Performance Evaluation Of Ontology And Fuzzybase Cbiracijjournal
In This Paper, We Have Done Performance Evaluation Of Ontology Using Low-Level Features Like
Color, Texture And Shape Based Cbir, With Topic Specific Cbir.The Resulting Ontology Can Be Used
To Extract The Appropriate Images From The Image Database. Retrieving Appropriate Images From An
Image Database Is One Of The Difficult Tasks In Multimedia Technology. Our Results Show That The
Values Of Recall And Precision Can Be Enhanced And This Also Shows That Semantic Gap Can Also Be
Reduced. The Proposed Algorithm Also Extracts The Texture Values From The Images Automatically
With Also Its Category (Like Smooth, Course Etc) As Well As Its Technical Interpretation
This document discusses GUI tools for text mining and natural language processing. It covers topics like using Weka to analyze CSV and ARFF format data files, building classification models with algorithms like decision trees and SVMs, evaluating models with cross-validation, and extracting confusion matrices and performance metrics. GUI tools mentioned include Weka and Python. The document also provides some example code and links to resources for Japanese text analysis.
The document discusses ethical hacking and countermeasures. It defines ethical hacking as independent computer security professionals evaluating target systems' security by trying to find vulnerabilities without damaging systems or stealing information. It outlines the agenda which includes what ethical hacking is, who ethical hackers are, common targets, and types of security testing. The summary concludes by mentioning the final report includes discoveries, advice, and steps for clients without revealing the testers' techniques.
Feature selection on boolean symbolic objectsijcsity
With the boom in IT technology, the data sets used in
application are more and more larger and are
described by a huge number of attributes, therefore, the feature selection become an important discipline in
Knowle
dge discovery and data mining, allowing the experts
to select the most relevant features to impr
ove
the quality of their studies and to reduce the time processing of their algorithm. In addition to that, the data
used by the applications become richer. They are now represented by a set of complex and structured
objects, instead of simple numerical ma
trixes. The purpose of
our
algorithm is to do feature selection on
rich data,
called Boolean Symbolic Objects
(BSOs)
. These objects are desc
ribed by multivalued features.
The
BSOs
are considered as higher level units which can model complex data, such as c
luster of
individuals, aggregated data or taxonomies. In this paper we will introduce a new feature selection
criterion for
BSOs
, and we will explain
how we improved its complexity.
The document discusses network survivability and protection techniques in optical networks. It covers protection in ring networks like UPSR and BLSR, protection in mesh networks using path and line protection, and multi-layer network resilience. The key aspects are the need for fast restoration at the optical layer to minimize outage times, different protection schemes, and the interaction between layers for resilient multi-layer networks.
A novel hybrid method for the Segmentation of the coronary artery tree In 2d ...ijcsit
The document describes a novel hybrid method for segmenting the coronary artery tree in 2D angiograms. The method uses a combination of region growing and differential geometry. It first applies contrast enhancement using CLAHE. Then it performs region growing starting from user-selected seed points. A vessel resemblance function is used to automatically select additional seed points. Connected components analysis is used to identify the main coronary artery tree. Evaluation on a database shows the method identifies around 90% of the coronary artery tree on average.
EcoSAR will be the first airborne P-band digital beamforming polarimetric interferometric SAR to quantify ecosystem structure, biomass, and surface water. It will fly on NASA's P3 airplane and measure biomass up to 200 Mg/ha and canopy heights to 1m accuracy. These measurements will help validate future satellite missions and improve carbon estimates. EcoSAR's design includes dual 25m baseline antennas, 435MHz center frequency, and high resolution science mode of 1.3m. Its main objectives are to measure biomass, height, ecosystem structure over disturbances, and support international carbon initiatives. P-band is well-suited for this as its long wavelength penetrates canopies. The instrument
The document discusses the objectives and methodology of the euroFOT project, which aims to test in-vehicle systems through large-scale field operational tests. It outlines the work packages and tasks within SP2, which focuses on in-vehicle systems for driving support. Examples of functions to be tested include adaptive cruise control, with hypotheses that it may decrease incidents by providing early warnings to drivers, and increase time to reach the brake pedal by allowing drivers to keep their foot in a comfortable position away from the pedal.
Performance Evaluation Of Ontology And Fuzzybase Cbiracijjournal
In This Paper, We Have Done Performance Evaluation Of Ontology Using Low-Level Features Like
Color, Texture And Shape Based Cbir, With Topic Specific Cbir.The Resulting Ontology Can Be Used
To Extract The Appropriate Images From The Image Database. Retrieving Appropriate Images From An
Image Database Is One Of The Difficult Tasks In Multimedia Technology. Our Results Show That The
Values Of Recall And Precision Can Be Enhanced And This Also Shows That Semantic Gap Can Also Be
Reduced. The Proposed Algorithm Also Extracts The Texture Values From The Images Automatically
With Also Its Category (Like Smooth, Course Etc) As Well As Its Technical Interpretation
This document discusses GUI tools for text mining and natural language processing. It covers topics like using Weka to analyze CSV and ARFF format data files, building classification models with algorithms like decision trees and SVMs, evaluating models with cross-validation, and extracting confusion matrices and performance metrics. GUI tools mentioned include Weka and Python. The document also provides some example code and links to resources for Japanese text analysis.
The document discusses ethical hacking and countermeasures. It defines ethical hacking as independent computer security professionals evaluating target systems' security by trying to find vulnerabilities without damaging systems or stealing information. It outlines the agenda which includes what ethical hacking is, who ethical hackers are, common targets, and types of security testing. The summary concludes by mentioning the final report includes discoveries, advice, and steps for clients without revealing the testers' techniques.
Feature selection on boolean symbolic objectsijcsity
With the boom in IT technology, the data sets used in
application are more and more larger and are
described by a huge number of attributes, therefore, the feature selection become an important discipline in
Knowle
dge discovery and data mining, allowing the experts
to select the most relevant features to impr
ove
the quality of their studies and to reduce the time processing of their algorithm. In addition to that, the data
used by the applications become richer. They are now represented by a set of complex and structured
objects, instead of simple numerical ma
trixes. The purpose of
our
algorithm is to do feature selection on
rich data,
called Boolean Symbolic Objects
(BSOs)
. These objects are desc
ribed by multivalued features.
The
BSOs
are considered as higher level units which can model complex data, such as c
luster of
individuals, aggregated data or taxonomies. In this paper we will introduce a new feature selection
criterion for
BSOs
, and we will explain
how we improved its complexity.
The document discusses network survivability and protection techniques in optical networks. It covers protection in ring networks like UPSR and BLSR, protection in mesh networks using path and line protection, and multi-layer network resilience. The key aspects are the need for fast restoration at the optical layer to minimize outage times, different protection schemes, and the interaction between layers for resilient multi-layer networks.
A novel hybrid method for the Segmentation of the coronary artery tree In 2d ...ijcsit
The document describes a novel hybrid method for segmenting the coronary artery tree in 2D angiograms. The method uses a combination of region growing and differential geometry. It first applies contrast enhancement using CLAHE. Then it performs region growing starting from user-selected seed points. A vessel resemblance function is used to automatically select additional seed points. Connected components analysis is used to identify the main coronary artery tree. Evaluation on a database shows the method identifies around 90% of the coronary artery tree on average.
EcoSAR will be the first airborne P-band digital beamforming polarimetric interferometric SAR to quantify ecosystem structure, biomass, and surface water. It will fly on NASA's P3 airplane and measure biomass up to 200 Mg/ha and canopy heights to 1m accuracy. These measurements will help validate future satellite missions and improve carbon estimates. EcoSAR's design includes dual 25m baseline antennas, 435MHz center frequency, and high resolution science mode of 1.3m. Its main objectives are to measure biomass, height, ecosystem structure over disturbances, and support international carbon initiatives. P-band is well-suited for this as its long wavelength penetrates canopies. The instrument
The document discusses the objectives and methodology of the euroFOT project, which aims to test in-vehicle systems through large-scale field operational tests. It outlines the work packages and tasks within SP2, which focuses on in-vehicle systems for driving support. Examples of functions to be tested include adaptive cruise control, with hypotheses that it may decrease incidents by providing early warnings to drivers, and increase time to reach the brake pedal by allowing drivers to keep their foot in a comfortable position away from the pedal.
The document outlines a presentation on fundraising beyond membership dues for business district associations. It discusses assessing an organization's readiness, creating a fundraising plan, implementing the plan, and measuring success. The presentation covers determining needs and goals, developing strategies for individual donations, corporate sponsorships, and product revenue. It also addresses creating a budget, timeline, and evaluation for the fundraising plan. Finally, it emphasizes that fundraising requires having a plan and building relationships with members and the community.
Eleven in-one lcd monitor cctv camera ptz test testeraras189
This document provides information about an eleven-in-one LCD monitor CCTV camera PTZ test tester. It lists features of the product such as testing video levels, controlling PTZ cameras, generating colorbars, testing LAN cables, and more. Specifications of the product are also provided, such as its dimensions, battery life, temperature range, and included accessories. The document encourages purchasing from the website by highlighting guarantees of low prices, high quality products, and secure shopping.
This document discusses the use of cyclic prefixes in OFDM transmission to mitigate inter-block interference caused by multipath propagation. It contains the following key points:
1) OFDM divides the frequency band into multiple narrow sub-carriers to combat frequency selectivity of channels. Cyclic prefixes are added to prevent interference between blocks.
2) The last samples of each OFDM symbol are copied and prefixed to form the cyclic prefix, which absorbs multipath interference from previous symbols.
3) At the receiver, the cyclic prefix is removed and the remaining samples are processed. The cyclic prefix prevents symbol spreading during convolution with the channel, allowing independent processing of each block.
Management mistakes and liability in serbian insolvency proceedingsBranko Radulović
This document discusses several topics related to insolvency proceedings and management liability in Serbia:
1. Creditors and bankruptcy administrators can contest certain legal actions taken by debtors, such as transactions that obstruct equal settlement or favor specific creditors.
2. Criminal liability may exist for actions that cause bankruptcy through irrational spending or concealing assets, or cause a "false" bankruptcy. However, criminal sanctions are rarely realized in practice.
3. Other sanctions for managers include prohibitions on performing duties or managerial positions related to the mishandled assets.
4. The government plans to establish a register of disqualified directors.
This document summarizes the Soil Moisture Active Passive (SMAP) combined radar-radiometer soil moisture retrieval algorithm. The algorithm uses a linear relationship between radar backscatter and radiometer brightness temperature to disaggregate coarse resolution radiometer data to a 9km resolution soil moisture product. It incorporates radar cross-polarization measurements to account for heterogeneity in vegetation and surface roughness. Validation using airborne data shows the algorithm meets SMAP's soil moisture accuracy requirements of 0.033 cm3/cm3. Future work includes optimizing the temporal window and developing error budgets and parameter databases.
The document provides 11 tips to optimize multi-channel marketing campaigns. Tip 1 is to clearly define "sales-ready" leads by outlining criteria for different lead stages and types. Tip 2 is to map the end-to-end buying, selling, and demand generation processes. Tip 3 is to ensure accuracy of prospect data by standardizing the database. The document outlines action items to implement each tip and maximize lead generation from marketing campaigns.
A study used numerical simulations to retrieve sea surface heights from low grazing angle radar Doppler measurements. Simulations showed good correlation between true and retrieved heights in visible and shadowed regions. Analysis of Doppler spectra versus range found discrete behavior correlated to orbital velocity statistics. Less Doppler spectrum dispersion was observed in vertical polarization than horizontal. Comparison of full wave model and physical optics approximations found little multi-path effect on retrievals in visible regions, and Doppler centroids still provided height information in shadowed regions.
International Journal of Computational Engineering Research(IJCER)ijceronline
This document discusses the implementation of an OFDM kernel for WiMAX systems. It begins with an introduction to OFDM and how it is used in WiMAX networks. It then provides an overview of the key components in the WiMAX physical layer, including bit-level processing, OFDMA symbol-level processing, and digital intermediate frequency processing blocks. It specifically focuses on the OFDM kernel, which includes the inverse fast Fourier transform, cyclic prefix insertion, fast Fourier transform, and cyclic prefix removal blocks. Finally, it discusses how FPGAs are well-suited for implementing OFDM kernels due to their high speed complex multiplication capabilities.
In olden days for controlling the manufacturing processes relays were used. Because of excessive consumption of power it is difficult to figure out the linked problems with it, therefore it must be regularly replaced. To solve the problems, Programmable Logic Controller was unveiled. For more information join the electrical automation course to make your career in this field.
In olden days for controlling the manufacturing processes relays were used. Because of excessive consumption of power it is difficult to figure out the linked problems with it, therefore it must be regularly replaced. To solve the problems, Programmable Logic Controller was unveiled. For more information join the electrical automation course to make your career in this field.
In olden days for controlling the manufacturing processes relays were used. Because of excessive consumption of power it is difficult to figure out the linked problems with it, therefore it must be regularly replaced. To solve the problems, Programmable Logic Controller was unveiled. For more information join the electrical automation course to make your career in this field.
In olden days for controlling the manufacturing processes relays were used. Because of excessive consumption of power it is difficult to figure out the linked problems with it, therefore it must be regularly replaced. To solve the problems, Programmable Logic Controller was unveiled. For more information join the electrical automation course to make your career in this field.
In olden days for controlling the manufacturing processes relays were used. Because of excessive consumption of power it is difficult to figure out the linked problems with it, therefore it must be regularly replaced. To solve the problems, Programmable Logic Controller was unveiled. For more information join the electrical automation course to make your career in this field.
In olden days for controlling the manufacturing processes relays were used. Because of excessive consumption of power it is difficult to figure out the linked problems with it, therefore it must be regularly replaced. To solve the problems, Programmable Logic Controller was unveiled. For more information join the electrical automation course to make your career in this field.
E2Matrix Jalandhar provides Best Big Data training based on current industry standards that helps attendees to secure placements in their dream jobs at MNCs. E2Matrix Provides Best Big Data Training in Jalandhar Amritsar Ludhiana Phagwara Mohali Chandigarh. E2Matrix is one of the best Big Data training institute offering hands on practical knowledge. At E2Matrix Big Data training is conducted by subject specialist corporate professionals best experience in managing real-time Big Data projects. E2Matrix implements a blend of academic learning and practical sessions to give the student optimum exposure. At E2Matrix’s well-equipped Big Data training Institute aspirants learn the skills for Big Data Overview, Use Cases, Data Analytics Process, Data Preparation, Tools for Data Preparation, Hands on Exercise : Using SQL and NoSql DB's, Hands on Exercise : Usage of Tools, Data Analysis Introduction, Classification, Data Visualization using R, Automation Testing Training on real time projects.
E2Matrix Jalandhar provides Best Big Data training based on current industry standards that helps attendees to secure placements in their dream jobs at MNCs. E2Matrix Provides Best Big Data Training in Jalandhar Amritsar Ludhiana Phagwara Mohali Chandigarh. E2Matrix is one of the best Big Data training institute offering hands on practical knowledge. At E2Matrix Big Data training is conducted by subject specialist corporate professionals best experience in managing real-time Big Data projects. E2Matrix implements a blend of academic learning and practical sessions to give the student optimum exposure. At E2Matrix’s well-equipped Big Data training Institute aspirants learn the skills for Big Data Overview, Use Cases, Data Analytics Process, Data Preparation, Tools for Data Preparation, Hands on Exercise : Using SQL and NoSql DB's, Hands on Exercise : Usage of Tools, Data Analysis Introduction, Classification, Data Visualization using R, Automation Testing Training on real time projects.
E2Matrix Jalandhar provides Best Big Data training based on current industry standards that helps attendees to secure placements in their dream jobs at MNCs. E2Matrix Provides Best Big Data Training in Jalandhar Amritsar Ludhiana Phagwara Mohali Chandigarh. E2Matrix is one of the best Big Data training institute offering hands on practical knowledge. At E2Matrix Big Data training is conducted by subject specialist corporate professionals best experience in managing real-time Big Data projects. E2Matrix implements a blend of academic learning and practical sessions to give the student optimum exposure. At E2Matrix’s well-equipped Big Data training Institute aspirants learn the skills for Big Data Overview, Use Cases, Data Analytics Process, Data Preparation, Tools for Data Preparation, Hands on Exercise : Using SQL and NoSql DB's, Hands on Exercise : Usage of Tools, Data Analysis Introduction, Classification, Data Visualization using R, Automation Testing Training on real time projects.
The course helps you gain an advanced level understanding of Machine Learning application and algorithm like regression, clustering, classification, and prediction. It also covers deep learning and Spark Machine learning. The course includes 2 industry-based projects on designing recommendation and prediction system. It’s best suited for data scientists and analytics professionals.
The course helps you gain an advanced level understanding of Machine Learning application and algorithm like regression, clustering, classification, and prediction. It also covers deep learning and Spark Machine learning. The course includes 2 industry-based projects on designing recommendation and prediction system. It’s best suited for data scientists and analytics professionals.
The course helps you gain an advanced level understanding of Machine Learning application and algorithm like regression, clustering, classification, and prediction. It also covers deep learning and Spark Machine learning. The course includes 2 industry-based projects on designing recommendation and prediction system. It’s best suited for data scientists and analytics professionals.
The course helps you gain an advanced level understanding of Machine Learning application and algorithm like regression, clustering, classification, and prediction. It also covers deep learning and Spark Machine learning. The course includes 2 industry-based projects on designing recommendation and prediction system. It’s best suited for data scientists and analytics professionals.
The course helps you gain an advanced level understanding of Machine Learning application and algorithm like regression, clustering, classification, and prediction. It also covers deep learning and Spark Machine learning. The course includes 2 industry-based projects on designing recommendation and prediction system. It’s best suited for data scientists and analytics professionals.
The document outlines a presentation on fundraising beyond membership dues for business district associations. It discusses assessing an organization's readiness, creating a fundraising plan, implementing the plan, and measuring success. The presentation covers determining needs and goals, developing strategies for individual donations, corporate sponsorships, and product revenue. It also addresses creating a budget, timeline, and evaluation for the fundraising plan. Finally, it emphasizes that fundraising requires having a plan and building relationships with members and the community.
Eleven in-one lcd monitor cctv camera ptz test testeraras189
This document provides information about an eleven-in-one LCD monitor CCTV camera PTZ test tester. It lists features of the product such as testing video levels, controlling PTZ cameras, generating colorbars, testing LAN cables, and more. Specifications of the product are also provided, such as its dimensions, battery life, temperature range, and included accessories. The document encourages purchasing from the website by highlighting guarantees of low prices, high quality products, and secure shopping.
This document discusses the use of cyclic prefixes in OFDM transmission to mitigate inter-block interference caused by multipath propagation. It contains the following key points:
1) OFDM divides the frequency band into multiple narrow sub-carriers to combat frequency selectivity of channels. Cyclic prefixes are added to prevent interference between blocks.
2) The last samples of each OFDM symbol are copied and prefixed to form the cyclic prefix, which absorbs multipath interference from previous symbols.
3) At the receiver, the cyclic prefix is removed and the remaining samples are processed. The cyclic prefix prevents symbol spreading during convolution with the channel, allowing independent processing of each block.
Management mistakes and liability in serbian insolvency proceedingsBranko Radulović
This document discusses several topics related to insolvency proceedings and management liability in Serbia:
1. Creditors and bankruptcy administrators can contest certain legal actions taken by debtors, such as transactions that obstruct equal settlement or favor specific creditors.
2. Criminal liability may exist for actions that cause bankruptcy through irrational spending or concealing assets, or cause a "false" bankruptcy. However, criminal sanctions are rarely realized in practice.
3. Other sanctions for managers include prohibitions on performing duties or managerial positions related to the mishandled assets.
4. The government plans to establish a register of disqualified directors.
This document summarizes the Soil Moisture Active Passive (SMAP) combined radar-radiometer soil moisture retrieval algorithm. The algorithm uses a linear relationship between radar backscatter and radiometer brightness temperature to disaggregate coarse resolution radiometer data to a 9km resolution soil moisture product. It incorporates radar cross-polarization measurements to account for heterogeneity in vegetation and surface roughness. Validation using airborne data shows the algorithm meets SMAP's soil moisture accuracy requirements of 0.033 cm3/cm3. Future work includes optimizing the temporal window and developing error budgets and parameter databases.
The document provides 11 tips to optimize multi-channel marketing campaigns. Tip 1 is to clearly define "sales-ready" leads by outlining criteria for different lead stages and types. Tip 2 is to map the end-to-end buying, selling, and demand generation processes. Tip 3 is to ensure accuracy of prospect data by standardizing the database. The document outlines action items to implement each tip and maximize lead generation from marketing campaigns.
A study used numerical simulations to retrieve sea surface heights from low grazing angle radar Doppler measurements. Simulations showed good correlation between true and retrieved heights in visible and shadowed regions. Analysis of Doppler spectra versus range found discrete behavior correlated to orbital velocity statistics. Less Doppler spectrum dispersion was observed in vertical polarization than horizontal. Comparison of full wave model and physical optics approximations found little multi-path effect on retrievals in visible regions, and Doppler centroids still provided height information in shadowed regions.
International Journal of Computational Engineering Research(IJCER)ijceronline
This document discusses the implementation of an OFDM kernel for WiMAX systems. It begins with an introduction to OFDM and how it is used in WiMAX networks. It then provides an overview of the key components in the WiMAX physical layer, including bit-level processing, OFDMA symbol-level processing, and digital intermediate frequency processing blocks. It specifically focuses on the OFDM kernel, which includes the inverse fast Fourier transform, cyclic prefix insertion, fast Fourier transform, and cyclic prefix removal blocks. Finally, it discusses how FPGAs are well-suited for implementing OFDM kernels due to their high speed complex multiplication capabilities.
In olden days for controlling the manufacturing processes relays were used. Because of excessive consumption of power it is difficult to figure out the linked problems with it, therefore it must be regularly replaced. To solve the problems, Programmable Logic Controller was unveiled. For more information join the electrical automation course to make your career in this field.
In olden days for controlling the manufacturing processes relays were used. Because of excessive consumption of power it is difficult to figure out the linked problems with it, therefore it must be regularly replaced. To solve the problems, Programmable Logic Controller was unveiled. For more information join the electrical automation course to make your career in this field.
In olden days for controlling the manufacturing processes relays were used. Because of excessive consumption of power it is difficult to figure out the linked problems with it, therefore it must be regularly replaced. To solve the problems, Programmable Logic Controller was unveiled. For more information join the electrical automation course to make your career in this field.
In olden days for controlling the manufacturing processes relays were used. Because of excessive consumption of power it is difficult to figure out the linked problems with it, therefore it must be regularly replaced. To solve the problems, Programmable Logic Controller was unveiled. For more information join the electrical automation course to make your career in this field.
In olden days for controlling the manufacturing processes relays were used. Because of excessive consumption of power it is difficult to figure out the linked problems with it, therefore it must be regularly replaced. To solve the problems, Programmable Logic Controller was unveiled. For more information join the electrical automation course to make your career in this field.
In olden days for controlling the manufacturing processes relays were used. Because of excessive consumption of power it is difficult to figure out the linked problems with it, therefore it must be regularly replaced. To solve the problems, Programmable Logic Controller was unveiled. For more information join the electrical automation course to make your career in this field.
E2Matrix Jalandhar provides Best Big Data training based on current industry standards that helps attendees to secure placements in their dream jobs at MNCs. E2Matrix Provides Best Big Data Training in Jalandhar Amritsar Ludhiana Phagwara Mohali Chandigarh. E2Matrix is one of the best Big Data training institute offering hands on practical knowledge. At E2Matrix Big Data training is conducted by subject specialist corporate professionals best experience in managing real-time Big Data projects. E2Matrix implements a blend of academic learning and practical sessions to give the student optimum exposure. At E2Matrix’s well-equipped Big Data training Institute aspirants learn the skills for Big Data Overview, Use Cases, Data Analytics Process, Data Preparation, Tools for Data Preparation, Hands on Exercise : Using SQL and NoSql DB's, Hands on Exercise : Usage of Tools, Data Analysis Introduction, Classification, Data Visualization using R, Automation Testing Training on real time projects.
E2Matrix Jalandhar provides Best Big Data training based on current industry standards that helps attendees to secure placements in their dream jobs at MNCs. E2Matrix Provides Best Big Data Training in Jalandhar Amritsar Ludhiana Phagwara Mohali Chandigarh. E2Matrix is one of the best Big Data training institute offering hands on practical knowledge. At E2Matrix Big Data training is conducted by subject specialist corporate professionals best experience in managing real-time Big Data projects. E2Matrix implements a blend of academic learning and practical sessions to give the student optimum exposure. At E2Matrix’s well-equipped Big Data training Institute aspirants learn the skills for Big Data Overview, Use Cases, Data Analytics Process, Data Preparation, Tools for Data Preparation, Hands on Exercise : Using SQL and NoSql DB's, Hands on Exercise : Usage of Tools, Data Analysis Introduction, Classification, Data Visualization using R, Automation Testing Training on real time projects.
E2Matrix Jalandhar provides Best Big Data training based on current industry standards that helps attendees to secure placements in their dream jobs at MNCs. E2Matrix Provides Best Big Data Training in Jalandhar Amritsar Ludhiana Phagwara Mohali Chandigarh. E2Matrix is one of the best Big Data training institute offering hands on practical knowledge. At E2Matrix Big Data training is conducted by subject specialist corporate professionals best experience in managing real-time Big Data projects. E2Matrix implements a blend of academic learning and practical sessions to give the student optimum exposure. At E2Matrix’s well-equipped Big Data training Institute aspirants learn the skills for Big Data Overview, Use Cases, Data Analytics Process, Data Preparation, Tools for Data Preparation, Hands on Exercise : Using SQL and NoSql DB's, Hands on Exercise : Usage of Tools, Data Analysis Introduction, Classification, Data Visualization using R, Automation Testing Training on real time projects.
The course helps you gain an advanced level understanding of Machine Learning application and algorithm like regression, clustering, classification, and prediction. It also covers deep learning and Spark Machine learning. The course includes 2 industry-based projects on designing recommendation and prediction system. It’s best suited for data scientists and analytics professionals.
The course helps you gain an advanced level understanding of Machine Learning application and algorithm like regression, clustering, classification, and prediction. It also covers deep learning and Spark Machine learning. The course includes 2 industry-based projects on designing recommendation and prediction system. It’s best suited for data scientists and analytics professionals.
The course helps you gain an advanced level understanding of Machine Learning application and algorithm like regression, clustering, classification, and prediction. It also covers deep learning and Spark Machine learning. The course includes 2 industry-based projects on designing recommendation and prediction system. It’s best suited for data scientists and analytics professionals.
The course helps you gain an advanced level understanding of Machine Learning application and algorithm like regression, clustering, classification, and prediction. It also covers deep learning and Spark Machine learning. The course includes 2 industry-based projects on designing recommendation and prediction system. It’s best suited for data scientists and analytics professionals.
The course helps you gain an advanced level understanding of Machine Learning application and algorithm like regression, clustering, classification, and prediction. It also covers deep learning and Spark Machine learning. The course includes 2 industry-based projects on designing recommendation and prediction system. It’s best suited for data scientists and analytics professionals.
The course helps you gain an advanced level understanding of Machine Learning application and algorithm like regression, clustering, classification, and prediction. It also covers deep learning and Spark Machine learning. The course includes 2 industry-based projects on designing recommendation and prediction system. It’s best suited for data scientists and analytics professionals.
The Raspberry Pi is a credit-card sized computer
It can be plugged into your TV and a keyboard, and can be used for many of the things that your average desktop does - spreadsheets, word-processing, games and it also plays high-definition video.
measuring approximately 9cm x 5.5cm
History : The Raspberry Pi is the work of the Raspberry Pi Foundation, a charitable organisation.
UK registered charity (No. 1129409), May 2009
It's supported by the University of Cambridge Computer Laboratory and tech firm Broadcomm
Motivation : Computer science skills increasingly important
Decline in CS student numbers
Access to computers
Computers are the tool of the 21st century
Computer Science is concerned with much more than simply being able to use a computer.
Children should understand how they work and how to program them
The Raspberry Pi is a credit-card sized computer
It can be plugged into your TV and a keyboard, and can be used for many of the things that your average desktop does - spreadsheets, word-processing, games and it also plays high-definition video.
measuring approximately 9cm x 5.5cm
History : The Raspberry Pi is the work of the Raspberry Pi Foundation, a charitable organisation.
UK registered charity (No. 1129409), May 2009
It's supported by the University of Cambridge Computer Laboratory and tech firm Broadcomm
Motivation : Computer science skills increasingly important
Decline in CS student numbers
Access to computers
Computers are the tool of the 21st century
Computer Science is concerned with much more than simply being able to use a computer.
Children should understand how they work and how to program them
The Raspberry Pi is a credit-card sized computer
It can be plugged into your TV and a keyboard, and can be used for many of the things that your average desktop does - spreadsheets, word-processing, games and it also plays high-definition video.
measuring approximately 9cm x 5.5cm
History : The Raspberry Pi is the work of the Raspberry Pi Foundation, a charitable organisation.
UK registered charity (No. 1129409), May 2009
It's supported by the University of Cambridge Computer Laboratory and tech firm Broadcomm
Motivation : Computer science skills increasingly important
Decline in CS student numbers
Access to computers
Computers are the tool of the 21st century
Computer Science is concerned with much more than simply being able to use a computer.
Children should understand how they work and how to program them
The Raspberry Pi is a credit-card sized computer
It can be plugged into your TV and a keyboard, and can be used for many of the things that your average desktop does - spreadsheets, word-processing, games and it also plays high-definition video.
measuring approximately 9cm x 5.5cm
History : The Raspberry Pi is the work of the Raspberry Pi Foundation, a charitable organisation.
UK registered charity (No. 1129409), May 2009
It's supported by the University of Cambridge Computer Laboratory and tech firm Broadcomm
Motivation : Computer science skills increasingly important
Decline in CS student numbers
Access to computers
Computers are the tool of the 21st century
Computer Science is concerned with much more than simply being able to use a computer.
Children should understand how they work and how to program them
The Raspberry Pi is a credit-card sized computer
It can be plugged into your TV and a keyboard, and can be used for many of the things that your average desktop does - spreadsheets, word-processing, games and it also plays high-definition video.
measuring approximately 9cm x 5.5cm
History : The Raspberry Pi is the work of the Raspberry Pi Foundation, a charitable organisation.
UK registered charity (No. 1129409), May 2009
It's supported by the University of Cambridge Computer Laboratory and tech firm Broadcomm
Motivation : Computer science skills increasingly important
Decline in CS student numbers
Access to computers
Computers are the tool of the 21st century
Computer Science is concerned with much more than simply being able to use a computer.
Children should understand how they work and how to program them
ELS: 2.4.1 POWER ELECTRONICS Course objectives: This course will enable stude...Kuvempu University
Introduction - Applications of Power Electronics, Power Semiconductor Devices, Control Characteristics of Power Devices, types of Power Electronic Circuits. Power Transistors: Power BJTs: Steady state characteristics. Power MOSFETs: device operation, switching characteristics, IGBTs: device operation, output and transfer characteristics.
Thyristors - Introduction, Principle of Operation of SCR, Static Anode- Cathode Characteristics of SCR, Two transistor model of SCR, Gate Characteristics of SCR, Turn-ON Methods, Turn-OFF Mechanism, Turn-OFF Methods: Natural and Forced Commutation – Class A and Class B types, Gate Trigger Circuit: Resistance Firing Circuit, Resistance capacitance firing circuit.
Open Channel Flow: fluid flow with a free surfaceIndrajeet sahu
Open Channel Flow: This topic focuses on fluid flow with a free surface, such as in rivers, canals, and drainage ditches. Key concepts include the classification of flow types (steady vs. unsteady, uniform vs. non-uniform), hydraulic radius, flow resistance, Manning's equation, critical flow conditions, and energy and momentum principles. It also covers flow measurement techniques, gradually varied flow analysis, and the design of open channels. Understanding these principles is vital for effective water resource management and engineering applications.
This study Examines the Effectiveness of Talent Procurement through the Imple...DharmaBanothu
In the world with high technology and fast
forward mindset recruiters are walking/showing interest
towards E-Recruitment. Present most of the HRs of
many companies are choosing E-Recruitment as the best
choice for recruitment. E-Recruitment is being done
through many online platforms like Linkedin, Naukri,
Instagram , Facebook etc. Now with high technology E-
Recruitment has gone through next level by using
Artificial Intelligence too.
Key Words : Talent Management, Talent Acquisition , E-
Recruitment , Artificial Intelligence Introduction
Effectiveness of Talent Acquisition through E-
Recruitment in this topic we will discuss about 4important
and interlinked topics which are
Determination of Equivalent Circuit parameters and performance characteristic...pvpriya2
Includes the testing of induction motor to draw the circle diagram of induction motor with step wise procedure and calculation for the same. Also explains the working and application of Induction generator
Impartiality as per ISO /IEC 17025:2017 StandardMuhammadJazib15
This document provides basic guidelines for imparitallity requirement of ISO 17025. It defines in detial how it is met and wiudhwdih jdhsjdhwudjwkdbjwkdddddddddddkkkkkkkkkkkkkkkkkkkkkkkwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwioiiiiiiiiiiiii uwwwwwwwwwwwwwwwwhe wiqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq gbbbbbbbbbbbbb owdjjjjjjjjjjjjjjjjjjjj widhi owqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq uwdhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhwqiiiiiiiiiiiiiiiiiiiiiiiiiiiiw0pooooojjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjj whhhhhhhhhhh wheeeeeeee wihieiiiiii wihe
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We have designed & manufacture the Lubi Valves LBF series type of Butterfly Valves for General Utility Water applications as well as for HVAC applications.
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...PriyankaKilaniya
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
3rd International Conference on Artificial Intelligence Advances (AIAD 2024)GiselleginaGloria
3rd International Conference on Artificial Intelligence Advances (AIAD 2024) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the area advanced Artificial Intelligence. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the research area. Core areas of AI and advanced multi-disciplinary and its applications will be covered during the conferences.
Build the Next Generation of Apps with the Einstein 1 Platform.
Rejoignez Philippe Ozil pour une session de workshops qui vous guidera à travers les détails de la plateforme Einstein 1, l'importance des données pour la création d'applications d'intelligence artificielle et les différents outils et technologies que Salesforce propose pour vous apporter tous les bénéfices de l'IA.
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
A high-Speed Communication System is based on the Design of a Bi-NoC Router, ...DharmaBanothu
The Network on Chip (NoC) has emerged as an effective
solution for intercommunication infrastructure within System on
Chip (SoC) designs, overcoming the limitations of traditional
methods that face significant bottlenecks. However, the complexity
of NoC design presents numerous challenges related to
performance metrics such as scalability, latency, power
consumption, and signal integrity. This project addresses the
issues within the router's memory unit and proposes an enhanced
memory structure. To achieve efficient data transfer, FIFO buffers
are implemented in distributed RAM and virtual channels for
FPGA-based NoC. The project introduces advanced FIFO-based
memory units within the NoC router, assessing their performance
in a Bi-directional NoC (Bi-NoC) configuration. The primary
objective is to reduce the router's workload while enhancing the
FIFO internal structure. To further improve data transfer speed,
a Bi-NoC with a self-configurable intercommunication channel is
suggested. Simulation and synthesis results demonstrate
guaranteed throughput, predictable latency, and equitable
network access, showing significant improvement over previous
designs