This document is Michael Ellis's transcript from Michigan State University. It shows that he earned a Bachelor of Science degree in Civil Engineering and a concentration in Environmental Engineering in 2010. He maintained a high GPA throughout his undergraduate and graduate studies, earning Dean's List honors multiple semesters. The transcript currently shows Michael enrolled in graduate courses for the Spring 2011 semester in the Environmental Engineering program.
Performance analysis of ic engine using air energizereSAT Journals
Abstract In normal circumstances, due to incomplete combustion, 30% of the fuel remains unburnt and is emitted in the form of black smoke, causing air pollution. Moreover, the carbon originating from incomplete fuel combustions, settles on the spark plug and on the engine piston, thus diminishing the compression capacity of the piston and increasing the friction factor. This rate of carbon deposition increases especially in city driving, as the engine works much of the time at part throttle. Excess carbon decreases the compression ratio of the engine which ultimately robs the engine of its power, due to acute knocking or detonation. The above problem can be reduced to some extent by making use of paramagnetic property of oxygen present in the incoming air i.e. by passing the air through external magnetic field. Keywords: Air Energizer, Magnet, IC engine;
Performance analysis of ic engine using air energizerLaukik Raut
In normal circumstances, due to incomplete combustion, 30% of the fuel remains unburnt and is emitted in the form of black
smoke, causing air pollution. Moreover, the carbon originating from incomplete fuel combustions, settles on the spark plug and
on the engine piston, thus diminishing the compression capacity of the piston and increasing the friction factor. This rate of
carbon deposition increases especially in city driving, as the engine works much of the time at part throttle. Excess carbon
decreases the compression ratio of the engine which ultimately robs the engine of its power, due to acute knocking or detonation.
The above problem can be reduced to some extent by making use of paramagnetic property of oxygen present in the incoming air
i.e. by passing the air through external magnetic field
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
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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.
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.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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.
- 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.
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!
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.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 4
Transcript
1. THIS DOCUMENT IS OFFICIAL ONLY IF OBTAINED DIRECTLY FROM MICHIGAN STATE UNIVERSITY.
PRINTED: 01/17/11
PAGE: 01 OF 01
ISSUED TO STUDENT
ELLIS, MICHAEL JAMES STUDENT ID: A37601442
PREVIOUS/TRANSFER INSTITUTIONS SUMMER SEMESTER 2009 05/18/09 - 07/02/09
FARMINGTON HIGH SCHOOL ATTENDED: 08/02 - 06/06 CE 418 GEOTECHNICAL ENGINEERING 3 4.0
FARMINGTON MI
SUMMER SEMESTER 2009 05/18/09 - 08/20/09
UNDERGRADUATE CREDIT EGR 393 ENGINEERING COOPERATIVE ED 1 P
ADVANCED PLACEMENT CUM CREDITS : 96.0 CUM GPA : 3.8578
MSU SEM CREDITS ACCEPTED: 0.00
--------------------------------------------------
FALL SEMESTER 2009 09/02/09 - 12/18/09
UNDERGRADUATE CREDIT CE 405 DESIGN OF STEEL STRUCTURES 3 4.0
CE 421 ENGINEERING HYDROLOGY 3 4.0
COURSE INFORMATION CE 480 ENVIRONMENTAL MEASUREMENTS LAB 1 3.5
FALL SEMESTER 2006 08/28/06 - 12/15/06 CE 481 ENVIR CHEM: EQUILIBRIUM CONCE 3 4.0
BS 110 ORGANISMS AND POPULATIONS 4 4.0 CE 483 UNIT PROCESS IN ENVIRON ENG 3 4.0
CEM 141 GENERAL CHEMISTRY 4 3.0 FCE 238 PERSONAL FINANCE 3 4.0
ISS 210 SOCIETY AND THE INDIVIDUAL (D) 4 4.0 CUM CREDITS : 112.0 CUM GPA : 3.8738
MTH 132 CALCULUS I 3 4.0 DEAN'S LIST
CUM CREDITS : 15.0 CUM GPA : 3.7333
DEAN'S LIST
SPRING SEMESTER 2010 01/11/10 - 05/07/10
CE 485 LANDFILL DESIGN 3 3.5
SPRING SEMESTER 2007 01/08/07 - 05/04/07 CE 487 MICROB FOR ENVIR SCI & ENG 3 4.0
CE 271 INTRO TO CIVIL ENGINEERING 4 3.0 CE 495 SENIOR DESIGN 3 4.0
CEM 161 CHEMISTRY LABORATORY I 1 4.0 IAH 241C CUL & ARTISTIC TRAD EUROPE 4 4.0
MTH 133 CALCULUS II 4 4.0 PKG 101 PRINCIPLES OF PACKAGING 3 4.0
PHY 183 PHYS SCIENTISTS & ENGINEERS I 4 4.0 CUM CREDITS : 128.0 CUM GPA : 3.8779
WRA 110 WRITING: SCIENCE & TECHNOLOGY 4 4.0 DEAN'S LIST
CUM CREDITS : 32.0 CUM GPA : 3.7500
DEAN'S LIST
BACHELOR OF SCIENCE GRANTED: 05/07/10
MAJOR: CIVIL ENGINEERING
SUMMER SEMESTER 2007 05/15/07 - 06/28/07 COLLEGE: ENGINEERING
IAH 207 LIT, CULTURES, IDENTITIES (I) 4 3.5 WITH HIGH HONOR
FARMINGTON HILLS MI
CUM CREDITS : 36.0 CUM GPA : 3.7222 CONCENTRATION UNDERGRADUATE GRANTED: 05/07/10
ENVIRONMENTAL ENGINEERING
--------------------------------------------------
FALL SEMESTER 2007 08/27/07 - 12/14/07
CE 221 STATICS 3 4.0 GRADUATE CREDIT
CSE 131 TECHNICAL COMP & PROB SOLV 3 3.5
MTH 234 MULTIVARIABLE CALCULUS 4 4.0 COURSE INFORMATION
PHY 184 PHYS SCIENTISTS & ENGINEERS II 4 4.0 FALL SEMESTER 2010 09/01/10 - 12/17/10
CUM CREDITS : 50.0 CUM GPA : 3.7700 ACR 846 LAW ENVIRONMENTAL REGULATION 3 4.0
DEAN'S LIST CE 821 GROUNDWATER HYDRAULICS 3 4.0
ENE 802 PHYSICO CHEM PROC ENVIR EGR 3 4.0
ENE 804 BIOLOGICAL PROC ENVIRONMTL EGR 3 4.0
SPRING SEMESTER 2008 01/07/08 - 05/02/08 CUM CREDITS : 12.0 CUM GPA : 4.0000
CE 280 PRIN ENVIRONMENT ENGIN & SCI 3 4.0
ISS 315 GLOBAL DIVRSTY/INTERDEPEND (I) 4 4.0
ME 222 MECHANICS OF DEFORMABLE SOLIDS 4 4.0 SPRING SEMESTER 2011 01/10/11 - 05/06/11 CURRENTLY ENROLLED
MTH 235 DIFFERENTIAL EQUATIONS 3 4.0 ENE 801 DYNAMICS OF ENVIRON SYSTEMS 3 ***
CUM CREDITS : 64.0 CUM GPA : 3.8203 ENE 806 LAB FEASIBILITY STUD ENVIR REM 3 ***
DEAN'S LIST ENE 880 INDP STDY IN ENVIRON ENGIN 3 ***
CUM CREDITS : N/A CUM GPA : N/A
FALL SEMESTER 2008 08/25/08 - 12/12/08 MAJOR : ENVIRONMENTAL ENGINEERING
CE 312 SOIL MECHANICS 4 4.0 COLLEGE : ENGINEERING
CE 321 INTRODUCTION TO FLUID MECHANIC 4 4.0 -----------------NO ENTRIES BELOW THIS LINE-----------------
CEM 142 GENERAL & INORGANIC CHEMISTRY 3 4.0
ME 201 THERMODYNAMICS 3 4.0
CUM CREDITS : 78.0 CUM GPA : 3.8525
DEAN'S LIST
SPRING SEMESTER 2009 01/12/09 - 05/08/09
CE 305 STRUCT ANALYSIS & DESIGN 4 3.5 PROVIDED SOLELY FOR:
CE 337 CIVIL ENGINEERING MATERIALS I 4 4.0 MICHAEL ELLIS
CHE 201 MATERIAL AND ENERGY BALANCES 3 4.0 ELLISMI4@MSU.EDU
STT 351 PROB & STATISTICS ENGINEERING 3 4.0 25499 Hunt Club Blvd
CUM CREDITS : 92.0 CUM GPA : 3.8532 Farmington Hills, MI 48335
DEAN'S LIST
------------------------END OF COLUMN-----------------------
2. MICHIGAN STATE UNIVERSITY
KEY TO TRANSCRIPT
Office of the Registrar
East Lansing, MI 48824-0210
(517) 355-3300
http://www.reg.msu.edu
The Federal Family Educational Rights and Privacy Act (FERPA) prohibits the release of this record or
disclosure of its contents to any third party without the written consent of the student.
Authentication of the Transcript Current Grading System
A transcript is official when it bears the signature of the THE NUMERICAL SYSTEM: 4.0, 3.5, 3.0, 2.5, 2.0, 1.5,
Registrar and the University seal in black ink, is obtained 1.0, 0.0 – Credit is awarded for the following minimum
directly from the Office of the Registrar at Michigan State levels—1.0 for undergraduate students and 2.0 for
University, and is received by the person for whom it is graduate students.
intended.
THE CREDIT-NO CREDIT SYSTEM: CR-CREDIT-
Course Numbering System Undergraduates must perform at or above the 2.0 level.
001-099 Non-Credit and Institute of Agricultural Graduates must perform at or about the 3.0 level.
Technology Courses NC-NO CREDIT-Performance was below 2.0 level for
100-299 Undergraduate Courses undergraduates and below 3.0 level for graduates.
300-499 Advanced Undergraduate Courses
500-699 Graduate-Professional Courses THE PASS-NO GRADE SYSTEM: P-PASS – Credit was
800-899 Graduate Courses granted and the student achieved a level of performance
900-999 Advanced Graduate Courses judged to be satisfactory by the instructor.
N-NO GRADE – No credit was granted and the student did
Credits not achieve a level of performance judged satisfactory by
Effective Fall 1992 courses at Michigan State University the instructor.
are given on a semester basis. One credit normally
requires three hours of effort a week in class, laboratory, OTHER SYMBOLS USED:
and preparation. To convert to quarter credits, the W-WITHDREW DF-DEFERRED
semester credits should be multiplied by three halves V-VISITOR ET-EXTENSION
(3/2). U-UNFINISHED NGR-NO GRADE REPORTED
Prior to Fall 1992 courses at Michigan State University I-INCOMPLETE CP-CONDITIONAL PASS
were given on a quarter basis.
A transcript may temporarily reflect “LDR” as a grade for
Courses Repeated a course which was dropped late and to which a final grade
A course repeated is indicated by an S (Superseded) in has not yet been assigned.
the column headed SR. The course that repeated a
superseded course is indicated by an R (Repeat) in the SR Past Grading Systems
column. The cumulative totals and the grade-point Prior to Fall 1988: N-NO GRADE indicated the student
average are adjusted to reflect the last grade. officially dropped the course after the middle of the term
and was doing passing work, or there was no basis for a
Honors grade, or the student did not pass a course approved for
An “H” in the Honors column indicates an honors course, grading on a P-N basis.
honors section of a course, or the student took a non- Fall 1968 to Winter 1972: The grades of 4.5 and 0.5 were
honors course as honors. The latter indicates additional included in the numerical system of grading. The 4.5 was
work was completed beyond normal requirements. awarded only for exceptionally high performance.
Prior to Fall 1969: X-Condition – Until removed and a
Grade-Point Averages grade reported, the course was considered to be a
Grade points for each course are determined by deficiency and was included in grade-point averages as a
multiplying the numerical grade by the number of credits grade of 0.0 under the numerical system. The X-Condition
for the course. Credits for courses in which P, I, N, DF, W, had no affect on the grade-point average if enrollment was
ET, CP, CR, NC, U, or V have been received do not affect on the CR-NC system.
the grade-point average.
A grade-point average of 2.00 is required for graduation Past Grade-Point Systems
from the University for a bachelor’s degree; 3.00 for Fall 1968 to Winter 1972: Grades of 4.5 were included in
graduate degrees. computing grade-point averages only up to a point where
The cumulative grade-point average appears after each the term or cumulative grade-point averages reached 4.00.
term. Thus, the term grade-point average and the cumulative
grade-point average were limited to 4.00.
MSU is an affirmative-action, equal-opportunity employer.