Big data represents one of the most profound and most pervasive evolutions in the digital world. Examples of big data come from Internet of Things (IoT) devices, as well as smart cars, but also the use of social networks, industries, and so on. The sources of data are numerous and continuously increasing, and, therefore, what characterizes big data is not only the volume but also the complexity due to the heterogeneity of information that can be obtained. The fastest growth in spending on big data technologies is happening within banking, healthcare, insurance, securities and investment services, and telecommunications. Remarkably, three of those industries lie within the financial sector, which has many particularly serviceable use cases for big data analytics, such as fraud detection, risk management, and customer service optimization. In fact, the definition of big data analysis refers to the process that encompasses the gathering and analysis of big data to obtain useful information for the business. This paper focuses on delivering a short review concerning the current technologies, future perspectives, and the evaluation of some use cased associated with the analysis of big data.
World Wide Web plays an important role in providing various knowledge sources to the world, which helps many applications to provide quality service to the consumers. As the years go on the web is overloaded with lot of information and it becomes very hard to extract the relevant information from the web. This gives way to the evolution of the Big Data and the volume of the data keeps increasing rapidly day by day. Data mining techniques are used to find the hidden information from the big data. In this paper we focus on the review of Big Data, its data classification methods and the way it can be mined using various mining methods.
This document summarizes a research paper on using big data methodologies with IoT and its applications. It discusses how big data analytics is being used across various fields like engineering, data management, and more. It also discusses how IoT enables the collection of massive amounts of data from sensors and devices. Machine learning techniques are used to analyze this big data from IoT and enable communication between devices. The document provides examples of domains where big data and IoT are being applied, such as healthcare, energy, transportation, and others. It analyzes the similarities and differences in how big data techniques are used across these IoT domains.
Towards IoT-Driven Predictive Business Process Analytics Erfan Elhami
COINS: IEEE International Conference on Omni-layer Intelligent systems // August 2020 // Online Presentation // "Business processes are not isolated from the surrounding working environment, and thus they are influenced by many contextual events, such as events generated by IoT devices. This paper proposes a holistic context-aware methodology for predictive process monitoring by incorporating IoT data. Moreover, we present a systematic method to integrate the contextual events in the runtime process using Business Process Management System (BPMS)."
International Technology Adoption & Workforce Issues Study - German SummaryCompTIA
86% of German executives indicate at least some degree of gaps in IT skills at their business exists. 69% of German executives believe the cybersecurity threat level is increasing. Find out more on how companies are adopting new technology and how it's impacting their workforce.
The document discusses the concept of the Internet of Things (IoT), which involves connecting machines, facilities, fleets, networks, and people to sensors and controls. It notes that:
- The IoT has the potential to revolutionize how we live and do business across many industries.
- While the concept has been around since the 1990s, improving sensors, analytics, and declining costs are driving new applications in areas like automotive, healthcare, manufacturing and more.
- Companies face challenges in developing IoT strategies, integrating technologies, managing and analyzing sensor data at scale, and ensuring security and privacy.
International Journal of Information Technologies & Intelligent Information Systems(ITI)is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of software engineering & applications.
Industrial internet big data usa market studySari Ojala
The document discusses the industrial internet market validation study. It defines key terms like industrial internet, internet of things, big data, and internet of everything. The industrial internet involves integrating physical machinery with sensors and software to ingest and analyze machine data in real-time. There are several challenges to the industrial internet's adoption, including skills shortages, security concerns, and limited data analysis capabilities. However, the market size is immense, estimated at $29.8 trillion in global output affected. The outlook for Finnish companies in data analytics and visualization is positive given their expertise.
World Wide Web plays an important role in providing various knowledge sources to the world, which helps many applications to provide quality service to the consumers. As the years go on the web is overloaded with lot of information and it becomes very hard to extract the relevant information from the web. This gives way to the evolution of the Big Data and the volume of the data keeps increasing rapidly day by day. Data mining techniques are used to find the hidden information from the big data. In this paper we focus on the review of Big Data, its data classification methods and the way it can be mined using various mining methods.
This document summarizes a research paper on using big data methodologies with IoT and its applications. It discusses how big data analytics is being used across various fields like engineering, data management, and more. It also discusses how IoT enables the collection of massive amounts of data from sensors and devices. Machine learning techniques are used to analyze this big data from IoT and enable communication between devices. The document provides examples of domains where big data and IoT are being applied, such as healthcare, energy, transportation, and others. It analyzes the similarities and differences in how big data techniques are used across these IoT domains.
Towards IoT-Driven Predictive Business Process Analytics Erfan Elhami
COINS: IEEE International Conference on Omni-layer Intelligent systems // August 2020 // Online Presentation // "Business processes are not isolated from the surrounding working environment, and thus they are influenced by many contextual events, such as events generated by IoT devices. This paper proposes a holistic context-aware methodology for predictive process monitoring by incorporating IoT data. Moreover, we present a systematic method to integrate the contextual events in the runtime process using Business Process Management System (BPMS)."
International Technology Adoption & Workforce Issues Study - German SummaryCompTIA
86% of German executives indicate at least some degree of gaps in IT skills at their business exists. 69% of German executives believe the cybersecurity threat level is increasing. Find out more on how companies are adopting new technology and how it's impacting their workforce.
The document discusses the concept of the Internet of Things (IoT), which involves connecting machines, facilities, fleets, networks, and people to sensors and controls. It notes that:
- The IoT has the potential to revolutionize how we live and do business across many industries.
- While the concept has been around since the 1990s, improving sensors, analytics, and declining costs are driving new applications in areas like automotive, healthcare, manufacturing and more.
- Companies face challenges in developing IoT strategies, integrating technologies, managing and analyzing sensor data at scale, and ensuring security and privacy.
International Journal of Information Technologies & Intelligent Information Systems(ITI)is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of software engineering & applications.
Industrial internet big data usa market studySari Ojala
The document discusses the industrial internet market validation study. It defines key terms like industrial internet, internet of things, big data, and internet of everything. The industrial internet involves integrating physical machinery with sensors and software to ingest and analyze machine data in real-time. There are several challenges to the industrial internet's adoption, including skills shortages, security concerns, and limited data analysis capabilities. However, the market size is immense, estimated at $29.8 trillion in global output affected. The outlook for Finnish companies in data analytics and visualization is positive given their expertise.
International Journal of Information Technologies & Intelligent Information Systems(ITI)is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of software engineering & applications.
International Journal of Information Technologies & Intelligent Information Systems(ITI)is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of software engineering & applications.
International Journal of Information Technologies & Intelligent Information Systems(ITI)is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of software engineering & applications.
The document summarizes the International Journal of Information Technologies & Intelligent Information Systems (ITI). It is a bi-monthly peer-reviewed journal that publishes articles on software engineering and applications. The goal is to bring together researchers and practitioners to advance the field. Topics of interest include accessibility, cloud computing, data mining, e-government, information security, and more. Authors are invited to submit original papers by June 27, 2020 through the journal's online submission system.
Connected Products for the Industrial WorldCognizant
This document discusses connected products and industrial ecosystems. It begins by explaining that manufacturers can leverage connected product ecosystems to create new business models, improve operations, and design better products aligned with customer needs. It then explores the opportunities and challenges of adopting product-centric connected ecosystems. The key elements of connected ecosystems are hardware, networks, data management, and intelligence/interaction. Connected ecosystems generate value through operational improvements, product innovation, enhanced customer experience, and new business models. However, challenges include issues around data ownership and control within these complex multi-stakeholder ecosystems.
International Journal of Information Technologies & Intelligent Information Systems(ITI)is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of software engineering & applications.
IRJET- Scope of Big Data Analytics in Industrial DomainIRJET Journal
This document discusses the scope of big data analytics in industrial domains. It begins by defining big data and its key characteristics, known as the "7 V's" - volume, velocity, variety, variability, veracity, value, and volatility. It then discusses how big data is generated in various fields like social media, search engines, healthcare, online shopping, and stock exchanges. The document focuses on how big data analytics can be applied in industrial Internet of Things (IoT) to extract meaningful information from large and continuous data streams generated by IoT devices using machine learning techniques.
International Journal of Information Technologies & Intelligent Information Systems(ITI) is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of software engineering & applications.
The document summarizes the International Journal of Information Technologies & Intelligent Information Systems (ITI). It is a bi-monthly peer-reviewed journal that publishes articles on software engineering and applications. The goal is to bring together researchers and practitioners to advance the field. Topics of interest include accessibility, cloud computing, data mining, e-government, information security, and more. Authors are invited to submit original papers by June 6, 2020 through the journal's online submission system.
International Journal of Information Technologies & Intelligent Information Systems(ITI) is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of software engineering & applications.
International Journal of Information Technologies & Intelligent Information Systems(ITI)is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of software engineering & applications.
International Journal of Information Technologies & Intelligent Information Systems(ITI)is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications.
The core of the development of the consumer Internet of Things is to improve user experience, cultivate usage habits, enhance user stickiness, and then obtain more valuable user data and realize data value-added.
International Journal of Information Technologies & Intelligent Information S...MiajackB
International Journal of Information Technologies & Intelligent Information Systems(ITI)is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of software engineering & applications.
How Manufacturers Can Unlock Business Value via IoT AnalyticsCognizant
Internet of Things (IoT) analytics presents manufacturers with a vast opportunity to drive revenues and enhance operations, from real-time analytics at the edge of technologies (consumer products, instrumented devices, manufacturing machines, etc.) through systems to evaluate and act on the plethora of detailed insights IoT provides. We offer a roadmap for manufacturers to pursue this crucial monetizing analytics opportunity.
International Journal of Information Technologies & Intelligent Information S...MiajackB
International Journal of Information Technologies & Intelligent Information Systems(ITI)is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of software engineering & applications.
International Journal of Information Technologies & Intelligent Information S...MiajackB
International Journal of Information Technologies & Intelligent Information Systems(ITI)is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of software engineering & applications.
This document provides an overview of big data, including its definition, characteristics, examples, analysis methods, and challenges. It discusses how big data is characterized by its volume, variety, and velocity. Examples of big data are given from various industries like healthcare, retail, manufacturing, and web/social media. Analysis methods for big data like MapReduce, Hadoop, and HPCC are described and compared. The document also covers privacy and security issues that arise from big data analytics.
Insight into IoT Applications and Common Practice Challengesijtsrd
IoT caused a revolution in the technological world. Not only is the IoT related to computers, people or cell phones but also to various sensors, actuators, vehicles, and other modern appliances. There are around 14 billion interconnected digital devices across the globe i.e. almost 2 devices per human being on earth. The IoT serves as a medium to connect non living things to the internet to transfer information from one point to another in their community network which automates processes and ultimately makes the life of human beings convenient. The subsequent result of amalgamating internet connectivity with powerful data analysis is a complete change in the way we humans work and live. The most vital characteristics of IoT include connectivity, active engagement, sensors, artificial intelligence, and small device use. All of this creates many challenges that need to be solved to keep this technology to continue expanding. In this paper, we have identified various applications of IoT based on recent technological and business trends and highlighted the existing challenges faced by IoT which need to be addressed considering the exponential acceptance of the concept globally and the way those challenges had been addressed in the past. We have also made a few comments on the way such challenges are being attempted to be resolved now. This paper presents the current status Internet of Things IoT in terms of technical details, and applications. Also, this paper opens a window for future work on the historical approach to study and address IoT challenges. Lubna Alazzawi | Jamal Alotaibi "Insight into IoT Applications and Common Practice Challenges" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30286.pdf Paper Url :https://www.ijtsrd.com/engineering/computer-engineering/30286/insight-into-iot-applications-and-common-practice-challenges/lubna-alazzawi
IRJET- A Smart Medical Monitoring Systems using Cloud Computing and Internet ...IRJET Journal
1. The document proposes a smart medical monitoring system using cloud computing and the Internet of Things. It presents an architecture called RMCPHI that uses body sensors, networks, communication modules, and cloud services to remotely monitor patient health data.
2. The RMCPHI architecture transfers sensor data through gateways to a medical information analysis platform where data is processed and statistics are generated. This allows quick decision making for remote health monitoring and management.
3. The system aims to improve remote patient monitoring by leveraging the flexible resources of cloud computing to handle large volumes of medical data generated by IoT sensors.
This document proposes an e-toll payment system using Azure cloud that automates toll gate payments. The system uses RFID tags attached to vehicles with their registration number embedded. When a vehicle reaches the toll gate, the RFID reader obtains the registration number and sends it to the Azure cloud to check if payment was made using a mobile app. If payment was completed, the cloud responds to open the toll gate. This allows drivers to pay electronically without waiting in queues and avoids using cash. The system aims to reduce congestion and fuel consumption at toll plazas through automated payment verification and toll gate control.
International Journal of Information Technologies & Intelligent Information Systems(ITI)is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of software engineering & applications.
International Journal of Information Technologies & Intelligent Information Systems(ITI)is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of software engineering & applications.
International Journal of Information Technologies & Intelligent Information Systems(ITI)is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of software engineering & applications.
The document summarizes the International Journal of Information Technologies & Intelligent Information Systems (ITI). It is a bi-monthly peer-reviewed journal that publishes articles on software engineering and applications. The goal is to bring together researchers and practitioners to advance the field. Topics of interest include accessibility, cloud computing, data mining, e-government, information security, and more. Authors are invited to submit original papers by June 27, 2020 through the journal's online submission system.
Connected Products for the Industrial WorldCognizant
This document discusses connected products and industrial ecosystems. It begins by explaining that manufacturers can leverage connected product ecosystems to create new business models, improve operations, and design better products aligned with customer needs. It then explores the opportunities and challenges of adopting product-centric connected ecosystems. The key elements of connected ecosystems are hardware, networks, data management, and intelligence/interaction. Connected ecosystems generate value through operational improvements, product innovation, enhanced customer experience, and new business models. However, challenges include issues around data ownership and control within these complex multi-stakeholder ecosystems.
International Journal of Information Technologies & Intelligent Information Systems(ITI)is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of software engineering & applications.
IRJET- Scope of Big Data Analytics in Industrial DomainIRJET Journal
This document discusses the scope of big data analytics in industrial domains. It begins by defining big data and its key characteristics, known as the "7 V's" - volume, velocity, variety, variability, veracity, value, and volatility. It then discusses how big data is generated in various fields like social media, search engines, healthcare, online shopping, and stock exchanges. The document focuses on how big data analytics can be applied in industrial Internet of Things (IoT) to extract meaningful information from large and continuous data streams generated by IoT devices using machine learning techniques.
International Journal of Information Technologies & Intelligent Information Systems(ITI) is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of software engineering & applications.
The document summarizes the International Journal of Information Technologies & Intelligent Information Systems (ITI). It is a bi-monthly peer-reviewed journal that publishes articles on software engineering and applications. The goal is to bring together researchers and practitioners to advance the field. Topics of interest include accessibility, cloud computing, data mining, e-government, information security, and more. Authors are invited to submit original papers by June 6, 2020 through the journal's online submission system.
International Journal of Information Technologies & Intelligent Information Systems(ITI) is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of software engineering & applications.
International Journal of Information Technologies & Intelligent Information Systems(ITI)is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of software engineering & applications.
International Journal of Information Technologies & Intelligent Information Systems(ITI)is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications.
The core of the development of the consumer Internet of Things is to improve user experience, cultivate usage habits, enhance user stickiness, and then obtain more valuable user data and realize data value-added.
International Journal of Information Technologies & Intelligent Information S...MiajackB
International Journal of Information Technologies & Intelligent Information Systems(ITI)is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of software engineering & applications.
How Manufacturers Can Unlock Business Value via IoT AnalyticsCognizant
Internet of Things (IoT) analytics presents manufacturers with a vast opportunity to drive revenues and enhance operations, from real-time analytics at the edge of technologies (consumer products, instrumented devices, manufacturing machines, etc.) through systems to evaluate and act on the plethora of detailed insights IoT provides. We offer a roadmap for manufacturers to pursue this crucial monetizing analytics opportunity.
International Journal of Information Technologies & Intelligent Information S...MiajackB
International Journal of Information Technologies & Intelligent Information Systems(ITI)is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of software engineering & applications.
International Journal of Information Technologies & Intelligent Information S...MiajackB
International Journal of Information Technologies & Intelligent Information Systems(ITI)is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of software engineering & applications.
This document provides an overview of big data, including its definition, characteristics, examples, analysis methods, and challenges. It discusses how big data is characterized by its volume, variety, and velocity. Examples of big data are given from various industries like healthcare, retail, manufacturing, and web/social media. Analysis methods for big data like MapReduce, Hadoop, and HPCC are described and compared. The document also covers privacy and security issues that arise from big data analytics.
Insight into IoT Applications and Common Practice Challengesijtsrd
IoT caused a revolution in the technological world. Not only is the IoT related to computers, people or cell phones but also to various sensors, actuators, vehicles, and other modern appliances. There are around 14 billion interconnected digital devices across the globe i.e. almost 2 devices per human being on earth. The IoT serves as a medium to connect non living things to the internet to transfer information from one point to another in their community network which automates processes and ultimately makes the life of human beings convenient. The subsequent result of amalgamating internet connectivity with powerful data analysis is a complete change in the way we humans work and live. The most vital characteristics of IoT include connectivity, active engagement, sensors, artificial intelligence, and small device use. All of this creates many challenges that need to be solved to keep this technology to continue expanding. In this paper, we have identified various applications of IoT based on recent technological and business trends and highlighted the existing challenges faced by IoT which need to be addressed considering the exponential acceptance of the concept globally and the way those challenges had been addressed in the past. We have also made a few comments on the way such challenges are being attempted to be resolved now. This paper presents the current status Internet of Things IoT in terms of technical details, and applications. Also, this paper opens a window for future work on the historical approach to study and address IoT challenges. Lubna Alazzawi | Jamal Alotaibi "Insight into IoT Applications and Common Practice Challenges" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30286.pdf Paper Url :https://www.ijtsrd.com/engineering/computer-engineering/30286/insight-into-iot-applications-and-common-practice-challenges/lubna-alazzawi
IRJET- A Smart Medical Monitoring Systems using Cloud Computing and Internet ...IRJET Journal
1. The document proposes a smart medical monitoring system using cloud computing and the Internet of Things. It presents an architecture called RMCPHI that uses body sensors, networks, communication modules, and cloud services to remotely monitor patient health data.
2. The RMCPHI architecture transfers sensor data through gateways to a medical information analysis platform where data is processed and statistics are generated. This allows quick decision making for remote health monitoring and management.
3. The system aims to improve remote patient monitoring by leveraging the flexible resources of cloud computing to handle large volumes of medical data generated by IoT sensors.
This document proposes an e-toll payment system using Azure cloud that automates toll gate payments. The system uses RFID tags attached to vehicles with their registration number embedded. When a vehicle reaches the toll gate, the RFID reader obtains the registration number and sends it to the Azure cloud to check if payment was made using a mobile app. If payment was completed, the cloud responds to open the toll gate. This allows drivers to pay electronically without waiting in queues and avoids using cash. The system aims to reduce congestion and fuel consumption at toll plazas through automated payment verification and toll gate control.
Effect of Mixing and Compaction Temperatures on the Indirect Tensile Strength...IRJET Journal
This document proposes an e-toll payment system using Azure cloud that automates toll payments. A mobile app allows users to pay tolls digitally via wallet, credit/debit cards, or banking. Successful payments are recorded on Azure cloud along with the vehicle's RFID tag ID. At toll gates, RFID readers scan tags and check the cloud to see if payment was made. If so, the gate opens, streamlining the toll process and reducing congestion. The system aims to provide a more convenient cashless toll payment alternative compared to existing smart card or queue-based systems.
IRJET- Internet of Things for Industries and EnterprisesIRJET Journal
This document discusses how the Internet of Things (IoT) can benefit industries and enterprises. It begins with an introduction to the IoT and its growth and impact. It then presents the IoT ecosystem, which includes hardware, software, and network technology developers, as well as users. A five-layer IoT architecture is described including a perception layer, network layer, processing layer, application layer, and service management layer. Examples of IoT applications that can enhance value for industries are also provided, such as monitoring and control, business analytics, and information sharing. Finally, challenges of IoT development for enterprises are discussed, including issues around data management, data mining, privacy, security, and complexity.
This document provides an overview of Internet of Things (IoT) technology including:
1) Definitions of IoT and its importance for enabling innovation and new business models across industries.
2) Reviews key global players in IoT like Cisco, IBM, Microsoft, Intel, and identifies their IoT platforms and products.
3) Discusses trends in IoT technology and example applications in sectors like smart cities, factories, homes, and vehicles.
Designing for Manufacturing's 'Internet of Things'Cognizant
The deeper meshing of virtual and physical machines offers the potential to truly transform the manufacturing value chain, from suppliers through customers, and at every touchpoint along the way.
Reaping the Benefits of the Internet of ThingsCognizant
Before they can realize the potential of the Internet of Things, organizations must deal with shortcomings in IT standards, skill sets, and data and infrastructure management capabilities.
The document discusses the Internet of Things (IoT), which refers to a global network of machines and devices that can interact with each other. It identifies five essential IoT technologies - radio frequency identification, wireless sensor networks, middleware, cloud computing, and IoT application software. It also examines three categories of enterprise IoT applications - monitoring and control, big data and business analytics, and information sharing and collaboration. Finally, it discusses challenges of IoT implementation including data management, privacy, security, and integration complexity.
IRJET - Industry 4.0 for Manufacturing Organization in IndiaIRJET Journal
This document discusses the impact of Industry 4.0 on manufacturing organizations in India. Industry 4.0 utilizes technologies like cyber-physical systems, the Internet of Things, cloud computing, big data, and artificial intelligence to connect machines, supply chains and systems. The summary discusses key elements of Industry 4.0, including cyber-physical systems, cloud computing, smart factories, and RFID technology. It also reviews literature on how Industry 4.0 affects skills required by manufacturing departments and maintenance processes. The research method used to study this impact is described as involving a literature review, defining research objectives, designing a survey, collecting and analyzing responses, and developing recommendations.
A Bibliometric Review of the Evolution of Building Information Modeling (BIM)...Khaled gharib
Building Information Modeling (BIM) is a powerful tool that
allows architects, engineers, and construction professionals to
create detailed 3D models of buildings, which contain a wealth
data about the physical characteristics and attributes of the
project, one of the key benefits that it allows stakeholders to
visualize the project in great detail, which can help identify
potential problems or inefficiencies before construction even
begins. However, BIM data is static and does not reflect
changes or updates that occur after construction is complete.
As the construction industry continues to modernize, Building
Information Modeling (BIM) has become a staple in the design
and construction phases of a project. The widespread adoption
of Building Information Modeling (BIM) and the recent
emergence of Internet of Things (IoT) applications offer several
new insights and decision-making capabilities throughout the
life cycle of the built environment. In recent years, the ability of
real-time connectivity to online sensors deployed in an
environment has led to the emergence of the concept of the
Digital Twin of the built environment. This is where the concept
of the digital twin has emerged to revolutionize the way
buildings are managed and operated throughout their entire
lifecycle. A digital twin is a virtual replica of a physical asset or
system that incorporates real-time data from sensors and other
sources, by connecting BIM models to IoT sensors and other
data sources, it is possible to create a dynamic digital twin that
can provide real-time insights into the performance and
condition of a building. Overall, the integration of BIM and IoT
into digital twins offers a powerful tool for designers, engineers,
and building managers to optimize the performance and
efficiency of buildings. This paper conduct a bibliometric review
over the evolution of BIM to DT, examining the benefits of each
technology and how Digital Twin expand on the capabilities of
BIM. The paper also will discuss Digital Twin and BIM in the
industry, discussing real-world applications and the tangible
benefits that organizations have experienced. Ultimately, this
paper highlights the importance of embracing new
technologies like Digital Twins to achieve optimal efficiency and
cost savings in the building industry
Analyzing Role of Big Data and IoT in Smart CitiesIJAEMSJORNAL
Big data and Internet of Things (IoT) technologies have evolved and expanded tremendously and hence play a major role in building feasible initiatives for smart city development. IoT and big data form a perfect blend in bringing an interesting and novel challenge to attain futuristic smart cities. These new challenges mainly focus on business and technology related issues that help smart cities to formulate their principles, vision, & requirements of smart city applications. In this paper, the role of big data and IoT technologies with respect to smart cities is analyzed. The benefits that smart cities will have from big data and IoT are also discussed. Various challenges faced by smart cities in general related to big data and IoT have also been described here. Moreover, the future statistics of IoT and big data with respect to smart cities is also deliberated.
Attaining IoT Value: How To Move from Connecting Things to Capturing InsightsSustainable Brands
Cisco estimates that the Internet of Everything (IoE) — the networked connection of people, process, data, and things — will generate $19 trillion in Value at Stake for the private and public sectors combined between 2013 and 2022. More than 42 percent of this value — $8 trillion — will come from one of IoE’s chief enablers, the Internet of Things (IoT). Defined by Cisco as “the intelligent connectivity of physical devices, driving massive gains in efficiency, business growth, and quality of life,” IoT often represents the quickest path to IoE value for private and public sector organizations.
This paper combines original and secondary research, as well as economic analysis, to provide a roadmap for maximizing value from IoT investments. It also explains why, in the worlds of IoT and IoE, the combination of edge computing/analytics and data center/cloud is essential to driving actionable insights that produce improved business outcomes.
The document discusses digital transformation, Industry 4.0, and the Internet of Things. It defines Industry 4.0 as the current trend of automation and data exchange in manufacturing technologies. Industry 4.0 focuses on production processes within smart factories, while the Internet of Things focuses on the utilization of connected devices. The document also introduces concepts like cyber-physical systems, smart engineering, and smart factories, and discusses how they relate to digital transformation and each other.
Internet of Things Insights of Applications in Research and Innovation to Int...ijtsrd
In existing world IOT find a great attention from researchers, it becomes an vital technology that offers a well defined communications between objects and machines. That will offer immediate access to information about the real world and objects in it leading to innovative facilities and increase in effectiveness and output. The IoT developments address the whole IoT spectrum form the devices at the edge to cloud and data centres on the backend and everything in between through ecosystems are generated by industry, research and application stakeholders that enable real world use cases to quicken the in IoT and establish open interoperability standards and common architectures for IoT solutions. This paper studies the perception of many IoT applications and innovation of original connected technologies to the challenges that in front of the execution of the IoT. Deepika Bairagee | Aditya Sharma "Internet of Things: Insights of Applications in Research and Innovation to Integrated Ecosystem" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31213.pdf Paper Url :https://www.ijtsrd.com/computer-science/other/31213/internet-of-things-insights-of-applications-in-research-and-innovation-to-integrated-ecosystem/deepika-bairagee
Here's how big data and the Internet of Things work together: a vast network of sensors (IoT) collect a boatload of information (big data) that is then used to improve services and products in various industries, which in turn generate revenue.
Impact of the Internet of Things on ManufacturersPTC
We live in a smart, connected world. As products have evolved, their capabilities have multiplied, creating new forms of value and even doing things well beyond their primary function. The impact is a fundamental transformation of how manufacturers create and exchange value with customers. Those who don’t participate place their current competitive advantage at risk.
Big Data idea implementation in organizations: potential, roadblocksIRJET Journal
This document discusses big data implementation in organizations and the potential opportunities and challenges. It begins by defining big data and explaining the key drivers of increasing data volumes, such as social media, the internet of things, and multimedia data. It then outlines some of the major benefits organizations can gain from big data, including improved decision making, customer experiences, and sales. However, successfully implementing big data also faces roadblocks such as selecting the right tools, techniques, and data sources. The document provides examples of technologies, methods, and skills needed to optimize big data initiatives.
The expansion of the Internet of Things IoT implies progressively dynamic client gadgets on the Internet. IoT devices can be ordinary articles from vehicles, advanced mobile phones to wearable sensors. Huge measures of information are produced by IoT devices through the assortment and transmission of information required for the yield of valuable results and in this way, an ef cient approach to work is significant. In the public eye today, mobile communication and mobile computing play a critical job in each part of our lives, both individual and open correspondence. By utilizing Cloud Computing with IoT, data computations are situated outside the devices henceforth diminishing the strain on the devices themselves. IoT devices are additionally frequently portable and with versatility comes the need to have wireless connections to the cloud. Therefore, Mobile Cloud Computing MCC gets appropriate. However, the development in mobile computing use can be improved by coordinating portable figuring into distributed computing. This will bring about developing another model called Mobile Cloud Computing MCC that has as of late pulled in a lot of consideration in the academic sector. This paper investigates its features, advantages, applications, and difficulties of Mobile Cloud Computing. Research endeavours towards the execution of Mobile Computing are additionally talked about giving an understanding of the fate of the innovation. Sujay Sudhakar Parkhe "Smart Computing: Mobile + Cloud" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30340.pdf Paper Url :https://www.ijtsrd.com/computer-science/other/30340/smart-computing-mobile--cloud/sujay-sudhakar-parkhe
The document discusses how high-tech companies can take advantage of opportunities presented by the Internet of Things (IoT). It defines the IoT as a global system of interconnected sensors and devices. By 2020, there will be nearly 50 billion Internet-connected devices. For high-tech companies, the IoT creates opportunities to increase sales through new business models, personalized offerings, and adjacent services. It also allows companies to improve operations through proactive maintenance, counterfeit detection, and partnering with manufacturers. However, to fully realize the potential of the IoT, high-tech companies will need to retool their products, services, and partnerships.
The Internet of Things: Impact and Applications in the High-Tech IndustryCognizant
The document discusses how high-tech companies can take advantage of opportunities presented by the growing Internet of Things (IoT). It defines the IoT and describes how by 2020 there will be nearly 50 billion internet-connected devices. It then discusses how the IoT will impact and provide opportunities for various parts of the high-tech industry, including semiconductor companies, contract manufacturers, distributors, and OEMs. It provides examples of how the IoT can help companies increase sales through new business models and contextual offerings. It also discusses how the IoT can help improve operations through applications like predictive maintenance, yield management, and counterfeit detection.
Square transposition: an approach to the transposition process in block cipherjournalBEEI
The transposition process is needed in cryptography to create a diffusion effect on data encryption standard (DES) and advanced encryption standard (AES) algorithms as standard information security algorithms by the National Institute of Standards and Technology. The problem with DES and AES algorithms is that their transposition index values form patterns and do not form random values. This condition will certainly make it easier for a cryptanalyst to look for a relationship between ciphertexts because some processes are predictable. This research designs a transposition algorithm called square transposition. Each process uses square 8 × 8 as a place to insert and retrieve 64-bits. The determination of the pairing of the input scheme and the retrieval scheme that have unequal flow is an important factor in producing a good transposition. The square transposition can generate random and non-pattern indices so that transposition can be done better than DES and AES.
Hyper-parameter optimization of convolutional neural network based on particl...journalBEEI
The document proposes using a particle swarm optimization (PSO) algorithm to optimize the hyperparameters of a convolutional neural network (CNN) for image classification. The PSO algorithm is used to find optimal values for CNN hyperparameters like the number and size of convolutional filters. In experiments on the MNIST handwritten digit dataset, the optimized CNN achieved a testing error rate of 0.87%, which is competitive with state-of-the-art models. The proposed approach finds optimized CNN architectures automatically without requiring manual design or encoding strategies during training.
Supervised machine learning based liver disease prediction approach with LASS...journalBEEI
In this contemporary era, the uses of machine learning techniques are increasing rapidly in the field of medical science for detecting various diseases such as liver disease (LD). Around the globe, a large number of people die because of this deadly disease. By diagnosing the disease in a primary stage, early treatment can be helpful to cure the patient. In this research paper, a method is proposed to diagnose the LD using supervised machine learning classification algorithms, namely logistic regression, decision tree, random forest, AdaBoost, KNN, linear discriminant analysis, gradient boosting and support vector machine (SVM). We also deployed a least absolute shrinkage and selection operator (LASSO) feature selection technique on our taken dataset to suggest the most highly correlated attributes of LD. The predictions with 10 fold cross-validation (CV) made by the algorithms are tested in terms of accuracy, sensitivity, precision and f1-score values to forecast the disease. It is observed that the decision tree algorithm has the best performance score where accuracy, precision, sensitivity and f1-score values are 94.295%, 92%, 99% and 96% respectively with the inclusion of LASSO. Furthermore, a comparison with recent studies is shown to prove the significance of the proposed system.
A secure and energy saving protocol for wireless sensor networksjournalBEEI
The research domain for wireless sensor networks (WSN) has been extensively conducted due to innovative technologies and research directions that have come up addressing the usability of WSN under various schemes. This domain permits dependable tracking of a diversity of environments for both military and civil applications. The key management mechanism is a primary protocol for keeping the privacy and confidentiality of the data transmitted among different sensor nodes in WSNs. Since node's size is small; they are intrinsically limited by inadequate resources such as battery life-time and memory capacity. The proposed secure and energy saving protocol (SESP) for wireless sensor networks) has a significant impact on the overall network life-time and energy dissipation. To encrypt sent messsages, the SESP uses the public-key cryptography’s concept. It depends on sensor nodes' identities (IDs) to prevent the messages repeated; making security goals- authentication, confidentiality, integrity, availability, and freshness to be achieved. Finally, simulation results show that the proposed approach produced better energy consumption and network life-time compared to LEACH protocol; sensors are dead after 900 rounds in the proposed SESP protocol. While, in the low-energy adaptive clustering hierarchy (LEACH) scheme, the sensors are dead after 750 rounds.
Plant leaf identification system using convolutional neural networkjournalBEEI
This paper proposes a leaf identification system using convolutional neural network (CNN). This proposed system can identify five types of local Malaysia leaf which were acacia, papaya, cherry, mango and rambutan. By using CNN from deep learning, the network is trained from the database that acquired from leaf images captured by mobile phone for image classification. ResNet-50 was the architecture has been used for neural networks image classification and training the network for leaf identification. The recognition of photographs leaves requested several numbers of steps, starting with image pre-processing, feature extraction, plant identification, matching and testing, and finally extracting the results achieved in MATLAB. Testing sets of the system consists of 3 types of images which were white background, and noise added and random background images. Finally, interfaces for the leaf identification system have developed as the end software product using MATLAB app designer. As a result, the accuracy achieved for each training sets on five leaf classes are recorded above 98%, thus recognition process was successfully implemented.
Customized moodle-based learning management system for socially disadvantaged...journalBEEI
This study aims to develop Moodle-based LMS with customized learning content and modified user interface to facilitate pedagogical processes during covid-19 pandemic and investigate how teachers of socially disadvantaged schools perceived usability and technology acceptance. Co-design process was conducted with two activities: 1) need assessment phase using an online survey and interview session with the teachers and 2) the development phase of the LMS. The system was evaluated by 30 teachers from socially disadvantaged schools for relevance to their distance learning activities. We employed computer software usability questionnaire (CSUQ) to measure perceived usability and the technology acceptance model (TAM) with insertion of 3 original variables (i.e., perceived usefulness, perceived ease of use, and intention to use) and 5 external variables (i.e., attitude toward the system, perceived interaction, self-efficacy, user interface design, and course design). The average CSUQ rating exceeded 5.0 of 7 point-scale, indicated that teachers agreed that the information quality, interaction quality, and user interface quality were clear and easy to understand. TAM results concluded that the LMS design was judged to be usable, interactive, and well-developed. Teachers reported an effective user interface that allows effective teaching operations and lead to the system adoption in immediate time.
Understanding the role of individual learner in adaptive and personalized e-l...journalBEEI
Dynamic learning environment has emerged as a powerful platform in a modern e-learning system. The learning situation that constantly changing has forced the learning platform to adapt and personalize its learning resources for students. Evidence suggested that adaptation and personalization of e-learning systems (APLS) can be achieved by utilizing learner modeling, domain modeling, and instructional modeling. In the literature of APLS, questions have been raised about the role of individual characteristics that are relevant for adaptation. With several options, a new problem has been raised where the attributes of students in APLS often overlap and are not related between studies. Therefore, this study proposed a list of learner model attributes in dynamic learning to support adaptation and personalization. The study was conducted by exploring concepts from the literature selected based on the best criteria. Then, we described the results of important concepts in student modeling and provided definitions and examples of data values that researchers have used. Besides, we also discussed the implementation of the selected learner model in providing adaptation in dynamic learning.
Prototype mobile contactless transaction system in traditional markets to sup...journalBEEI
1) Researchers developed a prototype contactless transaction system using QR codes and digital payments to support physical distancing during the COVID-19 pandemic in traditional markets.
2) The system allows sellers and buyers in traditional markets to conduct fast, secure transactions via smartphones without direct cash exchange. Buyers scan sellers' QR codes to view product details and make e-wallet payments.
3) Testing showed the system's functions worked properly and users found it easy to use and useful for supporting contactless transactions and digital transformation of traditional markets. However, further development is needed to increase trust in digital payments for users unfamiliar with the technology.
Wireless HART stack using multiprocessor technique with laxity algorithmjournalBEEI
The use of a real-time operating system is required for the demarcation of industrial wireless sensor network (IWSN) stacks (RTOS). In the industrial world, a vast number of sensors are utilised to gather various types of data. The data gathered by the sensors cannot be prioritised ahead of time. Because all of the information is equally essential. As a result, a protocol stack is employed to guarantee that data is acquired and processed fairly. In IWSN, the protocol stack is implemented using RTOS. The data collected from IWSN sensor nodes is processed using non-preemptive scheduling and the protocol stack, and then sent in parallel to the IWSN's central controller. The real-time operating system (RTOS) is a process that occurs between hardware and software. Packets must be sent at a certain time. It's possible that some packets may collide during transmission. We're going to undertake this project to get around this collision. As a prototype, this project is divided into two parts. The first uses RTOS and the LPC2148 as a master node, while the second serves as a standard data collection node to which sensors are attached. Any controller may be used in the second part, depending on the situation. Wireless HART allows two nodes to communicate with each other.
Implementation of double-layer loaded on octagon microstrip yagi antennajournalBEEI
This document describes the implementation of a double-layer structure on an octagon microstrip yagi antenna (OMYA) to improve its performance at 5.8 GHz. The double-layer consists of two double positive (DPS) substrates placed above the OMYA. Simulation and experimental results show that the double-layer configuration increases the gain of the OMYA by 2.5 dB compared to without the double-layer. The measured bandwidth of the OMYA with double-layer is 14.6%, indicating the double-layer can increase both the gain and bandwidth of the OMYA.
The calculation of the field of an antenna located near the human headjournalBEEI
In this work, a numerical calculation was carried out in one of the universal programs for automatic electro-dynamic design. The calculation is aimed at obtaining numerical values for specific absorbed power (SAR). It is the SAR value that can be used to determine the effect of the antenna of a wireless device on biological objects; the dipole parameters will be selected for GSM1800. Investigation of the influence of distance to a cell phone on radiation shows that absorbed in the head of a person the effect of electromagnetic radiation on the brain decreases by three times this is a very important result the SAR value has decreased by almost three times it is acceptable results.
Exact secure outage probability performance of uplinkdownlink multiple access...journalBEEI
In this paper, we study uplink-downlink non-orthogonal multiple access (NOMA) systems by considering the secure performance at the physical layer. In the considered system model, the base station acts a relay to allow two users at the left side communicate with two users at the right side. By considering imperfect channel state information (CSI), the secure performance need be studied since an eavesdropper wants to overhear signals processed at the downlink. To provide secure performance metric, we derive exact expressions of secrecy outage probability (SOP) and and evaluating the impacts of main parameters on SOP metric. The important finding is that we can achieve the higher secrecy performance at high signal to noise ratio (SNR). Moreover, the numerical results demonstrate that the SOP tends to a constant at high SNR. Finally, our results show that the power allocation factors, target rates are main factors affecting to the secrecy performance of considered uplink-downlink NOMA systems.
Design of a dual-band antenna for energy harvesting applicationjournalBEEI
This report presents an investigation on how to improve the current dual-band antenna to enhance the better result of the antenna parameters for energy harvesting application. Besides that, to develop a new design and validate the antenna frequencies that will operate at 2.4 GHz and 5.4 GHz. At 5.4 GHz, more data can be transmitted compare to 2.4 GHz. However, 2.4 GHz has long distance of radiation, so it can be used when far away from the antenna module compare to 5 GHz that has short distance in radiation. The development of this project includes the scope of designing and testing of antenna using computer simulation technology (CST) 2018 software and vector network analyzer (VNA) equipment. In the process of designing, fundamental parameters of antenna are being measured and validated, in purpose to identify the better antenna performance.
Transforming data-centric eXtensible markup language into relational database...journalBEEI
eXtensible markup language (XML) appeared internationally as the format for data representation over the web. Yet, most organizations are still utilising relational databases as their database solutions. As such, it is crucial to provide seamless integration via effective transformation between these database infrastructures. In this paper, we propose XML-REG to bridge these two technologies based on node-based and path-based approaches. The node-based approach is good to annotate each positional node uniquely, while the path-based approach provides summarised path information to join the nodes. On top of that, a new range labelling is also proposed to annotate nodes uniquely by ensuring the structural relationships are maintained between nodes. If a new node is to be added to the document, re-labelling is not required as the new label will be assigned to the node via the new proposed labelling scheme. Experimental evaluations indicated that the performance of XML-REG exceeded XMap, XRecursive, XAncestor and Mini-XML concerning storing time, query retrieval time and scalability. This research produces a core framework for XML to relational databases (RDB) mapping, which could be adopted in various industries.
Key performance requirement of future next wireless networks (6G)journalBEEI
The document provides an overview of the key performance indicators (KPIs) for 6G wireless networks compared to 5G networks. Some of the major KPIs discussed for 6G include: achieving data rates of up to 1 Tbps and individual user data rates up to 100 Gbps; reducing latency below 10 milliseconds; supporting up to 10 million connected devices per square kilometer; improving spectral efficiency by up to 100 times through technologies like terahertz communications and smart surfaces; and achieving an energy efficiency of 1 pico-joule per bit transmitted through techniques like wireless power transmission and energy harvesting. The document outlines how 6G aims to integrate terrestrial, aerial and maritime communications into a single network to provide ubiquitous connectivity with higher
Noise resistance territorial intensity-based optical flow using inverse confi...journalBEEI
This paper presents the use of the inverse confidential technique on bilateral function with the territorial intensity-based optical flow to prove the effectiveness in noise resistance environment. In general, the image’s motion vector is coded by the technique called optical flow where the sequences of the image are used to determine the motion vector. But, the accuracy rate of the motion vector is reduced when the source of image sequences is interfered by noises. This work proved that the inverse confidential technique on bilateral function can increase the percentage of accuracy in the motion vector determination by the territorial intensity-based optical flow under the noisy environment. We performed the testing with several kinds of non-Gaussian noises at several patterns of standard image sequences by analyzing the result of the motion vector in a form of the error vector magnitude (EVM) and compared it with several noise resistance techniques in territorial intensity-based optical flow method.
Modeling climate phenomenon with software grids analysis and display system i...journalBEEI
This study aims to model climate change based on rainfall, air temperature, pressure, humidity and wind with grADS software and create a global warming module. This research uses 3D model, define, design, and develop. The results of the modeling of the five climate elements consist of the annual average temperature in Indonesia in 2009-2015 which is between 29oC to 30.1oC, the horizontal distribution of the annual average pressure in Indonesia in 2009-2018 is between 800 mBar to 1000 mBar, the horizontal distribution the average annual humidity in Indonesia in 2009 and 2011 ranged between 27-57, in 2012-2015, 2017 and 2018 it ranged between 30-60, during the East Monsoon, the wind circulation moved from northern Indonesia to the southern region Indonesia. During the west monsoon, the wind circulation moves from the southern part of Indonesia to the northern part of Indonesia. The global warming module for SMA/MA produced is feasible to use, this is in accordance with the value given by the validate of 69 which is in the appropriate category and the response of teachers and students through a 91% questionnaire.
An approach of re-organizing input dataset to enhance the quality of emotion ...journalBEEI
The purpose of this paper is to propose an approach of re-organizing input data to recognize emotion based on short signal segments and increase the quality of emotional recognition using physiological signals. MIT's long physiological signal set was divided into two new datasets, with shorter and overlapped segments. Three different classification methods (support vector machine, random forest, and multilayer perceptron) were implemented to identify eight emotional states based on statistical features of each segment in these two datasets. By re-organizing the input dataset, the quality of recognition results was enhanced. The random forest shows the best classification result among three implemented classification methods, with an accuracy of 97.72% for eight emotional states, on the overlapped dataset. This approach shows that, by re-organizing the input dataset, the high accuracy of recognition results can be achieved without the use of EEG and ECG signals.
Parking detection system using background subtraction and HSV color segmentationjournalBEEI
Manual system vehicle parking makes finding vacant parking lots difficult, so it has to check directly to the vacant space. If many people do parking, then the time needed for it is very much or requires many people to handle it. This research develops a real-time parking system to detect parking. The system is designed using the HSV color segmentation method in determining the background image. In addition, the detection process uses the background subtraction method. Applying these two methods requires image preprocessing using several methods such as grayscaling, blurring (low-pass filter). In addition, it is followed by a thresholding and filtering process to get the best image in the detection process. In the process, there is a determination of the ROI to determine the focus area of the object identified as empty parking. The parking detection process produces the best average accuracy of 95.76%. The minimum threshold value of 255 pixels is 0.4. This value is the best value from 33 test data in several criteria, such as the time of capture, composition and color of the vehicle, the shape of the shadow of the object’s environment, and the intensity of light. This parking detection system can be implemented in real-time to determine the position of an empty place.
Quality of service performances of video and voice transmission in universal ...journalBEEI
The universal mobile telecommunications system (UMTS) has distinct benefits in that it supports a wide range of quality of service (QoS) criteria that users require in order to fulfill their requirements. The transmission of video and audio in real-time applications places a high demand on the cellular network, therefore QoS is a major problem in these applications. The ability to provide QoS in the UMTS backbone network necessitates an active QoS mechanism in order to maintain the necessary level of convenience on UMTS networks. For UMTS networks, investigation models for end-to-end QoS, total transmitted and received data, packet loss, and throughput providing techniques are run and assessed and the simulation results are examined. According to the results, appropriate QoS adaption allows for specific voice and video transmission. Finally, by analyzing existing QoS parameters, the QoS performance of 4G/UMTS networks may be improved.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Digital Twins Computer Networking Paper Presentation.pptxaryanpankaj78
A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...PriyankaKilaniya
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
Gas agency management system project report.pdfKamal Acharya
The project entitled "Gas Agency" is done to make the manual process easier by making it a computerized system for billing and maintaining stock. The Gas Agencies get the order request through phone calls or by personal from their customers and deliver the gas cylinders to their address based on their demand and previous delivery date. This process is made computerized and the customer's name, address and stock details are stored in a database. Based on this the billing for a customer is made simple and easier, since a customer order for gas can be accepted only after completing a certain period from the previous delivery. This can be calculated and billed easily through this. There are two types of delivery like domestic purpose use delivery and commercial purpose use delivery. The bill rate and capacity differs for both. This can be easily maintained and charged accordingly.
1. Bulletin of Electrical Engineering and Informatics
Vol. 9, No. 4, August 2020, pp. 1646~1653
ISSN: 2302-9285, DOI: 10.11591/eei.v9i4.2359 1646
Journal homepage: http://beei.org
An overview of big data analysis
Fabio Arena, Giovanni Pau
Faculty of Engineering and Architecture, Kore University of Enna, Italy
Article Info ABSTRACT
Article history:
Received Feb 4, 2020
Revised Mar 23, 2020
Accepted Apr 15, 2020
Big data represents one of the most profound and most pervasive evolutions
in the digital world. Examples of big data come from Internet of Things (IoT)
devices, as well as smart cars, but also the use of social networks, industries,
and so on. The sources of data are numerous and continuously increasing,
and, therefore, what characterizes big data is not only the volume but also
the complexity due to the heterogeneity of information that can be obtained.
The fastest growth in spending on big data technologies is happening within
banking, healthcare, insurance, securities and investment services,
and telecommunications. Remarkably, three of those industries lie within
the financial sector, which has many particularly serviceable use cases for
big data analytics, such as fraud detection, risk management, and customer
service optimization. In fact, the definition of big data analysis refers to
the process that encompasses the gathering and analysis of big data to
obtain useful information for the business. This paper focuses on delivering
a short review concerning the current technologies, future perspectives,
and the evaluation of some use cased associated with the analysis of big data.
Keywords:
Big data
Big data analysis
Internet of Things
This is an open access article under the CC BY-SA license.
Corresponding Author:
Giovanni Pau,
Faculty of Engineering and Architecture,
Kore University of Enna,
Cittadella Universitaria-94100 Enna, Italy.
Email: giovanni.pau@unikore.it
1. INTRODUCTION
Over the past 20 years, new digital technologies have developed to change our way of life radically [1-3].
Ever thinner smartphones, regularly smaller and more powerful processors, appliances that communicate
with each other, social media networks that know everything about us and on which we depend, have been
developed. The industry has made significant leaps to keep pace in an increasingly demanding market [4-6].
At the same time, companies frequently have to deal with limited resources and constraints imposed by
various national and international institutions. For instance, in Europe, there is the purpose of reducing
European industry consumption by 20% by 2020 [7]. As an outcome, the need to optimize production
processes through investments in the technological development of the factories is becoming increasingly
pressing [8]. The Internet of Things (IoT) is a network of physical objects that can be reached through
the Internet [9, 10]. These objects are daily things that contain integrated technology able to interact with
the external environment. IoT necessitates the development of many technologies currently designed by
the leading companies and leads to a list of ever-growing advantages [11, 12]. IoT applications cover many
features, from health [13-15] to home automation [16-19], from transport [20-24] to security [25-29].
For instance, by spreading a set of sensors and processors, it is possible to control the windows, the temperature
of the house, the lights, and other home appliances wirelessly [30, 31]. Another application case is represented
by the cities, which can be developed more intelligent and efficient thanks to the interconnection of smart
objects. For instance, thanks to the IoT, the traffic lights can be connected to a camera circuit, disseminated
2. Bulletin of Electr Eng & Inf ISSN: 2302-9285
An overview of big data analysis (Fabio Arena)
1647
everywhere in the city, to identify the traffic level and mass movements, then avoiding possible inconveniences
preventively [32-34]. As it is possible to perceive, the IoT opens up a world of limitless possibilities,
more extensive than those offered a few years ago from the digital age. The creation of the IoT would have
been much more complicated if a big data structure had not been followed since the latter allows analyzing
vast amounts of data [35-37]. The multifaceted nature of big data is mainly due to the unstructured design
of most of the data produced by modern technologies, such as web registers, radio frequency identification
(RFID), sensors embedded in devices, machinery, vehicles, Internet searches, social networks, laptops,
smartphones, GPS devices, and call center records [38-40].
Several studies have revealed that the use of big data represents one of the qualifying marks of
the metamorphosis that is taking place in production processes [41-44]. Among these studies, the most notable are
those carried by McKinsey & Company [45], by Boston Consulting, and the Milan Polytechnic Observatory [46].
For instance, from their investigations, it can be perceived that the fourth industrial revolution concentrates
on the enactment of fascinating essential technologies labeled as enablers. Furthermore, big data analysis
represents those techniques for the management of quite large measures of data, accomplished by open
methods that yield forecasts or prognostications. The current competitive business environment is forcing
companies to process high-speed data and integrate valuable information into production processes. As stated
by Forrester Research [47], through interviews with experts in the field, the use cases of big data analysis
mainly fall into three groups:
‒ Efficiency and management of operational risks; the study of big data practiced to risk minimization in
financial processes, asset management, human resources, and the supply chain
‒ Security and application performance through predictive examination and big data analysis
‒ Employed in information technologies monitoring; they serve to prevent problems in affording services
and managing events in real-time. The analysis models use the datalog produced by servers and network
devices to evaluate performance levels, find bottlenecks, and other features
‒ Knowledge and services to customers: this category includes all the solutions and applications for big
data analysis used for marketing and sales projects, for product development, but also for optimizing
the digital experience
This paper focuses on delivering a short review concerning the current technologies, future
perspectives, and the evaluation of some use cased associated with the analysis of Big Data. Section 2
presents a summary of several case studies that have been published in this research field, while section 3
concludes the paper.
2. CASE STUDIES
The first study taken into account treats the use of big data analysis aimed at improving customer
loyalty programs [48]. In the era of cloud computing, cyber-physical systems, the Internet of Things and big
data analysis, every user click on search engines, social networks, and e-commerce portals produce data,
which represent for the companies an added value [49]. For this reason, the adoption of big data analysis in
retention strategies is worthwhile not only for the attainment of new customers but also to enhance the profits
generated by pre-existing clients, as it allows the industries to adapt their productive strategies directly to
the needs of consumers, thus seeking to maximize revenues. The approach introduced in [48] is based on
the use of software as a service (SaaS) to gather data from an e-commerce platform and analyze them to
provide the users of the portal a list of recommended products. This solution, shown in Figure 1, is made up
of an e-commerce platform, a dashboard accessible to the company’s marketing operators, an Event Bus,
a NoSQL database, a Streaming Manager, a Machine Learning Cluster, and an Email Marketing Microservice.
The case study is composed of a multinational corporation. Buyers perform purchases through
the company’s e-commerce platform, producing data on their inclinations. Subsequently, a marketing
character delivers a pre-analysis of these data to create a pre-selection of candidates for the loyalty program
based on different criteria, which can be the geographical location, the number of orders placed or canceled,
and the product reviews made. Subsequently, at each occurrence of a portal event, such as a purchase or review,
the corresponding data will be directed into the Event Bus. The latter has the dual task of transferring
unstructured information (i.e., user profiles, geolocation data, assessments, and so on) to both a NoSQL
database and the Streaming manager. They, in turn, sends them to the Machine Learning Cluster, on which
stays the "Recommendation" algorithm, which has the assignment of associating each candidate client with
a list of suggested products and is executed for each new entry. These two last components work as batch
processes. Furthermore, the interconnection and data transfer between the various parts of the SaaS is carried
out through a scalable asynchronous bus.
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Figure 1. System architecture
The second study under consideration is part of the smart energy sector and concerns the use of data
analysis to optimize energy consumption in IoT contexts. The case study proposed by the authors is based on
the analysis of the additive manufactory (AM) production process, which uses the selective laser sintering (SLS)
technique [50] and which consists of high energy consumption with a high production yield [51].
The energy consumption of the entire production process can be represented by the sum of energy
consumption of different machines. For each complete production process, the total energy consumption
varies due to the different production conditions and the different work environments. Furthermore,
the power of a distinct subsystem, which is different for each subsystem, is difficult to determine with
precision in real-time conditions.
In the era of Industry 4.0, among the various key factors that drive industrial development,
the attention is focused on the environmental impact that can generate particular production processes.
Currently, it is estimated that industrial production activities use around 35% of the entire global electricity
supply and that they produce approximately 20% of total carbon emissions. Besides, over the past 20 years,
the top five manufacturing countries have experienced a 50% increase in their greenhouse gas emissions.
For this reason, in the industrial field, there are strong interests in trying to develop new approaches that
allow realizing sustainable production cycles but minimizing energy consumption. The institutions
are moving in this direction, such as Europe. The new European energy legislation requires industries to
reduce both their gas emissions and their energy use by 20% by 2020 [52]. It is recognized that the energy
efficiency of production processes usually is less than 30% and that, for some specific methods, energy losses
are dramatically high [53]. Consequently, the use of highly efficient energy through data analysis, in addition
to reducing production costs and expanding profit margins, can also have a positive impact on the associated
environmental and social problems. This condition would allow industries to fall within the constraints
imposed by international regulations.
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Another case study introduces an approach whose purpose is to develop an embryonic model for
predicting energy consumption in the manufacturing industry. In particular, the problem involves the prediction
of the energy consumption of an "Additive Manufacturing" system, because, due to the different correlations
between various properties associated to production, the reduction of the energy consumption of this process turns
out to be one of the most critical points of the research in this area [54, 55]. Before the coming
of Industry 4.0, considering the limited sensors or their apparent unrelatedness, several intangible factors,
such as the health conditions of the equipment, the competence of the personnel, the environmental
data, the temperature of the workspace and the noise of cut, were not considered for the analysis
of production processes.
Nowadays, however, in an industrial environment with large sensors capable of generating massive
amounts of data, it is possible to identify the correlation and the causal relationship of multi-source
information to reveal important hidden factors in man-machine interactions. For instance, in the presence
of the right lighting conditions in the production environment, it is possible to identify some critical latent
factors in temperature, environmental humidity, cutting noise and sound field distributions, as these can
influence the staff working efficiency, production quality, as well as energy consumption and performance
degradation of industrial machines. Recognizing this reasonable goal, an analysis based on large data sets,
collected from monitoring several factors, can help to improve the performance degradation prediction
model, to identify energy consumption trends and to provide additional knowledge through feedback to
achieve a better decision-making system concerning preventive maintenance and optimization of energy
consumption, as shown in Figure 2.
Figure 2. Decision-making scheme relating to preventive maintenance, aimed at saving energy consumption
A final case study concerns the so-called large-scale Data Ingestion of data from various devices in
the context of Industry 4.0 [56]. With the fourth industrial revolution, the IoT has taken on a significant role
in the development process, but this development still finds the import of heterogeneous and multi-source
devices on a large scale as a challenge. In the industrial sector, more and more sensors are being incorporated
into intelligent products, production equipment, and production monitoring. Smart production, which has
become a vital component of production in the Industry 4.0 era, is facing several challenges mainly related to
the following features:
‒ Heterogeneous data: There are different types of smart devices in a company. Each device has single or
multiple parameter sensors, with the consequent creation of heterogeneous data. The first great challenge
is to allow interaction among different data;
‒ Multi-source data: In addition to streaming data in real-time, there are also legacy applications that
manage existing devices in companies and that continue to use legacy software despite being dated or no
longer supported [57]. Streaming data can be analyzed in real-time. As shown in Figure 3, after the real-time
analysis and the original application, the device data can be divided into data streams, file data, or data in
relational databases. In this regard, the ingestion of all these heterogeneous data is the second major
challenge to be faced;
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‒ Large amounts of data: Recently, there has been an explosive growth in the category, speed, and volume
of data [58]. With the development of intelligent manufacturing technology, it is possible to predict that
the IoT will increase its data flows to unprecedented levels [59]. As a consequence, there will be the need
to develop new approaches that are increasingly effective both for the resolution of the storage and for
the querying of records in big data contexts.
Figure 3. Analysis of heterogeneous data
3. CONCLUSION
This paper aimed to present the advantages introduced by the extensive use of big data through
the examination of different approaches in the literature. To this end, some case studies have been explained
in which it has been revealed how the employment of data analysis brought countless benefits in investigated
scenarios; from energy saving to preventive maintenance, up to the timely adaptation of production through
data analysis carried out in the marketing departments of the companies. Initially, a general study focused on
Industry 4.0, and the analysis of big data has been evaluated. Afterward, the intentions to be accomplished in
the considered scenarios have been reported, as well as the advantages brought by the analysis of big data in
some case studies treated in industrial applications. In this sense, some methods introduced in the literature
have been acquainted and investigated, also presenting the results to highlight their strengths and weaknesses.
It has been found that in the various solutions examined, the analytical approach of big data yielded
meaningful profits. Moreover, the adoption of these solutions embodies an added value for all corporations
that aspire to prevail competitive on the market.
It is well known that investments in this field are crucial to pursuing this goal. Besides, from
the analysis carried out in this work, it is reasonable to emphasize some comprehensive evaluations: concerning
big data analysis in marketing strategies, considering that, for instance, every click of a user browsing
the web corresponds to a generated data stream, potentially containing his/her preference, the adoption
of data analysis could enable companies to identify trends in consumer preferences. As a result, it will be
possible to conduct specific marketing and customer loyalty campaigns based on this added value and to
adapt the production lines according to the compelling needs promptly; regarding big data analysis in
the detection of production anomalies, this procedure could yield the early detection of severe trends
and deviations in the products, which could lead to critical drawbacks in terms of economic losses and safety
in the use of consumer products; concerning big data analysis in the prediction of the energy consumption
of a production plant or a technological plant in green smart cities, it is crucial to emphasize how this
component turns out to be intelligent from the environmental point of view and of the economic revenues as
it can allow the plant operators to predict the energy consumption of the equipment and, potentially, find
various factors that negatively affect the energy expenditure of the industrial machinery, such as failures or
errors; in the use of big data analysis in preventive maintenance, the main advantages are measured in terms
of economic revenues, since its application in this area may allow for taking into account various factors
(environmental and non-environmental) that negatively influence the operation of machinery, through the
identification of intangible factors that more often than not escape the qualified technical personnel,
transforming themselves, consequently, into more significant revenues and even lower energy consumption;
regarding big data analysis in risk management, this method is fundamental in decision-making and in
predicting potentially dangerous situations if the study of these data is carried out, for instance, by artificial
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intelligence devices which, unlike of human personnel, would allow a safe prediction based on real-time data.
Moreover, in the automotive industry, there are more and more discussions about autonomous or driverless
vehicles. The possibility of being able to count on automated devices that process enormous amounts of data
in real-time can determine immense benefits to reduce any road accidents; in the case of the management
of data coming from heterogeneous devices, considering that within a company switched to Industry 4.0 data
flows of different types can be generated, their transformation into a unified format can lead to more efficient
data management; regarding big data analysis combined with the use of IoT in the monitoring of industrial plants,
the advantages consist in the opportunity of being able to implement, even for legacy industrial machinery, a
remote monitoring system in real-time, to observe the performance of the production plant at any time and in any
part of the world and even receive alarms regarding the occurrence of certain events.
Anyhow, the use of data analysis in an industrial environment can also involve disadvantages.
Indeed, the digitization of production also implies potential risks and threats in terms of cyber-attacks
and intrusions. Furthermore, the use of dedicated hardware supports, such as distributed computing systems
located inside the production plants, affects both economic factors and environmental impact as it will
require double energy expenditure due to both power supplies than cooling, weighing on energy costs.
In conclusion, it is conceivable to assert that the advantages brought by the use of the ITC in industrial
contexts far outweigh the disadvantages and that the companies that have not yet welcomed Industry 4.0,
in absolute terms, appear to be little competitive on the market compared to the competition. Hence, there
should be more considerable future involvement of industrialists as the potential benefits, as repeatedly stated
in this work, are various. Besides, thanks to the increasingly rapid technological development, in the future,
the negative factors could be concretely reduced to a minimum, first of all, the environmental impact deriving
from industrial production.
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BIOGRAPHIES OF AUTHORS
Fabio Arena received the Bachelor Degree in Telecommunication Engineer from University of
Catania in 2006. He also received the Master Degree in Telecommunication Engineering from
University of Catania in 2010. Currently, he is a Ph.D. student at Kore University of Enna.
His current research interests include intelligent transportation systems, driverless vehicles and
network architecture, big data analysis.
Giovanni Pau is an Associate Professor at Faculty of Engineering and Architecture, Kore
University of Enna, Italy. Prof. Pau received his Bachelor degree in Telematic Engineering from
University of Catania, Italy; and his Masters degree (cum Laude) in Telematic Engineering and
PhD from Kore University of Enna, Italy. Prof. Pau has published more than 65 papers in
journals and conferences and authored 1 book chapter. He serves as Associate Editor of several
journals. Moreover, he serves/served as a leading Guest Editor in several special issues.
He collaborates/collaborated with the organizing and technical program committees of several
conferences to prepare conference activities and is serving as a reviewer of several international
journals and conferences. His research interests include wireless sensor networks, soft
computing techniques, internet of things, and network security.