Article
Computer Science, Information Systems
Yifei Zou, Minghui Xu, Jiguo Yu, Feng Zhao, Xiuzhen Cheng
Summary: With the wide deployment of IoT, blockchain systems are crucial for establishing trusted computing environments without relying on centralized servers. This article proposes a distributed and randomized consensus algorithm based on a realistic SINR model to reach k-times consensus among n devices in wireless networks. The algorithm achieves a time complexity of O(k + log n) and has been rigorously analyzed and validated through extensive simulations. The work facilitates the implementation of blockchains in wireless scenarios without reliable and fast transmissions.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Laksh Bhatia, Po-Yu Chen, Michael Breza, Cong Zhao, Julie A. McCann
Summary: LoRaWAN deployments suffer from communication interference due to network overlap and inability to schedule transmissions. We propose IRONWAN, a wireless overlay network that addresses this issue by utilizing two novel algorithms. IRONWAN improves packet delivery ratio, increases message reception per node, saves node energy, and reduces communication costs compared to other protocols.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Automation & Control Systems
Abdollah Jabbari, Jamshid Bagherzadeh Mohasefi
Summary: This article introduces a secure user authenticated key establishment scheme for LoRaWAN networks and proves its security and efficiency by formal proof and validation tools.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Information Systems
Ala Gouissem, Khalid Abualsaud, Elias Yaacoub, Tamer Khattab, Mohsen Guizani
Summary: This article proposes an anti-jamming power allocation strategy for health monitoring IoT networks using game theory and artificial neural networks. It also introduces novel data population and balancing techniques to enhance the efficiency of the strategy in combating jamming attacks. Furthermore, time and spatial diversities are exploited to enhance network security.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Multidisciplinary
Raed Alhamad, Hatem Boujemaa
Summary: This paper investigates the performance of wireless communications with wind energy harvesting, considering single-user and multi-user scenarios using Non Orthogonal Multiple Access (NOMA) and Orthogonal Multiple Access (OMA). The statistical behavior of Signal-to-Interference-plus-Noise Ratio (SINR) is derived when wind energy is utilized for energy harvesting.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Jia Ye, Shuping Dang, Basem Shihada, Mohamed-Slim Alouini
Summary: The co-channel interference in the THz band can have a significant impact on signal detection and network reliability, requiring appropriate spatial arrangement and coordination to avoid it.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Telecommunications
Hafsa Rafiqi, Garima Mahendru, Sindhu Hak Gupta
Summary: The internet of things (IoT) has transformed the physical world into an advanced system of interconnected devices. Cognitive radio technology is seen as a solution to the spectrum crunch problem faced by IoT devices. This paper explores the use of spectrum sensing in the LoRaWAN network to improve spectrum utilization. The study analyzes the impact of sensing time, distance, and signal-to-noise ratio on detection probability for different LoRa bands and confirms the effectiveness of multiple relays in improving performance.
WIRELESS PERSONAL COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Hongpeng Zhu, Cong Li, Jian Cheng, Jing Hu, Guangxia Li
Summary: This article investigates the onboard precoding problem in a multiuser satellite MIMO downlink system. It compares the performance of zero-forcing (ZF) and regularized ZF (RZF) precoding schemes, and proposes a Semidefinite Programming Beamforming (SDPBF) approach to jointly optimize precoding and power allocation matrices. The research findings show that RZF outperforms ZF and unequal power factor scheme is superior to equal power factor scheme. SDPBF achieves the best performance. Additionally, activating more beams can further reduce the transmit power.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Physics, Multidisciplinary
Fengming Xin, Jing Li, Yan Wang, Mingfeng Zhang
Summary: This paper studies the method of radar transmitted waveform design in the presence of clutter. It introduces a single-robust method and a novel double-robust method to deal with the imprecise target or clutter spectrum. The optimization models for the double-robust waveform are established and solved using the Lagrange multiplier method. Simulation results show that the double-robust transmitted waveform can maximize SINR and MI in the worst case.
Article
Computer Science, Information Systems
Arshad Farhad, Dae-Ho Kim, Jae-Young Pyun
Summary: LoRaWAN's adaptive data rate (ADR) plays an important role in resource management for static devices. To address the issue of frequent channel attenuation in mobile applications, blind ADR (BADR) is introduced. This study investigates the application of ADR and BADR in mobility environments and proposes a novel ADR retransmission-assisted resource management (R-ARM) system, which significantly improves the network performance of LoRaWAN.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Shikhar Verma, Yuichi Kawamoto, Nei Kato
Summary: The Internet of Things presents security concerns due to weak protocols and limited resources, necessitating vulnerability and risk assessments. The Internet-wide port scan (IWPS) technique is used for discovering IoT devices, but its performance is affected by WLAN conditions. A novel approach to identifying WLAN states using round-trip time and probe-packet responses was proposed and validated through experiments, achieving an accuracy of over 90%.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Hassan Jradi, Fabienne Nouvel, Abed Ellatif Samhat, Jean-Christophe Prevotet, Mohamad Mroue
Summary: The Internet of Things (IoT) has emerged as a significant communication technology, especially with the advent of 5G. Low power wide area network (LPWAN), particularly LoRaWAN, has gained attention as an ideal infrastructure for massive Machine-Type Communications (mMTCs). This article reviews existing attempts at integrating LoRaWAN into the 5G system (5GS), presents a solution with new authentication methods, and evaluates its performance and security.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Ridho Hendra Yoga Perdana, Toan-Van Nguyen, Beongku An
Summary: In this paper, a deep learning approach is proposed to solve power allocation problems in massive MIMO networks. Signal-to-interference-plus-noise ratio (SINR) and signal-to-leak-plus-noise ratio (SLNR) criteria are used for linear precoder design, defining the max-min and max-prod power allocation challenges. A deep neural network (DNN) framework is developed, utilizing the user's equipment position to train the deep model and forecast the ideal power distribution based on the user's location. Compared to traditional optimization approaches, the DNN design provides an optimal solution to the power allocation problem within a short time via quick inference.
Article
Computer Science, Information Systems
Syed Usama Minhaj, Aamir Mahmood, Sarder Fakhrul Abedin, Syed Ali Hassan, Muhammad Talha Bhatti, Syed Haider Ali, Mikael Gidlund
Summary: With the increasing popularity of IoT devices, current LPWAN technologies will face performance degradation due to congestion and interference. Rule-based approaches are insufficient for dynamic massive IoT scenarios, while new solutions involving ML and RL techniques have shown to be effective in resource allocation in dense IoT networks. In this article, we propose a new concept of using two independent learning approaches for allocating SF and transmission power, resulting in significant improvements in network level goodput and energy consumption.
Article
Engineering, Electrical & Electronic
Zhihui Li, Junpeng Shi, Weijian Liu, Jifei Pan, Binbin Li
Summary: This paper addresses the joint design problem of transmit waveform and receive filter for robust detection of ground moving target in multiple-input multiple-output Space time adaptive processing (MIMO-STAP) radar. An efficient iterative algorithm is developed to improve the averaged signal-to-interference-plus-noise ratio (SINR). The proposed algorithm achieves higher SINR with reduced computational load compared to recent methods.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Engineering, Chemical
Kian Siang Lim, Benu Adhikari, Jie Xiao, Xiao Dong Chen, Cordelia Selomulya, Meng Wai Woo
Summary: This study modified a theoretical framework based on reference-component centered coordinates to enable the prediction of simultaneous absorption and evaporation of droplets consisting of two volatiles. Experimental validation showed that the model reasonably predicted the mass profiles for droplet evaporation but over-predicted in the case of simultaneous absorption and evaporation of droplet.
Article
Environmental Sciences
Xiaohong Chen, Wenyang Deng, Luwei Miao, Ming Gao, Tianqi Ao, Wenqing Chen, Tetsuro Ueyama, Qizhou Dai
Summary: In this study, carbon electrode materials were modified to improve sulfate selectivity in capacitive deionization (CDI), resulting in increased adsorption capacity. The surface of the modified carbon material also displayed improved electrochemical properties and better capacitance. These findings suggest the potential for selective sulfate adsorption in practical applications.
ENVIRONMENTAL TECHNOLOGY
(2023)
Article
Engineering, Civil
Xiaohong Chen, Tianhao Li, Quan Yuan
Summary: This paper examines the travel behaviors and preferences of Generation Z using the latest data. The results indicate that Generation Z tends to choose environmentally friendly mode of transportation in response to changes in the built environment, showing their potential to support sustainable transportation.
Article
Chemistry, Physical
Jidong Chu, Zhijin Ge, Jiahui Peng, Hui Hu, Shujuan Guo, Xiaohui Chen
Summary: The study proposes a novel method, refluxing and implanting titanium, for synthesizing high catalytic performance MWW zeolite. By conducting titanium implantation under mild conditions, the preparation time is reduced. This method also explains the formation mechanism of the zeolite structure through density functional theory and achieves larger pore structure and improved catalytic performance through modified treatment.
Article
Cell Biology
Daji Guo, Xiaoman Yang, Ming Gao, Xiaoqing Chen, Yanping Tang, Lingling Shen, Keshen Li, Lei Shi
Summary: This study found that ASD-like behaviors persist into late-middle age in Dock4 KO mice, with specific alterations in spatial memory and hippocampal anatomy by age.
CELLULAR AND MOLECULAR NEUROBIOLOGY
(2023)
Article
Oncology
Shuwen Zhang, Jingjing Chen, Rui Zhang, Liqin Xu, Yan Wang, Zaixin Yuan, Xiaohui Hou, Jian Feng
Summary: PNETs are a group of highly heterogeneous tumors with different clinical manifestations, pathological features, and prognoses. Knowing clinicopathological characteristics and immunophenotypes of PNETs is significant for diagnosis.
JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
(2023)
Review
Metallurgy & Metallurgical Engineering
Changyong Chen, Lu Wang, Meng Sun, Xiaoqing Chen, Yang Li, Zhouhua Jiang
Summary: This paper reviews the technical progress in the control of inclusions and central segregation in tyre cord steel wires and saw wire steel in the last 20 years and formulates the unresolved issues that should be studied in the next 10 years.
IRONMAKING & STEELMAKING
(2023)
Article
Cell Biology
Li Wang, Zhiwen Song, Hongjun Zou, Haining Chen, Yong Hu, Xiangnan Li, Jinbo Liu
Summary: The present study investigates the role of circRNA3616 in neuronal inflammation and apoptosis in spinal cord injury (SCI). The findings suggest that silencing of circRNA3616 can attenuate inflammation and apoptosis in SCI by inhibiting TLR4/NF-kappa B activity via sponging miR-137.
MOLECULAR AND CELLULAR BIOCHEMISTRY
(2023)
Article
Dentistry, Oral Surgery & Medicine
Hoda S. Ismail, Parveez Ahamed Abdul Azees, Hanzhou Wang, Ashraf I. Ali, Rabab El Mehesen, Salah H. Mahmoud, Xiao-Dong Chen, Chih-Ko Yeh, Franklin Garcia-Godoy
Summary: This study compared the adhesion of periodontopathic bacteria to four restorative materials used for deep margin elevation. The findings showed that the tested flowable bulk fill exhibited better performance in terms of periodontopathic bacterial adhesion.
EUROPEAN JOURNAL OF ORAL SCIENCES
(2023)
Article
Food Science & Technology
Xiaohong Yu, Bingye Gong, Mengyue Li, Wei Li, Xiaodong Chen
Summary: Wheat bran extracts (WBE), consisting primarily of feruloyl oligosaccharides (FOs), have been approved by the FDA for use in microcapsules made with octenyl succinate anhydride-modified starch (OSA-starch) as a protective wall material for beta-carotene (BC) against oxidation. The retention and antioxidant properties of the microcapsules were studied in vivo and in vitro, and it was found that these characteristics were dependent on the amount of WBE in the wall material. In mouse serum and liver, the in vivo antioxidant properties were regulated positively at a dosage similar to that found in wheat grain, but became imbalanced at higher dosages. These findings demonstrate that WBE is a beneficial component for improving the antioxidant environment during storage and consumption, providing a theoretical basis for its industrial application in microcapsules.
INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY
(2023)
Article
Surgery
Yao Liu, Nan Xia, Yuhe Duan, Xiongwei Wu, Chunyang Zhao, Chen Jin, Xue Chen, Qiang Gao, Yingming Wang, Feifei Wang, Fengjiao Wang, Yongjian Chen, Qian Dong, Xiwei Hao
Summary: This study investigated the clinical application of Computer-assisted Surgery system (CAS) in pediatric mediastinal tumor resection. The results showed that the CAS-assisted group had shorter operative duration, less intraoperative blood loss, shorter postoperative drain indwelling time, and shorter duration of hospitalization compared to the control group. However, there was no significant difference in the rate of blood transfusion and the incidence of postoperative complications between the two groups.
INTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY
(2023)
Article
Plant Sciences
Yongliang Hu, Yuqin Chen, Xiaoxia Su, Jiawei Huang, Hongxing Yin, Jie Zhang, Zhongkai Zhang, Yong Ding, Kuanyu Zheng
Summary: The present study characterized two potyviruses, wild tomato mosaic virus Dehong isolate (WTMV-Dh) and chilli veinal mottle virus Dehong isolate (ChiVMV-Dh), and assessed their mix-infection on chilli pepper. The complete genome sequences of both viruses were obtained using transcriptome next-generation sequencing technology and RT-PCR. Phylogenetic analysis revealed the relationship between these Dehong isolates and previously reported isolates of the same viruses. Mix-inoculation of these two viruses resulted in more severe symptoms compared to single-infection.
JOURNAL OF PHYTOPATHOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Xiaoqing Chen, Yu Zhang, Ruijuan Tian, Xianghu Wu, Zhengdong Luo, Yan Liu, Xinran Wang, Jianlin Zhao, Xuetao Gan
Summary: A quadratically nonlinear photodetector (QNPD) composed of a van der Waals (vdW) stacked GaSe/InSe heterostructure is reported in this study. The QNPD exhibits unique electronic and optical attributes and extends the photodetection wavelength range from 900 to 1750 nm due to the extra second-harmonic generation (SHG) process in GaSe/InSe. It is highly sensitive to the variation of optical intensity and can be used as an autocorrelator for measuring ultrafast pulse widths and an optoelectronic mixer for signal processing.
Article
Management
Liang Wang, Zi-Xin Zhang, Alessio Ishizaka, Ying-Ming Wang, Luis Martinez
Summary: Many MCDS methods have been developed and applied to solve real-world problems. However, existing studies have neglected the psychological behavior of decision makers during the sorting process. This research proposes a new sorting method that considers psychological behavior and verifies its importance through country risk classification.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2023)
Article
Computer Science, Artificial Intelligence
Liuqing Yang, Shoudong Wang, Xiaohong Chen, Wei Chen, Omar M. Saad, Xu Zhou, Nam Pham, Zhicheng Geng, Sergey Fomel, Yangkang Chen
Summary: This article proposes a deep learning model combining convolutional and recurrent networks for predicting reservoir permeability and porosity. By training a combination of nonlinear and linear modules, the mapping between logging data and reservoir parameters is established. Optimization algorithms and a self-attention mechanism are used to improve prediction accuracy. Testing on blind wells from different regions demonstrates the accuracy and robustness of the proposed method.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
