bluuebunny/crossref_metadata_2025 huggingface dataset:
Recurrent Diabetic Ketoacidosis following Bariatric Surgery: The Role of Micronutrients
Authors: Moseley Philip , Ahmed Mohamed H , Owles Henry
Published: June 2021

We report a case of a 29-year-old woman admitted twice to our hospital with diabetic ketoacidosis (DKA) within 45 days following her bariatric surgery. The first admission required intensive care during her postoperative days after bariatric surgery. Subsequently, she continued to report high level of ketones on a daily basis. At her second admission, she presented with all three criteria of DKA. She was treated with a standard protocol for DKA, but ketones plasma level remained high despite significant improvement in pH and glycemic control. The administration of thiamine replacement was associated with normalization of the hyperketonemia. Thiamine deficiency can be associated with bariatric surgery and can lead to high ketone level in individuals with type 1 diabetes.
A New Arthroscopic Tightrope Suture-Button Fixation Procedure for Tibial Eminence Avulsion Fracture
Authors: Sun Changjiao , Du Ruiyong , Luo Song , Chen Lianxu , Ma Qi , Cai Xu
Published: June 2021

This case-series outcome study presents a new arthroscopic technique for tibial eminence avulsion fracture (TEAF) with double-tunnel using two tightrope suture buttons. From May 2017 to July 2020, we performed a new arthroscopic technique for TEAF with double tunnels, using two tightrope suture buttons on 13 patients. Clinical assessments included anterior drawer, Lachman, and pivot shift tests, the International Knee Documentation Committee (IKDC), Lysholm knee scores, visual analog scale (VAS) scores, and range of motion (ROM). An independent observer noted conditions before surgery and during the last follow-up. The patients had an average follow-up of 26.2 months, ranging from 15 to 37 months. During the last postsurgical follow-up, the anterior drawer, Lachman, and pivot shift tests were negative in all the cases. According to the IKDC, Lysholm, and VAS final scores, all patients presented a significant knee function improvement at last follow-ups compared with preoperatively. The study shows that satisfactory results about an anatomic reduction of the fragment, knee stability, function, and strength can be achieved with the new arthroscopic technique for TEAF with double tunnels using two tightrope suture buttons. This study is a therapeutic case series and its level of evidence is IV.
Ising model on a body-centered cubic lattice with competing exchange interactions in strong magnetic fields
Authors: Murtazaev K. S. , Murtazaev A. K. , Ramazanov M. K. , Magomedov M. A. , Murtazaeva A. A.
Published: June 2021

The effect of an external magnetic field on phase transitions, magnetic and thermodynamic properties of the antiferromagnetic Ising model on a body-centered cubic lattice with competing exchange interactions was studied using the replica algorithm of the Monte Carlo method. It is shown that a second-order phase transition is observed in the range of magnetic field values 7.0 ≤ H ≤ 10.0, and a first-order phase transition is observed in the range 11.0 ≤ H ≤ 13.0. A further increase in the magnetic field strength leads to the suppression of the phase transition.
Recycling and rheology of poly(lactic acid) (PLA) to make foams using supercritical fluid
Authors: Lin Lilian , Lee Young , Park Heon E.
Published: June 2021

Biodegradable plastics are thought to be the possible directions in managing plastic pollutions. Unfortunately, they are not recycled in most countries since they are designed to decompose even though recycling is a more pragmatic method than landfill or incineration. Thus, it is more constructive to develop methods to recycle biodegradable plastics or to develop biodegradable yet recyclable plastics. In this study, we used cutlery with a composite of poly(lactic acid) (PLA) and talc. The possibility to recycle it to make foams was studied even though it will have lowered mechanical strength from the recycling process as it is less significant for this product. Tensile properties of solid PLA and foams showed no significant decrease in the strength up to three processes of compression molding and foaming. We performed shear rheometry to determine the thermal stability and dependences of the complex viscosity on frequency and temperature. The magnitude of the complex viscosity dramatically increased with decreasing frequency and such an upturn increased with temperature, but time-temperature superposition was valid at high temperatures. The extensional rheometry showed no strain hardening, but physical foaming using supercritical carbon dioxide (CO2) could still occur, and the operating conditions to obtain various foamed structures were determined. We also compared the effects of one-directional against three-dimensional expansion. Overall, the concentration of CO2 in PLA and crystallinity of the foams are the two key variables to describe the bulkiness of foams. Surprisingly, the lower the CO2 concentration, the bulkier the foams at any sorption temperature and pressure.
Grounding grid corrosion detection based on mini-batch gradient descent and greedy method
Authors: Xie Hongpeng , Yang Fan , Hua Mingsheng , Liu Sen , Hu Jiayuan , He Yifan
Published: June 2021

To ensure the speed, recall, and precision of the algorithm to solve the algorithm’s measurement failure due to the problem of high underdetermination and the deviation of some outgoing lines from accessible nodes, the ideal resistance method is proposed to diagnose the corrosion of the grounding grid. The information extraction algorithm, a two-way heuristic network resistance diagnosis method, is added. A non-linear multi-objective optimization model of the deviation between the measured potential and the real potential is established. This paper puts forward that the grounding network’s fault diagnosis is analogous to a neural network’s training process, which makes full use of the excellent robustness and rapidity of a neural network training method. Simultaneously, the algorithm adds the retraining method combined with the field excavation in training and proves its feasibility through the Grobner basis codimension theory in algebraic geometry. Through result verification, it is found that the new algorithm can avoid the inversion failure caused by the algorithm failure due to the lack of accessible nodes and the abnormal part of input data at the same time as a fast solution.
Influence of spanwise flexibility on steady and dynamic responses of airfoils vs hydrofoils
Authors: Chae Eun Jung , Young Yin Lu
Published: June 2021

There is growing interest in using lighter and more flexible foils with active and/or passive smart actuation mechanisms to increase efficiency and maneuverability. For efficient operations, airfoils and hydrofoils tend to have an effective aspect ratio greater than two, which permits spanwise flexibility depending on the choice of material and architectural design. The fluid density plays an important role in the steady and dynamic performance, including the governing hydroelastic instability mechanism. To understand the influence of spanwise flexibility, we examine the response of a rectangular cantilevered foil as a canonical proxy for more complex lift generating devices. This research aims to investigate the influence of key geometric, material, and flow parameters on the steady and dynamic responses of the spanwise flexible airfoils vs hydrofoils. The results are obtained using an inviscid frequency- and time-domain fluid-structure interaction model that accounts for flow-induced bend-twist coupling terms and are compared with inviscid theory results without the flow-induced bend-twist coupling terms. The results show that the flow-induced bend-twist coupling effects impact the natural frequencies and damping coefficients, and such effects grow with increasing fluid density and flow speed. Hence, the flow-induced bend-twist coupling effects are more critical for hydrofoils than airfoils, particularly for the twisting mode. Ignoring the flow-induced bend-twist coupling terms leads to an incorrect prediction of flutter speed and over-prediction of the damping, which is dangerous because the actual vibrations and dynamic load amplification may be higher than the prediction, which could lead to accelerated fatigue. The results demonstrate that flexible hydrofoils have much lower natural frequencies and higher damping coefficients than airfoils due to higher fluid inertial and damping forces, both of which are proportional to the fluid density. While all components of the fluid forces are proportional to the fluid density, the fluid damping forces grow with the velocity, and the fluid disturbing forces grow with velocity square. Therefore, divergence tends to be the governing instability mode for hydrofoils, while flutter is typically the governing instability mode for airfoils. The maximum aero/hydro-elastic bending and twisting deformations are limited by the corresponding reduced stable velocity to avoid divergence or flutter.
Hybrid and heterogeneous photonic integration
Authors: Kaur Paramjeet , Boes Andreas , Ren Guanghui , Nguyen Thach G. , Roelkens Gunther , Mitchell Arnan
Published: June 2021

Increasing demand for every faster information throughput is driving the emergence of integrated photonic technology. The traditional silicon platform used for integrated electronics cannot provide all of the functionality required for fully integrated photonic circuits, and thus, the last decade has seen a strong increase in research and development of hybrid and heterogeneous photonic integrated circuits. These approaches have enabled record breaking experimental demonstrations, harnessing the most favorable properties of multiple material platforms, while the robustness and reliability of these technologies are suggesting entirely new approaches for precise mass manufacture of integrated circuits with unprecedented variety and flexibility. This Tutorial provides an overview of the motivation behind the integration of different photonic and material platforms. It reviews common hybrid and heterogeneous integration methods and discusses the advantages and shortcomings. This Tutorial also provides an overview of common photonic elements that are integrated in photonic circuits. Finally, an outlook is provided about the future directions of the hybrid/heterogeneous photonic integrated circuits and their applications.
Turbulence modulation by finite-size heavy particles in a downward turbulent channel flow
Authors: Xia Yan , Lin Zhaowu , Pan Dingyi , Yu Zhaosheng
Published: June 2021

Interface-resolved direct numerical simulations of downward particle-laden turbulent channel flows are performed by using a direct-forcing fictitious domain method. The effects of the particle settling coefficient, the density ratio (2, 10, and 100), and the particle size on fluid-turbulence interactions are investigated at a bulk Reynolds number of 5746 and a particle volume fraction of 2.36%. Our results indicate that the significant particle-induced reduction in the turbulence intensity does not take place for the downflow at a low density ratio of 2, and the turbulence intensity generally increases with an increasing particle Reynolds number at the same other control parameters, unlike the upflow case. The total turbulent kinetic energy (TKE) in the channel is larger for the downflow than for the upflow at the same particle Reynolds number, whereas the TKE at the channel center is roughly independent of the flow direction when the particle inertia is very large. For a density ratio of 2, the particles aggregate and are preferentially located in the low-speed streaks in the near-wall region, whereas for a density ratio of 10, the particles migrate toward the channel center, similar to the zero-gravity case. The flow friction increases with an increasing settling coefficient for the same density ratio and particle size, and the friction at the density ratio of order (10) is smallest. The pair distribution function shows the transition from the turbulence-dominated feature to the sedimentation-dominated feature, as the settling coefficient increases.
Investigation of theoretical scaling laws using large eddy simulations for airborne spreading of viral contagion from sneezing and coughing
Authors: Liu K. , Allahyari M. , Salinas J. , Zgheib N. , Balachandar S.
Published: June 2021

Using a set of large eddy point-particle simulations, we explore the fluid dynamics of an ejected puff resulting from a cough/sneeze. The ejection contains over 61 000 potentially virus-laden droplets at an injection Reynolds number of about 46 000, comparable to an actual cough/sneeze. We observe that global puff properties, such as centroid, puff volume, momentum, and buoyancy vary little across realizations. Other properties, such as maximum extent, shape, and edge velocity of the puff, may exhibit substantial variation. In many realizations, a portion of the puff splits off and advances along a random direction, while keeping airborne droplet nuclei afloat. This peeled-off portion provides a mechanism for virus-laden droplets to travel over large distances in a short amount of time. We also observe that the vast majority of droplets remain suspended within the puff after all liquid has evaporated. The main objectives of the study are to (i) evaluate assumptions of Balachandar's et al. theory [Int. J. Multiphase Flow 132, 103439 (2020)], which include buoyancy effects, shape of the puff, and droplet evaporation rate, (ii) obtain values of closure parameters, which include location and time of the virtual origin, and puff entrainment and drag coefficients, and (iii) evaluate the accuracy of the theory in predicting the shape, size, and location of the puff, as well as droplet number density long after ejection. The theory adequately predicts global puff properties including size, velocity, and distance traveled, the largest size of droplets that exit the puff due to settling, and the droplet size distribution within the puff long after ejection.
Stability analysis of an anisotropic rotor partially filled with viscous incompressible fluid based on Andronov-Hopf bifurcation
Authors: Wang Haifei , Chen Guo , Jiang Guangyi
Published: June 2021

Instability of a rotor partially filled with viscous incompressible fluid is a common issue in rotary machines, which leads the amplitude of perturbations to increase exponentially. Currently, different models of an isotropic rotor partially filled with fluid are established to investigate its stability, but the research on the stability of an anisotropic rotor is rarely reported. To explore the instability of an anisotropic rotor partially filled with fluid, a continuous model is established to represent an isotropic rotor system partially filled with fluid and dimensionless hydrodynamic forces are calculated, and then D-decomposition method is introduced to obtain stable and unstable regions of this isotropic rotor. The transitions of different regions are called as Andronov-Hopf bifurcation. Then, a novel predicting model, where the elliptical motion of a rotor partially with fluid is assumed, is established to obtain the same unstable regions, comparing with the results from D-decomposition method. The correctness of this novel predicting method for an isotropic rotor partially filled with fluid is verified by this comparison. The influence of dimensionless damping coefficient on the stability is also analyzed. Last, this novel predicting model is applied to an anisotropic rotor partially filled with fluid, the unstable regions of rotational frequencies are analyzed. The results show that dimensionless damping coefficient and dimensionless stiffness coefficient have significant influences on the stability of a rotor partially filled with fluid, there especially exist two unstable regions for a lower dimensionless damping coefficient. In addition, the asymmetric degrees of an anisotropic rotor have great influences on the unstable low boundary.
Period bubbling bifurcation and transition to chaotic state of convective flow on a top-open cylinder
Authors: Zhang Wei , Qiao Manman , Nie Bingchuan , Xu Feng
Published: June 2021

Period bubbling bifurcation and transition to chaotic state of a convective flow on the top-open cylinder beneath heating are investigated using direct numerical simulation owing to its fundamental significance and extensive application. Numerical results show that a primary convective flow on the cylinder is axisymmetric and dominated by the effect of baroclinicity for small Rayleigh numbers. There exists a complex route of the transition to chaotic state involving a succession of bifurcations when the Rayleigh number is increased; that is, the pitchfork bifurcation occurs between Ra = 2.7 × 103 and Ra = 2.8 × 103 for which an axisymmetric convective flow is broken, and the first Hopf bifurcation occurs between Ra = 3.3 × 105 and Ra = 3.4 × 105. An interesting phenomenon is that the convective flow may change from periodic back to steady state with the increase in the Rayleigh number for 7.0 × 105 ≤ Ra ≤ 1.5 × 106, termed as a period bubbling bifurcation. The whole route of the transition to chaotic state can be described by a steady, a periodic, a steady again, a period doubling, a quasiperiodic, and a chaotic state as the Rayleigh number is increased. Further, the convective flow in the transition is discussed by employing the topologic index, the spectral analysis, the attractor, and the fractal dimension. Additionally, heat transfer is also quantified.
Fluid–structure interaction in rectilinear flows: Four analytical solutions
Authors: Zhang Chenguang
Published: June 2021

A simple idea to include fluid–structure interaction (FSI) in classic rectilinear flow problems is presented. By allowing a solid boundary to behave as a rigid body, instead of holding it at constant motions, dynamic FSI problems amenable to analytical methods are obtained. Four examples (Stokes's first problem, Couette flow, rotating disk, and rotating sphere) are extended and solved by Laplace transform. Closed-form expressions of the solid velocity are obtained either for the general case or in the large-time limit, and the effects of solid inertia are discussed. In all cases, the total displacement of the solid before the coupled system reaches steady-state is obtained exactly. These solutions have general theoretical interest and can also be used to validate numerical methods.
The Neoproterozoic Gillen Formation, Amadeus Basin, central Australia: an intra-salt petroleum system and viable exploration target?
Authors: Plummer Phillip S.
Published: June 2021

The Gillen Formation, the basal component of the lower Neoproterozoic Bitter Springs Group, occurs throughout the Amadeus Basin of central Australia and comprises a basal sequence of black shales and stromatolitic dolostones overlain by an evaporitic sequence of a thick halite sandwiched between two anhydrite/dolomite units. These Gillen lithologies include potential source, reservoir and seal units for petroleum, suggesting an analogy could be drawn with the prolific evaporitic Ara Group Petroleum System of South Oman. Although well data penetrating the Gillen Formation are very limited, organic-rich shales have been penetrated in both the north and south of the basin, while both well and seismic data indicate the ubiquitous presence of sealing evaporites across the basin. The Ara Group Petroleum System spans the Neoproterozoic–Cambrian boundary and is blessed with carbonate reservoirs composed of metazoan ‘reefs’ comprising Cloudina and Namacalathus, which provide an open framework porosity approaching 50%. By contrast, the Gillen Formation was deposited during the Tonian Period of the Neoproterozoic, some 300–350 million years older than the Ara Group, and has reservoir facies limited to stromatolitic carbonates with fenestral to vuggy porosities that are typically less than 15%. Nevertheless, seismic data reveal numerous intra-evaporite opportunities within the Gillen Formation that, seismically, are virtually indistinguishable from those being exploited in South Oman, suggesting that a Gillen Intra-Salt Petroleum System is a viable exploration target throughout a majority of the Amadeus Basin.
COVID-19 smashing the stigma in mental health – a strategic blueprint for change/support
Authors: Feringa Anna , Wentzel Nada
Published: June 2021

This paper is an update on the article, ‘Smashing the stigma in mental health – a strategic blueprint for change’ (Feringa and Wentzel 2020). The oil and gas industry has endured a significant impact under COVID-19 including economic downturn and growing uncertainty, exposing the effect on human vulnerability. The state of human vulnerability under the pandemic has accelerated mental health from ‘risk’ to ‘critical risk’ in the workplace, particularly in an industry that is underpinned by high-risk operations. Mental health is one of the biggest risks to the oil and gas industry today. The necessary response to this risk is a cohesive, customisable approach that is accessible for organisations to implement, as opposed to the more common experience, which sees a series of individual initiatives put into place in a reactive ad hoc approach.
Are bonds the answer to managing environmental liabilities?
Authors: Cawrse Scott , Pepicelli Dominic , Panagopoulos Nick , Sapa Piotr , Broadbridge Daniel
Published: June 2021

Traditionally the requirement for meeting environmental liability obligations for regulated activities has focused on financial security. A single or blanket bond covering many licenses of an operator is often used to cover a state’s financial exposure to the environmental liabilities from disclaimed licenses in the event of operator insolvency. Less attention has been given to changes in regulated activities, operator risk and market changes, and management of wells over the life cycle. The Department for Energy and Mining (DEM) in South Australia has revised its policy for managing the environmental liabilities from petroleum and geothermal activities to be more holistic, risk and evidence based. Operators are now required to account for the status of all licensed activities in annual reporting, or for any change in ownership. Wells and infrastructure that have not been in production for over 24 months require an assessment based on prescribed future use criteria. If a future use can be demonstrated with sufficient evidence, the activity is categorised as ‘inactive’. Inactive wells are subject to an annual fee that finances the rehabilitation of legacy wells that may become orphan. If no future use is established, the activity is categorised as ‘expired’, and a rehabilitation plan of a minimum number of wells, or equivalent expenditure on infrastructure rehabilitation, is required. DEM also review the inventory of licensed activities and financial capacity of operators to meet environmental rehabilitation obligations to determine the amount of financial security required. This approach allows for risk-based financial security commensurate with regulated activities.
Elevation and land use as drivers of macroinvertebrate functional composition in Afromontane headwater streams
Authors: Yegon Mourine J. , Masese Frank O. , Sitati Augustine , Graf Wolfram
Published: June 2021

Macroinvertebrates play a unique role in aquatic ecosystems by acting as processors of nutrients and organic energy from allochthonous and autochthonous sources. Within East Africa, and especially Kenya, anthropogenic influences on streams and rivers as a result of deforestation and the expansion of agricultural lands are pervasive. This study investigated land use v. altitudinal shifts in the functional composition of macroinvertebrates within the Mount Elgon catchment in western Kenya. A total of 20 sampling sites in 12 streams, 10 sites each within forested and agricultural areas, located in 3 elevation categories were sampled for physicochemical water parameters and macroinvertebrates. Significant (P < 0.05) spatial variation was observed in total suspended solids, coarse particulate organic matter, temperature and electrical conductivity between forested and agricultural sites. Shredder biomass and abundance was higher in forested streams at higher elevations. There was a significant increase in the abundance (of shredders, predators, collector filterers and gatherers), taxon richness (of shredders, predators and scrapers) and biomass (of shredders, collector filterers and gatherers) of functional feeding groups with increasing elevation. Data of near-natural sites are urgently needed to disentangle altitude and land use influences on the diversity and composition of aquatic communities in high-elevation streams in the tropics.
Hepatitis B prevalence association with sexually transmitted infections: a systematic review and meta-analysis
Authors: Marseille Elliot , Harris Aaron M. , Horvath Hacsi , Parriott Andrea , Malekinejad Mohsen , Nelson Noele P. , Van Handel Michelle , Kahn James G.
Published: June 2021

Background Hepatitis B vaccination is recommended for persons with current or past sexually transmitted infections (STI). Our aim is to systematically assess the association of hepatitis B virus (HBV) sero-markers for current or past infection with syphilis, chlamydia, gonorrhoea, or unspecified STIs. Methods: We conducted a systematic review and meta-analysis. PubMed, Embase, and Web of Science from 1982 to 2018 were searched using medical subject headings (MeSH) terms for HBV, STIs and epidemiology. We included studies conducted in Organisation for Economic Cooperation and Development countries or Latin America that permit the calculation of prevalence ratios (PRs) for HBV and STIs and extracted PRs and counts by HBV and STI status. Results: Of 3144 identified studies, 43 met inclusion requirements, yielding 72 PRs. We stratified outcomes by HBV sero-markers [surface antigen (HBsAg), hepatitis B core antibody (anti-HBc), combined], STI pathogen (syphilis, gonorrhoea/chlamydia, unspecified), and STI history (current, past) resulting in 18 potential outcome groups, for which results were available for 14. For the four outcome groups related to HBsAg, PR point estimates ranged from 1.65 to 6.76. For the five outcome groups related to anti-HBc, PRs ranged from 1.30 to 1.82; and for the five outcome groups related to combined HBV markers, PRs ranged from 1.15 to 1.89). The median HBsAg prevalence among people with a current or past STI was 4.17; not all studies reported HBsAg. Study settings and populations varied. Conclusion: This review found evidence of association between HBV infection and current or past STIs.
Spatial constraints in large-scale expansion of wind power plants
Authors: Antonini Enrico G. A. , Caldeira Ken
Published: June 2021

Significance

Wind comprised 6.1% of worldwide electricity generation in 2020. If this share is to substantially grow to decarbonize electricity systems, the size of future wind farms may extend far beyond that of current installations. The spatial scale of a wind farm affects both its mean generation per unit of land and the extension of wake shadowing on neighboring plants. As spatial scales increase, mean generation decreases and wake extension increases. Here, we characterize spatial constraints in the large-scale expansion of wind power plants to address the following: 1) How large a wind farm can be before its generation reaches energy replenishment limits, and 2) How far apart large wind farms must be spaced to avoid inter–wind-farm interference.
PQ Forum #20. Problems Impacting PQ Documents
Authors: Pluta Paul
Published: June 2021

Managers have also described problems that have negatively impacted PQ documents, problems not with validation PQ documents per se, but associated problems affecting PQ documents. These events damaged PQ credibility, and sometimes necessitated repetition of a previously completed validation. These experiences demonstrate the need for proactive measures to prevent similar occurrences. We may prepare good PQ documents, but perfect documents alone are not enough for a successful validation program.
Key comparison BIPM.RI(I)-K4 of the absorbed dose to water standards of the GUM, Poland and the BIPM in 60Co gamma radiation
Authors: Kessler C , Burns D , Knyziak A , Szymko M , Derlaciński M
Published: June 2021

Main text

A first key comparison of the standards for absorbed dose to water of the Główny Urząd Miar (GUM), Poland and the Bureau International des Poids et Mesures (BIPM) was carried out in the 60Co radiation beam of the BIPM during June-July 2020. The comparison result, based on the calibration coefficients for two transfer standards and evaluated as a ratio of the GUM and the BIPM standards for absorbed dose to water, is 1.0030 with a combined standard uncertainty of 3.5 parts in 103. The results are analysed and presented in terms of degrees of equivalence, suitable for entry in the BIPM key comparison database.

To reach the main text of this paper, click on Final Report. Note that this text is that which appears in Appendix B of the BIPM key comparison database https://www.bipm.org/kcdb/.

The final report has been peer-reviewed and approved for publication by the CCRI, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).
Research on Responsive Information Interaction Design Based on Facial Recognition Technology
Authors: Ma Chen
Published: June 2021

The recognition and tracking down moving figures have always been a hot research topic in the field of computer vision. With the development of artificial intelligence in recent years, the application of deep neural networks involves various fields. Compared with the previous solutions, some problems even have better solutions based on deep neural networks. This article mainly discusses targeting people based on face recognition and realizing movement tracking down the target people. The research content of this article can be divided into two aspects. The first aspect is the identification of the target person. Since the overall characteristics of the target individual are not recognizable, and the overall recognition easily leads to errors, this article uses the method of identifying the target person based on the face. This article introduces the application of deep neural networks of facial recognition, and finally selects the SeetaFace faces recognition system that does not depend on any third-party library functions and is open source. The second aspect are the tracking of sports figures. When the algorithm recognizes that the similarity between the image and the target face reaches a certain level, it will automatically switch to tracking the overall torso of the moving person. In the tracking part, a variety of algorithms are compared and compared with experimental data. Experiments have verified that the convergence of face recognition and tracking algorithms is feasible, and this solution not only prevents the interference and occlusion of similar colored objects of the tracking process, but also ensures the stability of the tracking process and is robust., Accuracy and real-time performance have also achieved good results.
RETRACTED: Defect detection of solar cell based on data augmentation
Authors: Wang Yunyan , Luo Shuai , Wu Huaxuan
Published: June 2021

In this paper, a true and false data fusion algorithm based on deep convolution confrontation generation network and random image Mosaic is proposed, which improves the training data volume by 800 times. At the same time, the network model is optimized with light weight to reduce model training parameters, storage space and prediction time. The experimental results show that compared with the original data set training and the model training using the traditional data enhancement algorithm, the test accuracy of the model training obtained by the fusion of real and false data is improved by 30% and 17% respectively, reaching nearly 77%. After the lightweight treatment, the model parameters were reduced to about 1/2 before the treatment, and the test time for each image was shortened from 57ms to 22ms. The research shows that the fusion algorithm can effectively help the image classification task with insufficient data to alleviate the problems of network overfitting and poor model performance. The lightweight optimization model can not only ensure the accuracy, but also compress the size of the model to speed up the testing speed. It is helpful to promote the application of intelligent algorithm in industrial production so as to save cost and improve production efficiency.
Study on Image Classification Algorithm Based on Improved DenseNet
Authors: Wang Gaihua , Guo Zhao , Wan Xizhou , Zheng Xu
Published: June 2021

In order to perform fast analysis and recognition of power equipment images. A residual attention mechanism based image classification model is proposed. First, the power equipment dataset is preprocessed and the power equipment dataset is randomly divided into a training set and a test set. Based on the improved DenseNet, the image features of the training set are extracted. The training set images are used for training, and the classification test is implemented on the test set. The experimental results show that the accuracy of the improved DenseNet algorithm is improved by 8.89%. It can be seen that the classification accuracy of the improved DenseNet algorithm is effectively improved.
Research on High Precision of Projection Exposure Imaging of Large-Scale Integrated Circuit Lithography Machine
Authors: Zhang Minshan
Published: June 2021

The precision and work efficiency of the distributed repeat projection lithography machine (DSW) directly affect the special requirements of the large-scale integrated circuit production process. In order to improve the exposure and imaging accuracy of the large-scale integrated circuit lithography machine projection, the paper proposes the lithography machine projection object image difference in-situ detection (AMF) technology based on particle swarm optimization. The article analyzes the basic principles of this technology using special test marks to detect spherical aberration, astigmatism, and coma of the projection objective, and discusses the method of using the alignment position coordinates to calculate the imaging position shift caused by aberration. The experimental results show that the AMF technology can achieve accurate measurement of aberration parameters such as spherical aberration, coma, and astigmatism.
Point cloud target detection and tracking algorithm based on K-means and Kalman
Authors: Fang Liangyu , Luo Qian , Sun Yue
Published: June 2021

This paper is mainly about point cloud image and data processing, virtualization and visualization. An improved K-means iterative clustering algorithm is proposed. In addition, cloth simulation filtering algorithm is used to extract road surface information. On this basis, bilateral filtering and statistic filtering are used to smooth image denoising. Kalman filter is used to track and predict point cloud targets. Using the variance of innovation sequence, the noise variance and observation noise variance can be estimated and corrected gradually in the process of system calculation. The error is relatively small, and the accuracy and reliability are improved. For disordered, occluded, sparsity and noisy, complex terrain image, how to improve the denoising effect, the accuracy and effectiveness of target extraction and tracking is the focus of this paper.
Classification of pulmonary lesions based on CNN and chest X-ray images
Authors: Xue Wen
Published: June 2021

This article mainly introduces the convolutional neural network (CNN) and uses CNN to realize the processing and classification prediction of chest X-ray images (CXR), to determine whether the lung has lesions, and finally the final AUC score of 0.85556 through CNN. In order to further improve the accuracy, after referring to many documents and considering the actual situation, I chose to perform principal component analysis (PCA) in the image preprocessing part, replace the random initial sample with the principal component initial sample, and replace the random initial kernel with the principal component initial kernel. To avoid staying in the local optimum when stochastic gradient descent finds the optimal kernel. The PCA + CNN model predicted an AUC score of 0.89333, an increase of 0.03777.
An Adaptive Recovering Algorithm for The Color Bar Code Image Based on Gamma Transforms
Authors: Niu Wanhong , He Jielin , Liu Xingchao , Huang Lingxiao , Zhao Xiaojuan
Published: June 2021

Aiming at the problem of error reading caused by color deviation under abnormal light source, a color bar code image restoration algorithm adaptively acquiring correction parameters is proposed. According to degree of exposure, the variation range of parameter γ is selected the step size is set. Gamma transformation is then implemented sequentially for the luminance component. Furthermore, the root means square error of enhanced image and source image, as well as the information entropy of enhanced image are sequentially obtained. The best balance point is captured, yielding corresponding γ for image recovery. Finally, the image is segmented based on histogram equalization principle to achieve the best recovery performance. The experimental results show that the algorithm is able to obtain the correction parameters adaptively and recover true color of color bar code images effectively under low-light or non-uniformly intense light of particular light sources.
Research on Data Mining Method of TCM Prescription Based on Machine Learning
Authors: Wen Gege , Wen Pin , Tang Zukai
Published: June 2021

This paper uses conditional random field model to mine TCM data. In order to identify the information of prescriptions in ancient Chinese medicine books, the model firstly cleaned and segmented the original text data, then, labels are added according to the selection of TCM characteristics to mark part of the corpus, and according to the demand divided into two parts, the training corpus was used to adjust the parameters of the custom CRF feature template, and the model was generated after adjusting the parameters. The accuracy of the model for entity recognition was verified by using the test corpus. In the end, the feasibility of the conditional random field model in the identification of TCM prescriptions was verified experimentally.
Dual bidirectional mutual distillation based on dense connections
Authors: Lu Bin
Published: June 2021

In the field of deep neural network, model compression has been widely used. As a model compression method, knowledge distillation has been studied more and more widely. Most of the existing knowledge distillation methods need a lot of data to train the teacher model in advance, and the interaction between their teacher model and student model is often weak. The existing methods such as DML are constrained by loss to realize soft weight sharing, and there is little work to discuss hard weight sharing. Therefore, a new deep interactive online distillation method is proposed in this paper. In this method, the teacher network generates the auxiliary student network and establishes the connection between the two, and the student network generates the auxiliary teacher network and establishes the connection between the two. Then the two auxiliary networks are combined and trained from scratch. Finally, the performance of the model is improved by using back gradient propagation. The effectiveness of this method is verified by experimental tests on common image classification tasks.
Computer Image Processing System Based on Feature Extraction Technology
Authors: Luo Xiaojing , Cai Guangxing
Published: June 2021

This article studies the methods of computer image acquisition, processing and recognition. The study found that the images collected from the computer image processing system often have blurring phenomenon. For this reason, the paper proposes a wavelet transform feature extraction algorithm based on colour images, which can separate the image and the background without greying the colour image. Through experimental research, it is found that this method can efficiently and quickly solve the problem of automatic image registration.
Rapid Flood Mapping based on Remote Sensing Cloud Computing and Sentinel-1
Authors: Li Jianfeng , Wang Jiawei , Ye Huping
Published: June 2021

Flood is a natural disaster with the highest frequency and the widest influence range in the world, which seriously restricts human survival and economic development. Obtaining flood inundation range quickly and accurately has important practical significance for flood disaster assessment, rescue and resource allocation. Based on Google Earth Engine cloud platform and Sentinel-1 radar images, a quick flood inundation range extraction model is constructed and applied to the analysis of severe floods in Matala District, Sri Lanka in May 2017. The results show that the flood in Matala area is mainly concentrated in the south and southwest, and the surface water area has expanded by 5 times, among which the flood area in Thihagoda district is the most serious, accounting for 29.28% of the total area. The model has high efficiency and strong feasibility, which can be widely used in flood emergency monitoring.
High Spatial Resolution Remote Sensing Image Classification Based on Pixel Shape Index Method
Authors: Kong Hui , Liu Jin Bao
Published: June 2021

Then the pixel shape index method is used to extract the pixel shape index features of high spatial resolution remote sensing images and supplement the spectral features.The experimental results show that the pixel shape index feature can effectively distinguish the ground objects with similar spectral features but different geometric shapes, and is superior to the spectral feature classification method in accuracy.Compared with the small ripple feature method and the multi-scale region feature method, the pixel shape index method also achieves better results.On the other hand, it is found in the experiment that the method is easily affected by the detailed information in the high spatial resolution remote sensing image, and the classification effect of the region rich in detailed information is not ideal.In this paper, pixel shape index method is used to effectively distinguish ground object targets with similar spectral features but different shapes, and extract pixel shape index features of high-resolution remote sensing images. Compared with spectral features, pixel shape index features have great advantages in accuracy, and it is also conducive to the supplement of spectral features.
Research on the Machine Learning Algorithms in the Prevention Model of New Coronary Pneumonia Epidemic Prevention and Control
Authors: Hong Yukai
Published: June 2021

In response to the practical application of new COVID-19 transmission dynamics models such as new coronary pneumonia, the number of contacts associated with real-time data of confirmed cases is proposed, and the new COVID-19 transmission dynamics model based on machine learning algorithms is optimized. Enhance the practical value of the model. This type of exposure can be extended to other new cases of COVID-19, revealing the risk of transmission at different times during the outbreak.
Research on the Application of Rigid-flexible Compound Driven Fruit Picking Robot Design in Realizing Fruit Picking
Authors: Yang Zhuoyuan
Published: June 2021

This article mainly designs an efficient fruit picking robot that combines rigidity and flexibility. The design of the robot adopts a mechanical arm with 5 degrees of freedom for the mecanum wheel. The mechanical arm is equipped with a gripper made using artificial muscle technology. The ZED2 binocular vision system is used to obtain spatial coordinates to realize the positioning and positioning of the mechanical arm. Video image acquisition. In order to realize the automatic recognition and picking of strawberries, this paper creates a strawberry training set, and uses the yolov3 algorithm to train the data and obtains a strawberry recognition model, which has a recall rate of larger strawberries and immature strawberries and the precision rate reached 90%, and the detection precision and precision rate of small target strawberries reached more than 80%. It can Meet the requirements of picking in real life.
Large parallax image matching based on Graph Matching
Authors: Sun Guangmin , Weng Yu , Shi Chong
Published: June 2021

In the security video surveillance system, image splicing technology faces the difficulty of achieving large parallax and small overlap area. This paper summarizes the traditional stitching technology and analyzes that the image matching algorithm is the key technology to solve the problem of large parallax stitching. Aiming at the problems that traditional matching methods with low matching accuracy cannot adapt to large parallax non-rigid transformatio, a model based on image matching is proposed in this paper for splicing tasks. The model which combines the similarity of the global structure and the local structure can not only divide the feature point on the structural level but also can pair with each other. At the same time, the framework can be trained end-to-end. The training samples composed of simulation data sets are adopted to train the designed model which is tested and verifyed by the test sample sets composed of three kinds of mixed data. Compared with PCA-GM, the model proposed in this paper adapts well to splicing tasks. The matching accuracy can achieve 93.1% and 91.9% on the simulation data set and the small parallax splicing data respectively, which can initially solve the image matching problem in the traditional image splicing scene. However, a further research aiming at the problem of the matching accuracy on the large parallax data set can only achieve 74.5% will be needed.
Research on the Effect of Online Service by Logistic Regression Model and Remote Video Technology
Authors: Zhang Hanping
Published: June 2021

At present, online teaching is developing rapidly, and with it is how to improve the effectiveness of online teaching. This research constructs learning behavior indicators from the online learning process, and uses logistic regression to analyze the learning data in online teaching, and explores the impact of learners’ online learning behavior on academic performance. The correlation between indicators such as the time lag of course registration, the number of login courses, the number of submitted homework tests, the average of the number of saved exercises, and the degree of completion of video viewing and other indicators and scores were discussed. The study found that the submission of homework tests can be used as key indicators for online teaching and learning performance prediction.
Control design based on multi-index nonlinear control method
Authors: Zhao Zhaolong , Huang Minghui , Li Yibao
Published: June 2021

Firstly, a nonlinear control system based on the Riemannian manifold is defined from the perspective of holism, and the expression of the system’s state equation in the local coordinate system of the Riemannian manifold is given. The geometric structure of the Riemannian manifold is discussed. The influence of nonlinear systems is studied. The controllability and observability of nonlinear systems is studied. Secondly, using the properties of involute distribution and fully geodesic submanifolds, the local parts of nonlinear systems based on Riemannian manifolds are given. Controllable structured decomposition, local observable structure decomposition and Kalman decomposition. Thirdly, using the properties of orthogonal involute distribution family, incremental involute distribution family and fully geodesic submanifold family, the research is based on Riemannian manifolds. The parallel decoupling problem and cascade decoupling problem of nonlinear control systems on the above, as well as the local disturbance decoupling problem of affine nonlinear control systems.