Data Collection is the segment of any type of research study. At the time when researcher need examine answers to the research problem data collection methods is critical for collection relevant information. this slide also depict of decision to be made by the Researcher towards data collection, methods of data collection with merits and demerits respectively.
This is an exclusive presentation on data collection for researchers in National Institutes Labor of Administration & Training (NILAT), Ministry of production, government of Pakistan
Data Collection is the segment of any type of research study. At the time when researcher need examine answers to the research problem data collection methods is critical for collection relevant information. this slide also depict of decision to be made by the Researcher towards data collection, methods of data collection with merits and demerits respectively.
This is an exclusive presentation on data collection for researchers in National Institutes Labor of Administration & Training (NILAT), Ministry of production, government of Pakistan
data collection is just systematic way approach for gather and measure information form variety source for the aim of get complete and accurate of an area that interested
Different Methods of Collection of DataP. Veeresha
Data collection is a term used to describe a process of preparing and collecting data.
Data are the basic inputs to any decision making process in any fields like education, business, industries…. etc
The primary data are those which are collected afresh and for the first time, and thus happen to be original in character. It is real time data and which are collected by the researcher himself.
Secondary data means data that are already available i.e., they refer to the data which have already been collected and analyzed by someone else.
data collection is just systematic way approach for gather and measure information form variety source for the aim of get complete and accurate of an area that interested
Different Methods of Collection of DataP. Veeresha
Data collection is a term used to describe a process of preparing and collecting data.
Data are the basic inputs to any decision making process in any fields like education, business, industries…. etc
The primary data are those which are collected afresh and for the first time, and thus happen to be original in character. It is real time data and which are collected by the researcher himself.
Secondary data means data that are already available i.e., they refer to the data which have already been collected and analyzed by someone else.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
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.
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.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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.
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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/
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
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- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
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Contents
Differences in methods of data collection in quantitative
and qualitative research
Major approaches to information gathering
Collecting data using primary sources
Observation
The interview
The questionnaire
Collecting data using secondary sources
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Differences in the methods of data collection in
quantitative and qualitative research
Data collection can be used in both qualitative and
quantitative research.
Difference is mainly due to the restrictions imposed on
flexibility, structure, sequential order, depth and
freedom
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Major approaches to information gathering
Information
Gathering Data
Primary Data
Primary Sources
Fresh Copy
Secondary Data
Secondary
Sources
Already
Collected
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Collecting Data Using Primary Sources
Several methods can be used to collect primary data
Sometimes the objectives of a study cannot be used
because of constraints
In selecting a method of data collection, the
socioeconomic characteristics of the study population
play an important role
To maintain quality of data, the purpose and relevance
of the study are explained to respondents
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Observation
Used in studies relating to behavioral sciences
Observation is a purposeful, systematic and selective
way of watching and listening
Observation becomes a scientific tool and the method
of data collection
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Participant & Non-Participant Observation
Participant observation
is when we as a
researcher, participate in
the activities
Non-Participant
observation when we as a
researcher, do not get
involved in the activities
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Advantages of Observation Method
Data collected at the time of occurrence of the event
Observation is done in natural surroundings
Sometimes, the respondents may not like to part with
some of the information. Such information can be
obtained by the researcher through observation.
Observation can also be done on those who cannot
articulate.
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Limitations of Observation Method
Observer might wait for longer period.
Training of observers is required.
This is an expensive method.
External observation provides only superficial
indications.
Two observers may observe the same event, but may
draw different inferences.
Difficult to gather information on opinions & intentions.
When individuals or groups become aware that they are
being observed, they may change their behaviour.
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The interview
Commonly used method of collecting information
It involves presentation of oral-verbal talks and reply in
terms of oral-verbal responses.
Researcher have the freedom to decide questions
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Advantages of the interview
It is useful for collecting in-depth information.
Information can be supplemented.
Questions can be explained.
Interviewing has a wider application.
The interview is more appropriate for complex
situations.
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Disadvantages of the interview
Interviewing is time consuming and expensive.
The quality of data depends upon the quality of the
interaction.
The quality of data depends upon the quality of the
interviewer.
The quality of data may vary when many interviewers
are used.
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The questionnaire
Quite popular and particularly used in big enquiries
A questionnaire is a written list of questions.
It is important that the questions are clear and easy to
understand.
Questionnaire developed in an interactive style.
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Ways of administering a questionnaire
The mailed questionnaire
Send the questionnaire to prospective respondents by mail
Collective administration
Best ways of managing a questionnaire is to obtain a captive
audience
Administration in a public place
Public place such as a shopping centre, health centre,
hospital, school or pub
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Disadvantages of a questionnaire
Application is limited.
The response rate is low.
There is a self-selecting bias.
Opportunity to clarify issues is lacking.
The response to a question may be influenced by the
response to other questions.
It is possible to consult others.
A response cannot be supplemented with other
information.
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Collecting data using secondary sources
Secondary data means data that are already available.
Both qualitative and quantitative research studies use
secondary sources as a method of data collection.
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Literature Review Submitted on:
Research Field : Computer Science & Engineering
Research Area : Natural Language Processing (NLP)
Research Topic: Sentiment Analysis On Social Networking Site
In today’s world, sentiment analysis (SA) stands as the prominent research
topic in demand under the Natural Language Processing (NLP).
The fundamental objective of this research topic is to spot out the emotions
and opinions of the users via a text basis.
Sentiment analysis is nontrivial task, many challenges still not addressed and
resolve efficiently. Sentiment analysis highlight the most important challenges
that are faced by sentiment Analysis (SA) are Language-oriented Issues,
Detection of spam and fake reviews, Negation handling, Spam and Fake
Opinions on Social Sites etc.
So, we need to develop the appropriate techniques and advance algorithms
for detecting and filtering out the faked opinions in the collected dataset, build
robust method for negation handling, building language-oriented lexicons and
dictionaries, solve language related issues etc.
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References
Ranjit Kumar, "Research Methodology: A Step by Step
Guide for Beginners", SAGE Publications Ltd., 2011.
C. R. Kothari ,"Research Methodology: Methods and
Trends", New Age International,2004
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H.V.P.M’s
College of Engineering & Technology,
Amravati-444605,
Maharashtra, India.
Thank You !!!