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1
Pigenet, Michel, and Noelle Gerome. "Archives sensibles. Images et objets du monde industriel et ouvrier." Le Mouvement social, no. 184 (July 1998): 121. http://dx.doi.org/10.2307/3779467.
2
Farasat Rahimli, Sabuhi. "INTELLIGENT OPTIMIZATION SYSTEM FORMULATED ON INDUSTRIAL INTERNET PLATFORM." SCIENTIFIC WORK 71, no. 10 (October 23, 2021): 75–79. http://dx.doi.org/10.36719/2663-4619/71/75-79.
Анотація:
The opinion of "Industrial Internet" was first suggested by General Electric. As a modern infrastructure of the 4 -th industrial revolution, Industrial Internet has become a substantial mechanism to actualiza digital revision of industrial economy. The Industrial Internet platform is a system formulated on huge data gathering, accumulation and analysis, which is based to the necessity of digitalization, networking and philosophizing of manufacturing industry. In order to settle the problems of actual rearward industrial data, improve the capacity of data acquisition and deal with the industrial interconnection platform, the industrial intelligent optimization system generates the product services needed by industrial enterprises and realizes the object of industrial optimization. Key words: Industrial Internet; industrial intelligence; industrial mechanism
3
Philibert, Jean-Marc. "Erakor ou la lente consommation d'un capital collectif imaginaire." Anthropologie et Sociétés 18, no. 3 (September 10, 2003): 75–89. http://dx.doi.org/10.7202/015329ar.
Анотація:
Résumé Erakor ou la lente consommation d'un capital collectif imaginaire Quand les membres d'une société du Tiers-Monde consomment des objets/signes en provenance de l'Occident, ils empruntent ipso facto les idées et perceptions qui sont responsables initialement de la production de tels objets. La consommation de ces objets est donc aussi la consommation de signes/idées associés au capitalisme industriel. Les sociétés du Tiers-Monde peuvent-elles résister à une telle pénétration idéologique? Ont-elles les moyens de neutraliser ces systèmes d'idées qui s'étendent des vêtements jusqu'aux modes de communication en passant par l'habitat et les systèmes de santé ? Le résultat doit-il être nécessairement l'assujettissement consommatoire et la recolonisation? Cet article tente d'offrir des éléments de réponse à ces questions au moyen d'une analyse des comportements consommatoires en milieu rural et urbain au Vanuatu, analyse qui met l'accent sur les rapports entre formes de consommation, construction identitaire et reproduction idéologique.
4
Priya George, Anu, and X. Felix Joseph. "Designing a Portable Camera Image Acquisition System Operating Within an Indoor Wi-Fi Network and Optimized for A Robotic Vehicle." International Journal of Engineering & Technology 7, no. 3.27 (August 15, 2018): 132. http://dx.doi.org/10.14419/ijet.v7i3.27.17673.
Анотація:
Nowadays people working in industrial sectors face lot of problem like placing a valuable objects or things in some place unknowingly and searching it. To overcome this problem we are moving into the field of Object searching and identify which assist industrial sectors and research labs. Object searching mechanism is a challenging task. Real time object search poses many difficulties in recognizing objects. We are tending to do real time image capturing as well as recognizing techniques and it will forward data through Wi-Fi used in embedded device. The proposed system makes use of computer vision techniques based on real time image processing and recognizing the object and send via internet to PC.
5
Băjenescu, Titu-Marius I. "INTERNET OF THINGS (IOT) CONQUERS THE WHOLE GLOBE." Journal of Social Sciences IV, no. 2 (May 2021): 107–16. http://dx.doi.org/10.52326/jss.utm.2021.4(2).11.
Анотація:
The article examines the market for connected objects, which is gradually taking its place in the global economy. Autonomous cars, smartphones, video surveillance, connected objects are already present in our daily lives. However, it is in industry that the Internet of Things has developed the most. The Internet of Things, or IoT, is a concept defining the extension of the Internet to physical objects. This includes not only the connected objects, but also the sensors, software and network through which these objects operate. All connected objects are powered by software, which collects data - that are then processed in the cloud. They are, therefore, programmed and programmable objects that can interact via a WiFi, Bluetooth or 4G connection. Connected objects can be found in two main applications: an industrial application and an everyday application. In the industrial sector, connected objects are very well established in various sectors of activity: automotive, aeronautics, agriculture, health, commerce, public sector, logistics, etc. Everyday applications, known as consumer applications, are struggling to develop despite the announced Eldorado. Even though many connected everyday objects exist (toothbrushes, hoovers, watches, home automation, etc.), the business model is having trouble being set up and connected objects are having trouble proving their usefulness in everyday life. There needs to be consistency and logic in the range of connected products on offer and not just a range of independent products.
6
Madugula, Lavanya. "Applications of IoT in Manufacturing: Issues and Challenges." Journal of Advanced Research in Embedded System 8, no. 1&2 (July 29, 2021): 3–7. http://dx.doi.org/10.24321/2395.3802.202101.
Анотація:
The Internet of Things (IoT) is the global network of inter-related physical devices such as sensors, objects, computing devices, mechanical instruments, smart applications and human resources that are becoming an essential part of the internet. These devices are the sources of data which provide abundant information in manufacturing processes. In an industrial environment, the Industrial Internet of Things (IIoT) plays a pivotal role in manufacturing. IIoT is the transformation of manufacturing process by making the industries more efficient, productive, and smarter. In order to survive, withstand in the market place and gain competitive advantage, the manufacturers are initiating to leverage IIoT technologies and data analytics. With globalization, global competitive pressures are challenging industries and manufacturing companies to manage the gaps in the workforce skills, drive out inefficiencies from the existing systems and enhance their business opportunities. The world is plunging into an era of data inter-connectivity and companies are able to enhance their production after adapting new technologies. In this context, this paper provides an understanding of the concept of IIoT and smart manufacturing. Further, the paper discusses in detail the issues concerning different applications of IoT in the industrial sector; and presents the challenges encountered in an IoT-based Industrial Data Management System (IDMS), which can manage the huge industrial data, support online monitoring and control smart manufacturing.
7
Le Roch, Yann, and Éric Ballot. "Internet(s) des objets logistiques et modèles d'affaires." Annales des Mines - Réalités industrielles Mai 2013, no. 2 (2013): 97. http://dx.doi.org/10.3917/rindu.132.0097.
8
Mr. Dharmesh Dhabliya, Ms. Ritika Dhabalia. "Object Detection and Sorting using IoT." International Journal of New Practices in Management and Engineering 3, no. 04 (December 31, 2014): 01–04. http://dx.doi.org/10.17762/ijnpme.v3i04.31.
Анотація:
Color based object sorting has a significant impact in food and processing Industries. Hand picking process in sorting the huge number of objects in industry is very common and laborious task, and time consuming as well, which needs many labors and this conventional method is prone to error. The proposed work aims to replace the hand-picking process by Industrial Internet of Things. The goal of the technique is to sort and count the objects in to different bins accord to their color. A Color sensor, TCS 230 will identify the object and with the help of motors they are made to drop into different bins. The identification of the object is made with the help of frequency concept. As it known that different colors have different wave lengths, so are the different frequencies (f=c/λ). For each frequency, the motor rotates to different angles and thus container is attached to motor is also made to rotate to a certain angle, and the object is made to drop into the bin by a jerk. This action details regarding number of objects manufactured are sent to the IoT server, where the vendor and customer will know the details remotely. This proposed work finds a wide range of usage in fruit industry (to pick the unripen fruit), in candy industry, in grain industry (to remove the black stones from the grains), in recycling industry.
9
Han, Tian, Shi, Huang, and Li. "Low-Power Distributed Data Flow Anomaly-Monitoring Technology for Industrial Internet of Things." Sensors 19, no. 12 (June 22, 2019): 2804. http://dx.doi.org/10.3390/s19122804.
Анотація:
. In recent years, the industrial use of the internet of things (IoT) has been constantly growing and is now widespread. Wireless sensor networks (WSNs) are a fundamental technology that has enabled such prevalent adoption of IoT in industry. WSNs can connect IoT sensors and monitor the working conditions of such sensors and of the overall environment, as well as detect unexpected system events in a timely and accurate manner. Monitoring large amounts of unstructured data generated by IoT devices and collected by the big-data analytics systems is a challenging task. Furthermore, detecting anomalies within the vast amount of data collected in real time by a centralized monitoring system is an even bigger challenge. In the context of the industrial use of the IoT, solutions for monitoring anomalies in distributed data flow need to be explored. In this paper, a low-power distributed data flow anomaly-monitoring model (LP-DDAM) is proposed to mitigate the communication overhead problem. As the data flow monitoring system is only interested in anomalies, which are rare, and the relationship among objects in terms of the size of their attribute values remains stable within any specific period of time, LP-DDAM integrates multiple objects as a complete set for processing, makes full use of the relationship among the objects, selects only one “representative” object for continuous monitoring, establishes certain constraints to ensure correctness, and reduces communication overheads by maintaining the overheads of constraints in exchange for a reduction in the number of monitored objects. Experiments on real data sets show that LP-DDAM can reduce communication overheads by approximately 70% when compared to an equivalent method that continuously monitors all objects under the same conditions.
10
Sandri, Eva. "Quelles utilisations des images de l’exposition sur les sites Internet de musées ? Congruence et incohérence entre objets et images numériques." Article cinq 7, no. 2 (May 7, 2015): 95–109. http://dx.doi.org/10.7202/1030252ar.
Анотація:
Dans cet article, l’auteure observe la relation entre les objets d’une collection muséale tels qu’ils sont disposés dans l’exposition et tels qu’ils sont valorisés sur les sites Internet des institutions muséales. L’objectif étant d’évaluer le degré de congruence entre ces deux lieux, il s’agira de comparer les deux médias que sont l’exposition et le site Internet afin de mettre au jour la relation qui les unit et de comprendre s’il y a un rapport de subordination ou de complémentarité entre les deux. Cette analyse sera menée à l’aide des outils descriptifs du webdesign avec les exemples de trois institutions muséales visitées en mai 2013 : Boréalis Centre d’histoire de l’industrie papetière de Trois-Rivières, le Centre d’histoire de Montréal et le musée Grévin de Montréal. À travers l’analyse de la place des substituts numériques de ces objets sur les sites Internet de ces institutions se dessine une typologie de ces sites : ceux qui expliquent l’image et ceux qui donnent simplement à voir le lieu d’exposition. On observera que la majorité des sites Internet étudiés n’accordent pas une place centrale à leurs objets de collection. Le contenu des sites semble davantage focalisé sur l’évocation du lieu et les informations pratiques. Il y aurait donc un décalage dans la façon dont les objets de musée (notamment des musées d’histoire et d’ethnographie) sont exposés dans les deux médias. En outre, cette circulation de l’objet de collection entre le statut d’expôt, de document, de source et d’oeuvre, complexifie la mise en place d’un site Internet qui distingue clairement ce qui relève de la collection et ce qui relève de la description de la collection. À l’heure où le document et l’archive tendent à faire partie des collections, les sites Internet observés rendent compte de cette indécision. En observant le parti pris de ces sites, on remarque que les images numériques montrent les lieux de l’exposition (notamment l’organisation spatiale de l’espace) plus que leurs objets.
11
Kilani, Rim, Ahmed Zouinkhi, Eddy Bajic, and Mohamed Naceur Abdelkrim. "A Socio-Inspired Methodology and Model for Advanced and Opportunistic Interactions between Industrial IoT Objects." Electronics 11, no. 8 (April 18, 2022): 1281. http://dx.doi.org/10.3390/electronics11081281.
Анотація:
The concept of the Internet of Things (IoT) is widely discussed. IoT is one of the emerging technologies that have caught the attention of many researchers. The increase in the number of exchanges of services between heterogeneous or homogeneous connected objects with the integration of social networking concepts gives rise to the concept of the Social Internet of Things (SIoT). The SIoT concept contributes to the evolution of interactions between industrial objects by improving deterministic mechanisms towards intelligent interactions. The integration of the SIoT concept into the Industrial Internet of Things (IIoT) gives rise to the Social Internet of Industrial Things (SIoIT) and plays an important role in improving system performance in Industry 4.0. In this article, we propose an innovative methodology and a model of socio-inspired interaction between industrial communicating objects inspired by sociological approaches. Thanks to this model, socialized industrial communicating objects form a community of objects, autonomously and dynamically, by exchanging messages to know each other perfectly, and service requests between objects are executed adaptively according to the principles of social interaction governed by socio-inspired strategies and conditions. The model is implemented, tested and validated in a Netlogo multi-agent system simulation environment.
12
Lampropoulos, Georgios, Kerstin Siakas, and Theofylaktos Anastasiadis. "Internet of Things in the Context of Industry 4.0: An Overview." International Journal of Entrepreneurial Knowledge 7, no. 1 (June 1, 2019): 4–19. http://dx.doi.org/10.2478/ijek-2019-0001.
Анотація:
Abstract Due to successive technological advancements, developments and innovations, the global industrial landscape has drastically transformed over the last years. The fourth industrial revolution (Industry 4.0) aims at transforming traditional industries into intelligent ones by incorporating innovative technologies. Industry 4.0 enables physical assets to be integrated into intertwined digital and physical processes thus creating smart factories and intelligent manufacturing environments. Internet of Things (IoT) is a rapidly growing technology that has drastically contributed to the Industry 4.0 realization. IoT pursues to pervade our everyday environment and its objects, linking the physical to the digital world and allowing people and “things” to be connected anytime, anywhere, with anything and anyone ideally using any network and service. IoT is regarded as a dynamic and global network of interconnected “things” uniquely addressable, based on standard and interoperable communication protocols and with self-configuring capabilities. Despite still being at an early development, adoption and implementation stage, Industry 4.0 and IoT can provide a multitude of contemporary solutions, applications and services. Hence, they can improve life quality and yield significant personal, professional and economic opportunities and benefits in the near future. This study scrutinizes IoT in the Industry 4.0 context. More specifically, it presents related studies, describes the IoT concept and explores some of the numerous IoT application domains. Moreover, it presents and analyzes the concept of Industry 4.0 and the benefits it offers as well as the relevant key technologies (e.g. industrial internet of things (IIoT), cyber-physical systems (CPSs), cloud computing, big data and advanced data analytics). Furthermore, it describes the concept of intelligent manufacturing and highlights the main IoT and Industry 4.0 challenges and open research issues. Finally, the need for innovation in the industrial domain and the impact and benefits that IoT and Industry 4.0 provide to everyday life and industries is described.
13
Begić, H. "IoT and 5G enabled construction detection model." IOP Conference Series: Materials Science and Engineering 1209, no. 1 (December 1, 2021): 012009. http://dx.doi.org/10.1088/1757-899x/1209/1/012009.
Анотація:
Abstract The Fourth Industrial Revolution (4IR) introduced positive changes to some industries, while for most construction industries it is still enthusiastically anticipated. The 4IR focusing on the construction industry in literature is known as Construction 4.0. The Construction 4.0 concept is invoked to transform the current ways the construction industry operates while ensuring benefits, such as reduced overall construction projects’ costs and duration, improved quality and work safety, etc. Due to the increasing web usage, it is anticipated that the 4IR technologies will achieve full potentials by the uprising of the fifth generation technology standard for broadband cellular networks (i.e. 5G). One of the most important 4IR technologies is found to be the Internet of Things (IoT). In this perspective, a construction monitoring approach, more precisely a model for construction detection and object spatial/time positioning, is presented in this paper. While still in its initial phase, the model was tested and verified in the laboratory environment for small-scale object detection. It was found that the quality of the model will be significantly improved with the use of the 5G network, while the objects’ pool, as big data required for the model’s deep learning, is highly dependent on the IoT.
14
Park, Jong. "Advances in Future Internet and the Industrial Internet of Things." Symmetry 11, no. 2 (February 16, 2019): 244. http://dx.doi.org/10.3390/sym11020244.
Анотація:
After the emergence of the Internet and mobile communication networks, the IoT has been considered as the third wave of information technology. The Industrial Internet of Things (IIoT) is the use of Internet of Things (IoT) technologies in manufacturing. IIoT incorporates machine learning and big data technology, sensor data, and machine-to-machine (M2M) communications that have existed in industrial areas for years. In the future, people and objects will be connected at any time, any place, with anything and anyone and will utilize any network and services. IIoT is creating a new world in which people and businesses can manage their assets in more informed ways and can make more opportune and better-informed decisions. Many advanced IIoT and 5G technologies have been successfully applied in everyday life, but there are still many practical problems tackled by traditional methods which are generally difficult to experimentally solve in the advanced Industrial Internet of Things. Therefore, in this special issue, we accepted five articles in three different dimensions: communication networks, optimized resource provisioning and data forwarding, privacy and security.
15
Ali, H., M. I. Zainur, M. Elshaikh, and AH Mohd Aman. "Development of Vision Based Smart Gripper for Material Handling Using Internet of Things." Journal of Physics: Conference Series 2312, no. 1 (August 1, 2022): 012040. http://dx.doi.org/10.1088/1742-6596/2312/1/012040.
Анотація:
Abstract Robotic grippers have becoming an emerging trend due to their boundless applications in industrial automation. Nowadays, the deployment of vision based smart gripper for material handling in industrial applications remains challenging and ongoing research. As the Internet of Things (IoT) becomes more commercialized, the various concept of IoT have been integrated with the gripper due to efficient usage. Therefore, this project proposes the development of vision-based sensor of smart gripper for material handling in industrial applications that integrates with the IoT. The rationale of integrating IoT to vision based smart gripper is that it allows authenticated users to log in from any device, anywhere, and view video or images from vision based smart gripper in real-time for critical material handling. This system incorporates a vision sensor camera that acts as an “eye” to automatically detect and recognize the object with different weights and shapes and send the information to the robot for the next task. This smart gripper adopts a force sensor mounted into the fingertip to control the force applied when working with a wide range of objects with different weights. As for the electronic system, power module, communication and control module, sensor and actuator as well as user interface module have been adopted and integrated into the system. In the software development system, user interface configuration was developed through mobile application in which it communicates with Raspberry Pi B+ camera to serve as IoT platform. A series of experiments shows that the vision based gripper using IoT able to detect and recognize the objects and then send the information/command directly to the robot to execute grasping and lifting phase of the object to the desired location that has been assigned.
16
Shaev, Associate Prof Yury, and PhD student Elena Samoylova. "Industrial and Consumer Internet of Things: Ontological Basis." European Journal of Multidisciplinary Studies 5, no. 1 (May 19, 2017): 482. http://dx.doi.org/10.26417/ejms.v5i1.p482-482.
Анотація:
The Internet of Things is beginning to play an increasingly important role in information technologies, in industrial production and in everyday life and in. The Internet of things is a concept of a network of objects that involves the exchange of data between devices - "things". Such data exchange doesnt often involve human participation, or it is minimized. The person acts as a process designer or a user. An important task for the humanities is the rethinking of Internet of things phenomenon. The Internet of things is an interesting ontological phenomenon, within which takes place the transformation of the being of modern man. On the one hand, a person releases time and energy for his own development in directions related to creativity and doesnt care about "things" - objects and devices that lead an autonomous "life". On the other hand, to some extent, the person himself, being involved in the technological and information universe, becomes a "thing" and loses many dimensions of his ontological potencies. The modern man lives in conditions of multi-layered existence. Modern information technologies, and, in particular, the Internet of things, symptomatically fix the split of human existence on the one hand, and its diversity on the other. One of the important tasks of modern philosophy is to develop approaches to the analysis of the man’s ontological foundations in modern informational and technological world.
17
Skytsiouk, Volodymyr, and Tatiana Klotchko. "BASIC PRINCIPLES OF SPATIAL POSITION OF IMAGINARY AND REAL TONTOR STEP." Bulletin of Kyiv Polytechnic Institute. Series Instrument Making, no. 63(1) (July 4, 2022): 100–106. http://dx.doi.org/10.20535/1970.63(1).2022.260659.
Анотація:
The article defines the relevance of modeling the parameters of spatial location of an abstract object when performing various functions. Thus, modeling makes it possible to determine object movement trajectories both during industrial application in technological processes and when used to create bionic objects, for example, the action of artificial limbs, correction of the movement trajectory of an object with spatial orientation defects.
The main goal of research was to substantiate the analytical models of object movement, taking into account spatial coordinate systems, according to which coordinate transformations are carried out during the functioning of an abstract object of various applications.
The creation of a sensory complex to compensate for violations of limb functions based on the justification of analytical models of vector field of main systems of the object, characteristic of its vital activity, can solve the possibility of real actions of an abstract biotechnical object in interaction with other objects of the external environment. It is necessary to compare the idealized parameters of vector fields with the real current characteristics of the object under study and to determine the difference as a differential function that corresponds to diagnostic parameters of state of object's limbs trajectory. Or when applied in industrial conditions, errors in the reproduction of the movement trajectory are taken into account.
As a result, the study of nature of this functional dependence of the state violation and its restoration in the automated mode of operation of the integrated tool will allow the creation of a computer-integrated hardware solution for the identification of objects that interact by approaching and touching their surfaces.
Thus, determining the positioning of TONTOR step in the space of movement of objects and during their interaction provides the possibility of the functioning of each abstract object when performing various types of work.
At the same time, it is necessary to significantly develop the base of physical and mathematical models that determine the vector fields of objects in dynamics over a certain time, taking into account the TONTOR step of the phantom and real spaces of the existence and operation of the object. Thus, hardware implementation of this hypothesis increases the accuracy of identification of objects interactions with a human limb, regardless of its condition, and the accuracy of determining their relative location in space.
18
Linhart, Danièle. "Une fumée sans feu." II. Transformations du travail et de ses approches, no. 25 (November 5, 2015): 169–73. http://dx.doi.org/10.7202/1033922ar.
Анотація:
À la demande des responsables de ce numéro, l’auteure prend comme point de départ de sa réflexion les analyses présentées dans les articles qui précèdent. Elle se demande s’il est juste de parler de modifications radicales du travail industriel et de la transformation parallèle des objets de recherche de la sociologie du travail. Elle constate que si les chercheurs se passionnent de plus en plus pour l’étude des changements dans l’entreprise, ils délaissent peu à peu les études sur le travail, où les choses évoluent fort peu. Elle montre combien il est réducteur de considérer la sociologie du travail comme une discipline accompagnatrice de la période taylorienne. C’est ce qu’auraient fait à tort bon nombre de sociologues du travail, dont la portée de l’analyse critique se trouverait ainsi affaiblie.
19
Zhukova, Liudmila V. "Express-Evaluation of Industrial Enterprises Operations in Moscow with Universal Composite Indicator." Economics of Contemporary Russia, no. 4 (December 29, 2021): 89–97. http://dx.doi.org/10.33293/1609-1442-2021-4(95)-89-97.
Анотація:
Recent years were a transformation period of the analytic systems to support management decision-making on continuously available open data away from official periodic reports. In this regard, the system of control and supervision of management objects by the state controlling bodies is changing, new sources of information are included; monitoring of the external environment and media space is introduced. The author proposes an approach to the formation of a generalized key indicator for rapid assessment of the object of management (on the example of an industrial enterprise) on the basis of open data from the Internet. The object of the research is developing universal comprehensive indicator for rapid assessment of the compliance of the economic object of management on the part of regulators or relevant services on the basis of structured and unstructured data from the Internet. Scientific novelty of the study is to propose the concept of building a universal comprehensive indicator (UCI) based on a logical function that uses an extended set of arguments, including both continuous and discrete variables. Transformation into the values of the indicator is proposed using the logical rules, given the requirements for the control object from the regulators. Main results of the work: the concept of constructing universal comprehensive indicator allowing to get an express assessment of the state of the object in control was developed. The algorithm was tested to assess the need and feasibility for the state authorities in the financial assistance of the Moscow industrial enterprise. The approach in this research is applicable to current monitoring of the situation due to official reporting at the tactical level of management.
20
Purohit, Santanu. "Technological transition from analog to internet of things ( IoT ) on Indian petro-retail’s customer service." Indian Journal of Science and Technology 13, no. 42 (November 14, 2020): 4364–68. http://dx.doi.org/10.17485/ijst/v13i42.1964.
Анотація:
Objectives: To identify the gap in the adaptation of IoTs towards meeting the customer expectation for services in petro-retailing in India. Method: Review of available published research articles, case studies, published article in journals and websites on uses of IOTs in various sectors like retail, telecom manufacturing, supply chain management, oil & gas etc. Findings: Technological advances have had a significant impact on both consumers as well as industries. While internet changed the way human interact, Internet of Things (IoT) is expected to change the way machines interact. Adding a networked layer to regular objects has transformed the way we use and interact with them. Industries like healthcare, manufacturing, telecom, etc have seen significant changes with the introduction of IoT. Oil & Gas industry has also seen implementation of IoT but the adoption has varied according to sector. Upstream sector, involved in exploration and drilling, has seen significant adoption while Mid-stream sector, involved in transport and storage, has seen only specific application. IoT solutions have been used for cost optimization as well as improved operations management. Downstream sector (including refining and retail) has seen only limited adoption. Novelty: IoTs are the technology on which future society is going to ride. The use of IoT is going to have huge impact in service industry including petro retailing. Hence the analysis of gap in adaptation shall be helpful for the academician’s, managers in Oil & Gas industry for further review, study and implementation. Keywords: Internet of Things; Indian fuel retail; IOT in oil & gas; new technology adoption; customer experience
21
Sim, Sungho, and Hanyong Choi. "A study on the service discovery support method in the IoT environments." International Journal of Electrical Engineering & Education 57, no. 1 (December 5, 2018): 85–96. http://dx.doi.org/10.1177/0020720918813824.
Анотація:
The fourth Industrial Revolution is rapidly growing due to the development of ICT and the need for organic linkage in the industry. The Internet of Things (IoT), in which objects and objects from active relationships such as sensing, networking and mutual cooperation without human intervention is the core technology of the fourth Industrial Revolution, which can be linked to various industrial fields. As the IoT environment spreads, IoT devices are continuously increasing in various industries. IoT devices connected to the Internet are as different as each application environment. Many information is derived from the interaction between an IoT device and a device or between a human and an IoT device, as well as devices that provide simple data such as sensing. This paper proposes a support method to enable extended service search when users search for services using information generated in IoT environment. The existing service discovery method focuses on the method by which the user selects the service based on the simple service information disclosed by the service provider. In order to solve the problem of existing service discovery method, this study proposed a support method that enables users to search service discovery flexibly even when using existing methods in service discovery in IoT environment. The proposed method provides a user-centered service search environment construction through a search method using user IoT information which was not considered in the existing service search. This makes up for the problem of service availability and provider-oriented service discovery through the establishment of a user service discovery environment.
22
Durairaj, M., and K. Muthuramalingam. "A New Authentication Scheme with Elliptical Curve Cryptography for Internet of Things (IoT) Environments." International Journal of Engineering & Technology 7, no. 2.26 (May 7, 2018): 119. http://dx.doi.org/10.14419/ijet.v7i2.26.14364.
Анотація:
Internet of Things (IoT) consists of a large number of connected objects that are communicating with each other. To support trusted communication between IoT objects, the authentication procedures should be used and applied to the communicating entities. Internet of Things (IoT) is an emerging technology, which makes the remote sensing and control across the heterogeneous network a reality, and has good prospects in industrial applications. As an essential infrastructure, Wireless Sensor Networks (WSNs) play a crucial role in industrial IoT. Due to the resource-constrained feature of sensor nodes, the design of security and efficiency balanced authentication scheme for WSNs becomes a significant challenge in IoT applications. In this paper, an anonymous authentication scheme for WSNs in an Internet of Things environments.
23
Shukalov, A. V., D. A. Zakoldaev, I. O. Zharinov, and O. O. Zharinov. "Control, computing and communication in industrial cyberphysical systems with feedback." Journal of Physics: Conference Series 2094, no. 4 (November 1, 2021): 042036. http://dx.doi.org/10.1088/1742-6596/2094/4/042036.
Анотація:
Abstract The cyber-physical production base technologies are control, computing and connection being applied altogether in the industrial object technological processes automatic regulation systems. They use control technologies in multi-loops and multi-channel regulation systems forming a hierarchy structure. Automatics functional elements unite in the intermediary regulation scheme stabilizing hierarchy control objects, which states are detected with sensors. Computing technologies are used in the cyber-physical production imitation virtual environment and provide processes simulation based on control models and cyber-physical systems digital twins structured in hierarchy levels. The regulation accuracy increase is provided with physical and model processes results comparison detecting non-definition factors acting production processes accuracy. The communication technology is used for the cyber-physical systems net information exchange given with the Internet of Things parameters. The cyber-physical systems continuous work in the non-ideal communication net regulation interval is provided with preventive control signals compensating operation and information delay of automatic conveyor lines. There is a scheme given of multi-loop and multi-channel automatic cyber-physical production using control objects hierarchy based on cyber-physical systems hierarchy and item manufacturing technological tasks.
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Licite-Kurbe, Lasma, and Athul Chandramohan. "Characteristics and Challenges of the Internet of Things in Entrepreneurship." Rural Sustainability Research 43, no. 338 (August 1, 2020): 27–34. http://dx.doi.org/10.2478/plua-2020-0004.
Анотація:
AbstractThe Internet of Things (IoT) is a computing concept that describes the idea of everyday physical objects being connected to the Internet and being able to identify themselves to other devices, and day by day it becomes popular in everyday life as well as in entrepreneurship. The IoT covers broad areas, including manufacturing, the health sector, agriculture, smart cities, security and emergencies among many others. The market for the industrial IoT is estimated to surpass 107 billion euros by 2021 and reach a compound annual growth rate of 7.3% as of 2020. The IoT makes an impact on all industries and provides benefits for various areas of business; however, business may be faced with some risks as well. The research aim is to analyse the benefits and risks of the IoT in entrepreneurship. The descriptive method, analysis and synthesis, the induction and deduction methods were used to achieve the aim. The research has revealed that the IoT can provide several opportunities for business in all fields of operations – marketing, logistics, accounting and human resource management. However, businesses may be faced with some challenges related to privacy and security, processing, analysis and management of data, as well as monitoring and sensing.
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Milash, V. S. "OBJECTS OF INTERNET LEGAL RELATIONS IN CONDITIONS DIGITALIZATION OF ECONOMY." Economics and Law, no. 2 (September 9, 2021): 16–24. http://dx.doi.org/10.15407/econlaw.2021.02.016.
Анотація:
The main trend of modern economic turnover and development is the global digitalization of all spheres and industries of the economy. For this reason new types of economic relations arise within their boundaries. The article examines the current situation and prospects for the development of legal regulation of Internet relations in the context of economic development. A number of problematic issues of the legal nature of individual objects of the economic rights that exist in a virtual (digital) format are analyzed. The issues of legal regulation of relations in the structure of which there is the so-called virtual element in a particular digital / virtual object are specifically analyzed. Special attention is paid to virtual assets, computer programs and software, artificial intelligence and the concept of the “Internet of Things”, etc. Emphasis is placed on the need for legislative consolidation of the concepts of virtual property and virtual objects, as well as objects with hybrid cyber-physical nature and their subsequent inclusion in the list of property in the economy of the business sector. Basic approaches to legal regulation of robotics based on artificial intelligence have been established. It is determined that the possibility of achieving a synergistic effect in the legal regulation of relations with virtual objects makes it necessary to make appropriate additions to the provisions of the Economic and Civil codes of Ukraine, as well as modernization of legislation in the field of intellectual property and innovation activities, investment legislation, legislation on property and property rights assessment, e-commerce, foreign economic activity on the Internet, protection of consumer rights of digital goods, etc. When adding and formulating these provisions into national legislation it should be taken into consideration the basis for international legal regulation of these issues submitted by acts of soft law, which are of a recommendatory nature. (These are the recommendations on artificial intelligence developed by the ETO-T Y.2060 (06/2012) Economic Telecommunication Organization “Overview of the Internet of things”).
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Qian, Haizhong. "Research on RFID Anticollision Algorithms in Industrial Internet of Things." Wireless Communications and Mobile Computing 2021 (December 14, 2021): 1–10. http://dx.doi.org/10.1155/2021/6883591.
Анотація:
As a perception enabling technology of the Internet of Things, RFID can quickly identify target objects. The tag-to-tag collision problem seriously affects the identification performance of the RFID system, which causes the reader to be unable to accurately identify any tag within the specific time. The mainstream anticollision algorithms are limited by the performance bottleneck under the standard framework. In this paper, we analyze the features and merits of three kinds of algorithms in detail and propose a new algorithm architecture for RFID anticollision. Through the extensive experimental results comparison, we prove that the new architecture is effective to improve the performance of DFSA algorithms. Finally, we summarize the future research trends in the RFID anticollision algorithms.
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Colombo, Jamires Fátima, and João De Lucca Filho. "INTERNET DAS COISAS (IOT) E INDÚSTRIA 4.0." Revista Interface Tecnológica 15, no. 2 (December 30, 2018): 72–85. http://dx.doi.org/10.31510/infa.v15i2.496.
Анотація:
A Internet das Coisas (do inglês Internet of Things, IoT), é uma infraestrutura de comunicação que permite conectar o mundo real e o virtual, criando um “novo mundo” mais inteligente nos diversos segmentos da sociedade moderna. A IoT é utilizada para designar a conectividade entre vários objetos do mundo físico, sensíveis à internet, por exemplo, eletrodomésticos, carros e ainda máquinas e equipamentos industriais através de sensores, que são capazes de capturar eventos do mundo real e enviá-los às plataformas de comunicação e interconexão que recebem dados e informações, permitindo a manipulação de forma inteligente e construindo uma rede de objetos interconectados. A IoT aliada a tecnologia do Big Data, transforma o setor industrial e seus processos decisórios, tendo grande importância para indústria 4.0 sendo este um novo paradigma de processos de produção. O presente artigo foi elaborado de demostrar os impactos desses novos paradigmas no mundo dos negócios e tem como objetivo estudar e explorar os conceitos da IoT, abordar aspectos de segurança, além de aprofundar sua relação com a indústria 4.0 e demonstrar suas aplicações principalmente no setor industrial. Ao final da elaboração deste trabalho, observou-se que o tema escolhido é de grande importância, principalmente no ambiente empresarial devido a comunicação entre as máquinas, gerando mais eficiência porque aumentam as possibilidades de análise das informações que são a base para a tomada de decisão.
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Vidal-Balea, Aida, Oscar Blanco-Novoa, Paula Fraga-Lamas, Miguel Vilar-Montesinos, and Tiago M. Fernández-Caramés. "A Collaborative Augmented Reality Application for Training and Assistance during Shipbuilding Assembly Processes." Proceedings 54, no. 1 (August 18, 2020): 4. http://dx.doi.org/10.3390/proceedings2020054004.
Анотація:
This paper presents the development of a novel Microsoft HoloLens collaborative application that allows shipyard operators to interact with a virtual clutch during its assembly in a real Turbine workshop. Such an Augmented Reality (AR) experience acts as a virtual guide while assembling different parts of a ship. In particular, the proposed application allows operators to position the clutch on a real environment and interact with it. The application also provides information about the documentation of each part of the clutch, showing its blueprints and physical measurements. The proposed AR application enables collaborative AR experiences, allowing users to visualize the same content and animations at the same time and interact simultaneously with 3D objects from multiple devices. Furthermore, the application is integrated with an Industrial Internet of Things (IIoT) framework, resulting on an AR-IIoT application that is able to receive and display real-time sensor data on information panels, as well as to trigger actions through actuators by making use of virtual user interfaces.
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George, AnuPriya, and X. Felix Joseph. "Implementation of Internet Connected Industrial Robot Using Hog Algorithm based Object Recognition." IOP Conference Series: Materials Science and Engineering 590 (October 15, 2019): 012055. http://dx.doi.org/10.1088/1757-899x/590/1/012055.
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Raimundo, Ricardo Jorge, and Albérico Travassos Rosário. "Cybersecurity in the Internet of Things in Industrial Management." Applied Sciences 12, no. 3 (February 2, 2022): 1598. http://dx.doi.org/10.3390/app12031598.
Анотація:
Nowadays, people live amidst the smart home domain, while there are business opportunities in industrial smart cities and healthcare. However, there are concerns about security. Security is central for IoT systems to protect sensitive data and infrastructure, whilst security issues have become increasingly expensive, in particular in Industrial Internet of Things (IIoT) domains. Nonetheless, there are some key challenges for dealing with those security issues in IoT domains: Applications operate in distributed environments such as Blockchain, varied smart objects are used, and sensors are limited, as far as machine resources are concerned. In this way, traditional security does not fit in IoT systems. The issue of cybersecurity has become paramount to the Internet of Things (IoT) and the Industrial Internet of Things (IIoT) in mitigating cybersecurity risk for organizations and end users. New cybersecurity technologies/applications present improvements for IoT security management. Nevertheless, there is a gap in the effectiveness of IoT cyber risk solutions. This review article discusses the literature trends around opportunities and threats in cybersecurity for IIoT, by reviewing 70 key articles discovered from a profound Scopus literature survey. It aims to present the current debate around the issue of IIoT rather than suggesting any particular technical solutions to solve network security problems.
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Negin, F., A. K. Aijazi, L. Trassoudaine, and P. Checchin. "3D OBJECT DETECTION BY FEATURE AGGREGATION USING POINT CLOUD INFORMATION FOR FACTORY OF THE FUTURE." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-2-2020 (August 3, 2020): 893–900. http://dx.doi.org/10.5194/isprs-annals-v-2-2020-893-2020.
Анотація:
Abstract. Nowadays, object detection is considered as an unavoidable aspect that needs to be addressed in any robotic application, especially in industrial settings where robots and vehicles interact closely with humans and objects and therefore a high level of safety for workers and machines is required. This paper proposes an object detection framework suitable for automated vehicles in the factory of the future. It utilizes only point cloud information captured by LiDAR sensors. The system divides the point cloud into voxels and learns features from the calculated local patches. The aggregated feature samples are then used to iteratively train a classifier to recognize object classes. The framework is evaluated using a new synthetic 3D LiDAR dataset of objects that simulates large indoor point cloud scans of a factory model. It is also compared with other methods by evaluating on SUN RGB-D benchmark dataset. The evaluations reveal that the framework can achieve promising object recognition and detection results that we report as a baseline.
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Koteswara Rao, N., and Gandharba Swain. "A systematic Study of Security Challenges and Infrastructures for Internet of Things." International Journal of Engineering & Technology 7, no. 4.36 (December 9, 2018): 700. http://dx.doi.org/10.14419/ijet.v7i4.36.24226.
Анотація:
The proliferation of smart objects with capability of sensing, processing and communication has grown in recent years. In this scenario, the Internet of Things (IoT) connects these objects to the Internet and provides communication with users and devices. IoT enables a huge amount of new applications, with which academics and industries can benefit, such as smart cities, health care and automation. In this environment, compose of constrained devices, the widespread adoption of this paradigm depends of security requirements like secure communication between devices, privacy and anonymity of its users. This paper presents the main security challenges and solutions to provide authentication and authorization on the Internet of Things.
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Potryasaev, S. A., and I. Yu Pimanov. "Managing information processes in systems for modeling natural objects." Informatization and communication 5 (December 2020): 182–87. http://dx.doi.org/10.34219/2078-8320-2020-11-5-182-187.
Анотація:
The paper proposes a methodological approach and software for managing information processes in systems for modeling natural objects on the example of a system for operational forecasting of fl oods. The proposed approach is based on application of cyber-physical systems, the industrial Internet and fog computing concepts. The results of testing the technologies for managing information processes demonstrate increasing both reliability of modeling and effi ciency of using the fl ood forecasting system computing resources.
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Senthilkumar, Mr M. Senthilkumar, and Murugan Murugan. "Improving the security of the organization from the shadow IoT using Blow-fish encryption algorithm." Proceedings of The International Halal Science and Technology Conference 14, no. 1 (March 10, 2022): 29–35. http://dx.doi.org/10.31098/ihsatec.v14i1.483.
Анотація:
Smart cities, traffic congestion, waste management, structural health, security, emergency services, logistics, retail, industrial control, and health care are just a few of the applications that the Internet of Things (IoT) can help with. The Internet of Things (IoT) is a mega-technology that can connect to anything, anybody, at any time, place, platform, and network. It has a significant impact on the entire blockchain of enterprises, smart objects, and devices, systems, and services provided by heterogeneous network connection (HNC) and is being developed as a smart pervasive framework for smart devices. Because IoT devices link to complicated equipment, interact with hostile surroundings and are deployed on a variety of unregulated platforms, they confront several security risks and challenges. Because the Internet of Things (IoT) has the capacity to integrate any sort of network or sophisticated system, it may be vulnerable to vulnerabilities inherent in the separate systems that make up the integrated network. The purpose of this research paper is to investigate the security issues that individual systems responsible for IoT interconnection face, as well as their impact on the overall IoT system.
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Rodríguez, Fabián Geovanny Cuzme. "Security in smart objects, a general view at the physical and logical level." INNOVATION & DEVELOPMENT IN ENGINEERING AND APPLIED SCIENCES 1, no. 1 (June 6, 2019): 33–46. http://dx.doi.org/10.53358/ideas.v1i1.5.
Анотація:
In this research we addressed an issue of big importance with regard to information and computer science security. Within this area, we know that security is framed within the CIA triangle, which refers to confidentiality, integrity and availability of information or objects connected to the Internet, a subject that should be treated with great awareness. There were some questions that we inevitably must ask in order to understand at a deeper level the different aspects of information security, such as: What is an object? How safe is our private information? What privacy settings do we have? We live in an interconnected world where most of devices at home, businesses, industries, organizations, and cities are connected to the Internet. Within that environment, these objects are fulfilling some functionality that facilitates the lives of each individual, although making them somehow dependent on this technology with a high degree of risk to which they are exposed. This study aimed to explain and demonstrate that most of electronic devices or intelligent objects that are developed, locally or overseas, do not have a proper design with regard to making information security a first priority, then, proposing a guiding scheme that allows an adequate development cycle of intelligent objects. The study concluded that we are not 100% safe, as well as cyber-attacks will continue to evolve, so the conception of information security will have to evolve as well.
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Chukwuere, Joshua Ebere. "Internet of Things (IoT) Cybersecurity Challenges and Mitigation Mechanisms." Khazanah Sosial 4, no. 2 (April 16, 2022): 235–40. http://dx.doi.org/10.15575/ks.v4i2.17638.
Анотація:
This study deployed desktop research methodology in seeking to understand the cybersecurity challenges confronting Internet of Things (IoT) and the mitigation mechanisms. Objects are no longer independent from each other; rather, connectivity through the power of the internet has connected them. IoT is no longer a new invention or innovation in the technology industry and human lives. The concept is widely used in different industries such as healthcare, food, finance, manufacturing, government, insurance, oil and gas, transportation, postal services, defence, and many more. These industries are using the ability of IoT to function optimally in facilitating different activities. Users of technology devices use IoT devices in homes, offices, and other places to increase productivity and efficiency daily. This article analyses the cybersecurity challenges of IoT and its mitigation mechanisms. The findings identified different cybersecurity challenges confronting IoT and the ways to mitigate them.
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Cao, Wenbin, and Yoshinari Miyamoto. "Droplet-based Freeform Fabrication of Aluminum Objects through Internet." Journal of the Japan Society of Powder and Powder Metallurgy 49, no. 11 (2002): 1023–27. http://dx.doi.org/10.2497/jjspm.49.1023.
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Saadaoui, Safa, Mohamed Tabaa, Fabrice Monteiro, Mouhamad Chehaitly, and Abbas Dandache. "Discrete Wavelet Packet Transform-Based Industrial Digital Wireless Communication Systems." Information 10, no. 3 (March 7, 2019): 104. http://dx.doi.org/10.3390/info10030104.
Анотація:
The industrial internet of things (IIoT) known as industry 4.0, is the use of internet of things technologies, via the Wireless Sensor Network (WSN), to enhance manufacturing and industrial processes. It incorporates machine learning and big data technologies, to allow machine-to-machine communication that have existed for years in the industrial world. Therefore, it is necessary to propose a robust and functional communication architecture that is based on WSNs, inside factories, in order to show the great interest in the connectivity of things in the industrial environment. In such environment, propagation differs from other conventional indoor mediums, in its large dimensions, and the nature of objects and obstacles inside. Thus, the industrial medium is modeled as a fading channel affected by an impulsive and Gaussian noise. The objective of this paper is to improve robustness and performances of multi-user WSN architecture, based on Discrete Wavelet Transform, under an industrial environment using conventional channel coding and an optimal thresholding receiver.
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Karjadi, Daniel Avian, and Haryono Haryono. "Objects Monitoring RADAR using Bluetooth Ultrasonic." SinkrOn 7, no. 2 (March 28, 2022): 359–66. http://dx.doi.org/10.33395/sinkron.v7i2.11347.
Анотація:
Currently the development of information technology is very fast in its development. Up to all fields can not be separated from information technology. In the industrial era 4.0, there are also a lot of Internet of Things devices. Almost every field has used many IoT devices. The presence of IoT-based devices is very helpful in modern human life today. Moreover, with the development of microcontrollers and open source makes someone create a device quickly. One of them is making a prototype for sensing objects. By utilizing the Arduino Uno microcontroller and Ultrasonic sensors to create a sensing prototype. The results of this sensing can be displayed on notebooks and mobile phones. The microcontroller also sends sensing sensor data via Bluetooth as a wireless communication medium. Called Internet of Thing if a device can send signals to other devices. Various data communications can be via wireless or wire. Mobile app that is used to display sensing results from Ultrasonic sensors. Use of the App Inventor platform as a front end for mobile apps. This device is only limited to a short distance. Due to the limitations of the Ultrasonic sensing sensor it does not exceed 1 meter. This prototype can be developed using a longer distance and can be applied to remote sensing, if changing the sensing sensor with a remote sensing sensor.
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Vivien, Laurent, Delphine Marris-Morini, Eric Cassan, Carlos Alonso-Ramos, Charles Baudot, Frédéric Bœuf, and Bertrand Szelag. "Circuits intégrés photoniques silicium." Photoniques, no. 93 (September 2018): 18–22. http://dx.doi.org/10.1051/photon/20189318.
Анотація:
La photonique silicium suit la devise : « plus petit, moins cher, plus rapide », comme la microélectronique plusieurs années auparavant, en exploitant une intégration à très grande échelle des composants et circuits intégrés de plus en plus complexes. L’incroyable évolution des systèmes communicants avec en particulier le déploiement des réseaux Internet et mobiles, des objets connectés et des capteurs a fait émerger la photonique silicium pour répondre à ces nouveaux enjeux majeurs.
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Nițulescu, Ioana-Victoria, and Adrian Korodi. "Supervisory Control and Data Acquisition Approach in Node-RED: Application and Discussions." IoT 1, no. 1 (August 10, 2020): 76–91. http://dx.doi.org/10.3390/iot1010005.
Анотація:
The Internet of Things (IoT) represents the binder of two worlds, specifically the real one and the digital one: tangible objects become recognizable in the virtual world, having digital matches, thus creating a network that enables the connection in-between the components. With the contemporary evolution of this domain, interconnectivity has become a primary fraction of new research and development directions. The Industrial Internet of Things (IIoT) is a concept that covers the more industrial level of the physical and digital connection and stays behind the Industry 4.0 concept. Supervisory control and data acquisition (SCADA) applications are important in the industry, their core being very present as complex products of big companies, at high prices. The Node-RED environment quickly evolved as one of the most important perspectives in IIoT, able to replace, up to a certain level, classic SCADA applications, bringing benefits to the industry. In this paper, the main focus is to evidence this aspect and to develop an application that will demonstrate the functionality of the concept, making use of protocols such as Modbus TCP (Transmission Control Protocol) for interacting with industrial devices and Message Queuing Telemetry Transport (MQTT) to interact with higher-levels, which provides a publish-subscribe structuring and a low band-width usage. The application uses logging and archiving modules based on InfluxDB database and is conceived to achieve the visual supervisory structure as close as possible to well-known SCADA solutions. The presented work results prove the efficiency of the solution.
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Chandradhara, Monish, Ashlin George, Mohammed Faraaz, and Aryan Saraf. "Design of IoT based Smart Home System." Journal of University of Shanghai for Science and Technology 23, no. 12 (December 13, 2021): 249–61. http://dx.doi.org/10.51201/jusst/21/121013.
Анотація:
The Internet of Things (IoT) is used to describe a network of physical objects which are connected to each other with the help of embedded sensors, transceivers and software code to communicate and share data with each other. The Internet of Things, which first took shape back in the 1980s through an ARPA-NET connected Coca-Cola Vending machine in Carnegie Mellon University has come a long way since then. In today’s world a growing proportion of new home appliances are coming with IoT features embedded in them. These include, but are not limited to Television Sets, Refrigerators, Microwave Ovens, Fitness trackers, Smart watches and even IoT enabled light bulbs. IoT devices are not only used in Homes but also in Industries where they can play a pivotal role in bringing down operating costs and helping companies make better business decisions to align their companies in the right direction. With the advent of Industrial Internet of Things (IIoT) and Industry 4.0, a new standard has been set that organizations follow to gain a lot of key advantages such as improving productivity, customer experience, driving down costs and taking better informed decisions. IoT devices have also entered the healthcare industry where they play a paramount role in monitoring vital signs of patients. These devices continuously monitor all the vital signs such as heart rate, blood pressure and oxygen saturation.
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Ping, Pei, and Yu N. Petrenko. "Mobile robot navigation path algorithm in 3d industrial internet of thing (iot) environment based on 5g mobile communication." «System analysis and applied information science», no. 1 (July 5, 2019): 16–24. http://dx.doi.org/10.21122/2309-4923-2019-1-16-24.
Анотація:
With the significant growth of the semiconductor industry, creating small devices with powerful processing ability and network capabilities are no longer a dream for engineers. Currently, Internet of Things (IoT) has become one of the hottest topics in both industry and academia of wireless communication field. The idea of the Internet of Things (IoT) is to connect every day physical objects such as microwave, doors, lightings and so on. The technical concept of the IoT is to enables these different physical objects to sense information using sensors and sends this information to a server. Industrial IoT is to integrate various technologies to improve business services in different sectors. It implicitly indicates the behavior of machine-to-machine communications. Each of industrial IoT as service domains has its own communication requirements that are measured differently in both such as reliability, Quality of service (QoS), and privacy. According to the development of industrial automation, the industrial Internet of things (IoT) is widely used in smart factories to capture the data and manage the production. One of the most important components of industrial IoT is the wireless sensor network (WSN), which are easy to deploy and use in indoor industrial environments for a IoT of tasks, such as irrigation, machine condition monitoring, and environment monitoring. There are a IoT of works focusing on the WSN in industrial IoT. For example, in, a WSN-based hidden Markov model is proposed to estimate the occupancy in the building (also see other works [1], [2]). In this paper, the research focus on 3-D mobile robot tracking in 5G wireless communication combine to sensor network and mobile robot path planning. The mobile robot can move fast in the three-dimensional (3-D) indoor industrial environment for many tasks such as the monitoring of possible damages on industrial plants [3], data gathering and transmission from wireless communication [4], transportation [5].
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Trab, Sourour, Eddy Bajic, Ahmed Zouinkhi, André Thomas, Mohamed Naceur Abdelkrim, Hassen Chekir, and Radhouane Hadj Ltaief. "A communicating object’s approach for smart logistics and safety issues in warehouses." Concurrent Engineering 25, no. 1 (October 14, 2016): 53–67. http://dx.doi.org/10.1177/1063293x16672508.
Анотація:
A communicating object, or connected object, is a key element of the Internet of Things to shift a perceptible real world into a wide digital virtual world known as the cyber-physical system. Knowing that sustainability, safety, and logistic issues are among the significant goals and challenges of modern industrial enterprises, the communicating object can be a relevant concept to guarantee safety performance in logistics and warehouse management. This article presents the impacts and advantages of the communicating object in smart logistics and the design of a communicating object model inspired from Internet of Things European research projects, which controls and monitors safety risks in a hazardous and chemical industrial context. Generic safety-based scenarios are presented, which rely on a set of negotiated interaction mechanisms for storage and picking. The relevant deployment of intelligence in a warehouse management system leads to propose a new concept called “IoT-controlled Safe Area.” Our contribution is to bring informational, communicational, and decisional capabilities close to the warehousing physical world thanks to the communicating object. This enables achieving safety assurance with a decrease in the decision-making delay and an increase in the solving efficiency of local and dynamic disruptions, while avoiding inherent shortcomings of the warehouse management system centralization. For this, an industrial implementation is presented.
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Castiel, Luis David, and Paulo Roberto Vasconcellos-Silva. "A interface internet/s@úde: perspectivas e desafios." Interface - Comunicação, Saúde, Educação 7, no. 13 (August 2003): 47–64. http://dx.doi.org/10.1590/s1414-32832003000200004.
Анотація:
As tecnologias de informação e comunicação via Internet (TICs) são transformadas em elementos/processos/objetos produzidos para serem utilizados no âmbito das tecnobiociências humanas, vinculadas tanto às práticas da Biomedicina como às da Saúde Pública. As TICs ocupam domínios cada vez mais abrangentes da informática médica, produzindo setores de especialização denominados e-saúde, telemedicina, cibermedicina e a chamada informática para a saúde do consumidor (ISC). A ISC, em especial, procura suprir as necessidades de informação de consumidores que, a princípio, poderiam fazer escolhas para aquisições mais bem informadas. Surgem programas computacionais para auxílio a decisões (decision aids' software) e a Web semântica. Percebe-se nesta situação, a imbricação de três sistemas: o predomínio da razão instrumental e suas produções tecnocientíficas; o poder enfeixado pela junção de instituições e ideologias; a crença na supremacia dos mitos, símbolos e ritos promovidos pela tecnociência. Como possível resultado, temos uma colonização da sociedade pela aliança entre autoridades geradoras de conhecimentos especializados, profissionais encarregados de produzi-los como objetos técnicos ou empacotá-los com invólucros tecnológicos, o conjunto do sistema industrial e as redes de comunicação, distribuição e consumo.
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Zhang, Yaqiang, Zhenhua Wang, Lin Meng, and Zhangbing Zhou. "Boundary Region Detection for Continuous Objects in Wireless Sensor Networks." Wireless Communications and Mobile Computing 2018 (2018): 1–13. http://dx.doi.org/10.1155/2018/5176569.
Анотація:
Industrial Internet of Things has been widely used to facilitate disaster monitoring applications, such as liquid leakage and toxic gas detection. Since disasters are usually harmful to the environment, detecting accurate boundary regions for continuous objects in an energy-efficient and timely fashion is a long-standing research challenge. This article proposes a novel mechanism for continuous object boundary region detection in a fog computing environment, where sensing holes may exist in the deployed network region. Leveraging sensory data that have been gathered, interpolation algorithms have been applied to estimate sensory data at certain geographical locations, in order to estimate a more accurate boundary line. To examine whether estimated sensory data reflect that fact, mobile sensors are adopted to traverse these locations for gathering their sensory data, and the boundary region is calibrated accordingly. Experimental evaluation shows that this technique can generate a precise object boundary region with certain time constraints, and the network lifetime can be prolonged significantly.
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Efanov, D. V. "Monitoring System for Railway Automation Devices Based on the Industrial Internet of Things." World of Transport and Transportation 18, no. 6 (July 30, 2021): 118–34. http://dx.doi.org/10.30932/1992-3252-2020-18-6-118-134.
Анотація:
The features of monitoring systems for railway infrastructure and rolling stock are considered. The main approaches to organisation of monitoring of railway infrastructure and rolling stock objects are described, their advantages and disadvantages are noted. The main objective of this work is to present to the reader a conceptual vision of a system for monitoring devices and systems for ensuring train traffic safety, using technologies for transmitting diagnostic information over a radio channel. The methods of the theory of technical diagnostics and monitoring were used. Attention is focused on the use of wireless data transmission technologies and the use of autonomous industrial automation sensors for monitoring systems for railway automation devices.The architecture of the monitoring system is presented. The description of the system itself and the monitoring technology is given, the main advantages of the presented approach are noted, which, first, are linked to reduction of the volume of design work and of energy consumption of the system as a whole. The disadvantages are associated with the need to replace autonomous power supply sources, ensure security of the data transmission network, to proceed with periodic verification and calibration of measuring instruments. The basic diagrams of connecting sensors for measuring physical quantities to the circuit units of railway automation are presented. A list of parameters necessary for high-quality and effective monitoring of railway automation devices is given. The need is noted for both the control of mechanical and geometric parameters of devices and the accounting of data from interconnected objects of railway infrastructure and rolling stock. The proposed approach can find its application in the field of railway automation and, first of all, at those facilities that are located in premises with limited area (e.g. at subway facilities).
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Curman, Martin, Davor Kolar, Dragutin Lisjak, and Tihomir Opetuk. "Automated and Controlled Data Collection Using Industrial IoT System for Smart Maintenance." Tehnički glasnik 15, no. 3 (September 14, 2021): 401–9. http://dx.doi.org/10.31803/tg-20210728122543.
Анотація:
Maintenance 4.0 is a concept that involves the use of IIoT (Industrial Internet of Things) technology to connect maintenance objects, which enables remote data collection, information exchange, analysis and potential improvement in productivity and efficiency, as well as planning maintenance activities. The purpose of this paper is to present the development of the Industrial Internet of Things data collection system, which relies on Tinkerforge IoT modules, that enables automated data collection alongside control of sensor and data collection parameters. To evaluate the ability of the system, an experiment was conducted where two equipment states were simulated using a rotational equipment failure simulator. The experiment determined that the presented IIoT system had successfully gathered information and that there is a clear distinction in acceleration patterns when simulating two different equipment states.
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Karthikeyan, M., and T. S. Subashini. "Automated object detection of mechanical fasteners using faster region based convolutional neural networks." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 6 (December 1, 2021): 5430. http://dx.doi.org/10.11591/ijece.v11i6.pp5430-5437.
Анотація:
Mechanical fasteners are widely used in manufacturing of hardware and mechanical components such as automobiles, turbine & power generation and industries. Object detection method play a vital role to make a smart system for the society. Internet of things (IoT) leads to automation based on sensors and actuators not enough to build the systems due to limitations of sensors. Computer vision is the one which makes IoT too much smarter using deep learning techniques. Object detection is used to detect, recognize and localize the object in an image or a real time video. In industry revolution, robot arm is used to fit the fasteners to the automobile components. This system will helps the robot to detect the object of fasteners such as screw and nails accordingly to fit to the vehicle moved in the assembly line. Faster R-CNN deep learning algorithm is used to train the custom dataset and object detection is used to detect the fasteners. Region based convolutional neural networks (Faster R-CNN) uses a region proposed network (RPN) network to train the model efficiently and also with the help of Region of Interest able to localize the screw and nails objects with a mean average precision of 0.72 percent leads to accuracy of 95 percent object detection
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Prince Mary, S., Sareddi Vijaya Lakshmi, and Seemakurty Anuhya. "Color Detection and Sorting Using Internet of Things Machine." Journal of Computational and Theoretical Nanoscience 16, no. 8 (August 1, 2019): 3276–80. http://dx.doi.org/10.1166/jctn.2019.8176.
Анотація:
Color-Based Object Sorting is widely used in fruit sorting and candy sorting industries. The system puts forward a mechanism to detect color, sort items using image processing. This mechanism uses a camera, electronic circuitry and sorting mechanism. The system uses Arduino connected to the controller circuit to achieve the task. The camera attached to Arduino and is used to detect the object’s color. The motor feeds the input to the camera section. A signal is passed to the sorter mechanism; it uses a motor and directs the sorting tube towards the respective section. The feeder feeds the next input to the camera section and the process continues until every object gets sorted. Thus, a completely automated Internet of Things (IoT) based sorting machine is achieved.