bluuebunny/crossref_metadata_2025_split huggingface dataset:
Crucian carp position and pose recognition based on an improved photo-model method
Authors: Wen Changyi , Wang Jirong , Dai Xiangwu , Li Jun 
Published: December 2022

Abstract
This research aimed to solve the problem of fish position and pose recognition in the process of robot grasping fish. Crucian carp is the subject of this research and studies the position and pose recognition algorithm of crucian carp by photo-model-based stereo-vision. This research aims at the problem that the fitness algorithm has a poor effect in identifying photo models with more black and white information, this research proposes an improved fitness algorithm. The new fitness algorithm uses the improved HSV model and adds the Saturation and Value to the evaluation value of the original fitness algorithm. Then Real-Time Multi-step Genetic Algorithm (RM-GA) is used to verify the improvement effect of the fitness algorithm. We use the improved algorithm for experiments. The findings indicated that the peak fitness is significantly improved, with an average increase of about 95%. At the same time, the position and posture recognition error of crucian carp is reduced by more than 50%, and the real-time performance of the algorithm is improved.
Signal acquisition analyzer based on MSP432
Authors: Yue Chenyang , Xu Guoyuan , Yue Gangzheng , Sun Yanzhe , Mi Zhiyu 
Published: December 2022

Abstract
The system is based on digital signal processing technology, takes MSP432P401R single-chip microcomputer as the main controller, uses the on-board ADC to convert the input signal into a digital signal, and then carries out FFT transformation to obtain the amplitude of each harmonic component, so as to carry out spectrum analysis and calculate THD/ THDo/ Δ values for further signal processing. The system realizes the signal processing and the calculation of distortion and distortion measurement error and expands the functions of calculating the normalized amplitude of the fundamental wave and harmonic and recovering the input signal waveform. Distortion measurement error value Δ ≤3%, can process signal amplitude range 30mV~600mV, fundamental frequency range 1kHz~100kHz, and the calculation and processing time is less than 10 seconds.
Parameter Measurement Method of PD Radar Based on Non-coherent Accumulation
Authors: Wang Cong , Hu LongBiao , Fan MengQiu , Yang Qiu 
Published: December 2022

Abstract
With the improvement in the anti-reconnaissance performance of the new system radar, the signals sent by the radar are more and more difficult to be detected, which brings new challenges to electronic reconnaissance. In order to find the enemy earlier, the receiver usually needs high sensitivity to detect weak signals. Therefore, according to the characteristics of airborne PD radar pulses, a method of PD radar parameter measurement based on non-coherent accumulation is proposed, which is of great significance to improve the receiver sensitivity. In this paper, the main peaks’ solution of PD Radar spectrum after non-coherent accumulation and the method of pulse parameter measurement are introduced in detail. Finally, the effectiveness of this method is verified by simulation experiments.
An adaptive noise removal method for EEG signals
Authors: Chu Ruibo , Wang Jian , Zhang Qian , Chen Huanhuan 
Published: December 2022

Abstract
EEG signals are the response to the electrophysiological activity of brain nerve cells in the cerebral cortex, but the collected EEG signal generally contains noise. In order to effectively remove the noise and retain useful information, after research and analysis, this paper proposes an improved EEG noise-removing algorithm based on the threshold method where wavelet contraction is used. The improved adaptive threshold selection algorithm makes it possible that the threshold changes with the number of layers of decomposed signal, so it can be applied flexibly in practice. The wavelet transform is used to decompose the EEG signal into multiple layers of high- and low-frequency coefficients. Adaptive threshold processing is then applied to the wavelet coefficients in accordance with the various decomposition levels, and the scaled wavelet coefficients are then reconstituted to produce the denoised EEG signal. Using the Root Mean Square Error (RMSE) and Signal Noise Ratio (SNR) as quantitative measures of the denoising effect Through trials, the improved threshold method, hard and soft threshold method, and adaptive threshold method were contrasted. The experimental findings demonstrate that the wavelet shrinkage-based improved threshold approach has a better denoising effect than the other three threshold methods.
Main lobe interference suppression by FDA-MIMO radar based on a novel log function frequency offset
Authors: Lv Jihui , Xue Jinghong 
Published: December 2022

Abstract
Frequency diverse array (FDA), which can be combined with Multiple-input-Multiple-output (MIMO) to improve the performance of system, and the range information provided by FDA-MIMO radar provides a new idea for suppressing main lobe interference. However, the periodicity of the angle-range two-dimensional beam pattern also causes some safety hazards to the radar beamforming process. When the interference is located in the grating lobe of FDA-MIMO radar, the related algorithm of beamforming will appear serious distortion. The traditional nonlinear frequency offset method to remove the periodicity of the beam pattern will cause the problem of large main lobe width. In this paper, a new log function frequency offset is proposed, which can not only achieve the periodic removal of the FDA-MIMO radar beam pattern but also has a narrower main lobe bandwidth of 3dB compared with the traditional nonlinear frequency offset method
A high dynamic weak spread spectrum signal acquisition strategy based on the transfer model
Authors: Yang Fan , Meng Zhijun , Wang Guangming , Guo Xiye , Yan Enqi , Zhang Yufeng 
Published: December 2022

Abstract
To solve the problem of low Earth orbit (Leo) satellite constellation link spread spectrum signal acquisition in the high dynamic weak environment, this paper proposes a acquisition strategy based on transfer model. In this paper, we analyze the dynamic characteristics of link signal. An improved method of parallel code phase search acquisition based on transfer model acquisition strategy is introduced, the improvement of the proposed acquisition strategy to the traditional acquisition algorithm is illustrated through theoretical analysis. Simulation results verify the superiority of the acquisition strategy based on the transfer model for high dynamic weak signal acquisition.
Main lobe interference suppression method of Skywave OTHR based on fast-time STAP
Authors: He Tao , Sun Guangjun , Ding Shujuan 
Published: December 2022

Abstract
For the sky-wave over-the-horizon radar (OTHR), how to effectively suppress the radio frequency interference (RFI)from the main-lobe direction is a problem. To solve this problem, this paper proposes a new space-fast time adaptive processing (fast-time STAP) which merges the matched filter coefficients used for pulse compression and the time steering vector of fast-time STAP. To compare with conventional methods, the method improves the match between the space-time steering vector of fast-time STAP and the real target signal, while the RFI and the noise from RFI are effectively suppressed by the interference-plus-noise covariance matrix which is composed of raw data. At the same time, the signal-to-noise ratio is improved. Compared with the traditional method, this method can be better applied to practical engineering. The results of computer simulation and experiments with real radar data verify the effectiveness of the proposed method.
Design of Occupational Accident Prevention System for Transportation Vehicles Based on TOF
Authors: Zhu Xuebin , Wang Zhoulin , Su Jiang 
Published: December 2022

Abstract
This paper proposes a system concept to prevent work accidents caused by vehicles transporting goods within a particular space. Furthermore, the system uses image processing methods to avoid these accidents. This is meant to allow the system to calculate motion vectors for all objects in the vehicle's path, so such a design can predict possible collisions. In addition to this, additional person detection has a higher priority, enabling a two-stage warning. This way, collisions endangering people can be warned earlier than collisions with other obstacles.
Programmable logic controller memory management vulnerability analysis
Authors: Geng Yangyang , Ma Rongkuan , Wei Qiang , Wang Wenhai 
Published: December 2022

Abstract
Programmable logic controller (PLC) is omnipresent in industrial control system (ICS), which plays an imperative part in critical infrastructures. However, once a PLC is compromised by an attacker, it will create destructive effects on critical infrastructures. The memory systems in PLCs are considered significant targets for attackers to disrupt real-world physical processes. In this paper, we proposed five types of attacks on the PLC memory management mechanism. Furthermore, we evaluated the feasibility of our memory attack generation approach on six PLCs from three leading controller vendors. A total of 22 memory attack payloads are implemented with several vulnerabilities on the target PLCs.
A Robust Beamforming Suppressing Deceptive Jamming Method Based On FDA-MIMO Radar
Authors: Zhang Yimeng , Li Wenxing , Yang Bin , Zhao Yu 
Published: December 2022

Abstract
In comparison to phased array (PA) radar that just transmits a beampattern with angle-dependent, frequency diverse array (FDA) radar with adding a feature of distance dimension performs well in main-beam deceptive jamming suppression domain. However, in practical conditions, estimating an inaccuracy of the covariance matrix(CM) has a significant negative impact on algorithm performance, also as a mismatch of target SV has. Hence, a robust adaptive beamforming technique comes up in this article that selects the principal eigenvector to get accurate signal steering vectors (SV), further gets the reconstruction interference-plus-noise CM (IPNCM). According to experiments, the proposed algorithm keeps a robust and good performance under non-ideal circumstances.
Multi-target tracking algorithm based on YOLO+DeepSORT
Authors: Chen Yuntao , Wu Bin , Luo guangzhi , Chen xiaoyan , Liu junlin 
Published: December 2022

Abstract
After several years of development, the multi-target tracking algorithm has significantly transitioned from being researched to being put into practical production and life. The application field of human detection and tracking technology is closely related to our daily life. In order to solve the problems of the background complexity, the diversity of object shapes in the application of multi-target algorithms, and the mutual occlusion between multiple tracking targets and the lost target, this paper improves the DeepSORT target tracking algorithm, uses the improved YOLO network to detect pedestrians, inputs the detection frame to the Kalman filter for prediction output, and then uses the Hungarian algorithm to realize a tracking frame and detection frame of the predicted output. The experimental results show that target tracking accuracy is increased by 4.3%, the running time is the shortest, and the number of successfully tracked targets is relatively high.
SAR Autofocus Algorithm of iterative error compensation based on PGA
Authors: Hou Xiaoze , Ma Yanheng 
Published: December 2022

Abstract
This paper proposes a motion compensation algorithm based on PGA. Our algorithm first uses the PGA algorithm to estimate roughly the phase error of the SAR data, which is then exploited through several iterations to compensate for the phase error and the range migration caused by the motion error to obtain a focused SAR image. A single iteration not only improves the image quality, but also improves the motion error compensation accuracy of the PGA algorithm in the next iteration. The simulation and measured data show that the algorithm can effectively compensate the motion error with fast convergence speed, good SAR image focusing effect and high error compensation accuracy.
Time Difference of Arrival Estimation of Stationary Targets Utilizing Deep Neural Network
Authors: Xie Wupeng , Liu Guanghong , Xiang Xiaoxiao , Xing Kang , Zhang Xiaojuan 
Published: December 2022

Abstract
Time difference of arrival (TDOA) is widely used in the field of passive location because of its flexible base station deployment and simple principle. However, when solving the solution of stationary targets position, the traditional method, such as the two-stage weighted least squares (TSWLS) algorithm, is easily affected by noise, and cannot achieve good localization results in practical situations. To solve this problem, we propose a deep neural network (DNN) for TDOA estimation of stationary targets. First, a large number of simulation samples are generated according to the TDOA model. Each sample contains the time difference from each secondary base station to the main base station, the error of time difference, and the real three-dimensional (3-D) coordinates of the targets. Next, a suitable DNN architecture is designed to solve the solution of the stationary target position. The simulation results prove that the method proposed herein outperforms TSWLS for multiple base stations based on the TDOA model.
Characterization of the photo-detection efficiency temperature dependence of silicon photomultipliers from -30°C to 70°C
Authors: Schmailzl Wolfgang , Piemonte Claudio , Schelhase Stefan , Hansch Walter 
Published: December 2022

Abstract
We present photon detection efficiency (PDE) measurements of three different silicon photomultipliers (SiPM) and report the temperature coefficient of this parameter using a direct measurement method.
This study provides first results in such a wide temperature and wavelength range, from
-30°C to 70°C and from 365 nm to 900 nm respectively.
To carry out this study we developed a setup providing stable illumination of the device under test in temperature.
The PDE is evaluated using a photon-counting method and the wavelength-dependent PDE temperature coefficients of all devices are determined.
The different designs are compared and the individual contributors to the temperature dependence of the PDE are discussed.
The PDE is shown to be linearly dependent on temperature for all designs and the temperature coefficient depends on wavelength and bias voltage.
At shorter wavelengths, the temperature dependency approaches values close to zero for one design whereas all devices show increasing temperature coefficients for increasing wavelengths.
This study shows that despite the more complex designs of SiPMs, compared to silicon photodiodes, similar factors contribute to the temperature dependence of the PDE.
Operation modes of the KATRIN experiment Tritium Loop System using 83mKr
Authors: Marsteller Alexander , Böttcher Matthias , Bornschein Beate , Enomoto Sanshiro , Fengler Caroline , Lebeda Ondřej , Machatschek Moritz , Priester Florian , Ráliš Jan , Röllig Marco , Röttele Carsten , Schlösser Magnus , Michal Šefčík , Sturm Michael , Vénos Drahoslav 
Published: December 2022

Abstract
The KArlsruhe TRItium Neutrino (KATRIN) experiment aims to search for the effective electron antineutrino mass with a sensitivity of 0.2 eV (90 % C.L.).
In order to achieve this goal, KATRIN measurement phases focusing on the neutrino mass search are alternated with phases of investigations of systematic effects.
During these phases, metastable 83mKr is used as a calibration source.
The monoenergetic conversion electrons emitted accompanying the decay of 83mKr allow a direct access to the starting conditions of β-electrons produced inside the windowless gaseous tritium source (WGTS) of KATRIN.
To make use of 83mKr in the WGTS, the Tritium Loop System, which provides a stable flow of tritium to the WGTS, needs to be operated in special modes.
This paper focuses on the technical implementation of these modes and their performance with regard to the achievable 83mKr-rates, gas densities, and gas compositions inside the WGTS.
Improved bunching and longitudinal emittance control in an RFQ
Authors: Jameson Robert A. , Yee-Rendon Bruce 
Published: December 2022

Abstract
A new application of vane modulation variation in a Radio Frequency Quadrupole (RFQ) cell has been applied that significantly improves beam bunching and longitudinal emittance control to achieve lower longitudinal rms emittance at the RFQ output. This procedure occurs in the individual cells, is independent of the overall design, and therefore is general, affording an extra parameter for beam manipulation. It can be applied besides the usual goals of vane modulation variation, e.g., to achieve higher acceleration efficiency. Examples of the cumulative effects on the overall design are provided to point out further exploration avenues for the designer.
Non-intrusive inspection of cargo containers using the C-BORD Rapidly Relocatable Tagged Neutron Inspection System
Authors: Pino F. , Fontana C.L. , Nebbia G. , Carasco C. , Pérot B. , Sardet A. , Poli J.P. , Sebert A.G. , Sannié G. , Iovene A. , Tintori C. , Sibczynski P. , Grodzicki K. , Swiderski L. , Slegt M. , de Goede R. , Moretto S. 
Published: December 2022

Abstract
The European H2020 project, entitled “effective Container inspection at BORDer control points” (C-BORD), aims to develop a framework of Non-Intrusive Inspection (NII) technologies,
for containers and large-volume freight at the EU borders. In this article the first results of the
field trials of the Rapidly Relocatable Tagged Neutron Inspection System (RRTNIS) are reported.
The tests were carried out at the customs administration of the Netherlands' (DCA) facility in the
seaport of Rotterdam, the Netherlands. For the tests mock-up cargo containers were prepared. The containers were analyzed using the whole set of NII subsystems of the C-BORD framework. Each container underwent a session of subsequent scans with all the subsystems, in order to realistically
reproduce the normal flow of inspections at the customs facility. The RRTNIS was tested under these realistic conditions, as well. The system was able to separate and identify the target materials, in mock-up containers, and improve the state-of-the-art in terms of the detected quantities.
Subseasonal swing of cold and warm extremes between Eurasia and North America in winter of 2020/21: initiation and physical process
Authors: Ma Shuangmei , Zhu Congwen 
Published: December 2022

Abstract
Eurasia and North America experienced a robust subseasonal swing of surface air temperature (SAT) extremes in 2020/21 winter, featuring severe cold (warm) extremes over Eurasia before (after) 15 January and conversely over North America. This sharp subseasonal swing of intercontinental cold and warm extremes exerted considerable severe impacts on human activities and the global economy. Here we examined the initiation and physical process based on data analyses. Our results show annual cycle (AC) anomalies of SAT caused this subseasonal alternating of temperature extremes in two regions. The AC anomalies of SAT are regulated by the phase transition of the North-Pacific-Oscillation-like (NPO-like) circumglobal Rossby wave (CRW) train. Unprecedented warming sea surface temperature over midlatitude Northwest Atlantic in early winter initiated a positive phase of the NPO-like CRW train, via eddy-mediated physical processes and the resultant feedback of sea ice loss over the Barents-Kara Seas. While, the subsequent downward feedback of stratospheric processes resulted in the negative phase of the NPO-like CRW pattern in late winter. This work advances the understanding of the subseasonal predictability of SAT extremes from impacts of AC anomalies and intercontinental seesawing.
On higher-dimensional superintegrable systems: a new family of classical and quantum Hamiltonian models
Authors: Rodríguez Miguel A , Tempesta Piergiulio 
Published: December 2022

Abstract
We introduce a family of n-dimensional Hamiltonian systems which, contain, as special reductions, several superintegrable systems as the Tremblay–Turbiner–Winternitz system, a generalized Kepler potential and the anisotropic harmonic oscillator with Rosochatius terms. We conjecture that there exist special values in the space of parameters, apart from those leading to known cases, for which this new Hamiltonian family is superintegrable.
Tensile Strength and Water Absorption of Oil Palm Mesocarp Fiber Reinforced Polyester Composites: Effect of Volume Fraction of Fiber
Authors: Bakri Bakri , Naharuddin  , Mustafa  , Seleng Kristian , Chandrabakty Sri , Iqbal Muhammad , Asmara Anjar , Hasan Ardiansyah , Safitri Azizah Ayu 
Published: December 2022

Abstract
Oil palm fiber has been developed for application of composite reinforcement. This fiber can be produced from the fruit of oil palm like mesocarp and empty fruit bunch fibers. In this paper, the oil palm mesocarp fiber used as reinforcement of composite was focused on the variation of volume fraction of fiber in the composite related to tensile strength and water absorption properties. The variation of volume fraction of fiber includes 10%, 20%, 30% and 40%. The unsaturated polyester was used as a matrix. Prior to the use of fiber, it was immersed in sodium bicarbonate (NaHCO3) with 12wt % during 120 hours. Composite fabrication method is hand lay-up with compression molding. The composite samples were tested by the tensile and water absorption tests. Then, the fracture of tensile test was analyzed by scanning electronic microscopy (SEM). The result shows that the tensile strength of composite increases with increase in the volume fraction. Meanwhile, the percentage of water absorption decreases with rise in the volume fraction.
Recovery and Improvement of Cocoa Production With the Use of Nutrients from Chitosan-Tonnage Blending Ash
Authors: Suherman  , Sabang Sri Mulyani , Rahmawati Sitti , Supriadi  
Published: December 2022

Abstract
Cocoa is one of the plantation crops that provide a high economic contribution to Central Sulawesi Province in particular and Indonesia in general and be the main income for local farmers. Cocoa is a non-oil and gas export commodity with high demand, therefore the government has determined cocoa as a strategic commodity that needs to be increased in productivity and developed as a source of income for Indonesia and State of Sulawesi. The purpose of this study was to make chitosan-tonnage blending in the composition of 80%-90% and to characterize it and its optimal ratio to restore soil nutrients, so the plants can be resistant to pests and Vascular Streak Dieback (VSD). Furthermore, cocoa fruit were powdered to become as raw material for bispic products. Chitosan come from chitin, with shrimp as raw material, tonnage was cocoa pods which have been hit by black fruit borers. Cocoa plants come from a less productive farmer area of 1 Ha, located in Rantekala Village, Gumbasa District, SigiBiromaru Regency. The results of this study revealed that of the cocoa fruit diameter which is given nutrient elements from chitosan-blending ashesat fruit age ± 6 weeks was 23 cm, compared with the cocoa fruit diameter that only given ZA / NPK fertilizer was 14.5 cm at the age of 7 weeks. The length of the cocoa fruit that was given nutrient elements from chitosan-blending ash blending at ± 6 weeks fruit age was 28 cm, while the cocoa fruit that was given ZA fertilizer only was 21 cm in length at 7 weeks. The production of cocoa beans which were given nutrient elements with chitosan-tonnage blending ashes increased by 60% compared to those that were only given ZA fertilizer. The conclusion from this study was the nutrients from chitosan-tonnage blending ash could be increase the size of the cocoa fruit around 37% for diameters and 27% for lengths greater than those given with ZA fertilizer.