bluuebunny/crossref_metadata_2025 huggingface dataset:
Displacement-maintaining piezoelectric actuator without friction
Authors: Liu Kaiyuan , Han Wenwen , Gu Haoyu , Song Siyang , Shao Yan , Shao Shubao , Xu Minglong
Published: January 2022

We propose a displacement-maintaining piezoelectric actuator based on a hysteresis loop and a displacement-voltage loop. Remnant polarization and remnant strain of piezoelectric material depend on maximum applied electric field. By adjusting the peak and valley of the applied voltage, the displacement-voltage loop of piezoelectric material is changed, and our proposed actuator can have different displacement states at zero voltage. In order to verify that this actuator is practical, a commercially available piezoelectric stack using modified lead zirconate-lead titanate is used as a drive unit. Experiments show that the actuator can maintain displacement without friction. Moreover, the relationships between maintainable displacement and the peak and valley of applied voltage are obtained. The actuator can continuously adjust the maintainable displacement with nanometer-level resolution and micron-level stroke. This work provides a method to maintain continuously adjusting displacement at zero voltage without friction, which can be expected to expand the range of application of piezoelectric materials in precision actuators.
A study of electroactive polyvinyl chloride (PVC) gel actuators through the use of the electric modulus formalism and cyclic linear voltage sweeps
Authors: Frank Zachary , Al-Rubaiai Mohammed , Tan Xiaobo , Kim Kwang J
Published: January 2022

The conductivity and dielectric properties are integral to the function of polyvinyl chloride (PVC) gel actuators. The frequency-dependent properties of PVC gel actuators are investigated here in terms of their impedance, permittivity, and for the first time, electric modulus. The data shows that PVC gels’ conductive properties are just as, if not more, important as their dielectric properties in electromechanical transduction applications. The electrode polarization (EP) and its impact on the impedance and dielectric spectra of PVC gels, as well as the developed asymmetric space charge at the anode, are discussed. The electric modulus and tan

δ

spectra are used for the fitting of Cole-Cole (CC) and Debye relaxation models for gels of varying plasticizer content. The electrostatic adhesive force for PVC gels of varying plasticizer is also measured, indicating large electrostatic adhesion (>2 N cm−2). A cyclic linear voltage sweep is used to clarify the dynamics of space charge within the gels. The peak current (associated with space charge development) is seen to be concurrent with the onset of mechanical deformation, showing the asymmetric charge as the origin of electromechanical transduction. Additionally, the maximum charge transferred (as measured by the integration of current over time) before space charge development is found to correlate with the electrostatic adhesive force measured for the gels, pointing to a new method of characterizing PVC gels for actuation.
Non-minimally coupled vector boson dark matter
Authors: Barman Basabendu , Bernal Nicolás , Das Ashmita , Roshan Rishav
Published: January 2022

We consider a simple abelian vector dark matter (DM) model, where only the DM (X̃μ) couples non-minimally to the scalar curvature (R̃) of the background spacetime via an operator of the form ∼X̃μ
X̃μ
R̃. By considering the standard freeze-out scenario, we show, it is possible to probe such a non-minimally coupled DM in direct detection experiments for a coupling strength ξ∼𝒪(1030) and DM mass m
X ≲ 55 TeV, satisfying Planck observed relic abundance and perturbative unitarity. We also discuss DM production via freeze-in, governed by the non-minimal coupling, that requires ξ ≲10-5 to produce the observed DM abundance over a large range of DM mass depending on the choice of the reheating temperature. We further show, even in the absence of the non-minimal coupling, it is possible to produce the whole observed DM abundance via 2-to-2 scattering of the bath particles mediated by massless gravitons.
Goos–Hänchen and Imbert–Fedorov shifts in tiltedWeyl semimetals
Authors: Liu Shuo-Qing , Song Yi-Fei , Wan Ting , Ke You-Gang , Luo Zhao-Ming
Published: January 2022

We establish the beam models of Goos–Hänchen (GH) and Imbert–Fedorov (IF) effects in tilted Weyl semimetals (WSMs), and systematically study the influences of Weyl cone tilting and chemical potential on the GH and IF shifts at a certain photon energy 1.96 eV. It is found that the GH and IF shifts in tilted type-I and type-II WSMs are both almost symmetric about the Weyl cone tilting. Meanwhile, the GH and IF shifts in type-I WSMs almost do not change with the tilt degree of Weyl cones, while those in type-II WSMs are extremely dependent on tilt degree. These trends are mainly due to the nearly symmetric distribution of WSMs conductivities, where the conductivities keep stable in type-I WSMs and gradually decrease with tilt degree in type-II WSMs. By adjusting the chemical potential, the boundary between type-I and type-II WSMs widens, and the dependence of the beam shifts on the tilt degree can be manipulated. Furthermore, by extending the relevant discussions to a wider frequency band, the peak fluctuation of GH shifts and the decrease of IF shifts occur gradually as the frequency increases, and the performance of beam shifts at photon energy 1.96 eV is equally suitable for other photon frequencies. The above findings provide a new reference for revisiting the beam shifts in tilted WSMs and determining the types of WSMs.
Uncertainty budget for PTB’s gonioreflectometers and ways to improve it in the short VIS spectral range
Authors: Santourian Irina , Quast Tatjana , Schirmacher Alfred
Published: January 2022

This paper describes a detailed derivation of the uncertainty budget for measurements of the absolute spectral radiance factor with PTB’s gonioreflectometers. The measurement uncertainty is determined according to the ‘Guide to the expression of uncertainty in measurement’ provided by the Bureau International des Poids et Mesures. To give an insight, the uncertainty analysis is applied to measurements of three ceramic samples. The influence of different systematic and statistical sources of uncertainty and their contributions are discussed in detail. For wavelengths larger than 450 nm the total measurement uncertainty is dominated by systematic contributions. Towards UVA the major contribution is caused by statistical effects, which are mainly due to the decreasing power of the radiation source used. We present an approach capable to reduce this contribution for the VIS/UVA-transition spectral range by means of a specially designed LED-based sphere radiation source.
Validation of spine SBRT using a 3D printed Anthropomorphic phantom
Authors: Dekker KH , Alexander KM , de Moraes F Ynoe , Olding T
Published: January 2022

A segment of a spine was 3D-printed based on real patient anatomy, using metal-doped high density plastic to radiographically mimic bone. This spine was submerged in a water tank to create an anthropomorphic phantom. The spine print incorporated a slot for Gafchromic EBT3 film dosimeters and fiducials for alignment of measured and calculated dose distributions. Spine SBRT treatment plans were generated for both 6 MV and 10FFF energies based on oncologist-drawn contours transferred from real anatomy. Plans were delivered under image guidance using our clinical procedures, to evaluate the dosimetric accuracy of our planning system in high density inhomogeneities and the geometric accuracy of delivery. Results show that the Acuros XB algorithm (dose-to-water) agrees well with film measurements throughout the measured region, including within the bone substitute material. Alignment of the steep dose gradients in planned and measured doses was within 0.5 mm in the ANT-POST direction and within 0.9 mm in the SUP-INF direction, both within machine tolerances. Our results give us confidence in our ability to plan and accurately deliver spinal SBRT treatments.
Effects of PVA-GTA-I radiochromic gel dosimeter components on optical dose-response
Authors: Hayashi Shin-ichiro , Ono Kaoru , Fujino Keisuke , Kurihara Ryosuke
Published: January 2022

In recent years, a novel radiochromic gel dosimeter was developed that utilizes the color development of a polyvinyl alcohol-iodide (PVA-I) complex. In this study, we explore the effects of different iodide salts (LiI, NaI, KI, CsI, NH4I, CaI2, and ZnI2) and PVAs with different degrees of polymerization (500, 1000, and 1500) and saponification (80, 88, and 98 mol%) were investigated on a PVA-GTA-I gel dosimeter using PVA that was chemically crosslinked with glutaraldehyde (GTA) as a matrix. The results showed that these substitutions had negligible effect on dose-responses, such as sensitivity and dose-rate independence.
Further investigation of lung tumour peripheral doses using normoxic polymer gel dosimetry techniques
Authors: Venning A , Mundayadan Chandroth M , Morgan C , Roberts M
Published: January 2022

This work builds upon previous investigations of lung tumour peripheral doses for 6 MV, 6 MV FFF, and 10 MV FFF conformal arc therapy beams calculated in the Monaco® TPS and delivered using an Elekta® Agility™ linac. An improved patient lung phantom is developed with measurements using the normoxic PAG gel dosimeter and compared against dose planes from the TPS. The gel dosimeter measurements indicate that the TPS is overestimating the secondary build-up in the lung tumour peripheral region. It has been determined that in lung tumours, 6 MV FFF is the optimal beam energy for peripheral dose coverage and that there is a dosimetric compromise using 10 MV FFF.
RSC: Optically stimulated emission of LiF:Mg, Cu, P - towards 3D optically stimulated luminescence dosimetry
Authors: Nyemann Jacob S , Jensen Mads L , Nielsen Camilla L , Bondgård Karl-Emil T , Turtos Rosana M , Julsgaard Brian , Petersen Jørgen B B , Muren Ludvig P , Balling Peter
Published: January 2022

With the introduction of highly conformal treatment modalities, dose verification in 3D is becoming more important than ever for patient-specific quality assurance of radiotherapy. Reusability of 3D dosimeters may be the path to cope with the cost-benefit issues caused by batch-to-batch fluctuations and intense calibration protocols in existing 3D systems. We present the idea of an envisioned (optically stimulated luminescence) OSL-based 3D readout system, which exploits the inherently reusable dosimetry properties of OSL. We provide the emission spectra of the OSL active material LiF:Mg, Cu, P (MCP) for three stimulation wavelengths (460 nm, 532 nm, and 664 nm), and summarize recently published optical characterization results to highlight the requirements of a readout system for an MCP-based dosimeter.
International Conference on Electronic and Advanced Materials 2021
Authors: Saud Norainiza , Bakar Sharifah Shahnaz Syed , Ramli Mohd Izrul Izwan , Nazeri Muhammad Firdaus Mohd
Published: January 2022

The International Conference on Electronic and Advanced Materials (ICEAM) 2021 was held online on the 2nd November 2021 streaming from Digital Management and Development Centre, Universiti Malaysia Perlis (UniMAP). This conference was organized by the Center of Excellence Geopolymer & Green Technology (CEGeoGTech), UniMAP, with Tin Solder Technology Research Group (TSTRG) MALAYSIA and The Electronics Packaging Research Society (EPRS) as co-organizer. The conference was also sponsored by the Tin Industry (R&D) Board. The conference was held virtually in order to follow the standard operation procedure imposed by the Malaysian government due to the COVID-19 movement control order and travel restriction.

The conference serves as the best platform for sharing and exchanging ideas on Advanced Materials topics such as electronic materials, ceramic materials and geopolymer, bio-materials, polymers and rubber, and composites. The conference aimed to provide a platform for scientists, researchers, and students in the related field to discuss current research progress, challenges, and practical solutions that could be adopted to keep abreast in this challenging world. The program provides networking and cooperation amongst academicians, scientists, researchers, and engineers from the materials sciences and engineering fields.

List of Organizing committee is available in this pdf.
High Entropy Alloy Towards Functional Materials Application: A Review
Authors: Nadzri Nur Izzati Muhammad , Khemar Athirah , Wahab Juyana A. , Mahat Mohd Muzamir
Published: January 2022

The development of high entropy alloy (HEA) is considered a new bloom area as the ideas open up the exploration of a various multi-disciplinary elements in many applications. It is a novel class of complex materials identified in the phase diagram’s core, and they have been proven to outperform typical alloys. This HEA involves mixing unique combinations of mechanical and functional qualities across an infinite space of alloy composition. It is also possessing a great understanding of the thermodynamic behaviour of the materials which influence greatly their physical and mechanical properties. This review paper aims to open up the possibilities of developing HEA on different types of approaches based on the core effects which is very useful in functional materials applications especially in semiconductor, refractory and many more. However, to obtain this material, the most crucial thing is to understand and develop their synthesising routes of HEA production, which has become the main priority. Therefore, this paper focuses on discussing different metal elements that are commonly used in HEA and few fabrication routes on HEA. Some of recent functional materials based HEA is introduced by their enhance properties compare to conventional alloys.
Factors of Controlling the Formation of Titanium Dioxide (TiO2) Synthesized using Sol-gel Method – A Short Review
Authors: Abdul Razak K. , Che Halin D. S. , Abdullah M. M. A. , Mohd Salleh M. A. A. , Mahmed N. , Azani A. , Chobpattana V.
Published: January 2022

There have been experiments on TiO2 thin films synthesized utilizing sol-gel techniques. The sol-gel method is a straightforward technology that gives numerous benefits to the researcher, for instance, material’s reliability, reproducibility, and controllability. Following from there, it can be utilized to make high-quality nano-structured thin films. According to previous studies, the TiO2 films’ characteristics occur to be highly dependent on the production parameters and initial materials utilized. Controlling the formation of TiO2 thin films with the sol-gel method was momentarily discussed here.
Chemical kinetics modelling for the effect of chimney on diffusion flame in carbon nanotubes synthesis
Authors: Wong Hock Yee , Ho Cheng How , Ho Jee Hou
Published: January 2022

Hydrocarbon flame syntheses of carbon nanotubes (CNTs) on various metals substrates have been reported in literature, but existing methods are limited to usage of high melting temperature metals substrate due to excessive temperature in conventional diffusion flame burner. To address this limitation, high thermal conductivity chimney is innovatively incorporated into the diffusion burner to control flame temperature. Hence, the aim of this study is to investigate the effect of chimney application on the interaction behaviour between flame temperature profile and concentration of post combustion species distribution of diffusion flame. In this study, Computational Fluids Dynamics (CFD) – Chemical Kinetics (Chemkin) coupling method is used to simulate the flow and transport behaviour of laminar methane-air mixture in combustion environment. Kinetics mechanism is imported into species transport model of Chemkin simulator to further determine the reaction between combustion species and temperature profile of the mixture. Heat transfer models are then integrated into simulation to investigate the cooling effect of chimney during the combustion of methane-air mixture. This numerical simulation study provides insights on effects of chimney application towards cooling, species concentration, flame temperature and paving path for controlling the growth of CNT on low melting temperature metal substrate. Numerical models show improvement in temperature controls, increase in gas species concentration and in surface area that is favourable for growth of CNTs.
Conjugated Polymer of Biosensor using Langmuir-Blodgett Technique-A Review
Authors: Mohd Najib Nur ’Izqa Ashiqin , Othman Siti Amira
Published: January 2022

Health biosensor applications based on conjugated polymer have gained many attentions among researchers because of their sensitivity, selectivity, and linearity. Polyaniline, a conjugated conducting polymer has been explored since the early 1960s and one of the famous conducting polymer compare to the others like polypyrrole, polyacetylene, and polythiophene. Polyaniline is ease to synthesis, high conductivity, and good performance in biosensor applications. A doping approach using protonic acids (hydrocholoric acid, 4-dodecylbenzenesulfonic acid, sulfuric acid, phosphoric acid) can be utilized to increase solubility and induce fusibility of the stiff chain of the polymer. A structural modification of doping process could make the polymer become high conductivity and it was universally agreed about that. Polyaniline presents ionic conductivity and electronic combinations that make bio-interfaces exist among the other electrochemical applications. The conductivity of the polymer is one of the promising materials that may be used to improve the analytical properties of sensors. Langmuir-Blodgett technique is a method to produce thin film of polyaniline therefore the conductivity of polyaniline can be measured using four-point probe device.
Effects of molding temperature on delamination of small outline transistor (SOT)
Authors: Badarisman A. H. , Abdul Hamid K. , Ideris H. , Abu Bakar M. , Jalar A.
Published: January 2022

Delamination of small outline transistor (SOT) package has been a challenge to ensure good package reliability. Molding process parameter optimization is a practical & cost-effective alternative to reduce delamination of the plastic package. First, selective molding parameters, namely, molding temperature, transfer speed, transfer pressure & pre-heat temperature was varied in a full factorial experiment to determine the significance of each factor. It is observed from the complete factorial analysis that molding temperature was the most significant factor concerning delamination. Next, one factor at a time (OFAT) experimental design was conducted to confirm moulding temperature’s repeatability. Molding temperature was identified as a significant factor on determining the delamination response of SOT packages. Lowering mold temperature resulting to lower percentage of delamination however proven to have an adverse on package curing density.
The effect of ethylene glycol post-treatment on the electrical conductivity of PEDOT: PSS thin films
Authors: Asri Nurul Ain Najihah , Amir Baharin , Ramli Anis Syahirah , Safian Muhd Fauzi , Zakaria Azlan , Jani Nur Aimi , Mahat Mohd Muzamir
Published: January 2022

The application of organic conducting polymers such as poly (3,4-ethylene dioxythiophene): poly (4-styrene sulfonate) (PEDOT: PSS) is vastly expanding for the development of advanced and flexible organic electronic devices, such as solar cells, light-emitting diodes, and organic electrochemical transistors (OECTs). Also, PEDOT: PSS can perfectly replace high-cost Indium tin oxide (ITO) thin films. In this study, PEDOT: PSS was synthesizedviathe chemical oxidative polymerization method. The film formation was carried out through a feasible drop-casting method onto a cleaned glass substrate. To further enhance the conductivity of pristine PEDOT: PSS, the PEDOT: PSS thin films were post-treated with different concentrations (3, 5, and 7% v/v) of ethylene glycol (EG). Based on the electrochemical impedance spectroscopy (EIS) analysis, it was revealed that the post-treated sample had a higher conductivity value compared to the untreated sample (2.48 × 10-4S/cm), with the highest recorded conductivity value of 2.67 ×10-3S/cm at 5% v/v of EG. This result corresponds to the previous study, which highlighted that the optimum concentration of EG is 5% v/v to achieve the optimum conductivity value for thin film application. Furthermore, the structural properties of the thin films were characterized using Fourier transform infrared (FTIR) spectroscopy to confirm the presence of PEDOT: PSS and EG in the samples.
E-book Retrieval and Reading System Based on Brain-Computer Interface
Authors: Su Xiaomeng , Fengshengwang  , Pingtan
Published: January 2022

In this paper, we propose a real-time Brain-computer interface(BCI) system that ena bles paralyzed patients to read e-books on the website autonomously according to their intentio ns. The system uses EMOTIV EPOC+ to acquire the user’s electroencephalography(EEG) sign als and decodes them to analyze the user’s real intention when reading e-books on the website, i ncluding selecting and reading operations. The system uses the VRPN communication protocol to transmit the EEG data processing results to the PC to realize the corresponding operations o n the web page. To verify its performance, we have carried out experiment on 5 subjects. And t he result shows that after short-term training, the accuracy of the system can reach more than 9 0%.
Single Document Extractive Summarization Model Based on Heterogeneous Graph Transformer
Authors: Gan Ling , He Peng
Published: January 2022

At present, the graph model-based summary model has problems such as insufficient semantic fusion between nodes and lack of location information. Therefore, this paper proposes a single-document extraction text summary model based on a heterogeneous graph attention neural network, using HGT (Heterogeneous Graph Transformer), Heterogeneous Graph Attention Neural Network to solve the defect of insufficient deep semantic fusion of nodes, and use trainable position coding to solve the defect of missing position information. Experiments show that the model in this paper has improved on the three evaluation indicators of R_1, R_2 and R_L, and the abstracts extracted have better generality.
Dense Pedestrian Detection Based on YOLO-V4 Network Reconstruction and CIoU Loss Optimization
Authors: Zhang Guoliang , Du Zexu , Lu Weijiang , Meng Xiaoyan
Published: January 2022

Online object detection is a fundamental problem in time-critical video analysis applications. Due to the performance limitations of one-stage object detection algorithms in dense pedestrian occlusion, we have improved YOLO-V4 in this paper, including network structure optimization, more efficient multi-scale feature fusion strategy formulation, and more specialized network loss function design. First, a single-output YOLO-V4 network structure is proposed, which integrates image information from multiple scales through the designed ladder fusion strategy. This not only ensures that the aspect ratio estimation of anchors is still driven by training data but also solves the invalid anchor distribution problem of the original network for objects with approximate size. Second, we adjust the resolution ratio of the network output feature map to the original input image to reduce the label rewriting cases of training samples. Finally, the concept of repulsive force is introduced to optimize the bounding box regression loss function, which improves the robustness of the model to the detection of densely occluded pedestrians, and enhances the practical value of YOLO-V4 in actual application scenarios.
Few Shot POP Chinese Font Style Transfer using CycleGAN
Authors: Yu Yong
Published: January 2022

The new style design of Chinese fonts is an arduous task, because there are many types of commonly used Chinese characters and the composition of Chinese characters is complicated. Therefore, the style transfer of Chinese characters based on GAN has become a research hotspot in the past two years. This line of re-search is dedicated to using a small number of artificially designed new style fonts and learning the map-ping from the source font style domain to the target style domain. However, such methods have two problems: 1. The performance on pop (point of purchase) fonts with exaggerated and random style is not satisfying. 2. Plentiful manually designed fonts are still required. In order to solve the above problems, we propose a few-shot font style transfer model based on CycleGAN. It uses meta-knowledge to reduce the use of manually designed fonts and enables each character to fully learn the knowledge contained in all new style fonts to achieve satisfying pop font style transfer effect. We also construct a dataset based on commonly used 3500 Chinese characters and verify the effectiveness of our model.
SOMC:A Object-Level Data Augmentation for Sea Surface Object Detection
Authors: Hu Jianqiu , He Jiazhou , Jiang Pan , Yin Yuwei
Published: January 2022

The deep learning model is a data-driven model and more high-quality data will bring it better results. In the task of Unmanned Surface Vessel’s object detection based on optical images or videos, the object is sparser than the target in the natural scene. The current datasets of sea scenes often have some disadvantages such as high image acquisition costs, wide range of changes in object size, imbalance in the number of different objects and so on, which limit the generalization of the model for the detection of sea surface objects. In order to solve problems of insufficient scene and poor effect in current sea surface object detection, an object-level data augmentation for sea surface objects called SOMC is proposed. According to the different scenarios faced by the USV when performing autonomous obstacle avoidance, patrol and other tasks, SOMC generates suitable scenarios by mixing and copying targets conveniently, providing the possibility of unlimited expansion of the sea surface object. The experiment selected images in the video taken by the camera on top of the USV. A sufficient amount of comparative experiment prove that the SOMC integrates with existing excellent data augmentations and achieved an improvement in the detection effect, which proves the effectiveness and practicability of the SOMC in the perception task of the USV.
A Q-matrix Model Based on Binarized Neural Network
Authors: Li Jingjiang , Jiang Chong , Ye Shiwei
Published: January 2022

Q-matrix theory plays an important role in the field of cognitive diagnosis assessment. It is time-consuming and laborious for experts to define Q-matrix from a large number of data. In order to deal with this problem, this article comes up with a Q- matrix generation model based on binarized neural network. We combine the neural network with the Boolean operation relations of Q-matrix, A matrix and R matrix in item response theory, so that the model can mine Q-matrix more effectively.
Towards Electricity Price and Electric Load Forecasting Using Multi-task Deep Learning
Authors: Liu Yali , Chai Tingting , Zhang Zhaoxin , Long Gang
Published: January 2022

The continuous development of the power Internet of Things (IOT) has enabled power market participants to obtain a large amount of data. Simultaneously, the power IOT has an increasing demand for power load and electricity price forecasting; Since the forecasting of electricity load and electricity price is a single task, and the model calculation accuracy is not high, this brings great challenges to the accurate forecasting of electricity load and electricity price. In this paper, two power load and electricity price forecasting models via multi-task deep learning are established perform high-precision joint forecasting of power load and electricity price Experimental results demonstrate that the prediction results of the proposed deep learning models are superior to the other compared approaches in terms of the main task and the auxiliary task, and show superior prediction performance, verifying the practicability and superiority of the power load and electricity price multi-task forecasting model.
A Survey of Entity Alignment of Knowledge Graph Based on Embedded Representation
Authors: Huang Jing , Wang Jiaqi , Li Yahui , Zhao Wenbin
Published: January 2022

This paper summarizes the main methods of knowledge representation learning. Representation learning represents the entity information of the knowledge graph as a low dimensional vector. Its vector dimension is low, which helps to improve the computational efficiency and make full use of the semantic information between entities. In order to embed two KGs into a unified semantic space, joint embedding is used to achieve this goal. With the development of research, there are many improved embedding methods, such as iteration, multi view embedding, knowledge graph entity alignment based on graph neural network and so on.
Short-term Traffic Flow Forecast on Basis of PCA- Interval Type-2 Fuzzy System
Authors: Qu Zhengyang , Li Jun
Published: January 2022

According to the time series of urban traffic flow, a prediction method on basis of type-2 fuzzy logic is proposed under the theoretical framework of fuzzy logic. The prediction model of the interval type-2 fuzzy system is established, and the BP algorithm is used to adjust the coefficients of the antecedent and consequent of fuzzy rules. In this paper, the algorithm is verified by the measured data of road network, and compared with other fuzzy methods, BP algorithm and support vector machine (SVM) According to the experimental data that type-2 fuzzy logic system has higher prediction accuracy.
Realization of an Adaptive Test Paper Generation Function based on DPC Algorithm
Authors: Dong Na , Zhang Rui , Han Hui , Xu Baoxi , Han Jingjing , Ma Xin
Published: January 2022

Before COVID-19, although the online assessment platform has developed, it is relatively slow, and people prefer to organize on-site examinations. After the outbreak of the epidemic, people realize the urgency and necessity of information construction in all walks of life. More and more researchers begin to pay attention to and explore the use of advanced machine learning methods to improve the practicability of online examinations platform. The test paper generation function is the core link, and a good test paper generation function can ensure the quality of a test paper. In this paper, an advanced unsupervised algorithm DPC(Clustering by Fast Search and Find of Density Peaks) is used to conduct deep mining and test paper generation adaptive based on the question bank and historical assessment such as assessment frequency, accuracy or score rate, and a more reasonable test paper generation function is realized. By comparing and testing the experimental results, it can be proved that the idea is correct and feasible.
Research on Visual Odometer of Wheeled Robot with Motion Constraints
Authors: Chenggong Wang , Gen Li , Xi Wang , Youyi Zhang
Published: January 2022

In this paper, aiming at the planar motion characteristics of wheeled robots, the Red Green Blue Depth Camera (RGBD camera) was used as an image acquisition device to reduce the motion of wheeled robots to two-dimensional plane processing, which simplified the calculation method of visual mileage of planar wheeled robots. In addition, according to the two-dimensional motion characteristics of the robot camera, the contour constraint condition of feature point matching between frames was proposed, and the linear constraint condition was proposed by linearizing the motion equation of the camera between frames. The research showed that the contour constraint condition and linear constraint condition could be used to screen the mismatched feature points, this condition could not only screen the mismatched point pairs of color images, but also screen the matching point pairs with correct color image matching but large depth error, which provided high quality matching point pairs for inter-frame motion estimation of visual odometer. Finally, the filtered matching point pairs were reduced in dimension and combined with the two-dimensional Iterative Closest Point (ICP) algorithm to estimate the trajectory of the robot camera. The experimentation results showed that compared with the original three-dimensional ICP algorithm, the combination of contour constraint condition, linear constraint condition and two-dimensional ICP algorithm could significantly improve the computational speed of visual odometry.
Research on Position Recommendation System Based on Convolutional Neural Network
Authors: Li Yuan , Ning Guangjian , Zhang Haoxi
Published: January 2022

It is tough to find the perfect position that matches job hunters’ skills and salary levels in many positions. The traditional job recommendation systems are usually based on the keywords entered by the job seeker to get a job list. However, it is difficult for job-seekers to find their favorite positions the fastest among the vast number of positions. The advent of recommender systems makes this tedious process simple. In this article, we propose a new algorithm that combines the emerging TextCNN algorithm with collaborative filtering. Our method can more fully consider the skills and realization of job seekers and is better than just using TextCNN recommendation or just collaborative filtering. Our method can help job seekers quickly find a job that perfectly matches their skills after inputting their skills.
Additive Noise Model Structure Learning Based on Spatial Coordinates
Authors: Yang Jing , Zhu Youjie , Wang Aiguo
Published: January 2022

A new algorithm named SCB (Spatial Coordinates Based) algorithm is presented for structure learning of additive noise model, which can effectively deal with nonlinear arbitrarily distributed data. This paper makes three specific contributions. Firstly, SC (Spatial Coordinates) coefficient is proposed to use as a standard of independence test and CSC (Conditional Spatial Coordinates) coefficient as a standard of conditional independence test. Secondly, it is proved that the CSC coefficient conforms to the standard normal distribution and the HSIC independence test can be regarded as a special case of the SC coefficient. Finally, based on the SC coefficient, the SCB algorithm is proposed, and the experimental comparison with some existing algorithms on seven classical networks shows that the SCB algorithm has better performance. In particular, SCB algorithm can deal with large sample, high dimensional nonlinear data, and maintain good accuracy and time performance.
The LSPE-Strip beams
Authors: Realini S. , Franceschet C. , Villa F. , Sandri M. , Addamo G. , Alonso-Arias P. , Bersanelli M. , Cuttaia F. , Jones M. , Maris M. , Mena F.P. , Mennella A. , Molina R. , Morgante G. , Tomasi M. , Zannoni M.
Published: January 2022

In this paper we describe the design and characterization of
the optical system of LSPE/Strip, a coherent polarimeter array that
will observe the microwave sky from the Teide Observatory in
Tenerife in two frequency bands centred at 43 and 95 GHz through a
dual-reflector crossed-Dragone telescope of 1.5 m aperture. In
general, optical systems composed by a telescope-feed array assembly
have non-idealities that might limit their ability to perform
high-precision measurements. It is thus necessary to understand,
characterize and properly control these systematic effects. For
this reason, we performed electromagnetic simulations to
characterize angular resolution, sidelobes, main beam symmetry,
polarization purity and feedhorns orientation. The results
presented in this paper will be an essential input for further
optical studies and for the LSPE/Strip data analysis. Ultimately,
they will be used to assess the impact of optical systematic effects
on the scientific results.
RF design and tuning of a deuteron RFQ for detecting impurity deposition on a tokamak
Authors: Liu S. , Bai Q. , Wei Y.X. , Lu Y.R. , Wang Z. , Han M.Y. , Li H.P. , Tan Q.Y. , Wei T.H. , Xia Y. , Zheng P.F.
Published: January 2022

Peking University and Southwestern Institute of Physics are
jointly developing a new deuteron Radio Frequency Quadrupole (RFQ)
accelerator to study the migration and deposition of impurities on
the first wall of a tokamak facility. The RFQ operates at 162.5 MHz
with the duty factor of 1%, which can accelerate 10 mA deuteron
beam from 40 keV up to 1.5 MeV within 2.2 m length. Such
four-vane RFQ is divided into two segments and equipped with 40
tuners in total. In the electromagnetic (EM) design, the dipole
stabilizer rods (DSRs) were optimized to obtain a mode separation of
3.1 MHz. The tuners and undercuts were also designed and optimized
to fulfill the requirements of the resonant frequency, flat
longitudinal field distribution and field tuning. Following the EM
design, multi-physics analysis and structure error analysis was
carried out. The cavity was fabricated with 99.9% oxygen-free
electronic (OFE) copper. The assembly and braze of each RFQ module
have been completed, the results of metrological measurements via
coordinate measuring machine (CMM) indicate that there was no
unexpected deformation. The intrinsic Q-value of the whole cavity is
12834 in the low level radio frequency (RF) measurements, which is
87% of the theoretical simulation with electrical conductivity of
5.8 × 107 S/m. After tuning, the quadrupole perturbative
component decreased from 2.6% to 0.6%, and the dipole perturbative
components decreased from 6.1% to 1%.
Brazil's Iguaçu National Park threatened by illegal activities: Predicting consequences of proposed downgrading and road construction
Authors: Prasniewski Victor Mateus , Szinwelski Neucir , Bertrand Anne Sophie , Martello Felipe , Brocardo Carlos Rodrigo , Cunha Juan , Sperber Carlos Frankl , Viana Raquel , dos Santos Bruna Gava , Fearnside Philip , Sobral-Souza Thadeu
Published: January 2022

The spectacularly biodiverse Atlantic Forest of South America has been reduced to fragmented remnants. The largest remaining inland fragment is protected by national parks on either side of the iconic Iguassu Falls on the border between Brazil and Argentina. Biodiversity in the parks has been under pressure from illegal activities such as commercial hunting, fishing and extraction of palm hearts. A proposed road through Brazil’s Igua\c{c}u National Park now further threatens the area’s biodiversity by further dividing the forest fragment and by increasing access by illegal actors. Here we analyze spatial data on illegal activities and develop a niche-based model to predict the impact of the proposed Caminho-do-Colono road. The model shows the significant increases that this road would provoke in susceptibility to illegal activities such as fishing (median 0.009 to 0.101), palm-heart extraction (median 0.087 to 0.260) and poaching (median 0.324 to 0.334). The road proposal includes downgrading the protected status of a portion of the park, which reflects a worldwide pattern of downsizing, downgrading and degazetting protected areas that is particularly evident in Brazil.
Shrimp pond suitability index (SPSI) in the north coast of Sumenep Regency
Authors: Ferdiansyah D , Darmawan A K , Wahyurini E T , Sugiono S
Published: January 2022

Utilization of coastal areas for aquaculture in the Regency is currently starting to increase and exceed the allotment of space in coastal areas. However, some ponds change the mangrove ecosystem and do not ignore the environmental impact. Shrimp production is currently still below the environmental carrying capacity which can still be increased. The objectives of this study were: to analyze the land suitability of traditional, semi-intensive, and intensive shrimp ponds that meet the criteria of land suitability and environmental carrying capacity, and to formulate priorities for environmentally friendly alternative aquaculture technologies. This study uses a field survey to analyze the socio-economic community and land use through interviews with ten cultivators and business actors spread across four coastal districts. The research resulted in an analysis of the sustainability indicators of shrimp farming in the coastal area of Sumenep Regency. This research contributes to policy makers and the community to pay more attention to the sustainability indicators of shrimp farming in coastal areas.
Microplastic abundance in sea cucumber at seagrass ecosystem of Bintan Island and surrounding area, Indonesia
Authors: Idris F , Febrianto T , Hidayati J R , Rajib  , Nugraha A H
Published: January 2022

The increasing use of plastic in various aspects of life impacts the increase in plastic waste in the environment. The plastics are degraded into the smallest fragments to a size of <5 mm called microplastics. Further, microplastics will accumulate in the water, marine biota, and sediment. Sea cucumbers are deposited feeder and found in the seagrass ecosystem. This study aims to examine the abundance of microplastics in sea cucumbers, which are scattered in seagrass ecosystems in the waters of Bintan Island and the surrounding area. The method used is a purposive random sampling in a seagrass ecosystem area of 100 × 20 meters. The sea cucumbers obtained will then be dissected and observed for their microplastic content. The results showed that the sea cucumber found in the seagrass ecosystem on the Bintan island are Holothuria atra, H. scabra, and Sticopus variegatus. The highest density of sea cucumbers was found in Pengujan waters, with a value of 90 ind/ha. The highest microplastic content in sea cucumbers was found in Pengudang water, with a total of 52 ± 7.68 particles/ind. The dominant type of microplastics is fiber, with a total of 84 particles/ind.
Index of environmental pollution and adaptation of Avicennia marina around the ex-bauxite mining area in Bintan Island
Authors: Azizah D , Lestari F , Susiana  , Kurniawan D , Melany W R , Apriadi T , Murtini S
Published: January 2022

Bintan Island has high bauxite resource potential. However, its utilization is not balanced with efforts to restore ex-mining land. Physical damage includes erosion and sedimentation of red mud along the coast and the surrounding mangrove forest. This study aims to determine environmental pollution based on the accumulation of lead (Pb) and chromium (Cr) in redmud found in mangrove forests around the bauxite ex-mining area and the adaptation of Avicennia marina to heavy metals. This research was conducted from April to December 2020. Research survey and laboratory analysis using Atomic Absorban Spectrophotometry. The results showed that Pb in the sediments and organs of A. marina was higher than Cr. The results showed that the mangrove forest around the bauxite ex-mining area of Bintan Island was contaminated with low levels of Pb and Cr metals (CF<1, PLI<1) and the environment is lightly polluted (0<Igeo<1). Adaptation of A. marina showed that the metal uptake mechanism was rhizofiltration (BCF<1, TF<1, BCF 0.05).
In silico analysis of Gracilaria changii proteins for potential bioactive peptides
Authors: Sharmin K N , Amiza M A , Ahmad F , Razali S A , Hashim F
Published: January 2022

Gracilaria changii is a red seaweed species in Malaysia with high protein content (12.57% (dry basis)). Thus, G. changii proteins are potential precursors for producing bioactive peptides. To date, no study has been reported on the potential of G. changii proteins as potential precursors for bioactive peptides. In this study, fourteen G. changii proteins were selected as potential precursors of bioactive peptides using in silico approach. It was found that the most potential bioactivity was dipeptidyl peptidase-IV (DPP IV) inhibitory and angiotensin-I converting enzyme (ACE) inhibitory activities. Papain, ficin and stem bromelain were used for in-silico proteolysis. Stem bromelain was found to be more effective in terms of the release of fragments with a given activity. Furthermore, two tripeptides (ACF and YCL) were screened as novel and promising bioactive peptides. The characteristics of both peptides were also analyzed using PeptideRanker, PepCalc, Peptide Cutter, ToxinPred, AllerTop and AHTpin bioinformatic tools. The bioinformatic tools predicted that both peptides were non-toxic, non-allergen and highly potential. The present work suggests that G. changii can serve as a potential source of bioactive peptides and these findings can provide a basis for future in-vitro and in-vivo study of bioactive peptides from G. changii proteins.
The abundance of coral disease and compromise health in Sabu Raijua Waters, East Nusa Tenggara
Authors: Johan O , Idris
Published: January 2022

Coral die-offs can be caused by several factors, one of which is the infectious coral disease. Currently, limited data and information are available regarding coral diseases abundance and distribution in Indonesia including Sabu Raijua waters, East Nusa Tenggara. This research aimed to investigate the types and abundance of coral disease and determine the compromise health condition on 12 sites in Sabu-Raijua waters on Sawu Marine National Park. The research showed coral conditions varied from bad to poor. There were eight coral disease types, the highest abundance found atromentous necrosis (0.12 col/m2) in station 11 (Menia 1), and nine compromise health with the highest number of CH types was found at station 12 with its abundance from 0.02 to 0.33 col/m2. The disease abundance were classified as low on the sites, no evidence due to environmental factors. However, a regular survey has to be carried out in the area to monitor the progress and incidence of the coral diseases and measure their future impacts on the coral reef ecosystem of the national park.
Antioxidant capacity of dry sea cucumber Holothuria edulis, Pearsonothuria graeffei, and Stichopus herrmanni from Boalemo waters, Gorontalo, Indonesia
Authors: Nursid M , Hadiati D A , Winanto T
Published: January 2022

Sea cucumber was a marine invertebrate from class Holothuroidea and phylum Echinoderm that possessed various bioactive compounds. This study aimed to estimate the antioxidant properties of sea cucumbers and evaluate their antioxidant ability. Ferric Reducing Antioxidant Power (FRAP) and Cupric Reducing Antioxidant Capacity (CUPRAC) assay estimated the antioxidant properties of sea cucumbers, and for control, ascorbic acid and Trolox were used. The samples were dried sea cucumber of Holothuria edulis, Pearsonothuria graeffei, and Stichopus herrmannii from Boalemo, Gorontalo. The three samples had various antioxidant capacities. H. edulis had the highest value, both in FRAP and CUPRAC assay, followed by P. graeffei and S. herrmanni. The FRAP values were 48.47; 28.32; and 11.95 μmol Fe(II), respectively and the CUPRAC values were 6.5; 5.9; and 1.49 μmol Trolox/g extract. The weak antioxidant properties of sea cucumber extract in both methods were most likely related to the absence of phenolic compounds which usually have OH groups and conjugated double bonds. Separation and purification of the crude extract may improve its antioxidant properties. Based on this research, it can be concluded that the antioxidant capacity of H. edulis, P. graeffei, and S. herrmanni using the FRAP and CUPRAC method was weak.