bluuebunny/crossref_metadata_2025 huggingface dataset:
Influence of ICT Skills on Library Information Resources Utilisation by Undergraduates in Two Universities in South-West, Nigeria
Authors: Jamogha Oresiri , Jamogha Ejiro , Godwin Lucky Stephen
Published: February 2020

The study investigated the influence of ICT skills on library information resources utilisation by undergraduates in two universities in South-west, Nigeria. Descriptive survey research was adopted for the study. From a population of 32,419 undergraduates in the University of Ibadan and the Obafemi Awolowo University, Ile-Ife, a multi-stage sampling technique was used to select 407 respondents. Questionnaire was the instrument used for data collection. Four hundred and seven copies of questionnaires were administered to respondents, however, 377 were found useful for the analysis. Research questions were answered using descriptive statistics such as frequency, percentage and mean distribution, while the research  hypothesis was analysed, using Pearson’s correlation coefficient and was tested at a 0.05 level of significance. Findings of the study showed that ICT skills possessed by the undergraduates were high. The extent of library information resources utilisation by undergraduates was generally low;  however reference materials and monographs/textbooks were highly  utilised. The result also revealed that there was significant positive  correlation (r = .383**; p< 0.05) between ICT skills and library information resources utilisation. Thus, it was recommended that library management should leveraged on the ICT skill possessed by undergraduates by adopting and implementing ICTs in the provision of library services that would enhance ICT skills and facilitate the utilisation of library information resources by undergraduate.Keywords: ICT Skills, Library Information Resources, library resources, utilisation
Information Transfer in Libraries and Information Centers: Role of Communication
Authors: Onobrakpor Ufuoma D.
Published: February 2020

Libraries and Information Centers (ICs) are points for rendering information services to their users. Likewise communication is vital for any human  interactive accomplishment. This paper seeks to bring forth the role of communication in information transfer in Libraries and Information Centers. This is done by examining the term communications, its goals and importance as well as the Shannon-Weaver model and the communication process. It  applied the communication process of information transfer to Libraries and ICs. Subsequently, it concludes by exposing the role of communication in information transfer to ensuring that the objectives and goals of libraries and ICs are effectively delivered.Keywords: Libraries and Information Centres, Communication, Communication Process, Information Transfer.
Fine Motor Activities in Elementary School Children: A Replication Study
Authors: Caramia Sierra , Gill Amanpreet , Ohl Alisha , Schelly David
Published: February 2020

Importance: The educational landscape is continually changing in response to legislation and the adoption of new standards, such as the Common Core. Currently, little is known about how these changes have influenced the school day.

Objective: To examine the motor and technology requirements of kindergarten, second-, and fourth-grade general education classrooms.

Design: For 6 full school days, we made unobtrusive observations of and took notes that described classroom activities throughout the day. Data were coded by a committee, allocating each minute of the day into 1 of 10 activity categories.

Setting: Kindergarten, second-, and fourth-grade classrooms.

Participants: Three general education classrooms with approximately 20 students in each class.

Results: Students spent between 37.1% and 60.2% of the school day performing fine motor activities, with handwriting accounting for 3.4%–18.0% of the day. Time spent using technology was relatively sparse in kindergarten (4.8%) and second grade (3.1%) compared with fourth grade (14.3%). Transitions between activities (18.9%–23.4% of time spent) exceeded time spent handwriting.

Conclusion and Relevance: This article provides an updated estimate of motor demands throughout the school day. Estimates of fine motor activities were consistent with previous research, but the focus on handwriting appears to have substantially diminished.

What This Article Adds: Within the context of their own school, occupational therapists may find transitions to be a good opportunity for providing services within the classroom. In addition, handwriting practice outside of school may be more necessary in the current educational climate than in previous years.
Interventions Within the Scope of Occupational Therapy to Improve Children’s Academic Participation: A Systematic Review
Authors: Grajo Lenin C. , Candler Catherine , Sarafian Amanda
Published: February 2020

Importance: Occupational therapy practitioners evaluate students’ ability to participate in school and may provide services to improve learning, academic performance, and participation.

Objective: To examine the effectiveness of interventions within the scope of occupational therapy practice to improve academic participation of children and youth ages 5–21 yr.

Data Sources: We searched MEDLINE, PsycINFO, CINAHL, OTseeker, and Cochrane databases for articles published from 2000 to 2017 using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

Study Selection and Data Collection: Within the scope of occupational therapy practice and focused on children ages 5–21 yr.

Findings: Forty-six studies were included, based on three themes: (1) interventions to support participation and learning in the classroom; (2) interventions to support motivation and participation in literacy, including combined reading, written expression, and comprehension; and (3) interventions to support handwriting. Low strength of evidence supports the use of weighted vests and stability balls, and moderate strength of evidence supports the use of yoga to enhance educational participation. Moderate strength of evidence supports the use of creative activities, parent-mediated interventions, and peer-supported interventions to enhance literacy participation. Strong evidence supports therapeutic practice for handwriting intervention, and low strength of evidence supports various handwriting programs as replacement or additional instructional strategies to enhance handwriting abilities.

Conclusions and Relevance: More rigorous studies are needed that are conducted by occupational therapy practitioners in school-based settings and that use measures of participation and academic outcomes.

What This Article Adds: This systematic review provides occupational therapy practitioners with evidence on the use of activity-based and occupation-centered interventions to increase children’s participation and learning in school.
O Delírio além do Sintoma: Reflexões a partir da Teoria da Subjetividade
Authors: Mourão Renata Fernandes , Goulart Daniel Magalhães
Published: February 2020

Este artigo parte de uma crítica ao conceito de delírio na perspectiva psiquiátrica hegemônica, de modo a propor sua definição a partir de uma base teórico-conceitual diversa: a teoria da subjetividade na perspectiva cultural-histórica de González Rey. A partir dessa perspectiva teórica, torna-se possível desconstruir o conceito de patologia e avançar na compreensão do transtorno mental como configuração subjetiva de um conflito, social e historicamente situado. Nesse sentido, esse referencial teórico permite gerar inteligibilidade sobre processos singulares individuais e sociais que se articulam no delírio, de forma a legitimá-lo enquanto fonte de conhecimento científico e como dimensão a ser considerada nos processos de atenção à saúde mental. Tal compreensão abre a possibilidade para considerar a dimensão potencialmente criativa do delírio, constituindo-se em produção possivelmente articulada a processos de desenvolvimento subjetivo, para além de um déficit comportamental relativo a uma suposta norma idealizada.
A Fenomenologia do Corpo no Envelhecimento: Diálogos entre Beauvoir e Merleau-Ponty
Authors: Domingues Rafaela De Campos , Freitas Joanneliese De Lucas
Published: February 2020

Este artigo tem o objetivo de construir uma reflexão fenomenológica acerca da corporeidade no envelhecimento por meio do diálogo das perspectivas de Beauvoir e Merleau-Ponty, partindo das obras A velhice (Beauvoir) e Fenomenologia da percepção (Merleau-Ponty). Recorreu-se, também, à novela de Beauvoir, Mal-entendido em Moscou, que ilustra as experiências de envelhecimento dos protagonistas. Beauvoir demonstra que o corpo é coadjuvante no desvelar da velhice, pois se torna objeto para o outro, delator de nosso envelhecimento. Essa perspectiva é permeada pela concepção sartreana de irrealizável, dada a impossibilidade de síntese do para-si e do em-si que constitui a existência. Contudo a filósofa ultrapassa essa perspectiva quando apresenta a experiência ambígua da senescência como um dos limites à liberdade. Beauvoir e Merleau-Ponty têm em comum a compreensão de que o corpo é condição para ser. Em diálogo com a filosofia de Merleau-Ponty, nota-se que, embora Beauvoir concorde com a reflexão sobre o corpo vivido como potência (je peux), sua perspectiva articula a ambiguidade do que um corpo pode e o que não pode. Assim, acedemos à conclusão sobre as restrições vividas, dadas não apenas pelo aspecto material do corpo que envelhece, mas especialmente pelas opressões sociais. Argumenta-se que Beauvoir abre uma dimensão ética ao pensar a velhice, adensando o problema do outro e de si, e da nossa relação com o estranho que há em nós mesmos. Nesse sentido, a obra de Beauvoir nos leva a indagar se estamos preparados para envelhecer e vivenciar nossa velhice, já que sempre a mantemos a distância, como uma estranha que desaba sobre nós.
Gabelentz and the Science of Language
Authors: McElvenny James , von Annemete , Elffers Els , Hurch Bernhard , Purgay Katrin , Willems Klaas , Ringmacher Manfred
Published: February 2020

The German sinologist and general linguist Georg von der Gabelentz (1840—1893) occupies a crucial place in linguistic scholarship around the end of the nineteenth century. As professor at the University of Leipzig and then at the University of Berlin, Gabelentz was present at the main centers of linguistics of the time. He was, however, generally critical of the narrow, technical focus of mainstream historical-comparative linguistics as practiced by the Neogrammarians and instead emphasized approaches to language inspired by a line of researchers stemming from Wilhelm von Humboldt. Gabelentz’ alternative conception of linguistics led him to several pioneering insights into language that anticipated elements of the structuralist revolution of the early twentieth century. Gabelentz and the Science of Language brings together four essays that explore Gabelentz’ contributions to linguistics from a historical perspective. In addition, it makes one of his key theoretical texts, ‘Content and Form of Speech’, available to an English-speaking audience for the first time.
Reframing Seventeenth-Century Bolognese Art
Authors: Bohn Babette , Morselli  , Fumagalli Elena , De Joyce , Piccinelli Roberta , Ghelfi Barbara
Published: February 2020

These ground-breaking essays, all based on original archival research, consider the evolving interest in Bolognese art in seventeenth-century Italy, particularly focusing on the period after the death of Guido Reni in 1642. Edited by Bolognese specialists Raffaella Morselli and Babette Bohn, the studies collected here focus on the taste for Bolognese art within Bologna itself and in other parts of the Italian peninsula, including Mantua, Ferrara, Rome, and Florence. Essays examine the roles of gender, class, and the social status of the artist in early modern Bologna; approaches to exhibiting artworks in noble Bolognese collections; the reputations of local women artists; the popularity of Bolognese quadratura painting; and the relative success of both contemporary and earlier Bolognese artists with Italian collectors.
De Christelijke Nationale Actie (CNA) van prof. dr. Hugo Visscher
Authors: Tijssen Henk
Published: February 2020

At the end of the Interbellum and in the first years of the German occupation a specific Reformed-Calvinist political action group existed, the Christelijke Nationale Actie (Christian National Action, cna). The founders deliberately did not want to found a political party or movement, but an action group. At first, they intended an interconnection of all four existing protestant parties, but none of them wanted to collaborate. Co-operation bounced off on the interpretation of Article 36 of the Nederlandse Geloofsbelijdenis (Belgic Confession, ngb), concerning the office of civil government and the relation between church and state. The cna decided to join the elections of 1937 as a political party, but did not get enough votes to win a chair in the Parliament. In 1941 de cna was liquidated by the German occupiers.
Een kennismaking met Jenő Sebestyén (1884-1950)
Authors: Aalders Maarten J.
Published: February 2020

During the interwar period, the Hungarian theological professor Jenő Sebestyén was a well-known figure in the Reformed Churches in the Netherlands. He regularly visited the Netherlands and gave lots of lectures to raise money for charity work in Hungary. In 1930 the Vrije Universiteit Amsterdam awarded him an honorary doctorate. After his death an In Memoriam appeared in Trouw on 8 June 1950, and on 12 April 1952 George Puchinger dedicated the issue of his magazine Polemios to this Hungarian neo-Calvinist. In the Netherlands there is little attention for him anymore. In this article I deal with three questions: how did Sebestyén come to study neo-Calvinism, what activities did he develop in that context, and what was the result of his efforts?
Glazen water over vrijende paartjes1
Authors: Winkeler Lodewijk
Published: February 2020

Since the fifties of the twentieth century Roman-catholic or ecumenical student parishes exist in all university cities in the Netherlands. The history of these parishes goes back to the end of the nineteenth century, when Roman-catholic students started to organize to armor themselves intellectually and morally against antipapism and positivism. All these student associations had a so called ‘moderator’, a spiritual advisor in a leading role. In the first decennia the moderator had a strong influence on the policy and programming of the associations. During the century however the associations grew and also got a social function, becoming full student associations next to the existing student corpora. During World War II most students had to go into hiding in order not to get caught for the German Arbeitseinsatz. The moderators did what they could to keep in touch with them, personally and with stenciled letters, and directed themselves not only to the association members, but to all catholic students.

After the war this orientation to all Catholics was formalized by founding student parishes, and in the sixties moderatorship disappeared. In the early seventies these student parishes stood in the forefront of the renewal movement of Dutch Catholicism. Afterwards, as a consequence of the secularization, the accent of the student chaplains shifted to personal counseling, meditation and other activities concerning personal growth.
Reconstruction of multi-millennial summer climate variations in central Japan by integrating tree-ring cellulose oxygen and hydrogen isotope ratios
Authors: Nakatsuka Takeshi , Sano Masaki , Li Zhen , Xu Chenxi , Tsushima Akane , Shigeoka Yuki , Sho Kenjiro , Ohnishi Keiko , Sakamoto Minoru , Ozaki Hiromasa , Higami Noboru , Nakao Nanae , Yokoyama Misao , Mitsutani Takumi
Published: February 2020

Abstract. Oxygen isotope ratios (δ18O) of tree-ring cellulose are a novel proxy of summer hydroclimate in monsoonal Asia. In central Japan, we collected 67 conifer wood samples, mainly Chamaecyparis obtusa, with ages encompassing the past 2,600 yr. The samples were taken from living old trees, excavated archeological wood, old architectural wood, and naturally buried logs. We analyzed stable isotope ratios of oxygen (δ18O) and hydrogen (δ2H) in tree-ring cellulose in these samples without using a pooling method, and constructed a statistically reliable tree-ring cellulose δ18O time-series for the past 2,500 yr. However, there were distinct age trends and level offsets in the δ18O record, and cellulose δ18O values showed a gradual decrease as an individual tree matures. This suggested it is difficult to establish a cellulose δ18O chronology for low-frequency signals by simple averaging of all the δ18O time-series data. However, there were opposite age trends in the cellulose δ2H, and δ2H gradually increased with tree age. There were clear positive correlations in the short periodicity variations between δ18O and δ2H, probably indicating a common climate signal. A comparison of the δ18O and δ2H time-series in individual trees with tree-ring width suggested that the opposite age trends of δ18O and δ2H are caused by temporal changes in the degree of post-photosynthetic isotope exchange with xylem water, accompanied by changes in stem growth rate (growth effect) that are influenced by human activity in the forests of central Japan. Based on the assumptions that cellulose δ18O and δ2H vary positively and negatively with constant proportional coefficients due to climate variations and the growth effect, respectively, we solved simultaneous equations for the climatological and physiological components of variations in tree-ring cellulose δ18O and δ2H in order to remove the age trend (growth effect). This enabled us to evaluate the climatic record from cellulose δ18O variations. The extracted climatological component in the cellulose δ18O for the past 2,600 yr in central Japan was well correlated with numerous instrumental, historical, and paleoclimatological records of past summer climate at various spatial and temporal scales. This indicates that integration of tree-ring cellulose δ18O and δ2H data is a promising method to reconstruct past summer climate variations on annual to millennial time-scales, irrespective of the growth affect. However, analytical and statistical methods need to be improved for further development of this climate proxy.
A remote sensing-based dataset to characterize the ecosystem functioning and functional diversity of a Biosphere Reserve: Sierra Nevada (SE Spain)
Authors: P. Cazorla Beatriz , Cabello Javier , Reyes Andrés , Guirado Emilio , Peñas Julio , Pérez-Luque Antonio J. , Alcaraz-Segura Domingo
Published: February 2020

Abstract. Conservation Biology faces the challenge of safeguarding the ecological processes that sustain biodiversity. Characterization and evaluation of these processes can be carried out through attributes or functional traits related to the exchanges of matter and energy between vegetation and the atmosphere. Nowadays, the use of satellite imagery provides useful methods to produce a spatially continuous characterization of ecosystem functioning and processes at regional scales. Our dataset characterizes the patterns of ecosystem functioning in Sierra Nevada (Spain) from the vegetation greenness dynamics captured through the spectral vegetation index EVI (Enhanced Vegetation Index) since 2001 to 2018 (product MOD13Q1.006 from MODIS sensor). First, we provided three Ecosystem Functional Attributes (EFAs) (i.e., descriptors of annual primary production, seasonality, and phenology of carbon gains), as well as their integration into a synthetic mapping of Ecosystem Functional Types (EFTs). Second, we provided two measures of functional diversity: EFT richness and EFT rarity. Finally, in addition to the yearly maps, we calculated interannual summaries, i.e., means and inter-annual variabilities. Examples of research and management applications of these data sets are also included to highlight the value of EFAs and EFTs to improve the understanding and monitoring ecosystem processes across environmental gradients. The datasets are available in two open-source sites (PANGAEA: https://doi.pangaea.de/10.1594/PANGAEA.904575 (Cazorla et al. 2019) and http://obsnev.es/apps/efts_SN.html), and bring to scientists, managers and the general public valuable information on the first characterization of the functional diversity at ecosystem level developed in a Mediterranean hotspot. Sierra Nevada represents an exceptional ecology laboratory of field conditions, where a long-term monitoring (LTER) program was established 10 years ago. The data availability on biodiversity, climate, ecosystem services, hydrology, land-use changes and management practices from Sierra Nevada, will allow to explore the relationships between these other environmental data and ecosystem functional data that we provide in this work.
THE RELATIONSHIP BETWEEN LIVEABILITY AND PRICE OF RESIDENTIAL HOUSES – A CASE STUDY OF SHENZHEN
Authors: Liu L.
Published: February 2020

Abstract. This study proposes an index for cities in China to measure the liveability of real estate. This liveability index combines indicators from four dimensions including education, transportation, living facilities and entertainment, and can be quickly obtained by using data of Point of Interest, based on popular internet maps. Then, using Shenzhen as a sample city, correlation analysis has been adopted to examine the relationship between this liveability index and housing price. The results show that, the liveability index can well reflect the real-world situation of the city. Moreover, a weak but significant relationship can be found between liveability and the housing price. The results of this study not only can be used for urban residents to search a proper housing estate, but also can assistant urban planners and policy makers to get a general map of the spatial structure of the city.
POINT CLOUD SMOOTH SAMPLING AND SURFACE RECONSTRUCTION BASED ON MOVING LEAST SQUARES
Authors: Kang C. L. , Lu T. N. , Zong M. M. , Wang F. , Cheng Y.
Published: February 2020

Abstract. In point cloud data processing, smooth sampling and surface reconstruction are important aspects of point cloud data processing. In view of the current point cloud sampling method, the point cloud distribution is not uniform, the point cloud feature information is incomplete, and the reconstructed model surface is not smooth. This paper proposes a method of smoothing sampling processing and surface reconstruction using point cloud using moving least squares method. This paper first introduces the traditional moving least squares method in detail, and then proposes an improved moving least squares method for point cloud smooth sampling and surface reconstruction. In this paper, the algorithm is designed for the proposed theory, combined with C++ and point cloud library PCL programming, using voxel grid sampling and uniform sampling and moving least squares smooth sampling comparison, after sampling, using greedy triangulation algorithm surface reconstruction. The experimental results show that the improved moving least squares method performs point cloud smooth sampling more uniformly than the voxel grid sampling and the feature information is more prominent. The surface reconstructed by the moving least squares method is smooth, the surface reconstructed by the voxel grid sampling and the uniformly sampled data surface is rough, and the surface has a rough triangular surface. Point cloud smooth sampling and surface reconstruction based on moving least squares method can better maintain point cloud feature information and smooth model smoothness. The superiority and effectiveness of the method are demonstrated, which provides a reference for the subsequent study of point cloud sampling and surface reconstruction.
ANALYSIS OF ACCESSIBILITY OF URBAN ROADS BASED ON SPACE SYNTAX AND DISTANCE MEASUREMENT
Authors: Pan Z. G. , Lan G. W. , Fan D. L. , Du Y. L. , Zeng Y.
Published: February 2020

Abstract. Space syntax and distance measurement are significant theoretical methods for studying road accessibility. Space syntax deals with the topological relationship between road networks, but the length of the road is ignored. While distance measurement method only takes into account the factors such as distance, time, and economic costs when studying road accessibility. Both of them are defective in evaluating the accessibility of transportation networks, and there are a few of researches that consider the interaction between road axes lines. In this paper a method for traffic network accessibility evaluation is proposed by combining the space syntax theory and the distance measurement method, and considering the influence of the interaction between road axes lines at the same time. The method is successfully applied for evaluating the traffic network accessibility of Nanning in Guangxi. The research shows that: (1) the results of the analysis are compared horizontally with traffic conditions at different times in Nanning City, and the experimental results are nearly in line with the actual road conditions. (2) The areas with high road density are Liangfeng District, Qingxiu District and Xixiangtang District. (3) Nanning City's road network center is located at the intersection of Xixiangtang District, Xingning District, Qingxiu District and Jiangnan District; its traffic network distribution is the densest and the overall level of urban road accessibility is higher. This study provides a theoretical basis for the development of Nanning's transportation network and has the reference significance for further optimizing the transportation planning in Nanning.
PREDICTION OF PM2.5 CONCENTRATION OF BP NEURAL NETWORK BASED ON IMPROVED PARTICLE GROUP ALGORITHM
Authors: Zhang W. , Xie S. F. , Zhou Z. H. , Zhao Y. , Li G. H.
Published: February 2020

Abstract. There exists the shortage of low accuracy when using BP neural network model to predict PM2.5 concentration in air. An improved particle swarm optimization (IPSO) algorithm combined with BP neural network was proposed. Using the advantages of improved PSO algorithm global optimization ability, the weight and threshold of BP neural network are optimized, pollutant data and meteorological data are used as input data, PM2.5 concentration is used as output data, and IPSO-BP model is established for simulation prediction. Comparing and analyzing the IPSO-BP model, PSO-BP model and BP model, the results show that the MAE and RMSE of the IPSO-BP model are 6.94 and 8.47, respectively, and the R2 is 0.77. The accuracy test indicators are better than the PSO-BP model, and the BP model, PM2.5 concentration has the highest prediction accuracy, validating the validity of the model's prediction of PM2.5 concentration.
RESEARCH ON URBAN CONSTRUCTION LAND CHANGE DETECTION METHOD BASED ON DENSE DSM AND TDOM OF AERIAL IMAGES
Authors: Zhu X. , Pang G. , Chen P. , Tao Y. , Zhang Y. , Zuo X.
Published: February 2020

Abstract. The scale of urban construction land is an important factor of the process of urbanization. This paper presented an urban construction land change detection method combining dense DSM difference and TDOM tree extraction of traditional aerial photos: the pixel-level DSM and TDOM for two period are obtained by Semi-Global Matching (SGM) and Multi View Stereo (MVS), respectively. After DSM pre-processing including noise filter and hole filling, the difference of DSM is calculated. The segmentation and tree extraction of TDOM are proposed to reduce the change errors caused by the crown influence of different seasons. Based on this method, 2 experiments were carried out. One was for the urban construction land located at 5th ring road south in Beijing with ADS80 aerial images obtained in 2016 and 2017, and the other was for the building demolition and construction of Dongcheng and Xicheng District of Beijing with UltraCam, the frame camera and RCD30 between 2015 and 2017. Through the experiments, it was concluded that the result of the method could identify all the changes both in the plane and in the elevation, and the edges of the change patches were clear and regular, which could assist checking the manual change extraction results. The minimum area of the change patches could be 5 m2 with the DSM resolution of 0.2 m, which was of great significance for the urban construction change detection including the factory, residential area and also the urban regional greening.
BASED ON GPU FOR STRIP ADJUSTMENT ALGORITHM OF LIDAR DATA
Authors: Song B. , Zhou G. Q. , Lu Y. L. , Zhou X. , Liang P.
Published: February 2020

Abstract. In order to solve the problem that the source of LiDAR data error needs to be adjusted and the data volume is large, the adjustment speed between the voyages is slow and cannot be automatically adjusted. Based on the iterative nearest point (ICP) algorithm, this paper proposes an improved iterative closest point (ICP) algorithm based on GPU parallel octree. The algorithm quickly constructs the octree of LiDAR nautical belt data in the GPU, uses the octree to quickly find the overlapping area of the nautical band, and then uses the ICP algorithm in the overlapping area to solve the adjustment parameters R and T quickly. Then the entire flight belt is quickly adjusted. Experiments with example data show that this method can quickly and automatically adjustment a large number of LiDAR data, and the adjustment precision can meet the precision requirements of the production.
RESEARCH ON MULTI-STAR NONLINEAR REGRESSION ESTIMATION MODEL OF SOIL MOISTURE BASED ON WAVELET ANALYSIS
Authors: Pan Y. L. , Liang Y. J. , Ren C. , Zhang Z. G. , Huang Y. B. , Shi Y. J.
Published: February 2020

Abstract. Soil moisture is an important parameter for studying meteorological, hydrological, and agricultural research. How to obtain accurate soil moisture has become a key issue. The traditional method of obtaining soil moisture has the disadvantages of high cost, complicated operation and limited application range. In recent years, using GPS-IR (GPS-Interferometric Reflectometry) technology to estimate soil moisture has become a Research hot. Traditional GPS-IR technology uses low-order polynomial to separate GPS satellite direct and reflected signals, but the separation effect is poor. And single-star inversion accuracy is low. In order to solve these problems, this paper proposes a multi-star nonlinear regression model based on wavelet analysis.Firstly, the satellite direct reflection signal is fitted by wavelet analysis, then the relative phase delay is solved by the nonlinear least squares method. Finally, the multi-star nonlinear regression model is established to estimate the soil moisture. The experiment used the observation data of the P041 station provided by the US Plate Edge Observation Program PBO in 2012. The results show that the wavelet analysis separates the reflected signal better than the low-order polynomial. The model can fully combine the advantages of wavelet analysis and multi-star fusion inversion, and effectively improve the abnormal jumping phenomenon of single-star. The inversion result is significantly upgrade than the traditional method. When the model combination reached double-star and triple-star, the better results were obtained. The R reached 0.922 and 0.948, respectively. The test results increased by 18.6% and 20.9% compared with the traditional method.
STUDY ON THE PERFORMANCE OF BEIDOU HIGH-PRECISION REFERENCE STATION NETWORK IN BEIBU GULF OF GUANGXI
Authors: Zhong X. Y. , Yang Y. F. , Zhou C. L.
Published: February 2020

Abstract. Beidou high-precision reference station network in Beibu Gulf of Guangxi consists of five parts, namely Beidou reference stations, the data processing system, the operation and service platform, the data broadcast system and user terminals. It is an important infrastructure for the construction of the China-ASEAN Information Harbor. Since its operation, the system has contributed significantly to the industrial development in Guangxi and the mass application of Beidou. This paper focuses on the operation of Beidou high-precision reference station network in Beibu Gulf of Guangxi from the perspectives of performance, navigation and positioning accuracy, application experience, etc. Experimental results demonstrated that: in the area of Beibu Gulf of Guangxi, the application of Beidou Navigation Satellite System (BDS) has significantly increased the number of satellites observed and enhanced the spatial accessibility of the system. The percentage of fixed solutions in the spatial accessibility test of the system was about 87.3%; the network-wide time availability within the effective coverage of the system was 92.7%; the internal accordant accuracy of points in Beibu Gulf BDS was 37.7% and 33.3% higher than the dual constellation system (GPS+GLONASS) in the horizontal and the vertical directions respectively, and the average external accordant accuracy was 20.60% higher than the dual constellation system in the horizontal direction (equivalent in the vertical direction). This paper objective reflected the present construction and utilization situation of Beidou high-precision reference station network in Beibu Gulf of Guangxi, which would be of great significance to the construction and development of the Beidou system.
STUDY ON ACCURACY ASSESSMENT OF DEM IN THE MARSH USING WITH INTERFEROMETRIC PALSAR, SENTINEL-1A AND TERRASAR-X IMAGES
Authors: Fu B. L. , Li Y. , Gao E. T. , Fan D. L. , Lou P. Q.
Published: February 2020

Abstract. To conserve and manage wetland resources, it is important to monitor hydro-geomorphic condition. In this paper, the interferometric SAR images of L-band ALOS-1 PALSAR, C-band Sentinel-1A and X-band TerraSAR were selected to produce DEM of wetland area in the Honghe National Nature Reserve using the InSAR technique. 111 testing points randomly selected from the 1:10000 topographic map were utilized to evaluate accuracy of remote-sensing based DEM. Finally, the interference coherence difference of wetland vegetation among three different wavelengths was compared and analyzed. The results showed that The DEM of wetland area produced by L-band ALOS-1 PALSAR interferometric images was in good agreement with the 1:10,000 topographic map data. The elevation value with the difference less than 3 meters account for over 76% of all testing points. The coherence coefficient of wetland calculated from PALSAR images was higher than Sentinel-1A and TerraSAR images. The coherence coefficient among wetland vegetation types was significantly different. The distribution area of forest and shrub-grass vegetation had a larger coherence coefficient than shallow-water marsh vegetation area and deep-water marsh vegetation area.
RESEARCH ON THE MAKER TEACHER MOBILE TRAINING PLATFORM BASED ON BIG DATA ANALYSIS
Authors: Jiang Z. H.
Published: February 2020

Abstract. In the era of "Internet +" and Big Data, it is of great practical significance on how to build a training platform that accurately matches the professional development of maker teachers, and to carry out personalized mobile training for maker teachers under the Big Data analysis technology. The construction of the maker teacher mobile training platform, based on the big data analysis technology, is designed to explore the personalized needs of maker teachers in professional development. It introduces a new concept of MOOC and community space design to build the maker mobile training platform framework structure, which contains three layers: application layer, service layer, and data layer. It designs five functional modules: diagnostic demand analysis module, personalized service customization module, online maker course module, seminar space module, and evaluation feedback module. The case analysis of the platform and its application effect shows that the maker teacher mobile training platform based on big data analysis has obvious effects on professional development for teachers and can provide reference for future research on related topics.
WATERSHED TOPOGRAPHIC CHARACTERISTICS AND CAUSES ANALYSIS OF THE UPPER REACHES OF THE WEIHE RIVER
Authors: Liu Z. H. , Han L. , Wu T. T. , Du C. Y. , Cao N.
Published: February 2020

Abstract. The morphology of watershed is the most intuitive information carrier to reflect regional tectonic activity, surface erosion and morphologic evolution. Active tectonic and fluvial system play a significant role in patterns and characters of regional morphology. Taking twenty-nine tributaries of the upper reaches of the Weihe River as the main study objects, four parameters, such as gully density (GD), basin topography ratio (BTR), roundness ratio (RR), river longitudinal profile fitting exponent (RLPFE), etc., were used to quantitatively analyse the topographic characteristics in this area. To reveal the main cause of the characteristics, the hypsometric integral (HI) were also applied in this area. The results showed that: (1) There is a positive linear function between basin topography ratio (BTR) and mean slope, and the mean values of four indexes in northern channels are smaller than southern channels; (2) The mean HI value is 0.44, indicating that the main topographic characteristics of this area is in maturity, which is in the transitional period of adjustment of the deep erosion and uplift movement; (3) The main cause of this topographic changes is tectonic. These results are consistent with other geological background, and will enrich regional basin morphology research and tectonic activity evaluation, provide important basic data for regional disaster prediction and analysis of soil and water loss.
RESEARCH ON THE VARIATION CHARACTERISTICS OF VEGETATION CHANGE AND ITS TERRAIN INFLUENCE FACTORS IN ALPINE GRASSLAND IN THE SOURCE REGION OF THE YELLOW RIVER
Authors: Qin Q. T. , Chen J. J.
Published: February 2020

Abstract. The source region of the Yellow River is an important ecological barrier in China. Since the 1990s, under the influence of various factors, its runoff has decreased and the ecological environment has deteriorated, which has attracted great attention of governments. Vegetation is the general term of plant communities covering the surface, which is the natural link between the atmosphere, water and soil. It plays an important role in air regulation, soil conservation and maintaining the stability of the whole ecosystem. Therefore, the study on the differential characteristics and topographic influencing factors of alpine grassland change in the source region of the Yellow River can provide reference for the ecological environment protection in -this region in the future. Based on the remote sensing data of MODIS NDVI, we studied the spatial distribution pattern and temporal variation characteristics of vegetation coverage in the source region of the Yellow River from 2000 to 2009 by means of maximum synthesis method, pixel dichotomy model method and trend analysis method. Furthermore, combined with DEM topographic elevation data, we discussed the influence of topographic factors such as elevation, slope and aspect on fractional vegetation cover (FVC) change. The results showed that: (1) From 2000 to 2009, the FVC in the source region of the Yellow River fluctuated upward, showing the spatial distribution characteristics of the southeast region > the central region > the northwest region; (2) During the ten years from 2000 to 2009, the almost constant of FVC accounted for the largest area, and the areas with increasing FVC mainly concentrated in the northeast and northwest of the studied region, the areas with reduced vegetation coverage were scattered in various places in the studied region, mainly in the form of minimal patches or spots; (3) Different terrain factors had different effects on FVC and the effect of altitude on FVC changes was significantly greater than that of slope and aspect. With the increase of altitude, the proportion of significant reduction in FVC increased firstly and then decreased, while the proportion of significant increase in FVC was decreasing and the proportion of almost unchanged in FVC was increasing; With the increase of slope, the proportion in the above three cases (significant reduction, significant increase and almost unchanged in FVC) was increased, decreased gradually and fluctuated respectively. Under different aspect, the proportion in the above three cases varied little, fluctuating only within 1%.
RESEARCH ON SE-INCEPTION IN HIGH-RESOLUTION REMOTE SENSING IMAGE CLASSIFICATION
Authors: Cai Z. L. , Weng Q. , Ye S. Z.
Published: February 2020

Abstract. With the deepening research and cross-fusion in the modern remote sensing image area, the classification of high spatial resolution remote sensing images has captured the attention of the researchers in the field of remote sensing. However, due to the serious phenomenon of “same object, different spectrum” and “same spectrum, different object” of high-resolution remote sensing image, the traditional classification strategy is hard to handle this challenge. In this paper, a remote sensing image scene classification model based on SENet and Inception-V3 is proposed by utilizing the deep learning method and transfer learning strategy. The model first adds a dropout layer before the full connection layer of the original Inception-V3 model to avoid over-fitting. Then we embed the SENet module into the Inception-V3 model for optimizing the network performance. In this paper, global average pooling is used as squeeze operation, and then two fully connected layers are used to construct a bottleneck structure. The model proposed in this paper is more non-linear, can better fit the complex correlation between channels, and greatly reduces the amount of parameters and computation. In the training process, this paper adopts the transfer learning strategy, makes full use of existing models and knowledge, improves training efficiency, and finally obtains scene classification results. The experimental results based on AID high-score remote sensing scene images show that SE-Inception has faster convergence speed and more stable training effect than the original Inception-V3 training. Compared with other traditional methods and deep learning networks, the improved model proposed in this paper has greater accuracy improvement.
UNMANNED AERIAL VEHICLE IMAGE MATCHING BASED ON IMPROVED RANSAC ALGORITHM AND SURF ALGORITHM
Authors: Li X. G. , Ren C. , Zhang T. X. , Zhu Z. L. , Zhang Z. G.
Published: February 2020

Abstract. A UAV image matching method based on RANSAC (Random Sample Consensus) algorithm and SURF (speeded up robust features) algorithm is proposed. The SURF algorithm is integrated with fast operation and good rotation invariance, scale invariance and illumination. The brightness is invariant and the robustness is good. The RANSAC algorithm can effectively eliminate the characteristics of mismatched point pairs. The pre-verification experiment and basic verification experiment are added to the RANSAC algorithm, which improves the rejection and running speed of the algorithm. The experimental results show that compared with the SURF algorithm, SIFT (Scale Invariant Feature Transform) algorithm and ORB (Oriented FAST and Rotated BRIEF) algorithm, the proposed algorithm is superior to other algorithms in terms of matching accuracy and matching speed, and the robustness is higher.
ELASTOMERIC NANOPARTICLES: EFFECTIVE ADDITIVE FOR HIGH PERFORMANCE RUBBER NANOCOMPOSITES
Authors: Wang Xiang , Qiao Jinliang , Zhou Zhifeng , Gao Jianming , Qi Guicun , Li Binghai , Zhang Jiangru , Zhang Xiaohong
Published: February 2020

The “magic triangle” is the most important challenge to rubber composites for the automobile industry. According to the magic triangle, it is difficult to improve the rolling resistance (energy saving), wet skid resistance (safety), and wear (life) of a tire simultaneously. However, ∼5% decrease of rolling resistance, >20% increase of wet skid resistance, and 15% decrease of wear were achieved after adding a small amount of elastomeric nanoparticle (ENP). The effect of ENP on the performances of rubber composites was expounded by characterization of the dispersion of filler and the relationship between filler and rubber. The main difference between ENPs and other nanoparticles was that ENPs acted as not only a part of filler but also as a part of rubber in rubber composites.
Reflections by Some Jordanian EFL Lecturers on Salmon’s Five-Stage E-Learning Model and Its Possible Application to Teaching English in Jordan
Authors: Alkhawaldeh Ahmad
Published: February 2020

This study attempted to evaluate Gilly Salmon’s Five-stage e-learning Model and its possible contribution to learning English language skills by surveying the related literature and obtaining perspectives of some EFL lecturers in Jordan during the 1st semester, 2018–2019. A convenient sample of twenty EFL lecturers participated in a semi-structured interview to reflect on the contribution of the five-stage model to English language instruction. The study revealed some strengths and drawbacks of the above model. While acknowledging the existence of several positive attributes of this model such as exhibiting coherence and being structural and developmental and featuring the engagement of learners via collaborative language learning, this model, according to some EFL specialists, demands further improvement to highlight, for instance, face-to-face mode of language instruction and to be more spiral and bi-directional. The study called for integrating assessment into the model to monitor learner’s learning progress. It also called for achieving independent language learning and enabling learners to transfer their learning beyond the model’s final stage of development. It was suggested that the above model should be modified to account more adequately for online English language learning.
A Secured System for Internet Enabled Host Devices
Authors: Thompson Aderonke F. , Oyinloye Oghenerukevwe E. , David Matthew T. , Alese Boniface K.
Published: February 2020

In the world of wireless communication, heterogeneous network topologies such as Wi-Fi and Long-Term Evolution (LTE) the topologies authentication service delivery forms a major challenge with access control; which is sought to be addressed. In this paper, we propose a security model by adapting Capability-based Context Aware Access Control (CCAAC) model for internet-enabled devices for defense against hacking or unauthorized access. The steps applied during the programming of this web application was followed through using the Elliptic-Curve Diffie–Hellman (ECCDH) algorithm so that the initiation of a random prime number between a range, the encryption and exchange of the devices public keys to the decryption are interpreted the right way to the machine making use of it. The results established a security model that has a good chance of being effective against present cyber-attacks other security loopholes.