Editorial Material
Automation & Control Systems
Lei Shu, Gerhard Hancke, Victor S. Sheng, Liangmin Wang
Summary: Nowadays, billions of smart objects are connected to the internet and interact with the cloud. Remote monitoring, control systems, and data analysis are becoming more intelligent with the accumulation of data and crowdsourcing. Computing and storing functions are now executed on edge devices to reduce data transmission and improve efficiency. However, this convenience also brings about issues related to reliability and security, leading to new research opportunities and challenges in intelligent sensing and control.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Hardware & Architecture
Xiaoyang Li, Yi Gong, Kaibin Huang, Zhisheng Niu
Summary: To enhance IoT services, a large number of IoT devices are deployed in wireless networks for data collection and transmission. The integrated sensing and communication (ISAC) technique is proposed to design dual-functional signals for radar sensing and data communication. Over-the-air computation (AirComp) enables function computation via signal transmission based on analog-wave addition in multi-access channels. The emerging technology, over-the-air integrated sensing, communication, and computation (Air-ISCC), combines ISAC and AirComp to improve spectrum efficiency and reduce latency through simultaneous sensing, communication, and computation. In this article, we provide a timely overview of Air-ISCC by introducing its fundamentals, discussing advanced techniques, and identifying applications.
IEEE WIRELESS COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Jarrod Trevathan, Simon Schmidtke, Wayne Read, Tony Sharp, Abdul Sattar
Summary: This paper presents a simple and flexible open-source IoT electronics design for viable near real-time environmental measurements tailored to aquatic settings. The system focuses on low energy consumption, renewable energy supply, plug and play deployments, and stability over time. The development of the system is driven by actual deployment logistics and constraints, and through comparison and improvement, it aims to achieve the set goals.
INTERNET OF THINGS
(2021)
Review
Engineering, Electrical & Electronic
Likitha Lasantha, Nemai C. Karmakar, Biplob Ray
Summary: Chipless RFID sensors have great potential for underground mining applications due to their ability to meet all the requirements of wireless communication, maintenance-free operation, long lifespan, and battery-free functioning in harsh underground environments. This article analyzes existing chipless RFID sensor technologies in the frequency domain to assess their suitability for applications including environmental condition monitoring, support system stability detection, and health monitoring of mining structures. Based on this analysis, a new classification based on sensing materials and intrinsic sensing parameters is presented, taking into account accuracy, performance, and readability using 3-D electromagnetic analysis software. The article concludes by identifying challenges for future research in the underground mining application domain of chipless RFID sensors.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
A. Hernandez-Benitez, A. Balam, J. Vazquez-Castillo, Johan J. Estrada-Lopez, R. Quijano-Cetina, A. Bassam, F. Aviles, A. Castillo-Atoche
Summary: This article presents a portable strain sensing node based on MWCNTs/PP composites for long-range wireless networks with IoT connectivity. The node exhibits high piezoresistive sensitivity and accuracy, with ultra-low power consumption.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Anusha Vangala, Ashok Kumar Das, Neeraj Kumar, Mamoun Alazab
Summary: Agriculture is a vital area for human sustenance, and innovation is crucial for its survival as resources diminish. The rapid development of IoT and blockchain technology can improve the state of the food chain. This study proposes a generalized blockchain-based security architecture, conducts detailed cost analysis on schemes, and uncovers drawbacks in existing research through meticulous comparative analysis.
IEEE SENSORS JOURNAL
(2021)
Article
Automation & Control Systems
Qing Tian, Shiyu Xia, Meng Cao, Keyang Cheng
Summary: This article proposes a robust multiview prototype (RMVP) learning method to automatically fuse sensing data while removing noises in the learning process. By designing projection matrices and auxiliary margin matrices for each sensing view, the method effectively captures data prototypes and noise.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Review
Chemistry, Physical
Yanqin Yang, Xinge Guo, Minglu Zhu, Zhongda Sun, Zixuan Zhang, Tianyiyi He, Chengkuo Lee
Summary: This review presents the advancements of TENG-based electronics in areas such as materials, hybridization, systems integration, and applications in healthcare, environment monitoring, transportation, and smart homes. TENG technology, with its self-powered, cost-effective, and highly customizable advantages, is considered one of the most promising technologies for the development of Internet of Things/5G infrastructure.
ADVANCED ENERGY MATERIALS
(2023)
Review
Engineering, Electrical & Electronic
Ashish Pandharipande
Summary: The review discusses the applications of social sensing in IoT and identifies new directions to tackle challenges such as diverse social data, pernicious influencing, and data privacy.
IEEE SENSORS JOURNAL
(2021)
Article
Computer Science, Information Systems
Jialin Jiang, Ji Xiong, Zinan Wang, Zitan Wang, Zijie Qiu, Chunye Liu, Ziwen Deng, Yun-Jiang Rao
Summary: This paper introduces how to incorporate MIMO technology into QDAS and demonstrates through experiments that significant performance improvements can be achieved. This opens up a new direction for overcoming the limitations of finite frequency resources in QDAS.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Krishna Prasad Satamraju, Malarkodi Balakrishnan
Summary: Integrating emotional intelligence (EI) with IoT devices in the healthcare domain has the potential to revolutionize medical treatments and establish scalable digital healthcare platforms, although data security and privacy remain concerns.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Zhaozong Meng, Yirou Liu, Nan Gao, Zonghua Zhang, Zhipeng Wu, John Gray
Summary: Novel sensing and communication techniques have accelerated the convergence of the Internet of Things with the manufacturing industry, with RFID and sensing (RFID&S) techniques proposed to enhance data collection and integration efficiency for Industrial Internet of Things (IIoT) innovations. RFID&S enables unobtrusive online sensing and extends the information link for IIoT applications, demonstrating potential applications for industrial process control and integration.
IEEE COMMUNICATIONS MAGAZINE
(2021)
Editorial Material
Automation & Control Systems
Patrick Siarry, Arun Kumar Sangaiah, Yi-Bing Lin, Shiwen Mao, Marek R. Ogiela
Summary: The convergence of cognitive data science methods and models with IoT and big data systems has brought challenges to industrial systems that need to be addressed. Cognitive science will enhance the fluidity of analytics and improve IoT systems through data science techniques, impacting the future IoT networking systems.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Computer Science, Hardware & Architecture
Zubair Md Fadlullah, Nei Kato
Summary: The combination of IoT and integrated networks has transformed remote sensing for natural resource management, with edge computing playing a crucial role. Challenges like data privacy and network overhead must be addressed to fully leverage the benefits of this technology.
Article
Computer Science, Information Systems
Chengcheng Han, Li Chen, Weidong Wang
Summary: In this article, a multicluster cooperative CS (CCS) scheme is proposed for large-scale IoT networks to efficiently observe physical quantities. By utilizing cooperative observation and coherent transmission, the CCS scheme improves the performance of CS-based IoT networks. The scheme optimizes node clustering and power allocation under total power constraint to enhance recovery performance and cooperation gain.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Environmental
Jia-Wei Lu, Yingshi Xie, Beibei Xu, Yuanqing Huang, Jing Hai, Jixian Zhang
Review
Environmental Sciences
Ni-Bin Chang, Uzzal Hossain, Andrea Valencia, Jiangxiao Qiu, Qipeng P. Zheng, Lixing Gu, Mengnan Chen, Jia-Wei Lu, Ana Pires, Chelsea Kaandorp, Edo Abraham, Marie-Claire ten Veldhuis, Nick van de Giesen, Bruno Molle, Severine Tomas, Nassim Ait-Mouheb, Deborah Dotta, Remi Declercq, Martin Perrin, Leon Conradi, Geoffrey Molle
Summary: The paper analyzed global trends in contemporary FEW technology metrics and emphasized the importance of considering cost-benefit-risk tradeoffs when optimizing FEW infrastructures. Challenges related to multiscale and multiagent modeling processes for urban FEW systems were discussed, highlighting the need to address scaling-up, optimization processes, and risk assessment. The potential for full-scale technology integration in urban FEW systems was demonstrated in ongoing cases in Miami (the United States), Marseille (France), and Amsterdam (the Netherlands).
CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY
(2021)
Review
Environmental Sciences
Ni-Bin Chang, Uzzal Hossain, Andrea Valencia, Jiangxiao Qiu, Qipeng P. Zheng, Lixing Gu, Mengnan Che, Jia-Wei Lu, Ana Pires, Chelsea Kaandorp, Edo Abraham, Marie-Claire ten Veldhuis, Nick van de Giesen, Bruno Molle, Severine Tomas, Nassim Ait-Mouhe, Deborah Dotta, Remi Declercq, Martin Perrin, Leon Conrad, Geoffrey Molle
Summary: This paper highlights the importance of analyzing the Food-Energy-Water (FEW) nexus in cities through an integrative approach, while also identifying global trends related to FEW technology metrics. It emphasizes the need to consider cost-benefit-risk tradeoffs in optimizing FEW infrastructures, as well as the challenges in multiscale and multiagent modeling processes for urban FEW systems simulation.
CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY
(2021)
Article
Environmental Sciences
Fan Zeng, Hui Hu, Jiawei Lu, Minghan Luo, Hao Huang, Keqiang Ding
Summary: The study investigated the performance and mechanism of desulfurization of sludge-based activated carbons modified by ferric nitrate, showing significant improvements in H2S removal performance and a shift in desulfurization products to sulfate after modification.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Engineering, Environmental
Yuanqing Huang, Jia-Wei Lu, Yingshi Xie, Chengyang Hong, Lizheng Shi, Jing Hai
Summary: The emission of PCDD/Fs from incineration plants can exacerbate the NIMBY syndrome, especially if the plants fail to meet emission standards. This study focused on the formation and transformation of PCDD/Fs in boilers under steady operational conditions, with results showing that increasing air supply can worsen PCDD/Fs formation and lead to substandard emissions. Quantitative structure-activity relationship modeling was used to identify dominant factors in the formation mechanism, and the removal rates of PCDD/Fs were found to be significantly correlated with certain factors. This research provides valuable insights for optimizing operational parameters in incineration plants to prevent substandard emissions.
Article
Engineering, Environmental
Fan Zeng, Xiaofeng Liao, Jiawei Lu, Danping Pan, Qili Qiu, Keqiang Ding, Minghan Luo
Summary: The study focused on the adsorption capacity, removal of COD and organic matter of sludge-based activated carbons (SACs) prepared from sewage sludge and corn straw for treating landfill leachate. The effect of ferric nitrate modification on improving the removal efficiency of COD and organic matter was analyzed. The results showed that modified SAC had better adsorption capacity and removal efficiency compared to unmodified SAC.
WASTE MANAGEMENT & RESEARCH
(2022)
Article
Environmental Sciences
De-Chun He, Fang-Hong Li, Mian Wu, Hui-Li Luo, Li-Qing Qiu, Xiao-Rui Ma, Jia-Wei Lu, Wang-Rong Liu, Guang-Guo Ying
Summary: This study investigated the use of pesticides and the emission characteristics of volatile organic compounds (VOCs) in China. The results revealed that herbicides were the most extensively used pesticide category, and liquid formulations had higher VOC emission potentials compared to solid formulations. The total VOC emissions derived from commercial pesticides in China were 280 kilotons in 2018, with emulsifiable concentrate (EC) being the major contributor. Therefore, comprehensive measures should be taken to reduce VOC emissions from pesticide applications.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Economics
Cheng Cheng, Jia-Wei Lu, Rui Zhu, Zuopeng Xiao, Alysson M. Costa, Russell G. Thompson
Summary: This study proposes a mixed-integer programming model for post-disaster waste clean-up systems, taking into account multiple stakeholders and objectives. Numerical results confirm the conflicting nature of the objectives considered and highlight the importance of explicitly considering each goal to find the best trade-off solutions.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Proceedings Paper
Computer Science, Theory & Methods
Shuya Li, Wenbin Song, Chao Zhao, Yifeng Zhang, Weiming Shen, Jing Hai, Jiawei Lu, Yingshi Xie
Summary: The paper proposes an unsupervised multiple time series anomaly detection model based on similarity measurement and Louvain algorithm for data mining in MSW incineration process. The results demonstrate the effectiveness of the proposed method, with the best performance achieved when using Pearson correlation coefficient.
3RD INTERNATIONAL CONFERENCE ON INDUSTRY 4.0 AND SMART MANUFACTURING
(2022)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Shuya Li, Yifeng Zhang, Wenbin Song, Chunjiang Zhang, Chao Zhao, Weiming Shen, Jing Hai, Jiawei Lu, Yingshi Xie
Summary: This paper proposes a two-stage prediction method based on the LSTM network to forecast typical flue gas pollutants of an MSW incineration plant, and experiment results proved the effectiveness of the method.
PROCEEDINGS OF THE 2021 IEEE 24TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD)
(2021)
Article
Engineering, Chemical
Fan Zeng, Keqiang Ding, Jiawei Lu, Minghan Luo, Danping Pan, Qili Qiu
Summary: This study prepared several sludge-based activated carbons and found that the SAC prepared using corn stalks as the carburant and ZnCl2 as the activator showed the best adsorption efficiency, reaching a COD removal efficiency of 82.25%. Corn stalks significantly improved the adsorption performance of SACs by dominating the surface with basic functional groups. ZnCl2 was identified as the best activator, despite SAC prepared with K2CO3 achieving the largest q L, it had a slower adsorption rate and longer adsorption time compared with SACs prepared with ZnCl2 and KOH.
DESALINATION AND WATER TREATMENT
(2021)
Article
Engineering, Chemical
Fan Zeng, Xiaofeng Liao, Jiawei Lu, Danping Pan, Qili Qiu, Keqiang Ding, Wendi Zhang
DESALINATION AND WATER TREATMENT
(2020)
Proceedings Paper
Automation & Control Systems
Jia-Wei Lu, Ni-Bin Chang, Yuanqing Huang, Yingshi Xie, Jing Hai
PROCEEDINGS OF THE 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2019)
(2019)
Proceedings Paper
Automation & Control Systems
Jia-Wei Lu, Ni-Bin Chang, Feng Zhu, Jing Hai, Li Liao
2018 IEEE 15TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC)
(2018)
Article
Environmental Studies
Ni-Bin Chang, Jia-Wei Lu, Ting Fong May Chui, Nicholas Hartshorn
