The document describes an automated system called AutoImPlan for planning total hip arthroplasty (THA) using CT images. The system segments the pelvis and femur from CT scans and performs automated planning by optimizing for anatomical compatibility and joint function. The planning is based on constraints from experienced surgeons. Results can be accessed remotely via a web-based interface that allows surgeons to preview, evaluate, and select planning solutions before importing them into commercial navigation systems. Evaluation of results found plans were accepted by surgeons with small adjustments needed and plans had similar limb length and range of motion as experienced surgeon plans.
The most powerful diagnostic image processing software from Carestream Health, EVP Plus enables users to automatically render images without a priori knowledge of exam or body-part.
For more information, please visit us at: http://www.carestream.com/directview-evp-plus-software.html
Modeling Cardiac Pacemakers With Timed Coloured Petri Nets And Related ToolsMohammed Assiri
Verification Grand Challenge is one of the Grand Challenges for Computing Research. Verification, which is the strict proof of the correctness of software according to its specifications, results in reliable software and potential cost reductions.
The cardiac pacemaker (pacemaker thereafter) is an electronic device that monitors and controls the heart rhythm via sensing and pacing operations. The pacemaker treats cardiac arrhythmia, defined as abnormal patterns of the heartbeat.
This research utilizes formal methods to model, validate and verify the interdisciplinary requirements of pacemaker systems.
Exploiting Kinetic and Kinematic Data to Plot Cyclograms for Managing the Reh...Luca Parisi
Kinematic data wisely correlate vector quantities in
space to scalar parameters in time to assess the degree of symmetry
between the intact limb and the amputated limb with respect to a
normal model derived from the gait of control group participants.
Furthermore, these particular data allow a doctor to preliminarily
evaluate the usefulness of a certain rehabilitation therapy.
Kinetic curves allow the analysis of ground reaction forces (GRFs)
to assess the appropriateness of human motion.
Electromyography (EMG) allows the analysis of the fundamental
lower limb force contributions to quantify the level of gait
asymmetry. However, the use of this technological tool is expensive
and requires patient’s hospitalization. This research work suggests
overcoming the above limitations by applying artificial neural
networks.
The most powerful diagnostic image processing software from Carestream Health, EVP Plus enables users to automatically render images without a priori knowledge of exam or body-part.
For more information, please visit us at: http://www.carestream.com/directview-evp-plus-software.html
Modeling Cardiac Pacemakers With Timed Coloured Petri Nets And Related ToolsMohammed Assiri
Verification Grand Challenge is one of the Grand Challenges for Computing Research. Verification, which is the strict proof of the correctness of software according to its specifications, results in reliable software and potential cost reductions.
The cardiac pacemaker (pacemaker thereafter) is an electronic device that monitors and controls the heart rhythm via sensing and pacing operations. The pacemaker treats cardiac arrhythmia, defined as abnormal patterns of the heartbeat.
This research utilizes formal methods to model, validate and verify the interdisciplinary requirements of pacemaker systems.
Exploiting Kinetic and Kinematic Data to Plot Cyclograms for Managing the Reh...Luca Parisi
Kinematic data wisely correlate vector quantities in
space to scalar parameters in time to assess the degree of symmetry
between the intact limb and the amputated limb with respect to a
normal model derived from the gait of control group participants.
Furthermore, these particular data allow a doctor to preliminarily
evaluate the usefulness of a certain rehabilitation therapy.
Kinetic curves allow the analysis of ground reaction forces (GRFs)
to assess the appropriateness of human motion.
Electromyography (EMG) allows the analysis of the fundamental
lower limb force contributions to quantify the level of gait
asymmetry. However, the use of this technological tool is expensive
and requires patient’s hospitalization. This research work suggests
overcoming the above limitations by applying artificial neural
networks.
A survey on Inverse ECG (electrocardiogram) based approachesIJMER
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.
A NEW APPROACH OF BRAIN TUMOR SEGMENTATION USING FAST CONVERGENCE LEVEL SETijbesjournal
Segmentation of region of interest has a critical task in image processing applications. The accuracy of Segmentation is based on processing methodology and limiting value used. In this paper, an enhanced approach of region segmentation using level set (LS) method is proposed, which is achieved by using cross over point in the valley point as a new dynamic stopping criterion in the level set segmentation. The proposed method has been tested with developed database of MR Images. From the test results, it is found that proposed method improves the convergence performance such as complexity in terms of number of iterations, delay and resource overhead as compared to conventional level set based segmentation
approach.
A survey on Inverse ECG (electrocardiogram) based approachesIJMER
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.
A NEW APPROACH OF BRAIN TUMOR SEGMENTATION USING FAST CONVERGENCE LEVEL SETijbesjournal
Segmentation of region of interest has a critical task in image processing applications. The accuracy of Segmentation is based on processing methodology and limiting value used. In this paper, an enhanced approach of region segmentation using level set (LS) method is proposed, which is achieved by using cross over point in the valley point as a new dynamic stopping criterion in the level set segmentation. The proposed method has been tested with developed database of MR Images. From the test results, it is found that proposed method improves the convergence performance such as complexity in terms of number of iterations, delay and resource overhead as compared to conventional level set based segmentation
approach.
An automated 3D cup planning method in total hip arthroplasty from a standard X-ray radiograph is described. To achieve this objective, we integrate a statistical reconstruction method of 2D-3D pelvis shape reconstruction method and a 3D automated cup planning method which have been previously proposed. In performance evaluation, we virtually simulated scale estimation error in 2D-3D reconstruction. There were no significant difference both in cup size error and positional error between 2D-3D reconstruction based automated planning and 3D-CT based automated planning when a scale estimation errors were equal and less than ±5%. As future direction, we will study whether scale estimation accuracy less than ±5% can be achieved or not in real clinical application.
This paper describes an overview of an automated planning system “AutoImPlan”. In “AutoImPlan”, planning
criteria are automatically defined from training datasets prepared by experienced surgeon while previous methods use
manually derived algorithms. According to the performance evaluation, size error in 34 cases out of 37 cases were within
one cases and average hip joint function values were higher than the surgeon’s plans.
covid 19 detection using lung x-rays.pptx.pptxDiya940551
Chest CT is emerging as a valuable diagnostic tool for the clinical management of COVID-19-associated lung disease. Artificial intelligence (AI) has the potential to aid in the rapid evaluation of CT scans for differentiation of COVID-19 findings from other clinical entities.
COMPARISON BETWEEN THE GENETIC ALGORITHMS OPTIMIZATION AND PARTICLE SWARM OPT...IAEME Publication
Close range photogrammetry network design is referred to the process of placing a set of
cameras in order to achieve photogrammetric tasks. The main objective of this paper is tried to find
the best location of two/three camera stations. The genetic algorithm optimization and Particle
Swarm Optimization are developed to determine the optimal camera stations for computing the three
dimensional coordinates. In this research, a mathematical model representing the genetic algorithm
optimization and Particle Swarm Optimization for the close range photogrammetry network is
developed. This paper gives also the sequence of the field operations and computational steps for this
task. A test field is included to reinforce the theoretical aspects.
An Exclusive Review of Popular Image Processing TechniquesChristo Ananth
Christo Ananth,"An Exclusive Review of Popular Image Processing Techniques", International Journal of Advanced Research in Management Architecture Technology & Engineering(IJARMATE),Volume 8,Issue 6,June 2022,pp:15-22.
Christo Ananth et al. discussed about a review paper which brings out a summary of popular image processing techniques in practice for students, faculty members and researchers in medical image processing field. Through Image processing, we do some operations on an image, to get an enhanced image or we try to acquire some useful information from it. They help in manipulating digital images through the use of computers. We Perform Image Restoration, Linear Filtering, Independent Component Analysis, Pixelation, Template Matching, Image Generation Techniques even to image to obtain promisable results. This Review Paper also summarizes some of the enhancement approaches which have impacted image segmentation approaches over these years.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
AutoImPlan: An automated system for CT-based THA planning
1. AutoImPlan : An Automated System for CT-based THA Planning - Planning Optimization Based on Anatomical Compatibility and Joint Function - ○ Itaru OTOMARU a , Masahiko NAKAMOTO b , Masaki TAKAO c , Nobuhiko SUGANO c , Yoshiyuki KAGIYAMA d , Hideki YOSHIKAWA c , Yukio TADA a and Yoshinobu SATO b a Graduate School of Engineering, Kobe University b Department of Radiology, Graduate School of Medicine, Osaka University c Department of Orthopaedics, Osaka University Graduate School of Medicine d The Center for Advanced Medical Engineering and Infomatics, OsakaUniversity
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Editor's Notes
Total planning is consist of two steps.
We show the expreimental results. ~ The surgeon accepted the automated planning in 31 cases and 14 cases and accepted in small adjustment in 10 cases and 23 cases in the stem planning and cup planning, respectively. Mean leg length discrepancy was 1.8 mm in the automated planning, and 2.5 mm in the surgeon’s plan. Meadn range onf motion was, 41.7 deg. in the automated planning and 47.7 deg. in the surgeon’s plan. LLD and ROM were approximately ~
We show the expreimental results. ~ The surgeon accepted the automated planning in 31 cases and 14 cases and accepted in small adjustment in 10 cases and 23 cases in the stem planning and cup planning, respectively. Mean leg length discrepancy was 1.8 mm in the automated planning, and 2.5 mm in the surgeon’s plan. Meadn range onf motion was, 41.7 deg. in the automated planning and 47.7 deg. in the surgeon’s plan. LLD and ROM were approximately ~
We show the expreimental results. ~ The surgeon accepted the automated planning in 31 cases and 14 cases and accepted in small adjustment in 10 cases and 23 cases in the stem planning and cup planning, respectively. Mean leg length discrepancy was 1.8 mm in the automated planning, and 2.5 mm in the surgeon’s plan. Meadn range onf motion was, 41.7 deg. in the automated planning and 47.7 deg. in the surgeon’s plan. LLD and ROM were approximately ~
We show you the overview of the WEB based preview system
Web preview system visualize the planning results and show the planning information using web browser. Surgeon can select the satisfied solution.
In the cup planning, ~
We show you the planning procedure of each implant. Stem planning is based on the statistical atlas which is constructed from the learning datasets of surgeon’s plan. The statistical atlas represents the average distace map between stem and medullary cavity. Size selection and positioning is performed so that the distance map becomes the same as that of the atlas.
We show you the overview of the WEB based preview system