This document discusses the application of emerging artificial intelligence methods in structural engineering. It provides an overview of expert systems and artificial neural networks, which are manifestations of artificial intelligence that have been applied in structural engineering. Specifically, it discusses how expert systems and neural networks have been used for structural analysis, design, non-destructive testing, and other applications in civil engineering. The document also reviews the potential for using knowledge-based systems and machine learning approaches to assist with conceptual and preliminary structural design processes.
The document discusses optimizing the design of a 9m x 12m house building plan using artificial intelligence and learning systems. It proposes using algorithms to automate the preliminary design process to allow for more optimization of factors like space utilization, daylight utilization, energy usage, water harvesting, and building materials. The algorithms aim to generate an optimized building plan design that improves upon conventional designs for these utility parameters. The preliminary algorithms and results presented in the paper show promise for developing an expert system that can efficiently optimize house design dimensions and parameters. Continued development is still needed to build a full design toolkit for houses of different sizes and numbers of floors.
1) The document discusses the modeling and development of virtual application software to simulate various engineering mechanisms.
2) CAD is used to create 3D wireframe models of common mechanisms like links and joints.
3) The virtual mechanisms are then animated to simulate their motion in a simulated environment, allowing for analysis of industrial applications.
Artificial intelligence has been a buzz word that is impacting every industry in the world. With the rise of such advanced technology, there will be always a question regarding its impact on our social life, environment and economy thus impacting all efforts exerted towards sustainable development. In the information era, enormous amounts of data have become available on hand to decision makers. Big data refers to datasets that are not only big, but also high in variety and velocity, which makes them difficult to handle using traditional tools and techniques. Due to the rapid growth of such data, solutions need to be studied and provided in order to handle and extract value and knowledge from these datasets for different industries and business operations. Numerous use cases have shown that AI can ensure an effective supply of information to citizens, users and customers in times of crisis. This paper aims to analyse some of the different methods and scenario which can be applied to AI and big data, as well as the opportunities provided by the application in various business operations and crisis management domains.
ANALYSIS OF SYSTEM ON CHIP DESIGN USING ARTIFICIAL INTELLIGENCEijesajournal
Automation is a powerful word that lies everywhere. It shows that without automation, application will not get developed. In a semiconductor industry, artificial intelligence played a vital role for implementing the chip based design through automation .The main advantage of applying the machine learning & deep learning technique is to improve the implementation rate based upon the capability of the society. The main objective of the proposed system is to apply the deep learning using data driven approach for controlling the system. Thus leads to a improvement in design, delay ,speed of operation & costs. Through this system, huge volume of data’s that are generated by the system will also get control.
IRJET- Development of a Neural Network based Model for Construction Proje...IRJET Journal
This document describes the development of a neural network model to predict construction project management effectiveness. 12 factors that influence effectiveness were identified, including factors related to the project manager, project team, and planning/control efforts. A questionnaire was used to collect historical project data on these factors. A neural network model was developed and trained using the data to establish relationships between the input factors and output of project cost variation, which measures management effectiveness. The model can be used as a decision support tool to evaluate management strategies and optimize resource allocation to improve effectiveness.
Paper sharing_Tapping into the wearable device revolution in the work environ...YOU SHENG CHEN
This document summarizes a systematic literature review on the use of wearable devices in work environments. It discusses the following key points:
1) Various types of wearable technologies are mentioned in the literature for use in work environments, categorized as monitoring, assisting, augmenting, delivering content, and tracking.
2) Companies and employees can benefit from wearables through monitoring employee health and safety, enhancing operational efficiency, collaboration, and improving work environment safety.
3) Challenges to the adoption of wearables include technological issues like battery life and data security concerns, as well as social challenges regarding privacy, ethics, and employee acceptance of monitoring. Further research is needed to address these challenges.
Finding new framework for resolving problems in various dimensions by the use...Alexander Decker
This document provides an overview of expert systems, including their components, development lifecycle, applications, advantages, and limitations. It describes the basic modules of an expert system including the knowledge acquisition subsystem, knowledge base, inference engine, explanation subsystem, and user interface. It also discusses expert system tools, characteristics, and some examples of expert system applications in domains like monitoring, diagnosis, design, and more. Overall, the document presents a broad introduction to expert systems, their architecture and uses.
The document discusses optimizing the design of a 9m x 12m house building plan using artificial intelligence and learning systems. It proposes using algorithms to automate the preliminary design process to allow for more optimization of factors like space utilization, daylight utilization, energy usage, water harvesting, and building materials. The algorithms aim to generate an optimized building plan design that improves upon conventional designs for these utility parameters. The preliminary algorithms and results presented in the paper show promise for developing an expert system that can efficiently optimize house design dimensions and parameters. Continued development is still needed to build a full design toolkit for houses of different sizes and numbers of floors.
1) The document discusses the modeling and development of virtual application software to simulate various engineering mechanisms.
2) CAD is used to create 3D wireframe models of common mechanisms like links and joints.
3) The virtual mechanisms are then animated to simulate their motion in a simulated environment, allowing for analysis of industrial applications.
Artificial intelligence has been a buzz word that is impacting every industry in the world. With the rise of such advanced technology, there will be always a question regarding its impact on our social life, environment and economy thus impacting all efforts exerted towards sustainable development. In the information era, enormous amounts of data have become available on hand to decision makers. Big data refers to datasets that are not only big, but also high in variety and velocity, which makes them difficult to handle using traditional tools and techniques. Due to the rapid growth of such data, solutions need to be studied and provided in order to handle and extract value and knowledge from these datasets for different industries and business operations. Numerous use cases have shown that AI can ensure an effective supply of information to citizens, users and customers in times of crisis. This paper aims to analyse some of the different methods and scenario which can be applied to AI and big data, as well as the opportunities provided by the application in various business operations and crisis management domains.
ANALYSIS OF SYSTEM ON CHIP DESIGN USING ARTIFICIAL INTELLIGENCEijesajournal
Automation is a powerful word that lies everywhere. It shows that without automation, application will not get developed. In a semiconductor industry, artificial intelligence played a vital role for implementing the chip based design through automation .The main advantage of applying the machine learning & deep learning technique is to improve the implementation rate based upon the capability of the society. The main objective of the proposed system is to apply the deep learning using data driven approach for controlling the system. Thus leads to a improvement in design, delay ,speed of operation & costs. Through this system, huge volume of data’s that are generated by the system will also get control.
IRJET- Development of a Neural Network based Model for Construction Proje...IRJET Journal
This document describes the development of a neural network model to predict construction project management effectiveness. 12 factors that influence effectiveness were identified, including factors related to the project manager, project team, and planning/control efforts. A questionnaire was used to collect historical project data on these factors. A neural network model was developed and trained using the data to establish relationships between the input factors and output of project cost variation, which measures management effectiveness. The model can be used as a decision support tool to evaluate management strategies and optimize resource allocation to improve effectiveness.
Paper sharing_Tapping into the wearable device revolution in the work environ...YOU SHENG CHEN
This document summarizes a systematic literature review on the use of wearable devices in work environments. It discusses the following key points:
1) Various types of wearable technologies are mentioned in the literature for use in work environments, categorized as monitoring, assisting, augmenting, delivering content, and tracking.
2) Companies and employees can benefit from wearables through monitoring employee health and safety, enhancing operational efficiency, collaboration, and improving work environment safety.
3) Challenges to the adoption of wearables include technological issues like battery life and data security concerns, as well as social challenges regarding privacy, ethics, and employee acceptance of monitoring. Further research is needed to address these challenges.
Finding new framework for resolving problems in various dimensions by the use...Alexander Decker
This document provides an overview of expert systems, including their components, development lifecycle, applications, advantages, and limitations. It describes the basic modules of an expert system including the knowledge acquisition subsystem, knowledge base, inference engine, explanation subsystem, and user interface. It also discusses expert system tools, characteristics, and some examples of expert system applications in domains like monitoring, diagnosis, design, and more. Overall, the document presents a broad introduction to expert systems, their architecture and uses.
Architectural approaches for implementing Clinical Decision Support Systems i...Luis Felipe Tabares Pérez
This document presents the results of a systematic literature review on architectural approaches for implementing clinical decision support systems in the cloud. The review identified 12 primary studies and analyzed them based on their proposed architectural approach, contributions of cloud computing, challenges, application area, type of clinical decision support, quality attributes, and data sources. Common findings included the use of three main components - a knowledge database, inference engine, and interface server. Key challenges were performance, compatibility and reliability, while security and privacy were main concerns. There was also a lack of formalism in software engineering practices and rigor in defining cloud-based approaches.
The document discusses the systems development life cycle approach to developing information systems. It involves defining the problem, designing alternative solutions, selecting and implementing a solution, and monitoring/evaluating results. Key aspects include conducting a feasibility study in systems investigation, performing requirements analysis and logical/physical design in systems analysis/design, implementing the design, and maintaining the system based on evaluation. The goal is to take a systematic, interdependent approach to conceptualizing and solving business problems through information system solutions.
Studying Software Engineering Patterns for Designing Machine Learning SystemsHironori Washizaki
Hironori Washizaki, Hiromu Uchida, Foutse Khomh and Yann-Gaël Guéhéneuc, “Studying Software Engineering Patterns for Designing Machine Learning Systems,” The 10th International Workshop on Empirical Software Engineering in Practice (IWESEP 2019), Tokyo, Japan, on December 13-14, 2019.
1. Systems engineering is an interdisciplinary approach that focuses on designing and managing complex systems as a whole rather than individual parts. It involves considering all aspects of a problem and relating technical and social factors.
2. A system is made up of interacting elements that work together to achieve specific purposes. Systems engineering is concerned with both the internal structure of a system's components and interactions, as well as a system's external relationships.
3. There are many common misconceptions about systems engineering, but it provides value through a holistic, big-picture thinking style and enabling complex problems to be addressed and transformations delivered through the life of a project.
Aspect-Oriented Programming (AOP) provides new constructs and concepts to handle secondary requirements in applications. Secondary requirements, i.e. crosscutting concerns, of the Internet of things (IoT) applications is inherited from the nature of the complexity of interactions, and implementation crosscutting concerns over core IoT architecture. Realizing the full potential of the IoT application requires a new abstraction design technique. This paper proposes an abstract class element toward a design approach to providing better means better separation of concerns. The proposed approach is accompanied by gathering relevant contextual properties pertaining to the environment of IoT interactions. A new architectural aspect-aware definition is proposed for tracking the logic of interaction characteristics on the IoT components being designed.
The document discusses the differences between analysis modeling and design engineering/modeling. Analysis involves understanding a problem, while design focuses on creating a solution. Models can be used to better understand problems in analysis or solutions in design. The key aspects of design engineering are then outlined, including translating requirements into a software blueprint, iterating on the design, and ensuring quality through guidelines such as modularity, information hiding, and functional independence. Common design concepts like abstraction, architecture, patterns, and classes are also explained.
Senstivity Analysis of Project Scheduling using Fuzzy Set TheoryIRJET Journal
This document discusses using fuzzy set theory to analyze delays in construction project scheduling. It presents fuzzy logic as an approach to estimate delays using linguistic values for factors like weather (good, medium, bad) and labor experience (high, medium, low). These membership values can help determine the total effect on project duration from different reasons. This technique allows understanding total delay through critical path method and program evaluation review technique. The main advantage is this approach can be implemented in existing computer programs for project scheduling to consider delays from external factors.
Software Engineering Patterns for Machine Learning ApplicationsHironori Washizaki
Hironori Washizaki, Software Engineering Patterns for Machine Learning Applications, 2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI 2021), Keynote, August 28, Online, 2021.
This document provides an overview of systems analysis and design. It discusses the key phases of the systems development life cycle including planning, analysis, design, and implementation. It also describes various structured analysis tools used during the analysis phase like data flow diagrams, data dictionaries, and decision tables. The document outlines different design strategies and techniques for input, output, and forms design. It emphasizes the importance of testing and quality assurance activities.
Hironori Washizaki, Atsuo Hazeyama, Takao Okubo, Hideyuki Kanuka, Shinpei Ogata, Nobukazu Yoshioka, “Analysis of IoT Pattern Descriptions,” 2021 IEEE/ACM 3rd International Workshop on Software Engineering Research and Practices for the IoT (SERP4IoT 2021) , co-located with the 43rd ACM/IEEE International Conference on Software Engineering (ICSE 2021), June 3, 2021, online.
Pervasive Computing Reference Architecture from a Software Engineering Perspe...Osama M. Khaled
The thesis introduces a new reference architecture in the PervComp domain which was developed using a novel requirements engineering method. It also introduces a novel statistical method for tradeoff analysis and conflict resolution between the requirements. The adaptation of the activity theory, human perception theory and process re-engineering methods to develop the BRA and the TRA proved to be very successful. Our approach to reuse the ontological dictionary to monitor the system performance was also innovative. Finally, the thesis evaluation methods represent a role model for researchers on how to use both qualitative and quantitative methods to evaluate a reference architecture.
Our results show that the requirements engineering process along with the trade-off analysis were very important to deliver the PervCompRA-SE. We discovered that the invisibility feature, which was one of the envisioned quality features for the PervComp, is demolished and that the qualitative evaluation methods were just as important as the quantitative evaluation methods in order to recognize the overall quality of the RA by machines as well as by human beings.
https://www.researchgate.net/publication/316628680_Pervasive_Computing_Reference_Architecture_from_a_Software_Engineering_Perspective?ev=prf_high
Towards an integrated set of design tools based on a common data format for b...Ken Hew, Ph.D., CISA
This document discusses developing an integrated set of design tools based on a common data format to facilitate sharing of building and services design information. It aims to improve the traditionally fragmented design process by enabling interactive sharing of multi-disciplinary design data from early stages. The proposed approach represents the design process and needed information as 3D digital models that can interface with analysis software, allowing thermal data to inform architectural design decisions earlier. Preliminary research observed limitations of existing discrete tools that do not effectively coordinate or exchange data between disciplines during design.
Managing Complexity and Change with Scalable Software Designlbergmans
This is a presentation I gave to a group of IT managers. It explains what 'scalable design' is about, discusses its motivations by a number of facts and figures about software development, and illustrates the approach through a real-world case.
These slides present the needs, challenges, and opportunities in architecture description languages. They have been presented at the Empirical Software Engineering unit, at the University of Bolzano.
The presentation starts with an introduction to software architecture, then presents some challenges and opportunities in architecture description languages.
Presented at the Intel Global IoT DevFest (Oct 2017)
- Real-world use cases: healthcare, building management, retail, smart cities, transportation
- Time-series analysis
- AI / ML overview & applications
Systems Analysis,
Systems Design,
Systems Modelling,
Systems Architecture,
System Development and Testing,
System Maintenance and Evolution,
SDLC example (Cloud Service life cycle)
EARLY STAGE SOFTWARE DEVELOPMENT EFFORT ESTIMATIONS – MAMDANI FIS VS NEURAL N...cscpconf
Accurately estimating the software size, cost, effort and schedule is probably the biggest
challenge facing software developers today. It has major implications for the management of
software development because both the overestimates and underestimates have direct impact for
causing damage to software companies. Lot of models have been proposed over the years by
various researchers for carrying out effort estimations. Also some of the studies for early stage
effort estimations suggest the importance of early estimations. New paradigms offer alternatives
to estimate the software development effort, in particular the Computational Intelligence (CI)
that exploits mechanisms of interaction between humans and processes domain
knowledge with the intention of building intelligent systems (IS). Among IS,
Artificial Neural Network and Fuzzy Logic are the two most popular soft computing techniques
for software development effort estimation. In this paper neural network models and Mamdani
FIS model have been used to predict the early stage effort estimations using the student dataset.
It has been found that Mamdani FIS was able to predict the early stage efforts more efficiently in
comparison to the neural network models based models.
Application of VLSI In Artificial IntelligenceIOSR Journals
This document discusses the application of VLSI (Very Large Scale Integrated) circuits in artificial intelligence. It begins with a brief history of the development of microelectronics and integrated circuits. It then provides definitions of artificial intelligence and describes how VLSI technology has enabled more powerful computer architectures for AI. The document focuses on how expert systems, which apply reasoning to knowledge bases, have been important early applications of AI to VLSI chip design. It provides examples of expert systems used for tasks like circuit simulation and assisting with VLSI design. In closing, it emphasizes that knowledge-based approaches using rules have advantages for incremental improvements and explaining reasoning.
The document discusses the process of requirements engineering. It begins by defining requirements engineering as the process of defining, documenting, and maintaining requirements. It then outlines the key tasks in requirements engineering: inception, elicitation, elaboration, negotiation, specification, validation, and management. For each task, it provides details on the goals and steps involved. Overall, the document provides a comprehensive overview of requirements engineering and the various activities that comprise the process.
A Study on Project Planning Using the Deterministic and Probabilistic Models ...IJERA Editor
Project planning is the important task in many areas like construction, resource allocation and many. A sequence of activities has to be performed to complete one task. Each activity has its unique processing time and all together to identify the critical activities which affect the completion of the project. In this paper the probabilistic and deterministic models to determine the project completion time and also the critical activities are considered. A case study on building construction project has been performed to demonstrate the application of the above said models. The two project scheduling namely PERT and CPM are used to determine numerically the different types of floating times of each activity and hence determined the critical path which plays an important role in the project completion time. Also a linear programing model has been developed to reduce the project completion time which optimize the resource allocation. To apply these techniques numerically the primary data from a housing project company in a metropolitan city has been taken, the network diagram of the activities involved in the building construction project has been drawn and the results are tabulated
This document discusses the impact of information technology in the field of civil engineering. It provides an overview of how IT helps with design and modeling through software like CAD, modeling uncertainties and variations. It also examines the role of IT in surveying large areas using techniques like GIS and remote sensing. Additionally, the document outlines how IT assists with project management through software like Primavera and helps with maintenance through tools that identify issues and automate reporting.
1) The document discusses various ways that artificial intelligence can be applied to different phases of the software engineering lifecycle, including requirements specification, design, coding, testing, and estimation.
2) It provides examples of using techniques like natural language processing to clarify requirements, knowledge graphs to manage requirements information, and computational intelligence for requirements prioritization.
3) For design, the document discusses using intelligent agents to recommend patterns and designs to satisfy quality attributes from requirements and assist with assigning responsibilities to components.
Architectural approaches for implementing Clinical Decision Support Systems i...Luis Felipe Tabares Pérez
This document presents the results of a systematic literature review on architectural approaches for implementing clinical decision support systems in the cloud. The review identified 12 primary studies and analyzed them based on their proposed architectural approach, contributions of cloud computing, challenges, application area, type of clinical decision support, quality attributes, and data sources. Common findings included the use of three main components - a knowledge database, inference engine, and interface server. Key challenges were performance, compatibility and reliability, while security and privacy were main concerns. There was also a lack of formalism in software engineering practices and rigor in defining cloud-based approaches.
The document discusses the systems development life cycle approach to developing information systems. It involves defining the problem, designing alternative solutions, selecting and implementing a solution, and monitoring/evaluating results. Key aspects include conducting a feasibility study in systems investigation, performing requirements analysis and logical/physical design in systems analysis/design, implementing the design, and maintaining the system based on evaluation. The goal is to take a systematic, interdependent approach to conceptualizing and solving business problems through information system solutions.
Studying Software Engineering Patterns for Designing Machine Learning SystemsHironori Washizaki
Hironori Washizaki, Hiromu Uchida, Foutse Khomh and Yann-Gaël Guéhéneuc, “Studying Software Engineering Patterns for Designing Machine Learning Systems,” The 10th International Workshop on Empirical Software Engineering in Practice (IWESEP 2019), Tokyo, Japan, on December 13-14, 2019.
1. Systems engineering is an interdisciplinary approach that focuses on designing and managing complex systems as a whole rather than individual parts. It involves considering all aspects of a problem and relating technical and social factors.
2. A system is made up of interacting elements that work together to achieve specific purposes. Systems engineering is concerned with both the internal structure of a system's components and interactions, as well as a system's external relationships.
3. There are many common misconceptions about systems engineering, but it provides value through a holistic, big-picture thinking style and enabling complex problems to be addressed and transformations delivered through the life of a project.
Aspect-Oriented Programming (AOP) provides new constructs and concepts to handle secondary requirements in applications. Secondary requirements, i.e. crosscutting concerns, of the Internet of things (IoT) applications is inherited from the nature of the complexity of interactions, and implementation crosscutting concerns over core IoT architecture. Realizing the full potential of the IoT application requires a new abstraction design technique. This paper proposes an abstract class element toward a design approach to providing better means better separation of concerns. The proposed approach is accompanied by gathering relevant contextual properties pertaining to the environment of IoT interactions. A new architectural aspect-aware definition is proposed for tracking the logic of interaction characteristics on the IoT components being designed.
The document discusses the differences between analysis modeling and design engineering/modeling. Analysis involves understanding a problem, while design focuses on creating a solution. Models can be used to better understand problems in analysis or solutions in design. The key aspects of design engineering are then outlined, including translating requirements into a software blueprint, iterating on the design, and ensuring quality through guidelines such as modularity, information hiding, and functional independence. Common design concepts like abstraction, architecture, patterns, and classes are also explained.
Senstivity Analysis of Project Scheduling using Fuzzy Set TheoryIRJET Journal
This document discusses using fuzzy set theory to analyze delays in construction project scheduling. It presents fuzzy logic as an approach to estimate delays using linguistic values for factors like weather (good, medium, bad) and labor experience (high, medium, low). These membership values can help determine the total effect on project duration from different reasons. This technique allows understanding total delay through critical path method and program evaluation review technique. The main advantage is this approach can be implemented in existing computer programs for project scheduling to consider delays from external factors.
Software Engineering Patterns for Machine Learning ApplicationsHironori Washizaki
Hironori Washizaki, Software Engineering Patterns for Machine Learning Applications, 2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI 2021), Keynote, August 28, Online, 2021.
This document provides an overview of systems analysis and design. It discusses the key phases of the systems development life cycle including planning, analysis, design, and implementation. It also describes various structured analysis tools used during the analysis phase like data flow diagrams, data dictionaries, and decision tables. The document outlines different design strategies and techniques for input, output, and forms design. It emphasizes the importance of testing and quality assurance activities.
Hironori Washizaki, Atsuo Hazeyama, Takao Okubo, Hideyuki Kanuka, Shinpei Ogata, Nobukazu Yoshioka, “Analysis of IoT Pattern Descriptions,” 2021 IEEE/ACM 3rd International Workshop on Software Engineering Research and Practices for the IoT (SERP4IoT 2021) , co-located with the 43rd ACM/IEEE International Conference on Software Engineering (ICSE 2021), June 3, 2021, online.
Pervasive Computing Reference Architecture from a Software Engineering Perspe...Osama M. Khaled
The thesis introduces a new reference architecture in the PervComp domain which was developed using a novel requirements engineering method. It also introduces a novel statistical method for tradeoff analysis and conflict resolution between the requirements. The adaptation of the activity theory, human perception theory and process re-engineering methods to develop the BRA and the TRA proved to be very successful. Our approach to reuse the ontological dictionary to monitor the system performance was also innovative. Finally, the thesis evaluation methods represent a role model for researchers on how to use both qualitative and quantitative methods to evaluate a reference architecture.
Our results show that the requirements engineering process along with the trade-off analysis were very important to deliver the PervCompRA-SE. We discovered that the invisibility feature, which was one of the envisioned quality features for the PervComp, is demolished and that the qualitative evaluation methods were just as important as the quantitative evaluation methods in order to recognize the overall quality of the RA by machines as well as by human beings.
https://www.researchgate.net/publication/316628680_Pervasive_Computing_Reference_Architecture_from_a_Software_Engineering_Perspective?ev=prf_high
Towards an integrated set of design tools based on a common data format for b...Ken Hew, Ph.D., CISA
This document discusses developing an integrated set of design tools based on a common data format to facilitate sharing of building and services design information. It aims to improve the traditionally fragmented design process by enabling interactive sharing of multi-disciplinary design data from early stages. The proposed approach represents the design process and needed information as 3D digital models that can interface with analysis software, allowing thermal data to inform architectural design decisions earlier. Preliminary research observed limitations of existing discrete tools that do not effectively coordinate or exchange data between disciplines during design.
Managing Complexity and Change with Scalable Software Designlbergmans
This is a presentation I gave to a group of IT managers. It explains what 'scalable design' is about, discusses its motivations by a number of facts and figures about software development, and illustrates the approach through a real-world case.
These slides present the needs, challenges, and opportunities in architecture description languages. They have been presented at the Empirical Software Engineering unit, at the University of Bolzano.
The presentation starts with an introduction to software architecture, then presents some challenges and opportunities in architecture description languages.
Presented at the Intel Global IoT DevFest (Oct 2017)
- Real-world use cases: healthcare, building management, retail, smart cities, transportation
- Time-series analysis
- AI / ML overview & applications
Systems Analysis,
Systems Design,
Systems Modelling,
Systems Architecture,
System Development and Testing,
System Maintenance and Evolution,
SDLC example (Cloud Service life cycle)
EARLY STAGE SOFTWARE DEVELOPMENT EFFORT ESTIMATIONS – MAMDANI FIS VS NEURAL N...cscpconf
Accurately estimating the software size, cost, effort and schedule is probably the biggest
challenge facing software developers today. It has major implications for the management of
software development because both the overestimates and underestimates have direct impact for
causing damage to software companies. Lot of models have been proposed over the years by
various researchers for carrying out effort estimations. Also some of the studies for early stage
effort estimations suggest the importance of early estimations. New paradigms offer alternatives
to estimate the software development effort, in particular the Computational Intelligence (CI)
that exploits mechanisms of interaction between humans and processes domain
knowledge with the intention of building intelligent systems (IS). Among IS,
Artificial Neural Network and Fuzzy Logic are the two most popular soft computing techniques
for software development effort estimation. In this paper neural network models and Mamdani
FIS model have been used to predict the early stage effort estimations using the student dataset.
It has been found that Mamdani FIS was able to predict the early stage efforts more efficiently in
comparison to the neural network models based models.
Application of VLSI In Artificial IntelligenceIOSR Journals
This document discusses the application of VLSI (Very Large Scale Integrated) circuits in artificial intelligence. It begins with a brief history of the development of microelectronics and integrated circuits. It then provides definitions of artificial intelligence and describes how VLSI technology has enabled more powerful computer architectures for AI. The document focuses on how expert systems, which apply reasoning to knowledge bases, have been important early applications of AI to VLSI chip design. It provides examples of expert systems used for tasks like circuit simulation and assisting with VLSI design. In closing, it emphasizes that knowledge-based approaches using rules have advantages for incremental improvements and explaining reasoning.
The document discusses the process of requirements engineering. It begins by defining requirements engineering as the process of defining, documenting, and maintaining requirements. It then outlines the key tasks in requirements engineering: inception, elicitation, elaboration, negotiation, specification, validation, and management. For each task, it provides details on the goals and steps involved. Overall, the document provides a comprehensive overview of requirements engineering and the various activities that comprise the process.
A Study on Project Planning Using the Deterministic and Probabilistic Models ...IJERA Editor
Project planning is the important task in many areas like construction, resource allocation and many. A sequence of activities has to be performed to complete one task. Each activity has its unique processing time and all together to identify the critical activities which affect the completion of the project. In this paper the probabilistic and deterministic models to determine the project completion time and also the critical activities are considered. A case study on building construction project has been performed to demonstrate the application of the above said models. The two project scheduling namely PERT and CPM are used to determine numerically the different types of floating times of each activity and hence determined the critical path which plays an important role in the project completion time. Also a linear programing model has been developed to reduce the project completion time which optimize the resource allocation. To apply these techniques numerically the primary data from a housing project company in a metropolitan city has been taken, the network diagram of the activities involved in the building construction project has been drawn and the results are tabulated
This document discusses the impact of information technology in the field of civil engineering. It provides an overview of how IT helps with design and modeling through software like CAD, modeling uncertainties and variations. It also examines the role of IT in surveying large areas using techniques like GIS and remote sensing. Additionally, the document outlines how IT assists with project management through software like Primavera and helps with maintenance through tools that identify issues and automate reporting.
1) The document discusses various ways that artificial intelligence can be applied to different phases of the software engineering lifecycle, including requirements specification, design, coding, testing, and estimation.
2) It provides examples of using techniques like natural language processing to clarify requirements, knowledge graphs to manage requirements information, and computational intelligence for requirements prioritization.
3) For design, the document discusses using intelligent agents to recommend patterns and designs to satisfy quality attributes from requirements and assist with assigning responsibilities to components.
The document discusses a digital twin-based approach for designing flow-type smart manufacturing systems in Industry 4.0 contexts. It proposes a quad-play CMCO (Configuration-Motion-Control-Optimization) design architecture that models the configuration, motion, control and optimization of manufacturing systems in an iterative manner. A key part of this approach is using digital twin technology to create cyber models that mirror physical systems, enabling hardware-in-the-loop simulation during design to avoid costly reconfigurations later. The document then presents an initial prototype of a Digital Twin System platform for implementing this digital twin-based manufacturing system design approach.
The document discusses the role and structure of enterprise architecture. Enterprise architecture provides a conceptual blueprint that defines an organization's structure and operations, with the goal of helping an organization effectively achieve its current and future goals. It examines the current state, helps develop and evaluate designs, and creates a vision for the future. Popular enterprise architecture frameworks include the Zachman Framework and TOGAF, which provide standardized approaches to understanding an organization holistically.
International journal of engineering issues vol 2015 - no 2 - paper4sophiabelthome
This document discusses modeling cyber-physical systems for engineering complex software. It proposes using geometric algebra and grammar of graphics to provide better visualization of cyber-physical systems. The key points are:
1) Cyber-physical systems integrate computation, networking, and physical processes. They are complex software systems that connect various sub-systems.
2) Geometric algebra and grammar of graphics can provide a mathematical approach to model the dynamics of cyber-physical systems. This allows better visualization of interconnected elements, feedback processes, and emergent behaviors.
3) Geometric algebra represents geometric objects algebraically rather than through equations. This provides a unified language for engineering disciplines and aspects of computer science like graphics.
The document describes a proposed web-based student assessment data processing system using the CodeIgniter framework. The system aims to address issues with the current semi-computerized assessment process at SMK Negeri 1 Pandeglang, including errors during data entry and a time-consuming report generation process. The proposed system was analyzed using SWOT and other methods. It would feature a teacher interface to enter grades and an admin interface to manage data masters. Diagrams including use case, activity, class, and sequence diagrams were created to design the system's functionality and interactions. The system aims to streamline the assessment process and make it more efficient.
Bhadale group of companies cross- discipline engineering catalogueVijayananda Mohire
We offer planning, analysis, requirements management assistance for cross- engineering disciplines.We use Design Engineering guides from IET, INCOSE, CMMI,PMI, ISO standards and engineering codes ,HIPAA, SOX, GDPR, HFMEA HACCP and FMEA
BitLocker is drive encryption software included with Windows that encrypts the entire contents of the drive to protect against unauthorized access to data even if the drive is removed from the device. It stores the encryption key in the computer's Trusted Platform Module (TPM) chip or on an external USB drive for added security. BitLocker requires a Trusted Platform Module version 1.2 or higher, or the ability to store the recovery key on an external drive in order to encrypt the system drive.
Cognitive engineering is the analysis, modeling, design, and evaluation of complex sociotechnical systems with a focus on cognitive processes. It emerged in the 1970s with developments in cognitive psychology and artificial intelligence. The objective of cognitive engineering is to improve performance on cognitive tasks through designing effective support systems based on principles of human cognition and engineering design. Key methods in cognitive engineering include cognitive task analysis, cognitive work analysis, and modeling cognitive processes, behavioral processes, and human-machine systems. Cognitive engineering has applications in areas like human-computer interaction, neuroergonomics, and the design of systems like aircraft cockpits. Artificial intelligence can also be used to develop and test models of human cognition within cognitive engineering.
A Survey of Building Robust Business Models in Pervasive ComputingOsama M. Khaled
Pervasive computing is one of the most challenging and difficult computing domains nowadays. It includes many architectural challenges like context awareness, adaptability, mobility, availability, and scalability. There are currently few approaches which provide methodologies to build suitable architectural models that are more suited to the nature of the pervasive domain. This area still needs a lot of enhancements in order to let the software business analyst (BA) cognitively handle pervasive applications by using suitable tasks and tools. Accordingly, any proposed research topic that would attempt to define a development methodology can greatly help BAs in modeling pervasive applications with high efficiency. In this survey paper we address some of the most significant and current software engineering practices that are proving to be most effective in building pervasive systems.
For citation:
Osama M. Khaled and Hoda M. Hosny. A Survey of Building Robust Business Models in Pervasive Computing. An accepted paper in the 2014 World Congress in Computer Science Computer Engineering and Applied Computing
Continuity in the development of seamless mobility: An approach for a system-...IRJET Journal
This document discusses approaches to enable continuity and traceability in interdisciplinary product development for systems-of-systems (SoS) environments. It addresses the challenges of developing complex, interconnected systems where independent teams use various tools and methods.
The document presents three approaches: 1) A classification of four dimensions of continuity in product engineering to address consistency across levels of detail, temporal changes, different projects, and partial models. 2) The KaRDF and Vitruvius methods for consistently modeling heterogeneous development artifacts using semantic technologies. 3) A methodology based on SPALTEN problem-solving processes to support management of changes in distributed development.
Integrating these approaches would support distributed development of seamless mobility systems with high consistency
Things like growing volumes and varieties of available data, cheaper and more powerful computational processing, data storage and large-value predictions that can guide better decisions and smart actions in real time without human intervention are playing critical role in this age. All of these require models that can automatically analyse large complex data and deliver quick accurate results – even on a very large scale. Machine learning plays a significant role in developing these models. The applications of machine learning range from speech and object recognition to analysis and prediction of finance markets. Artificial Neural Network is one of the important algorithms of machine learning that is inspired by the structure and functional aspects of the biological neural networks. In this paper, we discuss the purpose, representation and classification methods for developing hardware for machine learning with the main focus on neural networks. This paper also presents the requirements, design issues and optimization techniques for building hardware architecture of neural networks.
Things like growing volumes and varieties of available data, cheaper and more powerful computational processing, data storage and large-value predictions that can guide better decisions and smart actions inreal time without human intervention are playing critical role in this age. All of these require models thatcan automatically analyse large complex data and deliver quick accurate results – even on a very largescale. Machine learning plays a significant role in developing these models. The applications of machinelearning range from speech and object recognition to analysis and prediction of finance markets. Artificial Neural Network is one of the important algorithms of machine learning that is inspired by the structure and functional aspects of the biological neural networks. In this paper, we discuss the purpose, representationand classification methods for developing hardware for machine learning with the main focus on neuralnetworks. This paper also presents the requirements, design issues and optimization techniques for buildinghardware architecture of neural networks.
The document introduces software architecture and architectural design. It discusses that architectural design is important for understanding how a software system should be organized. The objectives are to understand the importance of architecture, decisions made in the design process, and architectural patterns. It also covers topics like architectural views, patterns, and application architectures.
Significant Role of Statistics in Computational SciencesEditor IJCATR
This paper is focused on the issues related to optimizing statistical approaches in the emerging fields of Computer Science
and Information Technology. More emphasis has been given on the role of statistical techniques in modern data mining. Statistics is
the science of learning from data and of measuring, controlling, and communicating uncertainty. Statistical approaches can play a vital
role for providing significance contribution in the field of software engineering, neural network, data mining, bioinformatics and other
allied fields. Statistical techniques not only helps make scientific models but it quantifies the reliability, reproducibility and general
uncertainty associated with these models. In the current scenario, large amount of data is automatically recorded with computers and
managed with the data base management systems (DBMS) for storage and fast retrieval purpose. The practice of examining large preexisting
databases in order to generate new information is known as data mining. Presently, data mining has attracted substantial
attention in the research and commercial arena which involves applications of a variety of statistical techniques. Twenty years ago
mostly data was collected manually and the data set was in simple form but in present time, there have been considerable changes in
the nature of data. Statistical techniques and computer applications can be utilized to obtain maximum information with the fewest
possible measurements to reduce the cost of data collection.
IRJET- Search Improvement using Digital Thread in Data AnalyticsIRJET Journal
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.
A Machine learning based framework for Verification and Validation of Massive...IRJET Journal
This document presents a machine learning based framework for verification and validation of massive scale image data. It discusses the challenges of managing and analyzing large image datasets. The proposed framework uses techniques like data augmentation, feature extraction and selection, decision trees, cross-validation and test cases to systematically manage massive image data and validate machine learning algorithms and systems. It uses Cell Morphology Analysis (CMA) as a case study to demonstrate how the framework can verify and validate large datasets, software systems and algorithms. The effectiveness of the framework is shown through its application to CMA, which involves classifying cell images using machine learning.
Developing a gui based design software inLaukik Raut
In mechanical industry, design process requires more time because it is iterative process and requires
experienced people. We know that there are many CAD packages available in the market for design which demands
modeling skills. It has been observed that many research efforts have been made in the area of design automation like
integration of different CAD software like Creo Parametric, CATIA, SolidWorks with different computer
programming languages like Visual Basic, Java, C++.But it is observed that Visual Basic is having some advantages
over others like it will give us best frame work for product design input base as well as it can be easily interface with
intermediate software like MS-excel which provides an input to other modeling or analysis software and among all
available parametric modeling software Creo is widely used in industries. During the literature review, it is observed
that integration of GUI or tailor made software development using a computer programming language with modeling
software is done till now but further integration with analysis software is not done yet. This integration plays very
important role for design automation of complicated assemblies which will definitely save much time of product design
and development phase.
This paper examines the concept of Augmented reality and its various applications in civil engineering. The concept envisages reducing, or rather eliminating errors that creep in during construction process due to human and other technical errors. The concept of AR helps in recreating the architectural and structural drawings in actual scale on the field. This uses the techniques of holographic projections and other mobile applications to create a 3D image of the drawing. The Concept is to create an image of the structure as envisaged on the basis of calculations and compare it in real time with the actual construction, which can help in identifying errors quickly and efficiently.
Similar to IRJET- Application of Emerging Artificial Intelligence Methods in Structural Engineering-A Review (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Low power architecture of logic gates using adiabatic techniquesnooriasukmaningtyas
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.