This document discusses the use of digital thread in data analytics to improve search and provide end-to-end visibility across product lifecycles. Digital thread is a communication system that connects manufacturing process elements and provides a complete view of each element throughout the lifecycle. It allows sharing of information across organizations and suppliers. Digital thread brings quality gains by managing large amounts of data and complex supply chains. It helps enterprises quickly redesign products and meet timelines while maintaining visibility of each component's journey. The document proposes using a Neo4j graph database hosted on AWS cloud to implement a digital thread that links product data. This would provide security, performance, and analytics benefits across the overall manufacturing process.
Is Your Organization Ready to Embrace a Digital Twin?Cognizant
Before industrial organizations invest in technologies for creating data-driven product design strategies, they need to reassess their operational maturity and technology readiness to compete in a world where the virtual and physical seamlessly fuse as digital twins.
Assessing the Business Value of SDN Datacenter Security Solutionsxband
CTOs, CIOs, and application architects need access to datacenter facilities capable of handling the broad range of content serving, Big Data/analytics, and archiving functions associated with the systems of engagement and insight that they depend upon to better service customers and enhance business outcomes. They need to enhance their existing datacenters, they need to accelerate the building of new datacenters in new geographies, and they need to take greater advantage of advanced, sophisticated datacenters designed, built, and operated by service providers. IDC terms this business and datacenter transformation the shift to the 3rd Platform.
Is Your Organization Ready to Embrace a Digital Twin?Cognizant
Before industrial organizations invest in technologies for creating data-driven product design strategies, they need to reassess their operational maturity and technology readiness to compete in a world where the virtual and physical seamlessly fuse as digital twins.
Assessing the Business Value of SDN Datacenter Security Solutionsxband
CTOs, CIOs, and application architects need access to datacenter facilities capable of handling the broad range of content serving, Big Data/analytics, and archiving functions associated with the systems of engagement and insight that they depend upon to better service customers and enhance business outcomes. They need to enhance their existing datacenters, they need to accelerate the building of new datacenters in new geographies, and they need to take greater advantage of advanced, sophisticated datacenters designed, built, and operated by service providers. IDC terms this business and datacenter transformation the shift to the 3rd Platform.
White Paper IDC | The Business Value of VCE Vblock Systems: Leveraging Conver...Melissa Luongo
The Business Value of VCE Vblock Systems: Leveraging Convergence to Drive Business Agility
In the past decade, information technology (IT) evolved from an enabler of back-office business processes to the very foundation of a modern business. In the increasingly digital and mobile world, the datacenter is often the first and most frequent point of contact with customers. The ability to innovate quickly lies at the heart of today’s changing business models. Businesses expect their IT investments to accelerate their pace of innovation, provide flexibility to meet new demands, and continually reduce the costs of operations.
Converged infrastructure is essential for many companies to ensure that their datacenter infrastructures can meet today’s challenges. The business rationale for deploying converged infrastructure goes far beyond traditional IT feeds and speeds. Customers using converged solutions like VCE’s Vblock Systems (Vblock) realize lower costs, greater levels of utilization, and reduced downtime. VCE customers in this study recognized business benefits such as improved organizational agility, faster application development, increased innovation, and improved employee productivity.
IDC interviewed 16 VCE Vblock Systems customers to understand and quantify the benefits delivered by their Vblock converged infrastructure deployments. Vblock Systems are built by VCE using compute, network, and storage technologies and virtualization software from Cisco, EMC, and VMware.
IDC found that by using Vblock Systems, these organizations recorded improved business outcomes and that these improvements are increasingly driving IT investment decisions.
All VCE customers interviewed for this study generated substantial business value by consolidating their IT infrastructures with Vblock. IDC calculates that these VCE customers will generate five-year discounted benefits worth an average of $384,202 per 100 users by using Vblock, which will result in an average return on investment (ROI) of 518% and a payback period of 7.5 months.
A Glimpse into Software Defined Data CenterFung Ping
Note: This article is not published yet, it is for preview purpose. Interested publisher please contact hpfung1@gmail.com or hanping.fung@aeu.edu.my
A Glimpse into Software Defined Data Center
Abstract – Existing data centers today are not ready to support IT organizations to meet the ever changing business demands. Hence, next generation of data center like Software Defined Data Center (SDDC) is explored and expected to come to rescue. However, SDDC is relatively new since its inception in 2012 whereby there are different early interpretations on its definition, criteria, reference architecture and values that SDDC brings. There is also limited literature and sharing on how a SDDC works. The objective of this study is to shed some lights on SDDC operational definition, criteria, reference architecture, depiction on how SDDC works in three scenarios as well as standardized the values it brings. Moreover, some factors to guide IT organizations how to adopt SDDC are also discussed. This study has taken a qualitative approach in which SDDC literature is reviewed and some SDDC IT professionals are interviewed. Lastly, limitations of the study, future research and conclusion are also provided.
Brace Yourselves Because The Internet of Things Is ComingCherwell Software
Amy DeMartine, Senior Analyst Forrester— Her research focus is on IT service management and IT asset management, including topics such as knowledge management, collaboration opportunities, and customer experience management. Amy helps IT organizations improve their customer experience with their lines of business by analyzing paradigm shifts in the services and support IT provides.
Booz Allen's Cloud cost model offers a total-value perspective on IT cost that evaluates the explicit and implicit value of a migration to cloud-based services.
Big Data Forum at Salt River Fields (the spring training field for the Arizona Diamondbacks). Krishnan Parasuraman discusses how companies are using big data and analytics to transform their business.
Making Actionable Decisions at the Network's EdgeCognizant
With the vast analytical power unleashed by the Internet of Things (IoT) ecosystem, IT organizations must be able to apply both cloud analytics and edge analytics - cloud for strategic decision-making and edge for more instantaneous response based on local sensors and other technology.
Unifying the big data analytics stack by enabling ETL, OLAP, visualization, and collaboration via a single interface. Get an End To End implementation of The Modern Analytics Architecture.
Role of Cloud Computing Technology in Agriculture Fieldssushil Choudhary
Use of Cloud computing technology in agricultural areas has greater chance in the overall development of India.
An effective implementation of cloud computing is encouraging in agricultural sector. Cloud Computing is
emerging today as a commercial infrastructure that eliminates the need for maintaining expensive computing
hardware, software, Information technology, staff, infrastructure, recourses and their maintenance. Cloud
computing is a network-based environment that focuses on sharing computations, Cloud computing networks
access to a shared pool of configurable networks, servers, storage, service, applications & other important
computing resources. In modern era of cloud computing technology very helpful for centralized the allagricultural
related data bank (Soil-related, weather, Research, Crop, Farmers, Agriculture marketing, fertilizers
and pesticide information) in the cloud. In this paper, also discuss Computing model, characteristics,
deployment model, cloud service model, cloud benefits and challenge of cloud computing in agriculture field.
Manufacturing companies have traditionally
had an on-again-off-again relationship with
technology. However, the paradigm shift driven
by global manufacturing and distribution,
combined with rapid digital innovation, is
changing this equation. Deloitte’s 2016 MHI
survey reveals that 83% of manufacturing
organizations believe investing in key digital
technologies such as IoT, robotics, Big
Data, cloud computing, etc. will be key to
competitive advantage in the near future.1
A technical Introduction to Big Data AnalyticsPethuru Raj PhD
This presentation gives the details about the sources for big data, the value of big data, what to do with big data, the platforms, the infrastructures and the architectures for big data analytics
White Paper IDC | The Business Value of VCE Vblock Systems: Leveraging Conver...Melissa Luongo
The Business Value of VCE Vblock Systems: Leveraging Convergence to Drive Business Agility
In the past decade, information technology (IT) evolved from an enabler of back-office business processes to the very foundation of a modern business. In the increasingly digital and mobile world, the datacenter is often the first and most frequent point of contact with customers. The ability to innovate quickly lies at the heart of today’s changing business models. Businesses expect their IT investments to accelerate their pace of innovation, provide flexibility to meet new demands, and continually reduce the costs of operations.
Converged infrastructure is essential for many companies to ensure that their datacenter infrastructures can meet today’s challenges. The business rationale for deploying converged infrastructure goes far beyond traditional IT feeds and speeds. Customers using converged solutions like VCE’s Vblock Systems (Vblock) realize lower costs, greater levels of utilization, and reduced downtime. VCE customers in this study recognized business benefits such as improved organizational agility, faster application development, increased innovation, and improved employee productivity.
IDC interviewed 16 VCE Vblock Systems customers to understand and quantify the benefits delivered by their Vblock converged infrastructure deployments. Vblock Systems are built by VCE using compute, network, and storage technologies and virtualization software from Cisco, EMC, and VMware.
IDC found that by using Vblock Systems, these organizations recorded improved business outcomes and that these improvements are increasingly driving IT investment decisions.
All VCE customers interviewed for this study generated substantial business value by consolidating their IT infrastructures with Vblock. IDC calculates that these VCE customers will generate five-year discounted benefits worth an average of $384,202 per 100 users by using Vblock, which will result in an average return on investment (ROI) of 518% and a payback period of 7.5 months.
A Glimpse into Software Defined Data CenterFung Ping
Note: This article is not published yet, it is for preview purpose. Interested publisher please contact hpfung1@gmail.com or hanping.fung@aeu.edu.my
A Glimpse into Software Defined Data Center
Abstract – Existing data centers today are not ready to support IT organizations to meet the ever changing business demands. Hence, next generation of data center like Software Defined Data Center (SDDC) is explored and expected to come to rescue. However, SDDC is relatively new since its inception in 2012 whereby there are different early interpretations on its definition, criteria, reference architecture and values that SDDC brings. There is also limited literature and sharing on how a SDDC works. The objective of this study is to shed some lights on SDDC operational definition, criteria, reference architecture, depiction on how SDDC works in three scenarios as well as standardized the values it brings. Moreover, some factors to guide IT organizations how to adopt SDDC are also discussed. This study has taken a qualitative approach in which SDDC literature is reviewed and some SDDC IT professionals are interviewed. Lastly, limitations of the study, future research and conclusion are also provided.
Brace Yourselves Because The Internet of Things Is ComingCherwell Software
Amy DeMartine, Senior Analyst Forrester— Her research focus is on IT service management and IT asset management, including topics such as knowledge management, collaboration opportunities, and customer experience management. Amy helps IT organizations improve their customer experience with their lines of business by analyzing paradigm shifts in the services and support IT provides.
Booz Allen's Cloud cost model offers a total-value perspective on IT cost that evaluates the explicit and implicit value of a migration to cloud-based services.
Big Data Forum at Salt River Fields (the spring training field for the Arizona Diamondbacks). Krishnan Parasuraman discusses how companies are using big data and analytics to transform their business.
Making Actionable Decisions at the Network's EdgeCognizant
With the vast analytical power unleashed by the Internet of Things (IoT) ecosystem, IT organizations must be able to apply both cloud analytics and edge analytics - cloud for strategic decision-making and edge for more instantaneous response based on local sensors and other technology.
Unifying the big data analytics stack by enabling ETL, OLAP, visualization, and collaboration via a single interface. Get an End To End implementation of The Modern Analytics Architecture.
Role of Cloud Computing Technology in Agriculture Fieldssushil Choudhary
Use of Cloud computing technology in agricultural areas has greater chance in the overall development of India.
An effective implementation of cloud computing is encouraging in agricultural sector. Cloud Computing is
emerging today as a commercial infrastructure that eliminates the need for maintaining expensive computing
hardware, software, Information technology, staff, infrastructure, recourses and their maintenance. Cloud
computing is a network-based environment that focuses on sharing computations, Cloud computing networks
access to a shared pool of configurable networks, servers, storage, service, applications & other important
computing resources. In modern era of cloud computing technology very helpful for centralized the allagricultural
related data bank (Soil-related, weather, Research, Crop, Farmers, Agriculture marketing, fertilizers
and pesticide information) in the cloud. In this paper, also discuss Computing model, characteristics,
deployment model, cloud service model, cloud benefits and challenge of cloud computing in agriculture field.
Manufacturing companies have traditionally
had an on-again-off-again relationship with
technology. However, the paradigm shift driven
by global manufacturing and distribution,
combined with rapid digital innovation, is
changing this equation. Deloitte’s 2016 MHI
survey reveals that 83% of manufacturing
organizations believe investing in key digital
technologies such as IoT, robotics, Big
Data, cloud computing, etc. will be key to
competitive advantage in the near future.1
A technical Introduction to Big Data AnalyticsPethuru Raj PhD
This presentation gives the details about the sources for big data, the value of big data, what to do with big data, the platforms, the infrastructures and the architectures for big data analytics
Nurturing Digital Twins: How to Build Virtual Instances of Physical Assets to...Cognizant
To embark on the digital twin jounrey, assess your readiness, define and communicate a vision, set common data management rules and build in flexibility for intelligence.
IRJET-To Implement Cloud Computing by using Agile Methodology in Indian E-Gov...IRJET Journal
P.V.S.S.Gangadhar, A.K.Shrivastava, Ragini Shukla "To Implement Cloud Computing by using Agile Methodology in Indian E-Governance ",International Research Journal of Engineering and Technology (IRJET), Volume2,issue-01 April 2015.e-ISSN:2395-0056, p-ISSN:2395-0072. www.irjet.net .published by Fast Track Publications
Abstract
Many developed countries in the world, uses Information and communication technology to deliver public services in a more efficient & easy way. The benefits of the Electronic Governance are huge and day by day increasing from one to many public services. But implementation of the governance is constrained due to 1) high costs of investment 2) shortage of domain experts 3) diverse and irreconcilable systems and 4) Security and privacy issues. With the Invent & rise of Cloud computing, i am looking various aspects of use of cloud computing in e-governance is emerged. Cloud computing can solve many of the above mentioned hurdles and provide better way to e-gov expansion, but it has some risks also. Agile development treats optimize the chance provided by cloud computing by doing software relinquishes iteratively and getting end user feedback more frequently and quickly.
How Data Virtualization Puts Machine Learning into Production (APAC)Denodo
Watch full webinar here: https://bit.ly/3mJJ4w9
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spend most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Attend this session to learn how companies can use data virtualization to:
- Create a logical architecture to make all enterprise data available for advanced analytics exercise
- Accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
- Integrate popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc
Cloud Analytics Ability to Design, Build, Secure, and Maintain Analytics Solu...YogeshIJTSRD
Cloud Analytics is another area in the IT field where different services like Software, Infrastructure, storage etc. are offered as services online. Users of cloud services are under constant fear of data loss, security threats, and availability issues. However, the major challenge in these methods is obtaining real time and unbiased datasets. Many datasets are internal and cannot be shared due to privacy issues or may lack certain statistical characteristics. As a result of this, researchers prefer to generate datasets for training and testing purposes in simulated or closed experimental environments which may lack comprehensiveness. Advances in sensor technology, the Internet of things IoT , social networking, wireless communications, and huge collection of data from years have all contributed to a new field of study Big Data is discussed in this paper. Through this analysis and investigation, we provide recommendations for the research public on future directions on providing data based decisions for cloud supported Big Data computing and analytic solutions. This paper concentrates upon the recent trends in Big Data storage and analysing, in the clouds, and also points out the security limitations. Rajan Ramvilas Saroj "Cloud Analytics: Ability to Design, Build, Secure, and Maintain Analytics Solutions on the Cloud" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd43728.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/43728/cloud-analytics-ability-to-design-build-secure-and-maintain-analytics-solutions-on-the-cloud/rajan-ramvilas-saroj
A Logical Architecture is Always a Flexible Architecture (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3joZa0a
The current data landscape is fragmented, not just in location but also in terms of processing paradigms: data lakes, IoT architectures, NoSQL, and graph data stores, SaaS applications, etc. are found coexisting with relational databases to fuel the needs of modern analytics, ML, and AI. The physical consolidation of enterprise data into a central repository, although possible, is both expensive and time-consuming. A logical data warehouse is a modern data architecture that allows organizations to leverage all of their data irrespective of where the data is stored, what format it is stored in, and what technologies or protocols are used to store and access the data.
Watch this session to understand:
- What is a logical data warehouse and how to architect one
- The benefits of logical data warehouse – speed with agility
- Customer use case depicting logical architecture implementation
The software development process is complete for computer project analysis, and it is important to the evaluation of the random project. These practice guidelines are for those who manage big-data and big-data analytics projects or are responsible for the use of data analytics solutions. They are also intended for business leaders and program leaders that are responsible for developing agency capability in the area of big data and big data analytics .
For those agencies currently not using big data or big data analytics, this document may assist strategic planners, business teams and data analysts to consider the value of big data to the current and future programs.
This document is also of relevance to those in industry, research and academia who can work as partners with government on big data analytics projects.
Technical APS personnel who manage big data and/or do big data analytics are invited to join the Data Analytics Centre of Excellence Community of Practice to share information of technical aspects of big data and big data analytics, including achieving best practice with modeling and related requirements. To join the community, send an email to the Data Analytics Centre of Excellence
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)Denodo
Watch full webinar here: https://bit.ly/2O2r3NP
In the last several decades, BI has evolved from large, monolithic implementations controlled by IT to orchestrated sets of smaller, more agile capabilities that include visual-based data discovery and governance. These new capabilities provide more democratic analytics accessibility that is increasingly being controlled by business users. However, given the rapid advancements in emerging technologies such as cloud and big data systems and the fast changing business requirements, creating a future-proof data management strategy is an incredibly complex task.
Catch this on demand session to understand:
- BI program modernization challenges
- What is data virtualization and why is its adoption growing so quickly?
- How data virtualization works and how it compares to alternative approaches to data integration
- How modern data virtualization can significantly increase agility while reducing costs
In the era of digital transformation, the concept of Digital Twins has emerged as a revolutionary approach to managing and optimizing the lifecycle of physical assets, systems, and processes. This talk delves into the transformative potential of Digital Maintenance in the Digital Twin Era, highlighting the seamless integration of digital replicas with real-world operations to foster unprecedented levels of efficiency, predictability, and sustainability in maintenance practices. We will explore how Digital Twins serve as dynamic, real-time reflections of physical assets, allowing for meticulous monitoring, analysis, and simulation. Through vivid examples, we'll demonstrate the benefits of this paradigm, such as predictive maintenance, which leverages data analytics and machine learning to anticipate failures and optimize maintenance schedules, thereby reducing downtime and extending asset lifespan. Further, the talk will showcase the role of Digital Twins in facilitating remote maintenance operations. By providing a comprehensive, virtual view of assets, maintenance professionals can perform diagnostics and identify issues without being physically present, enhancing safety and reducing response times. We'll also explore the environmental benefits of Digital Maintenance within the Digital Twin framework. By optimizing maintenance schedules and operations, organizations can significantly reduce their carbon footprint and resource consumption, contributing to more sustainable industrial practices. Finally, the presentation will highlight case studies from various industries, including manufacturing, energy, and transportation, where the adoption of Digital Twins has led to substantial cost savings, improved operational efficiency, and enhanced decision-making processes. These examples will illustrate the tangible value and competitive advantage that Digital Maintenance in the Digital Twin Era offers to forward-thinking organizations.
Denodo DataFest 2016: Data Science: Operationalizing Analytical Models in Rea...Denodo
Watch the full session: Denodo DataFest 2016 sessions: https://goo.gl/yVJnti
Data virtualization starts with democratizing data access for business users, but goes well beyond to enable entire analytics life cycle. This session will discuss the critical role of data virtualization in the four key phases of big data analytics: Discovery of raw and enriched data, Analytic Exploration, Real-time Operationalization, and Predictive Intervention.
In this session, you will learn:
• Design of advanced analytics with view towards business goal realization
• The role of data virtualization in enabling analytics through four key phases
• How to exploit product capabilities relevant to each stage
• Creating a system of governed self-service and collaborative analytics
This session is part of the Denodo DataFest 2016 event. You can also watch more Denodo DataFest sessions on demand here: https://goo.gl/VXb6M6
Cloud-Based IoT Analytics and Machine LearningSatyaKVivek
Among the IT developments that have made it to the forefront in recent times, machine learning and IoT certainly stand out. As with most such technologies, integrating the two can help develop powerful IoT solutions and tackle complex challenges. More specifically speaking, machine learning can be leveraged in cloud based IoT analytics.
Data and Application Modernization in the Age of the Cloudredmondpulver
Data modernization is key to unlocking the full potential of your IT investments, both on premises and in the cloud. Enterprises and organizations of all sizes rely on their data to power advanced analytics, machine learning, and artificial intelligence.
Yet the path to modernizing legacy data systems for the cloud is full of pitfalls that cost time, money, and resources. These issues include high hardware and staffing costs, difficulty moving data and analytical processes to cloud environments, and inadequate support for real-time use cases. These issues delay delivery timelines and increase costs, impacting the return on investment for new, cutting-edge applications.
Watch this webinar in which James Kobielus, TDWI senior research director for data management, explores how enterprises are modernizing their mainframe data and application infrastructures in the cloud to sustain innovation and drive efficiencies. Kobielus will engage John de Saint Phalle, senior product manager at Precisely, in a discussion that addresses the following key questions:
When should enterprises consider migrating and replicating all their data assets to modern public clouds vs. retaining some on-premises in hybrid deployments?How should enterprises modernize their legacy data and application infrastructures to unlock innovation and value in the age of cloud computing?What are the key investments that enterprises should make to modernize their data pipelines to deliver better AI/ML applications in the cloud?What is the optimal data engineering workflow for building, testing, and operationalizing high-quality modern AI/ML applications in the cloud?What value does real-time replication play in migrating data and applications to modern cloud data architectures?What challenges do enterprises face in ensuring and maintaining the integrity, fitness, and quality of the data that they migrate to modern clouds?What tools and methodologies should enterprise application developers use to refactor and transform legacy data applications that have migrated to modern clouds
Customization of BMIDE at Customer End as per Business RequirementYogeshIJTSRD
In today‘s competitive environment most of the Information Technology Enabled Services ITES industries having large amount of product data in the scattered form as the industries become bigger and bigger. Manage the CAD Design data in an efficient way with existing infrastructure which can maintain the version of changes in the CAD data, also speedup the cross functional team to align the design updates. Currently Caresoft have 5000 parts in folder by end of this year it will be overall 15000 parts will be added up to 25000 parts approximately so to manage these data at various level of company need rigid solution on it, so PLM implementation arises. This project provides best industry practices at various levels like Creo data management, Document Management, Engineering process management, Provides security, Bill of Material management, Queries, Report generation Data relational management. Project also provides solution in structure manager, access manager, change management, workflow designer organization creation etc Mr. Narangale Digvijay Dhondiram | Mr. Sayyad Shafik R "Customization of BMIDE at Customer End as per Business Requirement" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, URL: https://www.ijtsrd.com/papers/ijtsrd38679.pdf Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/38679/customization-of-bmide-at-customer-end-as-per-business-requirement/mr-narangale-digvijay-dhondiram
Similar to IRJET- Search Improvement using Digital Thread in Data Analytics (20)
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.