Human activities can introduce variations in various environmental cues, such as light and sound, which can serve as inputs for interfaces. However, one often overlooked aspect is the airflow variation caused by these activities, which presents challenges in detection and utilization due to its intangible nature. In this paper, we have unveiled an approach using mist to capture invisible airflow variations, rendering them detectable by Time-of-Flight (ToF) sensors. We investigate the capability of this sensing technique under different types of mist or smoke, as well as the impact of airflow speed. To illustrate the feasibility of this concept, we created a prototype using a humidifier and demonstrated its capability to recognize motions. On this basis, we introduce potential applications, discuss inherent limitations, and provide design lessons grounded in mist-based airflow sensing.
Wearable Accelerometer Optimal Positions for Human Motion Recognition(LifeTec...sugiuralab
Wearable Accelerometer Optimal Positions for Human Motion Recognition. The 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech 2020), March 10-11, 2020
Respiration Monitoring System of Lung Phantom Using Magnetic SensorjournalBEEI
Monitoring vital signs is substantial in healthcare to assist both diagnosis and treatment. This work proposes a means of telemonitoring system at initial stage to observe respiratory pattern on lung phantom. Magnetic sensor module LDC1000 is used to read inductance value of conductive material in relation to distance variation. Therefore, respiration pattern can be observed. In continuous mode, the inspiration inductance value is 8 uH, while expiration is 17 uH, with stoppage is 17 uH. For static measurement, the inspiration inductance value is 7.80 uH, while expiration is 16.46 uH and stoppage is 16.46 uH. Those values could be further referred for vital signs telemonitoring system design based on contactless and portable devices.
3D-PTV is a 3D Particle Tracking Velocimetry experimental technique used in the experimental research of turbulence. main source of information is http://ptvwiki.netcipia.net
Wearable Accelerometer Optimal Positions for Human Motion Recognition(LifeTec...sugiuralab
Wearable Accelerometer Optimal Positions for Human Motion Recognition. The 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech 2020), March 10-11, 2020
Respiration Monitoring System of Lung Phantom Using Magnetic SensorjournalBEEI
Monitoring vital signs is substantial in healthcare to assist both diagnosis and treatment. This work proposes a means of telemonitoring system at initial stage to observe respiratory pattern on lung phantom. Magnetic sensor module LDC1000 is used to read inductance value of conductive material in relation to distance variation. Therefore, respiration pattern can be observed. In continuous mode, the inspiration inductance value is 8 uH, while expiration is 17 uH, with stoppage is 17 uH. For static measurement, the inspiration inductance value is 7.80 uH, while expiration is 16.46 uH and stoppage is 16.46 uH. Those values could be further referred for vital signs telemonitoring system design based on contactless and portable devices.
3D-PTV is a 3D Particle Tracking Velocimetry experimental technique used in the experimental research of turbulence. main source of information is http://ptvwiki.netcipia.net
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.
Accuracy Improvement of PM Measuring Instrumentsijtsrd
The PM10 concentration in the underground areas should be monitored to protect the health of the commuters in the underground subway system. The purpose of this work is to study the reliability of the instruments using light scattering method to measure the PM10 concentrations continuously. A linear regression analysis method is used to improve the performance of the instruments using light scattering method. Some experimental results show that a linear regression technique would be very helpful for the performance improvement of light scattering instruments such as Air test PM2500 and HCT 4103. Tae-In Hyon | Gyu-Sik Kim "Accuracy Improvement of PM Measuring Instruments" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26722.pdfPaper URL: https://www.ijtsrd.com/engineering/electrical-engineering/26722/accuracy-improvement-of-pm-measuring-instruments/tae-in-hyon
Analysis of Fall Detection Systems: A Reviewijtsrd
Since falls are a major public health problem among older people, the number of systems aimed at detecting them has increased dramatically over recent years. This work presents an extensive literature review of fall detection systems, including comparisons among various kinds of studies. It aims to serve as a reference for both clinicians and biomedical engineers planning or conducting field investigations. Challenges, issues and trends in fall detection have been identified after the reviewing work. The number of studies using context aware techniques is still increasing but there is a new trend towards the integration of fall detection into smart phones as well as the use of machine learning methods in the detection algorithm. We have also identified challenges regarding performance under real life conditions, usability, and user acceptance as well as issues related to power consumption, real time operations, sensing limitations, privacy and record of real life falls. Nikita Vidua | Prof. Avinash Sharma "Analysis of Fall Detection Systems: A Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29467.pdfPaper URL: https://www.ijtsrd.com/computer-science/other/29467/analysis-of-fall-detection-systems-a-review/nikita-vidua
The window functions used for digital filter design are used to eliminate oscillations in
the FIR (Finite Impulse Response) filter design. In this work, the use of Particle Swarm Optimization
(PSO) algorithm is proposed in the design of cosh window function, in which has widely used in the
literature and has useful spectral parameters. The cosh window is a window function derived from the
Kaiser window. It is more advantageous than the Kaiser window because there is no power series
expansion in the time domain representation. The designed window function shows better ripple ratio
characteristics than other window functions commonly used in the literature. The results obtained
were presented in tables and figures and successful results were obtained
Dynamic Analysis and Human Comfort Evaluation of Soccer Stadium GrandstandsIJERA Editor
Over the years, many soccer stadiums in Brazil have been designed to withstand accidental loads (people loads) to be of static type. However, based on the changes in the people’s behaviour, especially in soccer matches, through the action of groups of fans and also with the use of these structures for rock concerts, these structural systems have been subjected to dynamic impacts related to the dynamic nature of the applied loads. Therefore, some of these stadiums in Brazil have presented excessive vibration problems and have required an effective consideration of the dynamic loadings in the structural design. This way, this research work aims to study the dynamic structural behaviour and evaluate the structural system performance of the Brasilia National Stadium grandstands, when the human comfort is considered. The results achieved during the development of this study are compared with those provided by design standards and international recommendations. The presented results show the relevance of the dynamic analysis on the structural design of soccer stadiums, with respect to obtaining relevant data for human comfort and as well safety of users of this type of structure
New Research Articles 2019 July Issue International Journal of Artificial Int...gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas
Automatic Extraction of Diaphragm Motion and Respiratory Pattern from Time-se...Nooria Sukmaningtyas
Thoracic time-sequential MRI can be used to assess diaphragm motion pattern without exposing
radiation to subject. Clinicians may employ the motion to evaluate the severeness of chronic obstructive
pulmonary disease (COPD). This study proposed a novel method of diaphragm motion extraction method
on time-sequential thoracic MRI in sagittal plane. Otsu’s threshold and active contour algorithm are used to
obtain diaphragm boundary. An automatic diaphragm motion tracking and extraction of respiratory pattern
are also performed based on the diaphragm boundary. A total of 1200 frames time-sequential MRI in
sagittal plane was obtained for total of 15 subjects (8 healthy volunteers and 7 COPD patients). The
proposed method successfully extracts diaphragm motion and respiratory patterns for both healthy
volunteers and COPD patients.
A Robot Collision Avoidance Method Using Kinect and Global VisionTELKOMNIKA JOURNAL
This paper introduces a robot collision avoidance method using Kinect and global vision to
improve the industrial robot’s security. Global vision is installed above the robot, and a combination of the
background-difference method and the Otsu algorithm are used. Human skeleton detection is then
introduced to detect the location information of the human body. The collided objects are classified into
nonhuman and human obstacle which is further categorized into the human head and non-head areas
such as the arm. The Kalman filter is used to predict the human gesture. The human joints danger index is
used to evaluate the risk level of the human on the basis of human body joints and robot’s motion
information. Finally, a motion control strategy is adopted in view of obstacle categories and the human joint
danger index. Results show that the proposed method can effectively improve robot’s security in real time.
The numerical foundations of the brain's waterscapeMarie E. Rognes
Your brain has its own waterscape: whether you are reading or sleeping, fluid flows around or through the brain tissue and clears waste in the process. These physiological processes are crucial for the well-being of the brain. In spite of their importance we understand them but little, and mathematical modelling could play a crucial role in gaining new insight.
These slides accompanied my talk on this topic at the Laboratory Seminar at the Laboratoire Jacques-Louis Lions on April 9 2021.
This research is supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme under grant agreement 714892 (Waterscales), by the Research Council of Norway under grant #250731 (Waterscape), and by the EPSRC Centre For Doctoral Training in Industrially Focused 706 Mathematical Modelling (EP/L015803/1).
Fall Detection System for the Elderly based on the Classification of Shimmer ...Moiz Ahmed
The purpose of this research was to use a body sensor network to analyze falls in elderly. Real-time data from Shimmer device could be the analysis for detection of certain activities of daily livings as well as certain cases of falls.
For more information read the publication:
http://pdf.medrang.co.kr/Hir/2017/023/Hir023-03-03.pdf
Design of the Stampede Preventing Monitoring and Early Warning System Based o...IJRES Journal
In order to explore the new method for monitoring the flow of people, improve the safety
management level of the crowd decentralization, and prevent the occurrence of stampedeaccident, we have
designed this system. In this paper, the real-time video transmission and computer technology are combined to
develop the monitoring equipment of the crowd, and constitute a stampede preventing monitoring and early
warning system with the quadrotor unmanned aerial vehicle (UAV) flight platform. Using a quadrotor UAV to
acquired video data, put the flow of people density real-time transmit to the background. The data compared
with the mathematical model of early warning that we make, early warning signal is automatically calculated.
With green, yellow, red warning lights and alarm to realize alarm prompt, So asto provide the basis for site
manager to make decision on the spot and guidance, make emergency plans in time.
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.
Accuracy Improvement of PM Measuring Instrumentsijtsrd
The PM10 concentration in the underground areas should be monitored to protect the health of the commuters in the underground subway system. The purpose of this work is to study the reliability of the instruments using light scattering method to measure the PM10 concentrations continuously. A linear regression analysis method is used to improve the performance of the instruments using light scattering method. Some experimental results show that a linear regression technique would be very helpful for the performance improvement of light scattering instruments such as Air test PM2500 and HCT 4103. Tae-In Hyon | Gyu-Sik Kim "Accuracy Improvement of PM Measuring Instruments" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26722.pdfPaper URL: https://www.ijtsrd.com/engineering/electrical-engineering/26722/accuracy-improvement-of-pm-measuring-instruments/tae-in-hyon
Analysis of Fall Detection Systems: A Reviewijtsrd
Since falls are a major public health problem among older people, the number of systems aimed at detecting them has increased dramatically over recent years. This work presents an extensive literature review of fall detection systems, including comparisons among various kinds of studies. It aims to serve as a reference for both clinicians and biomedical engineers planning or conducting field investigations. Challenges, issues and trends in fall detection have been identified after the reviewing work. The number of studies using context aware techniques is still increasing but there is a new trend towards the integration of fall detection into smart phones as well as the use of machine learning methods in the detection algorithm. We have also identified challenges regarding performance under real life conditions, usability, and user acceptance as well as issues related to power consumption, real time operations, sensing limitations, privacy and record of real life falls. Nikita Vidua | Prof. Avinash Sharma "Analysis of Fall Detection Systems: A Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29467.pdfPaper URL: https://www.ijtsrd.com/computer-science/other/29467/analysis-of-fall-detection-systems-a-review/nikita-vidua
The window functions used for digital filter design are used to eliminate oscillations in
the FIR (Finite Impulse Response) filter design. In this work, the use of Particle Swarm Optimization
(PSO) algorithm is proposed in the design of cosh window function, in which has widely used in the
literature and has useful spectral parameters. The cosh window is a window function derived from the
Kaiser window. It is more advantageous than the Kaiser window because there is no power series
expansion in the time domain representation. The designed window function shows better ripple ratio
characteristics than other window functions commonly used in the literature. The results obtained
were presented in tables and figures and successful results were obtained
Dynamic Analysis and Human Comfort Evaluation of Soccer Stadium GrandstandsIJERA Editor
Over the years, many soccer stadiums in Brazil have been designed to withstand accidental loads (people loads) to be of static type. However, based on the changes in the people’s behaviour, especially in soccer matches, through the action of groups of fans and also with the use of these structures for rock concerts, these structural systems have been subjected to dynamic impacts related to the dynamic nature of the applied loads. Therefore, some of these stadiums in Brazil have presented excessive vibration problems and have required an effective consideration of the dynamic loadings in the structural design. This way, this research work aims to study the dynamic structural behaviour and evaluate the structural system performance of the Brasilia National Stadium grandstands, when the human comfort is considered. The results achieved during the development of this study are compared with those provided by design standards and international recommendations. The presented results show the relevance of the dynamic analysis on the structural design of soccer stadiums, with respect to obtaining relevant data for human comfort and as well safety of users of this type of structure
New Research Articles 2019 July Issue International Journal of Artificial Int...gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas
Automatic Extraction of Diaphragm Motion and Respiratory Pattern from Time-se...Nooria Sukmaningtyas
Thoracic time-sequential MRI can be used to assess diaphragm motion pattern without exposing
radiation to subject. Clinicians may employ the motion to evaluate the severeness of chronic obstructive
pulmonary disease (COPD). This study proposed a novel method of diaphragm motion extraction method
on time-sequential thoracic MRI in sagittal plane. Otsu’s threshold and active contour algorithm are used to
obtain diaphragm boundary. An automatic diaphragm motion tracking and extraction of respiratory pattern
are also performed based on the diaphragm boundary. A total of 1200 frames time-sequential MRI in
sagittal plane was obtained for total of 15 subjects (8 healthy volunteers and 7 COPD patients). The
proposed method successfully extracts diaphragm motion and respiratory patterns for both healthy
volunteers and COPD patients.
A Robot Collision Avoidance Method Using Kinect and Global VisionTELKOMNIKA JOURNAL
This paper introduces a robot collision avoidance method using Kinect and global vision to
improve the industrial robot’s security. Global vision is installed above the robot, and a combination of the
background-difference method and the Otsu algorithm are used. Human skeleton detection is then
introduced to detect the location information of the human body. The collided objects are classified into
nonhuman and human obstacle which is further categorized into the human head and non-head areas
such as the arm. The Kalman filter is used to predict the human gesture. The human joints danger index is
used to evaluate the risk level of the human on the basis of human body joints and robot’s motion
information. Finally, a motion control strategy is adopted in view of obstacle categories and the human joint
danger index. Results show that the proposed method can effectively improve robot’s security in real time.
The numerical foundations of the brain's waterscapeMarie E. Rognes
Your brain has its own waterscape: whether you are reading or sleeping, fluid flows around or through the brain tissue and clears waste in the process. These physiological processes are crucial for the well-being of the brain. In spite of their importance we understand them but little, and mathematical modelling could play a crucial role in gaining new insight.
These slides accompanied my talk on this topic at the Laboratory Seminar at the Laboratoire Jacques-Louis Lions on April 9 2021.
This research is supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme under grant agreement 714892 (Waterscales), by the Research Council of Norway under grant #250731 (Waterscape), and by the EPSRC Centre For Doctoral Training in Industrially Focused 706 Mathematical Modelling (EP/L015803/1).
Fall Detection System for the Elderly based on the Classification of Shimmer ...Moiz Ahmed
The purpose of this research was to use a body sensor network to analyze falls in elderly. Real-time data from Shimmer device could be the analysis for detection of certain activities of daily livings as well as certain cases of falls.
For more information read the publication:
http://pdf.medrang.co.kr/Hir/2017/023/Hir023-03-03.pdf
Design of the Stampede Preventing Monitoring and Early Warning System Based o...IJRES Journal
In order to explore the new method for monitoring the flow of people, improve the safety
management level of the crowd decentralization, and prevent the occurrence of stampedeaccident, we have
designed this system. In this paper, the real-time video transmission and computer technology are combined to
develop the monitoring equipment of the crowd, and constitute a stampede preventing monitoring and early
warning system with the quadrotor unmanned aerial vehicle (UAV) flight platform. Using a quadrotor UAV to
acquired video data, put the flow of people density real-time transmit to the background. The data compared
with the mathematical model of early warning that we make, early warning signal is automatically calculated.
With green, yellow, red warning lights and alarm to realize alarm prompt, So asto provide the basis for site
manager to make decision on the spot and guidance, make emergency plans in time.
EarAuthCam: Personal Identification and Authentication Method Using Ear Image...sugiuralab
Earphones are now used for longer hours than before with the advancement in wireless technology and miniaturization. In addition, the application of earphones has become more diverse, and opportunities to access highly confidential information through them have increased. We propose a method comprising a hearable device equipped with a small camera for user authentication from ear images. This method improves the security of the hearable device. Ear images are first captured with the camera. The ear regions in the images are then extracted using a mask region-based convolutional neural network. Finally, the user is identified using histograms of oriented gradient features and a support vector machine (SVM). Our method was able to identify 18 participants with an accuracy of 84.1%. Users are authenticated through unsupervised anomaly detection using an autoencoder with an error rate of 8.36%. This method facilitates hands- and eye-free operations without requiring any explicit authentication action by the user.
Identification and Authentication Using Claviclessugiuralab
Identification and Authentication Using Clavicles
Yohei Kawasaki, Yuta Sugiura
2023 62nd Annual Conference of the Society of Instrument and Control Engineers (SICE), Mie, Japan, 2023
A Virtual Window Using Curtains and Image Projectionsugiuralab
A Virtual Window Using Curtains and Image Projection
Naoharu Sawada, Takumi Yamamoto, Yuta Sugiura
In Proceedings of the 15th Asia Pacific Workshop on Mixed and Augmented Reality (APMAR2023) , IEEE, August 18-19, 2023, Taipei, Taiwan.
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/
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
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
Connector Corner: Automate dynamic content and events by pushing a button
Seeing the Wind: An Interactive Mist Interface for Airflow Input
1. Seeing theWind:
An Interactive Mist Interface forAirflow Input
1: Department of Information and Computer Science, Keio University, Japan
2: Guangzhou Institute ofTechnology, Xidian University, China
Seeing theWind
An Interactive Mist Interface for Airflow Input
Tian Min1, Chengshuo Xia1, 2,TakumiYamamoto1 andYuta Sugiura1
2. 2
Airflow: HumanActivity Recognition
In addition to naturally occurring airflow,
Human activities can generate airflow through various means,
such as blowing, walking, or waving, among other methods.
9. 9
Mist SensingTechnique
MistTypes Airflow Direction Airflow Intensity
Empty
Dry Ice
Humidifier
Cigarette
HotWater
Incense
Vaporizer
SensorData
(mm)
Time (frame) Number of Particles (per/L)
Higher particle concentrations result in a higher efficiency of blocking the infrared light.
11. 11
Mist SensingTechnique
MistTypes Airflow Direction Airflow Intensity
ToF Sensor
Anemometer
Fan
Time (Frame)
Notably, we observed a clear nonlinear relationship between airflow velocity and mist dispersal
Sensor
Data
(mm)
13. 13
Implementation: Recognition Method
Sensor 1
Sensor 2
Sensor 3
Proportion of PositiveValues (PPV)
Mean of PositiveValues (MPV)
Mean of Indices of PositiveValues (MIPV)
Longest Stretch of PositiveValues (LSPV)
A Single Convolutional Output
InputTime Series Apply Random Kernels Generate Feature Map
Linear
Classifier
Example Sensor Data Features
ROCKETClassifier [Dempster, 2020]
14. 14
Evaluation
10Tested Motions Dataset Results
(a) Blow Left (b) Blow Front (c) Blow Right
(d) Double Blow Left (e) Long Blow Front (f) Double Blow Right
(g) Flip Book (h)Wave with Paper
(i) Jumping Jack (j) Squat
15. 15
Evaluation
10Tested Motions Dataset Results
Blow Left
Blow Front
Blow Right
Flip Book
Wave with Paper
Double Blow Left
Long Blow Front
Double Blow Right
Jumping Jack
Squat
12 Participants
10 Motions
9 Male, 3 Female
Average Age 22
Right-handed
10 Times 160 Frame
Repeat the Same Motion 3 ToF Sensors
16. 16
Evaluation
10Tested Motions Dataset Results
With all 3 sensors With all 2 side sensors With single middle sensors
91.17%
(SD=4.22)
86.43%
(SD=3.46)
62.61%
(SD=2.12)
Accuracies are reported with 10-fold validation.
19. 19
Limitations
- Unexplored Airflow Properties
- What is a good interaction distance?
- Other Mist/Smoke Type
- Performance of dry ice?
- Alternative Sensor Alignment
- If we add more sensors?
- Qualitative Results
- Will user acknowledge this kind of input?
20. 20
Thank you for your attention
1: Department of Information and Computer Science, Keio University, Japan
2: Guangzhou Institute ofTechnology, Xidian University, China
Tian Min1, Chengshuo Xia1, 2,TakumiYamamoto1 andYuta Sugiura1
Seeing theWind: An Interactive Mist Interface of Airflow Input
Editor's Notes
Hi everyone, I’m glad here to present the work of seeing the wind, together with Dr. Chengshuo Xia, Takumi Yamamoto, and Dr. Yuta Sugiura from Keio University and Guangzhou Institute of Technology, Xidian University.
In this paper, we introduce a human activity recognition method with the variation in airflows.
Airflow, or saying wind is prevalent phenomenon in nature and our surroundings.
We live in the earth atmosphere and the actions we take, could generate airflow by such as blowing, walking, or waving among others.
If we can capture the variation in airflow, it’s possible to do recognition.
So what are the available devices or sensors we have got to measure airflow so far?
We have anemometers, mass flow sensors, or pressure sensors, which are commonly employed in integrated systems and specialized domains.
These techniques use on the principle that the airflow generates pressure on object surfaces, so they’re quite effective to be set in pipes for gas transportation or industrial machines.
However, Although effective, these methods often prove less accessible for interaction purposes.
We came up with an idea of using the mist’s property of blocking the light.
Mist scattering in the air can represent the airflow variations, rendering it detectable by proximity-based sensor. For example, time of flight sensors.
The variation of airflow will affect the shape of mist, and further, affect the sensor readings.
Next, I’m going to give a brief review on the related work on mist-based and airflow interaction.
For the airflow output, they’re mainly designed for the sense augmentation as tactile display or VR enhancement. On the input side, microphones are usually use to capture the wind noise generated by blowing, opening the new input technique known as “blowing gestures”
On the mist-based interaction side, due to the fact that mist can be used as mid-air display, previous research spent lots of efforts in controlling the mist’s shape and optimize the display quality. However, there’s hardly research on detecting airflow variation visually, or using mist as an input method.
So, we get a humidifier, and implement this prototype as shown on the left side.
On the right side, is a demonstration of the sensor data when someone blow into the mist.
You can see the maximum value of y-axis jump to 3000 from 100, that’s when the blow dismiss the mist, and the ToF sensor detect the height of the celling.
Here’s some example of the motions that can affect the sensor data, such as blowing, clapping, waving, closing a book, walking by, opening door, squatting and jumping.
Given that there’s limited reference, we design 3 experiments to explore the factors and principals of mist sensing technique.
First one I’m going to introduce is the impact of mist type. We got 6 types of mist or smoke, as shown on the right side, trying to see if they have different performances of obstruction or refraction on the Infrared laser from the ToF sensor.
The experiment set up is shown on the left side, we put a ToF sensor 15 cm away from a barrier, and place the mist generating source 5 cm away from the ToF sensor. Then, we record the sensor data for a period of time.
Here’s the result, on the left hand side shows the sensor data over 140 frame.
One the right hand side, the number of particles per liter in the environment is recorded, using an air monitor.
Color of the line and bars are correspond to the legend.
We can tell that higher particle concentrations, could result in a higher efficiency of blocking, refracting or absorbing the infrared light from the sensor.
The second experiment is whether we can know the directional information of airflows by setting sensors on different axis.
We set two ToF sensor in the close proximity to the mist nozzle on both sides. The color of sensors are correspond to the curve color below.
As shown in the figure, when airflow disperse the mist from the right side, we observed the peak on green curve first, and then the blue curve, indicating that it’s feasible to detect the airflow direction.
By increasing the number of sensors near the nozzle, it is possible to detect airflow direction in a 360-degree range.
The third experiment is about the airflow intensity.
Different airflow velocities are expected to cause varying dispersion effects on mist.
To further explore this phenomenon, we placed an anemometer close to the sensor and the nozzle to measure the airflow velocity arriving at the mist’s source.
By adjusting the spinning speed and position of the fan, we record the sensor data within 1400 frame with a specific wind speed at the nozzle. When the air is still, the mist can fully cover the sensor throughout the period.
We organized the sensor data into a heat map shown on the right. The color of each grid cell reflects the magnitude of the sensor data. By analyzing the proportions of different colors within each row, we can evaluate the impact of continuous airflow on mist dispersion with velocity changes. Notably, we observed a clear nonlinear relationship between airflow velocity and influence.
When the airflow velocity is below 1 m/s, an increase in airflow velocity cannot effectively influence the mist. However, within the range of 1 m/s to 2 m/s, increasing the airflow velocity become more effective.
Our proof-of-concept prototype is consist of a table-top humidifier, and a 3D-printed bracket for sensor support.
The humidifier is in a cylindrical shape. The nozzle is 20 mm wide. And it can spray mist in front of it with an elevation angle of around 45 degrees.
In order to maintain an appropriate value on the sensors and quickly reset once the disturbance is over, we aim for a place where has stable presence of mist. In this case, it is the area slightly beneath the nozzle.
For the software implementation, our main concern was to think of using an appropriate machine learning method.
Considering the complexity of the airflow patterns, the manually selected features would be challenging and time-consuming. Therefore we find the ROCKET Classifier, an exceptionally fast and accurate time series classification method.
Basic idea of the ROCKET classifier is using random convolutional kernels.
Then, we step into the evaluation stage.
First I’m going to introduce 10 tested motions.
Based on related work on blowing gestures, we extended these motions by variations from different directions with respect to the device.
Additionally, we explored the use of common objects that can generate airflow, resulting in two motions of: Flip Book (From Left) and Wave with Paper (In Front with a half-folded A4 paper).
We also chose two indoor fitness exercises: Jumping Jack and Squat, bringing the total number of motions to 10
For the data collection, we recruit 12 participants, asking each of them to conduct 10 motions 10 times.
For each time, we record 160 frame of data from 3 ToF sensor.
Here comes the result of the within-user accuracy.
For each confusion matrix, on the bottom left there’s a small icon of the top view of the device. Green color indicate the sensor at the corresponding position is activated.
With all three sensors, the classification can reach an accuracy over 90 percent, and this accuracy going down as the number of sensors decrease.
We also tested the different combination of using two sensor, but the result did not change very much compared to using to sides sensor.
We also investigate how much data could achieve a decent result for training. We find using seventy samples per motion can get an accuracy around 90%.
However, when we split one subject out, and looking for the cross-user performance, the result is not satisfying, only have an accuracy of 79.3%, and the variance is quite high.
This could caused by the individual difference when conducting the motions. Considering in practical scenarios, it’s challenging to quantify blowing gestures like the intensity of wind. We did not give strict instruction to participant on how exactly to perform the motions during the experiment. Participant are only ask to conduct the motion at ease.
We also made a supplementary study on the
Most existing blowable interface designs that based on microphone input are concentrate on detecting blowing.
We believe that mid-air gestures, such as waving and clapping, can also generate airflow similar to the tested motions. Considering that the proposed system essentially detects variations in mist shape, it is possible for users to generate airflow with similar characteristics with different motions during the interaction.
Therefore we bring four gestures, namely wave and clap from two direction into the classifier. This bring down the accuracy to 80.28
However, For this prototype based on a humidifier, which usually serves as a stationary desktop device, using a few motions to control the humidifier’s functionality or surrounding IoT devices is sufficient. If there is a need to recognize more complex airflow patterns, richer data features and a larger number of samples would be needed.
Finally, I’m going to point out some limitations of this work, and content that remain unexplored.
First one is the airflow properties of specific motions are not tested. For example, what is the approximate wind speed cause by a human waving hand?
Secondly, the prototype is based on humidifier, and the mist is composed of tiny water drips. The recognition results are based on this specific type of mist. We did not cover the accuracy on other type of mist or smoke in this paper.
Thirdly, the sensor alignment and configurations are not thoroughly. The number of sensor tested is up to 3, and there might be a further improvement on performance if we adding more sensors.
At last, the paper only contain validation on the capability of the prototype, from a quantitative aspect, the level of acceptance or acknowledgement from user is not measured through interviews.
That’s all from my presentation, thank you very much for your attention!