120 kV, 25 - 250 mAs, 1 sec rotation time and 5 -10 mm slice thickness. Head Phantom CTDI diameter of 16 cm is used for CT dose index (CTDI) measurement. These measurements use a routine head examination protocol provided by CT Scan. Evaluation of image quality using fantom Gammex ACR 464. The resulting data is normalized to obtain constant image noise between SDCT and MDCT. SDCT resulted in a linearity coefficient of radiation dose output ranging from 0.017 to 0.085 higher than MDCT ranging from 0.007 to 0.055. The accuracy of DOSIS radiation at 120 kV / 100 mAs from SDCT is 23.3 mGy and 31.2 mGy whereas MDCT ranges from 11.17 - 28.57 mGy. The standard deviation of radiation dose distribution pattern with CTDI head phantom ranged from 1.7 to 5.8. While the results of image quality measurement, linearity response to 5 standard materials indicate that they are within the range of HU reference values. Evaluation of homogeneity of CT number accuracy, uniformity of noise and uniformity of CT,center and CT,edge respectively are in the range -7 and + 7 HU, 0,258 and 1,123 HU and 0,93 - 3,85 HU. Contrast to Noise Ratio (CNR) measurements range from 1.03 - 2.72. In addition, the results of spatial resolution measurements range from 6 - 7 lp / cm. From the overall evaluation shows, that MDCT has a better score than a SDCT. However, when compared with standard reference values, a single CT detector can be retained as an imaging modality to support the patient's diagnostic process.
THE USE OF ADAPTIVE STATISTICAL ITERATIVE RECONSTRUCTION (ASIR) ON IMAGE QUAL...AM Publications
Use of Adaptive Statistical Iterative Reconstruction (ASIR) on CT scan of thorax has been investigated. This study aims is to determine the effect of the use of ASIR on the radiation dose and image quality. The study was conducted using phantom anthropomorphic using CT Scan GE Optima 580 with setting ASIR Dose Reduction 0% - 50%. This study was carried out by using two parameters: fixed tube current and Tube Current Modulation (TCM). Analyzing of radiation dose is done by calculation of CTDIvol. While image quality are investigated by calculated Signal to Noise Ratio (SNR) and Contrast to Noise Ratio (CNR). There is a difference in the CTDIvol value, between the fixed tube current and TCM settings. At fixed tube current strength, the CTDIvol value is measured, starting from 0% to 50% ASIR, respectively: 48.60 mGy; 43.74 mGy; 38.88 mGy; 34.02 mGy; 29.16 mGy; and 24.30 mGy. While the CTDIvol value measured in TCM settings uses 0% to 50% ASIR as follows: 21.92 mGy; 20.09 mGy; 18.33 mGy; 16.51 mGy; 14.59 mGy; and 12.75 mGy. Using ASIR with TCM can produce CTDIvol values that are smaller than ASIR with fixed tube current. The difference in the average CTDIvol value is 51.80% between the use of TCM and fixed tube current. The greater the percentage of ASIR regulated, the greater the decrease in the CTDIvol dose. There is no significant difference in the SNR and CNR values produced by 0% to 50% ASIR with a fixed current strength. There is no significant difference in the SNR and CNR values produced by ASIR 0% to 50% with TCM. The average CNR value shown in TCM is higher than that of fixed tube current. The use of ASIR influence in dose radiation decreases without change the image quality.
PROFILE DOSE AND PDD ANALYSIS IN SMALL PHOTON FIELD WITH PTW PINPOINT CHAMBER...AM Publications
: Profile dose and PDD of a small field 6MV have been measured using a PTW PinPoint Chamber 0.015 cc detector. The aim of this study is to analyze the profile dose and PDD of small field using PTW PinPoint Chamber detector 0.015 cc. From the results of this study is expected optimal dose measurement accuracy can be achieved in clinical treatment. The analysis includes calculating the symmetry, penumbra value and PDD. Linear accelerator Electa Precise Treatment SystemTM and PTW PinPoint Chamber 0.015cc are the material used in this research. Profile Dose and PDD were measured with an SSD technique in 100 cm with a various of field sizes and depths. The results showed that the symmetry values for depth variations would decrease in ranges (0.55-6.27)% when the depth increase, and for field size variations will decrease in range (0.39-6.27)%. when the filed size increase. The result of the penumbra analysis shows that its value is more than 4 mm for all variations of depth and field size. PDD results showed that maximum dose for all fields size is achieved in maksimum depth (1.4 – 1.7) cm.
THE CORRELATION BETWEEN ENTRANCE SURFACE DOSE (ESD) WITH TUBE VOLTAGE OF MODA...AM Publications
A monitoring of radiation dose to determine the value of Entrance Surface Dose (ESD) with rhodium filter (Rh) on Mammomat 1000 mammography plane has been conducted. The objective of this research is to analyze the value of Entrance Surface Dose (ESD) on phantom acrylic using Mammomat 1000 mammography machine with molybdenum (Mo) and rhodium (Rh) target/filter for tube voltage variation at various Source Surface Distance (SSD). The research began with measuring the output of X-ray tube voltage (kVp output). Then, it was performed a measurement of ESD values on the target / filter Mo / Rh by Multi-Purpose Detector (MPD). The measurement technique was done by setting the Source Surface Distance (SSD) and tube voltage variation. The tube voltages used in the study were 26, 27 and 28 kVp with constant current-time tube at 100 mAs. The measurement results are then compared with the recommended value of the consistency tolerance limit of tube voltage output ± 5% and ESD value <12 mGy. The result of this research indicated that on SSD of 57,7 cm resulted ESD value of 7.059 mGy, on SSD of 60,7 cm resulted ESD value of 6,395 mGy, and on SSD of 63,7 cm resulted ESD value of 5,593 mGy. The results showed that the ESD value that was generated on the Mo/Rh target was still within the recommended tolerance range. The value of generated ESD depended on the variation of the Source Surface Distance (SSD) and the variation of the tube voltage used.
Implementation of multiple 3D scans for error calculation on object digital r...IJERA Editor
Laser scanning is a widespread methodology of visualizing the natural environment and the manmade structures that exist in it. Laser scanners accomplish to digitalize our reality by making highly accurate measurements. Using these measurements they create a set of points in 3D space which is called point cloud and depicts an entire area or object or parts of them. Triangulation laser scanners use the triangle theories and they mainly are used to visualize handheld objects at a very close range from them. In many cases, users of such devices take for granted the accuracy specifications provided by laser scanner manufacturers and respective software and for many applications this is enough. In this paper we use point clouds, collected by a triangulation laser scanner under a repetition method, of two cubes that are geometrically similar to each other but differ in material. At first, the data of each repetition are being compared to each other to examine the consistency of the scanner under multiple measurements of the same scene. Then, the reconstruction of the objects‟ geometry is achieved and the results are being compared to the data derived by a digital caliper. The errors of calculated dimensions were estimated by the use of error propagation law.
Crystal Growth and Studies of Dihydrogen Phosphates of Potassium and Ammonium...IJERA Editor
A nonlinear optical (NLO) material Potassium dihydrogen phosphates (KDP) and Ammonium dihydrogen
phosphates (ADP) are grown by slow evaporation solution growth technique. The FTIR studies confirm the
presence of the functional group in the grown crystal. The optical transmittance studies show that the crystal has
transparence in the entire visible and IR region. The thermal stability of the materials was assessed by TG/DTA
analysis. The mechanical stability of the grown crystals was analyzed by Vicker’s microhardness test. The
dielectric behavior of the crystals was tested by dielectric analysis. The second harmonic generation (SHG) of
KDP is confirmed by Kurtz and Perry powder technique using Nd: YAG laser.
A fast single image haze removal algorithm using color attenuation priorLogicMindtech Nologies
IMAGE PROCESSING Projects for M. Tech, IMAGE PROCESSING Projects in Vijayanagar, IMAGE PROCESSING Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, IMAGE PROCESSING IEEE projects in Bangalore, IEEE 2015 IMAGE PROCESSING Projects, MATLAB Image Processing Projects, MATLAB Image Processing Projects in Bangalore, MATLAB Image Processing Projects in Vijayangar
Unsupervised Building Extraction from High Resolution Satellite Images Irresp...CSCJournals
Extraction of geospatial data from the photogrammetric sensing images becomes more and more important with the advances in the technology. Today Geographic Information Systems are used in a large variety of applications in engineering, city planning and social sciences. Geospatial data like roads, buildings and rivers are the most critical feeds of a GIS database. However, extracting buildings is one of the most complex and challenging tasks as there exist a lot of inhomogeneity due to varying hierarchy. The variety of the type of buildings and also the shapes of rooftops are very inconstant. Also in some areas, the buildings are placed irregularly or too close to each other. For these reasons, even by using high resolution IKONOS and QuickBird satellite imagery the quality percentage of building extraction is very less. This paper proposes a solution to the problem of automatic and unsupervised extraction of building features irrespective of rooftop structures in multispectral satellite images. The algorithm instead of detecting the region of interest, eliminates areas other than the region of interest which extract the rooftops completely irrespective of their shapes. Extensive tests indicate that the methodology performs well to extract buildings in complex environments.
Haze removal for a single remote sensing image based on deformed haze imaging...LogicMindtech Nologies
IMAGE PROCESSING Projects for M. Tech, IMAGE PROCESSING Projects in Vijayanagar, IMAGE PROCESSING Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, IMAGE PROCESSING IEEE projects in Bangalore, IEEE 2015 IMAGE PROCESSING Projects, MATLAB Image Processing Projects, MATLAB Image Processing Projects in Bangalore, MATLAB Image Processing Projects in Vijayangar
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.
EFFECT OF SILICON - RUBBER (SR) SHEETS AS AN ALTERNATIVE FILTER ON HIGH AND L...AM Publications
A digital radiography delivers a radiation dose to patients; therefore it poses potential risk to the patients. One effort to reduce dose is carried out using a radiation filter, e.g. Silicone Rubber (SR) sheet. The purpose of this research was to determine the impact of the SR sheet on the high contrast objects (HCO) and the low contrast objects (LCO). The dose reduction was determined from attenuation x-rays before and after using the SR sheet. Assessment of HCO and LCO was observed from CDR TOR phantom at tube voltage of 48 kVp and tube current of 8 mAs. The physical parameter to assess image quality was the Signal to Noise Ratio (SNR) value in LCO. The maximum x-ray attenuation using the SR sheet is 48.82%. The visibility of the HCO remains the same, namely 16 objects; however the LCO slighly decreases from 14 objects to 13 objects after using the SR sheet. The SNR value decreases with an average value of 15.17%.Therefore, the SR sheet as a alternative filter has no effect on the HCO and has realtively little effect on the LCO. Thus, the SR sheet potentially is used for radiation protection in patients, especially on examinations that do not require low contrast resolution.
COMPARISON OF RADIATION DOSE AND IMAGE QUALITY BETWEEN THE SINGLE DETECTOR CT...AM Publications
Research has been done by comparing radiation dose profile and image quality to single detector CT (SDCT) and multi detector CT (MDCT). The method of measuring dose accuracy and linearity of the output dose is done by placing a dose pencil on the iso center position in the middle of the gantry. The scanning parameters use axial mode with the acquisition factor of 120 kV, 25 - 250 mAs, 1 sec rotation time and 5 -10 mm slice thickness. Head Phantom CTDI diameter of 16 cm is used for CT dose index (CTDI) measurement. These measurements use a routine head examination protocol provided by CT Scan. Evaluation of image quality using fantom Gammex ACR 464. The resulting data is normalized to obtain constant image noise between SDCT and MDCT. SDCT resulted in a linearity coefficient of radiation dose output ranging from 0.017 to 0.085 higher than MDCT ranging from 0.007 to 0.055. The accuracy of DOSIS radiation at 120 kV / 100 mAs from SDCT is 23.3 mGy and 31.2 mGy whereas MDCT ranges from 11.17 - 28.57 mGy. The standard deviation of radiation dose distribution pattern with CTDI head phantom ranged from 1.7 to 5.8. While the results of image quality measurement, linearity response to 5 standard materials indicate that they are within the range of HU reference values. Evaluation of homogeneity of CT number accuracy, uniformity of noise and uniformity of CT,center and CT,edge respectively are in the range -7 and + 7 HU, 0,258 and 1,123 HU and 0,93 - 3,85 HU. Contrast to Noise Ratio (CNR) measurements range from 1.03 - 2.72. In addition, the results of spatial resolution measurements range from 6 - 7 lp / cm. From the overall evaluation shows, that MDCT has a better score than a SDCT. However, when compared with standard reference values, a single CT detector can be retained as an imaging modality to support the patient's diagnostic process.
THE USE OF ADAPTIVE STATISTICAL ITERATIVE RECONSTRUCTION (ASIR) ON IMAGE QUAL...AM Publications
Use of Adaptive Statistical Iterative Reconstruction (ASIR) on CT scan of thorax has been investigated. This study aims is to determine the effect of the use of ASIR on the radiation dose and image quality. The study was conducted using phantom anthropomorphic using CT Scan GE Optima 580 with setting ASIR Dose Reduction 0% - 50%. This study was carried out by using two parameters: fixed tube current and Tube Current Modulation (TCM). Analyzing of radiation dose is done by calculation of CTDIvol. While image quality are investigated by calculated Signal to Noise Ratio (SNR) and Contrast to Noise Ratio (CNR). There is a difference in the CTDIvol value, between the fixed tube current and TCM settings. At fixed tube current strength, the CTDIvol value is measured, starting from 0% to 50% ASIR, respectively: 48.60 mGy; 43.74 mGy; 38.88 mGy; 34.02 mGy; 29.16 mGy; and 24.30 mGy. While the CTDIvol value measured in TCM settings uses 0% to 50% ASIR as follows: 21.92 mGy; 20.09 mGy; 18.33 mGy; 16.51 mGy; 14.59 mGy; and 12.75 mGy. Using ASIR with TCM can produce CTDIvol values that are smaller than ASIR with fixed tube current. The difference in the average CTDIvol value is 51.80% between the use of TCM and fixed tube current. The greater the percentage of ASIR regulated, the greater the decrease in the CTDIvol dose. There is no significant difference in the SNR and CNR values produced by 0% to 50% ASIR with a fixed current strength. There is no significant difference in the SNR and CNR values produced by ASIR 0% to 50% with TCM. The average CNR value shown in TCM is higher than that of fixed tube current. The use of ASIR influence in dose radiation decreases without change the image quality.
PROFILE DOSE AND PDD ANALYSIS IN SMALL PHOTON FIELD WITH PTW PINPOINT CHAMBER...AM Publications
: Profile dose and PDD of a small field 6MV have been measured using a PTW PinPoint Chamber 0.015 cc detector. The aim of this study is to analyze the profile dose and PDD of small field using PTW PinPoint Chamber detector 0.015 cc. From the results of this study is expected optimal dose measurement accuracy can be achieved in clinical treatment. The analysis includes calculating the symmetry, penumbra value and PDD. Linear accelerator Electa Precise Treatment SystemTM and PTW PinPoint Chamber 0.015cc are the material used in this research. Profile Dose and PDD were measured with an SSD technique in 100 cm with a various of field sizes and depths. The results showed that the symmetry values for depth variations would decrease in ranges (0.55-6.27)% when the depth increase, and for field size variations will decrease in range (0.39-6.27)%. when the filed size increase. The result of the penumbra analysis shows that its value is more than 4 mm for all variations of depth and field size. PDD results showed that maximum dose for all fields size is achieved in maksimum depth (1.4 – 1.7) cm.
THE CORRELATION BETWEEN ENTRANCE SURFACE DOSE (ESD) WITH TUBE VOLTAGE OF MODA...AM Publications
A monitoring of radiation dose to determine the value of Entrance Surface Dose (ESD) with rhodium filter (Rh) on Mammomat 1000 mammography plane has been conducted. The objective of this research is to analyze the value of Entrance Surface Dose (ESD) on phantom acrylic using Mammomat 1000 mammography machine with molybdenum (Mo) and rhodium (Rh) target/filter for tube voltage variation at various Source Surface Distance (SSD). The research began with measuring the output of X-ray tube voltage (kVp output). Then, it was performed a measurement of ESD values on the target / filter Mo / Rh by Multi-Purpose Detector (MPD). The measurement technique was done by setting the Source Surface Distance (SSD) and tube voltage variation. The tube voltages used in the study were 26, 27 and 28 kVp with constant current-time tube at 100 mAs. The measurement results are then compared with the recommended value of the consistency tolerance limit of tube voltage output ± 5% and ESD value <12 mGy. The result of this research indicated that on SSD of 57,7 cm resulted ESD value of 7.059 mGy, on SSD of 60,7 cm resulted ESD value of 6,395 mGy, and on SSD of 63,7 cm resulted ESD value of 5,593 mGy. The results showed that the ESD value that was generated on the Mo/Rh target was still within the recommended tolerance range. The value of generated ESD depended on the variation of the Source Surface Distance (SSD) and the variation of the tube voltage used.
Implementation of multiple 3D scans for error calculation on object digital r...IJERA Editor
Laser scanning is a widespread methodology of visualizing the natural environment and the manmade structures that exist in it. Laser scanners accomplish to digitalize our reality by making highly accurate measurements. Using these measurements they create a set of points in 3D space which is called point cloud and depicts an entire area or object or parts of them. Triangulation laser scanners use the triangle theories and they mainly are used to visualize handheld objects at a very close range from them. In many cases, users of such devices take for granted the accuracy specifications provided by laser scanner manufacturers and respective software and for many applications this is enough. In this paper we use point clouds, collected by a triangulation laser scanner under a repetition method, of two cubes that are geometrically similar to each other but differ in material. At first, the data of each repetition are being compared to each other to examine the consistency of the scanner under multiple measurements of the same scene. Then, the reconstruction of the objects‟ geometry is achieved and the results are being compared to the data derived by a digital caliper. The errors of calculated dimensions were estimated by the use of error propagation law.
August 2022 - Top 5 Cited Articles in Microwave engineering jmicro
International Journal of Microwave Engineering (JMICRO) is a peer-reviewed, open access journal which invites high quality manuscripts that focuses on Engineering and theory associated with microwave / millimeter-wave technology, guided wave structures, electromagnetic theory and implementation. Authors are invited to submit original research works that stimulate the development of latest technology in industry and academia. Good quality review papers and short communications are also acceptable.
Neutron Imaging and Tomography with Medipix2 and Dental Microroentgenography:...IJAEMSJORNAL
An over view of Neutron Imaging and Tomography (NIT) with Medipix2 and Dental Micro-roentgenography have been presented in this article. This over view confined to semiconductor detector Medipix2, neutron radiography and tomography and dental microroentgenography. Medipix2 is a pixel-based detector technology employed to measure charge particles, photons (visible through gammas) and neutron. Neutron Beam for this technology are LVR-15 Research Reactor ( 107 n/cm2 s) and Spallation neutron source ( 3×106n/cm2 s) .This technology has been verified with photograph and neutronogram of a relay and photograph and tomographic 3D reconstruction of a bullet cartidge, tooth and fishing thread. Comparison of spatial resolution among different imagers also has been presented.
In this paper, we present a novel iterative reconstruction algorithm for discrete tomography (DT) named total variation regularized discrete algebraic reconstruction technique (TVR-DART) with automated gray value estimation. This algorithm is more robust and automated than the original DART algorithm, and is aimed at imaging of objects consisting of only a few different material compositions, each corresponding to a different gray value in the reconstruction. By exploiting two types of prior knowledge of the scanned object simultaneously, TVR-DART solves the discrete reconstruction problem within an optimization framework inspired by compressive sensing to steer the current reconstruction toward a solution with the specified number of discrete gray values. The gray values and the thresholds are estimated as the reconstruction improves through iterations. Extensive experiments from simulated data, experimental μCT, and electron tomography data sets show that TVR-DART is capable of providing more accurate reconstruction than existing algorithms under noisy conditions from a small number of projection images and/or from a small angular range. Furthermore, the new algorithm requires less effort on parameter tuning compared with the original DART algorithm. With TVR-DART, we aim to provide the tomography society with an easy-to-use and robust algorithm for DT.
DEVELOPMENT OF TODDLER FAMILY CADRE TRAINING BASED ON ANDROID APPLICATIONS IN...AM Publications
Toddler family cadre is a community members work voluntarily in fostering and providing information to parents of toddlers about how to properly care for children. Toddler Family cadre desperately need training to increase their skills. There are still a few Toddler family cadres who get training so that the knowledge and skills of parents and other family members in developing toddlers' growth through physical stimulation, motoric intelligence, emotional and social economy as well as possible are still lacking. The purpose of this study is to develop an Android- assisted Toddler family cadre training model in Demak. This research is research in tian research and development. The research location was in Demak Regency. Toddler family cadres became the object of this research. Development of Toddler family cadre training models assisted by Android in Demak is feasible to be used as an effort to improve Toddler Family cadres' capabilities.
TESTING OF COMPOSITE ON DROP-WEIGHT IMPACT TESTING AND DAMAGE IDENTIFICATION ...AM Publications
In recent years the use of composite materials in structural components has become increasingly common in a wide range of engineering applications. Composite materials offer numerous advantages over more conventional materials because of their superior specific properties, but a serious obstacle to a more widespread use of these materials is their high sensitivity to localized impact loading. This paper presents an experimental study to assess the impact response of drop weight impact tests on fiber reinforced polymer composites with deferent load and damage identification of composite using Non-destructive testing techniques ultrasonic testing (UT) C scan. In the study includes checking the strength of the specimen, plotting of graphs between the height and the impact energy obtained and tabulating the results after conducting the various functional tests.
THE USE OF FRACTAL GEOMETRY IN TILING MOTIF DESIGNAM Publications
In this paper I will present the use of fractal geometry to design tile motifs. A fractal is a geometric figure that combines the several characteristics among others: its parts have the same form as the whole, fragmented, and formation by iteration. The concept of fractals has been spread over all fields of sciences, technology, and art. This paper aims to provide an algorithm to creating motifs of tile algorithm for create the tile motif consists of base, iteration, coloration and duplication. In order to help the reader better understand the algorithm, I will present some script using Matlab. We describe a mathematically based algorithm that can fill a spatial region with sequence of randomly placed which may be transformed copies of one motif or several motifs. By using this algorithm, I can produce thousand variety of aesthetically pleasing tile motifs, of which we show a number of examples.
TWO-DIMENSIONAL INVERSION FINITE ELEMENT MODELING OF MAGNETOTELLURIC DATA: CA...AM Publications
Two-dimensional resistivity analysis of magnetotelluric data has been done at “Z” geothermal area which is located in southern part of Indonesia. The objective is to understand subsurface structure beneath reasearch area based on 2-D modeling of magnetotelluric data. The inversion finite element method were used for numerical simulations which requires discretization on the boundary of the modeling domain. The modeling results of magnetotelluric data shows relativity structure dissemination: 0-10 ohm.m in a thickness of 1 km (Clay Cap), 10-100 ohm.m with 1-2 km depth respectively (reservoir zone), and on a scale of 100-1000 ohm.m in a depth of 2-3 km (heat source zone). The result of relativity structure can be used to delineate an area with geothermal prospect around 12 km2.
USING THE GENETIC ALGORITHM TO OPTIMIZE LASER WELDING PARAMETERS FOR MARTENSI...AM Publications
To achieve the pre-set welding size, this paper presents the optimization of the constrained overlap laser welding input parameters for AISI 416 and AISI 440FSe stainless, thickness 0.5 mm. In this study, the proposed optimization algorithm is the Genetic Algorithm (GA). After training 10 times for 30 NP (population size), each training repeated 200 times, the results achieved as expected. The error is compared with the result of the affirmation experiment not exceeding 5%.
ANALYSIS AND DESIGN E-MARKETPLACE FOR MICRO, SMALL AND MEDIUM ENTERPRISESAM Publications
The Ministry of Cooperatives and Small and Medium Enterprises launched in 2018 the number of Micro, Small and Medium Enterprises (MSMEs) in Indonesia as many as 58.97 million people. It is predicted that the number of MSMEs players in 2019 will amount to 59.2 million. This shows that the Indonesian people have made changes in the field of family economics which initially as consumptive are now productive. The community prefers to carry out activities that can increase family income. Future MSMEs remain the mainstay of the national economy. In accordance with the government roadmap, in 2020 e-commerce transactions are predicted to reach Rp1,300 trillion or equivalent to USD130 billion. According to data from the Central Statistics Agency (BPS), the contribution of MSMEs to Indonesia's Gross Domestic Product (GDP) reached 61.41%, with the number of MSMEs reaching almost 60 million units. However, only around 8% or 3.79 million of the 59.2 million MSMEs players have used online platforms to market their products. Based on the above problems, researchers conducted research on the analysis and display of E-Marketplace for MSMEs in Indonesia. The type of research used is action research. The object of research is MSMEs which are under the Office of Industry and Trade of Sragen Regency. The method of data collection is by techniques: (1) interview, (2) documentation (3) observation, (4) literature study. The researcher uses the waterfall method in developing the system. The research team has successfully analyzed the E-Market place according to the results of data collection. The research team has succeeded in designing the E-Marketplace for MSMEs. E-Marketplace designed can be used by admin, MSME and user. Admin is in charge of managing E-Marketplace and has full access rights. MSMEs can register online and manage their products in E-Marketplace. Users or buyers can search data in E-Marketplace as desired. To make transactions, users can interact directly with MSMEs according to the data provided in E-Marketplace. E-Marketplace can be used for marketing together MSMEs products. This e-marketplace can be accessed at www.umkmonline.com
REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS AM Publications
Remote sensing technology's increasing accessibility helps us observe research and learn about our globe in ways we could only imagine a generation ago. Guides to profound knowledge of historical, conceptual and practical uses of remote sensing which is increasing GIS technology. This paper will go briefly through remote sensing benefits, history, technology and the GIS and remote sensing integration and their applications. Remote sensing (RS) is used in mapping the predicted and actual species and dominates the ecosystem canopy.
EVALUATE THE STRAIN ENERGY ERROR FOR THE LASER WELD BY THE H-REFINEMENT OF TH...AM Publications
Currently, the finite element method (FEM) is still one of the useful tools in numerical simulation for technical problems. With this method, a continuum model presented by a certain number of elements with a simple approximation field causes the presence of discretization error in solutions. This paper considers the butt weld by laser which subjected the tension for AISI 1018 steel highness 8 mm. The aim of the study is to use the h-refinement of the FEM in estimation the strain energy error for the laser weld mentioned. The results show that the stability of the h-refinement shown by the value of the relative error of the strain energy is quite small, specifically; FEM is less than 5.7% and extra is no more than 3.7%.
HMM APPLICATION IN ISOLATED WORD SPEECH RECOGNITIONAM Publications
Speech recognition is always being an all-time trendy topic for discussion and also for researches and we see a major application in our life. This paper provides the work done on the application of Hidden Markov model to implement isolated word speech recognition on MATLAB and to develop and train the system for set of self-selective words for specific user (user dependent) to get maximum efficiency in word recognition system. Which uses the forward and Baum-welch algorithm and fitting Gaussian of the Baum-welch algorithm for all the iteration perform. We use a sample of 7 alphabets which are recorded in 15 different ways giving total of 105 word to use for training with each word with 15 variations. This system can be used in real world in system security using voice security system and mainly for children and impaired people.
PEDESTRIAN DETECTION IN LOW RESOLUTION VIDEOS USING A MULTI-FRAME HOG-BASED D...AM Publications
Detecting pedestrians in low resolution videos is a challenging task, due to the small size of pedestrians in the images and the limited information. In practical outdoor surveillance scenarios the pedestrian size is usually small. Existing state-of-the-art pedestrian detection methods that use histogram of oriented gradient (HOG) features have poor performance in this problem domain. To compensate for the lack of information in a single frame, we propose a novel detection method that recognizes pedestrians in a short sequence of frames. Namely, we take the single-frame HOG-based detector and extend it to multiple frames. Our detector is applied to regions containing potential moving objects. In the case of video taken from a moving camera on an aerial platform, video stabilization is first performed to register the frames. A classifier is then applied to features extracted from spatio-temporal volumes surrounding the potential moving objects. On challenging stationary and aerial video datasets, our detection accuracy outperforms several state-of-the-art algorithms.
The aim of this paper is to help the blind people to identify and catch the public transport vehicles with the help of Light Fidelity technology. It is a Navigation aid. When the bus arrives at the bus stand, transmitter in the bus transmits the light signals and receiver in the stick, receives the light signals and a sound signal is generated through the speaker present in the stick. The sound message contains the bus number and the destination of the bus. In addition to this, if the person is absconded or lost, details of the location will be sent to his/her family members by pressing a button. This is made possible with the help of Global System for Mobile (GSM). Finally, presence of water can be detected along the blind person’s path, with the help of water sensors.
UTILIZATION OF IMMUNIZATION SERVICES AMONG CHILDREN UNDER FIVE YEARS OF AGE I...AM Publications
Immunization is the key strategy to curb communicable diseases which are the number one killer of children under five. Immunization prevents mortalities of approximating three million children under five annually. This study aimed to assess utilization of immunization services among children under five of age in Kirinyaga County, Kenya.
REPRESENTATION OF THE BLOCK DATA ENCRYPTION ALGORITHM IN AN ANALYTICAL FORM F...AM Publications
The article presents the study of cryptographic transformations of the Kuznyechik algorithm in relation to differential analysis and the translation of their representations into a more convenient form for cryptanalysis. A simplification of the type of transformations of the algorithm to algebraic the form, in which cryptanalysis software will be more effective. Since the description of the algorithm in the analytical form allows for 16 cycles of execution of the shift register with linear feedback, each of which will be carried out 16 operations of multiplication and 15 operations of addition, reduced to 16 multiplying and 15 the operations of addition. The result is an algebraic form of a linear transformation (from a shift register with linear feedback to the multiplication of the matrix in a finite field). In the future, the algebraic type of transformation can be used to effectively carry out differential cryptanalysis.
Optical character recognition (OCR) is process of classification of optical patterns contained in a digital image. The process of OCR Recognition involves several steps including pre-processing, segmentation, feature extraction, classification. Pre-processing is for done the basic operation on input image like noise reduction which remove the noisy signal from image. Segmentation stage for segment the given image into line by line and segment each character from segmented line. Future extraction calculates the characteristics of character. A Radial Basis Function Neural Network (RBFNN) is used to classification contains the database and does the comparison.
Surveillance refers to the task of observing a scene, often for lengthy periods in search of particular objects or particular behaviour. This task has many applications, foremost among them is security (monitoring for undesirable behaviour such as theft or vandalism), but increasing numbers of others in areas such as agriculture also exist. Historically, closed circuit TV (CCTV) surveillance has been mundane and labour Intensive, involving personnel scanning multiple screens, but the advent of reasonably priced fast hardware means that automatic surveillance is becoming a realistic task to attempt in real time. Several attempts at this are underway.
SIMULATION OF ATMOSPHERIC POLLUTANTS DISPERSION IN AN URBAN ENVIRONMENTAM Publications
Interest in air pollution investigation of urban environment due to existence of industrial and commercial activities along with vehicular emission and existence of buildings and streets which setup natural barrier for pollutant dispersion in the urban environment has increased. The air pollution modelling is a multidisciplinary subject when the entire cities are taken under consideration where urban planning and geometries are complex which needs a large software packages to be developed like Operational Street Pollution Model (OSPM), California Line Source model (CALINE series) etc. On overviewing various works it can be summarized that the air pollutant dispersion in urban street canyons and all linked phenomenon such as wind flow, pollutant concentrations, temperature distribution etc. generally depend on wind speed and direction, building heights and density, road width, source and intensity of air pollution, meteorological variables like temperature, humidity etc. A unique and surprising case is observed every time on numerous combinations of these factors. The main aim of this study is to simulate the atmospheric pollutant dispersion for given pollutant like carbon monoxide, sulphur dioxide and nitrogen dioxide and given atmospheric conditions like wind speed and direction. Computational Fluid Dynamics (CFD) simulation for analysing the atmospheric pollutant dispersion is done after natural airflow analysis. Volume rendering is done for variables such as phase 2 volume fraction and velocity with resolution as 250 pixels per inch and transparency as 20%. It can be observed that all the three pollutant namely nitrogen dioxide, sulphur dioxide and carbon monoxide the phase 2 volume fraction changes from 0 to 1. The wind velocity changes from 3.395×10-13 m/s to 1.692×102 m/s. The dispersion of pollutants follow the sequence Sulphur dioxide>Carbon monoxide>Nitrogen dioxide.
PREPARATION AND EVALUATION OF WOOL KERATIN BASED CHITOSAN NANOFIBERS FOR AIR ...AM Publications
In this article, we have extracted keratin from deccani wool waste and prepared the wool keratin based Chitosan nanofibers by electrospinning technique. The prepared nanofibers mat were prepared with different weight percent ratio like 1wt.%, 3wt.% and 5wt.% with respect to polymer i.e Chitosan. The physicochemical and filtration properties of wool keratin based Chitosan nanofibers were studied. Wool keratin based Chitosan nanofibers were characterized by Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), differential scanning calorimetry (DSC) and scanning electron microscopy (FESEM). The filtration efficiency of keratin Chitosan nanofibers were investigated through DOP test and heavy metal removal capacity of evaluated through Atomic absorption spectroscopy. FTIR results were showed that Keratin gets compatible with Chitosan. XRD patterns revealed keratin was in crystalline nature and increase the crystalline nature of Chitosan nanofibers. FESEM images showed that uniform nanofibers generation with average fiber diameter 80nm. Nanofibers filtration efficiency against a particulate matter in air was obtained more than 99.53% and excellent property of removal of heavy metal.
ANALYSIS ON LOAD BALANCING ALGORITHMS IMPLEMENTATION ON CLOUD COMPUTING ENVIR...AM Publications
Cloud computing means storing and accessing data and programs over the Internet instead of your computer's hard drive. The cloud is just a metaphor for the Internet. The elements involved in cloud computing are clients, data center and distributed server. One of the main problems in cloud computing is load balancing. Balancing the load means to distribute the workload among several nodes evenly so that no single node will be overloaded. Load can be of any type that is it can be CPU load, memory capacity or network load. In this paper we presented an architecture of load balancing and algorithm which will further improve the load balancing problem by minimizing the response time. In this paper, we have proposed the enhanced version of existing regulated load balancing approach for cloud computing by comping the Randomization and greedy load balancing algorithm. To check the performance of proposed approach, we have used the cloud analyst simulator (Cloud Analyst). Through simulation analysis, it has been found that proposed improved version of regulated load balancing approach has shown better performance in terms of cost, response time and data processing time.
A MODEL BASED APPROACH FOR IMPLEMENTING WLAN SECURITY AM Publications
This paper presents various security features and configurations commonly implemented in WLANs and their aggregated security levels and then proposes a model that enables implementation and evaluation of WLAN security
DATA MINING WITH CLUSTERING ON BIG DATA FOR SHOPPING MALL’S DATASETAM Publications
Big Data is the extremely large sets of data that their sizes are beyond the ability of capturing, managing, processing and storage by most software tools and people which is ever increasing day-by-day. In most enterprise scenarios the data is too big or it moves too fast that extremely exceeds current processing capacity. The term big data is also used by vendors, may refer to the technology which includes tools and processes that an organization requires to handle the large amounts of data and storage facilities. This advancement in technology leads to make relationship marketing a reality for today’s competitive world. But at the same time this huge amount of data cannot be analyzed in a traditional manner, by using manual data analysis. For this, technologies such as data warehousing and data mining have made customer relationship management as a new area where business firms can gain a competitive advantage for identifying their customer behaviors and needs. This paper mainly focuses on data mining technique that performs the extraction of hidden predictive information from large databases and organizations can identify valuable customers and predicts future user behaviors. This enables different organizations to make proactive, knowledge-driven decisions. Data mining tools answer business questions that in the past were too time-consuming, this makes customer relationship management possible. For this in this paper, we are trying explain the use of data mining technique to accomplish the goals of today’s customer relationship management and Decision making for different companies that deals with big data.
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
The Internet of Things (IoT) is a revolutionary concept that connects everyday objects and devices to the internet, enabling them to communicate, collect, and exchange data. Imagine a world where your refrigerator notifies you when you’re running low on groceries, or streetlights adjust their brightness based on traffic patterns – that’s the power of IoT. In essence, IoT transforms ordinary objects into smart, interconnected devices, creating a network of endless possibilities.
Here is a blog on the role of electrical and electronics engineers in IOT. Let's dig in!!!!
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