Exploring Building Information Modeling (BIM) and Internet of Things (IoT) Integration for Sustainable Building DOI Creative Commons
Yali Chen,

Xiaozi Wang,

Zhen Liu

и другие.

Buildings, Год журнала: 2023, Номер 13(2), С. 288 - 288

Опубликована: Янв. 18, 2023

Sustainable development, which has become the priority study of architectural design, is receiving increasing attention with global climate change. At same time, building industry urgently changing towards intelligent and digitalized tendencies. As a result, Building Information Modeling (BIM) Internet Things (IoT) make crucial contributions to transforming process. However, there little knowledge integration BIM–IoT in sustainable from macro perspective. Moreover, most existing research adopts literature review method lacks objective quantitative analysis. Few papers use bibliometric analysis respective BIM IoT fields. Furthermore, few studies Citespace software tools analyze integrated application BIM–IoT. Therefore, this paper aims investigate frontiers structure relationship between BIM-IoT explore hotspots, trends, future directions. A quick was proposed understand status these new rapidly developing This uses topic search web science core collection obtain relevant then for based on review. Controlled terms subject statistics Engineering Index database results are also used briefly examine fields’ hotspots as obtained Citespace. The show that: (1) focuses intelligence basis application, within field currently focused first three phases life cycle. (2) development buildings needs be considered its human social dimensions. provides platform sharing information communication among stakeholders involved building’s entire allows occupants better participate buildings’ design decision making. (3) In future, more emerging technologies such cloud computing big data required promote thus realize construction smart cities. researchers should pay transformation buildings.

Язык: Английский

Triboelectric Nanogenerator Enabled Wearable Sensors and Electronics for Sustainable Internet of Things Integrated Green Earth DOI
Yanqin Yang, Xinge Guo, Minglu Zhu

и другие.

Advanced Energy Materials, Год журнала: 2022, Номер 13(1)

Опубликована: Ноя. 18, 2022

Abstract The advancement of the Internet Things/5G infrastructure requires a low‐cost ubiquitous sensory network to realize an autonomous system for information collection and processing, aiming at diversified applications ranging from healthcare, smart home, industry 4.0 environmental monitoring. triboelectric nanogenerator (TENG) is considered most promising technology due its self‐powered, cost‐effective, highly customizable advantages. Through use wearable electronic devices, advanced TENG developed as core enabling self‐powered sensors, power supplies, data communications aforementioned applications. In this review, advancements TENG‐based electronics regarding materials, material/device hybridization, systems integration, convergence, in environment monitoring, transportation, homes toward future green earth are reported.

Язык: Английский

Процитировано

230
Generative artificial intelligence in the metaverse era DOI Creative Commons

Zhihan Lv

Cognitive Robotics, Год журнала: 2023, Номер 3, С. 208 - 217

Опубликована: Янв. 1, 2023

Generative artificial intelligence (AI) is a form of AI that can autonomously generate new content, such as text, images, audio, and video. provides innovative approaches for content production in the metaverse, filling gaps development metaverse. Products ChatGPT have potential to enhance search experience, reshape information generation presentation methods, become entry points online traffic. This expected significantly impact traditional engine products, accelerating industry innovation upgrading. paper presents an overview technologies prospective applications generative breakthrough metaverse technology offers insights increasing effectiveness creating creative content.

Язык: Английский

Процитировано

152
Flexible Energy Storage Devices to Power the Future DOI

Junyuan He,

Leiqing Cao,

Jiao‐Jiao Cui

и другие.

Advanced Materials, Год журнала: 2023, Номер 36(4)

Опубликована: Авг. 6, 2023

Abstract The field of flexible electronics is a crucial driver technological advancement, with strong connection to human life and unique role in various areas such as wearable devices healthcare. Consequently, there an urgent demand for energy storage (FESDs) cater the needs forms products. FESDs can be classified into three categories based on spatial dimension, all which share features excellent electrochemical performance, reliable safety, superb flexibility. In this review, application scenarios are introduced main representative applied disparate fields summarized first. More specifically, it focuses types matched from both structural material aspects. Finally, challenges that hinder practical views current barriers presented.

Язык: Английский

Процитировано

143
Deep‐Learning‐Assisted Noncontact Gesture‐Recognition System for Touchless Human‐Machine Interfaces DOI
Hao Zhou, Wei Huang,

Zhuo Xiao

и другие.

Advanced Functional Materials, Год журнала: 2022, Номер 32(49)

Опубликована: Сен. 30, 2022

Abstract Human‐machine interfaces (HMIs) play important role in the communication between humans and robots. Touchless HMIs with high hand dexterity hygiene hold great promise medical applications, especially during pandemic of coronavirus disease 2019 (COVID‐19) to reduce spread virus. However, current touchless are mainly restricted by limited types gesture recognition, requirement wearing accessories, complex sensing platforms, light conditions, low recognition accuracy, obstructing their practical applications. Here, an intelligent noncontact gesture‐recognition system is presented through integration a triboelectric sensor (TTS) deep learning technology. Combined deep‐learning‐based multilayer perceptron neural network, TTS can recognize 16 different gestures average accuracy 96.5%. The further applied control robot for collecting throat swabs mode. Compared present HMIs, proposed diverse utilizing charges naturally carried on human fingers without need complicated device structures, adequate achieves accuracy. This could provide exciting opportunities develop new generation equipment, as well public facilities, smart robots, virtual reality, metaverse, etc.

Язык: Английский

Процитировано

132
Advances and Applications of Metal‐Organic Frameworks (MOFs) in Emerging Technologies: A Comprehensive Review DOI Creative Commons
Dongxiao Li,

Anurag Yadav,

Hong Zhou

и другие.

Global Challenges, Год журнала: 2023, Номер 8(2)

Опубликована: Дек. 30, 2023

Abstract Metal‐organic frameworks (MOFs) that are the wonder material of 21st century consist metal ions/clusters coordinated to organic ligands form one‐ or more‐dimensional porous structures with unprecedented chemical and structural tunability, exceptional thermal stability, ultrahigh porosity, a large surface area, making them an ideal candidate for numerous potential applications. In this work, recent progress in design synthetic approaches MOFs explore their applications fields gas storage separation, catalysis, magnetism, drug delivery, chemical/biosensing, supercapacitors, rechargeable batteries self‐powered wearable sensors based on piezoelectric triboelectric nanogenerators summarized. Lastly, work identifies present challenges outlines future opportunities field, which can provide valuable references.

Язык: Английский

Процитировано

101
Exploring the revolution in healthcare systems through the applications of digital twin technology DOI Creative Commons
Abid Haleem, Mohd Javaid, Ravi Pratap Singh

и другие.

Biomedical Technology, Год журнала: 2023, Номер 4, С. 28 - 38

Опубликована: Март 22, 2023

Digital Twin is a virtual replica of an item that gaining traction in several sectors. This technology creating significant advancements the field healthcare. A machine or person's digital twin entity. In order to create model can be tested and simulated, one has gather enormous volumes data through Internet Things (IoT) sensors for associated application. Based on patient's lifestyle, regular eating habits, blood sugar data, this helps warn patient about prescriptions, dietary adjustments, medical consultations, other situations. uses substantial quantity from multiple IoT devices Artificial Intelligence (AI)-powered models. Patients' own previous insights help select most appropriate medication, forecast results particular surgery, control chronic illness. The main aim paper study its need healthcare sector. Paper discusses various features services Healthcare. Various technologies tools Twins Healthcare are also briefed further identified discussed, along with applications. sector realised framework focused patient. future, should think more advanced ways provide best-in-class treatment Planning post-digital era crucial as organisations continue their transformation initiatives.

Язык: Английский

Процитировано

100
Soft Modular Glove with Multimodal Sensing and Augmented Haptic Feedback Enabled by Materials’ Multifunctionalities DOI
Minglu Zhu, Zhongda Sun, Chengkuo Lee

и другие.

ACS Nano, Год журнала: 2022, Номер 16(9), С. 14097 - 14110

Опубликована: Авг. 23, 2022

Immersive communications rely on smart perception based diversified and augmented sensing feedback technologies. However, the increasing of functional components also raises issue increased system complexity. Here, we propose a modular soft glove with multimodal functions by exploring utilizing multiple properties materials. With single design basic structure, main unit possesses triboelectric-based static dynamic contact, vibration, strain, pneumatic actuation. Additionally, same is capable offering tactile haptic electroresistive thermal feedback. Together machine learning algorithm, proposed not only performs real-time detection dexterous hand motion direct but realizes intelligent object recognition feedback, which significantly enhance communication more comprehensive information. In general, this utilizes facile designed device to achieve dual-way among humans, machines, virtual world via perceptions.

Язык: Английский

Процитировано

99
Can enterprise green technology innovation performance achieve “corner overtaking” by using artificial intelligence?—Evidence from Chinese manufacturing enterprises DOI

Tian Hong-na,

Liyan Zhao,

Yunfang Li

и другие.

Technological Forecasting and Social Change, Год журнала: 2023, Номер 194, С. 122732 - 122732

Опубликована: Июль 14, 2023

Язык: Английский

Процитировано

94
Advances in flexible sensors for intelligent perception system enhanced by artificial intelligence DOI Creative Commons
Hongsen Niu, Feifei Yin, Eun‐Seong Kim

и другие.

InfoMat, Год журнала: 2023, Номер 5(5)

Опубликована: Март 23, 2023

Abstract Intelligent perception means that with the assistance of artificial intelligence (AI)‐motivated brain, flexible sensors achieve ability memory, learning, judgment, and reasoning about external information like human brain. Due to superiority machine learning (ML) algorithms in data processing intelligent recognition, systems possess match or even surpass systems. However, built‐in these need work on dynamic irregular surfaces, inevitably affecting precision fidelity acquired data. In recent years, strategy introducing developed functional materials innovative structures into has made some progress toward above challenges, blessing ML algorithms, accurate various scenarios have been achieved. Here, most representative for constructing are comprehensively reviewed, research based is further summarized, intersection two expected unlock new opportunities next‐stage AI development. image

Язык: Английский

Процитировано

86
Soft Robotic Perception System with Ultrasonic Auto-Positioning and Multimodal Sensory Intelligence DOI Open Access
Qiongfeng Shi, Zhongda Sun, Xianhao Le

и другие.

ACS Nano, Год журнала: 2023, Номер 17(5), С. 4985 - 4998

Опубликована: Март 3, 2023

Flexible electronics such as tactile cognitive sensors have been broadly adopted in soft robotic manipulators to enable human-skin-mimetic perception. To achieve appropriate positioning for randomly distributed objects, an integrated guiding system is inevitable. Yet the conventional based on cameras or optical exhibits limited environment adaptability, high data complexity, and low cost effectiveness. Herein, a perception with remote object multimodal cognition capability developed by integrating ultrasonic sensor flexible triboelectric sensors. The able detect shape distance reflected ultrasound. Thereby manipulator can be positioned position perform grasping, during which capture sensory information top profile, size, shape, hardness, material, etc. These are then fused deep-learning analytics, leading highly enhanced accuracy identification (∼100%). proposed presents facile, low-cost, effective methodology integrate intelligence robotics, significantly expanding functionalities adaptabilities of current systems industrial, commercial, consumer applications.

Язык: Английский

Процитировано

84