MISURA E TELECONTROLLO DI IMPIANTI FOTOVOLTAICISENECA
Monitoraggio dei quadri di stringa in modo indipendente dalla gestione della potenza; proposta SENECA per il fotovoltaico: dispositivi di trasformazione di grandezze elettriche e di processo (correnti continue, tensioni, informazioni ambientali), sistemi di acquisizione dati (su cavi in rame, bus, seriali, fibra ottica, Ethernet, radio) e telecontrollo; un caso applicativo di un impianto con potenza nominale 1 MW gestito da 30 quadri di stringa (oltre 500 grandezze controllate) attraverso tecnologie GPRS e web server.
Breve carellata nel mondo della robotica e dell'intelligenza artificiale con tante immagini chiare. Un tentativo di illustrare in parallelo sia la robotica sia l'I.A
IoT devices generate large amounts of data that require processing and analysis. Big data refers to high-volume, high-velocity, and high-variety information that is too large for traditional data processing. IoT and big data are interconnected as IoT devices produce data on a massive scale. Common challenges with IoT and big data include having too much data to analyze effectively, difficulty capturing data, and uncertainty about how to use captured data. Technologies like Hadoop and Spark can be used to store and process large volumes of IoT and other big data.
The document summarizes key topics from the book "Data Governance for the Executive" by Jim Orr. It discusses how data governance has traditionally been viewed narrowly but should be seen as information asset management that drives business performance. The document also outlines how data governance can demonstrate value to executives by reducing costs, improving revenues, and mitigating risks across industries. Companies estimate losing millions annually due to data quality issues.
This document provides an introduction to the Internet of Things (IOT). It defines IOT as the collection of physical devices connected over the internet that can exchange data with less human involvement. The history and key technologies that enabled IOT are discussed, including wireless sensor networks, RFID, and cloud computing. The document also outlines the typical architecture of an IOT system including sensing, network, service, and application layers. Common IOT standards, protocols, and applications are summarized along with research areas and challenges in IOT development.
MISURA E TELECONTROLLO DI IMPIANTI FOTOVOLTAICISENECA
Monitoraggio dei quadri di stringa in modo indipendente dalla gestione della potenza; proposta SENECA per il fotovoltaico: dispositivi di trasformazione di grandezze elettriche e di processo (correnti continue, tensioni, informazioni ambientali), sistemi di acquisizione dati (su cavi in rame, bus, seriali, fibra ottica, Ethernet, radio) e telecontrollo; un caso applicativo di un impianto con potenza nominale 1 MW gestito da 30 quadri di stringa (oltre 500 grandezze controllate) attraverso tecnologie GPRS e web server.
Breve carellata nel mondo della robotica e dell'intelligenza artificiale con tante immagini chiare. Un tentativo di illustrare in parallelo sia la robotica sia l'I.A
IoT devices generate large amounts of data that require processing and analysis. Big data refers to high-volume, high-velocity, and high-variety information that is too large for traditional data processing. IoT and big data are interconnected as IoT devices produce data on a massive scale. Common challenges with IoT and big data include having too much data to analyze effectively, difficulty capturing data, and uncertainty about how to use captured data. Technologies like Hadoop and Spark can be used to store and process large volumes of IoT and other big data.
The document summarizes key topics from the book "Data Governance for the Executive" by Jim Orr. It discusses how data governance has traditionally been viewed narrowly but should be seen as information asset management that drives business performance. The document also outlines how data governance can demonstrate value to executives by reducing costs, improving revenues, and mitigating risks across industries. Companies estimate losing millions annually due to data quality issues.
This document provides an introduction to the Internet of Things (IOT). It defines IOT as the collection of physical devices connected over the internet that can exchange data with less human involvement. The history and key technologies that enabled IOT are discussed, including wireless sensor networks, RFID, and cloud computing. The document also outlines the typical architecture of an IOT system including sensing, network, service, and application layers. Common IOT standards, protocols, and applications are summarized along with research areas and challenges in IOT development.
Information Governance: Reducing Costs and Increasing Customer SatisfactionCapgemini
The document discusses best practices for information governance, including how it can help organizations reduce costs and increase customer satisfaction. It provides an overview of SAP and Capgemini's information governance best practices and addresses common questions clients have around data issues. Information governance is important because data is a key organizational asset, and governance helps ensure consistent, accurate data is available for reporting and decision making. Lack of governance can lead to issues like multiple versions of the truth and inefficient processes. The benefits of effective information governance include reduced costs through improved data management, better decisions from leveraging high-quality data, and increased customer satisfaction.
The document discusses data protection in India as the country transitions to a digital economy. It notes that India has over 450 million internet users and the government has launched a "Digital India" initiative. However, with increased data collection and use, protection of personal data has become important. The government has drafted a white paper that outlines key principles for a data protection law, including technology neutrality, informed consent, data minimization, and accountability. The white paper was released for public consultation to help shape India's comprehensive data protection law and ensure privacy protections are balanced with enabling innovation.
This document discusses an Internet of Things workshop presented by Dr. Mazlan Abbas. The agenda includes an introduction to IoT, applications of IoT, and smart cities. Technologies enabling IoT are discussed, such as cheap sensors, bandwidth, processing power, and wireless coverage. Examples of IoT applications are presented across various industries like manufacturing, transportation, agriculture, and more. Benefits of IoT include increased security, efficiency, and new revenue streams. The document also discusses defining and collecting data, data ownership, and creating value from data through analytics.
This document discusses data governance and provides information on:
1) The need for data governance to guide analytical activities, solve issues, and ensure consistent and reliable data.
2) Why companies suffer without data governance due to application and data integration issues, data quality problems, accountability issues, and organizational problems.
3) Key aspects of establishing a data governance program including assigning roles and responsibilities, planning requirements, implementing policies and procedures, and ongoing monitoring.
Appreciation of Electronic Evidence-PDFTalwant Singh
The document discusses electronic evidence or e-evidence. It defines e-evidence as any probative information stored or transmitted digitally that may be used in court. It notes that courts must determine if e-evidence is relevant, authentic, and not hearsay, and if the original is required. Common forms of e-evidence include emails, photos, records, documents and files. Indian law has been updated to recognize e-evidence, including provisions for admissibility and authentication of digital records. Courts have accepted various forms of e-evidence in several cases.
Computer crime and the adequacy of the current legal framework in sri lankaVishni Ganepola
The slide set gives a brief idea as to what is computer crime,types of computer crimes, Existing Legal Framework on Computer Crimes in Sri Lanka, Effectiveness of the current legal framework and also provides few recommendations for further advancement in law.
You can access the video in the second page via the following link:
https://www.youtube.com/watch?v=JDRIGOJk0D4&t=7s
Machine Learning for Personalised HealthSakha Global
Personalized healthcare and precision medicine are introducing novel opportunities to leverage data about an individual to deliver personalized health profiles and wellness profiles to an individual. This data includes electronic medical records, genomics, lifestyle, and environmental data. However, there are fundamental challenges from collecting such data at an individual level to integrating it to developing machine learning algorithms and tools to deliver on the promise and outcome of personalized healthcare.
This SlideShare explores the concept of machine learning for personalized health in brief.
Enterprise Data Governance for Financial InstitutionsSheldon McCarthy
This document discusses data governance for financial institutions. It covers topics such as metadata management, master data management, data quality management, and data privacy and security. Data governance involves planning, defining standards, assigning accountability, classifying data, and managing data quality. It helps protect sensitive information and enables more effective data use. Master data management brings together business rules, procedures, roles, and policies to research and implement controls around an organization's data. Data quality management establishes roles, responsibilities, and business rules to address existing data problems and prevent potential issues.
Records Retention And Destruction PoliciesRichard Austin
This presentation reviews the legal reasons for companies to establish a records retention and destruction policy and identifies the major steps in establishing a policy. It also presents a high level overview of the new Ontario e-Discovery rules.
This presentation reports on data governance best practices. Based on a definition of fundamental terms and the business rationale for data governance, a set of case studies from leading companies is presented. The content of this presentation is a result of the Competence Center Corporate Data Quality (CC CDQ) at the University of St. Gallen, Switzerland.
The presentation covers the main legal issues affecting technologies in the Internet of Things enviroment such as wearable technologies, ehealth devices, smarth home and smart city tools with reference to data protection, telecom, cybercrime, life sciences and regulatory matters.
The GDPR is a legal framework that sets guidelines for collecting and processing personal data of EU citizens. By May 2018, any organization handling EU citizens' personal data must comply with GDPR requirements. The GDPR strengthens data protection for individuals and implements penalties for noncompliance. Crown Records Management can help organizations prepare for and comply with the GDPR through services like a data protection officer, data protection impact assessments, and a GDPR readiness assessment.
what is Internet of things(iot) & how does it workSara shall
a definition for the internet of things(IOT) and simple explanation about its mechanism. this ppt also show IOT life cycle, why IOT and IOT applications. It states also IOT disadvantages.
The document discusses Internet of Things (IoT). It defines IoT as the network of physical objects embedded with sensors, software and connectivity that allows them to collect and exchange data. The document outlines the history of IoT and how it works by connecting physical objects through various technologies like RFID, sensors and wireless networks. It provides examples of applications of IoT in various domains like healthcare, transportation, manufacturing etc. It also discusses the current status and future prospects of IoT along with technological challenges and criticisms around privacy, security and control issues.
Cyber Crimes: The Transformation of Crime in the Information AgeVishni Ganepola
The research paper attempts to provide a definition on cyber-crimes and has also identified few types of cyber-crimes that have been internationally recognized.
Whether you call it data munging, data cleansing, or data wrangling, everyone agrees that data preparation activities account for 80% of analysts’ time, leaving only 20% for analysis. Shifting this work to more specialized talent represents a major source of data analysis productivity improvements. This program “walks” through the major preparation categories including collection, evaluation, evolution, access design, and storage requirements. Understanding each in context also provides opportunities to develop complementary Data Governance/ethics frameworks. A generalized approach is presented.
Learning objectives:
- Appreciate the savings that can accrue from transforming data preparation from one-off to an improvable process
- Recognize what data preparation knowledge/skills your organization has and/or needs
- Better know the transformations that data can survive as it is prepared to be analyzed
This document provides an introduction to text mining, including definitions of text mining and how it differs from data mining. It describes common areas and applications of text mining such as information retrieval, natural language processing, and information extraction. The document outlines the typical process of text mining including preprocessing, feature generation and selection, and different mining techniques. It also discusses common approaches to text mining such as keyword-based analysis and document classification/clustering. Finally, it notes some challenges of text mining related to unstructured text data.
Top 10 Best Practices for Implementing Data ClassificationWatchful Software
This document outlines Watchful Software's data classification services and best practices. It discusses who they are as a company, what services they provide around data access systems, compliance assessment, remediation and automation. It also lists their top 10 best practices for implementing a data classification project, which includes determining objectives, prerequisites, solutions, policies, infrastructure, deployment, training, support, measurement and continuous improvement.
Enterprise data literacy. A worthy objective? Certainly! A realistic goal? That remains to be seen. As companies consider investing in data literacy education, questions arise about its value and purpose. While the destination – having a data-fluent workforce – is attractive, we wonder how (and if) we can get there.
Kicking off this webinar series, we begin with a panel discussion to explore the landscape of literacy, including expert positions and results from focus groups:
- why it matters,
- what it means,
- what gets in the way,
- who needs it (and how much they need),
- what companies believe it will accomplish.
In this engaging discussion about literacy, we will set the stage for future webinars to answer specific questions and feature successful literacy efforts.
Information Governance: Reducing Costs and Increasing Customer SatisfactionCapgemini
The document discusses best practices for information governance, including how it can help organizations reduce costs and increase customer satisfaction. It provides an overview of SAP and Capgemini's information governance best practices and addresses common questions clients have around data issues. Information governance is important because data is a key organizational asset, and governance helps ensure consistent, accurate data is available for reporting and decision making. Lack of governance can lead to issues like multiple versions of the truth and inefficient processes. The benefits of effective information governance include reduced costs through improved data management, better decisions from leveraging high-quality data, and increased customer satisfaction.
The document discusses data protection in India as the country transitions to a digital economy. It notes that India has over 450 million internet users and the government has launched a "Digital India" initiative. However, with increased data collection and use, protection of personal data has become important. The government has drafted a white paper that outlines key principles for a data protection law, including technology neutrality, informed consent, data minimization, and accountability. The white paper was released for public consultation to help shape India's comprehensive data protection law and ensure privacy protections are balanced with enabling innovation.
This document discusses an Internet of Things workshop presented by Dr. Mazlan Abbas. The agenda includes an introduction to IoT, applications of IoT, and smart cities. Technologies enabling IoT are discussed, such as cheap sensors, bandwidth, processing power, and wireless coverage. Examples of IoT applications are presented across various industries like manufacturing, transportation, agriculture, and more. Benefits of IoT include increased security, efficiency, and new revenue streams. The document also discusses defining and collecting data, data ownership, and creating value from data through analytics.
This document discusses data governance and provides information on:
1) The need for data governance to guide analytical activities, solve issues, and ensure consistent and reliable data.
2) Why companies suffer without data governance due to application and data integration issues, data quality problems, accountability issues, and organizational problems.
3) Key aspects of establishing a data governance program including assigning roles and responsibilities, planning requirements, implementing policies and procedures, and ongoing monitoring.
Appreciation of Electronic Evidence-PDFTalwant Singh
The document discusses electronic evidence or e-evidence. It defines e-evidence as any probative information stored or transmitted digitally that may be used in court. It notes that courts must determine if e-evidence is relevant, authentic, and not hearsay, and if the original is required. Common forms of e-evidence include emails, photos, records, documents and files. Indian law has been updated to recognize e-evidence, including provisions for admissibility and authentication of digital records. Courts have accepted various forms of e-evidence in several cases.
Computer crime and the adequacy of the current legal framework in sri lankaVishni Ganepola
The slide set gives a brief idea as to what is computer crime,types of computer crimes, Existing Legal Framework on Computer Crimes in Sri Lanka, Effectiveness of the current legal framework and also provides few recommendations for further advancement in law.
You can access the video in the second page via the following link:
https://www.youtube.com/watch?v=JDRIGOJk0D4&t=7s
Machine Learning for Personalised HealthSakha Global
Personalized healthcare and precision medicine are introducing novel opportunities to leverage data about an individual to deliver personalized health profiles and wellness profiles to an individual. This data includes electronic medical records, genomics, lifestyle, and environmental data. However, there are fundamental challenges from collecting such data at an individual level to integrating it to developing machine learning algorithms and tools to deliver on the promise and outcome of personalized healthcare.
This SlideShare explores the concept of machine learning for personalized health in brief.
Enterprise Data Governance for Financial InstitutionsSheldon McCarthy
This document discusses data governance for financial institutions. It covers topics such as metadata management, master data management, data quality management, and data privacy and security. Data governance involves planning, defining standards, assigning accountability, classifying data, and managing data quality. It helps protect sensitive information and enables more effective data use. Master data management brings together business rules, procedures, roles, and policies to research and implement controls around an organization's data. Data quality management establishes roles, responsibilities, and business rules to address existing data problems and prevent potential issues.
Records Retention And Destruction PoliciesRichard Austin
This presentation reviews the legal reasons for companies to establish a records retention and destruction policy and identifies the major steps in establishing a policy. It also presents a high level overview of the new Ontario e-Discovery rules.
This presentation reports on data governance best practices. Based on a definition of fundamental terms and the business rationale for data governance, a set of case studies from leading companies is presented. The content of this presentation is a result of the Competence Center Corporate Data Quality (CC CDQ) at the University of St. Gallen, Switzerland.
The presentation covers the main legal issues affecting technologies in the Internet of Things enviroment such as wearable technologies, ehealth devices, smarth home and smart city tools with reference to data protection, telecom, cybercrime, life sciences and regulatory matters.
The GDPR is a legal framework that sets guidelines for collecting and processing personal data of EU citizens. By May 2018, any organization handling EU citizens' personal data must comply with GDPR requirements. The GDPR strengthens data protection for individuals and implements penalties for noncompliance. Crown Records Management can help organizations prepare for and comply with the GDPR through services like a data protection officer, data protection impact assessments, and a GDPR readiness assessment.
what is Internet of things(iot) & how does it workSara shall
a definition for the internet of things(IOT) and simple explanation about its mechanism. this ppt also show IOT life cycle, why IOT and IOT applications. It states also IOT disadvantages.
The document discusses Internet of Things (IoT). It defines IoT as the network of physical objects embedded with sensors, software and connectivity that allows them to collect and exchange data. The document outlines the history of IoT and how it works by connecting physical objects through various technologies like RFID, sensors and wireless networks. It provides examples of applications of IoT in various domains like healthcare, transportation, manufacturing etc. It also discusses the current status and future prospects of IoT along with technological challenges and criticisms around privacy, security and control issues.
Cyber Crimes: The Transformation of Crime in the Information AgeVishni Ganepola
The research paper attempts to provide a definition on cyber-crimes and has also identified few types of cyber-crimes that have been internationally recognized.
Whether you call it data munging, data cleansing, or data wrangling, everyone agrees that data preparation activities account for 80% of analysts’ time, leaving only 20% for analysis. Shifting this work to more specialized talent represents a major source of data analysis productivity improvements. This program “walks” through the major preparation categories including collection, evaluation, evolution, access design, and storage requirements. Understanding each in context also provides opportunities to develop complementary Data Governance/ethics frameworks. A generalized approach is presented.
Learning objectives:
- Appreciate the savings that can accrue from transforming data preparation from one-off to an improvable process
- Recognize what data preparation knowledge/skills your organization has and/or needs
- Better know the transformations that data can survive as it is prepared to be analyzed
This document provides an introduction to text mining, including definitions of text mining and how it differs from data mining. It describes common areas and applications of text mining such as information retrieval, natural language processing, and information extraction. The document outlines the typical process of text mining including preprocessing, feature generation and selection, and different mining techniques. It also discusses common approaches to text mining such as keyword-based analysis and document classification/clustering. Finally, it notes some challenges of text mining related to unstructured text data.
Top 10 Best Practices for Implementing Data ClassificationWatchful Software
This document outlines Watchful Software's data classification services and best practices. It discusses who they are as a company, what services they provide around data access systems, compliance assessment, remediation and automation. It also lists their top 10 best practices for implementing a data classification project, which includes determining objectives, prerequisites, solutions, policies, infrastructure, deployment, training, support, measurement and continuous improvement.
Enterprise data literacy. A worthy objective? Certainly! A realistic goal? That remains to be seen. As companies consider investing in data literacy education, questions arise about its value and purpose. While the destination – having a data-fluent workforce – is attractive, we wonder how (and if) we can get there.
Kicking off this webinar series, we begin with a panel discussion to explore the landscape of literacy, including expert positions and results from focus groups:
- why it matters,
- what it means,
- what gets in the way,
- who needs it (and how much they need),
- what companies believe it will accomplish.
In this engaging discussion about literacy, we will set the stage for future webinars to answer specific questions and feature successful literacy efforts.
il Consiglio della Provincia di Roma impegna il Presidente e la Giunta a chiarire in modo inequivocabile l’inadeguatezza del sito di Pian dell’Olmo, nonchè degli altri siti indicati dalla Regione, e a mettere in campo tutte le iniziative necessarie a sollecitare i soggetti a diverso titolo competenti ad assumere i provvedimenti idonei a conseguire, entro la fine del 2014, gli obiettivi stabiliti dalle leggi nazionali e dalle direttive europee per la raccolta differenziata, il recupero di materia ed energia, e l'uso delle discariche come soluzione residuale per la quota di rifiuti non recuperabili.
Mozione del Consiglio Regionale per la gestione fallimentare dei rifiuti del Comune di Roma. Si chiede di ripensare la scelta di Pian dell'Olmo ribadendo la netta contrarietà rispetto all'intera area di Malagrotta
Mineralogramma del capello di un bambino di 10 anni (senza otturazioni dentarie e che naturalmente non fa uso di tinture per capelli) che vive vicino all'incrocio con via di Malagrotta e via della Pisana.
Il valore del Mercurio è molto alto!