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  1. Article ; Online: Message from the Editor-in-Chief

    Shi-Min Hu

    Computational Visual Media, Vol 10, Iss 1, Pp 1-

    2023  Volume 1

    Keywords Electronic computers. Computer science ; QA75.5-76.95
    Language English
    Publishing date 2023-11-01T00:00:00Z
    Publisher SpringerOpen
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Message from the Editor-in-Chief

    Shi-Min Hu

    Computational Visual Media, Vol 8, Iss 1, Pp 1-

    2021  Volume 1

    Keywords Electronic computers. Computer science ; QA75.5-76.95
    Language English
    Publishing date 2021-10-01T00:00:00Z
    Publisher SpringerOpen
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Message from the Editor-in-Chief

    Shi-Min Hu

    Computational Visual Media, Vol 7, Iss 1, Pp 1-

    2021  Volume 1

    Keywords Electronic computers. Computer science ; QA75.5-76.95
    Language English
    Publishing date 2021-03-01T00:00:00Z
    Publisher SpringerOpen
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Digital Calibration for Gain, Time Skew, and Bandwidth Mismatch in Under-Sampling Time-Interleaved System

    Min Hu / Pengxing Yi

    Applied Sciences, Vol 12, Iss 11029, p

    2022  Volume 11029

    Abstract: This paper presents an all-digital background calibration method for gain, time skew, and bandwidth mismatch in M -channel under-sampling time-interleaved analog-to-digital converters (TI-ADCs) systems. Firstly, the characteristics of offset, gain, time ... ...

    Abstract This paper presents an all-digital background calibration method for gain, time skew, and bandwidth mismatch in M -channel under-sampling time-interleaved analog-to-digital converters (TI-ADCs) systems. Firstly, the characteristics of offset, gain, time skew, and bandwidth mismatch on the TI-ADCs system are analyzed. Secondly, a parameter vector is constructed to correct gain, time skew, and bandwidth mismatch. Then, the constructed parameter vector is calculated with the bandpass fractional delay filter and least squares (LS) algorithm. Based on the bandpass fractional delay filter, the proposed technique can work for ultra-high frequency signals. Additionally, the constructed parameter vector has a smaller number of filter taps than the derivative filter or Hilbert filter. Therefore, fewer computing resources are used to correct the input signal after obtaining the proposed parameter vector. Finally, there are matrix inversions in the LS algorithm. Additionally, implementing matrix inversion within FPGA is complex. For this reason, solving a system of linear equations is used to replace matrix inversions. The LS algorithm is affected by quantization error and white Gaussian noise. The simulation results verify the effectiveness of the proposed algorithm when the SNR of sub-ADC is from 30 dB to 100 dB or the ENOB of sub-ADC is from 5-bit to 16-bit. They show that the proposed algorithm is not limited by the first sub-ADC Nyquist. Additionally, the measurement results show that the proposed method is effective in the actual time-Interleaved system.
    Keywords digital calibration ; gain ; time skew ; bandwidth mismatch ; under-sampling ; least squares ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Subject code 518
    Language English
    Publishing date 2022-10-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Research on the Evacuation Characteristics of Cruise Ship Passengers in Multi-Scenarios

    Min Hu / Wei Cai

    Applied Sciences, Vol 12, Iss 4213, p

    2022  Volume 4213

    Abstract: As a popular way of travelling on water, cruise tourism is welcomed by the public. The cruise ship, as a large water-borne city, can accommodate a large number of passengers, but simultaneously their safety should be ensured in the event of an emergency. ...

    Abstract As a popular way of travelling on water, cruise tourism is welcomed by the public. The cruise ship, as a large water-borne city, can accommodate a large number of passengers, but simultaneously their safety should be ensured in the event of an emergency. This work studied the evacuation characteristics of passengers by analyzing evacuation processes in multiple scenarios on cruise ships. Four typical evacuation scenarios were established, and the initial parameters of passengers were defined by creating a passenger agent. Simulation experiments were carried out for these scenarios, and the results show that groups of passengers need more time to complete the evacuation than individual passengers. The number of passengers arriving at the embarkation area in one time period under the group evacuation scenario is less than that under the individual evacuation scenario. However, the peak period of arrival at the embarkation area under the group evacuation scenario lasts longer than that under the individual evacuation scenario. For passengers with slower walking speeds, they may complete the evacuation in a shorter time as long as their cabins are near the embarkation deck or in the suitable main vertical zones. This proves that the evacuation efficiency of passengers is affected by their initial positions, and evacuation time can be reduced by means of the allocation of cabins according to the movement characteristics of passengers.
    Keywords cruise ships ; types of passengers ; individual evacuation ; group evacuation ; evacuation characteristics ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Subject code 380
    Language English
    Publishing date 2022-04-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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    Inter-library loan at ZB MED

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  6. Article ; Online: Message from the Editor-in-Chief

    Shi-Min Hu

    Computational Visual Media, Vol 6, Iss 1, Pp 1-

    2020  Volume 1

    Keywords Electronic computers. Computer science ; QA75.5-76.95
    Language English
    Publishing date 2020-04-01T00:00:00Z
    Publisher SpringerOpen
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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    Inter-library loan at ZB MED

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  7. Article ; Online: Comparison of ARIMA and LSTM in Predicting Structural Deformation of Tunnels during Operation Period

    Chuangfeng Duan / Min Hu / Haozuan Zhang

    Data, Vol 8, Iss 104, p

    2023  Volume 104

    Abstract: Accurately predicting the structural deformation trend of tunnels during operation is significant to improve the scientificity of tunnel safety maintenance. With the development of data science, structural deformation prediction methods based on time- ... ...

    Abstract Accurately predicting the structural deformation trend of tunnels during operation is significant to improve the scientificity of tunnel safety maintenance. With the development of data science, structural deformation prediction methods based on time-series data have attracted attention. Auto Regressive Integrated Moving Average model (ARIMA) is a classical statistical analysis model, which is suitable for processing non-stationary time-series data. Long- and Short-Term Memory (LSTM) is a special cyclic neural network that can learn long-term dependent information in time series. Both are widely used in the field of temporal prediction. In view of the lack of time-series prediction in the tunnel deformation field, the body of this paper uses historical data of the Xinjian Road and the Dalian Road tunnel in Shanghai to propose a new way of modeling based on single points and road sections. ARIMA and LSTM models are applied in comprehensive experiments, and the results show that: (1) Both LSTM and ARIMA models have great performance for settlement and convergence deformation. (2) The overall robustness of ARIMA is better than that of LSTM, and it is more adaptable to the datasets. (3) The model prediction performance is closely related to the data quality. ARIMA has more stable performance under the lack of data volume, while LSTM has better performance with high-quality data and higher upper limit.
    Keywords tunnel ; structural deformation ; ARIMA ; LSTM ; prediction ; Bibliography. Library science. Information resources ; Z
    Subject code 006 ; 330
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Multi-Site and Multi-Pollutant Air Quality Data Modeling

    Min Hu / Bin Liu / Guosheng Yin

    Sustainability, Vol 16, Iss 1, p

    2023  Volume 165

    Abstract: This study proposes a new method for predicting air quality in major industrialized cities around the world. In some big cities, multiple air quality measurement stations are deployed at different locations to monitor air pollutants, such as NO 2 , CO, ... ...

    Abstract This study proposes a new method for predicting air quality in major industrialized cities around the world. In some big cities, multiple air quality measurement stations are deployed at different locations to monitor air pollutants, such as NO 2 , CO, PM 2.5 , and PM 10 , over time. At every monitoring timestamp t , we observe one station × feature matrix <semantics> x t </semantics> of the pollutant data, which represents a spatio-temporal process. Traditional methods of prediction of air quality typically use data from one station or can only predict a single pollutant (such as PM 2.5 ) at a time, which ignores the spatial correlation among different stations. Moreover, the air pollution data are typically highly non-stationary. This study has explicitly overcome the limitations of these two aspects, forming its unique contributions. Specifically, we propose a de-trending graph convolutional LSTM (long short-term memory) to continuously predict the whole station × feature matrix in the next 1 to 48 h, which not only captures the spatial dependency among multiple stations by replacing an inner product with convolution, but also incorporates the de-trending signals (transforms a non-stationary process to a stationary one by differencing the data) into our model. Experiments on the air quality data of the city of Chengdu and multiple major cities in China demonstrate the feasibility of our method and show promising results.
    Keywords air quality ; multi-pollutant prediction ; graph convolutional neural network ; long short-term memory ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 333
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Message from the Editor-in-Chief

    Shi-Min Hu

    Computational Visual Media, Vol 5, Iss 1, Pp 1-

    2019  Volume 1

    Keywords Electronic computers. Computer science ; QA75.5-76.95
    Language English
    Publishing date 2019-04-01T00:00:00Z
    Publisher SpringerOpen
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Overestimation of black carbon light absorption due to mixing state heterogeneity

    Linghan Zeng / Tianyi Tan / Gang Zhao / Zhuofei Du / Shuya Hu / Dongjie Shang / Min Hu

    npj Climate and Atmospheric Science, Vol 7, Iss 1, Pp 1-

    2024  Volume 8

    Abstract: Abstract Black carbon (BC) aerosols, which arise from incomplete combustion processes, possess the capacity to absorb solar radiation, thereby contributing significantly to the issue of climate warming. However, accurately estimating their radiative ... ...

    Abstract Abstract Black carbon (BC) aerosols, which arise from incomplete combustion processes, possess the capacity to absorb solar radiation, thereby contributing significantly to the issue of climate warming. However, accurately estimating their radiative effect is challenging, influenced by emissions, sizing, morphology, and mixing state. BC particles undergo aging processes that can alter their physical characteristics and mixing state, consequently affecting their optical properties. In this study, we assessed the mixing state of BC across diverse atmospheric environments. Results demonstrate that mixing state heterogeneity is a ubiquitous phenomenon. In background atmospheres, BC exhibited less homogeneous states compared to those in urban and suburban areas, where heterogeneity was driven by primary emissions. Our study provides direct observational evidence that the heterogeneity of particle-particle mixing can reduce the light absorption enhancement of BC in all atmospheres, with a deviation of up to approximately 24% under background conditions.
    Keywords Environmental sciences ; GE1-350 ; Meteorology. Climatology ; QC851-999
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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