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Статті в журналах з теми "Smart processes"

Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 14 лютого 2022

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1

Haidar, Adonis, Jason Underwood, and Paul Coates. "Smart processes for smart buildings: ‘sustainable processes’, ‘recyclable processes’ and ‘building seeds’ in parametric design." Architectural Engineering and Design Management 15, no. 5 (February 5, 2019): 402–29. http://dx.doi.org/10.1080/17452007.2018.1564645.

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2

Berger, Thierry, and Damien Trentesaux. "Intelligent, smart products, and processes." Concurrent Engineering 25, no. 1 (March 2017): 3–4. http://dx.doi.org/10.1177/1063293x17701188.

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3

Konyha, József, and Tamás Bányai. "Sensor Networks for Smart Manufacturing Processes." Solid State Phenomena 261 (August 2017): 456–62. http://dx.doi.org/10.4028/www.scientific.net/ssp.261.456.

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Each factory and manufacturing plant needs a flexible and reliable in-plant resource supply to serve production processes efficiently. Manufacturing systems are composed of several numbers of elements, workstations, machines and logistics resources. Production line is a complex system because of the complicated manufacturing process, multiple types, high machining difficulty and many special processes in it. In the Industry 4.0 based on smart manufacturing, it is essential to support the processes with intelligent sensor networks. In this article, we give a brief overview about sensors often used in manufacturing processes. Sensor networks generate a massive and increasing amount of data that needs to be processed. Computationally intensive algorithms are used for the data processing (image, voice and signal processing, different classification functions, numeric optimization routines). Finally, we discuss how GPGPU can improve the real-time processing of data generated by intelligent sensor networks.

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4

Alizadeh, Tooran, and Jathan Sadowski. "Smart urbanism: Processes, practices, and parameters." Telematics and Informatics 55 (December 2020): 101493. http://dx.doi.org/10.1016/j.tele.2020.101493.

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5

Bott, Thomas, Wolfgang Gerlinger, and Johannes Barth. "Tailor Made Products by Smart Processes." Macromolecular Reaction Engineering 9, no. 5 (March 17, 2015): 396–400. http://dx.doi.org/10.1002/mren.201400069.

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6

Schioenning Larsen, Maria Stoettrup, and Astrid Heidemann Lassen. "Design parameters for smart manufacturing innovation processes." Procedia CIRP 93 (2020): 365–70. http://dx.doi.org/10.1016/j.procir.2020.04.068.

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7

Chelyshkov, Pavel, and Nataliya Mokrova. "Decomposition of management processes in “Smart city”." IOP Conference Series: Materials Science and Engineering 869 (July 10, 2020): 022012. http://dx.doi.org/10.1088/1757-899x/869/2/022012.

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8

., Aayush Srivastava. "SMART TASK MANAGER FOR USER DEFINED PROCESSES." International Journal of Research in Engineering and Technology 05, no. 07 (July 25, 2016): 267–71. http://dx.doi.org/10.15623/ijret.2016.0507041.

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9

Shang, Zong Min. "An Exception Handling Approach for Service-Based Business Processes." Advanced Materials Research 605-607 (December 2012): 1700–1704. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.1700.

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This paper proposes an exception handling mechanism for running reliable service-based business processes. With Smart Process-based Application Model that we have proposed, a smart process is generated automatically according to the execution of composite web services to better meet user’s individual requirements. However, the loosely-coupled nature of the smart process introduces more exceptions during its running. This paper will mainly focus on the failures of a smart process, and give an approach to handle exceptions. Based on Execution Transition Diagram(ETD) and several execution states we define in this paper, exceptions can be handled automatically by selecting rational transitions in the ETD during the execution of a smart process.

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10

Antzoulatos, Gerasimos, Christos Mourtzios, Panagiota Stournara, Ioannis-Omiros Kouloglou, Nikolaos Papadimitriou, Dimitrios Spyrou, Alexandros Mentes, et al. "Making urban water smart: the SMART-WATER solution." Water Science and Technology 82, no. 12 (August 18, 2020): 2691–710. http://dx.doi.org/10.2166/wst.2020.391.

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Abstract The rise of Internet of Things (IoT), coupled with the advances in Artificial Intelligence technologies and cloud-based applications, have caused fundamental changes in the way societies behave. Enhanced connectivity and interactions between physical and cyber worlds create ‘smart’ solutions and applications to serve society's needs. Water is a vital resource and its management is a critical issue. ICT achievements gradually deployed within the water industry provide an alternative, smart and novel way to improve water management efficiently. Contributing to this direction, we propose a unified framework for urban water management, exploiting state-of-the-art IoT solutions for remote telemetry and control of water consumption in combination with machine learning-based processes. The SMART-WATER platform aims to foster water utility companies by enhancing water management and decision-making processes, providing innovative solutions to consumers for smart water utilisation.

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11

Petroccia, Sara, Andrea Pitasi, Gianugo M. Cossi, and Vasja Roblek. "Smart Cities." Comparative Sociology 19, no. 2 (June 5, 2020): 259–78. http://dx.doi.org/10.1163/15691330-bja10012.

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Abstract This paper is based on the paradigm that a smart city is a part of the intellectual framework of second-order cybernetics and considers social communication in terms of the management and use of different data channels. Planning as a political practice is replaced by environmentally-behavioral control, in which subjectivity is articulated above-individually (permeating the city with sensitive nodes) and infra-individually (transforming citizens into sensitive nodes). This leads us to the research question: how to focus on the social relations and processes of the smart urbanization which are based on the second order cybernetic approach? The smart city is understood as a complex mechanism, where one begins to realize the often-unintended human, environmental, social and economic consequences of a technological and engineering-led approach. The latest thinking and smart urban projects are aimed at comprehending smart and/or sustainable infrastructure as a network between places and people in order to create a more sustainable, healthy and resilient future for different groups of citizens (from young people to seniors). Municipality strategies need to address global socio-economic factors, processes of innovation with new technology, constant adaptation in public and private sector organisations and the diversity of qualified resources.

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12

Skvortsova, Inga, Roman Latyshev, and Yuri Truntsevsky. "Innovation through improvement in the energy efficiency of business processes." E3S Web of Conferences 110 (2019): 02167. http://dx.doi.org/10.1051/e3sconf/201911002167.

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The energy industry is regarded as a leader in introducing innovations among other industries. Solutions are proposed to reduce energy consumption. The features of energy supply to consumers in difficult conditions of economic, technical and climatic nature are identified, provided that large systems with a high level of complexity of system interconnection are integrated. The main focus is on the use of technology “smart home”. The use of Smart Grid and Smart Home technologies significantly improves the efficiency of business processes, which in turn allows you to more accurately plan energy consumption. Studies have shown that the use of innovative technologies can save up to a third of the energy consumed, but the population has no significant motivation to plan and save energy. However, there is a positive trend in the use of Smart Grid and Smart Home technologies in optimizing the management of business processes by business structures, for example, , in optimizing security tools, managing household engineering systems, etc.

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13

Meißner, Dipl Wirt Ing Jens, M. Sc Frederik Schmatz, Dipl Ing Florian Beuß, Dipl Wirt Ing Jan Sender, Prof Dr Ing Wilko Flügge, and Dipl Kfm (FH) Eugen Gorr. "Smart Human-Robot-Collaboration in Mechanical Joining Processes." Procedia Manufacturing 24 (2018): 264–70. http://dx.doi.org/10.1016/j.promfg.2018.06.029.

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14

Hehr, Adam, Mark Norfolk, Dan Kominsky, Andrew Boulanger, Matthew Davis, and Paul Boulware. "Smart Build-Plate for Metal Additive Manufacturing Processes." Sensors 20, no. 2 (January 8, 2020): 360. http://dx.doi.org/10.3390/s20020360.

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This paper discusses the development, processing steps, and evaluation of a smart build-plate or baseplate tool for metal additive manufacturing technologies. This tool uses an embedded high-definition fiber optic sensing fiber to measure strain states from temperature and residual stress within the build-plate for monitoring purposes. Monitoring entails quality tracking for consistency along with identifying defect formation and growth, i.e., delamination or crack events near the build-plate surface. An aluminum alloy 6061 build-plate was manufactured using ultrasonic additive manufacturing due to the process’ low formation temperature and capability of embedding fiber optic sensing fiber without damage. Laser-powder bed fusion (L-PBF) was then used to print problematic geometries onto the build-plate using AlSi10Mg for evaluation purposes. The tool identified heat generation, delamination onset, and delamination growth of the printed L-PBF parts.

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15

Wi, Dae, Hyo Kwon, Jung Park, Soon Kang, and Jae Lee. "Opportunistic and Location-Based Collaboration Architecture among Mobile Assets and Fixed Manufacturing Processes." Sensors 18, no. 8 (August 17, 2018): 2703. http://dx.doi.org/10.3390/s18082703.

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Research into integrating the concept of the internet of things (IoT) into smart factories has accelerated, leading to the emergence of various smart factory solutions. Most ideas, however, focus on the automation and integration of processes in factory, rather than organic cooperation among mobile assets (e.g., the workers and manufactured products) and fixed manufacturing equipment (e.g., press molds, computer numerical controls, painting). Additionally, it is difficult to apply smart factory and IoT designs to analog factories, because such a factory would require the integration of mobile assets and smart manufacturing processes. Thus, existing analog factories remain intact and smart factories are newly constructed. To overcome this disparity and to make analog factories compatible with smart technologies and IoT, we propose the opportunistic and location-based collaboration architecture (OLCA) platform, which allows for smart devices to be attached to workers, products, and facilities to enable the collaboration of location and event information in devices. Using this system, we can monitor workers’ positions and production processes in real-time to help prevent dangerous situations and better understand product movement. We evaluate the proposed OLCA platform’s performance while using a simple smart factory scenario, thus confirming its suitability.

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16

De Filippi, Francesca, Cristina Coscia, and Roberta Guido. "From Smart-Cities to Smart-Communities." International Journal of E-Planning Research 8, no. 2 (April 2019): 24–44. http://dx.doi.org/10.4018/ijepr.2019040102.

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Nowadays, through ICT supports and their applications, the concept of smart cities has evolved into smart communities, where the collaborative relationship between citizens and public administration generates multi-dimensional impacts: urban sites are living labs and agents of innovation and inclusion. As a first step, this article aims to critically review the state of the art of the assessment methods of these impacts through a set of synthetic indicators; the second step is to elaborate a specific framework to evaluate quality of life through a set of impact indicators for smart communities and inclusive urban processes. According to some referenced authors, cities and communities are smart if they perform well in six smart categories: smart economy; smart people; smart governance; smart mobility; smart environment; and smart living. Considering a recent experiment carried out in Turin (Italy), the authors propose a methodology, whose trial is ongoing, based on a hierarchical multiscale framework defining a set of smart community indicators.

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17

Zuhair Al-abedallat, Abedalfattah, Ali Bakhit Jaafreh, and Duraid Kamel Alshbib. "The Automation Of Robotic Processes In Jordanian Banks: Obstacles And Applications." European Scientific Journal, ESJ 17, no. 21 (June 30, 2021): 350. http://dx.doi.org/10.19044/esj.2021.v17n21p350.

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Abstract This paper focuses on identifying the impact of technical and financial obstacles to the applications and expansion of the smart branches of banks in Jordan. This, however, depends on the Automation of Robotic Processes to identify the reality of applying smart branches in the world, including Jordan. The study employed a sample of 100 employees selected in an equal random manner from 25 Jordanian banks. With its spreading strands, multiple linear regression was used to test the hypotheses of the study. The study concluded that the expansion of banks of smart branches (robots) contributes to reducing operational cost and increasing the bank's profits by reducing the cost of banking service, enhancing its quality, increasing the market share of banks, and reducing the technical and financial obstacles that have a significant impact on the expansion of the smart branches of banks. The study recommended the importance of the development of smart branches of banks in Jordan due to its benefits in reducing the costs of the provided banking service. This contributes to increasing its profits. Also, banks should hold specialized training courses for bank workers on how to use the new technology. Banks should also allocate funds needed to create the essential infrastructure for the smart branch Applications of Artificial Intelligence, as this has an impact in achieving competitive advantage.

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18

Gazieva, Sulkhiya. "DIGITALIZATION OF LABOR MIGRATION PROCESSES IN UZBEKISTAN. WORLD EXPERIENCE." INNOVATIONS IN ECONOMY 4, no. 3 (April 30, 2020): 29–39. http://dx.doi.org/10.26739/2181-9491-2020-4-3.

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The future of labor market depends upon several factors, long-term innovation and the demographic developments. However, one of the main drivers of technological change in the future is digitalization and central to this development is the production and use of digital logic circuits and its derived technologies, including the computer,the smart phone and the Internet. Especially, smart automation will perhaps not cause e.g.regarding industries, occupations, skills, tasks and duties

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19

Bartnicka, Joanna, and Jorge Lara. "Smart solutions for improving working processes. A research experiences from dental clinic." Multidisciplinary Aspects of Production Engineering 2, no. 1 (September 1, 2019): 600–611. http://dx.doi.org/10.2478/mape-2019-0059.

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Abstract Smart solutions become an indispensable attribute of today life giving the opportunity to act in a significantly efficient way in both public and especially private sector. For this reason the “smart approach” to business is a crucial component in a process of building the advantage in a competitive services market. Taking this challenging aspect of companies’ activities, the authors present a concept of implementing a smart solutions for improving working conditions in a private dental clinic. Particularly, the smart solutions are based on integration of knowledge management constructs and information and communication technologies (ICT) that enable users to use knowledge contextually and in intuitive way. As a final part of the paper, three different practical ideas were discussed and evaluated.

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20

Nihalani, Seema, Unnati Joshi, and Ashish Meeruty. "Smart Materials for Sustainable and Smart Infrastructure." Materials Science Forum 969 (August 2019): 278–83. http://dx.doi.org/10.4028/www.scientific.net/msf.969.278.

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Smart materials technologies are most significant in 21st-century. "Smart Materials" shall have a crucial role in construction technology. These innovative materials constitute an important part of smart building systems that shall be capable to detect its surrounding, so that the smart materials behave similar to living systems. The design of smart materials involves highly integrated components and requires interdisciplinary knowledge. Smart materials, are capable of adapting to their exterior surrounding. They alter their properties by applying exterior physical stimuli and thus adapt to their external environment in best possible manner. In the process of adapting to their external environment they involve various energy conversion processes. Thus mechanical energy is converted into electrical energy and vice versa by smart materials during their functioning. Smart materials are therefore predetermined and predesigned to perform as sensors and actuators as the need be. This paper discusses various types of smart materials available, their characteristics and applications in smart infrastructure.

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21

Huang, Arthur. "The First International Conference on Smart Tourism, Smart Cities, and Enabling Technologies (the Smart Conference)." Anatolia 30, no. 3 (June 27, 2019): 431–33. http://dx.doi.org/10.1080/13032917.2019.1633501.

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22

Tkach, Oleg, and Anatoly Tkach. "Smart power as a constituent of modern political processes." American History & Politics: Scientific edition, no. 2 (2016): 252–59. http://dx.doi.org/10.17721/2521-1706.2016.02.252-259.

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23

Butsch, Carsten, Shamita Kumar, Paul Wagner, Mareike Kroll, Lakshmi Kantakumar, Erach Bharucha, Karl Schneider, and Frauke Kraas. "Growing ‘Smart’? Urbanization Processes in the Pune Urban Agglomeration." Sustainability 9, no. 12 (December 14, 2017): 2335. http://dx.doi.org/10.3390/su9122335.

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24

Park, Daekwon, and Martin Bechthold. "Designing Biologically-Inspired Smart Building Systems: Processes and Guidelines." International Journal of Architectural Computing 11, no. 4 (December 2013): 437–63. http://dx.doi.org/10.1260/1478-0771.11.4.437.

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25

Bucovetchi, Olga, Andreia Elena Simioana, and Radu D. Stanciu. "A new approach in Supply Chain Processes – Smart Logistics." MATEC Web of Conferences 121 (2017): 07004. http://dx.doi.org/10.1051/matecconf/201712107004.

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26

Alkandari, Ahmad, Ayman Ahmed Sami, and Ahmed Sami. "Proposed DSO ancillary service processes considering smart grid requirements." CIRED - Open Access Proceedings Journal 2017, no. 1 (October 1, 2017): 2846–47. http://dx.doi.org/10.1049/oap-cired.2017.0054.

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27

D’Argenio, Pedro, Axel Legay, Sean Sedwards, and Louis-Marie Traonouez. "Smart sampling for lightweight verification of Markov decision processes." International Journal on Software Tools for Technology Transfer 17, no. 4 (June 6, 2015): 469–84. http://dx.doi.org/10.1007/s10009-015-0383-0.

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28

Malburg, Lukas, Manfred-Peter Rieder, Ronny Seiger, Patrick Klein, and Ralph Bergmann. "Object Detection for Smart Factory Processes by Machine Learning." Procedia Computer Science 184 (2021): 581–88. http://dx.doi.org/10.1016/j.procs.2021.04.009.

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29

Pavlov, Mykola. "THE SMART-CITY: CONCEPT ESSENCE AND ADMINISTRATIVE PROCESSES EVOLUTION." PUBLIC ADMINISTRATION AND LAW REVIEW, no. 2 (May 15, 2021): 13–21. http://dx.doi.org/10.36690/2674-5216-2021-2-13.

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30

Coelho, Vitor N., Thays A. Oliveira, Wellington Tavares, and Igor M. Coelho. "Smart Accounts for Decentralized Governance on Smart Cities." Smart Cities 4, no. 2 (May 30, 2021): 881–93. http://dx.doi.org/10.3390/smartcities4020045.

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Анотація:

This paper introduces state-of-the-art possibilities for using smart contracts capabilities for governance. Assisted by blockchain, the use of these tools can provide a transition that society currently needs due the huge amount of information that reaches citizens. The core mechanism of this study lies within the scope of smart accounts and digital identities. These topics enclose smart cities trends that seek to increase citizens’ participation in the social decision making process, in a transparent way that is usually managed throughout decentralized systems. We define a set of available features that can automatically guide the flow of resources, after the conclusions of voting processes also conducted on trusted environments of distributed ledgers. By presenting innovative ideas and didactically describing the possibilities, we aim to promote awareness of blockchain capabilities among readers, students, decisions makers and, mainly, the younger generation.

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31

Brenneis, Matthias, and Peter Groche. "Smart Components through Rotary Swaging." Key Engineering Materials 504-506 (February 2012): 723–28. http://dx.doi.org/10.4028/www.scientific.net/kem.504-506.723.

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The parts of smart components consisting of structural and smart materials are conventionally produced separately and assembled in additional processes afterwards. An alternative approach to combine the forming of metallic parts and the assembly of components in one process step is proposed in this paper. Numerical and experimental investigations are carried out to investigate the influence of the axial clamping of the tube during the integration of a ring part through rotary swaging. The experiments also demonstrate the producibility of smart components by incremental forming processes without damaging the sensitive functional parts, which is proven by a functioning test.

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32

Jäckel, M., T. Falk, T. Grimm, and D. Prof Landgrebe. "Smart Joining/Smart Joining - Concept for Mechanical Joining 4.0." wt Werkstattstechnik online 106, no. 10 (2016): 705–11. http://dx.doi.org/10.37544/1436-4980-2016-10-31.

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Der Fachbeitrag beschreibt Zusammenhänge zwischen verschiedenen – in einer Automobilproduktion relevanten – Randbedingungen und dem Fügeergebnis beim Halbhohlstanznieten in Form von mathematischen Modellen. Diese Modelle sowie neue Ansätze bei der Fügewerkzeuggestaltung bilden die Grundlage für die dargelegten Konzepte zur Weiterentwicklung der mechanischen Fügetechnik hin zu cyber-physischen Systemen, die mit anderen Prozessen in der Automobilproduktion vernetzt sind.   This article describes in mathematical models how various boundary conditions in an automotive production system and the joining result for self-pierce riveting are related. These models and new approaches in the joining tool design are the basis for the described concepts for developing mechanical joining techniques to enable cyber-physical systems linked to other processes in automobile production.

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33

Castelnovo, Walter, Gianluca Misuraca, and Alberto Savoldelli. "Smart Cities Governance." Social Science Computer Review 34, no. 6 (August 3, 2016): 724–39. http://dx.doi.org/10.1177/0894439315611103.

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Most of the definitions of a “smart city” make a direct or indirect reference to improving performance as one of the main objectives of initiatives to make cities “smarter”. Several evaluation approaches and models have been put forward in literature and practice to measure smart cities. However, they are often normative or limited to certain aspects of cities’ “smartness”, and a more comprehensive and holistic approach seems to be lacking. Thus, building on a review of the literature and practice in the field, this paper aims to discuss the importance of adopting a holistic approach to the assessment of smart city governance and policy decision making. It also proposes a performance assessment framework that overcomes the limitations of existing approaches and contributes to filling the current gap in the knowledge base in this domain. One of the innovative elements of the proposed framework is its holistic approach to policy evaluation. It is designed to address a smart city’s specificities and can benefit from the active participation of citizens in assessing the public value of policy decisions and their sustainability over time. We focus our attention on the performance measurement of codesign and coproduction by stakeholders and social innovation processes related to public value generation. More specifically, we are interested in the assessment of both the citizen centricity of smart city decision making and the processes by which public decisions are implemented, monitored, and evaluated as regards their capability to develop truly “blended” value services—that is, simultaneously socially inclusive, environmentally friendly, and economically sustainable.

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34

Krasovskaya, Inna, Elena Schislyaeva, and Felix Shamrai. "Scientific and practical foundations and business processes for the sustainable development of Smart City." E3S Web of Conferences 258 (2021): 02023. http://dx.doi.org/10.1051/e3sconf/202125802023.

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Анотація:

The article investigates scientific and practical issues of transport logistics; the conceptual and methodological mechanisms of formation of the “Smart City” strategy are considered and its main business processes are interpreted; the author’s description of the Internet of Things as a high-tech network of deterministic mechanisms, logistic algorithms, business processes and technical and technological devices, interconnected with each other and with the external socio-economic environment is presented; the international experience of the formation and functioning of transport and logistics business processes of “smart cities” was critically rethought; reducing costs, ensuring socio-economic growth and sustainability, while improving the quality of services and the life of citizens, are justified as fundamental tasks of smart city projects; studied the socio-economic objectives of the Smart City of St. Petersburg project, in particular, the formation of a list of measures to optimize business processes, the creation of an external economic environment that would facilitate the attraction of non-budgetary funding sources for the implementation of projects, the development of a methodology for monitoring indicators of socio-economic development and territorial planning of St. Petersburg; identified the main socio-economic advantages of the introduction of smart parking in relation to the infrastructures of smart cities and their residents; empirically confirmed the effectiveness of the implementation of an intelligent parking management system based on the “Internet of Things” technology in the social and economic conditions of St. Petersburg; the characteristic of transport and logistics advantages of the strategy “Smart city of St. Petersburg” is provided.

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35

Nurgaliev, R. K., and A. I. Shinkevich. "LOGICAL AND INFORMATION MODEL OF MANAGEMENT OF PROCESSES OF «SMART» PRODUCTION." Izvestiya of Samara Scientific Center of the Russian Academy of Sciences 23, no. 2 (2021): 29–36. http://dx.doi.org/10.37313/1990-5378-2021-23-2-29-36.

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The article presents a study of the specifics of «smart» production, the positive effect of which is certainly recognized by industrial enterprises. This means increasing production efficiency, ensuring the reliability, stability and safety of technological systems, and reducing the burden on the environment. In the context of the digital transformation of the industry, new opportunities are opening up to achieve this effect. In this regard, it is important to model the processes of «smart» production, the decomposition of the control system of mechanisms and tools. The purpose of the study is to build a logical and information model that reflects the specifics of managing the processes of «smart» production. The research methods used are comparative analysis (in the context of industries and territories); formalization, which clearly presents information about the management of «smart» production processes in the form of schemes and models; mathematical and statistical methods that underlie cluster analysis. As a result of the study, the following results were obtained: the general scheme of «smart» production was formalized, taking into account the processes of obtaining a petrochemical product, control actions, mechanisms and necessary resources, taking into account the guidelines for sustainable development; the typology of Russian regions, depending on the level of intellectualization of production, was identified according to the signs of the activity of organizations in terms of the use of information and communication technologies for the automation of processes and design: regions with low, medium and high activity of intellectualization of production; A logical and information model of managing the processes of «smart» production is proposed, covering the stages of integration and operation of digital technologies, production assets of industrial enterprises and personnel support, which differs in the object of modeling and systematically describes the functioning of intelligent production. The practical significance of the results is due to the possibility of competent process management in the context of the implementation of digital solutions and the sustainable development of industry.

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Vervest, Peter, Kenneth Preiss, Eric van Heck, and Louis-François Pau. "The Emergence of Smart Business Networks." Journal of Information Technology 19, no. 4 (December 2004): 228–33. http://dx.doi.org/10.1057/palgrave.jit.2000024.

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This article introduces the novel concept of smart business networks. The authors see the future as a developing web of people and organizations, bound together in a dynamic and unpredictable way, creating smart outcomes from quickly (re-) configuring links between actors. The question is: What should be done to make the outcomes of such a network ‘smart’, that is, just a little better than that of your competitor? More agile, with less pain, with more return to all the members of the network, now and over time? The technical answer is to create a ‘business operating system’ that should run business processes on different organizational platforms. Business processes would become portable: The end-to-end management of processes running across many different organizations in many different forms would become possible. This article presents an energizing discussion of smart business networks and the research challenges ahead.

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Popovic, Zeljko, Bratislava Radmilovic, and Vladan Gacic. "Smart grids concept in electrical distribution system." Thermal Science 16, suppl. 1 (2012): 205–13. http://dx.doi.org/10.2298/tsci120124072p.

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This paper defines key business processes in electrical distribution systems and key elements and priority components that should be (re)defined in these processes in order to enable the goals of smart grids concept to be fulfilled in the cost effective way. Activities undertaken in the Power Distribution Company of ?Elektrovojvodina? (Serbia), which provide the basis for fulfilling the Smart Grids goals and thus enable full implementation of smart grids concept are presented in details.

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Soliman, Ahmed, Mohammad Zaher Akkad, and Rima Alloush. "Smart bin monitoring system for smart waste management." Multidiszciplináris tudományok 10, no. 2 (2020): 402–12. http://dx.doi.org/10.35925/j.multi.2020.2.45.

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The fourth industrial revolution offers new technologies and solutions to increase efficiency, availability, flexibility, and decrease the economical footprint of manufacturing and service processes. In smart cities, a wide range of Industry 4.0 technologies can be used in the field of road traffic monitoring, health monitoring, and many operations, like the municipal waste collection. Internet of Things makes it possible to reduce the required material handling solutions of municipal waste collection, like loading and unloading, transportation, and warehousing. With smart waste management, no need for trucks to come every day and check every single dustbin if it is full or not as in the traditional situation, therefore the human power, time, cost, and spreading of toxic gas will be reduced. The amounts of the garbage will be monitored by sensors, pollution level by moisture sensor, and an odor sensor. The collected data can also be used to find the optimal path for the truck’s drivers. Within the frame of this article, the authors describe an on-line smart bin monitoring system.

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Vještica, Marko, Vladimir Dimitrieski, Milan Pisarić, Slavica Kordić, Sonja Ristić, and Ivan Luković. "Towards a Formal Specification of Production Processes Suitable for Automatic Execution." Open Computer Science 11, no. 1 (January 1, 2021): 161–79. http://dx.doi.org/10.1515/comp-2020-0200.

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Abstract Technological advances and increasing customer need for highly customized products have triggered a fourth industrial revolution. A digital revolution in the manufacturing industry is enforced by introducing smart devices and knowledge bases to form intelligent manufacturing information systems. One of the goals of the digital revolution is to allow flexibility of smart factories by automating shop floor changes based on the changes in input production processes and ordered products. In order to make this possible, a formal language to describe production processes is needed, together with a code generator for its models and an engine to execute the code on smart devices. Existing process modeling languages are not usually tailored to model production processes, especially if models are needed for automatic code generation. In this paper we propose a research on Industry 4.0 manufacturing using a Domain-Specific Modeling Language (DSML) within a Model-Driven Software Development (MDSD) approach to model production processes. The models would be used to generate instructions to smart devices and human workers, and gather a feedback from them during the process execution. A pilot comparative analysis of three modeling languages that are commonly used for process modeling is given with the goal of identifying supported modeling concepts, good practices and usage patterns.

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Rico-Bautista, Dewar, César D. Guerrero, César A. Collazos, Gina Maestre-Góngora, Julio A. Hurtado-Alegría, Yurley Medina-Cárdenas, and Jose Swaminathan. "Smart University: a vision of technology adoption." Revista Colombiana de Computación 22, no. 1 (June 1, 2021): 44–55. http://dx.doi.org/10.29375/25392115.4153.

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Smart University is an emerging concept, strongly anchored to smart technologies and considered by different authors in the literature. Organizations, including universities, need to incorporate smart technologies to take advantage of their capabilities to transform their processes and drive them toward new organizational models. A Smart University focuses on improving its technological infrastructure for achieving its quality educational goals. This paper presents the integration of the key factors for adopting four smart technologies: Cloud Computing, Big Data, Artificial Intelligence, and the Internet of Things. This characterization and integration allow us to conclude on the need to align digital technologies with the organization's processes, requiring greater interaction with the company’s senior management.

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Ghose, Rina, and Peter A. Johnson. "Introduction to the special section: Smart citizens creating smart cities: Locating citizen participation in the smart city." Canadian Geographer / Le Géographe canadien 64, no. 3 (September 2020): 340–43. http://dx.doi.org/10.1111/cag.12644.

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Calcatinge, Alexandru. "More on Smart Cultural Landscapes: technicalities of the planning processes." E3S Web of Conferences 180 (2020): 04015. http://dx.doi.org/10.1051/e3sconf/202018004015.

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This paper will build upon my previous smart cultural landscapes research, by offering a technical overview of the planning processes that the policies are based on. In this respect, I will discuss, in an analytic manner, how the argumentation process should take place from a cultural landscape study. This will take into consideration the proficiencies of a planning professional, the smart characteristics of a cultural landscape policy or study and the relevant steps that should be taken to effectively solve the local rural or urban cultural landscape specific issues. The anticipated results would be to establish a well-known place of cultural landscape studies amongst the local rural and urban development processes.

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43

Di Salvo, Santina. "Smart Materials in Architecture." International Journal of Engineering Research in Africa 23 (April 2016): 72–79. http://dx.doi.org/10.4028/www.scientific.net/jera.23.72.

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The project activity presides over the choice of materials and technical capacity within two dimensions of action: the previous knowledge and the tension about the future. That allowed us to identify the succession of the “technological and material” paradigms that have come and gone, featuring the project with the arrival of new materials and production processes. The advent of composite smart materials has challenged all the materials overturning the features.

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Calì, Michele. "Smart Manufacturing Technology." Applied Sciences 11, no. 17 (September 3, 2021): 8202. http://dx.doi.org/10.3390/app11178202.

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This Special Issue of Applied Sciences provides a collection of original papers on smart manufacturing technology with the aim of: examining emerging aspects of digitalization in the industrial and biomedical fields, as well as in business management and sustainability; proposing and developing a new approach useful for companies, factories, and organizations to achieve greater innovation and productivity—as well as sustainability—by applying smart manufacturing technologies; and exploring new ideas and encouraging research directions so as to obtain autonomous and semiautonomous processes, high-quality products, and services with a greater integration and interconnection of resources while reducing costs. The advantages of new methods and experimental results obtained in the collected contributions are discussed promoting further design, implementation, and application in the various fields.

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Baggio, Rodolfo, Roberto Micera, and Giacomo Del Chiappa. "Smart tourism destinations: a critical reflection." Journal of Hospitality and Tourism Technology 11, no. 3 (October 2, 2020): 407–23. http://dx.doi.org/10.1108/jhtt-01-2019-0011.

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Purpose The aim of this paper is to provide a critical analysis of the main literature contributions that concern smart tourism development and management, highlighting gaps and logical inconsistencies. In addition, to further stress the importance of the issues at stake, a simulation is performed for showing how technology allows achieving better outcomes when a certain level of efficiency is obtained via re-engineering of main organizational and operational processes. Design/methodology/approach A content analysis of recent relevant literature is performed with the help of machine learning topic modelling algorithms. A network analytic approach to digital ecosystems, then, is used to study the relationship between technological tools and physical entities in a destination and how these and their combination affect the efficiency of the system at local and global levels. Findings The literature analyzed lacks a good discussion on the necessity to improve and rationalize the operational and organizational processes while emphasizing mostly the technological aspects. On the other hand, the simulation case presented shows that if information and knowledge flows are reasonably efficient and well organized in the physical world, the integration of digital components further enhances these processes, whereas inefficiencies can hinder the flow of information and reduce its efficiency. Originality/value Apart from the methods used, relatively little explored, the authors show that, as also much of the computer science literature states, a fundamental prerequisite for successful “smart” projects is a logical and effective restructuring of the main operational and organizational processes.

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Sharma, Akash, V. K. Dwivedi, and Deepak Sharma. "Industry 4.0 A Smart Factory: An Overview." Advanced Science, Engineering and Medicine 12, no. 7 (July 1, 2020): 914–17. http://dx.doi.org/10.1166/asem.2020.2648.

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Industry 4.0 is an industrial transformation towards a smart factory. Industry 4.0 brings a revolution throughout the world in Industrial sector by integration of several processes together in manufacturing. A smart industry 4.0 is a bundled structure which comprises of data, people, processes, services, systems. Industry 4.0 is a next level which makes the industry a smart factory by including the IOT (internet of things), Cloud Computing, Cyber-Physical Systems, System Integration, Big Data analytics, IT (information technology) and OT (operational technology) together. In this paper, an overview of industry 4.0 a smart factory is presented that how industry 4.0 is implemented and also issues in implementing a smart industry 4.0 with the help of nine digital industrial technologies and its applications and to study the industrial transformation towards the smart industry 4.0.

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Giovannella, Carlo, and Vincenzo Baraniello. "Smart Cities Learning." International Journal of Digital Literacy and Digital Competence 3, no. 4 (October 2012): 1–15. http://dx.doi.org/10.4018/jdldc.2012100101.

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The cities, despite the huge size reached by some and the problems by which they are sometimes afflicted, continue to attract people and pose epochal sustainability challenges to which policy makers and planners have decided to respond with a top-down functionalist approach aiming at transforming the cities in “smart cities”. The purpose of this paper is to present a critical analysis of such approach highlighting its limitations as far as education systems are concerned. The hope is to contribute to arise awareness and foster a timely and necessary redefinition of the functionalist approach to appropriately face an unavoidable transformation of the education system (space, strategies, processes and methods) that in turn will require the future learners to widen their skills to become smart enough to lifelong learn within and from smart territories.

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Chmielarz, Grzegorz. "Present state and future application of smart technologies in manufacturing processes." Production Engineering Archives 24, no. 24 (September 1, 2019): 14–19. http://dx.doi.org/10.30657/pea.2019.24.04.

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Abstract The paper concentrates on the issues of applying smart technologies in the manufacturing processes. The author includes in it brief descriptions of the smart technologies that contributed to the emergence of Industry 4.0 concept. Additionally, based on reports and surveys conducted on a global scale regarding the application of intelligent technologies, the author analyses the current state of implementing these technologies in manufacturing processes and provides forecasts regarding the adoption of the solutions based on Artificial Intelligence in global enterprises in the near future.

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Ugljanin, Emir, Dragan Stojanović, Ejub Kajan, and Zakaria Maamar. "RE-ENGINEERING OF SMART CITY'S BUSINESS PROCESSES BASED ON SOCIAL NETWORKS AND INTERNET OF THINGS." Facta Universitatis, Series: Automatic Control and Robotics 16, no. 3 (January 24, 2018): 275. http://dx.doi.org/10.22190/fuacr1703275u.

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This paper reports our experience with developing a Business-2-Social (B2S) platform that provides necessary support to all this platform’s constituents, namely business processes, social media (e.g., social network), and Internet of Things (IoT). This platform is exemplified with smart cities whose successful management requires a complete integration of IoT and social media capabilities into the business processes implementing user services. To ensure a successful integration, social actions, that a smart city would allow citizens execute, are analyzed in terms of impact of these smart city’s business processes. Reactions to these actions are tracked and then analyzed to improve user services.

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Adesipo, Adegbite, Oluwaseun Fadeyi, Kamil Kuca, Ondrej Krejcar, Petra Maresova, Ali Selamat, and Mayowa Adenola. "Smart and Climate-Smart Agricultural Trends as Core Aspects of Smart Village Functions." Sensors 20, no. 21 (October 22, 2020): 5977. http://dx.doi.org/10.3390/s20215977.

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Attention has shifted to the development of villages in Europe and other parts of the world with the goal of combating rural–urban migration, and moving toward self-sufficiency in rural areas. This situation has birthed the smart village idea. Smart village initiatives such as those of the European Union is motivating global efforts aimed at improving the live and livelihood of rural dwellers. These initiatives are focused on improving agricultural productivity, among other things, since most of the food we eat are grown in rural areas around the world. Nevertheless, a major challenge faced by proponents of the smart village concept is how to provide a framework for the development of the term, so that this development is tailored towards sustainability. The current work examines the level of progress of climate smart agriculture, and tries to borrow from its ideals, to develop a framework for smart village development. Given the advances in technology, agricultural development that encompasses reduction of farming losses, optimization of agricultural processes for increased yield, as well as prevention, monitoring, and early detection of plant and animal diseases, has now embraced varieties of smart sensor technologies. The implication is that the studies and results generated around the concept of climate smart agriculture can be adopted in planning of villages, and transforming them into smart villages. Hence, we argue that for effective development of the smart village framework, smart agricultural techniques must be prioritized, viz-a-viz other developmental practicalities.

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