This document discusses observation studies as a method for data collection. It describes observation as watching or walking through actual processes to study them. There are two main types of observation: nonbehavioral which includes record, physical condition, and process analyses; and behavioral which analyzes nonverbal, linguistic, extralinguistic, and spatial behaviors. Advantages include collecting original data in real-time and capturing whole events, while limitations are that observers must be present during events and it is difficult to observe past events or rationales for actions. The relationship between observer and subject can vary, and systematic observation employs standardized procedures. Key aspects of conducting observations include determining who and what to observe, when, how, and where.
valuation is a methodological area that is closely related to, but distinguishable from more traditional social research. Evaluation utilizes many of the same methodologies used in traditional social research, but because evaluation takes place within a political and organizational context, it requires group skills, management ability, political dexterity, sensitivity to multiple stakeholders and other skills that social research in general does not rely on as much.
valuation is a methodological area that is closely related to, but distinguishable from more traditional social research. Evaluation utilizes many of the same methodologies used in traditional social research, but because evaluation takes place within a political and organizational context, it requires group skills, management ability, political dexterity, sensitivity to multiple stakeholders and other skills that social research in general does not rely on as much.
Focus Group Discussions (FGDs) are defined as semi structured group discussions, which yield qualitative data on the community level by facilitating interaction between participants.
Theories of PSYCHOLINGUISTICS, Language acquisition, Noam Chomsky, Jean Piaget, F. B. Skinner, Innateness theory, Behaviorist theory, Cognitive theory.
Focus Group Discussions (FGDs) are defined as semi structured group discussions, which yield qualitative data on the community level by facilitating interaction between participants.
Theories of PSYCHOLINGUISTICS, Language acquisition, Noam Chomsky, Jean Piaget, F. B. Skinner, Innateness theory, Behaviorist theory, Cognitive theory.
Presentation about authenticity which describes how to choose authentic material and differentiate the material . Presentation about authenticity which describes how to choose authentic material and differentiate the material Presentation about authenticity which describes how to choose authentic material and differentiate the material
Observation is the systematic description of the events, behaviors, and artifacts of a social setting. Characterize all researches: experimental, descriptive, and qualitative.
Observation is one of the important and basic methods or techniques or tools for collecting data in almost all types of research studies.(experimental or laboratory research, descriptive research or qualitative research.)
Observation as a research tool is used in understanding, measuring, prediction and modification of human behavior.
The observer can opt for either participant or non participant observation. This technique can be used to observe the behavior or attitude of the individual or a group. The observer has to plan carefully and execute the plans to collect accurate information. The observation could be supported with interaction.
This method gives an opportunity to know the insights of the group and naturally, the observer will be able to get the factual data compared to other methods of data collection.
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.
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.
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.
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.
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/
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.
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.
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.
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.
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.
2. OBSERVING
Observation is a method of data
gathering in which a qualified person
watches, or walks through, the actual
processing associated with a system
Best for studying processes, e.g.
manufacturing
Useful for studying the work flow through
an office for example
Could be active or passive
3. Observation
Nonbehavioral observation
Record analysis:
Analysis of historical or current records and public or
private records.
Physical condition analysis
Audits of merchandise availability, studies of plant safety
compliance, etc.
Process or activity analysis
Time/motion studies, financial flows in a banking system,
paper flow in office systems, etc.
4. Observation
Behavioral observation
Nonverbal analysis
E.g., Monitoring eye movement in user-interface studies.
Linguistic analysis
E.g., study of a sales presentation’s content or the study
of what, how, and how much information is conveyed in
a training situation.
Extralinguistic analysis
E.g., study of the linguistic content of the interaction
between supervisors and subordinates.
Spatial analysis
E.g., a study of how salespeople physically approach
customers.
5. Advantages of the
Observational Method
Collect the original data at the time it
occurs
Secure information that participants
would ignore because it’s so common it
is not seen as relevant
Only method available to collect certain
types of data
6. Advantages of the
Observational Method (cont.)
Capture the whole event as it occurs in
its natural environment
Subjects seem to accept an
observational intrusion better than they
respond to questioning
7. Limitations of the
Observational Method
Observer or recording equipment must
be at the scene of the event when it
takes place
Slow process
Expensive process
Most reliable results are restricted to
information that can be learned by
overt action or surface indicators
8. Limitations of the
Observational Method (cont.)
Research environment is more likely
suited to subjective assessment and
recording of data than to quantification
of events
Limited as a way to learn about the
past
Cannot observe rationale for actions,
only actions themselves
9. Relationship between
Observer and Subject
Direct or indirect observation
Observer’s presence known or unknown
to the subject
Observer is involved or not involved
with the respondent
10. Observation Methods: The
Observer-Subject Relationship
Direct observation
Observer is physically present to monitor
Indirect observation
Observations are recorded (audio, video or other)
Concealment
Observes use concealment to shield themselves
from the object of their observation.
Participant
Observer is involved in the activity being observed
11. The Type of Observational
Study
Simple Observation
Exploratory, found in most studies, goal of
discovery.
Systematic Observation
Employs standardized procedures, trained
observers, schedules for recording, and
other devices for the observer that mirror
the scientific procedures for other primary
data collection methods.
12. Guidelines for Selecting
Observers
Ability to concentrate in a setting full of
distractions
Ability to remember details of an
experience
Ability to be unobtrusive in the
observational situation
Ability to extract the most from an
observational study
13. Conducting the Study:
Observation Data Collection
Who?
What qualifies a subject to be observed?
What?
Event Sampling
Observer records selected behavior that answers the
investigative question
Time Sampling
Observer may record data at fixed points in time for a
specified length, at specified intervals, or continuously.
14. Observation Data Collection
(cont’d)
When?
Is the time of the study important, or can any
time be used?
How?
Will the data be directly observed? If there sis
more than one observer, how will the task be
divided? How will the results be recorded for later
analysis?
Where
Within spatial confine, where does the act take
place?