Design and research of life-saving cotton-blended miners’ clothing

Xiangfang, Ren; Lei, Shen; Zhang, Xiying; Chen, Han; Yan, Huang; Peng, Jin

doi:10.1080/10803548.2021.1896193

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…A framework (Figure 11) needs to be designed in such a way that the people can easily identify the respective rescue staff with location on the interactive LED display. Here, people and rescuing staff should wear smart clothing, as the information related to rescued individuals and their location will be wirelessly displayed on the LED display [107]. is indeed enhances the tracking of individuals during the rescue operation, and also this concept can be replicated in other areas for different interactive applications.…”

Section: Discussion and Recommendationsmentioning

confidence: 99%

Implementation of Digitalized Technologies for Fashion Industry 4.0: Opportunities and Challenges

Akram

Malik

Singh

et al. 2022

Scientific Programming

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The Sustainable Development Goals of the United Nations prioritize sustainability by 2030. The fashion industry is one most substantial manufacturing industries that generate an economy of 3 trillion dollars and contributes to 2% of the world’s gross domestic product. In addition to this, the fashion industry must focus on social and environmental concerns, where it should create fashionable products to promote sustainable consumption and production. Sustainable consumption and production can be achieved with the establishment of resilient infrastructure with innovation. The resilient infrastructure with innovation is realized by the integration of digital technologies such as the Internet of Things (IoT), artificial intelligence (AI), blockchain, augmented reality (AR), and virtual reality (VR). With this motivation, this study explored the different studies that implemented these technologies in the fashion industry for smart cloth (health), supply chain, circular economy, dress recommendation system, fashion trend forecasting, health prediction, and virtual and augmented based shopping experience. Along with the progress of these technologies in the fashion industry, the study also discussed limitations and provided recommendations such as wide adoption of blockchain in fashion supply chain; advancement in energy storage for smart cloth; integration of IoT, AI, and edge computing; and smart clothing-based framework for rescue operation for future enhancement.

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Section: Discussion and Recommendationsmentioning

confidence: 99%

Implementation of Digitalized Technologies for Fashion Industry 4.0: Opportunities and Challenges

Akram

Malik

Singh

et al. 2022

Scientific Programming

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“…In recent years, wireless sensor networks (WSNs) have been widely used in various fields, such as environmental monitoring, smart grid, smart transportation, etc. [1][2][3][4][5]. Benefiting from the outstanding performance of micro-electro-mechanical systems (MEMS) technology, these sensors are compact, have limited processing and computing capabilities, and are relatively affordable in comparison to traditional sensors.…”

Section: Introductionmentioning

confidence: 99%

“…2,3,4,5,6,7,8, s = 1, 2, ..., n 0 , and a constant ε > 0, satisfying ς T (0)P s ς(0) ≤ γ 2 ς T (0)R s ς(0), s = 1, 2, ...n 0 and the following linear matrix inequality constraints…”

mentioning

confidence: 99%

Distributed Robust Filtering over Sensor Networks with Quantized Measurement and Switching Topologies

Ding

Zhu

2021

Electronics

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This paper aims at exploring the theoretical research and distributed filtering design of state estimation for sensor networked systems with quantized measurement and switching topologies. In a sensor network, each sensor node has an independent static logarithmic quantizer function, and the quantized measurement is transmitted to the filtering network via the wireless network. In the corresponding filtering network, each local estimator achieves distributed consistent state estimation of the plant based on the local measurement and the neighboring shared information. In particular, the design of the distributed filter fully takes into account the fact that the communication links between the nodes are not fixed. That is, the communication topology has random switching, and such random switching behavior is described using Markov chains with partially unknown transition probabilities. A set of linear matrix inequalities gives the sufficient conditions for the existence of the distributed filter, while ensuring that the filter error system has the desired H∞ performance. Finally, two numerical simulations show the effectiveness of the design method.

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Distribution and transport of contaminants in soil through mining processes and its environmental impact and health hazard assessment: A review of the prospective solutions

Vinayagam,

Sathishkumar,

Ayyamperumal

et al. 2024

Environmental Research

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Design and research of life-saving cotton-blended miners’ clothing

Cited by 3 publications

References 5 publications

Implementation of Digitalized Technologies for Fashion Industry 4.0: Opportunities and Challenges

Implementation of Digitalized Technologies for Fashion Industry 4.0: Opportunities and Challenges

Distributed Robust Filtering over Sensor Networks with Quantized Measurement and Switching Topologies

Distribution and transport of contaminants in soil through mining processes and its environmental impact and health hazard assessment: A review of the prospective solutions

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