Recent College of Performance Management Webinar on using Technical Performance to inform Earned Value Management. Six steps to building a credible Performance Measurement Baseline to connect the dots between all the elements of the program
Working Toward an Enhanced and Integrated Performance-Based Regulatory Regime...Dr. Monideep Dey
The aim of this presentation is firstly to present current practices for fire safety worldwide. Then I will discuss developments and the status of performance-based fire safety design, specifically the enhancements that are needed for performance-based fire safety design. I will also discuss the need for integration of prescriptive fire performance standards with performance-based design. The ultimate goal is to improve quality of fire safety programs and thus fire safety in China.
Monideep Dey, PhD
President, Deytec, Inc.
Recent College of Performance Management Webinar on using Technical Performance to inform Earned Value Management. Six steps to building a credible Performance Measurement Baseline to connect the dots between all the elements of the program
Working Toward an Enhanced and Integrated Performance-Based Regulatory Regime...Dr. Monideep Dey
The aim of this presentation is firstly to present current practices for fire safety worldwide. Then I will discuss developments and the status of performance-based fire safety design, specifically the enhancements that are needed for performance-based fire safety design. I will also discuss the need for integration of prescriptive fire performance standards with performance-based design. The ultimate goal is to improve quality of fire safety programs and thus fire safety in China.
Monideep Dey, PhD
President, Deytec, Inc.
Usability Assessment of a Context-Aware and Personality-Based Mobile Recommen...Matthias Braunhofer
In this paper we present STS (South Tyrol Suggests), a context-aware mobile recommender system for places of interest (POIs) that integrates some innovative components, including: a personality questionnaire, i.e., a brief and entertaining questionnaire used by the system to learn users’ personality; an active learning module that acquires ratings-in-context for POIs that users are likely to have experienced; and a matrix factorization based recommendation module that leverages the personality information and several contextual factors in order to generate more relevant recommendations.
Adopting a system oriented perspective, we describe the assessment of the combination of the implemented components. We focus on usability aspects and report the end-user assessment of STS. It was obtained from a controlled live user study as well as from the log data produced by a larger sample of users that have freely downloaded and tried STS through Google Play Store. The result of the assessment showed that the overall usability of the system falls between “good” and “excellent”, it helped us to identify potential problems and it provided valuable indications for future system improvement.
New C++ features for writing DSLs . Ivan Čukić. CoreHard Spring 2019corehard_by
C++ is not the best language for writing domain-specific languages (DSLs), but it does have a few tricks up its sleeves. Expression templates have been the go-to approach for this for years, but writing them has always been a pain. The recent C++ versions have improved this situation significantly. We'll demonstrate several new C++ features which make writing DSLs borderline fun.
Cost-Aware Virtual Machine Placement acrossDistributed Data Centers using Ba...Soodeh Farokhi
In recent years, cloud computing providers have been working to provide highly available and scalable cloud services to keep themselves alive in the competitive market of various cloud services. The difficulty is that to provide such high quality services, they need to enlarge data centers (DCs), and consequently, to increase operating costs. Hence, leveraging cost-aware solutions to manage resources is necessary for cloud providers to decrease the total energy consumption, while keeping their customers satisfied with high quality services. In this paper, we consider the cost-aware virtual machine (VM) placement across geographically distributed DCs as a multi-criteria decision making problem and propose a novel approach to solve it by utilizing Bayesian Networks and two algorithms for VM allocation and consolidation. The novelty of our work lays in building the Bayesian Network according to the extracted expert knowledge and the probabilistic dependencies among parameters to make decisions regarding cost-aware VM placement across distributed DCs, which can face power outages. Moreover, to evaluate the proposed approach we design a novel simulation framework that provides the required features for simulating distributed DCs. The performance evaluation results reveal that using the proposed approach can reduce operating costs by up to 45% in comparison with First-Fit-Decreasing heuristic method as a baseline algorithm.
MindScripts Technology Training Solutions,
1st Floor,, Butte Bhavan,
Above Carpet House,
Near Nul Stop, Karve Rd,
Pune 411 004
C8, Sant Tukaram Complex,
Pradhikaran,
NR Nigdi Bus Stop,
Mumbai Pune Highway,
Nigdi, Pune - 411044
MindScripts provides training and job placements in Pune.Mindscripts gives 100% Job Placement for Java-Android and Software testing. It has ties ups with several MNC courses for software testing training,QTP training ,cloud computing ,android development training
Proactive Process Adaptation using Deep Learning Ensembles Andreas Metzger
Proactive process adaptation can prevent and mitigate upcoming problems during process execution. Proactive adaptation decisions are based on pre- dictions about how an ongoing process instance will unfold up to its completion. On the one hand, these predictions must have high accuracy, as, for instance, false negative predictions mean that necessary adaptations are missed. On the other hand, these predictions should be produced early during process execution, as this leaves more time for adaptations, which typically have non-negligible latencies. However, there is an important tradeoff between prediction accuracy and earliness. Later predictions typically have a higher accuracy, because more information about the ongoing process instance is available. To address this tradeoff, we use an ensemble of deep learning models that can produce predictions at arbitrary points during process execution and that provides reliability estimates for each prediction. We use these reliability estimates to dynamically determine the earliest prediction with sufficient accuracy, which is used as basis for proactive adaptation. Experimental results indicate that our dynamic approach may offer cost savings of 27% on average when compared to using a static prediction point.
Building with Glass V1 Formalizing the Forward.pdfJeanMarshall8
The visualization of the various concepts within the Glass Path includes the method of tasking and sub tasking the process at a high level. Since the path is well documented from inception it is emulated with its primary emphasis of its sustainability and what makes it viable with a gifted discovery method. In V1 we formalize the Final Forward Statement and develop a Trig Proof to highlight a metric proof of the Market. The Supply Chain then leads into the Componentization strategy to develop green products and glass incentives. This finally becomes solid state engineering in the period in which scientific assets are required to achieve the loftier goals of architectural builds and remote building. The Glass Future Tables Concepts can be depicted on a starting map to identify the progression from componentization to its full solid state engineering change.
PROOF OF THE FINAL FORWARD as an object of the Interior Margin in relation to the potential market and the dynamics of the assets that are developed to engage the market in the discovery and development of new industrial physics processes.
Privacy and Provenance in Environmental Impact Assessment - ISIE 2015 Surrey UKBrandon Kuczenski
Slideshow for presentation at the International Society for Industrial Ecology 2015 meeting in Surrey UK, July 7-10.
The presentation deals with the importance of data privacy in LCA, introduces a provenance framework for the dissemination of LCA studies, and discusses two use cases in which private data are used to compute and publish LCA results
High Performance Cooperative Distributed Systems in AdtechC4Media
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/34ipw9f.
Stan Rosenberg explores a set of core building blocks exhibited by Adtech platforms and applies them towards building a fraud detection platform. After addressing performance, he touches on the key attributes of system reliability and quality in an Adtech system. He concludes with many insights learned from building one of the leading fraud detection platforms from the ground up. Filmed at qconnewyork.com.
Stan Rosenberg currently heads up engineering at Forensiq - a leading fraud detection platform for online advertising. Prior to Forensiq, he built distributed platforms for startups.
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Usability Assessment of a Context-Aware and Personality-Based Mobile Recommen...Matthias Braunhofer
In this paper we present STS (South Tyrol Suggests), a context-aware mobile recommender system for places of interest (POIs) that integrates some innovative components, including: a personality questionnaire, i.e., a brief and entertaining questionnaire used by the system to learn users’ personality; an active learning module that acquires ratings-in-context for POIs that users are likely to have experienced; and a matrix factorization based recommendation module that leverages the personality information and several contextual factors in order to generate more relevant recommendations.
Adopting a system oriented perspective, we describe the assessment of the combination of the implemented components. We focus on usability aspects and report the end-user assessment of STS. It was obtained from a controlled live user study as well as from the log data produced by a larger sample of users that have freely downloaded and tried STS through Google Play Store. The result of the assessment showed that the overall usability of the system falls between “good” and “excellent”, it helped us to identify potential problems and it provided valuable indications for future system improvement.
New C++ features for writing DSLs . Ivan Čukić. CoreHard Spring 2019corehard_by
C++ is not the best language for writing domain-specific languages (DSLs), but it does have a few tricks up its sleeves. Expression templates have been the go-to approach for this for years, but writing them has always been a pain. The recent C++ versions have improved this situation significantly. We'll demonstrate several new C++ features which make writing DSLs borderline fun.
Cost-Aware Virtual Machine Placement acrossDistributed Data Centers using Ba...Soodeh Farokhi
In recent years, cloud computing providers have been working to provide highly available and scalable cloud services to keep themselves alive in the competitive market of various cloud services. The difficulty is that to provide such high quality services, they need to enlarge data centers (DCs), and consequently, to increase operating costs. Hence, leveraging cost-aware solutions to manage resources is necessary for cloud providers to decrease the total energy consumption, while keeping their customers satisfied with high quality services. In this paper, we consider the cost-aware virtual machine (VM) placement across geographically distributed DCs as a multi-criteria decision making problem and propose a novel approach to solve it by utilizing Bayesian Networks and two algorithms for VM allocation and consolidation. The novelty of our work lays in building the Bayesian Network according to the extracted expert knowledge and the probabilistic dependencies among parameters to make decisions regarding cost-aware VM placement across distributed DCs, which can face power outages. Moreover, to evaluate the proposed approach we design a novel simulation framework that provides the required features for simulating distributed DCs. The performance evaluation results reveal that using the proposed approach can reduce operating costs by up to 45% in comparison with First-Fit-Decreasing heuristic method as a baseline algorithm.
MindScripts Technology Training Solutions,
1st Floor,, Butte Bhavan,
Above Carpet House,
Near Nul Stop, Karve Rd,
Pune 411 004
C8, Sant Tukaram Complex,
Pradhikaran,
NR Nigdi Bus Stop,
Mumbai Pune Highway,
Nigdi, Pune - 411044
MindScripts provides training and job placements in Pune.Mindscripts gives 100% Job Placement for Java-Android and Software testing. It has ties ups with several MNC courses for software testing training,QTP training ,cloud computing ,android development training
Proactive Process Adaptation using Deep Learning Ensembles Andreas Metzger
Proactive process adaptation can prevent and mitigate upcoming problems during process execution. Proactive adaptation decisions are based on pre- dictions about how an ongoing process instance will unfold up to its completion. On the one hand, these predictions must have high accuracy, as, for instance, false negative predictions mean that necessary adaptations are missed. On the other hand, these predictions should be produced early during process execution, as this leaves more time for adaptations, which typically have non-negligible latencies. However, there is an important tradeoff between prediction accuracy and earliness. Later predictions typically have a higher accuracy, because more information about the ongoing process instance is available. To address this tradeoff, we use an ensemble of deep learning models that can produce predictions at arbitrary points during process execution and that provides reliability estimates for each prediction. We use these reliability estimates to dynamically determine the earliest prediction with sufficient accuracy, which is used as basis for proactive adaptation. Experimental results indicate that our dynamic approach may offer cost savings of 27% on average when compared to using a static prediction point.
Building with Glass V1 Formalizing the Forward.pdfJeanMarshall8
The visualization of the various concepts within the Glass Path includes the method of tasking and sub tasking the process at a high level. Since the path is well documented from inception it is emulated with its primary emphasis of its sustainability and what makes it viable with a gifted discovery method. In V1 we formalize the Final Forward Statement and develop a Trig Proof to highlight a metric proof of the Market. The Supply Chain then leads into the Componentization strategy to develop green products and glass incentives. This finally becomes solid state engineering in the period in which scientific assets are required to achieve the loftier goals of architectural builds and remote building. The Glass Future Tables Concepts can be depicted on a starting map to identify the progression from componentization to its full solid state engineering change.
PROOF OF THE FINAL FORWARD as an object of the Interior Margin in relation to the potential market and the dynamics of the assets that are developed to engage the market in the discovery and development of new industrial physics processes.
Privacy and Provenance in Environmental Impact Assessment - ISIE 2015 Surrey UKBrandon Kuczenski
Slideshow for presentation at the International Society for Industrial Ecology 2015 meeting in Surrey UK, July 7-10.
The presentation deals with the importance of data privacy in LCA, introduces a provenance framework for the dissemination of LCA studies, and discusses two use cases in which private data are used to compute and publish LCA results
High Performance Cooperative Distributed Systems in AdtechC4Media
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/34ipw9f.
Stan Rosenberg explores a set of core building blocks exhibited by Adtech platforms and applies them towards building a fraud detection platform. After addressing performance, he touches on the key attributes of system reliability and quality in an Adtech system. He concludes with many insights learned from building one of the leading fraud detection platforms from the ground up. Filmed at qconnewyork.com.
Stan Rosenberg currently heads up engineering at Forensiq - a leading fraud detection platform for online advertising. Prior to Forensiq, he built distributed platforms for startups.
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
1. MCN 7105: Structure and Interpretation of Computer
Programs
Group I (CS)
Applying Simple Procedures
Group I (CS) MCN 7105 October 20, 2019 1 / 9
2. Overview
1 Applying Simple Procedures
Introduction
Procedure Definition
Procedure Evaluation
Group I (CS) MCN 7105 October 20, 2019 2 / 9
3. Applying Simple Procedures Introduction
Applying Simple Procedures
An environment consists of a sequence of frames.
A frame is a table of bindings, a pairing of a name and a value.
A frame might be shared by multiple environments.
A procedure object consists of some code, together with a pointer
to the enclosing environment.
Group I (CS) MCN 7105 October 20, 2019 3 / 9
4. Applying Simple Procedures Procedure Definition
Procedure Definition
average
Group I (CS) MCN 7105 October 20, 2019 4 / 9
5. Applying Simple Procedures Procedure Evaluation
Procedure Evaluation
Steps
To apply a compound procedure P to arguments:
Create a new frame A
Make A into an environment E
In A, bind the parameters of P to the argument values
Evaluate the body of P with E as the current environment
Group I (CS) MCN 7105 October 20, 2019 5 / 9
6. Applying Simple Procedures Procedure Evaluation
Procedure Evaluation
average
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7. Applying Simple Procedures Procedure Evaluation
Procedure Definition
hypotenuse
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8. Applying Simple Procedures Procedure Evaluation
Procedure Evaluation
hypotenuse
Group I (CS) MCN 7105 October 20, 2019 8 / 9