Biometric technology is an evolving field and is increasingly becoming more powerful and cost-effective. It is no longer limited to just high security government and banking applications but also making inroads into the education sector. Educational institutions understand the need for security and accuracy in student attendance tracking and hence look for a fast, reliable and cost-effective solution.
How Proctoring Technology Will Shape The Future Of Education: Predicting Its ...Tania Arora
Proctoring, a time-honored practice for overseeing examinations, has long been key in ensuring a fair testing environment. EnFuse is leading the proctoring evolution, offering reliable and secure proctoring services for educational institutions. With customizable options and a focus on candidate experience, they are committed to empowering education through innovative proctoring solutions.
Visit here: https://www.enfuse-solutions.com/
Development of Lecture Attendance System for Staff Performance Rating in a Te...Dr. Amarjeet Singh
Managing time attendance of staff in organizations
has proven to be a challenging endeavor. Manual methods
have been proposed in capturing employees’ attendance but
there are inadequacies in measuring the performance of
employees. This paper aims at promoting staff efficiency at
work by developing a secure attendance management system
for use in tertiary institutions via two subsystems; Fingerprint
biometrics as a method of identification and authentication
and Question-Answering module for staff performance rating.
The system uses staff fingerprints stored in the database upon
registration for carrying out the process of attendance and
validate staff lectures’ requirements. It is accentuated by
creating a question-answering module that allows students to
answer some questions on each available and registered staff,
hence, giving a more concentrated content about staff’s
activities within the school. The evaluation was carried out
based on the matching efficiency and attendance accuracy of
the proposed system. The proposed system performed
excellently with 98.51% attendance accuracy based on the
high successful staff identification recorded. Hence, staff
performance rating was generated, thereby creating an avenue
for determining promotion grounds.
What is the Student Attendance Management System and their Benefits_ _ ProcturNitishGarg71
A student attendance system is a software or hardware-based system designed to track and record the presence or absence of students in educational institutions such as schools, colleges, and universities. Its primary purpose is to monitor and manage student attendance system efficiently.
HOW BENEFICIAL ARE ONLINE EXAMINATIONS ?Eduminatti
Unlock the pros and cons of online examinations in our informative PDF. Discover their impact on education and assessment today!
For more information visit.....https://www.eduminatti.com/
Biometric technology is an evolving field and is increasingly becoming more powerful and cost-effective. It is no longer limited to just high security government and banking applications but also making inroads into the education sector. Educational institutions understand the need for security and accuracy in student attendance tracking and hence look for a fast, reliable and cost-effective solution.
How Proctoring Technology Will Shape The Future Of Education: Predicting Its ...Tania Arora
Proctoring, a time-honored practice for overseeing examinations, has long been key in ensuring a fair testing environment. EnFuse is leading the proctoring evolution, offering reliable and secure proctoring services for educational institutions. With customizable options and a focus on candidate experience, they are committed to empowering education through innovative proctoring solutions.
Visit here: https://www.enfuse-solutions.com/
Development of Lecture Attendance System for Staff Performance Rating in a Te...Dr. Amarjeet Singh
Managing time attendance of staff in organizations
has proven to be a challenging endeavor. Manual methods
have been proposed in capturing employees’ attendance but
there are inadequacies in measuring the performance of
employees. This paper aims at promoting staff efficiency at
work by developing a secure attendance management system
for use in tertiary institutions via two subsystems; Fingerprint
biometrics as a method of identification and authentication
and Question-Answering module for staff performance rating.
The system uses staff fingerprints stored in the database upon
registration for carrying out the process of attendance and
validate staff lectures’ requirements. It is accentuated by
creating a question-answering module that allows students to
answer some questions on each available and registered staff,
hence, giving a more concentrated content about staff’s
activities within the school. The evaluation was carried out
based on the matching efficiency and attendance accuracy of
the proposed system. The proposed system performed
excellently with 98.51% attendance accuracy based on the
high successful staff identification recorded. Hence, staff
performance rating was generated, thereby creating an avenue
for determining promotion grounds.
What is the Student Attendance Management System and their Benefits_ _ ProcturNitishGarg71
A student attendance system is a software or hardware-based system designed to track and record the presence or absence of students in educational institutions such as schools, colleges, and universities. Its primary purpose is to monitor and manage student attendance system efficiently.
HOW BENEFICIAL ARE ONLINE EXAMINATIONS ?Eduminatti
Unlock the pros and cons of online examinations in our informative PDF. Discover their impact on education and assessment today!
For more information visit.....https://www.eduminatti.com/
This documentation provides a brief insight of face recognition based attendance system using neural networks in terms of product architecture which can be used for educational purpose.
6 Top Emerging Technology Trends in Higher EducationKavika Roy
Here, we discuss some of the most promising emerging EdTech trends in higher education and explore how will technology change education in the future. We also explore how emerging technology trends can improve education and what is the best way to get started if you are an educator or education stakeholder.
Revolutionizing Student Health Record Management Software for a Brighter FutureEduHealth1
In the ever-evolving landscape of education, the efficient management of student health records is an indispensable part of ensuring a safe and thriving learning environment. To pave the way for a brighter future, it's imperative to revolutionize the way we handle student health records. In this article, we'll delve into the transformation of student health record management software, emphasizing the significance of this shift.
9/17/2020 Originality Report
https://ucumberlands.blackboard.com/webapps/mdb-sa-BB5a31b16bb2c48/originalityReport/ultra?attemptId=5bb8832d-bffd-40d3-80df-010d02a4d74… 1/5
%25
%16
%3
SafeAssign Originality Report
Fall 2020 - Organ Leader & Decision Making (ITS-630-A08) - First Bi-T… • Week 2 Written Assignment
%44Total Score: High riskPraneeth Pentela
Submission UUID: 7567c97b-2f11-db04-8404-2b438ba2278e
Total Number of Reports
1
Highest Match
44 %
Week 02_Technology Acceptance Model.…
Average Match
44 %
Submitted on
09/06/20
10:42 PM CDT
Average Word Count
1,434
Highest: Week 02_Technology Acceptanc…
%44Attachment 1
Institutional database (6)
Student paper Student paper Student paper
Student paper Student paper Student paper
Internet (6)
foi centar-fm springer
marlenemourreau springer boisestate
Global database (1)
Student paper
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View Originality Report - Old Design
Word Count: 1,434
Week 02_Technology Acceptance Model.docx
6 1 8
4 3 7
5 9 11
2 12 13
10
6 Student paper 5 foi 9 centar-fm
Running head: TECHNOLOGY ACCEPTANCE MODEL 1
TECHNOLOGY ACCEPTANCE MODEL 7
Technology Acceptance Model Praneeth Pentela
ITS 630-A08 Organ Leader & Decision Making
Dr. Joanna Patterson
TECHNOLOGY ACCEPTANCE MODEL
Introduction
IT acceptance has over the last few years received considerable attention. Various theoretical models have been proposed to explain the end-users’ acceptance
behavior (Al-Emran, Mezhuyev, & Kamaludin, 2018). Among the various theoretical models, TAM that was proposed by Davis is typically applied and empirically
tested. Technology acceptance model (TAM) The technology acceptance model is an information system theory that is used in modeling how users normally accept
technology use. This is a model that is considered to be one of the most influential and commonly used theories. It is therefore very critical in describing the
importance of technological innovations in e-commerce. The practical system use is the ultimate conclusion that users want people to be willing to do something
regarding technology, and also need to establish behavioral intention which may e a factor that would encourage people to use the innovation. The behavioral
intention is said to be affected by the attitude (A) of the general understanding of the technology (Nugroho, Bakar, & Ali, 2017). Many studies have been conducted
globally to investigate TAM’s relevance in understanding e-learning acceptance among the students. In many regions, e-learning is adopted for its assumed potential
1
2
3
2
https://ucumberlands.blackboard.com/webapps/mdb-sa-BB5a31b16bb2c48/originalityReport?attemptId=5bb8832d-bffd-40d3-80df-010d02a4d749&course_id=_135115_1&download=true&includeDeleted=true&print=true&force=true
9/17/2020 Originality Report
https://ucumberlands.blackboard.com/webapps/mdb-sa-BB5a31b16bb2c48/originalityReport/ultra?attemptId=5bb8832d-bffd-40d3-80df-010d02a4d74… 2/5
of facilitati.
Transforming Educational Institutions with Attendance Management Systems.pdfmayank jain
When we delve deeper into the impact of technology on the education sector, certain areas have been particularly targeted for improvement. Notably, schools and colleges are increasingly focusing on integrating advanced school management software solutions. For years, teachers in educational institutions have traditionally taken student attendance manually, a practice that persists even in today's digital age. However, as the world moves towards online and virtual learning systems, it's become evident that there is a need for a more streamlined and efficient method of managing student attendance.
Face recognition attendance system using Local Binary Pattern (LBP)journalBEEI
Attendance is important for university students. However, generic way of taking attendance in universities may include various problems. Hence, a face recognition system for attendance taking is one way to combat the problem. This paper will present an automated system that will automatically saves student’s attendance into the database using face recognition method. The paper will elaborate on student attendance system, image processing, face detection and face recognition. The face detection part will be done by using viola-jones algorithm method while the face recognition part will be carried on by using local binary pattern (LBP) method. The system will ensure that the attendance taking process will be faster and more accurate.
A Multimedia Data Mining Framework for Monitoring E-Examination Environmentijma
Academic dishonesty has been a growing concern in e-learning environment due to the fact that eexamination takes place under supervised and unsupervised learning environment despite its huge advantages. The e-examination environment has faced various security breaches such as academic dishonesty (impersonation), identity theft, unauthorised access and illegal assistance as a result of inefficient measures employed. Hence, an efficient framework which will aid the monitoring of the eexamination is needed. This paper reviews the process of mining multimedia data and propose a framework for monitoring the e-examination environment in order to extract images and audio features. The framework has four major phases: data pre-processing, mining, association and post processing. The
pre-processing phases carries out the extraction and transformation of multimedia data features, the mining phase does the classification and clustering of these features, the association does pattern matching while the post processing carries out the knowledge interpretation and reporting. The approach presented in this study will allow for efficient and accurate monitoring of e-examination environment which will help provide adequate security and reduce unethical behaviour in e-examination environment.
5 Important Higher Education Recruitment Trends To Boost Enrolment | Future E...Future Education Magazine
Here are 5 Higher Education Recruitment Trends to Boost Enrolment: 1. Get familiar with the methodology 2. The importance of computerization 3. Developing new methods 4. Incentivize the completion of chores 5. Cut down on the response time.
Exploring the impact of #Biometrics in border control: Enhanced security and efficiency with #FacialRecognition and analytics. Safer borders, faster processing.
https://bahaaabdulhadi.com/biometric-analytics-for-border-control/
#BorderSecurity #TechInnovation #ContactlessVerification
More Related Content
Similar to The use of biometrics in the education sector_ Opportunities and challenges.pdf
This documentation provides a brief insight of face recognition based attendance system using neural networks in terms of product architecture which can be used for educational purpose.
6 Top Emerging Technology Trends in Higher EducationKavika Roy
Here, we discuss some of the most promising emerging EdTech trends in higher education and explore how will technology change education in the future. We also explore how emerging technology trends can improve education and what is the best way to get started if you are an educator or education stakeholder.
Revolutionizing Student Health Record Management Software for a Brighter FutureEduHealth1
In the ever-evolving landscape of education, the efficient management of student health records is an indispensable part of ensuring a safe and thriving learning environment. To pave the way for a brighter future, it's imperative to revolutionize the way we handle student health records. In this article, we'll delve into the transformation of student health record management software, emphasizing the significance of this shift.
9/17/2020 Originality Report
https://ucumberlands.blackboard.com/webapps/mdb-sa-BB5a31b16bb2c48/originalityReport/ultra?attemptId=5bb8832d-bffd-40d3-80df-010d02a4d74… 1/5
%25
%16
%3
SafeAssign Originality Report
Fall 2020 - Organ Leader & Decision Making (ITS-630-A08) - First Bi-T… • Week 2 Written Assignment
%44Total Score: High riskPraneeth Pentela
Submission UUID: 7567c97b-2f11-db04-8404-2b438ba2278e
Total Number of Reports
1
Highest Match
44 %
Week 02_Technology Acceptance Model.…
Average Match
44 %
Submitted on
09/06/20
10:42 PM CDT
Average Word Count
1,434
Highest: Week 02_Technology Acceptanc…
%44Attachment 1
Institutional database (6)
Student paper Student paper Student paper
Student paper Student paper Student paper
Internet (6)
foi centar-fm springer
marlenemourreau springer boisestate
Global database (1)
Student paper
Top sources (3)
Excluded sources (0)
View Originality Report - Old Design
Word Count: 1,434
Week 02_Technology Acceptance Model.docx
6 1 8
4 3 7
5 9 11
2 12 13
10
6 Student paper 5 foi 9 centar-fm
Running head: TECHNOLOGY ACCEPTANCE MODEL 1
TECHNOLOGY ACCEPTANCE MODEL 7
Technology Acceptance Model Praneeth Pentela
ITS 630-A08 Organ Leader & Decision Making
Dr. Joanna Patterson
TECHNOLOGY ACCEPTANCE MODEL
Introduction
IT acceptance has over the last few years received considerable attention. Various theoretical models have been proposed to explain the end-users’ acceptance
behavior (Al-Emran, Mezhuyev, & Kamaludin, 2018). Among the various theoretical models, TAM that was proposed by Davis is typically applied and empirically
tested. Technology acceptance model (TAM) The technology acceptance model is an information system theory that is used in modeling how users normally accept
technology use. This is a model that is considered to be one of the most influential and commonly used theories. It is therefore very critical in describing the
importance of technological innovations in e-commerce. The practical system use is the ultimate conclusion that users want people to be willing to do something
regarding technology, and also need to establish behavioral intention which may e a factor that would encourage people to use the innovation. The behavioral
intention is said to be affected by the attitude (A) of the general understanding of the technology (Nugroho, Bakar, & Ali, 2017). Many studies have been conducted
globally to investigate TAM’s relevance in understanding e-learning acceptance among the students. In many regions, e-learning is adopted for its assumed potential
1
2
3
2
https://ucumberlands.blackboard.com/webapps/mdb-sa-BB5a31b16bb2c48/originalityReport?attemptId=5bb8832d-bffd-40d3-80df-010d02a4d749&course_id=_135115_1&download=true&includeDeleted=true&print=true&force=true
9/17/2020 Originality Report
https://ucumberlands.blackboard.com/webapps/mdb-sa-BB5a31b16bb2c48/originalityReport/ultra?attemptId=5bb8832d-bffd-40d3-80df-010d02a4d74… 2/5
of facilitati.
Transforming Educational Institutions with Attendance Management Systems.pdfmayank jain
When we delve deeper into the impact of technology on the education sector, certain areas have been particularly targeted for improvement. Notably, schools and colleges are increasingly focusing on integrating advanced school management software solutions. For years, teachers in educational institutions have traditionally taken student attendance manually, a practice that persists even in today's digital age. However, as the world moves towards online and virtual learning systems, it's become evident that there is a need for a more streamlined and efficient method of managing student attendance.
Face recognition attendance system using Local Binary Pattern (LBP)journalBEEI
Attendance is important for university students. However, generic way of taking attendance in universities may include various problems. Hence, a face recognition system for attendance taking is one way to combat the problem. This paper will present an automated system that will automatically saves student’s attendance into the database using face recognition method. The paper will elaborate on student attendance system, image processing, face detection and face recognition. The face detection part will be done by using viola-jones algorithm method while the face recognition part will be carried on by using local binary pattern (LBP) method. The system will ensure that the attendance taking process will be faster and more accurate.
A Multimedia Data Mining Framework for Monitoring E-Examination Environmentijma
Academic dishonesty has been a growing concern in e-learning environment due to the fact that eexamination takes place under supervised and unsupervised learning environment despite its huge advantages. The e-examination environment has faced various security breaches such as academic dishonesty (impersonation), identity theft, unauthorised access and illegal assistance as a result of inefficient measures employed. Hence, an efficient framework which will aid the monitoring of the eexamination is needed. This paper reviews the process of mining multimedia data and propose a framework for monitoring the e-examination environment in order to extract images and audio features. The framework has four major phases: data pre-processing, mining, association and post processing. The
pre-processing phases carries out the extraction and transformation of multimedia data features, the mining phase does the classification and clustering of these features, the association does pattern matching while the post processing carries out the knowledge interpretation and reporting. The approach presented in this study will allow for efficient and accurate monitoring of e-examination environment which will help provide adequate security and reduce unethical behaviour in e-examination environment.
5 Important Higher Education Recruitment Trends To Boost Enrolment | Future E...Future Education Magazine
Here are 5 Higher Education Recruitment Trends to Boost Enrolment: 1. Get familiar with the methodology 2. The importance of computerization 3. Developing new methods 4. Incentivize the completion of chores 5. Cut down on the response time.
Similar to The use of biometrics in the education sector_ Opportunities and challenges.pdf (20)
Exploring the impact of #Biometrics in border control: Enhanced security and efficiency with #FacialRecognition and analytics. Safer borders, faster processing.
https://bahaaabdulhadi.com/biometric-analytics-for-border-control/
#BorderSecurity #TechInnovation #ContactlessVerification
Exploring the fusion of #AI and #BiometricAnalytics for secure digital identity verification. A game-changing blend for #DigitalSecurity and #Privacy in our interconnected world.
https://bahaaabdulhadi.com/integration-of-ai-biometric-analytics/
#TechInnovation #CyberSecurity
Exploring the balance between #BiometricAnalytics advancement and patient privacy in healthcare. Crucial for better care, yet vital to protect data.
https://bahaaabdulhadi.com/biometric-analytics-in-healthcare/
#HealthTech #PatientPrivacy #HealthcareInnovation
Explore the ethical frontier of biometric data in our latest blog. Balancing innovation with ethics in technology.
https://bahaaabdulhadi.com/implications-of-biometric-data-analysis/
#Biometrics #DataEthics #TechResponsibility #BahaaAbdulHadiBlogs
Impact of Biometric Analytics in BSFI VerticalBahaa Abdulhadi
Explore the future of banking with #BiometricTechnology! Discover how it enhances security, streamlines services, and revolutionizes customer experience.
https://bahaaabdulhadi.com/biometric-analytics-in-bsfi-vertical/
#BankingInnovation #SecureBanking #BahaaAbdulHadi
Explore how #BiometricAnalytics revolutionizes workplace security! Learn about its benefits, applications, and challenges in our latest blog.
https://bahaaabdulhadi.com/biometric-analytics-workplace-security/
#WorkplaceSecurity #TechInnovation #DataProtection #BahaaAbdulHadiBlog
Explore the future of authentication with Biometric Analytics! Secure, convenient, but mindful of privacy.
https://bahaaabdulhadi.com/biometric-analytics-next-gen-auth/
#Biometrics #CyberSecurity #DigitalAge #UserFriendly #PrivacyFirst #FutureOfAuthentication #BahaaAbdulHadi
Dive into the future of security with Biometric Analytics! Discover its impact on access control, identity verification & surveillance.
https://bahaaabdulhadi.com/biometric-analytics-future-of-security/
#BiometricSecurity #FutureTech #PrivacyMatters #DigitalTransformation #BahaaAbdulHadi
Neural biometrics: A game-changer in user identification with unparalleled potential and challenges ahead. Dive into insights from Bahaa Abdul Hadi.
https://bahaaabdulhadi.com/is-neural-biometrics-fool-proof/
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Exploring the transformative potential of neural biometrics in healthcare: from personalized treatments to ethical concerns. Dive deeper with insights from Bahaa Abdul Hadi.
https://bahaaabdulhadi.com/neural-biometrics-for-healthcare/
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https://bahaaabdulhadi.com/the-science-behind-electroencephalogram/
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Exploring the future of identification with #NeuralBiometrics. Offering unmatched security through unique brainwaves. Dive deeper with Bahaa Abdul Hadi's insights.
https://bahaaabdulhadi.com/neural-biometrics-new-chapter/
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Exploring the future of #BiometricPatterns! Dive into emerging trends, challenges, and the balance between innovation and ethics.
https://bahaaabdulhadi.com/the-future-of-biometric-patterns/
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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.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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/
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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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!
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.
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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
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.
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.
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.
Neuro-symbolic is not enough, we need neuro-*semantic*
The use of biometrics in the education sector_ Opportunities and challenges.pdf
1. The use of biometrics in the education sector:
Opportunities and challenges
The traditional education system is undergoing a sea change by
adopting new technology like using biometric data. Educators can
make changes according to the data to enhance the learning
experience for students.
For a school’s administrative department, biometrics identification
can be a much quicker, improved, and cost-effective method to
accurately manage attendance and student records. It helps to
offer a safe environment for students, teachers, and other staff
with a safe environment shared Bahaa Abdul Hadi.
Opportunities of Biometrics in the Education Sector
There are various practical applications where biometrics can
help in educational institutions. Some of the popular ways are:
Taking Attendance
When biometrics is used for taking attendance, it is going to be
100% error-free. Teachers have accurate information about the
students present in the class. They also save a good amount of
their teaching time.
As there is no deceiving the biometric identification machine,
students cannot make themselves mark as present without
actually being physically present. This helps to make them
disciplined and sincere.
Providing Safety
2. By using fingerprint scanners, school administration can ensure
that there are no outsiders on the institution’s premises. Even in a
heavily populated zone like the school canteen, the use of
biometrics guarantees that only teachers, students, and required
staffs are present there.
Maintaining Academic Integrity
Biometric identification is helpful for online education in the
verification of the learners’ identities. The webcam helps in facial
recognition and checking that there is no cheating during online
tests. The use of facial recognition is user-friendly verification and
checking method done in real-time.
Biometric identification stores the identity of a student and teacher
can use this information multiple times during an online
assessment. This helps to certain that the same student is giving
the whole exam from their location
Studying Student Engagement and Behavior
Biometrics can be very helpful for judging student engagement
and detecting behavioral issues. Devices like infrared and
surveillance cameras are especially useful for doing so. They
record a student’s behavior like body language, eye contact, or
how they are interacting with other classmates. This helps to
understand how they are reacting to classroom materials and
teaching. Teachers understand when a student is getting
distracted or needs help.
Challenges of the Biometrics in Student Education
The two major challenges of biometrics are cost and
infrastructure. Setting up the biometrics attendance system can
3. be expensive. Staffs also need to dedicate time and effort to
learning how to operate a system with such advanced technology.
Apt infrastructure should be present for installing smart software
and biometric readers at entrances.
There are also ethical concerns about the collection of data.
There are debates saying the use of biometrics gives rise to
safety concerns as sensitive and personal information is being
shared and stored. This is a challenge to students’ safety. There
are both educators and parents who think facial recognition is
invasive and can be used for unnecessary surveillance.
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