My presentation in MST -11 International Workshop

•

0 gostou•627 visualizações

1. The document presents a method for adaptive clutter rejection in atmospheric radars using direction of arrival (DOA) tracking with unscented filters. DOA estimation is performed using differential MUSIC and then updated over time using an unscented Kalman filter. 2. A simulation was conducted with four signal sources, one stationary and two moving, received by a radar array. DOA measurements from the unscented filter and MUSIC algorithm were used to reject clutter based on a constrained minimum power criterion. 3. The results demonstrate that the proposed method provides effective sidelobe cancellation for atmospheric radars through high resolution DOA estimation and state estimation of moving objects over time.

Tecnologia Educação

Adaptive clutter rejection by DOA tracking using unscented filters for atmospheric radars By Dr. C.Vijaykumar and Arpit Gupta Dhirubhai Ambani Institute of Information and Communication Technology Gandhinagar, Gujarat

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Organization of the Presentation

Introduction to Problem ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

DOA Estimation Procedure ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

DOA Update using Unscented Kalman Filter

State Space Model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

State Space Model cont .. v (n) and w(n) are independent zero mean Gaussian noise vector for State space model and Measurement model with vector size 4*1 and 1*1 respectively Corresponding Measurement model is given by Θ (n) = arctan[ y(n) / x(n) ] + w(n)

Unscented Transform ,[object Object],[object Object]

[object Object],[object Object],DOA Tracking – Unscented Kalman Filtering x i (k +1 / k) = f [x (n), y (n), Vx (n), Vy (n)]

[object Object],[object Object],[object Object],[object Object]

[object Object],[object Object],[object Object],[object Object],[object Object]

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Clutter Rejection Method ,[object Object],[object Object],[object Object],[object Object],[object Object]

Measurements ANGLE INDEGGREES ANGLE IN DEGGREES

CONCLUSIONS ,[object Object],[object Object],[object Object],[object Object]

References ,[object Object],[object Object],[object Object]

Mais conteúdo relacionado

Mais procurados

Atmospheric correction

Nirmal Kumar

Atmospheric correction albufera_web

Gabriel Parodi

Space-time adaptive processing (STAP) is a signal processing technique most commonly used in radar systems where interference is a problem. The radar signal processor is used to remove the unintentional cluttering effects caused by ground reflections and echoes due to sea, desert, forest, etc. and intentional jamming and make the received signal useful. In this paper a new approach to STAP based on subspace projection has been described in detail. According to linear algebra and three dimensional geometry, if we project a range space on to a subspace spanned by linearly independent vectors, we can suppress data which is perpendicular to that subspace. In subspace based technique, the received data is projected on to a subspace which is orthogonal to clutter subspace to remove the clutter. The probability of target detection can be find out in order to analyse the performance of the proposed algorithm. Two existing algorithms, SMI and DPCA are chosen to do the comparison. while plotting the detection Probability against SINR , the results obtained are better for subspace technique than DPCA and SMI. We got the SINR improved for subspace based technique for same detection probability. The effect of subspace rank on SINR was also analysed for understanding the computational load caused by the technique. We also analysed the convergence of the algorithm by taking plots of SINR against range snapshots.

SPACE TIME ADAPTIVE PROCESSING FOR CLUTTER SUPPRESSION IN RADAR USING SUBSPAC...

International Journal of Technical Research & Application

The Electromagnetic Wave Equation

Lebanon Community Schools

Paper id 26201484

IJRAT

Noise suppression Algorithm

Swayam Mittal

This talk is an easy introduction to two main topic: computational science applied to material modeling, and simulation of vibrational properties of materials. Info: federico.brivio_NOSPAM_AT_natur.cuni.cz If some image breaks-copyright please inform me. Pokémon © 2002-2019 Pokémon. © 1995-2019 Nintendo/Creatures Inc./GAME FREAK inc. TM, ® and Pokémon character names are trademarks of Nintendo. No copyright or trademark infringement is intended in using Pokémon content

Computational methods and vibrational properties applied to materials modeling

cippo1987Ita

Dinh_BIOMASS_TomoSAR

HO TONG MINH DINH

$Uniform geometrical theory of diffraction (User body shadowing)$ $Uniform geometrical theory of diffraction (User body shadowing)$

Uniform geometrical theory of diffraction (User body shadowing)

Seoul National Univ in South Korea

Bartlett's method pp ts

Diwaker Pant

FR1.L09.3 - SAR TOMOGRAPHIC FOCUSING BY COMPRESSIVE SAMPLING: EXPERIMENTS ON ...

grssieee

ICASSP19

Julián Tachella

Kalman filter implimention in mathlab

thanhhd

CAMSAP19

Julián Tachella

Recurrence Quantification Analysis :Tutorial & application to eye-movement data

Deb Aks

A Prediction Technique for Chaotic Time Series

Suhel Mulla

In this study, global solar radiation (GSR) was estimated based on 53 locations by using ELM, SVR, KNN, LR and NU-SVR methods. Methods were trained with a two-year data set and accuracy of the mentioned methods was tested with a one-year data set. The data set of each year was consisting of 12 months. Whereas the values of month, altitude, latitude, longitude, vapour pressure deficit and land surface temperature were used as input for developing models, GSR was obtained as output. Values of vapour pressure deficit and land surface temperature were taken from radiometry of NOAA-AVHRR satellite. Estimated solar radiation data were compared with actual data that were obtained from meteorological stations. According to statistical results, most successful method was NU-SVR method. The RMSE and MBE values of NU-SVR method were found to be 1,4972 MJ/m2 and 0,2652 MJ/m2, respectively. R value was 0,9728. Furthermore, worst prediction method was LR. For other methods, RMSE values were changing between 1,7746 MJ/m2 and 2,4546 MJ/m2. It can be seen from the statistical results that ELM, SVR, k-NN and NU-SVR methods can be used for estimation of GSR.

Estimation of global solar radiation by using machine learning methods

mehmet şahin

In underwater wireless sensor network (UWSN) size estimation signal length possesses a great significance. Node estimation using conventional protocol based techniques in underwater wireless sensor network (UWSN) poses a great challenge due to unique characteristics of underwater network. Under water communication is difficult due to factors like multi-path propagation, time variations of the channel, small available bandwidth and strong signal attenuation, especially over long ranges. In underwater communication there are low data rates compared to terrestrial communication, since underwater communication uses acoustic waves instead of electromagnetic waves. An alternative approach of node estimation based on statistical signal processing using cross-correlation of Gaussian signals received at three sensors is applied for this purpose. Cross-correlation based estimation technique is best suited for this kind of environmental network. As signal- length is an energy-related term so the greater the signal-length, the more energy is required to perform the estimation.

Impact of Signal Length in CrossCorrelation Based Underwater Network Size Est...

Samir Ahmed Shimul

Investigating Techniques to Model the Martian Surface Using

Alexander Reedy

Effects of Weight Approximation Methods on Performance of Digital Beamforming...

IOSR Journals

Mais procurados (20)

Atmospheric correction

Atmospheric correction albufera_web

SPACE TIME ADAPTIVE PROCESSING FOR CLUTTER SUPPRESSION IN RADAR USING SUBSPAC...

The Electromagnetic Wave Equation

Paper id 26201484

Noise suppression Algorithm

Computational methods and vibrational properties applied to materials modeling

Dinh_BIOMASS_TomoSAR

$Uniform geometrical theory of diffraction (User body shadowing)$ $Uniform geometrical theory of diffraction (User body shadowing)$

Uniform geometrical theory of diffraction (User body shadowing)

Bartlett's method pp ts

FR1.L09.3 - SAR TOMOGRAPHIC FOCUSING BY COMPRESSIVE SAMPLING: EXPERIMENTS ON ...

ICASSP19

Kalman filter implimention in mathlab

CAMSAP19

Recurrence Quantification Analysis :Tutorial & application to eye-movement data

A Prediction Technique for Chaotic Time Series

Estimation of global solar radiation by using machine learning methods

Impact of Signal Length in CrossCorrelation Based Underwater Network Size Est...

Investigating Techniques to Model the Martian Surface Using

Effects of Weight Approximation Methods on Performance of Digital Beamforming...

Destaque

Esitluseavaldamine

aluojalaine

elearning3

phaisack

Systemy wyłączników linkowych bezpieczeństwa

serwoautomatyka

akatsuki gang tribute

ShadowJounin

Krotki kurs historii WKPb

Sebastian Luczak

Hunt'n and Fish'n

Carol Case

Internet search and other web tools for teachers

Ollie Bray

SAGT Higher Student Conference Population Presentation

Ollie Bray

Expanding Library Services & Content With New Technologies

bibliotecaria

Applying New Technologies

bibliotecaria

Ui05 Brief

Marc Duchesne

Thử trắc nghiệm nhân cách bản thân nào ;)

haihuong2005

5. Brighton And Hove 21st Century Teacher

Ollie Bray

Guitar Hero 2009 East Lothian Staff Training - Session Two

Ollie Bray

Smart Swaraj

lodaya

Cows

johnp

Õppiv Tiiger Järvamaal

aluojalaine

What Happens When (Web 2.0 Impact)

Todd Stephens

TEDxFortWayne Partner Deck 2015

Craig Crook

Globalgiving

cibervoluntarios

Destaque (20)

Esitluseavaldamine

elearning3

Systemy wyłączników linkowych bezpieczeństwa

akatsuki gang tribute

Krotki kurs historii WKPb

Hunt'n and Fish'n

Internet search and other web tools for teachers

SAGT Higher Student Conference Population Presentation

Expanding Library Services & Content With New Technologies

Applying New Technologies

Ui05 Brief

Thử trắc nghiệm nhân cách bản thân nào ;)

5. Brighton And Hove 21st Century Teacher

Guitar Hero 2009 East Lothian Staff Training - Session Two

Smart Swaraj

Cows

Õppiv Tiiger Järvamaal

What Happens When (Web 2.0 Impact)

TEDxFortWayne Partner Deck 2015

Globalgiving

Semelhante a My presentation in MST -11 International Workshop

Sparsity based Joint Direction-of-Arrival and Offset Frequency Estimator

Jason Fernandes

Three Element Beam forming Algorithm with Reduced Interference Effect in Sign...

IJMER

Tracking the Direction of Arrival (DOA) Estimation of a multiple moving sources is a significant task which has to be performed in the field of navigation, RADAR, SONAR, Wireless Sensor Networks (WSNs) etc. DOA of the moving source is estimated first, later the estimated DOA using Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT) is used as an initial value and will be provided to any of the Kalman filter (KF), Extended Kalman filter (EKF), Uncented Kalman filter (UKF) and Particle filter (PF) algorithms to track the moving source based on the motion model governing the motion of the source. ESPRIT algorithm used for the estimation of the DOA is accurate but computationally complex. The present comparative study deals with analysis of tracking the DOA Estimation Of Noncoherent, Narrowband moving sources under different scenarios. The KF (Kalman Filter) is used when the linear motion model corrupted by Gaussian noise, The Extended Kalman Filter (EKF), an approximated and non-linear version of the KF is used whenever the motion model is slightly non-linear but corrupted by Gaussian noise. The process of linearization involves the explicit computation of Jacobian and approximation using Taylor’s series is computationally complex and expensive. The computationally complex and expensive procedures of EKF viz explicit computation of Jacobian and approximation using Taylor series are disadvantageous. In order to minimize the disadvantages of EKF are overcomed by the usage of UKF, which uses a transform technique viz Unscented Transform to linearize the non-linear model corrupted by Gaussian noise and Particle Filter (PF) Algorithms are used when the resultant model is highly non-linear and is corrupted by non-Gaussian noise. Further the literature is concluded with appropriate findings based on the results of the studies of different algorithms in different scenarios carried out.

AN ANALYSIS OF THE KALMAN, EXTENDED KALMAN, UNCENTED KALMAN AND PARTICLE FILT...

sipij

International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.

IR UWB TOA Estimation Techniques and Comparison

inventionjournals

A Wireless Sensor Network (WSN) is an autonomous and self-organizing network without any pre-established infrastructure which offers many advantages in military applications and emergency areas. Source Localization is one of the important monitoring tasks of the WSN. It provides the accurate position of the source using various positioning technologies. In this paper an Impulse Radio Ultra wideband (IR-UWB) positioning system with a two-antenna receiver is used to estimate the Time of arrival (TOA) and Direction of arrival (DOA) positioning parameters. A two dimensional (2D) multiple signal classification (MUSIC) algorithm is used to estimate these parameters but it has much higher computational complexity and also requires 2D spectral peak search. A Successive Multiple signal classification (MUSIC) algorithm is proposed in this paper which estimates the parameters jointly and gets paired automatically. It avoids the two dimensional peak searches and reduces the complexity compared to the existing methods 2D-MUSIC, Root-MUSIC, Matrix Pencil algorithm, Propagator method and Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) algorithm. Keywords--Time of arrival (TOA), Direction of arrival (DOA), Impulse Radio Ultra Wideband (IR-UWB), Multiple Signal Classification (MUSIC).

[IJET-V1I3P16] Authors : A.Eswari,T. Ravi Kumar Naidu,T.V.S.Gowtham Prasad.

IJET - International Journal of Engineering and Techniques

Abstract In Radars, an electromagnetic waveform will be sent, and an echo of the same signal will be received by the receiver. From this received signal, by extracting various parameters such as round trip delay, doppler frequency it is possible to find distance, speed, altitude, etc. However, nowadays as the technology increases, intruders are intercepting transmitted signal as it reaches them, and they will be extracting the characteristics and trying to modify them. So there is a need to develop a system whose signal cannot be identified by no cooperative intercept receivers. That is why LPI radars came into existence. In this paper a brief discussion on LPI radar and its modulation (Polytime code (PT1)), detection (Cyclostationary (DFSM & FAM) techniques such as DFSM, FAM are presented and compared with respect to computational complexity. Keywords—LPI Radar, Polytime codes, Cyclostationary DFSM, and FAM

Cyclostationary analysis of polytime coded signals for lpi radars

eSAT Journals

Tracking the Direction of Arrival (DOA) Estimation of a moving source is an important and challenging task in the field of navigation, RADAR, SONAR, Wireless Sensor Networks (WSNs) etc. Tracking is carried out starting from the estimation of DOA, considering the estimated DOA as an initial value, the Kalman Filter (KF) algorithm is used to track the moving source based on the motion model which governs the motion of the source. This comparative study deals with analysis, significance of Non-coherent, Narrowband DOA (Direction of Arrival) Estimation Algorithms in perception to tracking. The DOA estimation algorithms Multiple Signal Classification (MUSIC), Root-MUSIC& Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT) are considered for the purpose of the study, a comparison in terms of optimality with respect to Signal to Noise Ratio (SNR), number of snapshots and number of Antenna elements used and Computational complexity is drawn between the chosen algorithms resulting in an optimum DOA estimate. The optimum DOA Estimate is taken as an initial value for the Kalman filter tracking algorithm. The Kalman filter algorithm is used to track the optimum DOA Estimate.

A Comparative Study of DOA Estimation Algorithms with Application to Tracking...

sipij

This paper proposes orthogonal Discrete Frequency Coding Space Time Waveforms (DFCSTW) for Multiple Input and Multiple Output (MIMO) radar detection in compound Gaussian clutter. The proposed orthogonal waveforms are designed considering the position and angle of the transmitting antenna when viewed from origin. These orthogonally optimized show good resolution in spikier clutter with Generalized Likelihood Ratio Test (GLRT) detector. The simulation results show that this waveform provides better detection performance in spikier Clutter.

Mimo radar detection in compound gaussian clutter using orthogonal discrete f...

ijma

In seismology Primary p-wave arrival identification is a fundamental problem for the geologist worldwide. Several numbers of algorithms that deal with p-wave onset detection and identification have already been proposed. Accurate p- wave picking is required for earthquake early warning system and determination of epicenter location etc. In this paper we have proposed a novel algorithm for p-wave detection using Bhattacharyya distance for seismic signals. In our study we have taken 50 numbers of real seismic signals (generated by earthquake) recorded by K-NET (Kyoshin network), Japan. Our results show maximum standard deviation of 1.76 sample from true picks which gives better accuracy with respect to ratio test method.

P-Wave Onset Point Detection for Seismic Signal Using Bhattacharyya Distance

CSCJournals

Abstract : Node localization is important parameter in WSN. Node localization is required to report origin of events which makes it one of the important challenges in WSN. Received signal strength (RSS) is used to calculate distance between mobile node and reference node. The position of the mobile node is calculated using multilateration algorithm (MA). Extended Kalman filter (EKF) is utilized to estimate the actual position. In this paper, the implementation and enhancement of a tracking system based on RSS indicator with the aid of an Extended Kalman Filter (EKF) is described and an adaptive filter is derived. Keywords - Extended Kalman filter (EKF), mobile node tracking, multilateration algorithm (MA), received signal strength (RSS), Wireless sensor networks (WSN)

Enhanced Mobile Node Tracking With Received Signal Strength in Wireless Senso...

IOSR Journals

Node localization is important parameter in WSN. Node localization is required to report origin of events which makes it one of the important challenges in WSN. Received signal strength (RSS) is used to calculate distance between mobile node and reference node. The position of the mobile node is calculated using multilateration algorithm (MA). Extended Kalman filter (EKF) is utilized to estimate the actual position. In this paper, the implementation and enhancement of a tracking system based on RSS indicator with the aid of an Extended Kalman Filter (EKF) is described and an adaptive filter is derived.

Enhanced Mobile Node Tracking With Received Signal Strength in Wireless Senso...

IOSR Journals

Ag4301181184

IJERA Editor

A method to resolve cyclic ambiguities and increase the accuracy and the resolution in the direction-of-arrival (DOA) estimation using the Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT)algorithm is proposed. It is based on rotating the array and sampling the received signal at multiple positions. Using this approach, the gain in accuracy and resolution is addressed as function of the mean and variance of the DOA. Simulations results are provided as a means of verifying this analysis.

RESOLVING CYCLIC AMBIGUITIES AND INCREASING ACCURACY AND RESOLUTION IN DOA ES...

csandit

In tech recent-advances_in_synthetic_aperture_radar_enhancement_and_informati...

Naivedya Mishra

In the present work, we have considered the daily signal of Solar Radio flux of 2800 Hz cited by National Geographic Data Center, USA during the period from 29 th October, 1972 to 28th February, 2013. We have applied Savitzky- Golay nonlinear phase filter on the present discrete signal to denoise it and after denoising Finite Variance Scaling Method has been applied to investigate memory pattern in this discrete time variant signal. Our result indicates that the present signal of solar radio flux is of short memory which may in turn suggest the multi-periodic and/or pseudo-periodic behaviour of the present signal.

Identification of the Memory Process in the Irregularly Sampled Discrete Time...

idescitation

In order to improve resolution and direction of arrival (DOA) estimation of two closely spaced sources, in context of array processing, a new algorithm is presented. However, the proposed algorithm combines both spatial sampling technic to widen the resolution and a high resolution method which is the Multiple Signal Classification (MUSIC) to estimate the DOA of two closely spaced sources impinging on the far-field of Uniform Linear Array (ULA). Simulations examples are discussed to demonstrate the performance and the effectiveness of the proposed approach (referred as Spatial sampling MUSIC SS-MUSIC) compared to the classical MUSIC method when it’s used alone in this context.

A Novel Algorithm to Estimate Closely Spaced Source DOA

IJECEIAES

In this paper, a new algorithm for a high resolution Direction Of Arrival (DOA) estimation method for multiple wideband signals is proposed. The proposed method proceeds in two steps. In the first step, the received signals data is decomposed in a Toeplitz form using the first-order statistics. In the second step, The QR decomposition is applied on the constructed Toeplitz matrix. Compared with existing schemes, the proposed scheme provides several advantages. First, it requires computing the triangular matrix R or the orthogonal matrix Q to find the DOA; these matrices can be computed with O(n2) operation. However, most of the existing schemes required eignvalue decomposition (EVD) for the covariance matrix or singular value decomposition (SVD) for the data matrix; using EVD or SVD requires much more complex computational O(n3) operation. Second, the proposed scheme is more suitable for high-speed communication since it requires first-order statistics and a single snapshot. Third, the proposed scheme can estimate the correlated wideband signals without using spatial smoothing techniques; whereas, already-existing schemes do not. Accuracy of the proposed wideband DOA estimation method is evaluated through computer simulation in comparison with a conventional method.

QRC-ESPRIT Method for Wideband Signals

IDES Editor

performance analysis of MUSIC and ESPRIT DOA estimation used in adaptive arra...

CSCJournals

Art%3 a10.1155%2fs1110865704401036

SANDRA BALSECA

Performance analysis of music and esprit doa estimation algorithms for adapti...

marwaeng

Semelhante a My presentation in MST -11 International Workshop (20)

Sparsity based Joint Direction-of-Arrival and Offset Frequency Estimator

Three Element Beam forming Algorithm with Reduced Interference Effect in Sign...

AN ANALYSIS OF THE KALMAN, EXTENDED KALMAN, UNCENTED KALMAN AND PARTICLE FILT...

IR UWB TOA Estimation Techniques and Comparison

[IJET-V1I3P16] Authors : A.Eswari,T. Ravi Kumar Naidu,T.V.S.Gowtham Prasad.

Cyclostationary analysis of polytime coded signals for lpi radars

A Comparative Study of DOA Estimation Algorithms with Application to Tracking...

Mimo radar detection in compound gaussian clutter using orthogonal discrete f...

P-Wave Onset Point Detection for Seismic Signal Using Bhattacharyya Distance

Enhanced Mobile Node Tracking With Received Signal Strength in Wireless Senso...

Ag4301181184

RESOLVING CYCLIC AMBIGUITIES AND INCREASING ACCURACY AND RESOLUTION IN DOA ES...

In tech recent-advances_in_synthetic_aperture_radar_enhancement_and_informati...

Identification of the Memory Process in the Irregularly Sampled Discrete Time...

A Novel Algorithm to Estimate Closely Spaced Source DOA

QRC-ESPRIT Method for Wideband Signals

performance analysis of MUSIC and ESPRIT DOA estimation used in adaptive arra...

Art%3 a10.1155%2fs1110865704401036

Performance analysis of music and esprit doa estimation algorithms for adapti...

Último

💉💊+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHABI}}+971581248768 +971581248768 Mtp-Kit (500MG) Prices » Dubai [(+971581248768**)] Abortion Pills For Sale In Dubai, UAE, Mifepristone and Misoprostol Tablets Available In Dubai, UAE CONTACT DR.Maya Whatsapp +971581248768 We Have Abortion Pills / Cytotec Tablets /Mifegest Kit Available in Dubai, Sharjah, Abudhabi, Ajman, Alain, Fujairah, Ras Al Khaimah, Umm Al Quwain, UAE, Buy cytotec in Dubai +971581248768''''Abortion Pills near me DUBAI | ABU DHABI|UAE. Price of Misoprostol, Cytotec” +971581248768' Dr.DEEM ''BUY ABORTION PILLS MIFEGEST KIT, MISOPROTONE, CYTOTEC PILLS IN DUBAI, ABU DHABI,UAE'' Contact me now via What's App…… abortion Pills Cytotec also available Oman Qatar Doha Saudi Arabia Bahrain Above all, Cytotec Abortion Pills are Available In Dubai / UAE, you will be very happy to do abortion in Dubai we are providing cytotec 200mg abortion pill in Dubai, UAE. Medication abortion offers an alternative to Surgical Abortion for women in the early weeks of pregnancy. We only offer abortion pills from 1 week-6 Months. We then advise you to use surgery if its beyond 6 months. Our Abu Dhabi, Ajman, Al Ain, Dubai, Fujairah, Ras Al Khaimah (RAK), Sharjah, Umm Al Quwain (UAQ) United Arab Emirates Abortion Clinic provides the safest and most advanced techniques for providing non-surgical, medical and surgical abortion methods for early through late second trimester, including the Abortion By Pill Procedure (RU 486, Mifeprex, Mifepristone, early options French Abortion Pill), Tamoxifen, Methotrexate and Cytotec (Misoprostol). The Abu Dhabi, United Arab Emirates Abortion Clinic performs Same Day Abortion Procedure using medications that are taken on the first day of the office visit and will cause the abortion to occur generally within 4 to 6 hours (as early as 30 minutes) for patients who are 3 to 12 weeks pregnant. When Mifepristone and Misoprostol are used, 50% of patients complete in 4 to 6 hours; 75% to 80% in 12 hours; and 90% in 24 hours. We use a regimen that allows for completion without the need for surgery 99% of the time. All advanced second trimester and late term pregnancies at our Tampa clinic (17 to 24 weeks or greater) can be completed within 24 hours or less 99% of the time without the need surgery. The procedure is completed with minimal to no complications. Our Women's Health Center located in Abu Dhabi, United Arab Emirates, uses the latest medications for medical abortions (RU-486, Mifeprex, Mifegyne, Mifepristone, early options French abortion pill), Methotrexate and Cytotec (Misoprostol). The safety standards of our Abu Dhabi, United Arab Emirates Abortion Doctors remain unparalleled. They consistently maintain the lowest complication rates throughout the nation. Our Physicians and staff are always available to answer questions and care for women in one of the most difficult times in their lives. The decision to have an abortion at the Abortion Cl

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...

?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@

💥 You’re lucky! We’ve found two different (lead) developers that are willing to share their valuable lessons learned about using UiPath Document Understanding! Based on recent implementations in appealing use cases at Partou and SPIE. Don’t expect fancy videos or slide decks, but real and practical experiences that will help you with your own implementations. 📕 Topics that will be addressed: • Training the ML-model by humans: do or don't? • Rule-based versus AI extractors • Tips for finding use cases • How to start 👨‍🏫👨‍💻 Speakers: o Dion Morskieft, RPA Product Owner @Partou o Jack Klein-Schiphorst, Automation Developer @Tacstone Technology

DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam

UiPathCommunity

Boost Fertility New Invention Ups Success Rates.pdf

sudhanshuwaghmare1

DBX First Quarter 2024 Investor Presentation

Dropbox

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER

MadyBayot

MINDCTI Revenue Release Quarter One 2024

MIND CTI

Keynote 2: APIs in 2030: The Risk of Technological Sleepwalk Paolo Malinverno, Growth Advisor - The Business of Technology Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...

apidays

In the thrilling conclusion to 2023, ransomware groups had a banner year, really outdoing themselves in the "make everyone's life miserable" department. LockBit 3.0 took gold in the hacking olympics, followed by the plucky upstarts Clop and ALPHV/BlackCat. Apparently, 48% of organizations were feeling left out and decided to get in on the cyber attack action. Business services won the "most likely to get digitally mugged" award, with education and retail nipping at their heels. Hackers expanded their repertoire beyond boring old encryption to the much more exciting world of extortion. The US, UK and Canada took top honors in the "countries most likely to pay up" category. Bitcoins were the currency of choice for discerning hackers, because who doesn't love untraceable money?

Ransomware_Q4_2023. The report. [EN].pdf

Overkill Security

Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

Exploring the Future Potential of AI-Enabled Smartphone Processors

debabhi2

Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Safe Software

Passkeys: Developing APIs to enable passwordless authentication Cody Salas, Sr Developer Advocate | Solutions Architect - Yubico Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...

apidays

Manulife - Insurer Transformation Award 2024

The Digital Insurer

Strategies for Landing an Oracle DBA Job as a Fresher

Remote DBA Services

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Juan lago vázquez

Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

Why Teams call analytics are critical to your entire business

panagenda

Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar. In this sequel, we’ll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Safe Software

MS Copilot expands with MS Graph connectors

Nanddeep Nachan

FWD Group - Insurer Innovation Award 2024

The Digital Insurer

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

Zilliz

Angeliki Cooney has spent over twenty years at the forefront of the life sciences industry, working out of Wynantskill, NY. She is highly regarded for her dedication to advancing the development and accessibility of innovative treatments for chronic diseases, rare disorders, and cancer. Her professional journey has centered on strategic consulting for biopharmaceutical companies, facilitating digital transformation, enhancing omnichannel engagement, and refining strategic commercial practices. Angeliki's innovative contributions include pioneering several software-as-a-service (SaaS) products for the life sciences sector, earning her three patents. As the Senior Vice President of Life Sciences at Avenga, Angeliki orchestrated the firm's strategic entry into the U.S. market. Avenga, a renowned digital engineering and consulting firm, partners with significant entities in the pharmaceutical and biotechnology fields. Her leadership was instrumental in expanding Avenga's client base and establishing its presence in the competitive U.S. market.

Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...

Angeliki Cooney