bluuebunny/crossref_metadata_2025_split huggingface dataset:
Road vehicles Cybersecurity system evaluation method
Authors: Shan Hao , He Kexun , Wang Baizheng , Fang Xiyu 
Published: August 2020

Abstract
With the continuous improvement of automobile intelligence and networking, automobile cybersecurity has gradually become the focus of attention from enterprises and research institutions. Whether it is domestic or international, there are many organizations and institutions on the Internet of vehicles cybersecurity is widely concerned, ISO 21434 road vehicle network security project, is an international automotive network security standard, which covers the entire life cycle of automotive products (from design to retirement), is currently in the development. From the perspective of ISO 21434 cybersecurity system requirements, this paper proposes an cybersecurity system evaluation method for automobile companies, in order to evaluate whether or to what extent each automobile company meets the cybersecurity status of ISO 21434 standard.
IC Microscopic Image Stitching Based on Improved Line Matching
Authors: Li Zhibin , Yin Yong 
Published: August 2020

Abstract
Integrated Circuit(IC) microscopic image stitching is an important process in IC reverse engineering. However, IC is highly integrated and miniaturized, with many similar structures and dense distribution, and the overlapping region of some IC microimages may be the low-texture region. As a result, the traditional image stitching method is prone to mismatch, and the stitching effect is poor. This paper proposes an IC microscopic image stitching method based on improved line matching. The method first extract line segments from two IC microscopic images to be stitched by using Edline algorithm. Secondly, the intersection of line segments is generated by using the position relation of line segments in a certain strategy. Then, combined with the 2D capture method of the IC microscopic image, we limit the matching region. Finally, image registration is completed by combining points and lines, and a transformation matrix is obtained to stitch IC microimages. Experimental results demonstrate that the proposed method reduces the possibility of mismatching in the stitching process while using the stable line features and the position constraints between line segments in IC microscopic images. Moreover, the image stitching guided by line features can also achieve good stitching results in low-texture IC micrograph.
Research and Design of Navigation Interference Source Positioning System Based on Unmanned Aerial Vehicle
Authors: Dou Xiaojing , Liu Jing , Zhao Huakai , Wang Wei 
Published: August 2020

Abstract
Global Satellite navigation systems are widely used for their wide coverage and low operating costs. However, due to the use of MEO, IGSO and GEO satellites, the signal power received in land is low and susceptible to interference. Therefore, in order to ensure the normal use of GNSS, it is necessary to carry out research on the detection and positioning of navigation interference sources. In view of the problems of the existing ground interference source positioning equipments, such as weak maneuverability, small coverage, and high environmental dependence, this paper presents a design of a navigation interference source positioning system based on unmanned aerial vehicle(UAV), and researches its key technologies such as UAV trajectory planning. By carrying a direction-finding load on the UAV, interference sources can be located in the air. It has the advantages of strong maneuverability, large coverage, low environmental dependence, etc. It can quickly locate the interference source and is suitable for use in mountains, jungles and cities.
Solar interference test for flame detectors based on natural lighting
Authors: Zhong Chen , Liu Sen , Wang Heqiao , Ding Hongjun 
Published: August 2020

Abstract
In order to evaluate the anti-interference performance of the flame detector applied to the environment with possible solar interference, the feasibility of standardized test method for solar interference of flame detectors is researched in this paper. According to the characteristics such as structure, use place and installation mode of flame detector, the radiation model and illuminance model of solar interference are constructed. Through statistical analysis of photo-climatic data of regional representative cities, the severity level of the solar interference that reflecting national lighting conditions is summarized and classified. On this basis, data analysis of natural lighting resources of 8 typical cities in China is carried out. Combined with natural lighting test schemes, the feasibility of the solar interference test for flame detectors is analyzed, and relevant conclusions are drawn.
Identity-Based Proxy Signing Key Insulated Signature in the Standard Model
Authors: Chen Jianhong 
Published: August 2020

Abstract
The first signer arranges for an agent to generate a proxy private key using an identity based proxy signature (IBPS) scheme. The agent outputs the proxy signature for the first signer can generate the signature for the original signer using the proxy private key. Because the potential problem of information security must be taken into account with the development of network technology, the proxy private key needed to be protected. We propose an identity-based proxy signing key-insulated proxy signature (IBPSKIPS) scheme to prevent the proxy private key from being exposed.
A Fusion Algorithm of Multi-model Pruning and Collaborative Distillation Learning
Authors: Liu Zihan , Shi Zhiguo 
Published: August 2020

Abstract
In order to improve the prediction performance, the complex depth network model needs a large number of calculation parameters, and the negative impact is the fact that it greatly increases the calculation time and energy consumption. In this paper, a fusion algorithm of model pruning and joint multi-model knowledge distillation learning is proposed. By constructing an adaptive joint learning loss function including distillation, multi-model training is carried out. This method can replace the training process of model fine-tuning after pruning. In this paper, firstly, multi classification tasks are carried out on different model structures and data sets, and a complex network model with good effect is trained as a teacher’s model. Then, the channel pruning process of random pruning degree is executed to generate multiple student models. Finally, the accuracy of multiple student models is improved by using this method. The experimental results show that this method effectively improves the accuracy of each model after pruning, and the experimental results achieve a suitable balance between model performance and accuracy.
Establishment of sports health model for college students based big data
Authors: Jingjing Shen , Hangqi Jang , Jingjing Zhang 
Published: August 2020

Abstract
In recent years, China’s science and technology has developed rapidly. The coverage of communication networks is gradually expanding. This article understands the basic health status of college students through big data statistics. Excessive reliance on the Internet and electronic products make many college students unwilling to leave the dormitory and step into the playground to exercise. This article establishes a sports health model based on the health status of female college students, and provides design basis for later college student health model system according to the model. It takes weight as a measurement standard, and analyzes from the aspects of calorie absorption and consumption. Then it can get the required value through programming. Under the premise of not harming the body, the article makes a reasonable exercise plan for college students by controlling calories absorbed, exercise methods and exercise time per week. It aims to achieve the goal of reducing weight and maintaining physical health.
Comparison on the Security of Biometrics
Authors: Ye Huichao , Pei Roy , Mo Zongyin , Zheng Qingmin , Chen Huanzhong 
Published: August 2020

Abstract
With the increasing requirements for public safety in modern society, the traditional authentication method is far from meeting the needs of protecting human safety. The biological features represented by human face, iris, veins, voiceprint, etc. play an increasingly important role in identity recognition, and are relatively found and get more attention. This article compares the advantages and disadvantages of the three biometric recognition technologies of human face, iris and vein, compares the security of each biometric recognition technology and makes a prospect of the biometric recognition technology.
A Survey of Multimodal Fusion for Identity Verification
Authors: Li Yongmin , Li Guanyu , Li Pengqi , Li Sixuan , Yuan Xinyu , Liu Ding , Yang Xuebin 
Published: August 2020

Abstract
With the rapid development of computer and network technology, the digitization and invisibility of people’s identities have become an important feature of today’s highly informationized society. This article introduces the knowledge of multimodal fusion, and lists some commonly used multimodal fusion techniques in the field of identity verification, and puts forward some prospects for the future multimodal fusion identity verification.
Resistive anisotropy of candidate excitonic insulator Ta2NiSe5 under pressure
Authors: Arima H , Naito Y , Kudo K , Katayama N , Sawa H , Nohara M , Lu Y F , Kitagawa K , Takagi H , Uwatoko Y , Matsubayashi K 
Published: August 2020

Abstract
We have measured anisotropic electrical resistivity of quasi-one-dimensional Ta2NiSe5 single crystals under pressure. While the in-plane anisotropy is almost pressure independent, the inter-plane one greatly decreases at P
c
∼ 3 GPa accompanied by a pressure-induced semiconductor-semimetal transition. Nevertheless, a similar anomaly in the temperature dependence of in-plane anisotropy has been observed in each phase. This anomaly in the low-pressure phase below P
c is regarded as an excitonic transition, and thus both of these anomalies are suppressed with increasing pressure. These results suggest that the suppression of the excitonic binding energy with pressure is caused by the increase of free carrier densities and the inter-plane conductivity.
Stability of methane hydrate at high-pressure and high-temperature of up to 40 GPa and 573 K
Authors: Kadobayashi Hirokazu , Ohfuji Hiroaki , Hirai Hisako , Ohtake Michika , Yamamoto Yoshitaka 
Published: August 2020

Abstract
High-pressure and high-temperature experiments were performed to investigate the stability of methane hydrate under 6–40 GPa and 298–573 K using synchrotron X-ray powder diffraction in combination with a diamond anvil cell. The results thus obtained revealed that methane hydrate decomposes into solid methane and ice VII at temperatures considerably lower than the melting curves of solid methane and ice VII in the pressure range of 6–40 GPa.
The pressure-dependence of the band gap of tellurium
Authors: Oliveira J F , Enderlein C , Fontes M B , Baggio-Saitovitch E 
Published: August 2020

Abstract
Elemental tellurium is a semiconductor with a small band gap of around 330 meV. Under the application of hydrostatic pressure, the band gap narrows, and it has been suggested that below its crystal phase transition at 40 kbar, the gap might close, leading to a transition into a topologically non-trivial state. Here, we present a pressure dependent study of the gap size of tellurium up to 22kbar, studied by temperature dependent electrical transport. We identify the gap size to be still well above 100 meV at our maximum pressure. Extrapolation of our data, assuming a non-linear gap narrowing (in agreement with previous studies), leaves us to assume that the gap does not close within the ambient pressure crystal phase. However, when assuming a linear narrowing of the gap, we leave a small possibility that there exists a minor pressure window at which a topological phase transition could occur. Furthermore, as the second systematic study of the gap size via transport, we see that historical inconsistencies between the measured gap size via transport and the measured optical gap size seem to be systematic and probably reflect some deeper physics of the material.
Preliminary Overview of the Extreme Condition Beamline (EMA) at the new Brazilian Synchrotron Source (Sirius)
Authors: dos Reis R D , Kaneko U F , Francisco B A , Fonseca Jr. J , Eleoterio M A S , Souza-Neto N M 
Published: August 2020

Abstract
Experimentally achieving extreme thermodynamical conditions of temperature, pressure and magnetic field such as the ones found in the interior of planets and stars has been a dream to many scientists seeking to reproduce those conditions on earth to study and produce unconventional materials. The advent of the 4th generation Brazilian synchrotron source (named after the “Sirius” star) allows us to get closer to this dream by implementing a state-of-the-art beamline facility to study samples under extreme thermodynamical conditions by means of a multitude of synchrotron x-ray techniques. The EMA Beamline (Extreme condition Methods of Analysis) will be able to do this by coupling both microfocus (1x1 µm2) and nanofocus (100x100 nm2) beamsizes to x-ray magnetic spectroscopy, x-ray diffraction and x-ray coherent imaging in multiple experimental instruments, placed along the beam path for optimization. Support laboratories (thermodynamical conditions, nuclear materials, laser and optics) were also planned to fulfil all requirements for the experiments under extreme. The EMA beamline, as overviewed here, should open a plethora of opportunities for diverse studies of materials at extreme conditions with synchrotron x-ray techniques.
Assessment of nitrogen hotspots induced by cropping systems in the Bohai Rim region in China by integrating DNDC modelling and the reactive nitrogen spatial intensity (NrSI) framework
Authors: Wang Qingmei , Liang Xia , Wang Yingchun , Wang Ligang , Mosier Arvin R , Chen Deli 
Published: August 2020

Abstract
More than half of nitrogen (N) inputs to cropland are lost to the environment via denitrification, ammonia (NH3) volatilization, nitrate leaching and surface runoff. Cropping systems are, therefore, a large contributor to reactive N (Nr, all species of N except N2) losses. The Nr spatial intensity (NrSI) framework was developed to quantify the environmental burdens due to Nr losses on a per area basis. However, the current application of the NrSI framework is limited by the development of virtual N factors (VNFs, Nr released to the environment per unit of Nr consumed) for agricultural products and it could not differentiate pathways of Nr losses linked to consequences in various environmental media. As the Denitrification-Decomposition (DNDC) model is capable of tracking N fluxes across cropping systems and regions, we integrated the DNDC model and the NrSI framework to identify hotspots of Nr losses induced by cropping systems, and illustrate the approach with a case study for the Bohai Rim region (BR) in China. Altogether 29 types of cropping systems (i.e. 16 mono, 10 double and 3 triple cropping systems) in 429 counties were simulated for the N balance, Nr losses and the NrSI associated with crop production. Regarding the total Nr losses in the BR, 45% of the total N input was lost to the environment during crop production with NH3 volatilization and nitrate leaching the two main pathways, making up 24% and 19% of the total N input, respectively. Shandong province was the biggest contributor of the total Nr losses (45.6%) among regions, and winter wheat-summer maize, triple vegetable and spring maize cropping systems were the top three contributors among various cropping systems. For Nr loss hotspots, there are substantial variations of NrSI across cropping systems (41–1024 kg N ha−1 y−1) and counties (28–4782 kg N ha−1 y−1). Beijing had the highest NrSI associated with crop production (307 kg N ha−1 y−1) among regions, and vegetable systems had the highest NrSI of 355 kg N ha−1 y−1 among cropping systems. The application of this integrated method is useful to identify areas and/or cropping systems with particularly high Nr losses and NrSI to provide basic information for setting Nr mitigation priorities on a wide range of regions and cropping systems.
Two constructive proofs on d-majorization and thermo-majorization
Authors: Shiraishi Naoto 
Published: August 2020

Abstract
Two constructive proofs on d-majorization and thermo-majorization are provided. In the first part, we present a diagrammatic proof of the equivalence between d-majorization and the existence of a proper stochastic matrix. We explicitly construct the desired stochastic matrix by using a graphical argument. In the second part, we present a constructive proof of the equivalence between the Gibbs-preserving map and thermal operation in classical systems. We construct the desired thermal operation and a heat bath which emulates any Gibbs-preserving map with arbitrary accuracy.
Challenges in initiating Tarsius fuscus’ creative ecotourism at Bantimurung Bulusaraung National Park
Authors: P Putri I A S L 
Published: August 2020

Abstract

Tarsius fuscus (tarsier) has a high potential to be developed as a tourism attraction at Bantimurung Bulusaraung National Park (Babul NP). This study aims to identify challenges in developing sustainable tourism of Tarsius fuscus. Surveys, interviews, and documentation methods were employed in collecting data. Data were analyzed quantitatively and by using descriptive analysis, potential tourism analysis, internal factor and external factor evaluation analysis, and the strengths, weaknesses, opportunities, and threats (SWOT) analysis. Babul NP has potential resources that can be used to enhance tourism, such as Tarsius fuscus that serves as the main attraction, its habitat’ beautiful panorama, and local communities who can play a role in tourism. Nevertheless, the initiation and development of tarsier tourism face difficulties because infrastructure is limited, it is not a primary program of the management, tarsiers are not popular among tourists, and promotion is limited. It requires management effort and great advertising. It also needs to use all of the potency, especially using abandoned potency such as culture and tradition of the local community. It opens the opportunity of tourists to involve actively (co-creation) in tourism. This strategy to initiate and develop this tourism will form a new model and innovation of tourism, namely Tarsius fuscus creative eco-tourism.
Farmer’s socio-economic characteristics and financial feasibility analysis of three pepper (Piper nigrum L.) farming patterns in Southeast Sulawesi
Authors: Fauziyah E , Suhaendah E , Manurung G S 
Published: August 2020

AbstractThis study aims to examine farmer’s socio-economic characteristics and pepper farming analysis on several pepper management patterns. This study was conducted in Lawonua Village, South Konawe District, and Simbune Village, East Kolaka District, Southeast Sulawesi Province, in June 2014 and November 2015. Data were collected through a survey method using open-ended and semi-structured questionnaire interviews, in-depth interviews, and Focus Group Discussion (FGD). Data were analyzed using qualitative descriptive and financial analysis, such as NPV, BCR, and IRR. The results showed that most income of the community in Simbune and Lawonua Village is from pepper farming activity. The respondents were dominated by men, where most of them are Tolaki Tribe, with average age ranges from 30-50 years old. Education level was dominated by junior and senior high school, and most of the respondents have more than ten years of pepper farming experience. The analysis showed that all pepper pattern management was feasible. The results indicated that the first pattern of monoculture pepper farming provided the highest NPV IDR 379,175,999 (IDR/rotation), and the second-highest was pepper farming with cocoa, which provided the highest BCR values (2.75). While the third was agroforestry pepper patterns with pepper, cocoa,durian, andlangsatthat had the highest IRR value of 33%. The pepper with the cocoa farming pattern was generally carried out by farmers who have enough capital. While pepper farming in the agroforestry pattern was mostly chosen due to its consideration to provide more security for family income.
Value of vegetation diversity for indigenous (Adat) community of Kasepuhan Karang
Authors: Hidayat D C , Surati  , Sakuntaladewi N , Sylviani  , Ariawan K 
Published: August 2020

Abstract
The indigenous community of Kasepuhan Karang has legal authority to manage a 486 ha forest area in Gunung Halimun Salak National Park (GHSNP) as a customary forest. As 95% of the customary forest is located in the conservation area of the GHSNP, the Kasepuhan Karang community is responsible for conserving and utilizing forest resources sustainably. Due to the diverse landscape, biodiversity, and their ecological function of the area as well as the necessity to increase community welfare, managing customary forest is challenging. The scientific information on vegetation diversity, proportion, and its compatibility to the landscape characteristic and function will assist the customary leader(s) to apply proper strategies based on ecological and economic benefits. This study was aimed to calculate the economic benefits of the forest for the community and identify the compatible commercial crops that meet with the ecology of the customary forest. The research was conducted in Jagaraksa village of Lebak District, Banten Province, during the period from April to November 2018. The data analysis used was descriptive analysis and market prices. The highest value of economic benefits was obtained from plantation crops, with a benefit value per unit of above IDR 10 million/unit, namely petai (Parkia speciosa), jengkol (Archidendron pauciflorum), coffee (Coffea sp) and sugar palm (Arenga pinnata). Thus, these four species are highly recommended to be cultivated by the Kasepuhan Karang community.
Leaf nutrient status as a predictor for Mahogany (Swietenia sp.) fruit productivity
Authors: Pujiastuti E , Pramono A A , Putri K P , Syamsuwida D , Djam’an D F 
Published: August 2020

Abstract
Soil fertility is one of the limiting factors for tree productivity. Trees as seed sources that have grown in low-fertility soil would not have sufficient edaphic supports for its physiological- and morphological- development, including fruit production. As the ambient environmental conditions are manifested in tree physiology, leaf nutrition status can be used for diagnosing soil fertility. This study aimed to test the possibility of leaf nutrient status as a predictor for Mahogany seed source productivity. The study examined six locations of mahogany fruit productions in West Java from February until December 2018. Soil and leaves samples were collected from fruiting and un-fruiting Mahogany trees, which have similar levels of generative and vegetative phases. Sampling was conducted two months after the fruiting season. Results showed that the fruiting phenomenon was highly correlated with Nitrogen (N) concentration in leaves after the fruiting phase of the tree. The N-total concentration of mahogany leaves obtained from six stands in Bogor and Cianjur were ranged from 1.76% to 3.66%, with an average of 2.33%. Trees that have N concentration above the average indicated a propensity of unproductive (not fruiting) in that year.