Position, velocity, and timing（PVT） signals from the Global Positioning System（GPS）are used throughout the world but the availability and reliability of these signals in all environments has become a subject of co...Position, velocity, and timing（PVT） signals from the Global Positioning System（GPS）are used throughout the world but the availability and reliability of these signals in all environments has become a subject of concern for both civilian and military applications. This presentation summarizes recent advances in navigation sensor technology, including GPS, inertial, and other navigation aids that address these concerns. Also addressed are developments in sensor integration technology with several examples described, including the Bluefin-21 system mechanization.展开更多
The COVID-19 pandemic has shown that there is a lack of healthcare facilities to cope with a pandemic.This has also underscored the immediate need to rapidly develop hospitals capable of dealing with infectious patien...The COVID-19 pandemic has shown that there is a lack of healthcare facilities to cope with a pandemic.This has also underscored the immediate need to rapidly develop hospitals capable of dealing with infectious patients and to rapidly change in supply lines to manufacture the prescription goods(including medicines)that is needed to prevent infection and treatment for infected patients.The COVID-19 has shown the utility of intelligent autonomous robots that assist human efforts to combat a pandemic.The artificial intelligence based on neural networks and deep learning can help to fight COVID-19 in many ways,particularly in the control of autonomous medic robots.Health officials aim to curb the spread of COVID-19 among medical,nursing staff and patients by using intelligent robots.We propose an advanced controller for a service robot to be used in hospitals.This type of robot is deployed to deliver food and dispense medications to individual patients.An autonomous line-follower robot that can sense and follow a line drawn on the floor and drive through the rooms of patients with control of its direction.These criteria were met by using two controllers simultaneously:a deep neural network controller to predict the trajectory of movement and a proportional-integral-derivative(PID)controller for automatic steering and speed control.展开更多
Wind and waves are key components of the climate system as they drive air-sea interactions and influence weather systems and atmospheric circulation. In marine environments, understanding surface wind and wave fields ...Wind and waves are key components of the climate system as they drive air-sea interactions and influence weather systems and atmospheric circulation. In marine environments, understanding surface wind and wave fields and their evolution over time is important for conducting safe and efficient human activities, such as navigation and engineering. This study considers long-term trends in the sea surface wind speed(WS) and significant wave height(SWH) in the China Seas over the period 1988–2011 using the Cross-Calibrated Multi-Platform(CCMP) ocean surface wind product and a 24-year hindcast wave dataset obtained from the WAVEWATCH-III(WW3) wave model forced with CCMP winds. The long-term trends in WS and SWH in the China Seas are analyzed over the past 24 years to provide a reference point from which to assess future climate change and offshore wind and wave energy resource development in the region. Results demonstrate that over the period 1988–2011 in the China Seas: 1) WS and SWH showed a significant increasing trend of 3.38 cm s^(-1)yr^(-1) and 1.52 cm yr^(-1), respectively; 2) there were notable regional differences in the long-term trends of WS and SWH; 3) areas with strong increasing trends were located mainly in the middle of the Tsushima Strait, the northern and southern areas of the Taiwan Strait, and in nearshore regions of the northern South China Sea; and 4) the long-term trend in WS was closely associated with El Ni?o and a significant increase in the occurrence of gale force winds in the region.展开更多
The world is facing great challenges regarding the energy crisis and environmental pollution.One of the main challenges is the increasing number of ships with a lot of different types and sizes.In this research,it is ...The world is facing great challenges regarding the energy crisis and environmental pollution.One of the main challenges is the increasing number of ships with a lot of different types and sizes.In this research,it is essential to analyze the operational energy efficiency of sea-going ships since the previous studies have concentrated on the inland river ships.This working is carried out by analyzing of the energy efficiency operation for large size ships such as bulk carriers,container ships,etc.based on the resistance characteristics of different navigation environment factors.A numerical model of main engine energy efficiency operation was considered using the energy efficiency measure of IMO(International Maritime Organization),in particular using the Energy Efficiency Operational Indicator(EEOI)as a monitoring tool in this research.This EEOI numerical model was established and simulated through Simulink/Matlab and verified by the collected data from a certain vessel in Vietnam.The EEOI model was simulated under the different navigation environment conditions including various engine speed,wind speed,wave height,and water speed.After that,the simulation results of this research will be compared with experimental database of a certain bulk carrier namely M/V NSU JUSTICE 250,000 DWT.The results indicated that it is important to consider the main engine speed appropriately in ship operation in order to save energy onboard and reduce the greenhouse gas emission problem.展开更多
Biomedical micro/nanorobots(MNRs)have emerged as a cutting-edge research field,offering novel strategies for precise in vivo manipulation and targeted therapeutic delivery.By harnessing external energy sources,such as...Biomedical micro/nanorobots(MNRs)have emerged as a cutting-edge research field,offering novel strategies for precise in vivo manipulation and targeted therapeutic delivery.By harnessing external energy sources,such as chemical fuels,magnetic fields,light,acoustic waves,and biohybrid designs,these miniature intelligent systems achieve efficient autonomous navigation through complex biological environments while overcoming the physical limitations of conventional medical technologies.Current research focuses on material innovation,motion control,biocompatibility,and functional integration.These efforts have led to advances in disease treatment,barrier penetration,diagnostic imaging,wound healing,and minimally invasive procedures.However,clinical translation remains hindered by critical hurdles such as long-term biosafety,stable energy supply,high-resolution real-time tracking,and scalable manufacturing.This review systematically summarizes recent advancements in MNR research,with a particular emphasis on material-level innovations in both artificially synthesized and naturally derived systems.It provides an in-depth analysis of their unique capabilities in overcoming biological barriers and performing precise tasks in vivo.Furthermore,the review highlights pioneering diagnostic-therapeutic integration and outlines forward-looking strategies to accelerate clinical adoption.Specifically,we contend that future progress must converge advances in smart responsive materials,multiphysics cooperative actuation,and artificial intelligence-assisted guidance systems to overcome existing limitations in microscale in vivo operation.By offering a synthesized perspective and a clear roadmap,this review aims to steer next-generation MNR research toward practical applications in personalized medicine,regenerative therapies,and intelligent theranostics,thereby fostering a paradigm shift in biomedical technology.展开更多
文摘Position, velocity, and timing（PVT） signals from the Global Positioning System（GPS）are used throughout the world but the availability and reliability of these signals in all environments has become a subject of concern for both civilian and military applications. This presentation summarizes recent advances in navigation sensor technology, including GPS, inertial, and other navigation aids that address these concerns. Also addressed are developments in sensor integration technology with several examples described, including the Bluefin-21 system mechanization.
基金the Deanship of Scientific Research at King Saud University for its funding of this research through the Research Group No.RG-1439/007.
文摘The COVID-19 pandemic has shown that there is a lack of healthcare facilities to cope with a pandemic.This has also underscored the immediate need to rapidly develop hospitals capable of dealing with infectious patients and to rapidly change in supply lines to manufacture the prescription goods(including medicines)that is needed to prevent infection and treatment for infected patients.The COVID-19 has shown the utility of intelligent autonomous robots that assist human efforts to combat a pandemic.The artificial intelligence based on neural networks and deep learning can help to fight COVID-19 in many ways,particularly in the control of autonomous medic robots.Health officials aim to curb the spread of COVID-19 among medical,nursing staff and patients by using intelligent robots.We propose an advanced controller for a service robot to be used in hospitals.This type of robot is deployed to deliver food and dispense medications to individual patients.An autonomous line-follower robot that can sense and follow a line drawn on the floor and drive through the rooms of patients with control of its direction.These criteria were met by using two controllers simultaneously:a deep neural network controller to predict the trajectory of movement and a proportional-integral-derivative(PID)controller for automatic steering and speed control.
基金the Global Change and Ocean-Atmosphere Interaction National Special Project (No. 2016-523)the open foundation of the Key Laboratory of Renewable Energy, Chinese Academy of Sciences (No. Y707k31001)+4 种基金the Junior Fellowships for CAST Advanced Innovation Think-Tank Program (No. DXB-ZKQN 2016-019)the National Key Basic Research Development Program (No. 2012CB957803)the National Natural Science Foundation of China (Nos. 41490642, 41405062, 71371148)the Fundamental Research Funds for the Central Universities (No. 3132017301)the Science found- ation of China (Xi’an) Silk Road Academy (No. 2016SY02)
文摘Wind and waves are key components of the climate system as they drive air-sea interactions and influence weather systems and atmospheric circulation. In marine environments, understanding surface wind and wave fields and their evolution over time is important for conducting safe and efficient human activities, such as navigation and engineering. This study considers long-term trends in the sea surface wind speed(WS) and significant wave height(SWH) in the China Seas over the period 1988–2011 using the Cross-Calibrated Multi-Platform(CCMP) ocean surface wind product and a 24-year hindcast wave dataset obtained from the WAVEWATCH-III(WW3) wave model forced with CCMP winds. The long-term trends in WS and SWH in the China Seas are analyzed over the past 24 years to provide a reference point from which to assess future climate change and offshore wind and wave energy resource development in the region. Results demonstrate that over the period 1988–2011 in the China Seas: 1) WS and SWH showed a significant increasing trend of 3.38 cm s^(-1)yr^(-1) and 1.52 cm yr^(-1), respectively; 2) there were notable regional differences in the long-term trends of WS and SWH; 3) areas with strong increasing trends were located mainly in the middle of the Tsushima Strait, the northern and southern areas of the Taiwan Strait, and in nearshore regions of the northern South China Sea; and 4) the long-term trend in WS was closely associated with El Ni?o and a significant increase in the occurrence of gale force winds in the region.
文摘The world is facing great challenges regarding the energy crisis and environmental pollution.One of the main challenges is the increasing number of ships with a lot of different types and sizes.In this research,it is essential to analyze the operational energy efficiency of sea-going ships since the previous studies have concentrated on the inland river ships.This working is carried out by analyzing of the energy efficiency operation for large size ships such as bulk carriers,container ships,etc.based on the resistance characteristics of different navigation environment factors.A numerical model of main engine energy efficiency operation was considered using the energy efficiency measure of IMO(International Maritime Organization),in particular using the Energy Efficiency Operational Indicator(EEOI)as a monitoring tool in this research.This EEOI numerical model was established and simulated through Simulink/Matlab and verified by the collected data from a certain vessel in Vietnam.The EEOI model was simulated under the different navigation environment conditions including various engine speed,wind speed,wave height,and water speed.After that,the simulation results of this research will be compared with experimental database of a certain bulk carrier namely M/V NSU JUSTICE 250,000 DWT.The results indicated that it is important to consider the main engine speed appropriately in ship operation in order to save energy onboard and reduce the greenhouse gas emission problem.
基金supported by the National Natural Science Foundation of China(52573295)Guangdong Basic and Applied Basic Research Foundation(2024A1515030080).
文摘Biomedical micro/nanorobots(MNRs)have emerged as a cutting-edge research field,offering novel strategies for precise in vivo manipulation and targeted therapeutic delivery.By harnessing external energy sources,such as chemical fuels,magnetic fields,light,acoustic waves,and biohybrid designs,these miniature intelligent systems achieve efficient autonomous navigation through complex biological environments while overcoming the physical limitations of conventional medical technologies.Current research focuses on material innovation,motion control,biocompatibility,and functional integration.These efforts have led to advances in disease treatment,barrier penetration,diagnostic imaging,wound healing,and minimally invasive procedures.However,clinical translation remains hindered by critical hurdles such as long-term biosafety,stable energy supply,high-resolution real-time tracking,and scalable manufacturing.This review systematically summarizes recent advancements in MNR research,with a particular emphasis on material-level innovations in both artificially synthesized and naturally derived systems.It provides an in-depth analysis of their unique capabilities in overcoming biological barriers and performing precise tasks in vivo.Furthermore,the review highlights pioneering diagnostic-therapeutic integration and outlines forward-looking strategies to accelerate clinical adoption.Specifically,we contend that future progress must converge advances in smart responsive materials,multiphysics cooperative actuation,and artificial intelligence-assisted guidance systems to overcome existing limitations in microscale in vivo operation.By offering a synthesized perspective and a clear roadmap,this review aims to steer next-generation MNR research toward practical applications in personalized medicine,regenerative therapies,and intelligent theranostics,thereby fostering a paradigm shift in biomedical technology.
