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Journal of Industrial Information Integration
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Abstract 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 in sensor manufacturing and communication. In this paper, a Cluster-Tree based Ener...
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Abstract 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 and architectures of different Geographic Visual Display tools (from layers and cl...
1 CitationsSource
#1Yifan YinH-Index: 1
#2Boyi XuH-Index: 8
Last. Han YuH-Index: 1
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Abstract 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 temporal and spatial panorama stream processing engine is proposed. This stream processin...
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Abstract 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 can be trained pixel by pixel. Moreover, VGG16 net is adopted without the top layer as t...
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#1Ingrid Carla Reinhardt (UCC: University College Cork)H-Index: 1
#2Jorge C. O (UCC: University College Cork)
Last. Denis Ring (UCC: University College Cork)H-Index: 2
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Abstract 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 of 4.0 concepts. Key outcomes are the perspectives of the pharmaceutical and biopharmaceut...
9 CitationsSource
#1Vidhyotma Gandhi (University Institute of Engineering and Technology, Panjab University)
#2Jaiteg Singh (University Institute of Engineering and Technology, Panjab University)H-Index: 1
Abstract 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. Semi-automatic technique, Latent Semantic Algorithm (LSA) is a tried and tested machine learning concept to find out the latest research trend in the specific area. Here, we apply the same to a dataset of 927 research titles and abst...
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#1Emanuel Trunzer (TUM: Technische Universität München)H-Index: 2
#2Anne Wullenweber (TUM: Technische Universität München)
Last. Birgit Vogel-Heuser (TUM: Technische Universität München)H-Index: 26
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Abstract 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 increases dramatically as more experts from different domains get involved. Graphic...
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Abstract 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 is by nature, heterogeneous since it is provided from different information source...
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#1Srinath Perera (USYD: University of Sydney)H-Index: 13
Last. Ralf WeinandH-Index: 1
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Abstract 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 property of blockchain is that there is no central administrator or centralised data stora...
7 CitationsSource
Abstract 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 demanded manufacturing resources are obtained through service selection and workflow co...
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