bluuebunny/crossref_metadata_2025_split huggingface dataset:
BOCC: A new modulation based on chirp subcarriers for future BeiDou LEO navigation‐augmented signal
Authors: Zhao Xin , Huang Xinming M. , Sun Guangfu F. 
Published: December 2020

AbstractFor improving the anti‐interference performance and compatibility of a navigation‐augmented signal in future BeiDou Global Navigation Satellite Systems, a new modulation based on chirp subcarriers is proposed, named binary offset chirp carrier modulation, which is formed by multiplying a periodic binary chirp subcarrier with a spreading code signal. And it can make use of the time‐varying frequency for shaping the spectrum and have superior performance in anti‐interference, similar advantage in tracking accuracy, anti‐multipath capability and compatibility compared with binary offset carrier modulations. The binary offset chirp carrier modulations proposed in this paper provide a potential signal design for the future low earth orbit (LEO) navigation‐augmented Global Navigation Satellite Systems.
Muscle fatigue analysis in biceps brachii surface electromyography signals using synchrosqueezed Morlet wavelet and singular value decomposition
Authors: Hari Lakshmi M. , Venugopal G. , Ramakrishnan S. 
Published: December 2020

AbstractMuscle fatigue during isometric contraction of biceps brachii is analysed using synchrosqueezed continuous wavelet transform with Morlet wavelet and singular value decomposition (SVD) features. The recorded surface electromyography signals are decomposed to time frequency matrix using Morlet wavelet and the characteristics are extracted using singular value features such as maximum singular value and zero crossing frequency. The percentage difference in feature values for each segment with the progression of fatigue is calculated. Results show that the recorded signals are complex, non‐stationary, multicomponent, and random in nature. Maximum singular value represents the non‐stationarity of a signal, with an increasing trend towards the fatigue condition. Zero crossing frequency represents the complexity or randomness in the signals and it decreases with the progression of fatigue. It is found that both the features are statistically significant with p < 0.01. It appears that the synchrosqueezed continuous wavelet transform and singular value features are able to analyse fatigue in surface electromyography signals.
Privacy‐preserving evaluation for support vector clustering
Authors: Byun J. , Lee J. , Park S. 
Published: December 2020

AbstractThe authors proposed a privacy‐preserving evaluation algorithm for support vector clustering with a fully homomorphic encryption. The proposed method assigns clustering labels to encrypted test data with an encrypted support function. This method inherits the advantageous properties of support vector clustering, which is naturally inductive to cluster new test data from complex distributions. The authors efficiently implemented the proposed method with elaborate packing of the plaintexts and avoiding non‐polynomial operations that are not friendly to homomorphic encryption. These experimental results showed that the proposed model is effective in terms of clustering performance and has robustness against the error that occurs from homomorphic evaluation and approximate operations.
Fusion of semantic and appearance features for loop‐closure detection in a dynamic environment
Authors: Xu Yan , Huang Jiani 
Published: December 2020

AbstractLoop‐closure detection is important in large‐scale localisation system. However, it is still difficult in a dynamic environment. An online fast loop‐closure detection algorithm based on Deeplabv3 with MobileNetV2 (DpMn2) as network backbone and local difference binary descriptor is proposed, and the algorithm is named as DpMn2‐LDB. DpMn2 splits out common dynamic objects of images, and then uses visual geometry group network (VGG16) that is trained on place‐centric data to extract global features for nearest neighbour image retrieval. The loop‐closure matches are verified based on LDB descriptors and random sample consensus (RANSAC). Experimental results show that the proposed method can obtain a higher recall rate under 100% precision with less execution time per frame on several public datasets compared with other typical or state‐of‐the‐art algorithms.
Face recognition based on adaptive margin and diversity regularization constraints
Authors: Zhang Zhemin , Gong Xun , Chen Junzhou 
Published: December 2020

AbstractIn recent years, a more robust facial feature can be learned by convolutional neural networks once introducing margins into loss functions. Those methods set a margin for each class manually to squeeze the intra‐class variations within each class equally. However, the internal feature distributions of different persons in the real world are highly unbalanced, and the distance between different identities is not uniform either. As a result, applying the same margin on all classes might not lead to higher inter‐class differences. To address this problem, this paper proposes an adaptive margin based on feature distribution to squeeze the feature interior spaces of different classes. Simultaneously, because the inter‐class margin can adequately represent the distribution of different classes in the feature space, this paper proposes a novel diversity regularization method. The regularization weights of each class are dynamically set depending on their margins. This method proposed in this paper is intuitively interpretable and can be easily applied to other classification scenarios. Experiments on current existing benchmarks have demonstrated the superiority of our method over state‐of‐the‐art competitors.
High‐performance traffic speed forecasting based on spatiotemporal clustering of road segments
Authors: Zhang Zhengchao , He Fang , Lin Xi , Wang Yinhai , Li Meng 
Published: December 2020

AbstractTraffic speed prediction is an indispensable element of intelligent transportation systems. Numerous studies have devoted to high‐precision prediction models. However, most existing methods implement the link‐wise or network‐wide input. The former is time‐consuming especially for large‐scale applications, while the latter may incur the dilemma of underfitting owing to the heterogeneous traffic states within the entire network. Herein, we propose a novel prediction scheme based on spatiotemporal traffic pattern clustering. Firstly, road segments are partitioned into several groups via the developed clustering approach, which considers both the observed data sequence and spatial topology structure. Subsequently, sequence‐to‐sequence learning architecture is employed for each group to generate predictions for the entire traffic network. Validated by a real‐world dataset in Beijing, our proposed paradigm offers a significant improvement over other well‐known benchmarks for various prediction intervals in terms of prediction accuracy and computational efficiency.
Construction of α-Alkylated Amines by Iridium Complex-Catalyzed One-Step Transfer Hydrogenation of C=C and C=N Bonds
Authors: Luo Renshi , Xia Yanping , Ouyang Lu , Liao Jianhua , Yang Xiao 
Published: December 2020

AbstractHydrogenation of C=C bond and reductive amination are important transformations utilized in chemistry. An environmentally friendly, efficient, and facile one-pot transfer hydrogenation of C=C bond of enones and reductive amination of C=N bond of imines are reported using iridium complex as catalysts and formic acid as hydrogen source in aqueous medium. In this catalytic system, a wide range of α-alkylated amines were obtained in excellent yields by one-pot transfer hydrogenation of C=C bond and reductive amination. The practical application of this protocol is characterized by gram-scale transformation.
Single Stage Nasal Reconstruction in a Near Total Nasal Defect
Authors: Brajesh Vimalendu , Aggarwal Aditya , Singh Sukhdeep , Vora Vishal , Rana Kanika 
Published: December 2020

Abstract
Reconstruction of nasal defect is difficult and challenging. A full-thickness defect of nose requires reconstruction of thin inner lining, middle skeletal (bony/cartilaginous) support, and outer skin layer cover. Large full-thickness defects of nose require complex multistage reconstruction to achieve good functional and aesthetic result. We present here a case of 12-year-old boy, a known case of xeroderma pigmentosa, who underwent wide local excision for squamous cell carcinoma of the nose, leaving a near total defect of the external nose. The reconstruction was done with a suprafascial, thin radial artery forearm free-flap for the external cover as well as the inner lining along with the septal cartilage graft for skeletal support in a single stage.
Hylocereus undatus (dragon fruit).
Authors: Rojas-Sandoval Julissa , Praciak Andrew 
Published: December 2020

Abstract

Hylocereus undatus is a vine-like cactus that is often grown as a night-flowering ornamental plant and as a fruit crop. The fruit is highly decorative, with a bright red skin, studded with green scales. The flesh is white, juicy and delicious in flavour, with tiny black seeds. Its exact native range is uncertain but is considered to be in Central America. Since the late twentieth century it has been widely planted on a commercial scale as a fruit crop in many tropical regions, particularly in Vietnam and other South-East Asian countries, and has escaped widely from cultivation, become naturalized and in many instances become an invasive weed, sometimes threatening native plants and habitats. Currently it is listed as invasive in China, Australia, South Africa, Cuba, and on many islands in the Pacific Ocean (Oviedo Prieto et al., 2012; PIER, 2016 <datasheet/27317 >; Queensland Government, 2016 < datasheet/27317 >).
Linearizing a non-linear formulation for general relativistic dissipative fluids
Authors: Celora T , Andersson N , Comer G L 
Published: December 2020

Abstract
Fully non-linear equations of motion for dissipative general relativistic multi-fluids can be obtained from an action principle involving the explicit use of lower dimensional matter spaces. More traditional strategies for incorporating dissipation—like the famous Müller–Israel–Stewart model—are based on expansions away from equilibrium defined, in part, by the laws of thermodynamics. The goal here is to build a formalism to facilitate comparison of the action-based results with those based on the traditional approach. The first step of the process is to use the action-based approach itself to construct self-consistent notions of equilibrium. Next, first-order deviations are developed directly on the matter spaces, which motivates the latter as the natural arena for the underlying thermodynamics. Finally, we identify the dissipation terms of the action-based model with first-order ‛thermodynamical’ fluxes, on which the traditional models are built. The description is developed in a general setting so that the formalism can be used to describe multi-fluid systems, for which causal and stable models are not yet available. As an illustration of the approach, a simple application of a single viscous fluid is considered and, even though the expansion is halted at first order, we sketch how a causal response can be implemented through Cattaneo-type equations.
Lessons from conformally reduced quantum gravity
Authors: Knorr Benjamin 
Published: December 2020

Abstract
In this work we study a significantly enlarged truncation of conformally reduced quantum gravity in the context of asymptotic safety, including all operators that can be resolved in such a truncation including up to the sixth order in derivatives. A fixed point analysis suggests that there is no asymptotically safe fixed point in this system once one goes beyond an Einstein–Hilbert approximation. We will put these findings into context and discuss some lessons that can be learned from these results for general non-perturbative renormalisation group flows.
Approaching detachment in I-mode—response of core confinement and the edge pedestal in the ASDEX Upgrade tokamak
Authors: Happel T. , Reinke M.L. , Silvagni D. , Bernert M. , Grover O. , Hennequin P. , Hubbard A.E. , Plank U. , Trier E. , Brida D. , David P. , Fischer R. , Gil L. , Höfler K. , Manz P. , McDermott R.M. , Merle A. , Stroth U. , Viezzer E. , Willensdorfer M. , the ASDEX Upgrade Team  , the EUROfusion MST1 Team  
Published: December 2020

Abstract
Experiments on nitrogen assisted divertor detachment in the improved energy confinement mode (I-mode) are reported from the ASDEX Upgrade tokamak. When nitrogen is introduced into the divertor and radiation losses cool the divertor plasma down, a loss of core confinement is observed, concomitant with an increase in low frequency edge fluctuation levels. The loss in confinement can be compensated and the I-mode can be maintained by additional heating power input. Detachment of the inner divertor leg has been observed for the first time in an I-mode discharge. The outer divertor leg remains attached in these experiments. Good energy confinement properties (H
98(y, 2) = 0.9) during the detachment of the inner divertor leg are reported.
Integrated modeling of CFETR hybrid scenario plasmas
Authors: Chen Jiale , Chan Vincent S. , Jian Xiang , Zhang Xinjun , Ren Qilong , Li Guoqiang , Zhou Chengxi , CFETR Physics Team  
Published: December 2020

Abstract
Demonstration of DEMO relevant fusion power (P
fus) level and tritium self-sufficiency are two important goals of the China fusion engineering testing reactor (CFETR). In this work the integrated modeling including self-consistent core–pedestal coupling are used to design the hybrid scenario plasmas at flat-top phase for these goals. Such plasmas have been taken as the reference plasma for studying the compatibility of the hybrid scenario with CFETR engineering design in the past two years. The physics justification for the selection of plasma density, Z
eff, safety factor profile, and in particular the choice of auxiliary heating and current drive is presented. According to a scan of plasma density and Z
eff, the target of P
fus ≈ 1 GW and finite ohmic flux consumption ∆Φohm (4 h) ⩽ 250 Vs can be met with Z
eff = 1.9–2.2 and the density at the pedestal top set at 90% of the Greenwald limit. Turbulent transport analysis using the gyro-Landau-ﬂuid model TGLF shows that the electromagnetic effects can enhance the energy confinement but reduce the particle confinement and thus P
fus. A baseline hybrid scenario case matching the target in the concept design is built using a combination of neutral beams (NB) and electron cyclotron (EC) waves to flatten the safety factor profile in the deep core region (with the normalized plasma radius ρ ⩽ 0.4). Such profile can yield better particle and energy confinement than that with either higher magnetic shear in the deep core region or higher q value in outer core region (e.g., due to the addition of lower hybrid current drive). Switching a part of auxiliary heating from electron to ions, e.g., replacing a part of EC waves by waves in the ion cyclotron range of frequencies, reduces the particle confinement and thus P
fus. Since high harmonic fast waves (HHFW) can drive current at the same location as ECCD with higher current drive efficiency than ECCD and yield more electron heating than NB, the case using HHFW to replace a part of EC waves and NB can yield higher P
fus and lower ∆Φohm than the baseline case. A discussion is given on future simulations to explore the improvement in plasma performance and the broadening of the feasible design space.
The achievement of competency standards for machining graduates
Authors: Munadi S , Choiron Z , Harjanto C T , Ardhantano R 
Published: December 2020

Abstract
This study aims to determine the achievement of competency standards of graduates in the fields of lathe machining, milling machining, grinding machining, CNC machining at Piri 1 Yogyakarta Vocational High School. This study uses a descriptive method with a quantitative approach. The subjects of this study were teachers and students of class XII of the engineering technique of Piri 1 Yogyakarta Vocational High School. The data collection technique used a questionnaire and documentation. The data analysis technique used is descriptive statistical analysis. Based on the results of the research, it is known that the achievement of the competency standards of lathe machining graduates is in the excellent category with an average value of 82.51 and the results of the questionnaire show the excellent category The achievement of competency standards for milling machining graduates was in the excellent category with an average score of 84.74 and the results of the questionnaire showed an excellent category. The achievement of the competency standard of grinding machining graduates is in the excellent category with an average score of 80.42, and the results of the questionnaire show an excellent category. The achievement of competency standards for CNC machining graduates is in the excellent category with an average score of 77.81, and the results of the questionnaire show an excellent category.
Linguistic verbal intelligence in welding practice lectures
Authors: Djatmiko R D , Wibowo Y E , Marwanto A 
Published: December 2020

Abstract
This study aims to determine student linguistic intelligence, the level of student linguistic intelligence, and measure the relationship between linguistic intelligence and learning outcomes of welding practice lectures in the Undergraduate Program of Mechanical Engineering Education, Faculty of Engineering, Yogyakarta State University. The method used is a survey. The research was carried out in the Undergraduate Program of Mechanical Engineering Education, Faculty of Engineering, Yogyakarta State University. The research was conducted from April to July 2020. The research subjects were students of the 2018 batch of Undergraduate Program of Mechanical Engineering Education, Faculty of Engineering, Yogyakarta State University. The research variables are students’ linguistic intelligence (independent) and the learning outcomes of welding practice lectures (dependent). The results showed that the students’ verbal-linguistic intelligence was at an average value of 72.01%. 7.79% or as many as 6 students made verbal-linguistic intelligence the highest score compared to other intelligence. The significance value (Sig.) Is 0.450 and greater than 0.05, so it can be concluded that Ha is rejected, and H0 is accepted, that is, there is no significant influence between the verbal-linguistic intelligence of students (X) on student learning outcomes of welding practice (Y). The value of R Square is 0.009, which means that the effect of verbal-linguistic intelligence on students (X) on the learning outcomes of students in the Undergraduate Program of Mechanical Engineering Education, Faculty of Engineering, Yogyakarta State University (Y) is only 0.9% while 99.1% is influenced by other variables.
Development of bamboo handicraft product from Brajan Sendanggung Minggrir Sleman
Authors: Paryanto  , Nurhayati I , Indartono S 
Published: December 2020

Abstract
The targets of this activity are small and medium enterprises (SME) Prinx Mas and Pring Gedhe. This activity’s main objectives are to improve the quality and quantity of products, increase the comfort level of owned facilities/facilities, and increase the product marketing network. The method used is by implementing technology assistance activities as well as training and mentoring. Technology assistance in the form of production equipment, arrangement of the showroom, updating the website and enhancing partners’ capabilities by providing various training and mentoring. The technology equipment provided to partners is a multi-functional grinding machine and drying oven. Meanwhile, the training held was training on the fabrication process and training in drafting contract drafting. The results that have been achieved are (1) Prinx Mas SME experienced an increase in productivity by 11%, an increase in assets by 4.5%, and an increase in turnover by 8.75%; (2) Pring Gedhe SME experienced an increase in productivity by 8.8%, an increase in assets by 4.8%, and an increase in turnover by 7.3%.
Implementation of the blended learning approach in lathe machining learning
Authors: Purwoko B S H , Sukardi T , Rahdiyanta D , Harjanto C T , Saputra D 
Published: December 2020

Abstract
The purpose of this research is to conduct an empirical study to analyze the influence of the aspects related to the application of the blended learning approach and individual student characteristics, especially origin school, on learning outcomes of Lathe Machining. This research is a Quasi Experiment using the Treatment by Level design. The research data analysis was conducted using 2-way ANOVA with one treatment variable and one attribute variable. This research was conducted at the Machining Workshop, Department of Mechanical Education, Faculty of Engineering, Universitas Negeri Yogyakarta. The results of this study indicate; 1) The learning outcomes of students who take learning using the Blended Learning approach are higher than students who take learning using the conventional approach; 2) There is an interaction effect between the learning approach and the origin of the school on learning outcomes of Lathe Machining; 3) The learning outcomes of students from vocational high schools who take blended learning approach are higher than students from vocational schools who take conventional approaches; 4) The learning outcomes of senior high school students who take learning with the blended learning approach are not different from those from vocational high school students who take the conventional approach.
Braking and acceleration mapping control for autonomous overtaking to avoid fatality crash in undivided road
Authors: Sumarli  , Harly Muchammad , Marji  
Published: December 2020

Abstract
Autonomous vehicle control needs two essential algorithms, the first path planning, it covers either finding vehicle subject position and destination point and environment identification to avoid obstacle within tailgating, lane change and overtaking. The second to be tracking control to realize drive, brake and steering action based on complexity of path planning. This research contribute to a path planning for unidirectional and bidirectional on non-lane undivided roads overtaking.It need to be designed and investigated the desired acceleration of vehicle subject for tailgating and overtaking vehicle object 1 in front and has same direction without crash with vehicle object 2, what come front the opposite direction. The results of the investigation show that the desired acceleration of the subject vehicle can be properly mapped under condition of varied position, velocity and acceleration of overtaken vehicle object 1 and vehicle object 2. The maximum desired acceleration was eliminated by consideration of critical rolling and sliding velocity of vehicle subject. The acceleration mapping can be used for safety overtake planning.