Resource Type

Journal Article 460

Year

2024 2

2023 40

2022 42

2021 55

2020 27

2019 32

2018 32

2017 33

2016 23

2015 7

2014 6

2013 4

2012 19

2011 4

2010 6

2009 9

2008 12

2007 25

2006 9

2005 11

open ︾

Keywords

Additive manufacturing 4

spacecraft 3

Accelerator 2

Biosensors 2

Controller placement 2

Fault-tolerant control 2

IHNI-1 reactor 2

IHNI－1 reactor 2

Kalman filter 2

Multiplier 2

Neural network 2

Quadrotor 2

Software-defined networking (SDN) 2

accelerometer 2

offshore wind farm 2

thermal control 2

wireless sensor network 2

1 000 MW nuclear power plant 1

10kV high voltage electric cable 1

open ︾

Search scope:

排序： Display mode:

An artificial intelligence enhanced star identification algorithm

Hao Wang, Zhi-yuan Wang, Ben-dong Wang, Zhuo-qun Yu, Zhong-he Jin, John L. Crassidis,roger@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 11,   Pages 1535-1670 doi: 10.1631/FITEE.1900590

Abstract: An artificial intelligence enhanced algorithm is proposed for s in mode. A model based on Vgg16 is used in the artificial intelligence algorithm to classify star images. The training dataset is constructed to achieve the networks’ optimal performance. Simulation results show that the proposed algorithm is highly robust to many kinds of noise, including position noise, magnitude noise, false stars, and the tracker’s angular velocity. With a deep , the identification accuracy is maintained at 96% despite noise and interruptions, which is a significant improvement to traditional pyramid and grid algorithms.

Keywords： 星敏感器；姿态失锁；星图识别；卷积神经网络    

HTML PDF Collect

Camera calibration method for an infrared horizon sensor with a large field of view Research Article

Huajian DENG, Hao WANG, Xiaoya HAN, Yang LIU, Zhonghe JIN,roger@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 1,   Pages 141-153 doi: 10.1631/FITEE.2200079

Abstract: Inadequate geometric accuracy of cameras is the main constraint to improving the precision of s with a large field of view (FOV). An enormous FOV with a blind area in the center greatly limits the accuracy and feasibility of traditional geometric calibration methods. A novel method for s is presented and validated in this paper. Three infrared targets are used as control points. The camera is mounted on a rotary table. As the table rotates, these control points will be evenly distributed in the entire FOV. Compared with traditional methods that combine a collimator and a rotary table which cannot effectively cover a large FOV and require harsh experimental equipment, this method is easier to implement at a low cost. A corresponding three-step parameter estimation algorithm is proposed to avoid precisely measuring the positions of the camera and the control points. Experiments are implemented with 10 s to verify the effectiveness of the calibration method. The results show that the proposed method is highly stable, and that the calibration accuracy is at least 30% higher than those of existing methods.

Keywords： Infrared horizon sensor     Ultra-field infrared camera     Camera calibration    

HTML PDF Collect

N

Hao Wang, Zhi-yuan Wang, Ben-dong Wang, Zhong-he Jin, John L. Crassidis,roger@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 2,   Pages 141-286 doi: 10.1631/FITEE.1900358

Abstract: s are widely used in attitude-determination and control systems of satellites. The main deficiency of static s is the requirement of a small field of view (FOV). A typical FOV for a static is about 20° to 30°, which may not be sufficient for low-Earth-orbiting s. A novel compact with an FOV of nearly 180° is developed here. The Earth sensor comprises a panoramic annular lens (PAL) and an off-the-shelf camera with an uncooled complementary-metal-oxide-semiconductor (CMOS) infrared sensor. PAL is used to augment FOV so as to obtain a complete infrared image of the Earth from low-Earth-orbit. An algorithm is developed to compensate for the distortion caused by PAL and to calculate the vector of the Earth. The new is compact with low power consumption and high precision. Simulated images and on-orbit infrared images obtained via the ZDPS-2 are used to assess the performance of the new . Experiments show that the accuracy of the Earth sensor is about 0.032°.

Keywords： Infrared Earth sensor     Micro-satellite     Attitude determination system    

HTML PDF Collect

A GIS-Based Evaluation of Environmental Sensitivity for an Urban Expressway in Shenzhen, China Article

Qian Li, Fengqing Guo, Yuntao Guan

Engineering 2018, Volume 4, Issue 2,   Pages 230-234 doi: 10.1016/j.eng.2018.03.002

Abstract:

Urban eco-environmental degradation is becoming inevitable due to the extensive urbanization, population growth, and socioeconomic development in China. One of the traffic arteries in Shenzhen is an urban expressway that is under construction and that runs across environmentally sensitive areas (ESAs). The environmental pollution from urban expressways is critical, due to the characteristics of expressways such as high runoff coefficients, considerable contaminant accumulation, and complex pollutant ingredients. ESAs are vulnerable to anthropogenic disturbances and hence should be given special attention. In order to evaluate the environmental sensitivity along this urban expressway and minimize the influences of the ongoing road construction and future operation on the surrounding ecosystem, the environmental sensitivity of the relevant area was evaluated based on the application of a geographic information system (GIS). A final ESA map was classified into four environmental sensitivity levels; this classification indicates that a large proportion of the expressway passes through areas of high sensitivity, representing 11.93 km or 52.3% of the total expressway, and more than 90% of the total expressway passes through ESAs. This study provides beneficial information for optimal layout schemes of initial rainfall runoff treatment facilities developed from low-impact development (LID) techniques in order to minimize the impact of polluted road runoff on the surrounding ecological environment.

Keywords： Environmentally sensitive areas     Urban expressway     Geographic information system     Low-impact development    

HTML PDF Collect

Electrically tunable liquid crystal coplanar waveguide stepped-impedance resonator Research Articles

Xingye Fan, Ruozhou Li, Jing Yan, Yuming Fang, Ying Yu,jing.yan@njupt.edu.cn,ying_yu_001@163.com

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 9,   Pages 1270-1276 doi: 10.1631/FITEE.2000278

Abstract: A tunable stepped-impedance resonator using is demonstrated. Two resonant frequencies at 3.367 and 7.198 GHz are realized and can be continuously tuned by external applied voltages. Continuous tunable ranges of 52 and 210 MHz have been achieved at a particularly low driving voltage of 14 V, which shows good agreement with the simulation results. The voltage-induced hysteresis phenomenon is also investigated. This device also has a low insertion loss of −2.9 and −4 dB for the two resonant frequencies and the return losses are less than −21.5 dB. This work provides a new protocol to realize a tunable frequency for communication systems.

Keywords： 可调阶梯阻抗谐振器；液晶；共面波导    

HTML PDF Collect

The effects of sensitive region over Tibetan Plateau on disastrous weather and climate and its monitoring

Xu Xiangde

Strategic Study of CAE 2009, Volume 11, Issue 10,   Pages 96-107

Abstract:

A new-generation, three-dimensional observing network on the plateau and its peripheral may not only provide a strong precursor for the development of regional disastrous weather and climate events downstream, but may also provide crucial information on cross-hemispheric energy and water cycle and global climate change. In view of the roles of the Tibetan Plateau as the upstream key region for flooding, heavy rainfall, and snowstorms in a large area of eastern China, and the most sensitive region for climate change on the global scale, a plan for setting up an observing network and application of new technology has been proposed. We have designed and constructed this new-generation observing network on the Tibetan Plateau and its peripheral regions. The development of this new observing network has gone through a path of scientific experiment engineering construction- operation application. In particular, utilizing a north-south line of observational data from GPS and AWS stations on the east fringe of the Plateau, we were able to assimilate these data into the WRF(weather research and forcaits) 3Dvar system. The ensuing predictive results indicated that the upstream observations enhanced the ability for numerical prediction of summer heavy rainfall in eastern China and winter snowstorms in south China. Verifications suggested that the observing network had a significant impact on the early warning of disastrous weather events downstream.

Keywords： Tibetan plateau     upstream key sensitive region     disastrous weather     early prediction and warning    

HTML PDF Collect

MEC-Empowered Non-Terrestrial Network for 6G Wide-Area Time-Sensitive Internet of Things Article

Chengxiao Liu, Wei Feng, Xiaoming Tao, Ning Ge

Engineering 2022, Volume 8, Issue 1,   Pages 96-107 doi: 10.1016/j.eng.2021.11.002

Abstract:

In the upcoming sixth-generation (6G) era, the demand for constructing a wide-area time-sensitive Internet of Things (IoT) continues to increase. As conventional cellular technologies are difficult to directly use for wide-area time-sensitive IoT, it is beneficial to use non-terrestrial infrastructures, including satellites and unmanned aerial vehicles (UAVs). Thus, we can build a non-terrestrial network (NTN) using a cell-free architecture. Driven by the time-sensitive requirements and uneven distribution of IoT devices, the NTN must be empowered using mobile edge computing (MEC) while providing oasisoriented on-demand coverage for devices. Nevertheless, communication and MEC systems are coupled with each other under the influence of a complex propagation environment in the MEC-empowered NTN, which makes it difficult to coordinate the resources. In this study, we propose a process-oriented framework to design communication and MEC systems in a time-division manner. In this framework, large-scale channel state information (CSI) is used to characterize the complex propagation environment at an affordable cost, where a nonconvex latency minimization problem is formulated. Subsequently, the approximated problem is provided, and it can be decomposed into sub-problems. These sub-problems are then solved iteratively. The simulation results demonstrated the superiority of the proposed process-oriented scheme over other algorithms, implied that the payload deployments of UAVs should be appropriately predesigned to improve the efficiency of using resources, and confirmed that it is advantageous to integrate NTN with MEC for wide-area time-sensitive IoT.

Keywords： Cell-free Mobile edge computing     Non-terrestrial networks     Sixth-generation     Wide-area time-sensitive IoT    

HTML PDF Collect

Joint entity–relation knowledge embedding via cost-sensitive learning Article

Sheng-kang YU, Xue-yi ZHAO, Xi LI, Zhong-fei ZHANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1867-1873 doi: 10.1631/FITEE.1601255

Abstract: As a joint-optimization problem which simultaneously fulfills two different but correlated embedding tasks (i.e., entity embedding and relation embedding), knowledge embedding problem is solved in a joint embedding scheme. In this embedding scheme, we design a joint compatibility scoring function to quantitatively evaluate the relational facts with respect to entities and relations, and further incorporate the scoring function into the maxmargin structure learning process that explicitly learns the embedding vectors of entities and relations using the context information of the knowledge base. By optimizing the joint problem, our design is capable of effectively capturing the intrinsic topological structures in the learned embedding spaces. Experimental results demonstrate the effectiveness of our embedding scheme in characterizing the semantic correlations among different relation units, and in relation prediction for knowledge inference.

Keywords： Knowledge embedding     Joint embedding     Cost-sensitive learning    

HTML PDF Collect

Analog Optical Computing for Artificial Intelligence Review

Jiamin Wu,Xing Lin,Yuchen Guo,Junwei Liu,Lu Fang,Shuming Jiao,Qionghai Dai,

Engineering 2022, Volume 10, Issue 3,   Pages 133-145 doi: 10.1016/j.eng.2021.06.021

Abstract:

The rapid development of artificial intelligence (AI) facilitates various applications from all areas but also poses great challenges in its hardware implementation in terms of speed and energy because of the explosive growth of data. Optical computing provides a distinctive perspective to address this bottleneck by harnessing the unique properties of photons including broad bandwidth, low latency, and high energy efficiency. In this review, we introduce the latest developments of optical computing for different AI models, including feedforward neural networks, reservoir computing, and spiking neural networks (SNNs). Recent progress in integrated photonic devices, combined with the rise of AI, provides a great opportunity for the renaissance of optical computing in practical applications. This effort requires multidisciplinary efforts from a broad community. This review provides an overview of the state-of-the-art accomplishments in recent years, discusses the availability of current technologies, and points out various remaining challenges in different aspects to push the frontier. We anticipate that the era of large-scale integrated photonics processors will soon arrive for practical AI applications in the form of hybrid optoelectronic frameworks.

Keywords： Artificial intelligence     Optical computing     Opto-electronic framework     Neural network     Neuromorphic computing     Reservoir computing     Photonics processor    

HTML PDF Collect

Processing and analysis of data from microwave humidity sounder onboard FY-3A satellite

He Jieying,Zhang Shengwei

Strategic Study of CAE 2013, Volume 15, Issue 10,   Pages 47-53

Abstract:

Microwave humidity sounder (MWHS) is one of payloads on the Fengyun-3A (FY-3A) satellite. This paper introduces its structure, operation status and data receiving and processing. The paper constructs an inversion model using artificial neural network (ANN) algorithm, and makes comparison with advanced microwave sounding unit advanced microwave sounding unit-B(AMSU-B). The results demonstrate that the model can be operated successfully. Using the simulated brightness temperatures from MWHS from July to December in 2008 in Beijing, the paper derives water vapor density profiles and gives analysis of root mean square. Meanwhile, the paper focuses on brightness temperature values of different scanning lines when the typhoon comes. The paper demonstrates that FY-3A satellite MWHS can retrieve the water vapor density profiles, cloud liquid water and other related information. Also, in the process of monitoring the tropical typhoon and cyclone and judging the trend of them, FY-3A satellite MWHS also plays a very important role.

Keywords： MWHS     FY-3A     ANN     water vapor density    

HTML PDF Collect

The Pressure Sensitivity of Fractures and Its Development Significance for Extra Low-permeability Sandstone Reservoirs in Ordos Basin

Zeng Lianbo,Shi Chengen,Wang Yongkang,Li Shuheng,Wan Xiaolong,Cui Panfeng

Strategic Study of CAE 2007, Volume 9, Issue 11,   Pages 35-38

Abstract:

In order to analyse the pressure sensitivity feature of high-dip fractures in the extra low-permeability sandstone reservoirs,  the contrast experiment among matrix sample,  bearing natural fracture sample and bearing artifieial fracture sample of extra low-permeability reservoirs in Ordos basin was accomplished.  The experiment results indicate quite obvious pressure sensitivity feature of fractures in the extra low-permeability reservoirs.  The matrix sample without fracture has medium pressure sensitivity and the samples with fractures have strong pressure sensitivity.  The bigger the fracture aperture and permeability,  the stronger the pressure sensitivity is.  The stronger the pressure sensitivity,  the lower the resumptive degree of fracture permeability is.  The pressure sensitivity of fractures is of great significance to the development of the extra low-permeability sandstone reservoirs.

Keywords： fracture     pressure sensitivity     extra low-permeability sandstone reservoir     Ordos basin    

HTML PDF Collect

A Development Strategy for China’s Healthcare Industry

Han Demin,Lu Jiuxing,Li Xingming and Li Jian

Strategic Study of CAE 2017, Volume 19, Issue 2,   Pages 21-28 doi: 10.15302/J-SSCAE-2017.02.004

Abstract:

In order to promote the development of China's healthcare industry, the Chinese Academy of Engineering (CAE) launched a major advisory implement the "Healthy China" strategy and project in 2015: the Research on the Development Strategy of China's Healthcare Industry project. Since the start of the project, the project team has organized 28 academicians and more than 150 experts to conduct an extensive social investigation of a total of 12 cities, including Beijing, Shanghai, Guangzhou, Shenzhen, and other first-, second-, and third-tier cities. Based on this investigation, this paper introduces the concept, implications, and development features of the domestic healthcare industry in China in order to investigate its development status. With the objective of establishing a comprehensive healthcare security system that includes full coverage and complete processes, this paper conducts an in-depth study of the positioning and development concepts of the healthcare industry and of the ideal healthcare modes for urban and rural areas. Next, in view of key problems such as health management system construction, healthcare for the aged, the combination of healthcare with medicine, health insurance, private medical institutions, and financial security for healthcare systems, this paper discusses the security measures that should be introduced in order to comply with the development strategy of China’s healthcare industry, and makes relevant suggestions.

Keywords： healthcare industry     national health     development strategy    

HTML PDF Collect

The Effect of “Star-Bombs” Undertaking on the Social Development of China

Miao Dongsheng

Strategic Study of CAE 2004, Volume 6, Issue 7,   Pages 14-20

Abstract:

This paper holds that “Star-Bombs” undertaking has influenced the social development of China in five aspects： providing a peaceful international environment for domestic construction; capturing the central height of developing new technology; protruding tremendous economic-social values; breeding a precious national spirit; winning the international standing essential for building new order of international relations.

Keywords： “Star-Bombs” undertaking     space science and technology     exploiting outer space     game in common wins    

HTML PDF Collect

A Cell Condition-Sensitive Frequency Segmentation Method Based on the Sub-Band Instantaneous Energy Spectrum of Aluminum Electrolysis Cell Voltage Article

Zhaohui Zeng, Weihua Gui, Xiaofang Chen, Yongfang Xie, Hongliang Zhang, Yubo Sun

Engineering 2021, Volume 7, Issue 9,   Pages 1282-1292 doi: 10.1016/j.eng.2020.11.012

Abstract:

Cell voltage is a widely used signal that can be measured online from an industrial aluminum electrolysis cell. A variety of parameters for the analysis and control of industrial cells are calculated using the cell voltage. In this paper, the frequency segmentation of cell voltage is used as the basis for designing filters to obtain these parameters. Based on the qualitative analysis of the cell voltage, the sub-band instantaneous energy spectrum (SIEP) is first proposed, which is then used to quantitatively represent the characteristics of the designated frequency bands of the cell voltage under various cell conditions. Ultimately, a cell condition-sensitive frequency segmentation method is given. The proposed frequency segmentation method divides the effective frequency band into the [0, 0.001] Hz band of low-frequency signals and the [0.001, 0.050] Hz band of low-frequency noise, and subdivides the low-frequency noise into the [0.001, 0.010] Hz band of metal pad abnormal rolling and the [0.01, 0.05] Hz band of sub-lowfrequency noise. Compared with the instantaneous energy spectrum based on empirical mode decomposition, the SIEP more finely represents the law of energy change with time in any designated frequency band within the effective frequency band of the cell voltage. The proposed frequency segmentation method is more sensitive to cell condition changes and can obtain more elaborate details of online cell condition information, thus providing a more reliable and accurate online basis for cell condition monitoring and control decisions.

 

Keywords： Sub-band instantaneous energy spectrum     Cell condition-sensitive frequency band     Frequency segmentation     Metal pad abnormal rolling     Aluminum electrolysis    

HTML PDF Collect

LDformer: a parallel neural network model for long-term power forecasting

田冉,李新梅,马忠彧,刘颜星,王晶霞,王楚

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9,   Pages 1287-1301 doi: 10.1631/FITEE.2200540

Abstract: Accurate long-term power forecasting is important in the decision-making operation of the power grid and power consumption management of customers to ensure the power system’s reliable power supply and the grid economy’s reliable operation. However, most time-series forecasting models do not perform well in dealing with long-time-series prediction tasks with a large amount of data. To address this challenge, we propose a parallel time-series prediction model called LDformer. First, we combine Informer with long short-term memory (LSTM) to obtain deep representation abilities in the time series. Then, we propose a parallel encoder module to improve the robustness of the model and combine convolutional layers with an attention mechanism to avoid value redundancy in the attention mechanism. Finally, we propose a probabilistic sparse (ProbSparse) self-attention mechanism combined with UniDrop to reduce the computational overhead and mitigate the risk of losing some key connections in the sequence. Experimental results on five datasets show that LDformer outperforms the state-of-the-art methods for most of the cases when handling the different long-time-series prediction tasks.

Keywords： Long-term power forecasting     Long short-term memory (LSTM)     UniDrop     Self-attention mechanism    

HTML Collect

Title Author Date Type Operation

An artificial intelligence enhanced star identification algorithm

Hao Wang, Zhi-yuan Wang, Ben-dong Wang, Zhuo-qun Yu, Zhong-he Jin, John L. Crassidis,roger@zju.edu.cn

Journal Article

Camera calibration method for an infrared horizon sensor with a large field of view

Huajian DENG, Hao WANG, Xiaoya HAN, Yang LIU, Zhonghe JIN,roger@zju.edu.cn

Journal Article

N

Hao Wang, Zhi-yuan Wang, Ben-dong Wang, Zhong-he Jin, John L. Crassidis,roger@zju.edu.cn

Journal Article

A GIS-Based Evaluation of Environmental Sensitivity for an Urban Expressway in Shenzhen, China

Qian Li, Fengqing Guo, Yuntao Guan

Journal Article

Electrically tunable liquid crystal coplanar waveguide stepped-impedance resonator

Xingye Fan, Ruozhou Li, Jing Yan, Yuming Fang, Ying Yu,jing.yan@njupt.edu.cn,ying_yu_001@163.com

Journal Article

The effects of sensitive region over Tibetan Plateau on disastrous weather and climate and its monitoring

Xu Xiangde

Journal Article

MEC-Empowered Non-Terrestrial Network for 6G Wide-Area Time-Sensitive Internet of Things

Chengxiao Liu, Wei Feng, Xiaoming Tao, Ning Ge

Journal Article

Joint entity–relation knowledge embedding via cost-sensitive learning

Sheng-kang YU, Xue-yi ZHAO, Xi LI, Zhong-fei ZHANG

Journal Article

Analog Optical Computing for Artificial Intelligence

Jiamin Wu,Xing Lin,Yuchen Guo,Junwei Liu,Lu Fang,Shuming Jiao,Qionghai Dai,

Journal Article

Processing and analysis of data from microwave humidity sounder onboard FY-3A satellite

He Jieying,Zhang Shengwei

Journal Article

The Pressure Sensitivity of Fractures and Its Development Significance for Extra Low-permeability Sandstone Reservoirs in Ordos Basin

Zeng Lianbo,Shi Chengen,Wang Yongkang,Li Shuheng,Wan Xiaolong,Cui Panfeng

Journal Article

A Development Strategy for China’s Healthcare Industry

Han Demin,Lu Jiuxing,Li Xingming and Li Jian

Journal Article

The Effect of “Star-Bombs” Undertaking on the Social Development of China

Miao Dongsheng

Journal Article

A Cell Condition-Sensitive Frequency Segmentation Method Based on the Sub-Band Instantaneous Energy Spectrum of Aluminum Electrolysis Cell Voltage

Zhaohui Zeng, Weihua Gui, Xiaofang Chen, Yongfang Xie, Hongliang Zhang, Yubo Sun

Journal Article

LDformer: a parallel neural network model for long-term power forecasting

田冉,李新梅,马忠彧,刘颜星,王晶霞,王楚

Journal Article