The recent technology innovation such as big data and its applications has been adopted widely in industries in order to deal with massive datasets. Through data integration, data analysis, and data interpretation, big data technologies can assist business stakeholders in gaining the benefits in their decision-making process. In this research, we hypothesize that combining several big data analytical

During recent years, globalization has had an impact on the competitive capacity of industries, forcing them to integrate their productive processes with other, geographically distributed, facilities. This requires the information systems that support such processes to interoperate. Significant attention has been paid to the development of ontology-based solutions, which are meant to tackle issues

This article aims to provide a better understanding of Augmented Reality Smart Glasses (ARSG) for assembly operators from two perspectives, namely, manufacturing engineering and technological maturity. A literature survey considers both these perspectives of ARSG. The article's contribution is an investigation of the current status as well as challenges for future development of ARSG regarding usage

Ports and terminals have evolved and from the 2010s have entered into a fifth stage of evolution characterized by their digital transformation and alignment with Industry 4.0 practices. Co-operation among agents is a key element and integration not only involves Port Authorities, Terminals and Port users and related Port Services Providers but the city, port's hinterland and well beyond the Global

Cyber-physical model-based solutions should rely on digital twins in which simulations are integrated with real-time sensory and manufacturing data. This paper highlights the benefits of information fusion with real-time locating systems (RTLS) and demonstrates how position and acceleration data can be utilised for the simulation-based analysis of product-specific activity times. The proposed digital

The cyber-physical systems (CPS) has emerged in the last decade and become one of the most cutting-edge research fields. CPS is a highly integrated system of communication, computing, and control strategies. Although CPS has been studied and applied in some fields such as intelligent transportation, intelligent manufacturing, intelligent buildings, and smart cities, there is a lack of research on CPS

This study used bibliometric analysis to investigate trends and knowledge in Industry 4.0 research. Overall Industry 4.0 research was compared with that focused on the plastics industry by using data collected from current literature in the field. The analysis was conducted using the Bibliometrix R-tool and VOSviewer software. The results indicated that: (1) “Internet of Things” was the most commonly

When modeling enterprises, it is necessary to capture, simplify, abstract, and organize a vast number of key organizational elements. These elements (e.g., organizational units, human resources, production processes, and IT systems) are frequently organized and modeled in the business and IT domains. The focus on modeling these domains casts aside other important domains for asset-intensive industries

Industry 4.0 is defined as a paradigm that integrates the latest technological inventions in Artificial Intelligence (AI), Communication, and Information technologies, among other domains. This integration is made to increase the levels of automation, efficiency, and productivity of production, in manufacturing and industrial processes. In particular, the actors of the production processes (Things

Supply chains (SCs) are dynamic networks subject to uncertainties and risks that may occur anywhere, anytime, and whose consequences affect the entities that comprise such SC, possibly affecting others. In fact, there are several examples wherein the occurrence of certain events resulted in considerable costs. Thus, it is important to ensure that SCs can apply preemptive measures, rather than just

In our present-day world, the global technological and industrial revolution is accelerating. The widespread application of new generation ICT (information and communication technologies), such as AI, VR (Virtual Reality)/AR (Augmented Reality)/XR (Extended Reality), IoT (the Internet of Things), and blockchain technology, has driven the emergence of the 6 G communication system. Building on the basis

COVID-19 is accelerating industrial information integration (III) for sustainable epidemic prevention and innovation design. It is important to emphasize that this interaction makes it reciprocal. To prevent COVID-19, the III of industrial sectors should be strengthened to encourage innovation for sustainable epidemic prevention. Accordingly, we studied the overall dynamic change trend of industrial

Integrating Wireless Sensor Networks (WSNs) and the Internet of Things (IoT) is to build a heterogeneous device network for connecting, sharing and storing their information in order to create the application environment as smart. It also helps in industrial automation to predict and build a fault-tolerant environment. The automation of industry can be made possible with the emergence of new developments

Industrie 4.0 and data analytics blur the separation of operational and information technology that prevailed for industrial automation over the last decades. Decentralized control systems for production plants and robot cells collaborate actively with higher-level systems for big data analytics. In parallel, the complexity of designing and operating a system architecture for data collection and analysis

This paper presents a practical deep-learning-based crack detection model for inspecting concrete pavement, asphalt pavement, and bridge deck cracks. Crack detection is a typical semantic segmentation task; thus, we propose an encoder-decoder structural model with a fully convolutional neural network, namely, PCSN, by referring to SegNet. This model accepts images of arbitrary size as input data and

Nowadays, more and more streaming data are generated with the development of Internet of Things. Although, streaming data show great application values in practical scenarios, raw streams from terminal sensors are quite massive, heterogeneous and complex, and those features make it difficult for applications to deal with them. In order to simplify streaming data processing for applications, a novel

Many works have been done on the topic of Geographic Visual Display with different objectives and approaches. There are studies to compare the traditional cartography techniques (the traditional term of Geographic Visual Display (GVD) without Human-Computer Interaction (HCI)) to Modern GIS which are also known as Geo-visualization, some literature differentiates and highlight the commonalities of features

The root of contemporary biomedical engineering and research is the amalgamation of Body Sensor Network (BSN) with the Internet of Things (IoT) and cloud computing. It has resulted in a lot of research articles from reputed journals by renowned researchers. semiautomatic technique, Latent Semantic Algorithm (LSA) is a tried and tested machine learning concept to find out the latest research trend in

Industrial site interconnection is regarded as the focus of Industrie 4.0. However, there are various types of equipment and communication interfaces on the industrial site, and it is difficult to unify numerous heterogeneous protocols. Herein, based on the idea of "software-defined", a smart gateway is rationally designed for industrial interconnection scenes with hardware platformization and software

Industry 4.0 is a concept that represents the adoption by industry of techniques and processes allowed by digitisation, cloud computing, the internet of things and big data to gain competitive advantages in domestic and global markets. The research is conducted in Ireland with the resulting data examined through a global lens, yielding information relevant to the effective adoption and integration

Industry 4.0 and its main enabling information and communication technologies are completely changing both services and production worlds. This is especially true for the health domain, where the Internet of Things, Cloud and Fog Computing, and Big Data technologies are revolutionizing eHealth and its whole ecosystem, moving it towards Healthcare 4.0. By selectively analyzing the literature, we systematically

In the modern upgradation era, monitoring and control system is essential to ensure the smooth operation of the long-distance pipeline in the fluid transportation system. Now-a-days, to design an accurate online monitoring and control system represents a critical task that requires proactive planning in fluid transportation system. In the fluid pipeline system, the huge amount of fluid loss caused

Enterprises heavily rely on the state-of-the-art information technologies user behaviors and social system to sustain business competitiveness. Service-Oriented Architecture (SoA) and Cloud allow enterprises to utilize dynamic distributed services across enterprise boundaries and even individuals. Based on the needs of society, enterprise can spin off a virtual enterprise for new businesses where the

The dawn of the 21st century has seen the advent of many technologies targeting commercial and financial sectors. These include Big Data, Internet of Things and FinTechs such as blockchain. Blockchain is a type of a distributed database that is used to replicate, share, and synchronise data spread across different geographical locations such as multiple sites, countries, or organisations. The main

Emphasis on knowledge and information is one of the challenges of the 21st century to differentiate the intelligent business enterprises. Enterprises have to develop their organization in order to capture, manage, and use information in a context of continually changing technology. Indeed knowledge and information are completely distributed in the information network of the company. In addition, knowledge

With the increasing demand for reliable production facilities, the design of a health condition monitoring system with the implementation of automatic diagnosis as well as software solutions is one of the main issues for a smart factory. Among many industrial applications, accelerometer is one of the most frequently used sensors for facility vibration monitoring. Thus, the health condition of the sensor

Air pollution is the foremost concern especially in modern cities, because of its noteworthy influences on the community health, and the global economy. The significance of the air quality statistics makes the highly accurate real-time monitoring systems vital. The partial data access, high cost and the non-scalability of conventional air monitoring system enforce the researchers to develop future

The unmanned aerial vehicles or drones come in a great diversity depending upon the basic frameworks with their particular specifications. The purpose of this study is to analyse the core characteristics of the swarming drones and measure the public awareness levels with respect to these swarms. To achieve these goals, the functionality, problems, and importance of drones are highlighted. The results

The Fourth Industrial Revolution-commonly referred to as Industry 4.0-with smart manufacturing currently on its forefront-has arrived. The manufacturing industry is evolving and manufacturers of all sizes, worldwide, need to evolve too. In order not to be left behind from early adopters, Small and Medium-sized Enterprises (SMEs) integrate modern Smart Manufacturing-related Information and Digital Technologies

Disruptive innovations are usually identified as ideas that are created ‘outside the box’. They are expected to fundamentally change existing business models and processes founded on technological applications. Disruptive innovations can be challenging to define. Information technology (IT) solutions focus on collecting, processing, and reporting different types of data. Commonly, is the solutions

Complex data transformation, aggregation and visualization problems are becoming increasingly common. These are needed in order to support improved business intelligence and end-user access to data. However, most such applications present very challenging software engineering problems including noisy data, diverse data formats and APIs, challenging data modeling and increasing demand for sophisticated

The ever-increasing challenges in the business markets have intensified the need for cooperation among all parts of a supply chain. Allocating orders to suppliers in order to satisfy different and conflicting criteria has caused the emergence of new mulita-criteria approaches to address these problems more effectively. This paper investigated an order distribution problem in a real case of Iranian's

Visualisation research explores techniques for conveying information in a meaningful way to allow users to make sense of data. This paper aims to review state-of-the-art information visualisation methods and techniques particularly for farmed data in defence simulations. It also discusses some of the key visualisation design challenges and outlines a conceptual framework for future research directions

Enterprise Interoperability is a requirement for ensuring an effective collaboration within a network of enterprises. Therefore, interoperability should be continuously assessed and improved for avoiding collaboration issues. To do so, an interoperability assessment can be performed by the concerned enterprises. Such an assessment provides an overview of the enterprise systems’ strengths and weaknesses

For privacy-preserving analysing of big data, a deep learning method is proposed. The method transforms the sensitive part of the personal information into non-sensitive data. To implement this process, two-stage architecture is proposed. The modified sparse denoising autoencoder and CNN models have been used in the architecture. Modified sparse denoising autoencoder performs transformation of data

Researches in Blockchain Technology (BCT) and Internet of Things (IoT) are experiencing exponential growth in recent years. They are being witnessed as mainstream technologies that have the potential of revolutionizing our society. However, these two contain technologically unrelated in philosophies. This article has a special interest in exploring how BCT and IoT can benefit in innovating business

The article considers the results of research received by the authors in the process of developing and implementing the components of an intelligent monitoring system. The system is designed to collect and process big data on road incidents from photo-radar complexes. Monitoring system is the main part of the Smart Road Environment. The authors propose a convergent model for processing big sensor data

This paper presents and evaluates design improvements to the Visual Data Acquisition (ViDAQ) system for reading multi-dial gauges. ViDAQ in general, is targeted to occupy a niche application for a cost effective and readily deployable solution for non-intrusive and remote acquisition of data from legacy human machine interface (HMI) indicators. Legacy HMI indicators that pose numerous technological

Genomics next generation sequencing (NGS) and third generation sequencing (TGS) have a broad area of applications in life science, such as Non-Invasive Prenatal Testing (NIPT), ctDNA Testing for Non-Invasive Tumor Personalized Therapy, Whole Genome Sequencing (WGS), Whole Exome Sequencing (WES), RNA Sequencing, etc. The high throughput genome sequencing instrument is capable of sequencing thousands

This paper proposes the development of a system incorporating inertial measurement unit (IMU), a consumer-grade digital camera and a fire detection algorithm simultaneously with a nano Unmanned Aerial Vehicle (UAV) for inspection purposes. The video streams are collected through the monocular camera and navigation relied on the state-of-the-art indoor/outdoor Simultaneous Localisation and Mapping (SLAM)

Traditional methods of scheduling are mostly based on the use of pieces of information directly related to the performance of schedules, as for instance processing times, delivery dates, etc., assuming that the production system is operating normally. In the case of malfunctions, the literature concentrates on the ensuing corrective operations, like scheduling with machine breakdowns or under remanufacturing

New industrial initiatives such as Industrie 4.0 rely on digital end-to-end engineering across the entire product lifecycle, which in turn depends on the ability of the supporting software tools to interoperate. A tool interoperability approach based on Linked Data, and the OASIS OSLC standard, has the potential to provide such integration, where each software tool can expose its information and services

The blockchain revolutionizes the creation of both scalable information technology systems and diversified applications by integrating the increasingly popular artificial intelligence, cloud computing, and big data. Various industries have recently begun to implement the exploration of blockchain. It will not take long for the blockchain to spread all over the world. In order to identify and further

Driving is a high-demanding task, related to human capacity, required performance and events occurring in the external environment. Mental workload depends on numerous factors: task difficulty, task complexity, level of traffic, additional activities required by the driving action or imposed by the driver, the contextual conditions, as well as the individual response to stress. The study of driver's

As failure and reliability predictions play a significant role in production systems they have caught the attention of researchers. In this study, Support Vector Regression (SVR), which is known as a powerful neural network method, is developed as a way of forecasting reliability. Generally, SVR is applied in many research environments, and the results illustrate that SVR is a successful method in

Digital factories comprise a multi-layered integration of various activities along the factories and product lifecycles. A central aspect of a digital factory is that of enabling the product lifecycle stakeholders to collaborate through the use of software solutions. The digital factory thus expands outside the company boundaries and offers the opportunity to collaborate on business processes affecting

This special issue tackles specific challenges of requirements engineering (RE) in agile and interconnected settings. Compared to traditional upfront RE, the practices in agile or open-source software projects tend to be just-in-time, characterized by lightweight representation and continuous refinement of requirements. The special issue features six articles, ranging from conceptual views through

The paper deals with the interoperability issue inside Industry 4.0. This last features the application in industrial contexts of modern Information & Communication Technology (ICT) concepts, such as Internet of Things (IoT). Current literature presents several proposals aimed to improve interoperability between reference communication standards of Industry 4.0 and IoT ecosystems. Among them, several

In Web Service research, providing methods and tools to cater for automatic composition of services on the Web is still the object of ongoing research activity. Despite the proposed approaches, this issue remains open. Our current contribution deals with this topic and presents a Dynamic Web Service Composition Framework (DWSC). The DWSC behavior is based mainly on two components: service dynamic designer

Industry 4.0 architecture has been studied in a large number of publications in the fields of Industrial Internet of Things, Cyber Physical Production Systems, Enterprise Architectures, Enterprise Integration and Cloud Manufacturing. A large number of architectures have been proposed, but none of them has been adopted by a large number of research groups. Two major Industry 4.0 reference architectures

The ability to exploit data-driven process control and decision making frameworks is rapidly becoming critical to success in semiconductor manufacturing. At the same time, advances in manufacturing equipment sensors has seen dramatic increases in sampling rates in recent years, which has led to the ability to capture transients effects in signals with higher fidelity than previously possible. It is

A company's performance depends on its ability to maintain effective and efficient relationships with suppliers and customers, by quickly sharing and disseminating information. Therefore, the Extended Enterprise needs to be dynamically formed to be agile and adaptable. The current research intends to present a solution for the dynamic composition of the extended enterprise, formed to take advantage

The research presented is aimed to develop and investigate an effective method for management of consistency of large-scale product data. Such data are usually driven by formal models in EXPRESS language being part of the STEP standard (ISO 10303). To be consistent and unambiguously interpretable by computer programs the data must satisfy syntactic and semantic rules defined by the standards. Although

There are several security requirements identification methods proposed by researchers in up-front requirements engineering (RE). However, in open source software (OSS) projects, developers use lightweight representation and refine requirements frequently by writing comments. They also tend to discuss security aspect in comments by providing code snippets, attachments, and external resource links.

Industrial Information Integration Engineering interacts with each of the twelve engineering disciplines defined by the U.S. National Academy of Engineering. Civil Engineering is one of the twelve engineering sections. Integration of information can be a very valuable method for civil engineering. In the management of the highway bridges, bridge design and operation parameters and inspection results

Today's development environments in the manufacturing industry require different development tools to work together. These complex environments are highly heterogeneous and constantly changing, and the development tools are producing a huge amount of data. As a result, these development environments must overcome a significant problem related to data integration. In this paper, we examine a case study

Computational neuroscience and neuronal communication have been amongst the most sought after fields in the recent times. The integration of computational neuroscience and neuronal communication with evolution of information and communication technology leveraged the potential applications in many domains such as health care, nanomachine, pattern recognition, biological behaviour replication, designing

In recent times, Magnetic Levitation (Maglev) technology has gained huge popularity in different fields of research. Transportation, nuclear, aerospace, biomedical, civil and electrical engineering are some of the areas where the presence of Maglev technology is prominent. But because of the inherent nonlinear and unstable behaviour, the task of designing a suitable controller becomes very challenging

Integration of process control with optimization is critical to Smart Manufacturing (SM). Oftentimes, however, the process control solutions from one vendor do not interoperate with the optimization solutions of another. Incompatibilities among the representation and format used by the vendors can impede interoperability. Without this interoperability, it is impossible to achieve the higher level of

Electromyography is a science that studies or detects bioelectrical activity of muscles to analyze skills and morphological changes of the neuromuscular system and contributes to studies on the neuromuscular system. Surface electromyography (SEMG) signal is a bioelectrical signal emitted when nervous and muscular activities are recorded from the surface of human skeletons by means of poles, which can