bluuebunny/crossref_metadata_2025 huggingface dataset:
The actus reus of the crime of aggression
Authors: Hajdin Nikola R.
Published: February 2021

To adjudicate a claim on individual criminal responsibility, the court has to establish objective and subjective links between the individual and the crime. This article studies the material (actus reus/objective) elements of the crime of aggression (conduct, consequence and circumstance) and suggests a reading that solves most of the conceptual and practical issues regarding criminal responsibility for this crime. The main contribution is an ontological distinction between the material act of use of violence and the act of aggression, which are both subsumed under the term ‘state/collective act’. The former is a consequence element and therefore is to be understood in its naturalistic meaning – a perceivable result of one’s action. The latter is a legal-evaluative notion and as such constitutes a circumstance that renders the violation of the prohibitory norm (the union of conduct and consequence) as being wrongful. This distinction is crucial for the system of attribution of criminal responsibility, as different mental (subjective) elements apply to consequences and circumstances.
Seropositivity and history of hospitalisation for dengue in relation to anthropometric indices among Colombian children and adults
Authors: Barry M. R. , Villar L. A. , Herrán O. F. , Lozano-Parra A. , Estupiñán M. I. , Herrera V. M. , Villamor E.
Published: February 2021

The role of anthropometric status on dengue is uncertain. We investigated the relations between anthropometric characteristics (height, body mass index and waist circumference (WC)) and two dengue outcomes, seropositivity and hospitalisation, in a cross-sectional study of 2038 children (aged 2–15 years) and 408 adults (aged 18–72 years) from Bucaramanga, Colombia. Anthropometric variables were standardised by age and sex in children. Seropositivity was determined through immunoglobulin G antibodies; past hospitalisation for dengue was self-reported. We modelled the prevalence of each outcome by levels of anthropometric exposures using generalised estimating equations with restricted cubic splines. In children, dengue seropositivity was 60.8%; 9.9% of seropositive children reported prior hospitalisation for dengue. WC was positively associated with seropositivity in girls (90th vs. 10th percentile adjusted prevalence ratio (APR) = 1.19; 95% confidence interval (CI) 1.03–1.36). Among adults, dengue seropositivity was 95.1%; 8.1% of seropositive adults reported past hospitalisation. Height was inversely associated with seropositivity (APR = 0.90; 95% CI 0.83–0.99) and with hospitalisation history (APR = 0.19; 95% CI 0.04–0.79). WC was inversely associated with seropositivity (APR = 0.89; 95% CI 0.81–0.98). We conclude that anthropometry correlates with a history of dengue, but could not determine causation. Prospective studies are warranted to enhance causal inference on these questions.
LINAC-based stereotactic radiosurgery/radiotherapy for brain metastases in patients with breast cancer
Authors: Gupta Ankita , Yadav Budhi Singh , Ballari Nagarjun , Das Namrata , Robert Ngangom
Published: February 2021

Background:

Brain metastases (BM) are common in patients with HER2-positive and triple-negative breast cancer. In this study we aim to report clinical outcomes with LINAC-based stereotactic radiosurgery/radiotherapy (SRS/SRT) for BM in patients of breast cancer.

Methods:

Clinical and dosimetric records of breast cancer patients treated for BM at our institute between May, 2015 and December, 2019 were retrospectively reviewed. Patients of previously treated or newly diagnosed breast cancer with at least a radiological diagnosis of BM; 1–4 in number, ≤3·5 cm in maximum dimension, with a Karnofsky Performance Score of ≥60 were taken up for treatment with SRS. SRT was generally considered if a tumour was >3·5 cm in diameter, near a critical or eloquent structure, or if the proximity of moderately sized tumours would lead to dose bridging in a single-fraction SRS plan. The median prescribed SRS dose was 15 Gy (range 7–24 Gy) and SRT dose was 27 Gy in 3 fractions.

Clinical assessment and MR imaging was done at 6 weeks post-SRS and then every 3 months thereafter. Intracranial progression-free survival (PFS) and overall survival (OS) were calculated using Kaplan–Meier method and subgroups were compared using log rank test.

Results:

Total, 40 tumours were treated in 31 patients. The median tumour diameter was 2·3 cm (range 1·0–4·6 cm). SRS and SRT were delivered in 27 and 4 patients, respectively. SRS/SRT was given as a boost to whole brain radiotherapy (WBRT) in four patients and as salvage for progression after WBRT in six patients. In general, nine patients underwent prior surgery. The median follow-up was 7·9 months (0·2–34 months). Twenty (64·5%) patients developed local recurrence, 10 (32·3%) patients developed distant intracranial relapse and 7 patients had both local and distant intracranial relapse. The estimated local control at 6 months and 1 year was 48 and 35%, respectively. Median intracranial progression free survival (PFS) was 3·73 months (range 0·2–25 months). Median intracranial PFS was 3·02 months in patients who received SRS alone or as boost after WBRT, while it was 4·27 months in those who received SRS as salvage after WBRT (p = 0·793). No difference in intracranial PFS was observed with or without prior surgery (p = 0·410). Median overall survival (OS) was 21·7 months (range 0·2–34 months) for the entire cohort. Patients who received prior WBRT had a poor OS (13·31 months) as compared to SRS alone (21·4 months; p = 0·699).

Conclusion:

In patients with BM after breast cancer SRS alone, WBRT + SRS and surgery + SRS had comparable PFS and OS.
The impact of COVID-19 on subthreshold depressive symptoms: a longitudinal study
Authors: Liao Y. H. , Fan B. F. , Zhang H. M. , Guo L. , Lee Y. , Wang W. X. , Li W. Y. , Gong M. Q. , Lui L. M. W. , Li L. J. , Lu C. Y. , McIntyre R. S.
Published: February 2021

Aims

The coronavirus disease 2019 (COVID-19) pandemic represents an unprecedented threat to mental health. Herein, we assessed the impact of COVID-19 on subthreshold depressive symptoms and identified potential mitigating factors.

Methods

Participants were from Depression Cohort in China (ChiCTR registry number 1900022145). Adults (n = 1722) with subthreshold depressive symptoms were enrolled between March and October 2019 in a 6-month, community-based interventional study that aimed to prevent clinical depression using psychoeducation. A total of 1506 participants completed the study in Shenzhen, China: 726 participants, who completed the study between March 2019 and January 2020 (i.e. before COVID-19), comprised the ‘wave 1’ group; 780 participants, who were enrolled before COVID-19 and completed the 6-month endpoint assessment during COVID-19, comprised ‘wave 2’. Symptoms of depression, anxiety and insomnia were assessed at baseline and endpoint (i.e. 6-month follow-up) using the Patient Health Questionnaire-9 (PHQ-9), Generalised Anxiety Disorder-7 (GAD-7) and Insomnia Severity Index (ISI), respectively. Measures of resilience and regular exercise were assessed at baseline. We compared the mental health outcomes between wave 1 and wave 2 groups. We additionally investigated how mental health outcomes changed across disparate stages of the COVID-19 pandemic in China, i.e. peak (7–13 February), post-peak (14–27 February), remission plateau (28 February−present).

Results

COVID-19 increased the risk for three mental outcomes: (1) depression (odds ratio [OR] = 1.30, 95% confidence interval [CI]: 1.04–1.62); (2) anxiety (OR = 1.47, 95% CI: 1.16–1.88) and (3) insomnia (OR = 1.37, 95% CI: 1.07–1.77). The highest proportion of probable depression and anxiety was observed post-peak, with 52.9% and 41.4%, respectively. Greater baseline resilience scores had a protective effect on the three main outcomes (depression: OR = 0.26, 95% CI: 0.19–0.37; anxiety: OR = 1.22, 95% CI: 0.14–0.33 and insomnia: OR = 0.18, 95% CI: 0.11–0.28). Furthermore, regular physical activity mitigated the risk for depression (OR = 0.79, 95% CI: 0.79–0.99).

Conclusions

The COVID-19 pandemic exerted a highly significant and negative impact on symptoms of depression, anxiety and insomnia. Mental health outcomes fluctuated as a function of the duration of the pandemic and were alleviated to some extent with the observed decline in community-based transmission. Augmenting resiliency and regular exercise provide an opportunity to mitigate the risk for mental health symptoms during this severe public health crisis.
Associations between population epigenetic differentiation and environmental factors in the exotic weed mile-a-minute (Mikania micrantha)
Authors: Shen Jin , Wang Zhen , Su Yingjuan , Wang Ting
Published: February 2021

Invasive species face new selective pressures and low genetic variation caused by genetic bottlenecks and founder effects when they are introduced into novel environments. Epigenetic variation may help them to cope with these problems. Mile-a-minute (Mikania micranthaKunth) is a highly invasive exotic weed that has seriously damaged biodiversity and agricultural ecosystems. We first adopted methylation-sensitive amplified polymorphism (MSAP) markers to investigate epigenetic variation of 21M. micranthapopulations in southern China, and further explored the effects of environmental factors on population epigenetic differentiation by correlating epigenetic and climate and soil data. Adaptive epiloci positively correlated with climate/soil variables were identified. Minimum temperature of the coldest month and mean temperature of the coldest quarter were considered as decisive factors for its distribution. Climate is presumed to play a relatively more important role than soil in shaping the adaptive epigenetic differentiation inM. micrantha. Under ongoing global warming, populations ofM. micranthaare predicted to expand northward. In addition, the weed also presented higher epigenetic variation compared with genetic variation. Leaf shape variation was detected related to methylation-state change at the population level.
Polar Topside TEC Enhancement Revealed by Jason‐2 Measurements
Authors: Pi Xiaoqing , Mannucci Anthony J. , Verkhoglyadova Olga
Published: February 2021

Significant polar topside total electron content (topTEC) enhancement (PTTE) above 1,336 km altitude is reported for the first time. The results are based on GPS measurements during 2008–2019 from NASA's Jason‐2 satellite with zenith‐oriented antennas. The observations show increasing topTEC toward the southern polar cap at geomagnetic latitudes poleward of 65°S, where TEC values are normally very low. A case study for the 2013 St. Patrick's Day storm indicates that the enhancement can exceed 5.5 TEC units above the dayside ambient state, corresponding to 78% increase. Comparisons with COSMIC/FORMOSAT‐3 topTEC measurements above 800 km altitude confirm that PTTE events are observed from both Jason‐2 and COSMIC on the same day. Our statistical analysis of the Jason‐2 data in the southern polar region reveals that PTTE mostly occurs on the dayside, with a seasonal preference of southern summer, and preferentially during geomagnetically disturbed days but can also occur during quiet days. PTTE during storm days shows increased occurrence, magnitude, and deviation from the mean in the cusp region compared with quiet days. Our case analysis indicates that PTTE is observed simultaneously with the effect of tongue of ionization. This suggests that the during storms, dayside F region plasma moving poleward following the antisunward plasma convection may also be part of the PTTE source, and the plasma upflow driven by the polar wind may act to cause PTTE.
Combined Lithophile‐Siderophile Isotopic Constraints on Hadean Processes Preserved in Ocean Island Basalt Sources
Authors: Peters Bradley J. , Mundl‐Petermeier Andrea , Carlson Richard W. , Walker Richard J. , Day James M. D.
Published: February 2021

Detection of Hadean isotopic signatures within modern ocean island basalts (OIB) has greatly influenced understanding of Earth's earliest history and long‐term dynamics. However, a relationship between two isotopic tools for studying early Earth processes, the short‐lived 146Sm‐142Nd and 182Hf‐182W systems, has not been established in this context. The differing chemical behavior of these two isotopic systems means that they are complementary tracers of a range of proposed early Earth events, including core formation, magma ocean processes, and late accretion. There is a negative trend between 142Nd/144Nd and 182W/184W ratios among Réunion OIB that is extended by Deccan continental flood basalts. This finding is contrary to expectations if both systems were affected by silicate differentiation during the lifetime of 182Hf. The observed isotopic compositions are attributed to interaction between magma ocean remnants and Earth's core, coupled with later assimilation of recycled Hadean mafic crust. The effects of this scenario on the long‐lived 143Nd‐176Hf isotopic systematics mirror classical models invoking mixing of recycled trace‐element enriched (sedimentary) and depleted (igneous) domains in OIB mantle sources.

If the core provides a detectible contribution to the tungsten element budget of the silicate Earth, this represents a critical component to planetary‐scale tungsten mass balance. A basic model is explored that reconciles the W abundance and isotopic composition of the bulk silicate Earth resulting from both late accretion and core‐mantle interaction. The veracity of core‐mantle interaction as proposed here would have many implications for long‐term thermochemical cycling.
The Unusual Severe Dust Storm of May 2018 Over Northern India: Genesis, Propagation, and Associated Conditions
Authors: Banerjee Priyanka , Satheesh Sreedharan Krishnakumari , Moorthy Krishnaswamy Krishna
Published: February 2021

On the evening of May 02, 2018, an unusually severe dust storm (DS) from a convective system, which developed over the Thar Desert, struck northwest India resulting in more than 100 casualties. Analysis of its genesis from surface measurements and reanalysis data indicates that this DS was “Haboob” type which are formed when strong downdrafts from a convective system reaches the surface in arid regions. Surface observations show that this DS was accompanied by a sharp drop in temperature and visibility and increase in relative humidity. Model simulation at convective‐permitting scale reveals the complex structure of dust transport in space and time. In contrast to the generally observed dust storms over the Indo‐Gangetic Plain being mostly associated with westerly wind bringing dust from Southwest Asia and Eastern Africa, this particular DS was triggered by strong easterly wind. The moisture‐laden easterly wind at the surface level colliding against the dry westerlies from the desert region along a steep front resulted in strong convection over northwest India leading to the formation of strong downdrafts. This, in turn, was largely due to the positioning of the upper level jet stream, which modulated the location and the strengths of surface lows and highs. The importance of this study is that while recent studies indicate that dust aerosol over India is on the decline partly due to reduction in westerly wind strength, the present work shows that anomalous easterlies can provide an alternate pathway to intense dust storms over the region.
Towards a Mechanistic Understanding of Precipitation Over the Far Eastern Tropical Pacific and Western Colombia, One of the Rainiest Spots on Earth
Authors: Mejía John F. , Yepes Johanna , Henao Juan J. , Poveda Germán , Zuluaga Manuel D. , Raymond David J. , Fuchs‐Stone Željka
Published: February 2021

According to Tropical Rainfall Measuring Mission (TRMM) and Global Precipitation Measurement (GPM) satellite precipitation composites, a broad maritime area over the far eastern tropical Pacific and western Colombia houses one of the rainiest spots on Earth. This study aims to present a suite of mechanistic drivers that help create such a world‐record‐breaking rainy spot. Previous research has shown that this oceanic and nearly continental precipitation maximum has a strong early morning precipitation peak and a high density of mesoscale convective systems. We examined new and unique observational evidence highlighting the role of both dynamical and thermodynamical drivers in the activation and duration of organized convection. Results showed the existence of a rather large combination of mechanisms, including: (1) dynamics of the Choco (ChocoJet) and Caribbean Low‐Level Jets along their confluence zone, including the Panama semi‐permanent low; (2) ChocoJet deceleration offshore is favored by land breeze, enhancing the nighttime and early morning low‐level convergence; (3) a wind sheared environment that conforms to the long‐lived squall line theory; (4) action of mid‐level gravity waves, which further support the strong diurnal variability; and (5) mesoscale convective vortices related to subsidence in the stratiform region and top‐heavy mass flux profiles. This study emphasizes the multiscale circulation and thermodynamics mechanisms associated with the formation of one of the rainiest spots on Earth and showcases new observations gathered during the Organization of Tropical East Pacific Convection field campaign (OTREC; August–September, 2019) that support the outlined mechanisms.
X‐Ray Amorphous Components in Sedimentary Rocks of Gale Crater, Mars: Evidence for Ancient Formation and Long‐Lived Aqueous Activity
Authors: Smith R. J. , McLennan S. M. , Achilles C. N. , Dehouck E. , Horgan B. H. N. , Mangold N. , Rampe E. B. , Salvatore M. , Siebach K. L. , Sun V.
Published: February 2021

The CheMin instrument on the Mars Science Laboratory rover Curiosity detected ubiquitous high abundances (∼15–70 wt%) of X‐ray amorphous components (AmCs) in ancient sedimentary rocks of Gale crater. Mechanisms and timing of formation for the AmCs are poorly constrained, and could include volcanic, impact, or aqueous processes. We explore trends in AmC composition and abundance, and look for systematic compositional variation between sites within Gale crater. AmC compositions were estimated indirectly based on bulk chemistry and the nature and abundance of the crystalline phases for 19 sedimentary rock samples. AmC abundances positively correlate with AmC SiO2 contents, and a mixing relationship appears to exist between SiO2‐rich and FeOT‐rich AmC endmembers. Endmember compositions are inconsistent with volcanic or impact glass alone, and so we conclude that the SiO2 and FeOT contents formed largely through aqueous processes. Cross‐cutting relationships and geologic context provide evidence that the most SiO2‐rich AmCs observed in Gale crater thus far may result from interactions with localized fluids during late diagenesis. AmCs with moderate to low SiO2 contents likely formed earlier (before or soon after sediment deposition). Thus, the AmC SiO2 and FeOT contents in Gale crater rocks represent mixtures of sedimentary materials formed over most of the sedimentary history of Gale crater, starting before the first sediments were deposited in the crater (late Noachian), and ending well after the youngest sediments were lithified (at least mid‐Hesperian). However, it remains unclear how these metastable minerals have persisted through billions of years of diagenesis in Gale crater sediments.
How interdiffusion affects the electrochemical performance of LiMn2O4 thin films on stainless steel
Authors: Rumpel Matthias , Machhaus Michael , Sastre Jordi , Ziegler Simon , Chen Xubin , Flegler Andreas , Romanyuk Yaroslav E. , Giffin Guinevere A.
Published: February 2021

Indium tin oxide significantly reduces interdiffusion processes during crystallization of thin-film cathodes on stainless steel substrate to enable higher performance.
Cation-induced conformational and self-assembly transitions in designer peptides
Authors: Maurya Govind P. , Babu Jisha , Haridas V.
Published: February 2021

Cystine-cored triazolic peptides self-assembled to spherical vesicles. The vesicular self-assembly transformed into a β-sheet arrangement, upon the addition of Cu2+ ions.
A non-premixed reactive volatilization reactor for catalytic partial oxidation of low volatility fuels at a short contact time
Authors: Lin Ying , Li Xuesong , Twigg Martyn V. , Northrop William F.
Published: February 2021

This work presents a novel non-premixed opposed-flow reactive volatilization reactor that simultaneously vaporizes and partially oxidizes low volatility liquid hydrocarbons at a short contact time (<12 ms).
Cooperative transport control by a multicopter system
Authors: Kotani Kento , Guo Zhiqin , Namerikawa Toru , Qu Zhihua
Published: February 2021

To date, multicopters have mainly been used in the entertainment and information‐gathering fields, but can potentially be used to transport payloads. Specifically, multicopters are more suited for manoeuvring tough terrains and delivering payloads to areas unaccessible by other means. The authors propose a control method to achieve cooperative transport with a plural multicopter system and address the problem of delivering a payload being suspended via cables from multicopters. In cooperative transport using a multicopter system, disturbance (weight, wind, and inertia force) may cause destabilization. A consensus algorithm is used to coordinate flight of helicopters in a formation and to ensure that the payload follows a virtual leader. Disturbances (such as wind and cable tension) are primary causes of destabilization and, in the multicopter setting, they are suppressed by an adaptive robust control, Robust Integral of Sign of the Error control. It is shown that the proposed control design can achieve not only convergence under the ideal setting but also robust operation under significant disturbances. In addition, additional control objectives such as cable tension, payload attitude, and collision avoidance can be integrated and achieved. As an auxiliary method, cable tension control, maintaining a horizontal payload attitude, and collision avoidance are considered. The usefulness of the proposed method was verified by simulations and laboratory flight testing demonstrations.
Research on bearing diagnosis technology based on wavelet transform and one-dimensional convolutional neural network
Authors: Guo Dazhi , Wang Qiang , Wu Fengyan , Li Jun , Li Mo , Jia Yan
Published: February 2021

Aiming at the fault diagnosis of rolling element bearings, propose a method for fine diagnosis of bearings based on wavelet transform and one-dimensional convolutional neural network. First use wavelet transform to decompose the experimental data; Use the resulting low-frequency signal as a one-dimensional convolutional neural network input, bearing fault identification. The experiment uses the deep groove ball bearing of Case Western Reserve University as the research object, Use this method to identify the normal and outer ring faults of the bearing. the result shows: This method can be effectively applied to the precise identification of bearings.
The use of spectroscopy methods for structural analysis of CVD diamond films, polycrystalline and single-crystal diamonds
Authors: Polushin Nikolay Ivanovich , Laptev Alexander Ivanovich , Shitareva Mariya Stanislavovna , Muratov Dmitry Sergeevich , Maslov Anatoly Lvovich , Kirichenko Alexey Nikolaevich , Perfilov Sergey Alexeevich , Martynova Tatiana Vladimirovna
Published: February 2021

For the work results correct interpretation, it is important to study initial materials that scientists have to deal with. Currently, there are a large number of different diamond substrates. Comparison of materials among themselves allows you to determine which material you are dealing with. In this work, the methods of infrared (IR) spectrometry, Raman spectroscopy and spectrophotometry are used to study four types of diamond materials: diamond polycrystalline CVD-films; natural single-crystal diamonds; synthetic polycrystalline HPHT-diamonds (such as DSPC – diamond synthetic polycrystal by GOST 9206-80); polycrystalline CVD-diamonds CDM manufactured by E6. In work it was shown that the Raman spectroscopy allows to measure the effect of heat treatment on changes in the diamond structure, even if it is such highly advanced diamond materials as natural diamonds. Heat treatment affects the perfection of diamond crystal structure by reducing stresses and the number of defects in it due to graphitization process. The IR spectrometry method is effective for determining the shape and amount of nitrogen inclusions in diamond structure. To study polycrystalline CVD-films, the spectrophotometry method turned out to be the most effective, because it made possible to determine a small number of nitrogen defects and draw conclusions about the quality of the films. The investigation of polycrystalline diamonds CDM and DSPC demonstrated that, despite their coarse-crystalline structure, diamond crystallites consist of a highly defective diamond phase; in addition, DSPC-diamonds were studied using this method in the first time.
Propeller feature extraction of UUVs study based on CEEMD combined with symmetric correlation
Authors: Li Jiangqiao , Jiang Li , Chen Hongyu , Zhang Ye , Xie Yuchao
Published: February 2021

In this paper, in view of the characteristic that UUV radiation noise is low and easily interfered by strong noise, the complementary Ensemble Empirical Mode Decomposition (CEEMD) combined with symmetric correlation processing is proposed, which can improve the extraction performance of UUV’s propeller features. First, the CEEMD decomposition combined with symmetric correlation processing was used to reduce the radiated noise of the target, then the signals after the noise reduction were demodulated and computed to obtain the DEMON spectrum, and finally features such as the rotational speed of the UUV’s propeller were extracted from the DEMON spectrum. The Sea trials signal processing results prove that the method has better noise suppression performance under low SNR conditions, and can clearly and comprehensively extract the DEMON information of the radiated noise, and then accurately extract the propeller features of the UUV. Compared to conventional demodulation techniques, this technique has a greater ability to suppress noise and does not require manual selection of the modulated frequency band.
Automatic assembly of micro-miniature parts based on coaxial alignment and ORB feature matching
Authors: Shi Mingkuan , Zhang Zhijing , Zhang Weimin , Sun Weichen , Li Yihao
Published: February 2021

Aiming at the problems of low manual assembly process efficiency and low yield of micro-miniature parts. A vision system based on ORB feature matching for fast coaxial alignment of micro-miniature parts automated assembly is proposed. The coaxial alignment module is the main hardware, the assembly part and the base part can be imaged in the industrial camera; the ORB features are extracted from the known part template image and the part image obtained by the vision imaging system, and the RANSAC algorithm is adopted to match the ORB features of the template image and the actual part image, the pose of parts is calculated by feature matching results. At the same time, the image coordinate system and the motion axis coordinate system are calibrated, and the motion control system is driven by the transformation matrix of the two coordinate systems to complete the assembly between the assembly part and the base part. The assembly experiment shows the system can complete the automated assembly of micro-miniature parts.
Establishment of calibration equipment for defibrillator analyzer and evaluation of measurement uncertainty
Authors: Wang Yunling , Zhan Zhiqiang , Yu Lei
Published: February 2021

A cardiac defibrillator is a medical electrical device used to defibrillate the heart of patients. In JJF1149-2014, defibrillator analyzers are used to measure the output energy of cardiac defibrillators, whose energy accuracy is an important parameter. This manuscript describes establishment of calibration equipment for defibrillator analyzer, including voltage divider module, sampling module and data processing module. Measurement uncertainty is evaluated for measurement results at last.
Situation awareness framework for industrial control system based on cyber kill chain
Authors: Wang Yufei , Zhang Tengbiao , Ye Qian
Published: February 2021

Information and cyber security of Industrial Control Systems (ICS) has gained considerable importance. Situation Awareness (SA) is an exciting mechanism to achieve the perception, comprehension and projection of the ICS information security status. Based on the Purdue Enterprise Reference Architecture (PERA), a situation awareness framework for ICS is presented considering the ICS cyber kill chain. The proposed framework consists of IT SA Centre, OT SA Centre, and Comprehensive SA Centre. Comprehensive SA Centre is responsible for creating and maintaining an integrated and high level of security visibility into the whole environments. The introduced framework can be used to guide the development of the situation awareness infrastructure in organization with industrial control systems.
A scheduling and control integration optimization method for regenerative braking energy utilization
Authors: Yang Shunyao , Sun Xubin
Published: February 2021

The utilization of regenerative braking energy is of great significance to the energy saving of subway. Therefore, this paper proposes an optimization method for scheduling and control integration, which not only adjusts the timetable but also optimizes the speed curves of trains. When there is a train braking, this method will try to find a train that accelerates to absorb the regenerative energy generated by the braking train. Firstly, this paper establishes the timetable energy saving optimization model, based on which the speed curves will be optimized. Furthermore, we design a scheduling optimization algorithm based on genetic algorithm, and optimizes speed curves of trains by binary search method to obtain a good solution. Finally, simulations are given using the real data of Beijing Metro Line 4 to evaluate the proposed method, and the results show that the integrated scheduling and control optimization method can reduce energy consumption by 15.18%. In the random disturbance simulations, the proposed method shows good robustness, which makes it possible to apply this method to the real subway operations.
Multi-objective optimization of solar thermal photovoltaic hybrid power generation system based on NSGA-II algorithm
Authors: Meng Liang , Zhou Wen , Li Yang , Liu Zhibin , Liu Yajing
Published: February 2021

In this paper, NSGA-Ⅱ is used to realize the dual-objective optimization and three-objective optimization of the solar-thermal photovoltaic hybrid power generation system; Compared with the optimal solution set of three-objective optimization, optimization based on technical and economic evaluation indicators belongs to the category of multi-objective optimization. It can be considered that NSGA-Ⅱ is very suitable for multi-objective optimization of solar-thermal photovoltaic hybrid power generation system and other similar multi-objective optimization problems.
A joint design method of frame synchronization code and LDPC code
Authors: Tian Runlu , Gong Kexian , Sun Peng , Wang Zhongyong , Ren Mengke
Published: February 2021

Frame synchronization word (FSW) is an important basis in signal synchronization detection. In our work, the joint design of frame synchronization words and error correcting code are proposed which through regularly distributing the frame synchronization words among the information bits to improve the decoding performance of the LDPC. Frame synchronization word should be added to the information sequence corresponding to the position with the check matrix larger column weight which can guarantee that more Frame synchronization words are received by the check node in the decoding iteration. The frame synchronization word is known to the receiver which play an important role in decoding iteration. The results of simulation show that the algorithm makes an obvious improvement in decoding performance when the signal-noise ratio (SNR) is lower than 1 dB.
Vision based wafer states detection in front opening unified pod load-port system
Authors: Zhang Qiang , Sun Xueying , Liu Mingmin
Published: February 2021

In modern integrated circuit manufacturing processes, wafers are always transported from one procedure to another. To reduce the risk of dust, Front Opening Unified Pod (FOUP) load-port system is always adopted. Misplaced wafers should be detected before transported. Traditional methods always fail to detect wafer states correctly. To improve detection accuracy, this paper proposed a vision based method. Wafer overlap and malposition detection approach based on modified YOLO-V3 algorithm was suggested. Experiment results shows superiority of the proposed approach.
Triangle mesh skeletonization using non-deterministic voxel thinning and graph spectrum segmentation
Authors: Moreno-Avendano Santiago , Mejia-Parra Daniel , Ruiz-Salguero Oscar
Published: February 2021

In the context of shape processing, the estimation of the medial axis is relevant for the simplification and re-parameterization of 3D bodies. The currently used methods are based on (1) General fields, (2) Geometric methods and (3) voxel-based thinning. They present shortcomings such as (1) overrepresentation and non-smoothness of the medial axis due to high frequency nodes and (2) biased-skeletons due to skewed thinning. To partially overcome these limitations, this article presents a non-deterministic algorithm for the estimation of the 1D skeleton of triangular B-Reps or voxel-based body representations. Our method articulates (1) a novel randomized thinning algorithm that avoids possible skewings in the final skeletonization, (2) spectral-based segmentation that eliminates short dead-end branches, and (3) a maximal excursion method for reduction of high frequencies. The test results show that the randomized order in the removal of the instantaneous skin of the solid region eliminates bias of the skeleton, thus respecting features of the initial solid. An Alpha Shape-based inversion of the skeleton encoding results in triangular boundary Representations of the original body, which present reasonable quality for fast non-minute scenes. Future work is needed to (a) tune the spectral filtering of high frequencies off the basic skeleton and (b) extend the algorithm to solid regions whose skeletons mix 1D and 2D entities.
About the design of a new bionic robot with four legs for competition
Authors: Han Congcong , Yu Ming , Pan Hengyuan , Yu Jinhao
Published: February 2021

In order to solve the stable walking and tracking of the bionic mammalian four-legged mechanical dog, the paper introduces the mechanical structure and robot control, adopts the tandem rod structure and the new vision processing algorithm, and realizes the stable movement of the robot. The recognition and processing technology of track information image is improved, so that the four-legged bionic robot moves forward accurately along the given track, and the tracking function of the four-legged bionic mechanical dog is realized.
Recovery and guidance technology of collision network based on multi-source information fusion
Authors: Li Kangyi , Wang Xinhua , Liu Zhengqing
Published: February 2021

To solve the problem of low precision of pose estimation and poor anti-jamming in the recovery process of small Shipborne UAV, a multi-sensor navigation scheme was proposed, based on vision / IMU / GPS fusion. Firstly, an integrated navigation scheme of multi-sensor fusion in collision recovery guidance was proposed. GPS is used for long-distance guidance. Vision / IMU / GPS fusion guidance is used in approach phase. GPS and visual information are fused based on extended Kalman filter to obtaion position information. IMU and visual information are fused based on least square method to obtain the optimal attitude information. According to this method, the optimal pose information is obtained to improve the guidance accuracy and the success rate of net collision recovery.The simulation results show that the guidance deviation is reduced by 30% compared with the unfused data.
Deep learning-aided high-precision data detection for massive MU-MIMO systems
Authors: Yang Sen , Li Zerun , Wei Jinhui , Xing Zuocheng
Published: February 2021

The data detector for future wireless system needs to achieve high throughput and low bit error rate (BER) with low computational complexity. In this paper, we propose a deep neural networks (DNNs) learning aided iterative detection algorithm. We first propose a convex optimization-based method for calculating the efficient detection of iterative soft output data, and then propose a method for adjusting the iteration parameters using the powerful data driven by DNNs, which achieves fast convergence and strong robustness. The results show that the proposed method can achieve the same performance as the known algorithm at a lower computation complexity cost.
An efficient wide-band signal detection and extraction method
Authors: Cheng Qian , Gong Kexian , Zhang Min , Liu Xiaoyan
Published: February 2021

Aiming at the influence of time-varying and frequency-varying of noise on the signal detection performance in the short wave wide-band channel and the large amount of computation in the channelized receiver model of the traditional low pass filter bank, a cross-channel reconfigurable multi-phase high-efficiency channelization method based on morphological processing is proposed in this paper .Firstly, The wide-band signal is coarsely filtered by the multi-phase structure of the uniform filter bank which is determined by the protection interval between signals, and then the bandwidth and position of the signal are determined by improved morphological operation and threshold decision of the power spectrum. Finally, the sub-band signals across the channel are combined to complete the approximate reconstruction of the sub-signals. Compared with the computational complexity of traditional channelized receiver model, the results show that this method has lower computational complexity. The simulation results show that the method can achieve the approximate constant false alarm rate(CFAR) under the colored noise environment, and has higher detection capability under different signal-to-noise ratios(SNR).
Research on the convergence architecture of 5G and industrial communication
Authors: Wang Zhen , Han Dantao , Gong Yanjie , Zhao Yanling
Published: February 2021

As the next generation of mobile communication technology, 5G has the characteristics of enhanced mobile broadband (eMBB), massive machine-type communication (mMTC), and ultra-reliable low latency communication (URLLC), which are critical technologies for the future development of industrie 4.0. So far, these technologies have been explored and applied in industry, however, there is still a lack of general architectures. This paper presents a 5G and industrial communication convergence architecture and elaborates on the implementation methods from the aspects of device access technology and network configuration strategies, and discusses the transparent transmission and mapping methods adopted by 5G terminal access technology as well.
Construction method of space-time code in MIMO-VLC system
Authors: Sun Chengnan
Published: February 2021

In the recent years, the design of any order of space-time block code did not appear in the previous. In this paper, we investigate the criterion that how to design the space-time block code in Multiple input multiple output(MIMO) visible light communication(VLC) system. Based on the second order space-time block code, we give the design criterion of space-time block code of arbitrary order. Then we discuss the space-time block difference between traditional MIMO system and optical system. It is found that the space-time block codes of visible light system can be modified by the traditional space-time block codes and it can also realize independent decoding at the receiving end. In addition, in the receiver, how to realize fast calculation of the estimated value of the transmitted signal and a unified independent decoding scheme is presented.
Matrix-DSP back-end support based on TVM compilation structure
Authors: Zhu Xiaolong , Deng Ping , Sun Haiyan , Li Yong
Published: February 2021

The emergence of deep learning frameworks has greatly facilitated the construction of network models, but it has not solved the problem of network models deployed in different hardware backends. TVM combines hardware-independent optimization and hardware-related optimization decoupling ideas to provide excellent solutions. By analyzing the basic structure of TVM and the basic process of neural network deployment on hardware, TVM has realized the basic support of the independently developed chip Matrix-DSP, which provides a foundation for further exploring the performance of the chip and enriching the application scenarios of the chip.
Multi-dimensional database technology based on artificial intelligence
Authors: Liu Yurong , Bai Yang , Li Xiongjun , Chen Hao
Published: February 2021

Artificial intelligence and database technology are both important fields of computer science. The research results show that more and more industries have a growing demand for artificial intelligence and database. The combination of these two technologies will certainly bring a broader prospect to computer application. This paper mainly discusses the necessity, importance and development of multi-dimensional database technology based on artificial intelligence, introduces the combination strategy of artificial intelligence and multidimensional database and the current research field, and gives the research direction.
Form design in interface of display and control system based on visual search
Authors: Wang Dayan , Qu Jue , Wang Wei , Zhu Shuai , Li Kang
Published: February 2021

To explore the design pattern and guidelines for the forms displayed on the interfaces, we studied the factors of form design from the perspective of ergonomics. These factors include orientation (horizontal, vertical), color grouping and color combination. In combination with the analysis and conclusion of the experimental data, we proposed some design guidelines for human-computer interface that has many forms, such as weapon command and control system. A visual searching program was designed to simulate the display interface. Reaction time and accuracy are recorded by orthogonal experiment. Analyses such as double factor variance analysis, simple main effect are conducted on the experimental data. The following conclusions are obtained: two-color form has a faster reaction time than single color form; reaction time of the horizontal form is shorter than the vertical form. Color combination has significant influence on accuracy, and the blue-green is suiTable for form design; color grouping has significant influence on reaction time and accuracy; the interaction of color grouping and color combination shows significant differences. When designing forms in display interface, we should choose the horizontal layout with sparse coloring density as much as possible, and the effect of color combination on the recognition efficiency should be considered.
Sentiment analysis of MOOC reviews via ALBERT-BiLSTM model
Authors: Wang Cheng , Huang Sirui , Zhou Ya
Published: February 2021

The accurate exploration of the sentiment information in comments for Massive Open Online Courses (MOOC) courses plays an important role in improving its curricular quality and promoting MOOC platform’s sustainable development. At present, most of the sentiment analyses of comments for MOOC courses are actually studies in the extensive sense, while relatively less attention is paid to such intensive issues as the polysemous word and the familiar word with an upgraded significance, which results in a low accuracy rate of the sentiment analysis model that is used to identify the genuine sentiment tendency of course comments. For this reason, this paper proposed an ALBERT-BiLSTM model for sentiment analysis of comments for MOOC courses. Firstly, ALBERT was used to dynamically generate word vectors. Secondly, the contextual feature vectors were obtained through BiLSTM pre-sequence and post-sequence, and the attention mechanism that could calculate the weight of different words in a sentence was applied together. Finally, the BiLSTM output vectors were input into Softmax for the classification of sentiments and prediction of the sentimental tendency. The experiment was performed based on the genuine data set of comments for MOOC courses. It was proved in the result that the proposed model was higher in accuracy rate than the already existing models.
Research on subliminal visual messages based on EEG signal and convolutional neural network
Authors: Chen Zhiming , Tan Yanshan , Zhang Zhuo , Li Ming
Published: February 2021

The visual information that can't be detected by consciousness but can affect individual's behavior and attitude under specific conditions is called subliminal visual messages. In order to better apply subliminal visual messages to commercial advertising, education and other fields, this paper studied the process of subliminal visual messages in the brain. First, this paper designed a experiment to allow the subjects to see a series of pictures stimulation of different durations and collect the EEG signals, then analyzed the impact of stimulation time on classification accuracy. The experimental results showed that when the stimulus time is short, the classification accuracy increases with the increase of time, resulting in subliminal visual effects. However, with the increase of stimulus time, the classification accuracy began to decline. We speculated that the visual information changed from subthreshold to suprathreshold. The subliminal visual effects were disturbed until disappeared.
Construction practice of student evaluation system based on JFinal + webix integrated framework and Baidu AI platform
Authors: Gao Zhan , Suo Zhihai , Liu Jun , Xu Mo , Hong Dandan , Wen Hua , Ji Xiangting
Published: February 2021

Students' evaluation of teaching is a key link to realize teaching quality monitoring and promote teachers' teaching level. Based on the practice of student evaluation in our university, this paper constructs a multi-level student evaluation system, and develops an online student evaluation system by using JFinal+webix integration framework. The new Internet plus evaluation model is established to improve the efficiency of student evaluation and the enthusiasm of students to evaluate teaching. Meanwhile, based on the analysis of students' comments on teaching by Baidu AI platform, It provides data support for the improvement of learning level and the optimization of teaching evaluation.
Design and application of electric power communication network comprehensive simulation training system
Authors: Liu Lu , Hao Xue , Geng Lizhuo , Gao Qi , Liu Zhe , Gao Feng
Published: February 2021

To solve the problem that current communication network training tools have limited functions and can’t effectively support the electric power communication network training, a new communication network comprehensive training simulation system is designed and implemented. This paper introduces the architecture of the system and function of each part. Then the simulation model principle is explained. The paper introduces the key technologies of 3D modeling, mechanism modeling, communication network scenario automatic generation and network fault simulation. Finally, the system application is introduced and the results show that the system builds a multi-functional training tool to meet the requirements of training and assessment for electric power communication network personnels.