The document discusses formulas for calculating the gravitational effects of topographic-isostatic masses on airborne and satellite gravity gradiometry measurements. It derives integral formulas in ellipsoidal approximation for computing the gravitational potential, gradients, and tensor due to various topographic-isostatic models. The formulas separate the computations into spherical and ellipsoidal components. They are applied to calculate the gravitational tensor at GOCE satellite altitude using a 5-arcminute digital elevation model. The approach uses mass-lines to approximate ellipsoidal volume elements for numerical evaluation.
Smoothing of the Surface Estimates from RadarclinometryIRJET Journal
This document summarizes a study that aimed to improve the accuracy of estimating surface heights from radar images using a shape-from-shading technique called radarclinometry. Radarclinometry derives surface heights from variations in shading detected in radar images, but is limited by ambiguity from uncertain radar backscatter properties. The study applied a smoothness constraint to the surface height estimates to remove this ambiguity. The constraint enforced gradual variation in surface normals across the image. Evaluating the technique on a RADARSAT-1 radar image, the study found the final surface height estimates were more accurate after 100 iterations of applying the smoothness constraint, reducing errors compared to estimates without the constraint.
Comparative parametric study of linear and nonlinear behavior of multistory s...eSAT Journals
Abstract The earthquake analysis of multistorey structure is done by linear and nonlinear methods. Response spectrum method of analysis is linear dynamic analysis. For nonlinear dynamic analysis time history method is used. In this paper, response spectrum method is used for linear analysis. For nonlinear analysis, time history method is used. For time history method, time history function of Bhuj earthquake is used. Both the analyses are done using ETABs software. To study seismic behaviour, base shear, time period, storey displacement parameters are studied Keywords: linear analysis, nonlinear analysis, response spectrum method, time history method, ETABs.
Contribution to the investigation of wind characteristics and assessment of w...Université de Dschang
M. Bawe Gerard Nfor, Jr. a soutenu sa thèse de Doctorat/Phd en Physique, option Mécanique-Énergétique ce 19 mai 2016 dans la salle des conférences de l'Université de Dschang. A l'issue de la soutenance, le jury présidé par le Prof. Anaclet Fomethe lui a décerné, à l'unanimité de ses membres, la mention très honorable.
Voici la présentation powerpoint qu'il a effectuée dans le cadre de cette soutenance.
1) Strong ground motion refers to the strong earthquake shaking that occurs close to the causative fault (within about 50 km). It is recorded using accelerometers.
2) Starting in 1976, IIT Roorkee operated a network of over 200 analog strong motion accelerographs across northern India to record strong ground motion.
3) Key ground motion parameters used in structural design include peak ground acceleration (PGA), response spectra, and acceleration time histories. PGA measures the largest acceleration, while response spectra show maximum response of structures of varying frequencies.
Experimental Calculation of the Damping Ratio In Buildings Hosting Permanent GPS Stations During the Recent Italian Earthquakes by Marco Gatti* in Open Journal of Civil Engineering
Comparison among Height Observation of GPS, Total Station and Level and their...IRJET Journal
This document compares the accuracy of GPS, total station, and level instruments for measuring elevation in mining works by using GIS technology. Statistical analysis showed the level measurements had the lowest variation while GPS had the highest. Topographic maps were created from observations from each instrument, showing they produced similar overall elevation patterns. The document concludes that while GPS and total station measurements have some error, their accuracy is sufficient for mining works. GIS allows easy analysis and use of elevation data from any of the three instruments.
02 chapter: Earthquake: Strong Motion and Estimation of Seismic HazardPriodeep Chowdhury
This document discusses strong ground motion from earthquakes and methods for measuring and analyzing it. It describes how modern accelerographs can record ground acceleration digitally up to 100 Hz. Parameters derived from ground motion records are used to analyze earthquake and site characteristics and their impact on structures. Evaluating seismic hazard requires understanding characteristics controlling ground motion as well as the seismicity and tectonics of the surrounding region, using either deterministic or probabilistic approaches.
This document summarizes a study that used satellite imagery to analyze land surface temperatures in recently developed areas of Stratford, London. The study aimed to identify areas affected by recent construction, generate calibrated land surface temperature models from satellite data, and identify problematic hotspot areas through spatial analysis and field measurements. Results found higher temperatures near the Westfield shopping center, Old Stratford station, and along major roads, likely due to anthropogenic heat sources. Microclimate modeling of an area in East Olympic Village showed influence of building materials, shade, and wind on surface temperatures. The study fulfilled its objectives but future work could incorporate additional data sources and validation measurements.
Smoothing of the Surface Estimates from RadarclinometryIRJET Journal
This document summarizes a study that aimed to improve the accuracy of estimating surface heights from radar images using a shape-from-shading technique called radarclinometry. Radarclinometry derives surface heights from variations in shading detected in radar images, but is limited by ambiguity from uncertain radar backscatter properties. The study applied a smoothness constraint to the surface height estimates to remove this ambiguity. The constraint enforced gradual variation in surface normals across the image. Evaluating the technique on a RADARSAT-1 radar image, the study found the final surface height estimates were more accurate after 100 iterations of applying the smoothness constraint, reducing errors compared to estimates without the constraint.
Comparative parametric study of linear and nonlinear behavior of multistory s...eSAT Journals
Abstract The earthquake analysis of multistorey structure is done by linear and nonlinear methods. Response spectrum method of analysis is linear dynamic analysis. For nonlinear dynamic analysis time history method is used. In this paper, response spectrum method is used for linear analysis. For nonlinear analysis, time history method is used. For time history method, time history function of Bhuj earthquake is used. Both the analyses are done using ETABs software. To study seismic behaviour, base shear, time period, storey displacement parameters are studied Keywords: linear analysis, nonlinear analysis, response spectrum method, time history method, ETABs.
Contribution to the investigation of wind characteristics and assessment of w...Université de Dschang
M. Bawe Gerard Nfor, Jr. a soutenu sa thèse de Doctorat/Phd en Physique, option Mécanique-Énergétique ce 19 mai 2016 dans la salle des conférences de l'Université de Dschang. A l'issue de la soutenance, le jury présidé par le Prof. Anaclet Fomethe lui a décerné, à l'unanimité de ses membres, la mention très honorable.
Voici la présentation powerpoint qu'il a effectuée dans le cadre de cette soutenance.
1) Strong ground motion refers to the strong earthquake shaking that occurs close to the causative fault (within about 50 km). It is recorded using accelerometers.
2) Starting in 1976, IIT Roorkee operated a network of over 200 analog strong motion accelerographs across northern India to record strong ground motion.
3) Key ground motion parameters used in structural design include peak ground acceleration (PGA), response spectra, and acceleration time histories. PGA measures the largest acceleration, while response spectra show maximum response of structures of varying frequencies.
Experimental Calculation of the Damping Ratio In Buildings Hosting Permanent GPS Stations During the Recent Italian Earthquakes by Marco Gatti* in Open Journal of Civil Engineering
Comparison among Height Observation of GPS, Total Station and Level and their...IRJET Journal
This document compares the accuracy of GPS, total station, and level instruments for measuring elevation in mining works by using GIS technology. Statistical analysis showed the level measurements had the lowest variation while GPS had the highest. Topographic maps were created from observations from each instrument, showing they produced similar overall elevation patterns. The document concludes that while GPS and total station measurements have some error, their accuracy is sufficient for mining works. GIS allows easy analysis and use of elevation data from any of the three instruments.
02 chapter: Earthquake: Strong Motion and Estimation of Seismic HazardPriodeep Chowdhury
This document discusses strong ground motion from earthquakes and methods for measuring and analyzing it. It describes how modern accelerographs can record ground acceleration digitally up to 100 Hz. Parameters derived from ground motion records are used to analyze earthquake and site characteristics and their impact on structures. Evaluating seismic hazard requires understanding characteristics controlling ground motion as well as the seismicity and tectonics of the surrounding region, using either deterministic or probabilistic approaches.
This document summarizes a study that used satellite imagery to analyze land surface temperatures in recently developed areas of Stratford, London. The study aimed to identify areas affected by recent construction, generate calibrated land surface temperature models from satellite data, and identify problematic hotspot areas through spatial analysis and field measurements. Results found higher temperatures near the Westfield shopping center, Old Stratford station, and along major roads, likely due to anthropogenic heat sources. Microclimate modeling of an area in East Olympic Village showed influence of building materials, shade, and wind on surface temperatures. The study fulfilled its objectives but future work could incorporate additional data sources and validation measurements.
- Christian Baker analyzed Herschel PACS spectroscopy data of dwarf galaxy NGC 5195 to determine characteristics of its cold gas and dust using a PDR model.
- Key emission lines were detected including [C II], [N II], [O I]63, and [O I]145. [O III] was below the detection threshold.
- Ratios of emission lines to total infrared flux suggested a heating efficiency about an order of magnitude lower than NGC 5195's companion galaxy M51.
- Analysis of line ratios indicated gas densities of log(n/cm-3) between 2.0-3.0 and radiation intensities of logG0 between 2.5-3.3.
This document presents equations to compute the efficiency of a parabolic-trough solar collector using solar position coordinates. The equations account for factors like universal time, day, month, year, longitude, latitude, and heliocentric and geocentric coordinates to determine the sun's position. The collector efficiency considers the direct and reflected solar energy incident on its glass cover as well as thermal losses. The developed equations can predict collector performance using meteorological and radiative data for any location.
Estimation of land surface temperature of dindigul district using landsat 8 dataeSAT Publishing House
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
Land Information New Zealand completed the first national airborne gravity survey of New Zealand in collaboration with GNS Science and Victoria University of Wellington. Over 50,000 line-kilometers of data were collected to determine gravity anomalies with 10km spatial resolution. This data was combined with existing terrestrial and satellite data using least squares collocation to produce a new gravimetric quasigeoid model. Validation showed the new model has an accuracy of 3.9cm standard deviation and 4.86cm root mean squared error, an improvement of around 1.5cm over the previous NZGeoid2009 model.
Calculating Wind Farm Production in Al-Shihabi (South Of Iraq) Using WASPIJERA Editor
The Wind Turbine farms are becoming popular in the renewable energy world. In this research, the Wind Atlas
Analysis and Application Program (WAsP) has been used to estimate wind power density in Al-Shihabi (south
of Iraq). All statistical operations on data series are obtained from Field data collected from the wind
measurement towers which installed by the Science and Technology Ministry at Kut city south of IRAQ at three
heights (10, 30, 50 m). The wind turbine selected for this study to be installed in the wind farm are Bonus-
300kw, 600kw The Annual Energy Production (AEP) has been calculate which varies between (746.990 -
759.446 MWH) at 30 m and it s varies between produced AEP (1.576 - 1.600 GWh) at 50 m ,this site classified
as ( class-1).
This document summarizes research on modeling satellite cluster flight around oblate planets. It presents analytical solutions for absolute and relative motion under a J2 central gravitational model. Applications include initializing cluster configurations to maintain bounded relative motion, and computing impulsive maneuvers to achieve periodic orbits. Additional results characterize open orbits including a new "fish" orbit and differences between J2 and Keplerian flyby models. Ongoing work aims to develop new orbital elements and propagators for the J2 central field.
This document provides a 3-paragraph summary of the Empirical Green's Function Method for simulating strong ground motions from large earthquakes:
1) The Empirical Green's Function Method uses observed records from small earthquakes around a large earthquake's source area to simulate strong ground motions from the large earthquake. It accounts for complex wave propagation effects by incorporating observations. Parameters are estimated to scale up the small earthquake records to the large earthquake.
2) Key parameters - like the ratio of fault dimensions (N) and stress drops (C) between the large and small earthquakes - are estimated using spectral ratios of the earthquakes. A "filtering function" is used to adjust for differences in slip velocity time functions between
This document discusses two Kalman filtering approaches to automate the correction of long-term geolocation errors in MODIS and VIIRS instruments. The current manual approach uses least-squares analysis with linear and sinusoidal curves, but the Kalman filtering approaches can provide automated daily updates. The first approach models error trends with linear and sinusoidal curves in a Kalman filter. The second estimates sensor roll, pitch and yaw errors through Euler angle differential equations. Preliminary tests of the first approach on over 10 years of MODIS data show promising results in reducing geolocation errors, while the second approach requires more examination. Further testing is needed to validate and refine the Kalman filtering methods for automated long-term geolocation error correction.
This document summarizes an attitude determination method for multirotor unmanned aerial vehicles (UAVs) using vector measurements from a downward-facing camera. The method uses an extended Kalman filter with two different attitude representations - the quaternion extended Kalman filter (QEKF) and the multiplicative extended Kalman filter (MEKF). Computational simulations are used to evaluate the proposed multirotor attitude determination scheme using vector measurements from the camera and rate gyro data.
This deals with the assessment of several parameterizations of longwave radiation. The parametes were calibrated using a calibration tool on Ameriflux data.
Fracture prediction using low coverage seismic data in area of complicated st...Mario Prince
This document presents a workflow for predicting fractures in a limestone reservoir using 3D seismic data with low fold coverage in an area with complicated structures in Colombia. Key steps included: 1) applying interpolation and azimuthal division to overcome data limitations, 2) performing PSTM on azimuthal volumes to maintain structure while enhancing image quality, and 3) using relative impedance attributes to detect anisotropy and predict fracture orientation and intensity, with two dominant orientations identified. Comparison to well data showed excellent agreement between seismic-derived and FMI-measured fracture orientations, validating the technique for reliable fracture prediction with low coverage seismic data.
Dynamic modelling and optimal controlscheme of wheel inverted pendulum for mo...ijctcm
Unstable wheel inverted pendulum is modelled and controlled deploying Kane’s method and optimal
partial-state PID control scheme. A correct derivation of nonlinear mathematical model of a wheel inverted
pendulum is obtained using a proper definition of the geometric context of active and inertia forces. Then
the model is decoupled to two linear subsystems namely balancing and heading subsystems. Afterward
partial-state PID controller is proposed and formulated to quadratic optimal regulation tuning method. It
enables partial-state PID to be optimally tuned and guarantees a satisfactory level of states error and a
realistic utilization of torque energy. Simulation and numerical analyses are carried out to analyse
system’s stability and to determine the performance of the proposed controller for mobile wheel inverted
pendulum application.
SEISMIC RESPONSE MODEL INCLUDING SSI OF RC BUILDINGS ON ISOLATED AND RAFT FOU...IAEME Publication
From the literature it is clear that the interaction between the superstructure and the soil foundation has not been taken into consideration in most of the research work. The effect of
construction phase and mode of superstructure loading on the response of structure and foundation has not been given attention. The purpose of this study is to formulate and investigate analytical model for natural period of reinforced frame buildings (low, medium and high rise) based on
RPA2013 with fixed and flexible base. Three types of soil hard, medium and soft are used; isolated foundation for hard and medium soil – sites S1, S2 and raft foundations for soft soil sites S3 and S4.
Engineering survey in the construction industrynoah kertich
This document discusses the role and responsibilities of survey engineers in Kenya. It states that survey engineers are instrumental at both the design and completion stages of projects. In Kenya, survey engineers are often seen as field workers and can be excluded from important project decisions if they are not careful. The document then outlines some key responsibilities of survey engineers, such as topographical surveys, monitoring infrastructure and utilities, setting out project sites, and establishing land boundaries. It also lists common tools used by survey engineers like GPS systems, total stations, levels, and software. Survey control, topographical surveys, earthworks calculations, and mass haul diagrams are also summarized.
Photogrammetry is the science of making measurements from photographs, especially to determine the exact positions of surface points. It involves planning and taking photographs, processing the photographs, and measuring the photographs to produce results like maps. Photogrammetry can be used for topographic surveys, engineering surveys, geological mapping, and urban and regional planning applications. There are two main types of photographs used in photogrammetry: terrestrial photographs taken from fixed positions on the ground using a phototheodolite, and aerial photographs taken from an aerial camera mounted on an aircraft.
Prediction of uplift capacity using genetic programmingAhmed Ebid
DOI: 10.13140/2.1.3107.6163
In most geotechnical problems, it is too difficult to predict soil and structural behavior accurately, because of the large variation in soil parameters and the assumptions of numerical solutions. But recently many geotechnical problems are solved using Artificial Intelligence (AI) techniques, by presenting new solutions or developing existing ones. Genetic Programming, (GP), is one of the most recently developed (AI) techniques based on Genetic Algorithm (GA) technique. In this research, GP technique is utilized to develop prediction criteria for uplift capacity of shallow foundations using collected historical records. The uplift capacity formula is developed using special software written by the authors in "Visual C++" language. The accuracy of the developed formula was also compared with earlier prediction methods.
2019-10-15 Small-scale deformation of active volcanoes measured by Yosuke Aoki
Small-scale deformation of active volcanoes was measured using synthetic aperture radar (SAR). SAR can detect deformation with high spatial resolution. At Usu volcano, deformation around past eruption sites was observed and explained by thermal contraction of intruded lava domes. Thermal modeling suggested hydrothermal circulation may enhance cooling. At Asama volcano, subsidence in the northeast flank and eastward motion in the southeast flank were observed between 2014-2018, possibly due to flank instability in the southeast. SAR provides insights into volcanic processes through measuring subtle surface deformation.
SAR Remote Sensing for Urban Damage Assessment for TehranReza Nourjou, Ph.D.
This document summarizes research using SAR (Synthetic Aperture Radar) data from satellite imagery to detect damage from earthquakes in urban areas like Tehran, Iran. The researchers developed an urban database and GIS system for Tehran Municipality District 17. SAR data from four dates was processed to generate backscattering, coherence and other indices for change detection. To calibrate the indices for the site's orientation, the researchers modeled radar returns based on visible building corners and edges using the satellite's position. Preliminary results show the edge model provides more information while the corner model provides more detail. A hybrid model combining both is being developed to generate calibrated damage maps after future earthquakes.
Evolution of 3D Surface Parameters: A Comprehensive Surveytheijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The study analyzes the spatial distribution of coefficients (A, B, C) that characterize seismic activity, recurrence slope, and fractal dimension of epicenter concentrations in the Baikal region of Russia. Key results include:
1) Seismic activity is highest in the Baikal rift zone and Eastern Sayan area.
2) Recurrence slope B varies from 0.75 to 1.35 across the region.
3) Fractal dimension C shows more variation, from 0.7 to 1.6, and differs on different sides of Lake Baikal.
4) Conventional seismic hazard assessments may underestimate risk by 10-20 times by ignoring parameter C's effect on earthquake frequency
This document summarizes the design and implementation of a low power pipelined 64-bit RISC processor using an FPGA. The processor uses a 4-stage pipeline and low power techniques like clock gating to reduce power consumption. It has a 64-bit architecture with four 64-bit registers. The design is implemented using Verilog HDL and tested on an Altera DE2 board. Simulation results show that the low power techniques are effective in reducing dynamic power. The processor architecture includes modules like the program counter, control unit, register file, ALU, and memory unit. An instruction set with short and long instructions is also defined.
This document summarizes a study on customer preferences for various mutual fund schemes in Thane City, India. It provides background on mutual funds and reviews previous literature on investor preferences and demographics. The study uses a questionnaire to collect data from 100 investors in Thane City and analyzes the data using chi-square tests to determine associations between investor attitudes and age, gender, income level, and education level. Key findings include that younger investors have more preference for mutual funds, males are more favorable than females, mid-income groups prefer funds most, and post-graduates are more favorable toward funds. The study aims to help mutual fund companies improve marketing and understand investor preferences.
- Christian Baker analyzed Herschel PACS spectroscopy data of dwarf galaxy NGC 5195 to determine characteristics of its cold gas and dust using a PDR model.
- Key emission lines were detected including [C II], [N II], [O I]63, and [O I]145. [O III] was below the detection threshold.
- Ratios of emission lines to total infrared flux suggested a heating efficiency about an order of magnitude lower than NGC 5195's companion galaxy M51.
- Analysis of line ratios indicated gas densities of log(n/cm-3) between 2.0-3.0 and radiation intensities of logG0 between 2.5-3.3.
This document presents equations to compute the efficiency of a parabolic-trough solar collector using solar position coordinates. The equations account for factors like universal time, day, month, year, longitude, latitude, and heliocentric and geocentric coordinates to determine the sun's position. The collector efficiency considers the direct and reflected solar energy incident on its glass cover as well as thermal losses. The developed equations can predict collector performance using meteorological and radiative data for any location.
Estimation of land surface temperature of dindigul district using landsat 8 dataeSAT Publishing House
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
Land Information New Zealand completed the first national airborne gravity survey of New Zealand in collaboration with GNS Science and Victoria University of Wellington. Over 50,000 line-kilometers of data were collected to determine gravity anomalies with 10km spatial resolution. This data was combined with existing terrestrial and satellite data using least squares collocation to produce a new gravimetric quasigeoid model. Validation showed the new model has an accuracy of 3.9cm standard deviation and 4.86cm root mean squared error, an improvement of around 1.5cm over the previous NZGeoid2009 model.
Calculating Wind Farm Production in Al-Shihabi (South Of Iraq) Using WASPIJERA Editor
The Wind Turbine farms are becoming popular in the renewable energy world. In this research, the Wind Atlas
Analysis and Application Program (WAsP) has been used to estimate wind power density in Al-Shihabi (south
of Iraq). All statistical operations on data series are obtained from Field data collected from the wind
measurement towers which installed by the Science and Technology Ministry at Kut city south of IRAQ at three
heights (10, 30, 50 m). The wind turbine selected for this study to be installed in the wind farm are Bonus-
300kw, 600kw The Annual Energy Production (AEP) has been calculate which varies between (746.990 -
759.446 MWH) at 30 m and it s varies between produced AEP (1.576 - 1.600 GWh) at 50 m ,this site classified
as ( class-1).
This document summarizes research on modeling satellite cluster flight around oblate planets. It presents analytical solutions for absolute and relative motion under a J2 central gravitational model. Applications include initializing cluster configurations to maintain bounded relative motion, and computing impulsive maneuvers to achieve periodic orbits. Additional results characterize open orbits including a new "fish" orbit and differences between J2 and Keplerian flyby models. Ongoing work aims to develop new orbital elements and propagators for the J2 central field.
This document provides a 3-paragraph summary of the Empirical Green's Function Method for simulating strong ground motions from large earthquakes:
1) The Empirical Green's Function Method uses observed records from small earthquakes around a large earthquake's source area to simulate strong ground motions from the large earthquake. It accounts for complex wave propagation effects by incorporating observations. Parameters are estimated to scale up the small earthquake records to the large earthquake.
2) Key parameters - like the ratio of fault dimensions (N) and stress drops (C) between the large and small earthquakes - are estimated using spectral ratios of the earthquakes. A "filtering function" is used to adjust for differences in slip velocity time functions between
This document discusses two Kalman filtering approaches to automate the correction of long-term geolocation errors in MODIS and VIIRS instruments. The current manual approach uses least-squares analysis with linear and sinusoidal curves, but the Kalman filtering approaches can provide automated daily updates. The first approach models error trends with linear and sinusoidal curves in a Kalman filter. The second estimates sensor roll, pitch and yaw errors through Euler angle differential equations. Preliminary tests of the first approach on over 10 years of MODIS data show promising results in reducing geolocation errors, while the second approach requires more examination. Further testing is needed to validate and refine the Kalman filtering methods for automated long-term geolocation error correction.
This document summarizes an attitude determination method for multirotor unmanned aerial vehicles (UAVs) using vector measurements from a downward-facing camera. The method uses an extended Kalman filter with two different attitude representations - the quaternion extended Kalman filter (QEKF) and the multiplicative extended Kalman filter (MEKF). Computational simulations are used to evaluate the proposed multirotor attitude determination scheme using vector measurements from the camera and rate gyro data.
This deals with the assessment of several parameterizations of longwave radiation. The parametes were calibrated using a calibration tool on Ameriflux data.
Fracture prediction using low coverage seismic data in area of complicated st...Mario Prince
This document presents a workflow for predicting fractures in a limestone reservoir using 3D seismic data with low fold coverage in an area with complicated structures in Colombia. Key steps included: 1) applying interpolation and azimuthal division to overcome data limitations, 2) performing PSTM on azimuthal volumes to maintain structure while enhancing image quality, and 3) using relative impedance attributes to detect anisotropy and predict fracture orientation and intensity, with two dominant orientations identified. Comparison to well data showed excellent agreement between seismic-derived and FMI-measured fracture orientations, validating the technique for reliable fracture prediction with low coverage seismic data.
Dynamic modelling and optimal controlscheme of wheel inverted pendulum for mo...ijctcm
Unstable wheel inverted pendulum is modelled and controlled deploying Kane’s method and optimal
partial-state PID control scheme. A correct derivation of nonlinear mathematical model of a wheel inverted
pendulum is obtained using a proper definition of the geometric context of active and inertia forces. Then
the model is decoupled to two linear subsystems namely balancing and heading subsystems. Afterward
partial-state PID controller is proposed and formulated to quadratic optimal regulation tuning method. It
enables partial-state PID to be optimally tuned and guarantees a satisfactory level of states error and a
realistic utilization of torque energy. Simulation and numerical analyses are carried out to analyse
system’s stability and to determine the performance of the proposed controller for mobile wheel inverted
pendulum application.
SEISMIC RESPONSE MODEL INCLUDING SSI OF RC BUILDINGS ON ISOLATED AND RAFT FOU...IAEME Publication
From the literature it is clear that the interaction between the superstructure and the soil foundation has not been taken into consideration in most of the research work. The effect of
construction phase and mode of superstructure loading on the response of structure and foundation has not been given attention. The purpose of this study is to formulate and investigate analytical model for natural period of reinforced frame buildings (low, medium and high rise) based on
RPA2013 with fixed and flexible base. Three types of soil hard, medium and soft are used; isolated foundation for hard and medium soil – sites S1, S2 and raft foundations for soft soil sites S3 and S4.
Engineering survey in the construction industrynoah kertich
This document discusses the role and responsibilities of survey engineers in Kenya. It states that survey engineers are instrumental at both the design and completion stages of projects. In Kenya, survey engineers are often seen as field workers and can be excluded from important project decisions if they are not careful. The document then outlines some key responsibilities of survey engineers, such as topographical surveys, monitoring infrastructure and utilities, setting out project sites, and establishing land boundaries. It also lists common tools used by survey engineers like GPS systems, total stations, levels, and software. Survey control, topographical surveys, earthworks calculations, and mass haul diagrams are also summarized.
Photogrammetry is the science of making measurements from photographs, especially to determine the exact positions of surface points. It involves planning and taking photographs, processing the photographs, and measuring the photographs to produce results like maps. Photogrammetry can be used for topographic surveys, engineering surveys, geological mapping, and urban and regional planning applications. There are two main types of photographs used in photogrammetry: terrestrial photographs taken from fixed positions on the ground using a phototheodolite, and aerial photographs taken from an aerial camera mounted on an aircraft.
Prediction of uplift capacity using genetic programmingAhmed Ebid
DOI: 10.13140/2.1.3107.6163
In most geotechnical problems, it is too difficult to predict soil and structural behavior accurately, because of the large variation in soil parameters and the assumptions of numerical solutions. But recently many geotechnical problems are solved using Artificial Intelligence (AI) techniques, by presenting new solutions or developing existing ones. Genetic Programming, (GP), is one of the most recently developed (AI) techniques based on Genetic Algorithm (GA) technique. In this research, GP technique is utilized to develop prediction criteria for uplift capacity of shallow foundations using collected historical records. The uplift capacity formula is developed using special software written by the authors in "Visual C++" language. The accuracy of the developed formula was also compared with earlier prediction methods.
2019-10-15 Small-scale deformation of active volcanoes measured by Yosuke Aoki
Small-scale deformation of active volcanoes was measured using synthetic aperture radar (SAR). SAR can detect deformation with high spatial resolution. At Usu volcano, deformation around past eruption sites was observed and explained by thermal contraction of intruded lava domes. Thermal modeling suggested hydrothermal circulation may enhance cooling. At Asama volcano, subsidence in the northeast flank and eastward motion in the southeast flank were observed between 2014-2018, possibly due to flank instability in the southeast. SAR provides insights into volcanic processes through measuring subtle surface deformation.
SAR Remote Sensing for Urban Damage Assessment for TehranReza Nourjou, Ph.D.
This document summarizes research using SAR (Synthetic Aperture Radar) data from satellite imagery to detect damage from earthquakes in urban areas like Tehran, Iran. The researchers developed an urban database and GIS system for Tehran Municipality District 17. SAR data from four dates was processed to generate backscattering, coherence and other indices for change detection. To calibrate the indices for the site's orientation, the researchers modeled radar returns based on visible building corners and edges using the satellite's position. Preliminary results show the edge model provides more information while the corner model provides more detail. A hybrid model combining both is being developed to generate calibrated damage maps after future earthquakes.
Evolution of 3D Surface Parameters: A Comprehensive Surveytheijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The study analyzes the spatial distribution of coefficients (A, B, C) that characterize seismic activity, recurrence slope, and fractal dimension of epicenter concentrations in the Baikal region of Russia. Key results include:
1) Seismic activity is highest in the Baikal rift zone and Eastern Sayan area.
2) Recurrence slope B varies from 0.75 to 1.35 across the region.
3) Fractal dimension C shows more variation, from 0.7 to 1.6, and differs on different sides of Lake Baikal.
4) Conventional seismic hazard assessments may underestimate risk by 10-20 times by ignoring parameter C's effect on earthquake frequency
This document summarizes the design and implementation of a low power pipelined 64-bit RISC processor using an FPGA. The processor uses a 4-stage pipeline and low power techniques like clock gating to reduce power consumption. It has a 64-bit architecture with four 64-bit registers. The design is implemented using Verilog HDL and tested on an Altera DE2 board. Simulation results show that the low power techniques are effective in reducing dynamic power. The processor architecture includes modules like the program counter, control unit, register file, ALU, and memory unit. An instruction set with short and long instructions is also defined.
This document summarizes a study on customer preferences for various mutual fund schemes in Thane City, India. It provides background on mutual funds and reviews previous literature on investor preferences and demographics. The study uses a questionnaire to collect data from 100 investors in Thane City and analyzes the data using chi-square tests to determine associations between investor attitudes and age, gender, income level, and education level. Key findings include that younger investors have more preference for mutual funds, males are more favorable than females, mid-income groups prefer funds most, and post-graduates are more favorable toward funds. The study aims to help mutual fund companies improve marketing and understand investor preferences.
This document discusses business intelligence (BI) over cloud computing. It begins by defining BI as a set of tools and methods to transform raw data into meaningful business information. The document then discusses how cloud computing allows BI to be more affordable and scalable by offering software, infrastructure, and platform as a service. However, BI over the cloud still faces issues regarding data security, loss of control, and vendor governance that organizations must address. The document aims to provide information to cloud BI vendors on meeting user needs and overcoming current shortcomings.
The document presents spatial and contour diagrams that summarize the nominal conveying ability of trapezoidal V-belts as a function of the number of rotations of the steering pulley and its kinematic diameter. Spatial diagrams show the conveying ability as a three-dimensional surface, with number of rotations on the x-axis, diameter on y-axis, and conveying ability on z-axis. Contour diagrams show lines of constant conveying ability on a two-dimensional plane of number of rotations and diameter. These diagrams provide a unique contribution to optimizing belt selection by allowing combinations of rotations and diameter that achieve required conveying ability to be identified.
This document provides an abstract for a research article on magnetohydrodynamic mixed convection micro polar flow through a porous medium driven by a porous stretching sheet. The following key points are discussed:
- Governing partial differential equations are derived and numerically solved using finite element analysis to study the effects of various parameters on velocity, micro rotation, and temperature profiles.
- Parameters investigated include the Hartmann number, Darcy parameter, surface conditions, and their impact on the fluid flow is explored.
- The study aims to provide insights applicable to processes involving polymer sheet stretching and controlled cooling/heating of strips or filaments during manufacturing.
This document summarizes a research paper that proposes a new binary tree algorithm for implementing a Huffman decoder. It begins by explaining the disadvantages of using an array data structure to represent the Huffman decoding tree and how the proposed binary tree method requires less memory. The proposed decoder is then implemented using ASIC and FPGA design tools. Performance metrics like power, area, and number of registers are obtained and compared between the ASIC and FPGA implementations. Simulation results show that the ASIC implementation has lower power consumption than the FPGA version. In conclusion, the binary tree algorithm is shown to improve memory usage for Huffman decoding.
This document discusses reliability centered maintenance (RCM) and predictive maintenance strategies. It focuses on a case study of ABC Automobile Company which currently uses preventive maintenance involving manual condition monitoring. The document aims to evaluate if RCM and predictive maintenance using vibration monitoring could improve maintenance effectiveness for rotating equipment. It outlines the existing condition monitoring process, identifies gaps in the current approach, and proposes analyzing equipment parameters to predict failures. A test case will analyze a proposal to identify root causes of performance decline and determine optimal maintenance timing before failures occur.
Development of Methodology for Determining Earth Work Volume Using Combined S...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
This document summarizes the development of a new ultra-high resolution model of Earth's gravity field called GGMplus. Key points:
- GGMplus combines satellite gravity data from GOCE and GRACE with terrestrial gravity data and topography to achieve unprecedented 200m spatial resolution globally.
- It provides gridded estimates of gravity, horizontal and radial field components, and quasi-geoid heights at over 3 billion points covering 80% of the Earth's land.
- GGMplus reveals new details of small-scale gravity variations and identifies locations of minimum and maximum gravity, suggesting peak-to-peak variations are 40% larger than previous estimates. The model will benefit scientific and engineering applications.
Practical Local Geoid Modelling of Benin City, Nigeria from Gravimetric Obser...IJAEMSJORNAL
The geometric heights obtained from GNSS observations cannot be used for engineering works as they are not reduced to the geoid. This study presents practical local geoid modelling from gravimetric observations using the modified Stokes integral for engineering applications in Benin City. A total of 52 points were observed with GNSS receivers and a gravimeter to respectively obtain their positions and absolute gravity values. The theoretical gravity values of the points were computed on the Clarke 1880 ellipsoid to obtain their local gravity anomalies. The modified Stokes integral was applied to compute the geoid heights of the points. The combined topographic effect was applied to the computed geoid heights of the points to obtain their precise geoid heights. The mean of the precise geoid heights of the points was computed to obtain the local gravimetric geoid model of the study area. The determined geoid model was validated for its reliability as well as the accuracy using the RMSE index. It is recommended that the use of assumed, as well as handheld GPS receiver heights for engineering works should be totally abolished as this study has established the local geoid model of Benin City.
This document describes a study that uses finite element analysis to calculate harmonic Green's functions of a homogeneous soil. Green's functions describe the dynamic response of a medium to concentrated forces and are important for modeling ground-borne vibrations from traffic and other sources. The study presents an axisymmetric finite element model of a 100m x 100m homogeneous soil domain with a concentrated force applied at the origin. An explicit time integration scheme is used to solve the elastodynamic equations over 0.24 seconds, capturing multiple periods of vibration from the 50Hz force. The model mesh size is optimized to balance accuracy near the force versus computational cost. This represents the first use of finite element analysis to directly compute soil Green's functions.
COMPUTATION OF HARMONIC GREEN’S-FUNCTIONS OF A HOMOGENEOUS SOIL USING AN AXIS...IAEME Publication
Ground-borne vibrations are disturbing to human beings. In order to model and reduce these vibrations, the calculation of the harmonic Green’s-functions of the soil is highly required. In the past, the problem was approached by an analytical methodology. For the first time, this paper proposes to compute these Green’s-functions by using an axisymmetric finite element approach. Careful attention was paid to the convergence of results regarding the mesh size
Application of extreme learning machine for estimating solar radiation from s...mehmet şahin
This paper presents an extreme learning machine (ELM) model to estimate solar radiation in Turkey using satellite data from the National Oceanic and Atmospheric Administration advanced very high-resolution radiometer from 20 locations. The ELM model uses land surface temperature, altitude, latitude, longitude, month, and city as inputs to estimate solar radiation. The ELM model provided better estimation accuracy than an artificial neural network model and was about 23.5 times faster to train, demonstrating the potential of ELM for solar radiation estimation using remote sensing data.
This document describes a fast and reliable method for surface wave tomography to estimate 2-D models of isotropic and azimuthally anisotropic velocity variations from regional or global surface wave data. The method inverts surface wave group or phase velocity measurements to produce tomographic maps in a spherical geometry. It allows for spatial smoothing and model amplitude constraints to be applied simultaneously. Examples applying this technique globally and regionally in Eurasia and Antarctica are presented.
This document describes a fast and reliable method for surface wave tomography to estimate 2-D models of isotropic and azimuthally anisotropic velocity variations from regional or global surface wave data. The method inverts surface wave group or phase velocity measurements to produce tomographic maps in a spherical geometry. It allows for spatial smoothing and model amplitude constraints to be applied simultaneously. Examples applying this technique globally and regionally in Eurasia and Antarctica are presented.
1) This study uses a deep learning model to estimate stratospheric gravity wave potential energy (GW Ep) averaged over 20-30 km using ERA5 reanalysis data and terrain data as inputs. The model is trained using GW Ep values calculated from COSMIC radio occultation data as labels.
2) The results show the model can effectively estimate the zonal trend of GW Ep but with larger errors in low latitudes than mid-latitudes. Seasonal variations are also seen in the estimated GW Ep.
3) The estimated GW Ep shows the effect of the quasi-biennial oscillation, though its amplitude may be less than that of the measured GW Ep from COSMIC data.
Covariance models for geodetic applications of collocation brief versionCarlo Iapige De Gaetani
This document summarizes a new methodology for modeling covariance functions for integrated gravity field modeling using collocation. The methodology uses linear programming and the simplex method to estimate parameters of analytical covariance function models to best fit empirical covariance functions from multiple gravity observations. This allows all available empirical covariances to be considered simultaneously, improving over standard methods that model covariances separately and propagate between observations. The results from testing this new methodology show improvements over existing software packages for modeling covariance functions for local gravity applications.
We perform stochastic finite fault simulations of ground motions in Istanbul, Turkey based on fault rupture scenarios. The region is divided into grids and synthetic site-specific ground motions are generated for each grid using calibrated source, path, and site models. The models are calibrated by simulating a 2011 M5.1 earthquake in the Marmara Sea. Grid-based synthetic ground motions are generated for Istanbul for a M7.4 earthquake scenario. Model parameters are verified by comparing to ground motion prediction equations.
GPR Probing of Smoothly Layered Subsurface Medium: 3D Analytical ModelLeonid Krinitsky
An analytical approach to GPR probing of a
horizontally layered subsurface medium is developed, based on the coupled-wave WKB approximation. An empirical model of current in dipole transmitter antenna is used.
This document presents a study on modeling and analyzing the time-dependent settlement of soil foundations under vertical loading using a fractional Kelvin-Voigt viscoelastic model. The study derives an analytical solution for the settlement of a half-space foundation using Laplace transforms. Results show that the fractional model can more accurately predict long-term settlements compared to the classical Kelvin-Voigt model by varying the fractional order and viscosity coefficient. The determined influential distance of the load also affects settlement calculations.
Algorithm for the Dynamic Analysis of Plane Rectangular Rigid Frame Subjected...Oyeniyi Samuel
This document presents an algorithm for dynamically analyzing a plane rectangular rigid frame subjected to ground motion. The algorithm involves:
1) Using a matrix stiffness method and static condensation to reduce the global stiffness matrix size.
2) Deriving a characteristic polynomial equation from the condensed matrix and mass matrix.
3) Solving the polynomial equation using Newton-Raphson iteration to obtain eigenvalues and eigenvectors.
4) Calculating modal responses like shear force and overturning moment, which provide dynamic responses of the frame.
The algorithm aims to simplify dynamic analysis calculations that typically require software. It was applied to a three-story frame example.
Accuracy enhancement of srtm and aster dems using weight estimation regressio...eSAT Publishing House
This document assesses the accuracy of SRTM and ASTER DEMs in Egypt by comparing DEM elevations to GPS ground control points (GCPs) in two study areas with different topography: a flat delta region and a hilly desert region. Root mean square errors (RMSEs) for SRTM ranged from 15.6m in the delta to 7.9m in the desert, and for ASTER ranged from 13.2m in the delta to 12.4m in the desert. A new approach using weight estimation regression models with topographic indices and aspects as predictors improved accuracy, reducing standard errors of estimates.
Absolute Measurement Of The Acceleration Due To Gravity In GreeceSandra Long
This technical report details absolute measurements of the acceleration due to gravity (g) conducted in Italy, Greece, France, and Germany between 1996-1998. An instrument designed by the Istituto di Metrologia 'G. Colonnetti' was used to measure g through free fall acceleration measurements. The report provides the measurement methods, instrument details, measurement uncertainty analysis, experimental results including g values and uncertainties for each site, and figures/tables of measurement data.
A fast atmospheric correction algorithm applied to landsat tm imagesweslyj
This document describes a fast atmospheric correction algorithm for Landsat TM images. The algorithm proceeds in two steps:
1) It calculates ground reflectance for each pixel based on precomputed planetary albedo functions for standard atmospheres, aerosol types, and optical depths.
2) It approximately corrects for the adjacency effect by taking the average reflectance in a neighborhood of pixels and applying weighting functions to differences in reflectance.
The document summarizes research using remote sensing data and quantitative analysis to identify and characterize alluvial fans. Satellite imagery was used to calculate surface roughness as a proxy for distinguishing alluvial areas. Digital elevation models from SRTM data were analyzed to delineate geometric parameters of landforms. A fuzzy logic model populated with roughness, elevation, and curvature data was able to classify terrain into categories corresponding to different parts of alluvial fans. The method provided initial identification and spatial extent of alluvial fans while also assigning fuzzy membership values.
Robust SINS/GNSS Integration Method for High Dynamic ApplicationsRadita Apriana
As high dynamic movement is always accompanied by colored noise which lacks of mathematical
model, traditional Kalman filtering based on an assumption of white Gaussian noise always faces serious
divergence. To enhance the performance in high dynamic environment with uncertain colored noise, a kind
of robust filtering based on H-infinity technology is developed. State model of the algorithm is derived from
SINS error propagation. Both position and velocity errors are used as the measurements. A simulation
system which includes a tri-axial turntable and a GNSS signal simulator is used to verify the integration
design under high dynamic environment. Simulation results proved that both the accuracy and robustness
of the integration design have been improved significantly.
The document summarizes a study that estimated potential losses in Istanbul, Turkey from earthquake scenarios along faults in the Marmara Sea region. Deterministic ground motion scenarios were developed for a Mw 7.4 earthquake on the Central Marmara Basin fault, using different rupture models. Synthetic time series were calculated on a grid covering Istanbul and peak ground accelerations were found to range from 1.0-7.0 m/s2 depending on the scenario. A loss estimation model was then applied using the ground motions and a building inventory database to evaluate expected damage and casualties from the scenarios.
Submission Deadline: 30th September 2022
Acceptance Notification: Within Three Days’ time period
Online Publication: Within 24 Hrs. time Period
Expected Date of Dispatch of Printed Journal: 5th October 2022
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...IAEME Publication
White layer thickness (WLT) formed and surface roughness in wire electric discharge turning (WEDT) of tungsten carbide composite has been made to model through response surface methodology (RSM). A Taguchi’s standard Design of experiments involving five input variables with three levels has been employed to establish a mathematical model between input parameters and responses. Percentage of cobalt content, spindle speed, Pulse on-time, wire feed and pulse off-time were changed during the experimental tests based on the Taguchi’s orthogonal array L27 (3^13). Analysis of variance (ANOVA) revealed that the mathematical models obtained can adequately describe performance within the parameters of the factors considered. There was a good agreement between the experimental and predicted values in this study.
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURSIAEME Publication
The study explores the reasons for a transgender to become entrepreneurs. In this study transgender entrepreneur was taken as independent variable and reasons to become as dependent variable. Data were collected through a structured questionnaire containing a five point Likert Scale. The study examined the data of 30 transgender entrepreneurs in Salem Municipal Corporation of Tamil Nadu State, India. Simple Random sampling technique was used. Garrett Ranking Technique (Percentile Position, Mean Scores) was used as the analysis for the present study to identify the top 13 stimulus factors for establishment of trans entrepreneurial venture. Economic advancement of a nation is governed upon the upshot of a resolute entrepreneurial doings. The conception of entrepreneurship has stretched and materialized to the socially deflated uncharted sections of transgender community. Presently transgenders have smashed their stereotypes and are making recent headlines of achievements in various fields of our Indian society. The trans-community is gradually being observed in a new light and has been trying to achieve prospective growth in entrepreneurship. The findings of the research revealed that the optimistic changes are taking place to change affirmative societal outlook of the transgender for entrepreneurial ventureship. It also laid emphasis on other transgenders to renovate their traditional living. The paper also highlights that legislators, supervisory body should endorse an impartial canons and reforms in Tamil Nadu Transgender Welfare Board Association.
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURSIAEME Publication
Since ages gender difference is always a debatable theme whether caused by nature, evolution or environment. The birth of a transgender is dreadful not only for the child but also for their parents. The pain of living in the wrong physique and treated as second class victimized citizen is outrageous and fully harboured with vicious baseless negative scruples. For so long, social exclusion had perpetuated inequality and deprivation experiencing ingrained malign stigma and besieged victims of crime or violence across their life spans. They are pushed into the murky way of life with a source of eternal disgust, bereft sexual potency and perennial fear. Although they are highly visible but very little is known about them. The common public needs to comprehend the ravaged arrogance on these insensitive souls and assist in integrating them into the mainstream by offering equal opportunity, treat with humanity and respect their dignity. Entrepreneurship in the current age is endorsing the gender fairness movement. Unstable careers and economic inadequacy had inclined one of the gender variant people called Transgender to become entrepreneurs. These tiny budding entrepreneurs resulted in economic transition by means of employment, free from the clutches of stereotype jobs, raised standard of living and handful of financial empowerment. Besides all these inhibitions, they were able to witness a platform for skill set development that ignited them to enter into entrepreneurial domain. This paper epitomizes skill sets involved in trans-entrepreneurs of Thoothukudi Municipal Corporation of Tamil Nadu State and is a groundbreaking determination to sightsee various skills incorporated and the impact on entrepreneurship.
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONSIAEME Publication
The banking and financial services industries are experiencing increased technology penetration. Among them, the banking industry has made technological advancements to better serve the general populace. The economy focused on transforming the banking sector's system into a cashless, paperless, and faceless one. The researcher wants to evaluate the user's intention for utilising a mobile banking application. The study also examines the variables affecting the user's behaviour intention when selecting specific applications for financial transactions. The researcher employed a well-structured questionnaire and a descriptive study methodology to gather the respondents' primary data utilising the snowball sampling technique. The study includes variables like performance expectations, effort expectations, social impact, enabling circumstances, and perceived risk. Each of the aforementioned variables has a major impact on how users utilise mobile banking applications. The outcome will assist the service provider in comprehending the user's history with mobile banking applications.
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONSIAEME Publication
Technology upgradation in banking sector took the economy to view that payment mode towards online transactions using mobile applications. This system enabled connectivity between banks, Merchant and user in a convenient mode. there are various applications used for online transactions such as Google pay, Paytm, freecharge, mobikiwi, oxygen, phonepe and so on and it also includes mobile banking applications. The study aimed at evaluating the predilection of the user in adopting digital transaction. The study is descriptive in nature. The researcher used random sample techniques to collect the data. The findings reveal that mobile applications differ with the quality of service rendered by Gpay and Phonepe. The researcher suggest the Phonepe application should focus on implementing the application should be user friendly interface and Gpay on motivating the users to feel the importance of request for money and modes of payments in the application.
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINOIAEME Publication
The prototype of a voice-based ATM for visually impaired using Arduino is to help people who are blind. This uses RFID cards which contain users fingerprint encrypted on it and interacts with the users through voice commands. ATM operates when sensor detects the presence of one person in the cabin. After scanning the RFID card, it will ask to select the mode like –normal or blind. User can select the respective mode through voice input, if blind mode is selected the balance check or cash withdraw can be done through voice input. Normal mode procedure is same as the existing ATM.
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...IAEME Publication
There is increasing acceptability of emotional intelligence as a major factor in personality assessment and effective human resource management. Emotional intelligence as the ability to build capacity, empathize, co-operate, motivate and develop others cannot be divorced from both effective performance and human resource management systems. The human person is crucial in defining organizational leadership and fortunes in terms of challenges and opportunities and walking across both multinational and bilateral relationships. The growing complexity of the business world requires a great deal of self-confidence, integrity, communication, conflict and diversity management to keep the global enterprise within the paths of productivity and sustainability. Using the exploratory research design and 255 participants the result of this original study indicates strong positive correlation between emotional intelligence and effective human resource management. The paper offers suggestions on further studies between emotional intelligence and human capital development and recommends for conflict management as an integral part of effective human resource management.
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMYIAEME Publication
Our life journey, in general, is closely defined by the way we understand the meaning of why we coexist and deal with its challenges. As we develop the "inspiration economy", we could say that nearly all of the challenges we have faced are opportunities that help us to discover the rest of our journey. In this note paper, we explore how being faced with the opportunity of being a close carer for an aging parent with dementia brought intangible discoveries that changed our insight of the meaning of the rest of our life journey.
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...IAEME Publication
The main objective of this study is to analyze the impact of aspects of Organizational Culture on the Effectiveness of the Performance Management System (PMS) in the Health Care Organization at Thanjavur. Organizational Culture and PMS play a crucial role in present-day organizations in achieving their objectives. PMS needs employees’ cooperation to achieve its intended objectives. Employees' cooperation depends upon the organization’s culture. The present study uses exploratory research to examine the relationship between the Organization's culture and the Effectiveness of the Performance Management System. The study uses a Structured Questionnaire to collect the primary data. For this study, Thirty-six non-clinical employees were selected from twelve randomly selected Health Care organizations at Thanjavur. Thirty-two fully completed questionnaires were received.
Living in 21st century in itself reminds all of us the necessity of police and its administration. As more and more we are entering into the modern society and culture, the more we require the services of the so called ‘Khaki Worthy’ men i.e., the police personnel. Whether we talk of Indian police or the other nation’s police, they all have the same recognition as they have in India. But as already mentioned, their services and requirements are different after the like 26th November, 2008 incidents, where they without saving their own lives has sacrificed themselves without any hitch and without caring about their respective family members and wards. In other words, they are like our heroes and mentors who can guide us from the darkness of fear, militancy, corruption and other dark sides of life and so on. Now the question arises, if Gandhi would have been alive today, what would have been his reaction/opinion to the police and its functioning? Would he have some thing different in his mind now what he had been in his mind before the partition or would he be going to start some Satyagraha in the form of some improvement in the functioning of the police administration? Really these questions or rather night mares can come to any one’s mind, when there is too much confusion is prevailing in our minds, when there is too much corruption in the society and when the polices working is also in the questioning because of one or the other case throughout the India. It is matter of great concern that we have to thing over our administration and our practical approach because the police personals are also like us, they are part and parcel of our society and among one of us, so why we all are pin pointing towards them.
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...IAEME Publication
The goal of this study was to see how talent management affected employee retention in the selected IT organizations in Chennai. The fundamental issue was the difficulty to attract, hire, and retain talented personnel who perform well and the gap between supply and demand of talent acquisition and retaining them within the firms. The study's main goals were to determine the impact of talent management on employee retention in IT companies in Chennai, investigate talent management strategies that IT companies could use to improve talent acquisition, performance management, career planning and formulate retention strategies that the IT firms could use. The respondents were given a structured close-ended questionnaire with the 5 Point Likert Scale as part of the study's quantitative research design. The target population consisted of 289 IT professionals. The questionnaires were distributed and collected by the researcher directly. The Statistical Package for Social Sciences (SPSS) was used to collect and analyse the questionnaire responses. Hypotheses that were formulated for the various areas of the study were tested using a variety of statistical tests. The key findings of the study suggested that talent management had an impact on employee retention. The studies also found that there is a clear link between the implementation of talent management and retention measures. Management should provide enough training and development for employees, clarify job responsibilities, provide adequate remuneration packages, and recognise employees for exceptional performance.
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...IAEME Publication
Globally, Millions of dollars were spent by the organizations for employing skilled Information Technology (IT) professionals. It is costly to replace unskilled employees with IT professionals possessing technical skills and competencies that aid in interconnecting the business processes. The organization’s employment tactics were forced to alter by globalization along with technological innovations as they consistently diminish to remain lean, outsource to concentrate on core competencies along with restructuring/reallocate personnel to gather efficiency. As other jobs, organizations or professions have become reasonably more appropriate in a shifting employment landscape, the above alterations trigger both involuntary as well as voluntary turnover. The employee view on jobs is also afflicted by the COVID-19 pandemic along with the employee-driven labour market. So, having effective strategies is necessary to tackle the withdrawal rate of employees. By associating Emotional Intelligence (EI) along with Talent Management (TM) in the IT industry, the rise in attrition rate was analyzed in this study. Only 303 respondents were collected out of 350 participants to whom questionnaires were distributed. From the employees of IT organizations located in Bangalore (India), the data were congregated. A simple random sampling methodology was employed to congregate data as of the respondents. Generating the hypothesis along with testing is eventuated. The effect of EI and TM along with regression analysis between TM and EI was analyzed. The outcomes indicated that employee and Organizational Performance (OP) were elevated by effective EI along with TM.
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...IAEME Publication
By implementing talent management strategy, organizations would have the option to retain their skilled professionals while additionally working on their overall performance. It is the course of appropriately utilizing the ideal individuals, setting them up for future top positions, exploring and dealing with their performance, and holding them back from leaving the organization. It is employee performance that determines the success of every organization. The firm quickly obtains an upper hand over its rivals in the event that its employees having particular skills that cannot be duplicated by the competitors. Thus, firms are centred on creating successful talent management practices and processes to deal with the unique human resources. Firms are additionally endeavouring to keep their top/key staff since on the off chance that they leave; the whole store of information leaves the firm's hands. The study's objective was to determine the impact of talent management on organizational performance among the selected IT organizations in Chennai. The study recommends that talent management limitedly affects performance. On the off chance that this talent is appropriately management and implemented properly, organizations might benefit as much as possible from their maintained assets to support development and productivity, both monetarily and non-monetarily.
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...IAEME Publication
Banking regulations act of India, 1949 defines banking as “acceptance of deposits for the purpose of lending or investment from the public, repayment on demand or otherwise and withdrawable through cheques, drafts order or otherwise”, the major participants of the Indian financial system are commercial banks, the financial institution encompassing term lending institutions. Investments institutions, specialized financial institution and the state level development banks, non banking financial companies (NBFC) and other market intermediaries such has the stock brokers and money lenders are among the oldest of the certain variants of NBFC and the oldest market participants. The asset quality of banks is one of the most important indicators of their financial health. The Indian banking sector has been facing severe problems of increasing Non- Performing Assets (NPAs). The NPAs growth directly and indirectly affects the quality of assets and profitability of banks. It also shows the efficiency of banks credit risk management and the recovery effectiveness. NPA do not generate any income, whereas, the bank is required to make provisions for such as assets that why is a double edge weapon. This paper outlines the concept of quality of bank loans of different types like Housing, Agriculture and MSME loans in state Haryana of selected public and private sector banks. This study is highlighting problems associated with the role of commercial bank in financing Small and Medium Scale Enterprises (SME). The overall objective of the research was to assess the effect of the financing provisions existing for the setting up and operations of MSMEs in the country and to generate recommendations for more robust financing mechanisms for successful operation of the MSMEs, in turn understanding the impact of MSME loans on financial institutions due to NPA. There are many research conducted on the topic of Non- Performing Assets (NPA) Management, concerning particular bank, comparative study of public and private banks etc. In this paper the researcher is considering the aggregate data of selected public sector and private sector banks and attempts to compare the NPA of Housing, Agriculture and MSME loans in state Haryana of public and private sector banks. The tools used in the study are average and Anova test and variance. The findings reveal that NPA is common problem for both public and private sector banks and is associated with all types of loans either that is housing loans, agriculture loans and loans to SMES. NPAs of both public and private sector banks show the increasing trend. In 2010-11 GNPA of public and private sector were at same level it was 2% but after 2010-11 it increased in many fold and at present there is GNPA in some more than 15%. It shows the dark area of Indian banking sector.
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...IAEME Publication
An experiment conducted in this study found that BaSO4 changed Nylon 6's mechanical properties. By changing the weight ratios, BaSO4 was used to make Nylon 6. This Researcher looked into how hard Nylon-6/BaSO4 composites are and how well they wear. Experiments were done based on Taguchi design L9. Nylon-6/BaSO4 composites can be tested for their hardness number using a Rockwell hardness testing apparatus. On Nylon/BaSO4, the wear behavior was measured by a wear monitor, pinon-disc friction by varying reinforcement, sliding speed, and sliding distance, and the microstructure of the crack surfaces was observed by SEM. This study provides significant contributions to ultimate strength by increasing BaSO4 content up to 16% in the composites, and sliding speed contributes 72.45% to the wear rate
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...IAEME Publication
The majority of the population in India lives in villages. The village is the back bone of the country. Village or rural industries play an important role in the national economy, particularly in the rural development. Developing the rural economy is one of the key indicators towards a country’s success. Whether it be the need to look after the welfare of the farmers or invest in rural infrastructure, Governments have to ensure that rural development isn’t compromised. The economic development of our country largely depends on the progress of rural areas and the standard of living of rural masses. Village or rural industries play an important role in the national economy, particularly in the rural development. Rural entrepreneurship is based on stimulating local entrepreneurial talent and the subsequent growth of indigenous enterprises. It recognizes opportunity in the rural areas and accelerates a unique blend of resources either inside or outside of agriculture. Rural entrepreneurship brings an economic value to the rural sector by creating new methods of production, new markets, new products and generate employment opportunities thereby ensuring continuous rural development. Social Entrepreneurship has the direct and primary objective of serving the society along with the earning profits. So, social entrepreneurship is different from the economic entrepreneurship as its basic objective is not to earn profits but for providing innovative solutions to meet the society needs which are not taken care by majority of the entrepreneurs as they are in the business for profit making as a sole objective. So, the Social Entrepreneurs have the huge growth potential particularly in the developing countries like India where we have huge societal disparities in terms of the financial positions of the population. Still 22 percent of the Indian population is below the poverty line and also there is disparity among the rural & urban population in terms of families living under BPL. 25.7 percent of the rural population & 13.7 percent of the urban population is under BPL which clearly shows the disparity of the poor people in the rural and urban areas. The need to develop social entrepreneurship in agriculture is dictated by a large number of social problems. Such problems include low living standards, unemployment, and social tension. The reasons that led to the emergence of the practice of social entrepreneurship are the above factors. The research problem lays upon disclosing the importance of role of social entrepreneurship in rural development of India. The paper the tendencies of social entrepreneurship in India, to present successful examples of such business for providing recommendations how to improve situation in rural areas in terms of social entrepreneurship development. Indian government has made some steps towards development of social enterprises, social entrepreneurship, and social in- novation, but a lot remains to be improved.
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...IAEME Publication
Distribution system is a critical link between the electric power distributor and the consumers. Most of the distribution networks commonly used by the electric utility is the radial distribution network. However in this type of network, it has technical issues such as enormous power losses which affect the quality of the supply. Nowadays, the introduction of Distributed Generation (DG) units in the system help improve and support the voltage profile of the network as well as the performance of the system components through power loss mitigation. In this study network reconfiguration was done using two meta-heuristic algorithms Particle Swarm Optimization and Gravitational Search Algorithm (PSO-GSA) to enhance power quality and voltage profile in the system when simultaneously applied with the DG units. Backward/Forward Sweep Method was used in the load flow analysis and simulated using the MATLAB program. Five cases were considered in the Reconfiguration based on the contribution of DG units. The proposed method was tested using IEEE 33 bus system. Based on the results, there was a voltage profile improvement in the system from 0.9038 p.u. to 0.9594 p.u.. The integration of DG in the network also reduced power losses from 210.98 kW to 69.3963 kW. Simulated results are drawn to show the performance of each case.
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...IAEME Publication
Manufacturing industries have witnessed an outburst in productivity. For productivity improvement manufacturing industries are taking various initiatives by using lean tools and techniques. However, in different manufacturing industries, frugal approach is applied in product design and services as a tool for improvement. Frugal approach contributed to prove less is more and seems indirectly contributing to improve productivity. Hence, there is need to understand status of frugal approach application in manufacturing industries. All manufacturing industries are trying hard and putting continuous efforts for competitive existence. For productivity improvements, manufacturing industries are coming up with different effective and efficient solutions in manufacturing processes and operations. To overcome current challenges, manufacturing industries have started using frugal approach in product design and services. For this study, methodology adopted with both primary and secondary sources of data. For primary source interview and observation technique is used and for secondary source review has done based on available literatures in website, printed magazines, manual etc. An attempt has made for understanding application of frugal approach with the study of manufacturing industry project. Manufacturing industry selected for this project study is Mahindra and Mahindra Ltd. This paper will help researcher to find the connections between the two concepts productivity improvement and frugal approach. This paper will help to understand significance of frugal approach for productivity improvement in manufacturing industry. This will also help to understand current scenario of frugal approach in manufacturing industry. In manufacturing industries various process are involved to deliver the final product. In the process of converting input in to output through manufacturing process productivity plays very critical role. Hence this study will help to evolve status of frugal approach in productivity improvement programme. The notion of frugal can be viewed as an approach towards productivity improvement in manufacturing industries.
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENTIAEME Publication
In this paper, we investigated a queuing model of fuzzy environment-based a multiple channel queuing model (M/M/C) ( /FCFS) and study its performance under realistic conditions. It applies a nonagonal fuzzy number to analyse the relevant performance of a multiple channel queuing model (M/M/C) ( /FCFS). Based on the sub interval average ranking method for nonagonal fuzzy number, we convert fuzzy number to crisp one. Numerical results reveal that the efficiency of this method. Intuitively, the fuzzy environment adapts well to a multiple channel queuing models (M/M/C) ( /FCFS) are very well.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.