Automatic fascicle length estimation on muscle ultrasound images with an orientation sensitive segmentation
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“Navigation in surgery” spans a broad area, which, depending on the clinical challenge, may have various interpretations. The meaning of navigation in surgery is most accurately defined by the questions posed: “Where is my (anatomical) target?”, “How do I reach my target safely?”, “Where am I (anatomically)?”, or “Where and how shall I position my implant?”. Apart from these important anatomical orientation questions, surgical navigation is also used as a measurement tool and an information center for providing surgeons with the right information at the right time.
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IEEE PROJECTS AVAILABLE,
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Learn more: https://www.brainlab.com/surgery-products
Abstract
Introduction “Navigation in surgery” spans a broad area, which, depending on the clinical challenge, can have different meanings. Over the past decade, navigation in surgery has evolved beyond imaging modalities and bulky systems into the rich networking of the cloud or devices that are pocket-sized.
Discussion
This article will review various aspects of navigation in the operating room and beyond. This includes a short history of navigation, the evolution of surgical navigation, as well as technical aspects and clinical benefits with examples from neurosurgery, spinal surgery, and orthopedics.
Conclusion
With improved computer technology and a trend towards advanced information processing within hospitals, navigation is quickly becoming an integral part in the surgical routine of clinicians.
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Over the last three decades, technical advances have significantly changed the way we live. From computers to smartphones, from single purpose to multipurpose devices, technology has become an intrinsic part of our daily routine. Navigation in surgery is an important example of today’s technological capabilities being applied to medicine. It has emerged as one of the most reliable representatives of technology as it continues to transform surgical interventions into safer and less invasive procedures. In surgery, navigation has spurred technical progress, enabled more daring procedures, and unlocked new synergies. What was once a simple localization tool has evolved into a centerpiece of technology in the surgical theater.
“Navigation in surgery” spans a broad area, which, depending on the clinical challenge, may have various interpretations. The meaning of navigation in surgery is most accurately defined by the questions posed: “Where is my (anatomical) target?”, “How do I reach my target safely?”, “Where am I (anatomically)?”, or “Where and how shall I position my implant?”. Apart from these important anatomical orientation questions, surgical navigation is also used as a measurement tool and an information center for providing surgeons with the right information at the right time.
There are examples of technological advances in the medical field, whose benefit to the patient became immediately evident which were rapidly adopted and integrated into the clinical routine—without the need for proper randomized clinical trials. Examples range from the introduction of anesthesia to enable safer surgery and the introduction of microscopy enabling microsurgery. Surgical navigation and its wide range of benefits could be next.
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Image guided surgery
This document discusses image guided surgery, which uses computer technology and 3D imaging like CT and MRI scans to guide surgical interventions. Key aspects covered include:
- Image guidance allows surgeons to view a patient's anatomy during surgery to locate structures hidden from direct vision.
- Registration aligns the 3D imaging with the patient's actual anatomy using tracking devices and fiducial markers.
- Volume rendering and surface rendering techniques are used to visualize 3D models of the patient's anatomy overlaid during surgery.
- Accuracy depends on factors like registration error and tracking device precision. Image guidance is useful for locating small structures in complex areas like the skull base.
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II. Passive visualization of guidewires and stents through MRI is sufficient for real-time monitoring of the procedure.
III. While MRI could provide advantages over x-ray for interventional cardiology, challenges include motion artifacts from breathing and heartbeat as well as the small, tortuous anatomy of coronary arteries.
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This study aimed to image atherosclerotic plaques in the aortas of Apo E deficient mice using MRI. To visualize the aorta, contrast agent was injected into mice both while inside and outside of the MRI scanner. Respiratory gating was used to reduce motion artifacts from breathing by intubating mice and providing ventilation. Initial scans showed the aorta but more optimization is needed, such as decreasing the dose of iron contrast agent used and adding ECG gating to address motion from the heart. Future plans include further refining the MRI protocol and beginning a similar study in rabbits.
Arciero Laprade knee ligament study Ortiz 2016 (1)
This study compared the Arciero and LaPrade techniques for reconstructing the posterolateral corner of the knee through biomechanical testing on 10 cadaver specimens. The specimens underwent mechanical testing to measure varus angulation and external rotation at different degrees of flexion before and after reconstructing the posterolateral corner with either the Arciero or LaPrade technique. Statistical analysis found no significant differences between the techniques in restoring knee stability following reconstruction of an isolated posterolateral corner injury or combined posterolateral corner and tibiofibular injury. Therefore, the study concludes that surgeons can select either technique without concern for varying surgical outcomes.
What's hot (19)
SøRen Toksvig Larsen. The Role Of Cas (Computer Assisted Surgery). Slide 1 39
SøRen Toksvig Larsen. The Role Of Cas (Computer Assisted Surgery). Slide 1 39
A Study on 3D Finite Element Analysis of Anterior Cruciate Ligament Behavior ...
A Study on 3D Finite Element Analysis of Anterior Cruciate Ligament Behavior ...
Biomechanical Properties of the AnteroLateral Ligament (ALL) of the Knee comp...
Biomechanical Properties of the AnteroLateral Ligament (ALL) of the Knee comp...
Additive Manufacturing and Testing of a Prosthetic Foot Ankle Joint
Additive Manufacturing and Testing of a Prosthetic Foot Ankle Joint
Arciero Laprade knee ligament study Ortiz 2016 (1)
Arciero Laprade knee ligament study Ortiz 2016 (1)
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IRJET - A Review on Segmentation of Chest Radiographs
This document reviews and compares various techniques for segmenting anatomical structures from chest radiographs. It begins with an introduction to image segmentation and its importance in medical imaging. It then describes 12 different segmentation methods that have been used for segmenting lungs and other structures from chest radiographs, including active shape models, active appearance models, pixel classification, visual saliency, convolutional neural networks, and others. For each method, it provides details on the algorithm and compares their performance based on accuracy, sensitivity and specificity. In conclusion, it discusses some of the challenges of medical image segmentation and suggests that hybrid approaches combining multiple techniques may be most effective.
A framework for automated spine and vertebrae interpolation based detection a...
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FUZZY CLUSTERING BASED SEGMENTATION OF VERTEBRAE IN T1-WEIGHTED SPINAL MR IMA...
The document summarizes a study that developed an automated method for segmenting vertebrae from T1-weighted spinal MRI images using fuzzy c-means clustering. The method first performs anisotropic diffusion filtering for pre-processing. It then applies fuzzy c-means clustering to segment the vertebrae. Various morphological operations are used as post-processing to extract and label the individual vertebrae. The method is compared to Otsu thresholding and K-means clustering. Validation using the Dice coefficient and Hausdorff distance measures showed the fuzzy clustering method provided more accurate segmentation of the vertebrae from the MR images.
Fuzzy Clustering Based Segmentation of Vertebrae in T1-Weighted Spinal MR Images
The document summarizes a study that developed an automated method for segmenting vertebrae from T1-weighted spinal MRI images using fuzzy c-means clustering. The method first performs anisotropic diffusion filtering for pre-processing. It then applies fuzzy c-means clustering to segment the vertebrae. Various morphological operations are used as post-processing to extract and label the individual vertebrae. The method is compared to Otsu thresholding and K-means clustering. Validation using the Dice coefficient and Hausdorff distance measures showed the fuzzy clustering method provided more accurate segmentation of the vertebrae from the MR images.
IEEE Medical image Title and Abstract 2016
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final poster
This document describes a study that aimed to develop algorithms to calculate 3D body segment orientations from motion capture (mocap) and IMU data during simulated manual work tasks. Participants performed tasks while wearing IMUs and optical markers tracked with mocap. Algorithms were developed in MATLAB to compute orientations of body segments from the mocap data by defining three coordinate systems - a provisional, global, and segment system - and relating them using Euler rotation matrices. The goal was to validate the mocap algorithm and integrate it with one calculating IMU orientations to allow field-based ergonomic assessments using body-worn IMUs.
G04401051055
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity
Mri image registration based segmentation framework for whole heart
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
Analysis of contrast concentration for radiological images using cbir framework
This document summarizes a research paper that proposes a framework for analyzing contrast concentration in radiological images using content-based image retrieval (CBIR). The framework uses adaptive complex independent component analysis and a reference region method to calculate intravascular contrast concentration, which is then corrected using pharmacokinetic modeling. CBIR is then used to incorporate the results into an MRI image database for similarity matching and image retrieval. The goal is to more precisely identify contrast agents in prostate cancer diagnosis to help physicians determine the correct treatment.
CARDAN-CYCLING-PAPER
This study examined how the choice of Cardan sequence affects 3D kinematic measurements of the lower extremities during cycling. The researchers found that the YXZ and ZXY sequences produced significantly greater peak angle and range of motion measurements in the sagittal, coronal, and transverse planes compared to other sequences. These sequences also exhibited the strongest correlations between the sagittal plane and other planes, indicating crosstalk. The researchers concluded that the XYZ sequence should continue to be used for cycling analysis to avoid inaccuracies from the YXZ and ZXY sequences.
Automatic Segmentation of the Lumen of the Carotid Artery in Ultrasound B-mod...
Automatic Segmentation of the Lumen of the Carotid Artery in Ultrasound B-mod...Associate Professor in VSB Coimbatore
A new algorithm is proposed for the segmentation of the lumen and bifurcation boundaries of the carotid artery in B-mode ultrasound images. It uses the hipoechogenic characteristics of the lumen for the identification of the carotid boundaries and the echogenic characteristics for the identification of the bifurcation boundaries. The image to be segmented is processed with the application of an anisotropic diffusion filter for speckle removal and morphologic operators are employed in the detection of the artery. The obtained information is then used in the definition of two initial contours, one corresponding to the lumen and the other to the bifurcation boundaries, for the posterior application of the Chan-vese level set segmentation model. A set of longitudinal B-mode images of the common carotid artery (CCA) was acquired with a GE Healthcare Vivid-e ultrasound system (GE Healthcare, United Kingdom). All the acquired images include a part of the CCA and of the bifurcation that separates the CCA into the internal and external carotid arteries. In order to achieve the uppermost robustness in the imaging acquisition process, i.e., images with high contrast and low speckle noise, the scanner was adjusted differently for each acquisition and according to the medical exam. The obtained results prove that we were able to successfully apply a carotid segmentation technique based on cervical ultrasonography. The main advantage of the new segmentation method relies on the automatic identification of the carotid lumen, overcoming the limitations of the traditional methods.Capstone poster draft team 1 [Autosaved]-2-3
This document summarizes the design and development of an optical coherence elastography (OCE) probe capable of detecting aberrant crypt foci (ACF). Key points:
- The probe was able to generate elasticity maps of tissue phantoms using OCE, allowing analysis of changes in elastic properties. This theoretically allows diagnosis of ACF, which alters tissue elasticity.
- Future work includes implementing in vivo OCE, beam scanning, and a side-scanning probe design with greater application for in vivo use. Access to an FDML laser could enable real-time 3D endoscopy.
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Framework for progressive segmentation of chest radiograph for efficient diag...
Segmentation is one of the most essential steps required to identify the inert object in the chest x-ray. A review with the existing segmentation techniques towards chest x-ray as well as other vital organs was performed. The main objective was to find whether existing system offers accuracy at the cost of recursive and complex operations. The proposed system contributes to introduce a framework that can offer a good balance between computational performance and segmentation performance. Given an input of chest x-ray, the system offers progressive search for similar image on the basis of similarity score with queried image. Region-based shape descriptor is applied for extracting the feature exclusively for identifying the lung region from the thoracic region followed by contour adjustment. The final segmentation outcome shows accurate identification followed by segmentation of apical and costophrenic region of lung. Comparative analysis proved that proposed system offers better segmentation performance in contrast to existing system.
Leap - Learning Adaptive Prosthetic Limb
This document proposes using an adaptive neuro-fuzzy inference system (ANFIS) to control the damping value of a prosthetic limb. It summarizes previous research on prosthetic limb control that used techniques like magnetorheological damping and microprocessor algorithms. The proposed system would use ANFIS for intelligent control of damping value. ANFIS combines fuzzy logic and neural networks. It would allow the prosthesis to adapt damping based on gait recognition using past experiences stored in patterns identified through principle component analysis. The goal is to automatically adapt damping for different activities like lifting loads, unlike previous methods that focused only on level walking.
Optical coherence biometry
This document summarizes key details about optical coherence biometry, a new optical method for measuring eye dimensions as an alternative to ultrasound biometry. It discusses the measurement principles, comparisons to ultrasound measurements, and evaluation of the Zeiss IOLMaster device which combines optical coherence biometry with keratometry and anterior chamber depth measurements. Studies found excellent correlation between optical and ultrasound axial length measurements, with optical lengths on average 0.3mm longer than ultrasound lengths. Reproducibility of measurements was high for both optical coherence biometry and ultrasound.
journalism research
The journal publishes original works with practical significance and academic value. Authors are invited to submit theoretical or empirical papers in all aspects of management, including strategy, human resources, marketing, operations, technology, information systems, finance and accounting, business economics, and public sector management. IJMRR is an international forum for research that advances the theory and practice of management. All papers submitted to IJMRR are subject to a double-blind peer review process.
Estimation of Walking rate in Complex activity recognition
This document summarizes a study that investigated using a flexible conductive polymer sensor embedded in leggings to monitor knee movement and activity recognition. The sensor was connected to a wireless sensing node to collect data. Twelve subjects performed walking, running, and stair activities while wearing the smart leggings. Test-retest reliability of the sensor output range showed good to excellent reliability. Discrimination of activities was achieved using total power and median frequency features from the sensor signal, demonstrating over 90% accuracy. The system shows potential for assessing knee function during daily activities.
Art_11_Sinclar
This study examined the relationship between cycling economy, measured as oxygen consumption (VO2), and simultaneous measurements of 3D kinematics and electromyography in trained cyclists. A multiple regression analysis showed that peak knee extension velocity and mean activity of the rectus femoris muscle were significant predictors of VO2 during steady state cycling. This was the first study to relate cycling economy to 3D kinematic and electromyography measurements, providing insight into optimizing biomechanical parameters to improve cycling performance.
3d ultrasound-guided-robotic-needle-steering-in-biological-tissue
3d ultrasound-guided-robotic-needle-steering-in-biological-tissue
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3 d ultrasound guided robotic needle steering in biological tissue
Robotic needle steering systems have the potential to improve medical interventions but require new methods for medical image guidance. The document proposes using 3D ultrasound with a vibrating steerable needle visible in Doppler images to provide real-time feedback for needle steering robots. Experiments show the needle can be segmented from the Doppler data to within 1-2mm accuracy. A robotic needle steering system using this imaging and control achieved an average targeting error of 1.57mm in tests steering a needle in ex vivo bovine liver tissue.
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FUZZY CLUSTERING BASED SEGMENTATION OF VERTEBRAE IN T1-WEIGHTED SPINAL MR IMA...
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3d ultrasound-guided-robotic-needle-steering-in-biological-tissue
3 d ultrasound guided robotic needle steering in biological tissue
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Design of a low voltage low-dropout regulator
This document outlines the sections and contents for a project report on designing a low-voltage low-dropout regulator. It includes sections for an abstract, introduction, literature survey, existing and proposed systems, advantages, requirements, diagrams, implementation, testing, conclusions, and references. Contact information and course offerings are also provided for i3e Technologies.
An efficient constant multiplier architecture based on vertical horizontal bi...
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Aging aware reliable multiplier design with adaptive hold logic
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A high performance fir filter architecture for fixed and reconfigurable appli...
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A generalized algorithm and reconfigurable architecture for efficient and sca...
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A combined sdc sdf architecture for normal i o pipelined radix-2 fft
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Pre encoded multipliers based on non-redundant radix-4 signed-digit encoding
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Energy optimized subthreshold vlsi logic family with unbalanced pull up down ...
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Variable form carrier-based pwm for boost-voltage motor driver with a charge-...
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Ultrasparse ac link converters
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Single inductor dual-output buck–boost power factor correction converter
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Ripple minimization through harmonic elimination in asymmetric interleaved mu...
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Resonance analysis and soft switching design of isolated boost converter with...
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Reliability evaluation of conventional and interleaved dc–dc boost converters
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Power factor corrected zeta converter based improved power quality switched m...
The document describes a proposed switched mode power supply (SMPS) system that uses a front-end power factor corrected Zeta converter to improve power quality. The front-end converter reduces 100-Hz ripple and improves power factor and voltage regulation. Simulation and testing of a laboratory prototype showed the proposed SMPS enhanced performance under varying input voltages and loading conditions, meeting international power quality standards.
Pfc cuk converter fed bldc motor drive
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Optimized operation of current fed dual active bridge dc dc converter for pv ...
This document discusses optimized operation of a current-fed dual active bridge DC-DC converter for photovoltaic applications. It analyzes the operating principle and soft-switching conditions over a wide operating range with phase shift and duty cycle control. An optimized operating mode is proposed to achieve minimum RMS transformer current and extend the soft-switching region to reduce losses. Experimental results from a 5 kW hardware prototype verify the analysis. Contact and location information is also provided for an organization that develops IEEE software and hardware projects.
Online variable topology type photovoltaic grid-connected inverter
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An efficient constant multiplier architecture based on vertical horizontal bi...
An efficient constant multiplier architecture based on vertical horizontal bi...
Aging aware reliable multiplier design with adaptive hold logic
Aging aware reliable multiplier design with adaptive hold logic
A high performance fir filter architecture for fixed and reconfigurable appli...
A high performance fir filter architecture for fixed and reconfigurable appli...
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A generalized algorithm and reconfigurable architecture for efficient and sca...
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A combined sdc sdf architecture for normal i o pipelined radix-2 fft
Reverse converter design via parallel prefix adders novel components, method...
Reverse converter design via parallel prefix adders novel components, method...
Pre encoded multipliers based on non-redundant radix-4 signed-digit encoding
Pre encoded multipliers based on non-redundant radix-4 signed-digit encoding
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Energy optimized subthreshold vlsi logic family with unbalanced pull up down ...
Variable form carrier-based pwm for boost-voltage motor driver with a charge-...
Variable form carrier-based pwm for boost-voltage motor driver with a charge-...
Single inductor dual-output buck–boost power factor correction converter
Single inductor dual-output buck–boost power factor correction converter
Ripple minimization through harmonic elimination in asymmetric interleaved mu...
Ripple minimization through harmonic elimination in asymmetric interleaved mu...
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Resonance analysis and soft switching design of isolated boost converter with...
Reliability evaluation of conventional and interleaved dc–dc boost converters
Reliability evaluation of conventional and interleaved dc–dc boost converters
Power factor corrected zeta converter based improved power quality switched m...
Power factor corrected zeta converter based improved power quality switched m...
Optimized operation of current fed dual active bridge dc dc converter for pv ...
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Null Bangalore | Pentesters Approach to AWS IAM
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
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1.高仿业务:【本科硕士】毕业证,成绩单（GPA修改）,学历认证（教育部认证）,大学Offer,,ID,留信认证,使馆认证,雅思,语言证书等高仿类证书；
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3.技术服务：钢印水印烫金激光防伪凹凸版设计印刷激凸温感光标底纹镭射速度快。
办理加利福尼亚艺术学院加利福尼亚艺术学院毕业证文凭证书流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
-办理真实使馆公证（即留学回国人员证明）
-办理各国各大学文凭（世界名校一对一专业服务,可全程监控跟踪进度）
-全套服务：毕业证成绩单真实使馆公证真实教育部认证。让您回国发展信心十足！
（详情请加一下 文凭顾问+微信:95270640）欢迎咨询！子小伍玩小伍比山娃小一岁虎头虎脑的很霸气父亲让山娃跟小伍去夏令营听课山娃很高兴夏令营就设在附近一所小学山娃发现那所小学比自己的学校更大更美操场上还铺有塑胶跑道呢里面很多小朋友一班一班的快快乐乐原来城里娃都藏这儿来了怪不得平时见不到他们山娃恍然大悟起来吹拉弹唱琴棋书画山娃都不懂却什么都想学山娃怨自己太笨什么都不会斟酌再三山娃终于选定了学美术当听说每月要交元时父亲犹豫了山娃也说爸算了吧咱学校一学期才转
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
Object Oriented Analysis and Design - OOAD
This ppt gives detailed description of Object Oriented Analysis and design.
Gas agency management system project report.pdf
The project entitled "Gas Agency" is done to make the manual process easier by making it a computerized system for billing and maintaining stock. The Gas Agencies get the order request through phone calls or by personal from their customers and deliver the gas cylinders to their address based on their demand and previous delivery date. This process is made computerized and the customer's name, address and stock details are stored in a database. Based on this the billing for a customer is made simple and easier, since a customer order for gas can be accepted only after completing a certain period from the previous delivery. This can be calculated and billed easily through this. There are two types of delivery like domestic purpose use delivery and commercial purpose use delivery. The bill rate and capacity differs for both. This can be easily maintained and charged accordingly.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...Paris Salesforce Developer Group
Build the Next Generation of Apps with the Einstein 1 Platform.
Rejoignez Philippe Ozil pour une session de workshops qui vous guidera à travers les détails de la plateforme Einstein 1, l'importance des données pour la création d'applications d'intelligence artificielle et les différents outils et technologies que Salesforce propose pour vous apporter tous les bénéfices de l'IA.Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Design and optimization of ion propulsion drone
Electric propulsion technology is widely used in many kinds of vehicles in recent years, and aircrafts are no exception. Technically, UAVs are electrically propelled but tend to produce a significant amount of noise and vibrations. Ion propulsion technology for drones is a potential solution to this problem. Ion propulsion technology is proven to be feasible in the earth’s atmosphere. The study presented in this article shows the design of EHD thrusters and power supply for ion propulsion drones along with performance optimization of high-voltage power supply for endurance in earth’s atmosphere.
Rainfall intensity duration frequency curve statistical analysis and modeling...
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
一比一原版(osu毕业证书)美国俄勒冈州立大学毕业证如何办理
原版一模一样【微信：741003700 】【(osu毕业证书)美国俄勒冈州立大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(osu毕业证书)美国俄勒冈州立大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(osu毕业证书)美国俄勒冈州立大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(osu毕业证书)美国俄勒冈州立大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(osu毕业证书)美国俄勒冈州立大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
Software Engineering and Project Management - Introduction, Modeling Concepts...
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 08 Doors and Windows.pdf
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 08 Doors and Windows
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IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf
1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Rainfall intensity duration frequency curve statistical analysis and modeling...
Rainfall intensity duration frequency curve statistical analysis and modeling...
Software Engineering and Project Management - Introduction, Modeling Concepts...
Software Engineering and Project Management - Introduction, Modeling Concepts...
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 08 Doors and Windows.pdf
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 08 Doors and Windows.pdf
Automatic fascicle length estimation on muscle ultrasound images with an orientation sensitive segmentation
- 1. AUTOMATIC FASCICLE LENGTH ESTIMATION ON MUSCLE ULTRASOUND IMAGES WITH AN ORIENTATION-SENSITIVE SEGMENTATION ABSTRACT Goal:Fascicle length obtained by ultrasoundimaging is one of the crucial muscle architecture parameters forunderstanding the contraction mechanics and pathologicalconditions of muscles. However, the lack of a reliable automaticmeasurement method restricts the application of fascicle lengthfor the analysis of muscle function, as frame-by-frame manualmeasurement is time-consuming. In this study, we propose anautomatic measurement method to preclude the influence ofnon-fascicle components on the estimation of fascicle length byusing motion estimation of fascicle structures. Methods:Themethod starts with image segmentation using the cohesiveness offascicle orientation as a feature, obtaining the fascicle change bytracking manually marked points on the fascicular path with the Lucas–Kanade optical flow algorithm applied on the segmentedimage. Results:The performance of this method was evaluated onultrasound images of the gastronomies obtained from 7 healthysubjects (34.4 ± 5.0 years). Waveform similarity between themanual and dynamic measurements was assessed by calculatingthe overall similarity with the coefficient of multiple correlations(CMC). In vivo experiments demonstrated that fascicle trackingwith the orientation-sensitive segmentation (CMC = 0.97 ± 0.01)was more consistent with the manual measurements than existingautomatic methods (CMC = 0.87 ± 0.10). Conclusion:Our methodwas robust to the interference of non-fascicle components,resulting in a more reliable measurement of fascicle length. Significance:The proposed method may facilitate furtherresearch and applications related to real-time architecturalchange of muscles.