bluuebunny/crossref_metadata_2025_split huggingface dataset:
Real-time pedestrian detection method based on improved YOLOv3
Authors: Luo Jingting , Wang Yong , Wang Ying 
Published: March 2020

Abstract
Pedestrian detection in image or video data is a very important and challenging task in security surveillance. The difficulty of this task is to locate and detect pedestrians of different scales in complex scenes accurately. To solve these problems, a deep neural network (RT-YOLOv3) is proposed to realize real-time pedestrian detection at different scales in security monitoring. RT-YOLOv3 improves the traditional YOLOv3 algorithm. Firstly, the deep residual network is added to extract vehicle features. Then six convolutional neural networks with different scales are designed and fused with the corresponding scale feature maps in the residual network to form the final feature pyramid to perform pedestrian detection tasks. This method can better characterize pedestrians. In order to further improve the accuracy and generalization ability of the model, a hybrid pedestrian data set training method is used to extract pedestrian data from VOC data set and train with INRIA pedestrian data set. Experiments show that the proposed RT-YOLOv3 method achieves 93.57% accuracy of mAP (mean average precision) and 46.52f/s (number of frames per second). In terms of accuracy, RT-YOLOv3 performs better than Fast R-CNN, Faster R-CNN, YOLO, SSD, YOLOv2 and YOLOv3. This method reduces the missed detection rate and false detection rate, improves the positioning accuracy, and meets the requirements of real-time detection of pedestrian objects.
Research and Application of Data Filtering Technology in High Level Architecture
Authors: Zhengxiong Mao , Yongjun Xue , Huan Wang , Wei Ou 
Published: March 2020

Abstract
High-level architecture provides a general technical framework and an open standard for modelling and distributed simulation. It represents the latest development direction of distributed simulation. This paper mainly introduces the basic knowledge of HLA and two methods of data filtering mechanism. Two classical data filtering methods are discussed. Mixed data filtering methods can effectively reduce the allocation and matching calculation of multicast groups, and improve the efficiency of data filtering.
Incremental Rapidly Grouping Aggregation Method for Similar Web News Headline
Authors: Hu Shengze , He Chunhui , Zhang Chong , Ge Bin , Zhu Huiming , Liu Wei 
Published: March 2020

Abstract
With the popularity of the Internet, real-time web news has been extensively used in human daily life. Because of competition and repetitive reporting between the media, there may be multiple similar news reporting the same searing event, which may waste a lot of time for users to obtain and read the similar news. Hence, how to rapid aggregating similar news to help users obtain relevant news information accurately is a very meaningful and essential study. However, the accuracy of the existing aggregation method needs to be strengthened, and it not meet real-time incremental processing requirements.
In this paper, rapid incremental aggregating a lot of similar news headlines are our main study targets. We proposed a novel Rapidly Grouping Aggregation (RGA) method. It carries out similar news headline aggregation via two core aspects --- Improved Jaro-Winkler (IJW) similarity calculation, normalized mapping and rapidly grouping aggregation. The IJW using hierarchical matching windows to enhance the performance of similarity calculation, and using the MD5 normalization strategy and the Group By function of the MongoDB database to carry out the similarity news headline rapidly grouping. Compared with the state-of-the-art method, the actual system application results show that the RGA method achieves higher performance on similar news headline aggregation tasks.
Contextual multimodal sentiment analysis with information enhancement
Authors: Jiang Dandan , Zou Dongsheng , Deng Zhipeng , Dan Jingpei 
Published: March 2020

Abstract
The results of sentiment analysis research can be applied to various social situations, including human communication understanding and dialogue system. Multimodal sentiment analysis involves the identification of sentiment in videos. This paper proposes a multimodal sentiment analysis framework, in which the Attention-based Bi-directional Gated Recurrent Unit (AT-BiGRU) model is used to obtain the contextual relationship among utterances, and the Information Enhancement Fusion (IE-Fusion) model is used to fuse the multimodal features of each utterance. Experimental results show that our framework achieves 82.85% and 65.77% accuracies on two different benchmark datasets, CMU-MOSI and IEMOCAP, respectively. Our method outperforms the state-of-the-art models on the datasets.
Research Progress on Acquisition and Processing of Rice Disease Images Based on Computer Vision Technology
Authors: Li Hui 
Published: March 2020

Abstract
Rice diseases are an essential factor that affects rice yield and quality, and carrying out researches on rice disease recognition and detection methods is of great significance to the promotion of green and high yield, stable yield, and high-quality and efficient development of rice. The recognition of crop diseases with computer vision technology is characterized by non-destruction, rapidity, real-timeness, and accuracy, etc, and has far-reaching influence on accelerating agricultural modernization and improving production efficiency. Recognition and detection of crop diseases have become a focus and front of research in the field of computer vision technology. The acquisition and processing techniques of rice disease images are researched in this paper, and the basic principles, key techniques, realization methods, and application effects of some typical methods are also analyzed, in the hope of providing reference for the researches on rice disease recognition. Prospect of future development trend and research direction in this field is also predicted.
Urban traffic flow forecast based on dual path network
Authors: Li Hao , Liu Xudong , Kang Yan , Zhang Yachuan , Bu Rongjing 
Published: March 2020

Abstract
Traffic flow prediction is very important for city construction.Time and space factors have a great impact on traffic flow, Traditional traffic prediction methods can only capture temporal correlations and not capture spatial and regional correlations. The use of convolutional neural networks can well capture the correlation between regions and the dependence between time and space, which can make traffic prediction more accurate. Therefore we introduced the dual-path network, and divided the traffic profile after convolution into two paths and trained at the same time. One path is ResNet and one path is DenseNet. The dual path network combines the advantages of these two networks for traffic prediction. The experimental results show that compared with the traditional traffic prediction model, the model not only improves the efficiency of the network but also improves the prediction accuracy of the network.
Impact of Beijing-Guangzhou High-speed Rail on Capital Accumulation in Cities Along the Line
Authors: Cheng Qianwen 
Published: March 2020

Abstract
The development of transportation has triggered regional element flows by changing the location conditions of cities along the route. In recent years, with the full implementation of the National Medium and Long-term Railway Network Plan, China’s high-speed railway network layout has continued to expand, and high-speed rail has become an important means of transportation for people. The development of high-speed railways will definitely have a wide-ranging and far-reaching impact on the concentration of elements along the route. This article takes the Beijing-Guangzhou high-speed rail as an example, adopts the matching idea as the high-speed rail experimental group to match the control group, and estimates the impact of high-speed rail on the accumulation of capital factors by constructing a double difference model. The results show that the completion of the Beijing-Guangzhou high-speed rail has made a significant contribution to capital agglomeration.
Development of a framework to assess preschool children’s numeracy
Authors: Ghazali M , Ashari Z M 
Published: March 2020

Abstract
Children numeracy refers to the ability to do basic arithmetic operations, understanding the simple mathematical ideas and applying the knowledge and skills in mathematics in daily life. It requires an understanding of the ability to process, interpret and communicate numerical in ways that are appropriate for a variety context. This paper will discuss research that was undertaken with the primary purpose of developing the children’s numeracy framework in the following components: comparison, classification, one-to-one correspondence and seriation. The framework was developed based on the existing framework from other researchers and modified to suit with Malaysian preschool curriculum. Feedbacks were obtained from experts and preschool teachers on the suitability of the framework in relation to the National Preschool Standard Curriculum (2010). Six preschool children from 5 to 6 years old were interviewed to ascertain their representation (manipulative model, symbolic, static pictures, written language and spoken language) while answering the question given. The framework that was developed will be presented together with the pilot findings from the interviews.
Teaching mathematics using snakes and ladders game to help students understand angle measurement
Authors: Vitoria L , Ariska R , Farha  , Fauzi  
Published: March 2020

Abstract
Mathematics for young learners should be taught in a fun way, using a familiar context. Incorporating games into the classroom is a way to engage students in mathematics and hence improve their learning outcomes. This article reports a qualitative study conducted to improve students’ understanding of angle measurement by implementing snakes and ladders game. A class consisted of 30 fourth-grade students at a primary school in Banda Aceh, Indonesia, participated in the study. Data on the students’ activity during learning and their learning outcomes were collected using observation sheet and tests. Results showed that the implementation of the snakes and ladders game in the teaching and learning of angles successfully improved the students’ attention during learning and their interactions with the teacher and their peers. There was also a significant improvement in the students’ learning outcomes from the average score of 45 for pre-test to 85 for post-test. These findings suggest that the implementation of snakes and ladders game is beneficial for students’ mathematics learning.
Development of mathematical teaching materials based on project-based learning to improve students’ HOTS and character
Authors: Sofiyan S , Amalia R , Suwardi A B 
Published: March 2020

Abstract
This study aims to develop mathematics teaching materials based on a project- based learning model, that help improve students’ Higher-Order Thinking Skill (HOTS) and character. This type of research is developmental research that adheres to the ADDIE development model, which includes analysis, design, development, implementation, and evaluation. The participants were 25 preservice teachers enrolled at the basic mathematics course in one of university in Aceh, Indonesia. The study results showed that the teaching materials that had been developed were appropriate to use in learning and the feasibility of content, design, and language met the valid criteria. Students’ responses to the teaching materials were very good to support and accomplish lectures. The teaching materials tested were able to improve students’ HOTS, based on the pre-test results with an average score of 67 and the post-test results with an average score of 88. Besides, the average score of student character increased by 20% in the good category and by 16.67% in the very good category. To sum up, the mathematics teaching materials based on the project-based learning model are considered valid, practical, and effective.
The thinking process of quitter students in solving open-ended mathematical problems
Authors: Padliadi  , Marwan  , Zubainur C M 
Published: March 2020

Abstract
Most Indonesian classes consist of many students coming from various background of ethnicity, cultures and fighting power. The fighting power possessed by a student is classified into three levels, namely high (climber), moderate (camper) and low (quitter). The facts in the field show that there are still many quitter students who need teachers to accommodate their needs in solving mathematical problems. One way to help quitter students solve problems is by giving open-ended questions. This research aims to describe the thinking process of quitter students in solving problems through open-ended questions. This research was a descriptive study with a qualitative approach. The research subjects were two seventh- grade students of Banda Aceh SMPN 19, both of them represented quitter students. Data collection was done by giving open-ended math questions and interviews. The results showed that in solving open-ended mathematical problems, quitter students conducted assimilation and accommodation in understanding problems, implemented problem-solving plans and checking problems, and the quitter students thought assimilatively in planning problem solving. This research can be used in considering the selection of methods and strategies appropriate for quitter students in the mathematics learning process.
The teachers ability and response concerning Spatial Orientation
Authors: Johar R , Zubainur C M , Khairunnisak C , Elizar E , Suhartati  , Syukri M 
Published: March 2020

AbstractThis paper examined the profile of secondary school mathematics teachers about spatial orientation. Participants in this study were 20 secondary school teachers who participated in a mathematics learning workshop related to designing a floor plan. Usually, the teacher conducts weekly or monthly meetings through the group of mathematics teachers in Banda Aceh, Indonesia. The teachers were given a spatial orientation test before and after the workshop, four of them were interviewed. The data obtained were analysed descriptively. The results showed that there is an increase in the teacher spatial orientation ability score after the workshop. The findings also reported some teachers had difficulty in solving the spatial orientation problems because they were not familiar with determining the direction. In addition, most teachers agreed that spatial test is necessary for the students despite their concern about the time constraint. Thus, we suggest utilizing technology to overcome such an issue.
Students’ critical mathematical thinking process based on their cognitive styles
Authors: Marjuwita  , Johar R , Zubainur C M 
Published: March 2020

Abstract
Students’ critical mathematical thinking skills are relatively low. Efforts to improve these skills can be made through specific strategies that require information about the critical thinking processes based on students’ cognitive styles. This study is qualitative research that aims to describe students’ mathematical critical thinking process based on their cognitive styles. The subjects were two students, one field-dependent student and one field-independent student. These students were selected based on the cognitive style test (i.e., GEFT) considering their ability to communicate well. The data obtained from the interview were analyzed to describe the students’ critical mathematical thinking process. The results showed that the students with both cognitive styles committed a process of convincing. They tried to reason why they arrived at the solution and convinced others either orally or in writing that every step of the solution was done correctly through a systematic way. Besides, the field-independent student carried out a specializing process in which he investigated the problem carefully, identified the information given, and recognized the information required to solve the problem. In the process of selecting learning methods, teachers need to consider students’ cognitive styles so that mathematical critical thinking skills of students with different cognitive styles will increase.
Conceptual and procedural knowledge of junior high school students through realistic mathematics education (RME) approach
Authors: Maulina R , Zubainur C M , Bahrun  
Published: March 2020

Abstract
Mathematics learning that provides the ready-made concepts and procedures without involving students in re-invention the concepts. RME approach is a solution for upgrading the students’ competency in reconstructing the concepts and creating the procedures to solve the mathematical problems. This research aims to identify the students’ conceptual and procedural knowledge through the RME approach based on the students’ ability level. This study used a mixed-method and involved the Year 7 students as the sample. The data were analyzed using percentage and explained descriptively. The results indicated that the percentage of the procedural knowledge of the high and medium-achieving students was 80%, categorized as very good, while the percentage of the low-achieving students was 42.8% (adequate). The conceptual knowledge of the high, medium and low-achieving students was very good (84%), good (72.7%) and adequate (42.8%). The conceptual knowledge of the low-achieving students was higher than their procedural knowledge by 2,8%. The results showed that the medium-achieving students tended to be varied and flexible in applying their ideas to solve the procedural problems, meanwhile the high-achieving students inclined to memorize the concept and use a formula in solving the problems.
The students’ mastery of fraction and its relation to the students’ abilities on its prerequisites
Authors: Yuniara R , Salasi  , Ellianti  , Saminan  , Abidin Z 
Published: March 2020

Abstract
Fraction is one of the important topics in learning mathematics. However, it is still challenging for students. Lack of students’ mastery of the prerequisite topics might be one of the potential causes. For this reason, this study aims to: 1) Investigate whether students’ mastery of fractions and prerequisite topics in the 7th grade of a junior high school in Banda Aceh, Indonesia has reached the minimum learning mastery standard and 2) Investigate the relationship between students’ mastery of fractions and their abilities to understand the prerequisite topics in the 7th grade of a junior high school in Banda Aceh, Indonesia. This study used a quantitative approach. Data were collected from 50 students selected randomly from all of the 7th grade students in the junior high school. The results showed that the students’ mastery of fractions and their abilities to understand the prerequisites has achieved the minimum learning mastery standard. Also, there is a significant relationship between students’ fractions mastery and their abilities in the prerequisites. Finally, the lack of students’ mastery of the prerequisites resulted in students’ beliefs that the concept of fractions is difficult.
Students’ logical-mathematical intelligence through the problem-solving approach
Authors: Azinar J A , Munzir S , Bahrun  
Published: March 2020

AbstractLogical-mathematical intelligence is one of the most dominant components of multiple intelligences in mathematics learning because it can be built in all topics in mathematics. Logical-mathematical intelligence is the ability of students in terms of numbers and logic, which involves the skills to process words and numbers, to use logic and analyze problems logically, to find formulas and to do investigations scientifically. The purpose of this study is to describe the logical-mathematical abilities of high school students. A total of 25 seventh-grade students in a junior high school in Banda Aceh participated in this study, but only three of them, with high, medium, and low criteria of logical-mathematical intelligence based on the test results, were selected to observe and analyze their logical-mathematical abilities. Data were conducted from a test and interview. The instrument used in this study was a student test sheet. The results showed that only a small number of students (three out of 25) had logical-mathematical intelligence in the indicators of numeracy and problem-solving. Then, it can be concluded that the students’ logical-mathematical intelligence is still low and needs to be further investigated.
The mathematics learning based on realistic mathematics to improve the mathematical representation ability in elementary school
Authors: Fathiya  , Johar R , Ahmad A , Annisa D 
Published: March 2020

Abstract
The ability of mathematical representation is one of the crucial aspects for students However, the learning materials for elementary school students was limited. This study aimed to examine the effectiveness of mathematics learning materials based on the realistic mathematics approach to improve the representation ability of elementary students. This research was conducted by developing learning material that is valid, practical, and effective. This paper only discussed the results of the effectiveness test. Participants of this study were 20 students at Year 5 from one of primary school at Banda Aceh, Indonesia. The research instrument in this study was a test of students’ mathematical representation abilities. The results showed that 1) the average score of student on-task activities is accounted for 90.06%; 2) the average activity of students shows above 90%; 3) there is an increase in the tendency of formative test scores at each meeting; 4) more than 50% of students give a positive response to the teaching-learning materials developed; and 5) the teacher provides a positive response to the teaching-learning materials developed. Since the developed learning materials satisfied 5 of the 6 effectiveness indicators, then the learning materials developed using realistic mathematics approach meet the effectiveness criteria.
Student strategy in solving PISA problem through realistic mathematics education approach
Authors: Fitri K A , Johar R , Zubainur C M , Umam K 
Published: March 2020

Abstract
The PISA assessment shows that Indonesia ranked under international standard from the year 2000 until 2012. Student strategies were identified as part of student problem-solving in PISA problem. In solving the PISA problem, students have to translate the daily life problem into the mathematics language, solve and re-translate it into the everyday language. Realistic Mathematics Education (RME) is an approach that emphasises mathematics as student daily life activities to be associated as the primary point into the learning context. This study was conducted to determine student strategies in solving the PISA problem through the RME approach. This study was held through three meetings; two meetings for the learning process and one for the assessment. The data were collected by conducting a test on a total of 29 seventh grade students in Banda Aceh as well as interviewing five of them. The results revealed that there are some student strategies used in solving the PISA problem through the RME approach. The strategies are look for a pattern, make a drawing or diagram, guess and check, and work backwards.