Article
Computer Science, Information Systems
Sohail Sarang, Goran M. Stojanovic, Micheal Drieberg, Stevan Stankovski, Kishore Bingi, Varun Jeoti
Summary: The dynamic nature of energy harvesting rate in EH-WSNs raises new concerns and drives the development of energy aware solutions. A prediction-based adaptive duty cycle (PADC) MAC protocol, called PADC-MAC, has been proposed to improve network performance by incorporating current and future harvested energy information. The protocol utilizes a machine learning model, NAR neural network, to achieve accurate energy intake prediction. Simulation results show significant improvements in packet delay, energy consumption, and total energy consumption compared to state-of-the-art protocols.
Article
Geochemistry & Geophysics
Liang Chen, Shouyang Gao, Bin Miao, Nan Yao, Shizhong Zhang, Wei Zhang
Summary: This study investigates the asymmetric fracture evolution of soft rock roadway roofs using crack density coefficient and numerical simulation, revealing asymmetric crack distribution, significant impact of discontinuity surface, and distinct changes in roof structural features during the evolution process.
Article
Geochemistry & Geophysics
Liang Chen, Shouyang Gao, Bin Miao, Nan Yao, Shizhong Zhang, Wei Zhang
Summary: This study reveals the asymmetric patterns of roof failure, stress evolution, and crack density changes caused by the presence of roof discontinuity surface. The research results provide important reference for the optimization and design of support schemes for discontinuity-thick soft rock roof-large span roadways.
Article
Computer Science, Hardware & Architecture
Imen Jemili, Dhouha Ghrab, Abdelfettah Belghith, Mohamed Mosbah, Saad Al-Ahmadi
Summary: It is crucial to provide an active path in a Wireless Sensor Network (WSN) to ensure timely delivery of data. The duty cycling mode poses challenges in scheduling and regulating node activity, as well as considering transmission delays. The coordination between MAC and routing protocols is necessary to make appropriate decisions for next hop selection and duty cycle adjustment.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2021)
Article
Telecommunications
Vidhyotma Gandhi, Jaiteg Singh
Summary: The research focuses on achieving better performance in Wireless Body Sensor Network to promote the traditional healthcare industry. The GADC-HAR model is proposed with improved energy efficiency, reliability, and accuracy, utilizing energy-efficient algorithms for network coding and optimizing sleep/wake timers. By examining subjects with a 360-second activity pattern and adopting a self-optimization strategy for gait cycle synchronization, the model achieves higher energy efficiency and reduced packet loss ratio.
WIRELESS PERSONAL COMMUNICATIONS
(2022)
Article
Engineering, Geological
Andrea Franza, Giulia M. B. Viggiani
Summary: This study examines the impact of tunneling on existing tunnels and pipelines using a continuum-based model and introduces a new shear factor to evaluate different deformation modes. The research found that the shear flexibility significantly affects tunneling-induced settlements and also influences tilt, curvature, and bending moment.
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
(2021)
Article
Engineering, Environmental
Marco Raugei, Mashael Kamran, Allan Hutchinson
Summary: The UK is aggressively electrifying its light duty vehicle fleet with a goal to ban the sale of new internal combustion engine cars by 2030. Research indicates that a shift towards shared mobility schemes is crucial to offset resource depletion and environmental impacts. The development of electric vehicles helps reduce carbon emissions and air pollution.
RESOURCES CONSERVATION AND RECYCLING
(2021)
Article
Engineering, Electrical & Electronic
Long Cheng, Linghe Kong, Yu Gu, Jianwei Niu, Ting Zhu, Cong Liu, Shahid Mumtaz, Tian He
Summary: In this work, a collision-free convergecast protocol named iCore is proposed for low-duty-cycle WSNs to minimize data collisions and improve channel utilization. iCore utilizes dynamic forwarding technique and optimization algorithms to reduce end-to-end latency and maintain high delivery ratio and energy efficiency in various convergecast scenarios.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Engineering, Geological
Junhong Huang, Xiaoqing Wei, Yi Luo, Hangli Gong, Tingting Liu, Xinping Li
Summary: This study investigated the deformation and failure of surrounding rock mass triggered by sudden changes of rock quality encountered in a tunnel excavation project, focusing on the geological disasters caused by fracture zones. The findings from a field case analysis of the Daliang Tunnel in China revealed the deformation profiles of the surrounding rock mass at different distances from the fracture zone. The relationship between the deformation of the surrounding rock mass in the fracture zone and the materials, length of advanced support, and excavation advance rate was also explored. The study emphasized the significance of controlling rock mass deformation in fracture zones.
ROCK MECHANICS AND ROCK ENGINEERING
(2022)
Article
Computer Science, Information Systems
Sai Krishna Mothku, Rashmi Ranjan Rout
Summary: In this paper, a fuzzy based adaptive duty cycling algorithm is proposed to achieve network sustainability in harvesting sensor actor networks. The algorithm considers current residual energy, predicted harvesting energy, and predicted residual energy parameters as fuzzy input variables to estimate duty cycle for a sensor node. Simulation results demonstrate the efficacy of the proposed mechanism in achieving network sustainability.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Construction & Building Technology
Xiaoxu Tian, Zhanping Song, Yuwei Zhang
Summary: This study analyzed the deformation characteristics of the lining and failure mode of the slope during the construction of the Xiamaixi tunnel. The effectiveness of reinforcement measures for controlling slope deformation was evaluated. It was found that a tunnel in a potential landslide area may experience extrusion deformation due to increasing external forces, rather than slipping.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2021)
Article
Engineering, Civil
Yanru Zhao, Xiangsheng Chen, Biao Hu, Liping Huang, Wanshuang Li, Jianjun Fan
Summary: This paper presents a case study in Shenzhen metro to investigate the evolution of tunnel uplift and deformation based on field observation. The study measured the deformation of the tunnel, diagram wall, and ground surface over a period of 400 days. The findings show significant tunnel uplift of 34 mm, with less convergence deformation observed in each section. The study highlights the impact of superposition unloading from adjacent upper and collinear excavation activities on tunnel uplift, as well as the importance of assessing slight twist deformation for tunnel safety evaluation.
TRANSPORTATION GEOTECHNICS
(2023)
Article
Mining & Mineral Processing
Manchao He, Qiru Sui, Mengnan Li, Zhijiao Wang, Zhigang Tao
Summary: In recent years, the mine tunneling method and the new Austrian tunneling method have been considered the main theories of tunneling approaches in China. The traditional technique faces difficulties in dealing with the large deformation problems caused by complex geological conditions in mountain soft rock tunneling. Therefore, the compensation excavation method has been proposed to address this issue by using supportive strategies to counteract the excavation effects.
INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY
(2022)
Article
Robotics
Pascal Egli, Dominique Gaschen, Simon Kerscher, Dominic Jud, Marco Hutter
Summary: Presented an excavation controller for a hydraulic excavator that can adapt to different soil characteristics using reinforcement learning, allowing for online adaptation to changing conditions.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Construction & Building Technology
Georg H. Erharter, Tom F. Hansen, Zhongqiang Liu, Thomas Marcher
Summary: This paper introduces a novel RL based framework for strategy development for conventional tunneling, where an agent learns to achieve a tunnel breakthrough goal by interacting with the environment. Result analysis shows that optimal policies have similarities to current practices, and the framework has the potential to discover new tunneling strategies.
AUTOMATION IN CONSTRUCTION
(2021)