Telemedicine for healthcare: Capabilities, features, barriers, and applications

Sensors International, Год журнала: 2021, Номер 2, С. 100117 - 100117

Опубликована: Янв. 1, 2021

Regular hospital visits can be expensive, particularly in rural areas, due to travel costs. In the era of Covid-19 Pandemic, where physical interaction becomes risky, people prefer telemedicine. Fortunately, medical reduced when telemedicine services are used through video conferencing or other virtual technologies. Thus, saves both patient's and health care provider time cost treatment. Furthermore, its fast advantageous characteristics, it streamline workflow hospitals clinics. This disruptive technology would make easier monitor discharged patients manage their recovery. As a result, is sufficient state that create win-win situation. paper aims explore significant capabilities, features with treatment workflow, barriers adoption Healthcare. The identifies seventeen applications Telemedicine described as practitioner diagnose treat remote area. Using apps for scheduled follow-up makes doctors more effective improves probability follow-up, reducing missing appointments optimising patient outcomes. Patients should have an accurate history show doctor any prominent rashes, bruises, signs need attention excellent quality audio-video system. Further, practitioners file management payment gateway technologies allow review process. However, this supplements consultation no way substitute consultation. Today safe choice who cannot go sit at home, especially during pandemic.

Язык: Английский

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Industry 5.0 or industry 4.0S? Introduction to industry 4.0 and a peek into the prospective industry 5.0 technologies

International Journal on Interactive Design and Manufacturing (IJIDeM), Год журнала: 2023, Номер 17(2), С. 947 - 979

Опубликована: Фев. 5, 2023

Язык: Английский

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Digital Twin applications toward Industry 4.0: A Review

Cognitive Robotics, Год журнала: 2023, Номер 3, С. 71 - 92

Опубликована: Янв. 1, 2023

Digital Twin is a virtual representation of objects, processes, and systems that exist in real-time. While can represent digital they are often used to connect the physical worlds. This technology plays vital role fulfilling various requirements Industry 4.0. It gives image factory's operations, communications network's activities, or movement items through logistics system. paper studies its need Then process supportive features for 4.0 diagrammatically discussed, finally, major applications identified. sophistication depends on product represented data available. Manufacturers learn how assets will behave real-time, world, by putting sensors particular assets, gathering data, creating duplicates, employing machine intelligence. They confidently make wise judgments, which helps improve company performance. assesses material usage save costs, discover inefficiencies, replicate tool tracking systems, do other things. construct clone specific equipment tools, exclusive products entire procedures, anything else want factory floor. Sensors collect real-time state this information, hand, must be handled processed appropriately. made feasible IoT sensors, from environment transmit it virtually recreated. information comprises design engineering details explain asset's shape, materials, components, behaviour

Язык: Английский

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Carbon emission reduction effects of industrial robot applications: Heterogeneity characteristics and influencing mechanisms

Technology in Society, Год журнала: 2022, Номер 70, С. 102034 - 102034

Опубликована: Июнь 21, 2022

Язык: Английский

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Enabling flexible manufacturing system (FMS) through the applications of industry 4.0 technologies

Internet of Things and Cyber-Physical Systems, Год журнала: 2022, Номер 2, С. 49 - 62

Опубликована: Янв. 1, 2022

The implementation of Industry 4.0 technologies has improved the flexibility entire manufacturing system. These are Internet Things (IoT), big data, Artificial Intelligence (AI), Additive Manufacturing (AM), advanced robotics, virtual reality, cloud computing, simulation, and among others, have arisen to improve in is becoming recognised as a unique industrial paradigm. It predicated on widespread adoption communication information technology, which would lead organisational performance flexibility. incorporation true game-changer terms customisation. Manufacturers may utilise this technology build digital twins items used by consumers real world. twin gets real-time from sensors actual objects. benefit simulation including predictive maintenance making errors easier faster rectify. This paper discusses its Flexible System (FMS) capability. Different dimensions Practices for improving FMS studied,d then several flexible approaches using are. One most significant benefits adopting infrastructure maintained service provider Cloud services allow auto-scaling, means that underlying computer resources automatically adjust changing utilisation rates. increases production flexibility, allowing facility respond market changes quickly. A plant control system varies output depending shifting utility rates, lowering costs. offers some incredible gone long way last years.

Язык: Английский

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From Corrective to Predictive Maintenance—A Review of Maintenance Approaches for the Power Industry

Sensors, Год журнала: 2023, Номер 23(13), С. 5970 - 5970

Опубликована: Июнь 27, 2023

Appropriate maintenance of industrial equipment keeps production systems in good health and ensures the stability processes. In specific sectors, such as electrical power industry, failures are rare but may lead to high costs substantial economic losses not only for plant consumers larger society. Therefore, industry relies on a variety approaches tasks, ranging from traditional solutions engineering know-how smart, AI-based analytics avoid potential downtimes. This review shows evolution support planning, monitoring supervision. We present older techniques traditionally used tasks those that rely IT automate perform inference process failure detection. analyze prognostics health-management detail, including their requirements, advantages limitations. The focuses power-generation sector. However, some issues addressed common other industries. article also presents concepts utilize emerging technologies related Industry 4.0, touching prescriptive analysis, Big Data Internet Things. primary motivation purpose existing practices classic methods by engineers, well modern drawing Artificial Intelligence concept 4.0. summary state art area predictive provides two benefits. On one hand, it leads improving processes matching tools methods. researchers directions further analysis new developments.

Язык: Английский

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Optimization of energy consumption in industrial robots, a review

Cognitive Robotics, Год журнала: 2023, Номер 3, С. 142 - 157

Опубликована: Янв. 1, 2023

Optimization of energy consumption in industrial robots can reduce operating costs, improve performance and increase the lifespan robot during part manufacturing. Choosing energy-efficient components such as motors, drives, controllers significantly robots. Over-sized motors heavy arms waste decrease efficiency By optimizing programs reducing idle time operations, amount spent be reduced to minimize using consumed by reduced. Also, regular maintenance providing maximum for robot's components. implementing management systems, monitored analyzed optimize working conditions. To lost reuse usage times, regenerative braking used The process manufacturing optimized order movements times analyze schedules robots, different methodologies from recent published papers are reviewed study. Proper selection, motor low wight arms, efficient programming schedules, system, elements production regarding minimization discussed As a result, future research works field presented consumption, operational sustainability operations terms productivity enhancement

Язык: Английский

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Digital economy to improve the culture of industry 4.0: A study on features, implementation and challenges

Green Technologies and Sustainability, Год журнала: 2024, Номер 2(2), С. 100083 - 100083

Опубликована: Фев. 24, 2024

The digital economy refers to the economic activities that emerge from connecting individuals, businesses, devices, data, and operations through technology. It includes online transactions across multiple sectors technologies, such as Internet, mobile technology, big information communications differs a traditional because it relies on transactions, its transformative effect industries Digital innovations Internet of Things (IoT), Artificial Intelligence (AI), Virtual Reality, Blockchain, autonomous vehicles all play part in creating economy. For this study, various papers "Digital Economy" "Industry 4.0" are identified Scopus, Google Scholar other research platforms further studied briefly. This review paper has been developed after studying needs Industry 4.0 Environment. defining trends, key enablers, features challenges associated with towards discussed Finally, identifies discusses significant requirements fulfilled Today, customers becoming aware goods services turning industry for long-term solutions by deploying technologies. is built hyper connectivity, growing interconnectedness organisations, machines due IoT. technologies automation, data exchange, cloud computing, robotics, AI, IoT, technological trends industrial sector's transformation, which aims achieve objectives intelligent manufacturing practices engage customers, emerging innovation. more digital, changing how products provided consumed. A new road map being help many adapt their conventional methods support revolution. In economy, scaled-up, integrated ecosystems leverage software generate value, build resilience, stimulate innovation via networked goods, assets, people, processes rapidly replace old, linear value chains partner participation.

Язык: Английский

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Virtual manufacturing in Industry 4.0: A review

Data Science and Management, Год журнала: 2023, Номер 7(1), С. 47 - 63

Опубликована: Ноя. 1, 2023

Virtual manufacturing is one of the key components Industry 4.0, fourth industrial revolution, in improving processes. enables manufacturers to optimize their production processes using real-time data from sensors and other connected devices 4.0. Web-based virtual platforms are a critical component enabling design, test, collaboratively efficiently. In radio frequency identification (RFID) technology used provide visibility control supply chain as well enable automation various Big analytics can be conjunction with valuable insights Artificial intelligence (AI) have potential enhance effectiveness, consistency, adaptability processes, resulting faster cycles, better-quality products, lower prices. Recent developments application systems digital different perspectives, such Internet Things, big analytics, additive manufacturing, autonomous robots, cybersecurity, RFID discussed this study analyze develop part process The limitations advantages 4.0 discussed, future research projects also proposed. Thus, productivity enhanced by reviewing analyzing applications

Язык: Английский

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Artificial intelligence governance: Ethical considerations and implications for social responsibility

Expert Systems, Год журнала: 2023, Номер 41(7)

Опубликована: Июль 18, 2023

Abstract A number of articles are increasingly raising awareness on the different uses artificial intelligence (AI) technologies for customers and businesses. Many authors discuss about their benefits possible challenges. However, time being, there is still limited research focused AI principles regulatory guidelines developers expert systems like machine learning (ML) and/or deep (DL) technologies. This addresses this knowledge gap in academic literature. The objectives contribution threefold: (i) It describes governance frameworks that were put forward by technology conglomerates, policy makers intergovernmental organizations, (ii) sheds light extant literature ‘AI governance’ as well intersection ‘AI’ ‘corporate social responsibility’ (CSR), (iii) identifies key dimensions governance, elaborates promotion accountability transparency; explainability, interpretability reproducibility; fairness inclusiveness; privacy safety end users, prevention risks cyber security issues from systems. implies all those who involved research, development maintenance systems, have ethical responsibilities to bear toward consumers other stakeholders society.

Язык: Английский

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