The project aims to develop an autonomous robot to monitor air quality and radiation levels on a university campus. It will move indoors and outdoors, measuring pollution using various sensors. Data will be sent wirelessly to a monitoring station where personnel can track air quality in real time. The robot is designed to improve safety, lower monitoring costs, and increase awareness of air pollution issues. A team of students will complete the work over several packages, addressing hardware, software, testing and other components over a period of months.
This document presents a new technique for hardware bug triage during post-silicon validation. The technique uses a topology-aware approach to cluster test failure reports that are likely caused by a common root cause or bug. It extracts features from the failure reports and represents the hardware design as a graph to identify groups of related signals. These features are input to an unsupervised machine learning algorithm that clusters the failure reports. Evaluating the technique on an industrial design with injected bugs showed it increased verification efficiency by grouping related failures and avoiding duplicate debugging efforts.
Impact of GPS Signal Loss and Spoofing on Power System Synchrophasor Applicat...Luigi Vanfretti
This presentation shows an experimental assessesment of the impact of time synchronization spoofing attacks (TSSA) on synchrophasor-based Wide-Area Monitoring, Protection and Control applications. Phase Angle Monitoring (PAM), anti-islanding protection and power oscillation damping applications are investigated. TSSA are created using a real-time IRIG-B signal generator and power system models are executed using a real-time simulator with commercial phasor measurement units (PMUs) coupled to them as hardware-in-the-loop. Because PMUs utilize time synchronization signals to compute synchrophasors, an error in the PMUs’ time input introduces a proportional phase error in the voltage or current phase measurements provided by the PMU. The experiments conclude that a phase angle monitoring application will show erroneous power transfers, whereas the anti-islanding protection mal-operates and the damping controller introduces negative damping in the system as a result of the time synchronization error incurred in the PMUs due to TSSA.
The proposed test-bench and TSSA approach can be used to investigate the impact of TSSA on any WAMPAC application and to determine the time synchronization error threshold that can be tolerated by these WAMPAC applications.
Developing software analyzers tool using software reliability growth modelIAEME Publication
The document discusses developing a software analyzer tool using a software reliability growth model to improve software quality. It proposes an Enhanced Non-Homogeneous Poisson Process (ENHPP) model to estimate software reliability measures like remaining faults and failure rate. The ENHPP model explicitly incorporates a time-varying testing coverage function and allows for imperfect debugging and coverage changes over testing and operation. It is validated on real failure data sets and shown to provide better fit than existing models. The goal is to enhance code reusability, minimize test effort estimation and improve reliability through the testing phase of the software development life cycle.
Understanding fire and gas mapping softwareKenexis
The document discusses understanding fire and gas mapping software and EffigyTM. It begins by explaining the traditional "rule of thumb" approach to placing fire and gas detectors has led to inconsistent designs with poorly documented bases, making validation difficult. It then discusses how risk-based approaches using concepts like coverage targets have improved the process. Coverage can be geographic, based on detector range alone, or scenario-based, which considers where leaks may occur. EffigyTM software calculates both types of coverage to help users select and validate targets. It provides a comprehensive database of detector specifications and models coverage in 3D to account for real-world factors like non-centerline detector placement.
Catalogo general general electric geit 10012 en-rev6_finalPablo Bavarisco
GE's Inspection Technologies provides non-destructive testing (NDT) solutions for a variety of industries including oil and gas, aerospace, power generation, metals, and transportation. They offer modalities such as radiography, computed tomography, ultrasound, eddy current, and remote visual inspection. Combined with their Rhythm software, GE can provide accurate and reliable inspection data that can be securely shared worldwide.
Optimizing Fire3 and Gas System Design Using the ISA Technical Report ISA TR8...Kenexis
Fire and Gas Detection and Suppression Systems (FGS) have long been successfully employed as a safeguard in the process industries. Unfortunately, design methods for determining the quantity and placement of detectors have historically been less than satisfactory. Design practices based on rules of thumb and experiences have often resulted in design inconsistencies, and achievement of tolerable risk cannot be ascertained. Rule-based methods often place detectors where they are not needed and leave high risk areas unnecessarily exposed. ISA released technical report TR 84.00.07 to address this problem. This technical report explains the metrics, such as detector coverage, and techniques that can be applied to the design of FGS which results in optimal designs that are safer and more repeatable. This paper will provide an overview of the contents of the technical report, and also provide some case study examples that show how these performance-based methods result in superior designs to currently used techniques such as grid-based approaches.
IRJET- Cloud based Sewerage Monitoring and Predictive Maintenance using M...IRJET Journal
This document describes a proposed cloud-based system for monitoring sewerage infrastructure and enabling predictive maintenance through machine learning. The system uses an array of sensors attached to manhole covers to monitor factors like gas levels, temperature, pressure and water quality in real-time. This sensor data is transmitted wirelessly to a cloud server. Machine learning algorithms like principal component analysis and decision trees are applied to the sensor data to identify patterns and predict potential issues before they occur, facilitating proactive maintenance of sewer systems. The system aims to provide a low-cost and scalable solution for improving sewer infrastructure management.
The document describes a survey conducted on test automation maturity between December 2018 and June 2019. The survey received 151 responses from 101 organizations across 25 countries. The survey aimed to understand the current state of practice regarding test automation processes and maturity. Key findings from the survey include: 1) organizations demonstrated varying levels of maturity depending on the practices adopted; 2) responses showed diverse situations regarding different practices, such as 85% having sufficient skills but 47% lacking guidelines; 3) some practices were strongly correlated or clustered; 4) factors like percentage of automated tests and use of agile/DevOps indicated higher maturity; 5) practitioner roles like QA engineers and consultants showed differing response variations. The survey provides insight into present test automation and opportunities for improvement
This document presents a new technique for hardware bug triage during post-silicon validation. The technique uses a topology-aware approach to cluster test failure reports that are likely caused by a common root cause or bug. It extracts features from the failure reports and represents the hardware design as a graph to identify groups of related signals. These features are input to an unsupervised machine learning algorithm that clusters the failure reports. Evaluating the technique on an industrial design with injected bugs showed it increased verification efficiency by grouping related failures and avoiding duplicate debugging efforts.
Impact of GPS Signal Loss and Spoofing on Power System Synchrophasor Applicat...Luigi Vanfretti
This presentation shows an experimental assessesment of the impact of time synchronization spoofing attacks (TSSA) on synchrophasor-based Wide-Area Monitoring, Protection and Control applications. Phase Angle Monitoring (PAM), anti-islanding protection and power oscillation damping applications are investigated. TSSA are created using a real-time IRIG-B signal generator and power system models are executed using a real-time simulator with commercial phasor measurement units (PMUs) coupled to them as hardware-in-the-loop. Because PMUs utilize time synchronization signals to compute synchrophasors, an error in the PMUs’ time input introduces a proportional phase error in the voltage or current phase measurements provided by the PMU. The experiments conclude that a phase angle monitoring application will show erroneous power transfers, whereas the anti-islanding protection mal-operates and the damping controller introduces negative damping in the system as a result of the time synchronization error incurred in the PMUs due to TSSA.
The proposed test-bench and TSSA approach can be used to investigate the impact of TSSA on any WAMPAC application and to determine the time synchronization error threshold that can be tolerated by these WAMPAC applications.
Developing software analyzers tool using software reliability growth modelIAEME Publication
The document discusses developing a software analyzer tool using a software reliability growth model to improve software quality. It proposes an Enhanced Non-Homogeneous Poisson Process (ENHPP) model to estimate software reliability measures like remaining faults and failure rate. The ENHPP model explicitly incorporates a time-varying testing coverage function and allows for imperfect debugging and coverage changes over testing and operation. It is validated on real failure data sets and shown to provide better fit than existing models. The goal is to enhance code reusability, minimize test effort estimation and improve reliability through the testing phase of the software development life cycle.
Understanding fire and gas mapping softwareKenexis
The document discusses understanding fire and gas mapping software and EffigyTM. It begins by explaining the traditional "rule of thumb" approach to placing fire and gas detectors has led to inconsistent designs with poorly documented bases, making validation difficult. It then discusses how risk-based approaches using concepts like coverage targets have improved the process. Coverage can be geographic, based on detector range alone, or scenario-based, which considers where leaks may occur. EffigyTM software calculates both types of coverage to help users select and validate targets. It provides a comprehensive database of detector specifications and models coverage in 3D to account for real-world factors like non-centerline detector placement.
Catalogo general general electric geit 10012 en-rev6_finalPablo Bavarisco
GE's Inspection Technologies provides non-destructive testing (NDT) solutions for a variety of industries including oil and gas, aerospace, power generation, metals, and transportation. They offer modalities such as radiography, computed tomography, ultrasound, eddy current, and remote visual inspection. Combined with their Rhythm software, GE can provide accurate and reliable inspection data that can be securely shared worldwide.
Optimizing Fire3 and Gas System Design Using the ISA Technical Report ISA TR8...Kenexis
Fire and Gas Detection and Suppression Systems (FGS) have long been successfully employed as a safeguard in the process industries. Unfortunately, design methods for determining the quantity and placement of detectors have historically been less than satisfactory. Design practices based on rules of thumb and experiences have often resulted in design inconsistencies, and achievement of tolerable risk cannot be ascertained. Rule-based methods often place detectors where they are not needed and leave high risk areas unnecessarily exposed. ISA released technical report TR 84.00.07 to address this problem. This technical report explains the metrics, such as detector coverage, and techniques that can be applied to the design of FGS which results in optimal designs that are safer and more repeatable. This paper will provide an overview of the contents of the technical report, and also provide some case study examples that show how these performance-based methods result in superior designs to currently used techniques such as grid-based approaches.
IRJET- Cloud based Sewerage Monitoring and Predictive Maintenance using M...IRJET Journal
This document describes a proposed cloud-based system for monitoring sewerage infrastructure and enabling predictive maintenance through machine learning. The system uses an array of sensors attached to manhole covers to monitor factors like gas levels, temperature, pressure and water quality in real-time. This sensor data is transmitted wirelessly to a cloud server. Machine learning algorithms like principal component analysis and decision trees are applied to the sensor data to identify patterns and predict potential issues before they occur, facilitating proactive maintenance of sewer systems. The system aims to provide a low-cost and scalable solution for improving sewer infrastructure management.
The document describes a survey conducted on test automation maturity between December 2018 and June 2019. The survey received 151 responses from 101 organizations across 25 countries. The survey aimed to understand the current state of practice regarding test automation processes and maturity. Key findings from the survey include: 1) organizations demonstrated varying levels of maturity depending on the practices adopted; 2) responses showed diverse situations regarding different practices, such as 85% having sufficient skills but 47% lacking guidelines; 3) some practices were strongly correlated or clustered; 4) factors like percentage of automated tests and use of agile/DevOps indicated higher maturity; 5) practitioner roles like QA engineers and consultants showed differing response variations. The survey provides insight into present test automation and opportunities for improvement
Impact Of Extreme Events On Nuclear Facilities, Charles Shepherdjasbircra
Presentation entitled \'Impact Of Extreme Events On Nuclear Facilities\', delivered by Charles Shepherd of CRA at the 2011 PSA/HFA Forum.
To download this presentation and others delivered at the event, please visit: http://www.corporateriskassociates.com/psa-hfa-annual-forum/
Methodical Design of Vibration Energy Harvesting SystemsDirk Mayer
The document discusses a methodical design process for vibration energy harvesting systems used at Fraunhofer LBF. The process begins with estimating the available vibration energy and its spectral characteristics. Then, the energy harvesting system and its key components are designed based on the available vibration energy, electrical energy demand, and mechanical loads. Finally, operational and durability tests are conducted in the laboratory. The design process aims to iteratively validate the system performance through testing at various stages from concept to deployment.
The winter months of November and December 2015 show higher number of days in severe category-four times the safe standard - which is the worst category according to the National Air Quality Index. There has not been a single good air quality day this winter.
You can predict software reliability before the code is even finished. Predictions support planning, sensitivity analysis and also help to avoid distressed software projects and defect pile up.
The document is a test report for Check Point's 13500 Next Generation Threat Prevention Appliance with Threat Emulation Cloud Service R77.20. The summary is:
The Check Point appliance detected 97.2% of malware and exploits with a tested throughput of 1,000 Mbps. It detected all malware delivered via HTTP, email, and SMB protocols as well as 100% of drive-by exploits and social exploits. The appliance resisted 94.2% of evasion techniques and passed all stability and reliability tests.
The document proposes deriving green metrics for software by systematically mapping sustainability assets, direct effects, green factors, and an entity-attribute-measure taxonomy. It presents sustainability assets like people, infrastructure, processes, and products that influence direct effects like power waste, effort waste, and material waste. Green factors that impact direct effects are then identified. Finally, example green metrics are defined using the entity-attribute-measure structure and mapped to green factors to allow monitoring of software sustainability performance. The metrics provide a starting point to help organizations deploy and control sustainability-related processes.
IRJET- Real Time Water Monitoring SystemIRJET Journal
The document describes the development of a real-time water monitoring system that uses sensors to measure parameters like turbidity, dissolved oxygen, temperature, and conductivity of water samples. The system transmits sensor data wirelessly to a transmitter and cloud server to allow for remote monitoring. Test results showed changes in water parameter levels in response to added impurities, demonstrating the system's ability to detect changes in water quality over time.
This session will demonstrate a new approach to LIMS implementations eliminates the complexities, excessive customization and lengthy associated validation requirements inherent with legacy LIMS—offering fast, “out-of-the-box” deployment capabilities, no custom coding, easy integration into existing software platforms and enterprise-wide data management capabilities.
Each Accelrys LIMS application comes with Workflow Editors that eliminate traditional software custom-coding processes, enabling your own internal system administrator to deploy needed applications, workflows and procedures using a simple drag-and-drop process and dialog interface.
When finished with the workflow editing, a single mouse click generates a complete validation document for the application, workflow or procedure created. Built-in compliance at the “core technology” level turns qualification/validation into a simple, fast document review with no need for external validation consultants, even in regulated environments.
This document is an introduction to software testing that discusses why testing is important and what activities are involved in testing. It notes that software is ubiquitous and critical in many applications, and failures can have huge financial and safety impacts. More testing is needed due to increased expectations for reliability, larger and more complex software, and new platforms like the web. The goal is to help reduce risks and costs from failures through systematic testing approaches.
Four things that are almost guaranteed to reduce the reliability of a softwa...Ann Marie Neufelder
Distressed software projects typically have at least one of the 4 risks shown in the presentation. Avoiding these 4 things is the first step in ensuring software reliability.
Frequently the most immediate financial return we can get from gathering data from things (and making decisions on that data) is from existing installed assets, rather than new build projects. The problem is that those assets often have not been designed or installed with monitoring in mind.
This talk examines such a project in the Electricity Distribution business, and the critical challenges imposed by dealing with the practical problems of what is already installed, rather than assuming a clean sheet of paper.
Software Reliability is the probability of failure-free software operation for a specified period of time in a specified environment. Software Reliability is also an important factor affecting system reliability. ... The high complexity of software is the major contributing factor of Software Reliability problems.
This document provides information about a large steel structure engineering company in Southern China. It discusses the company's profile, including its registered address, capital, establishment date, annual turnover, production area and capacities. It also describes the company's qualifications, equipment, workshops, production capabilities and staff. The company has national and international qualifications for steel structure jobs. It has modern manufacturing equipment, large workshop areas and produces a variety of steel structure products for buildings, bridges and equipment.
This document introduces the Bianco Node, a modular air quality monitoring and control system. It discusses problems with existing technologies like lack of automation, awareness and security measures. The Bianco Node aims to address these issues through an intelligent, fault-tolerant and reliable system that allows adding sensor modules as needed. It promises benefits like improved work environments, productivity, costs, emergency response times and air quality through real-time monitoring and automation.
Zero Wait-State is an expert in implementing Oracle's Product Lifecycle Management (PLM) platform and tailoring it to support customers' business models and initiatives. They have experience implementing key PLM modules like Product Governance & Compliance, Engineering Collaboration, and tools that automate importing supplier and product information to streamline compliance. Their team of industry experts can help customers efficiently comply with regulations regarding conflict minerals, hazardous materials, and other issues.
The document summarizes a student's media evaluation project creating a magazine called "Stream" celebrating chart music. Some key points:
1) The student used conventions like consistent color schemes, layouts, and barcodes from real magazines. Fonts, image composition, language were also developed.
2) The magazine represents youth through its bright colors, complex language, and focus on chart music appealing to teenagers.
3) Bauer magazine would be a good distributor as it already publishes music magazines and offers advertising opportunities needed for the magazine to be unique and widely distributed.
4) The target audiences are 19-year old male student and 22-year old female retail worker interested in music, fashion, and
The document compares and contrasts the representations of various social groups in a media product. It analyzes the characters of Damian, Edward, Steve, Maurice, and DCI Brown. It notes that Damian, as a quiet and distant working class college student, conforms to stereotypes of someone who is "on the brinks of society." Edward, as an anxious private school student, suggests sympathy as the weakest character. Steve, an unemployed dropout, is portrayed as unlikable with a negative atmosphere. Maurice, a relaxed sixth form student, creates a positive rapport as the "coolest" person. DCI Brown, a serious skilled working class detective, suggests a high sense of authority as he seeks justice
El poema habla sobre un amor no correspondido. La persona le pide a su amada que tome su mano para huir de la oscuridad y bailar juntos, aunque sabe que ella podría seguir pensando en alguien más. Le dice que encontrará el amor y el valor que necesita en su interior, y que él la amará para siempre a pesar de que ahora no esté interesada.
Lead Designer for Clearly Innovative breaks down pros and cons of her favorite websites for UI and UX inspiration.
Based on this blog:
http://www.clearlyinnovative.com/8-resources-for-ux-ui-inspiration
This document discusses the concepts of freedom, order, and equality in Cuba. It covers national freedom, political freedom, individual freedom, economic freedom, and equality. Order is also addressed. The document provides information on these concepts and links to move between sections on each topic.
Impact Of Extreme Events On Nuclear Facilities, Charles Shepherdjasbircra
Presentation entitled \'Impact Of Extreme Events On Nuclear Facilities\', delivered by Charles Shepherd of CRA at the 2011 PSA/HFA Forum.
To download this presentation and others delivered at the event, please visit: http://www.corporateriskassociates.com/psa-hfa-annual-forum/
Methodical Design of Vibration Energy Harvesting SystemsDirk Mayer
The document discusses a methodical design process for vibration energy harvesting systems used at Fraunhofer LBF. The process begins with estimating the available vibration energy and its spectral characteristics. Then, the energy harvesting system and its key components are designed based on the available vibration energy, electrical energy demand, and mechanical loads. Finally, operational and durability tests are conducted in the laboratory. The design process aims to iteratively validate the system performance through testing at various stages from concept to deployment.
The winter months of November and December 2015 show higher number of days in severe category-four times the safe standard - which is the worst category according to the National Air Quality Index. There has not been a single good air quality day this winter.
You can predict software reliability before the code is even finished. Predictions support planning, sensitivity analysis and also help to avoid distressed software projects and defect pile up.
The document is a test report for Check Point's 13500 Next Generation Threat Prevention Appliance with Threat Emulation Cloud Service R77.20. The summary is:
The Check Point appliance detected 97.2% of malware and exploits with a tested throughput of 1,000 Mbps. It detected all malware delivered via HTTP, email, and SMB protocols as well as 100% of drive-by exploits and social exploits. The appliance resisted 94.2% of evasion techniques and passed all stability and reliability tests.
The document proposes deriving green metrics for software by systematically mapping sustainability assets, direct effects, green factors, and an entity-attribute-measure taxonomy. It presents sustainability assets like people, infrastructure, processes, and products that influence direct effects like power waste, effort waste, and material waste. Green factors that impact direct effects are then identified. Finally, example green metrics are defined using the entity-attribute-measure structure and mapped to green factors to allow monitoring of software sustainability performance. The metrics provide a starting point to help organizations deploy and control sustainability-related processes.
IRJET- Real Time Water Monitoring SystemIRJET Journal
The document describes the development of a real-time water monitoring system that uses sensors to measure parameters like turbidity, dissolved oxygen, temperature, and conductivity of water samples. The system transmits sensor data wirelessly to a transmitter and cloud server to allow for remote monitoring. Test results showed changes in water parameter levels in response to added impurities, demonstrating the system's ability to detect changes in water quality over time.
This session will demonstrate a new approach to LIMS implementations eliminates the complexities, excessive customization and lengthy associated validation requirements inherent with legacy LIMS—offering fast, “out-of-the-box” deployment capabilities, no custom coding, easy integration into existing software platforms and enterprise-wide data management capabilities.
Each Accelrys LIMS application comes with Workflow Editors that eliminate traditional software custom-coding processes, enabling your own internal system administrator to deploy needed applications, workflows and procedures using a simple drag-and-drop process and dialog interface.
When finished with the workflow editing, a single mouse click generates a complete validation document for the application, workflow or procedure created. Built-in compliance at the “core technology” level turns qualification/validation into a simple, fast document review with no need for external validation consultants, even in regulated environments.
This document is an introduction to software testing that discusses why testing is important and what activities are involved in testing. It notes that software is ubiquitous and critical in many applications, and failures can have huge financial and safety impacts. More testing is needed due to increased expectations for reliability, larger and more complex software, and new platforms like the web. The goal is to help reduce risks and costs from failures through systematic testing approaches.
Four things that are almost guaranteed to reduce the reliability of a softwa...Ann Marie Neufelder
Distressed software projects typically have at least one of the 4 risks shown in the presentation. Avoiding these 4 things is the first step in ensuring software reliability.
Frequently the most immediate financial return we can get from gathering data from things (and making decisions on that data) is from existing installed assets, rather than new build projects. The problem is that those assets often have not been designed or installed with monitoring in mind.
This talk examines such a project in the Electricity Distribution business, and the critical challenges imposed by dealing with the practical problems of what is already installed, rather than assuming a clean sheet of paper.
Software Reliability is the probability of failure-free software operation for a specified period of time in a specified environment. Software Reliability is also an important factor affecting system reliability. ... The high complexity of software is the major contributing factor of Software Reliability problems.
This document provides information about a large steel structure engineering company in Southern China. It discusses the company's profile, including its registered address, capital, establishment date, annual turnover, production area and capacities. It also describes the company's qualifications, equipment, workshops, production capabilities and staff. The company has national and international qualifications for steel structure jobs. It has modern manufacturing equipment, large workshop areas and produces a variety of steel structure products for buildings, bridges and equipment.
This document introduces the Bianco Node, a modular air quality monitoring and control system. It discusses problems with existing technologies like lack of automation, awareness and security measures. The Bianco Node aims to address these issues through an intelligent, fault-tolerant and reliable system that allows adding sensor modules as needed. It promises benefits like improved work environments, productivity, costs, emergency response times and air quality through real-time monitoring and automation.
Zero Wait-State is an expert in implementing Oracle's Product Lifecycle Management (PLM) platform and tailoring it to support customers' business models and initiatives. They have experience implementing key PLM modules like Product Governance & Compliance, Engineering Collaboration, and tools that automate importing supplier and product information to streamline compliance. Their team of industry experts can help customers efficiently comply with regulations regarding conflict minerals, hazardous materials, and other issues.
The document summarizes a student's media evaluation project creating a magazine called "Stream" celebrating chart music. Some key points:
1) The student used conventions like consistent color schemes, layouts, and barcodes from real magazines. Fonts, image composition, language were also developed.
2) The magazine represents youth through its bright colors, complex language, and focus on chart music appealing to teenagers.
3) Bauer magazine would be a good distributor as it already publishes music magazines and offers advertising opportunities needed for the magazine to be unique and widely distributed.
4) The target audiences are 19-year old male student and 22-year old female retail worker interested in music, fashion, and
The document compares and contrasts the representations of various social groups in a media product. It analyzes the characters of Damian, Edward, Steve, Maurice, and DCI Brown. It notes that Damian, as a quiet and distant working class college student, conforms to stereotypes of someone who is "on the brinks of society." Edward, as an anxious private school student, suggests sympathy as the weakest character. Steve, an unemployed dropout, is portrayed as unlikable with a negative atmosphere. Maurice, a relaxed sixth form student, creates a positive rapport as the "coolest" person. DCI Brown, a serious skilled working class detective, suggests a high sense of authority as he seeks justice
El poema habla sobre un amor no correspondido. La persona le pide a su amada que tome su mano para huir de la oscuridad y bailar juntos, aunque sabe que ella podría seguir pensando en alguien más. Le dice que encontrará el amor y el valor que necesita en su interior, y que él la amará para siempre a pesar de que ahora no esté interesada.
Lead Designer for Clearly Innovative breaks down pros and cons of her favorite websites for UI and UX inspiration.
Based on this blog:
http://www.clearlyinnovative.com/8-resources-for-ux-ui-inspiration
This document discusses the concepts of freedom, order, and equality in Cuba. It covers national freedom, political freedom, individual freedom, economic freedom, and equality. Order is also addressed. The document provides information on these concepts and links to move between sections on each topic.
The document outlines 10 crucial steps for building quality and safety programs as presented by John Byrnes, MD. The steps include organizing physician leaders, identifying high-cost areas for focus, demonstrating return on investment, establishing a kitchen cabinet advisory group, maintaining gains over time, engaging the board quality committee, integrating quality into the strategic plan and core values, and taking a balanced approach to safety, savings, clinical improvement and satisfaction. The document promotes John Byrnes' consulting services and an upcoming quality bootcamp for sharing best practices on developing effective quality and safety programs.
We have extensive experience in PLM data migrations, having successfully migrated major companies like John Deere, Dell, and Raytheon. Data migration is difficult due to unpredictable data quality issues that could disrupt operations. Thorough planning including testing and validating the data in increments is recommended over attempting a "big bang" approach. While full history migration is challenging, most companies do not need versions older than the latest.
The CERN-EDUSAFE meeting covered work package 3 (WP3) which focuses on studying the scalability and adaptability of hardware and software for the personal safety system module, control system, and data acquisition system. WP3 is divided into optimizing the design and integration of the personal safety system module and designing the control and data acquisition architecture to be adaptable, scalable, and meet requirements. The meeting discussed timelines, deliverables, and milestones for the project components through 2023.
This document discusses cloning an organization to allow testing and manipulation without affecting the original site. It defines cloning as creating an exact copy that can be used for tasks without risk to the original. Types of clones include the frontend design, backend design, and database. Benefits of cloning for software testing are that it is cost-effective, improves security and product quality, and increases customer satisfaction. The document then discusses various software testing types, reverse engineering, and software development life cycles like waterfall, RAD, spiral, V-model, incremental, agile, iterative, big bang and prototype models. The conclusion is that cloning can help test and learn new features without interrupting the original organization's data and business.
Design And Development of Fire Fighting RobotIRJET Journal
This document discusses the design and development of a firefighting robot based on an Arduino microcontroller. The robot is equipped with sensors to detect fires and obstacles. It can navigate manually through an environment and extinguish fires using a water pump and nozzle. The robot also has wireless communication via Bluetooth to allow for remote control. Computer vision algorithms using OpenCV are used for the primary fire detection system, while additional sensors provide secondary verification of fires. Testing showed the robot could accurately detect and localize fires. The conclusion discusses how such robots could assist firefighters by making firefighting safer and more effective.
This document summarizes the progress of a group project to develop a mobile autonomous robot called MARIO-COM to safely collect and transport medical waste in hospitals. In Phase 1, the group created a proposal, UML diagrams, and code stubs. In Phase 2, they integrated dependencies, implemented basic unit tests, and created simulation environments. Issues addressed included implementing MoveIt with ROS2 and lack of community support. In Phase 3, the plan is to complete the actual implementation in ROS2, add advanced unit tests, fix CI issues, and create software release deliverables.
IRJET- Air and Sound Pollution Monitoring System using IoTIRJET Journal
This document describes an air and sound pollution monitoring system using IoT. The system uses sensors to measure air quality parameters like carbon dioxide, nitrogen dioxide, and sound pollution levels. The sensor data is sent to a Raspberry Pi module connected to a GPRS module to transmit the data via mobile networks. The data is stored on a cloud server for remote access and monitoring through a mobile app. The system aims to provide real-time pollution monitoring and alert authorities if fire is detected to help control pollution and ensure public safety.
IRJET - Neural Network based Leaf Disease Detection and Remedy Recommenda...IRJET Journal
This document describes a neural network-based system for detecting leaf diseases and recommending remedies. It uses a convolutional neural network (CNN) and deep learning techniques to classify images of plant leaves with different diseases. The system is trained on a dataset of 5000 leaf images across 4 disease classes. It aims to help farmers more easily identify leaf diseases and receive treatment recommendations without needing to directly contact experts. The document outlines the existing problems, proposed solution, literature review on related techniques like boosting and support vector machines, software and algorithms used including Python, Anaconda and Spyder. It also describes the implementation process involving modules for data loading, preprocessing, feature extraction using CNN, disease prediction, and recommending remedies.
IRJET- AI to Analyze and Extract Data to Gain Insights About the Spread o...IRJET Journal
This document describes a system that uses sensors and machine learning to analyze air quality and predict pollution levels. The system collects data from sensors that measure gases like carbon monoxide and nitrogen dioxide. This data is processed using machine learning algorithms to analyze current pollution levels and predict future levels over the next 24 hours. The system aims to provide reliable air quality information to help governments and organizations address pollution issues. It offers a low-cost and mobile alternative to existing stationary sensor systems.
ENVIRONMENTAL QUALITY PREDICTION AND ITS DEPLOYMENTIRJET Journal
This document presents research on using machine learning models to predict environmental quality by analyzing data from environmental sensors. The researchers implemented classification algorithms like decision trees, logistic regression, naive bayes, random forest and support vector machines to predict air quality using metrics like accuracy. They found that the decision tree algorithm achieved the highest accuracy of 99.8% among the other models. The proposed system aims to develop a more effective machine learning model for air quality prediction compared to existing image-based techniques, in order to help monitor pollution levels and protect public health.
1) Airports should conduct their own operational tests of explosive trace detection (ETD) systems to evaluate performance in the real-world airport environment, rather than relying solely on manufacturers' claims or laboratory results.
2) Key factors to evaluate include the ETD system's false alarm rate, throughput and ease of use by screeners, as well as the total cost of ownership including costs of consumables, maintenance, and dealing with false alarms.
3) Operational tests should run for a minimum of two weeks to two months to collect sufficient performance data on factors like reliability, maintenance needs, and environmental impact.
Design and Fabrication of Pesticides Spraying Drone for AgricultureIRJET Journal
This document discusses the design and fabrication of a pesticide spraying drone for use in agriculture. Some key points:
- The drone is designed to reduce the harmful effects of pesticide exposure on agricultural workers and increase efficiency.
- It uses a 12V sprayer, 0.5 liter pesticide tank, micro pumps to atomize the spray, and an octocopter frame powered by 8 BLDC motors and a 22000mAh LiPo battery.
- An FPV camera and transmitter allow remote monitoring of the spraying process.
- The drone is intended to reduce the time, number of workers, and costs required for pesticide application compared to manual spraying.
Design and Implementation of Smart Environmental Air Pollution Monitoring Sys...BRNSSPublicationHubI
This document describes the design and implementation of a Smart Environmental Air Pollution Monitoring System (SEAPMS) based on IoT. The SEAPMS uses sensors to detect concentrations of gases like carbon monoxide, carbon dioxide, methane, dust, smoke, temperature and humidity. The sensor data is sent to a Particle Photon microcontroller, which then sends the data to the UBIDOTS IoT platform and cloud for analysis and visualization. The system also includes a fire extinguishing component that will activate when smoke concentration exceeds a threshold limit.
IRJET- Smart Dustbin using GPS TrackingIRJET Journal
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Review of smart sensor networks for environment monitoring
bianco final
1. An autonomous robot for air quality monitoring
Team Members:
Varnavas Eleftheriou
Michalis Kyprianou
Ali Abdallah
Andreas Howes
2. 1. Project Scope
The project scope is to develop a system that will allow real time monitoring of the air
quality including radiation levels and warn administrative personnel about the existence
of any possible hazardous substances. It will be autonomous and move around the
university campus both indoors and outdoors.
2. Business Plan
2.1 Business Need
The aim of the project is to provide an evolutionary solution, which will prevent problems
that occur by everyday hazards. It is quite surprising that around 7 million premature
deaths may be attributed to air pollution1 while others suffer from bad air quality and
they do not know it. Managing multiple single space devices that monitor the air quality
is extremely costly in both maintenance and usage. Our solution will allow the
monitoring of multiple areas with a single autonomous robot that will be reporting to a
monitoring station.
2.2 Basic System Features
Autonomous Traversal
We are suggesting the design of a robot that will be able to traverse a university
campus externally and internally autonomously. The system will utilize GPS and Wi-
Fi positioning for outdoor and indoor spaces.
Air Quality Monitoring
It can monitor the air quality and detect any possible radiation levels using several
sensors including a Geiger counter.
Environment Adaptation
The robot can adapt to various environment types and adjust its functionalities
accordingly.
Wireless Data Transmission
It can transmit the measurements automatically through wireless connectivity over a
server where administrative personnel can monitor it.
On the Spot Alert
The robot will have a speaker, which will alert people in the area of any possible
hazardous chemicals found or if radiation levels are high.
2.3 Benefits
Improves the productivity of personnel
Lowering the cost of products and services purchased for multiple air monitoring
systems by 60% 2
1 Jaservic,T., Osseiran,N., & Thomas, G. (2014) 7 million prematuredeaths annually linked to air pollution,25
March 2014,World Health Organization. Retrieved from :
http://www.who.int/mediacentre/news/releases/2014/air-pollution/en/
2 Calculated Based on current expenses for CO and CO2 detectors exi stingin European University Cyprus.
3. Faster Emergency Response time
Real Time situation assessment
Exact Location of hazards
Automated alarm and location guidance
Increased organizational security
More control, thereby lowering the risk of accidents
Improved Air Quality
2.4 Strategic Goals
Reduce Expenses
One of the goals we always bear in mind prior to thinking about developing any
system, is how to reduce the price of the final product through optimization.
Minimizing the total cost while maintaining the quality of a lot more expensive
solution through low cost alternatives is important.
Increase Public Awareness
Since we offer a good quality product which is made with relatively cheap
components, we would like to increase public awareness in the fields of air quality in
public places and promote the use of the autonomous device in all kinds of
environments.
3. Project Plan
The Bianco team is comprised of students of the European University Cyprus. We are
all senior students in the fields of Computer Science and Computer Engineering and are
interested in robotics. Moreover, we are intrigued by autonomous systems and this
motivates us to delve even deeper into the robotics world.
3.1 Work packages – Tasks (See Appendix A)
Work Package 1 - Chemical Analysis [2]
Decision of the most harmful gases and components of molecules, research on the
dangerous threshold of each one and decision of, chemical and non-chemical,
sensors for the purpose of the project scope.
Work Package 2 - Alternative Energy Resource In Robotics Research [3]
Research in alternative and renewable energy resources that could improve the
functionality of the system from 24/1 up to 24/7 and component choice based on
power usage. Calculation of estimated total power consumption.
Work Package 3 - Hardware System Development [4]
Assembly of the Chassis, Servos, Casing. Creation of waterproof modification.
Installation and position optimization of the sensors on the Arduino board to take the
least possible space, including the assembly of the Geiger-counter. Completion
allows the initiation of the programming part of the project.
Work Package 4 - Software System Development [5]
Server software development that will allow the robot to interact with the server and
vice versa. Embedded software development for autonomous movement, sampling
4. rate and environmental adaptation. Arduino programming. System Integration begins
when the server and Arduino communication is established.
Work Package 5 - System Integration [6]
System Integration is the process of bringing together the component systems into
one system and ensuring that the sub-systems function together as a single
coherent system. Completion leads to Testing and Troubleshooting.
Work Package 6 - Testing and Troubleshooting [7]
Testing and Troubleshooting of the whole functionality of the system which will allow
better optimization, system correction and improved system functionality.
Work Package 7 - Risk Assessment Analysis [8]
During this task, the team will evaluate the given risks if any and then adapt the
design and implementation of the robot according to available options.
3.2 Overall Approach
We will approach the project using Rapid Prototyping methodology, which allows us to
decrease the development time and at the same time allow corrections of the system.
Important notable issue; Interoperability. Critical Success Factor; Time
3.4 Users Analysis
Stakeholder Interest / stake Importance
Maintenance Personnel Stakeholder Medium
Administrative Personnel Stakeholder High
3.5 Constraints – SWOT Analysis
Provided time is probably the most dangerous constraint that could affect the project.
Limited Resources is the second problem that could affect the project
Strengths: we are providing an innovative solution for indoor positioning with
renewable energy resources.
Weaknesses: we are competing against other universities, which have the material
to test and experiment with, the labs to run simulations and students who have
advanced knowledge to develop a robotic product. Our background is mostly
Computer Science and Computer Engineering and not directly related to robotic
research.
Opportunities: we are developing new skills in a relatively new area of technology
Threats: battery power in a combination with the solar panel might be insufficient for
24/7 uptime but it lasts for at least 24/1
5. 3.6 Risk Analysis
Risk Description
Probability
1 – 5
(1=low
5=high)
Severity
1 – 5
(1=low
5=high)
Risk
Score
(PxS)
Detail of action to be taken
(mitigation / reduction / transfer / acceptance)
Indoor Positioning
Failure
3 3 9
Transfer (In case we have indoor positioning
failure using Wi-Fi, we have a backup
RPLIDAR module that can be used for
mapping indoor environments and allow the
device to function.
Delays to hardware
development
2 5 10
Mitigation (in case a deliverable delays, we
will reduce the testing and troubleshoot
phase accordingly in order to complete the
delayed deliverable)
Delays to software
development
3 5 15
Mitigation (Reduce Troubleshooting and
testing time to increase development time)
Delayed delivery
from vendors
1 5 5
Acceptance (Reduce Troubleshooting and
Testing time to adjust accordingly)
Delays to financial
approvals impact
the project
1 5 5
Transfer (We will attempt to use our personal
financial budget)
3.7 Project Roles
Team Member Name Role
Days per week
on the project
Varnavas Eleftheriou Project Manager 7
Ali Abdallah Programmer/ Interface Developer 5
Andreas Howes Research Analyst/Arduino Programmer 5
Michalis Kyprianou Arduino Programmer/Hardware Assembler 5
3.8 Requirements
The robot will function in a university campus and traverse the area halls and exterior
area monitoring real time air quality with measurements and monitoring on the server.
The server will be responsible to give a warning if a measurement of the air quality is
not healthy or radiation levels are exceeded. Once a warning is triggered, the person in
charge will act appropriately to ensure people are not exposed to harmful air or radiation
levels. The robot will use Wi-Fi indoor positioning system to know its location in the
university premises while it will use GPS signals to position itself outdoors. This allows
the person in charge to know precisely in what location of the university there are
harmful gases or radiation levels in case of such an event.
This project is designed for use in any large building, such as universities or companies
that might require monitoring of air quality and radiation, as well as factories where air
6. quality is crucial such as pharmaceutical industries, or industries that have radioactive
material and need radiation level monitoring in case of leaks.
4. Technical Specifications
4.1 Hardware Specifications
Arduino Uno controller
Tall Chassis 4x4 Wheel Drive with one DC motor
Geiger Counter Kit - Radiation Sensor
MQ135 Air Quality Sensor
Monoxide Combustible Gas Sensor
Digital Temperature and Humidity Sensor
4x Ultrasonic sensors
1x Solar Panel 12V 900mA
Laser Scanner (RPLIDAR)
GPS
3x 6Volt 12Ah batteries
4.2 CAD Design
7. 4.3 Project Budget
Part Price
(Euro)
Qty
Ultrasonic sensor 3,00 4
Chassis 4x4 3-in-1 Kit 360,00 1
Geiger counter Kit - Radiation sensor 80,00 1
Adafruit CC3000 Wi-Fi module 29,00 1
MQ135 - Air quality sensor 10,00 1
MQ309A – Carbon Monoxide gas sensor 5,00 1
Digital temperature sensor & Humidity sensor 24,00 1
Solar panel 201,00 1
RPLIDAR Laser scanner 273,00 1
ITEAD GPS Shield 20,00 1
6V 12Ah Battery 14,00 3
Arduino Uno 40,00 1
Total: 1110,00
5. Conclusion
The proposed project will develop an autonomous robotic device, which will monitor
several air quality hazards such as Volatile Organic Compounds (VOC), and radiation
levels. The device will move indoors and outdoors autonomously and send sensor
readings at predetermined intervals to a monitoring server through Wi-Fi
communications. The monitoring station will provide a dashboard with visual information
on VOCs and other robot information while providing alerts when readings pass the
configured thresholds.
The robot should be able to run for 24 hours using renewable energy resources such as
a solar panel when running outdoors and through power management options when the
batteries are running low. The robot also adapts to changing environmental conditions
and can alert people when an emergency occurs.
Our proposed system can help the employees and students of the university by alerting
them when the air quality reaches dangerous levels while saving the university money
from reducing the number of monitoring devices deployed in the campus.