TL;DR: An advanced Industrial IoT (IIoT) solution, the NGS-PlantOne system, specially designed to enable a pervasive monitoring of industrial machinery through battery-powered IoT sensing devices, thus allowing the development of advanced predictive maintenance applications in the considered scenario.

TL;DR: The use of Zachman Framework to guide the architecture development is described in step-by-step details in this paper, and the agent-based simulation is recommended to develop the SoS architectural models following the Zachman framework guidance.

TL;DR: Cyber-physical systems (CPS) are developed through the cooperation of several engineering disciplines, but it remains challenging to overcome the challenges faced by each individual discipline.

TL;DR: The problems of detecting attacks in wireless sensor networks (WSN) of SCADA systems are investigated and three algorithms of hybrid key management using routing information frames determined by routing methods and the WSN topology are presented.

TL;DR: This paper presents a novel dynamic facility layout problem (DFLP) arranging and rearranging of manufacturing facilities such that material handling and the relevant costs to be minimized mathematically.

TL;DR: This paper investigates the nature of characteristics polynomials of Equal Length Cellular Automata (ELCA) and its application in OTP generation for authentication in cloud computing and identifies primitive characteristicsPolynomial as a crucial criterion for pseudo-randomness of ELCA cycles generated with linear rules.

TL;DR: This paper presents a framework for different methods to be combined for community detection, and experimental results show the framework can potentially generate a better result by different methods collectively than any single method.

TL;DR: This article contributes to the development of the core ontologies from the Reference View, to aid the semantic interoperability in the Product Design stage, further improving the exchange of information during different phases of the IPDP.

TL;DR: This paper provides reviews and analysis of the state-of-the-art service workflow specification languages, including (1) Self-Adaptive Configuration based on HMS, (2) BAM, (3) CTR, (4) SOLOIST, and (5) SWSpec, which are evaluated against the fundamental principles for general service workflow specifications languages.

TL;DR: A hybridized algorithmic approach to solve 4- dimensional Travelling Salesman Problem (4DTSP) where different paths with various number of conveyances are available to travel between two cities is proposed.

TL;DR: In this article, the authors investigate the impact of the Internet of lighting on the European office lighting value chain and propose a layered value network model to synthesize new stakeholder networks.

TL;DR: Wilks’ lambda statistic, is used for analysis of the performance of the proposed multivariate profile model in phase-I of statistical control and is capable of facilitating information technology (IT) activities of the studied manufacturing industry.

TL;DR: It is shown that 8% improvement in overall power delivery is achieved for series vs. single cell connections within a fixed module area, which will translate into increased wireless sensor functionality and range, thereby furthering the development of the Industrial Internet of Things in buildings and homes.

TL;DR: The first ever model of operational collaboration for the European maritime industry is presented, built upon the established current state-of-the art in engineering collaboration modelling and addressing key industry requirements.

TL;DR: This work investigates the use of the papiNet standard, originally designed for the forestry supply chain, as a possible data exchange format for a multi-fuel supply chain where forestry products are the dominant type of fuel.

TL;DR: In this paper, the authors proposed a hybrid vibration system that integrates active-passive isolation and multi-objective optimization for decision arrangement scheme in reducing the vibration, which has practical application significance in industry.

TL;DR: The HEG challenges are addressed in an effective way through the design of suitable communication frameworks and a security mechanism for enabling strong protection against cyber attacks and the proposed system effectively copes with the interoperability and integration issues between plethora of heterogeneous devices at the consumer sites.

TL;DR: A Hypergraph (HG)-based feature extraction technique is developed in order to derive both topological and geometrical features through hyperedges that describe n-ary relations among the data containing feature vectors to classify the frequency responses of the sensors.

TL;DR: A new design method of a mixed time-Triggered and event-triggered industrial controller for industrial real-time control in IoT environment is proposed, which adopts mixed time triggered and event triggered modes to manage multi-tasks, and utilizes RTX embedded operating system as the main scheduler.

TL;DR: This work presents a novel spectral clustering algorithm that groups a collection of objects using the spectrum of the pairwise distance matrix and adapts this algorithm to the network community detection problem using a decentralized multi-agent framework.

TL;DR: This paper presents design and implementation of an intelligent network monitoring and reporting back system for large size organizations/industries based on programming open-source tools and intelligently integrating them to monitor network devices such as switches and routers.

TL;DR: The assessment method was based on the Analytic Hierarchy Process technique, and applied to a company involved in the DM domain, responsible for the information technology infrastructure of a city in the south of Brazil, showing the main gaps of the entity under the interoperability perspective.

TL;DR: The Design Science Research (DSR) methodology is used in this paper, encompassing international standards, the unified 5-level architecture, ontology, and dependability for failure analysis in mechanical components, and an ontology using the OWL 2 language was created.

TL;DR: In this paper, a new Social Life Cycle Assessment (S-LCA) methodology is proposed to support enterprise modelling and knowledge management to assess company sustainability by solving current issues and uncertainties regarding the evaluation of social impacts in the context of smart manufacturing.

TL;DR: This paper reviews the development of D MTs in the big data era, and makes discussion on the applications of DMTs in production management, by selecting and analyzing the relevant papers since 2010.