This is the ppt version of my method for determining the projected delays due to rain on a construction project on the US Gulf Coast. It is fully annotated (voice over descriptions) formatted for PowerPoint prior to 2010.
Presentation for the R User group meetup on 20/10/19.
Link to the Kaggle kernel: https://www.kaggle.com/kbhargava/eda-and-time-series-clustering-for-gas-prices
By EKALYSIS energy analysis is very easy. EVL-3 stores energy data on SD Card and disk capture save it to computer or laptop.
EKalysis helps to analyse this data by presenting it in Tabular and graphical format.
It also shows events information.
Reports are generated for every date you selected.
You can also save all Tabular data in csv and graph data in image file.
It is useful for analyzing energy of plant,industry, home.
It is also used for testing of load and power of various machines.
UPS,Servo Stabilizer, inverter, heavy machines are also some example which power can be tested by this software.
It is not only energy or power logger, its the step to know energy.
Presentation for the R User group meetup on 20/10/19.
Link to the Kaggle kernel: https://www.kaggle.com/kbhargava/eda-and-time-series-clustering-for-gas-prices
By EKALYSIS energy analysis is very easy. EVL-3 stores energy data on SD Card and disk capture save it to computer or laptop.
EKalysis helps to analyse this data by presenting it in Tabular and graphical format.
It also shows events information.
Reports are generated for every date you selected.
You can also save all Tabular data in csv and graph data in image file.
It is useful for analyzing energy of plant,industry, home.
It is also used for testing of load and power of various machines.
UPS,Servo Stabilizer, inverter, heavy machines are also some example which power can be tested by this software.
It is not only energy or power logger, its the step to know energy.
Schiling Chapter Seven : NPV and IRR
The two most commonly used forms of discounted cash flow analy- sis for evaluating investment decisions are net present value (NPV) and internal rate of return (IRR).
Air cargo forecasting for major airports in the world for 2014, about eight airports are study and accuracy forecasting matrix is developed, the study explore a fair results, based on the input of data, the forecast is developed, some of them are good and others are not, and depends on the analyses’ decision.
1
CMIS 102 Hands-On Lab
Week 8
Overview
This hands-on lab allows you to follow and experiment with the critical steps of developing a program
including the program description, analysis, test plan, and implementation with C code. The example
provided uses sequential, repetition, selection statements, functions, strings and arrays.
Program Description
This program will input and store meteorological data into an array. The program will prompt the user to
enter the average monthly rainfall for a specific region and then use a loop to cycle through the array
and print out each value. The program should store up 5 years of meteorological data. Data is collected
once per month. The program should provide the option to the user of not entering any data.
Analysis
I will use sequential, selection, and repetition programming statements and an array to store data.
I will define a 2-D array of Float number: Raindata[][] to store the Float values input by the user. To store
up to 5 years of monthly data, the array size should be at least 5*12 = 60 elements. In a 2D array this will
be RainData[5][12]. We can use #defines to set the number of years and months to eliminate hard-
coding values.
A float number (rain) will also be needed to input the individual rain data.
A nested for loop can be used to iterate through the array to enter Raindata. A nested for loop can also
be used to print the data in the array.
A array of strings can be used to store year and month names. This will allow a tabular display with
labels for the printout.
Functions will be used to separate functionality into smaller work units. Functions for displaying the data
and inputting the data will be used.
A selection statement will be used to determine if data should be entered.
Test Plan
To verify this program is working properly the input values could be used for testing:
Test Case Input Expected Output
1 Enter data? = y
1.2
2.2
3.3
2.2
10.2
12.2
2.3
0.4
0.2
1.1
2.1
year month rain
2011 Jan 1.20
2011 Feb 2.20
2011 Mar 3.30
2011 Apr 2.20
2011 May 10.20
2011 Jun 12.20
2011 Jul 2.30
2011 Aug 0.40
2011 Sep 0.20
2011 Oct 1.10
2011 Nov 2.10
2011 Dec 0.40
2
0.4
1.1
2.2
3.3
2.2
10.2
12.2
2.3
0.4
0.2
1.1
2.1
0.4
1.1
2.2
3.3
2.2
10.2
12.2
2.3
0.4
0.2
1.1
2.1
0.4
1.1
2.2
3.3
2.2
10.2
12.2
2.3
0.4
0.2
1.1
2.1
0.4
1.1
2.2
3.3
2.2
10.2
12.2
2.3
0.4
0.2
1.1
2.1
0.4
2012 Jan 1.10
2012 Feb 2.20
2012 Mar 3.30
2012 Apr 2.20
2012 May 10.20
2012 Jun 12.20
2012 Jul 2.30
2012 Aug 0.40
2012 Sep 0.20
2012 Oct 1.10
2012 Nov 2.10
2012 Dec 0.40
2013 Jan 1.10
2013 Feb 2.20
2013 Mar 3.30
2013 Apr 2.20
2013 May 10.20
2013 Jun 12.20
2013 Jul 2.30
2013 Aug 0.40
2013 Sep 0 ...
This chapter deals with Load forecasting of different power system parts which includes the generation, transmission and distribution systems. This slide is specifically prepared for ASTU 5th year power and control engineering students.
Statistical analysis software article - jan 2016Kyma AS
Kyma Project and Marine Engineer Carlos Gonzales have written an article in the January issue 2016 of The Naval Architect reagarding Statistical Analysis software & speed loss evaluation.
Statistical analysis software article - jan 2016Peter Elvingdal
Kyma Project and Marine Engineer Carlos Gonzales have written an article in the January issue 2016 of The Naval Architect reagarding Statistical Analysis software & speed loss evaluation.
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/
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.
Schiling Chapter Seven : NPV and IRR
The two most commonly used forms of discounted cash flow analy- sis for evaluating investment decisions are net present value (NPV) and internal rate of return (IRR).
Air cargo forecasting for major airports in the world for 2014, about eight airports are study and accuracy forecasting matrix is developed, the study explore a fair results, based on the input of data, the forecast is developed, some of them are good and others are not, and depends on the analyses’ decision.
1
CMIS 102 Hands-On Lab
Week 8
Overview
This hands-on lab allows you to follow and experiment with the critical steps of developing a program
including the program description, analysis, test plan, and implementation with C code. The example
provided uses sequential, repetition, selection statements, functions, strings and arrays.
Program Description
This program will input and store meteorological data into an array. The program will prompt the user to
enter the average monthly rainfall for a specific region and then use a loop to cycle through the array
and print out each value. The program should store up 5 years of meteorological data. Data is collected
once per month. The program should provide the option to the user of not entering any data.
Analysis
I will use sequential, selection, and repetition programming statements and an array to store data.
I will define a 2-D array of Float number: Raindata[][] to store the Float values input by the user. To store
up to 5 years of monthly data, the array size should be at least 5*12 = 60 elements. In a 2D array this will
be RainData[5][12]. We can use #defines to set the number of years and months to eliminate hard-
coding values.
A float number (rain) will also be needed to input the individual rain data.
A nested for loop can be used to iterate through the array to enter Raindata. A nested for loop can also
be used to print the data in the array.
A array of strings can be used to store year and month names. This will allow a tabular display with
labels for the printout.
Functions will be used to separate functionality into smaller work units. Functions for displaying the data
and inputting the data will be used.
A selection statement will be used to determine if data should be entered.
Test Plan
To verify this program is working properly the input values could be used for testing:
Test Case Input Expected Output
1 Enter data? = y
1.2
2.2
3.3
2.2
10.2
12.2
2.3
0.4
0.2
1.1
2.1
year month rain
2011 Jan 1.20
2011 Feb 2.20
2011 Mar 3.30
2011 Apr 2.20
2011 May 10.20
2011 Jun 12.20
2011 Jul 2.30
2011 Aug 0.40
2011 Sep 0.20
2011 Oct 1.10
2011 Nov 2.10
2011 Dec 0.40
2
0.4
1.1
2.2
3.3
2.2
10.2
12.2
2.3
0.4
0.2
1.1
2.1
0.4
1.1
2.2
3.3
2.2
10.2
12.2
2.3
0.4
0.2
1.1
2.1
0.4
1.1
2.2
3.3
2.2
10.2
12.2
2.3
0.4
0.2
1.1
2.1
0.4
1.1
2.2
3.3
2.2
10.2
12.2
2.3
0.4
0.2
1.1
2.1
0.4
2012 Jan 1.10
2012 Feb 2.20
2012 Mar 3.30
2012 Apr 2.20
2012 May 10.20
2012 Jun 12.20
2012 Jul 2.30
2012 Aug 0.40
2012 Sep 0.20
2012 Oct 1.10
2012 Nov 2.10
2012 Dec 0.40
2013 Jan 1.10
2013 Feb 2.20
2013 Mar 3.30
2013 Apr 2.20
2013 May 10.20
2013 Jun 12.20
2013 Jul 2.30
2013 Aug 0.40
2013 Sep 0 ...
This chapter deals with Load forecasting of different power system parts which includes the generation, transmission and distribution systems. This slide is specifically prepared for ASTU 5th year power and control engineering students.
Statistical analysis software article - jan 2016Kyma AS
Kyma Project and Marine Engineer Carlos Gonzales have written an article in the January issue 2016 of The Naval Architect reagarding Statistical Analysis software & speed loss evaluation.
Statistical analysis software article - jan 2016Peter Elvingdal
Kyma Project and Marine Engineer Carlos Gonzales have written an article in the January issue 2016 of The Naval Architect reagarding Statistical Analysis software & speed loss evaluation.
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/
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.
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/
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.
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.
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.
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.
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:
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.
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!