{"title":"A Review of Text Classification Based on Deep Learning","authors":"Yifan Zhou","doi":"10.1145/3397056.3397082","DOIUrl":"https://doi.org/10.1145/3397056.3397082","url":null,"abstract":"Text classification is the process of discriminating predetermined text into a certain class or some certain classes. Text categorization has important applications in redundant filtering, organization management, information retrieval, index building, ambiguity resolution, and text filtering. This paper we will mainly introduce the research background of text classification and tracks the research dynamics of text classification at home and abroad. Text classification is an essential component in many NLP problems. Neural network model had achieved extraordinary effect in text classification. So we will discuss how the general methods with deep learning to deal with text classification problems, including Convolution Neural Network(CNN), Recurrent convolution neural network(RCNN), Long Short-Term memory(LSTM), and fastCNN. CNN can construct the representation of text using a convolutional neural network. RNN does well in capturing contextual information. LSTM is explicitly designed for time-series data for learning long-term dependencies. Besides, we will introduce the distributed representation, such as Continuous Bags of Words(CBOW) and Skip-Gram. And analyze the advantages of word2vec model over on-hot encoding.","PeriodicalId":365314,"journal":{"name":"Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126931852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fishing Techniques Classification Based on Beidou Trajectories and Machine Learning","authors":"Yao Li, Nanyu Chen, Luo Chen","doi":"10.1145/3397056.3397072","DOIUrl":"https://doi.org/10.1145/3397056.3397072","url":null,"abstract":"Beidou navigation information is widely used in Chinese fisheries. It helps fishermen to locate themselves and hedge. Compared with the data ashore, analysis of satellite data on the ocean is still not enough. Inspired by vehicle trajectory analysis, we want to do some analysis on boat trajectories. Fishing techniques are various, so their trajectories. In this paper, we choose 3 fishing techniques (Trawling, seining and gillnetting). We implement classification with two different algorithms. One of them is ResNet which belongs to image classification with deep learning. The other one is LightGBM which is a kind of decision tree algorithm. The result shows that although deep learning has made great success in daily life images classification, it adds too much redundant pixels and ignore the speed and direction parameters in this task. This leads to a lower precision and more calculations. In contrast, LightGBM can use information effectively and has a higher score with a higher speed. This work shows traditional machine learning algorithm can achieve better result than deep learning algorithm in some circumstance. It will also contribute to establish a smart ocean system.","PeriodicalId":365314,"journal":{"name":"Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114707088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Deceptive Interference Cancellation for GNSS Receiver with Small Forwarding Delay","authors":"Honglei Lin, Zukun Lu, Xiaomei Tang","doi":"10.1145/3397056.3397067","DOIUrl":"https://doi.org/10.1145/3397056.3397067","url":null,"abstract":"The retransmitted GNSS deception signal is a common deception jamming method. When the retransmission delay is less than 1.5 code chips, the correlation peaks of the deception signal and the real signal are overlapped, which makes the receiver unable to capture and track the real signal. To solve this problem, this paper studies the adaptive cancellation method of GNSS deception signal which can be used for small forwarding delay, and designs a closed-loop estimation method of deception signal amplitude, which can realize the adaptive cancellation of deception signal. The analysis and simulation results show that when the delay of forwarding is less than 1.5 chips, the method in this paper can realize the adaptive cancellation of the deception signal, so as to eliminate the influence of the deception signal on the real signal and ensure the small distortion of the real signal.","PeriodicalId":365314,"journal":{"name":"Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124072303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Space-Time Adaptive Processor with Zero Delay for GNSS Antenna Arrays","authors":"Zukun Lu, Yuchen Xie, Honglei Lin, Jingyuan Li, Feiqiang Chen","doi":"10.1145/3397056.3397064","DOIUrl":"https://doi.org/10.1145/3397056.3397064","url":null,"abstract":"Antenna arrays, which equipped with space-time adaptive processor (STAP), could suppress interference effectively in global navigation satellite system (GNSS) receivers. However, they also break the structure of navigation signal, which may introduce significant measurement biases into the receivers. In this letter, we analyze the fundamental reason of introducing measurement biases, and we propose a STAP structure which can preserve the integrity of navigation signal. The delay of the proposed STAP structure is zero in GNSS receivers, which is demonstrated by theory analysis and simulation experiment.","PeriodicalId":365314,"journal":{"name":"Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131611445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xianghao Li, Feiqiang Chen, Zukun Lu, Zhe Liu, G. Ou
{"title":"Overview of Anti-Jamming Technology Based on GNSS Single-Antenna Receiver","authors":"Xianghao Li, Feiqiang Chen, Zukun Lu, Zhe Liu, G. Ou","doi":"10.1145/3397056.3397077","DOIUrl":"https://doi.org/10.1145/3397056.3397077","url":null,"abstract":"With the deterioration of the electromagnetic environment and the escalation of interference intensity and complexity, especially the introduction of electronic and navigation warfare theory, the anti-interference capability of navigation receivers is demanding. Anti-interference has become a problem that navigation receivers must solve. The single-antenna anti-jamming technology plays a pivotal role in scenarios such as high-precision ranging and resource constraints. This article analyzes and summarizes the main anti-jamming methods and algorithm characteristics based on single antenna, discussing the developing trend of single-antenna anti-jamming technology. It has certain significance for the research and engineering application of anti- jamming technology of GNSS single antenna receiver.","PeriodicalId":365314,"journal":{"name":"Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132045200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A GIS and Remote Sensing Approach for Desertification Sensitivity Assessment in Basilicata Region (Italy)","authors":"Marzia Gabriele, M. Previtali","doi":"10.1145/3397056.3397079","DOIUrl":"https://doi.org/10.1145/3397056.3397079","url":null,"abstract":"The evaluation of the environmental sensitivity to desertification of the rapidly changing Mediterranean landscape under the effects of climate change is evidently necessary for planning a sustainable method of management policies. This paper aim is to evaluate the current sensitivity to desertification of Basilicata region in southern Italy, where this phenomenon has been increasing over the past years, without control. Losses are strongly impacting on the potential regional progress, both economic and social, leading also to a huge ecological damage. The analysis was carried out based on the MEDALUS (MEditerrean Desertification and Land Use) model, developed within a dedicated European project. This method identifies the areas of the region that are more likely to be sensible to desertification thought the Environmentally Sensitive Areas (ESAs) index. Starting with this methodology, the model parameters were implemented and then processed with a GIS-based approach, in order to evaluate soil, climate, management and vegetation quality factors, that represent the necessary input for assessing ESAs. The results were useful to indicate that the region is effectively lacking of management policies in those highly sensitive areas, due to a proved scarcity of previous studies on the topic. This study may open new opportunities for a further more conscious planning to prevent landscape, land and soil degradation.","PeriodicalId":365314,"journal":{"name":"Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125076246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Robust Estimation Model for 3D Coordinate Transformations based on Differential Total Least Squares Algorithm","authors":"Fan Wei, Pan Guo-rong, Qi Liyang","doi":"10.1145/3397056.3397062","DOIUrl":"https://doi.org/10.1145/3397056.3397062","url":null,"abstract":"Existing Gauss-Newton methods for solving the problem of 3D similarity transformation are all based on the method of numerical partial derivatives, which can linearize the 3D similarity transformation model by using Taylor expansion for approximated variables to the first order derivative. And by using the linearized 3D transformation model, all of the unknown variables can be obtained by an iterative process. In existing models, the model considering random errors of design matrix is called errors-in-variables (EIV) model. In contrast to the Gauss-Newton methods, a Gauss-quasi-Newton method for solving the problem of 3D similarity transformation is proposed in this paper. In the Gauss-quasi-Newton method, 3D similarity transformation model is linearized by a differential method, and based on the differential linearization model, an iterative robust estimation can be carried out by considering both random errors and gross errors in 3D coordinates of common points. The new method proposed in this paper can be applied to 3D similarity transformation of arbitrary rotational angles. Finally, the new method is validated by three cases, and results showed that the new method is effective and feasible.","PeriodicalId":365314,"journal":{"name":"Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133902222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Empirical Study of Agile Testing in A Distributed Software Development Project","authors":"A. Qahtani","doi":"10.1145/3397056.3397085","DOIUrl":"https://doi.org/10.1145/3397056.3397085","url":null,"abstract":"The software engineering industry has witnessed an increasing number of innovative methods and practices in the last decade at different levels, ranging from development processes to software projects and from testing to verification software products. Extensive studies have been conducted empirically to investigate and discuss the impact of using agile principles in the testing process on distributed teams across geographical boundaries. This empirical study has a similar focus, using a real case study in a distributed domain and applying agile testing to a selected team, compares their outcome with another three teams to determine the impact of involving a client in a testing process to overcome distributed development challenges. The findings indicate a highly positive impact on team productivity when using agile tests as compared with other groups using central distributed team testing. All teams met a 90% testing requirement. However, the group applying agile testing verified more than 99% of all requests entered into the testing process, a notable difference supporting the productivity of any development project.","PeriodicalId":365314,"journal":{"name":"Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123432908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Data-Driven Representation Model of Urban Movement Space","authors":"Harbil Arregui, O. Otaegui, O. Arbelaitz","doi":"10.1145/3397056.3397061","DOIUrl":"https://doi.org/10.1145/3397056.3397061","url":null,"abstract":"Tracking urban mobility with current heterogeneous sensing capabilities has opened a wide research area on analytical and predictive data-driven models for improvements in transport operations and planning. These improvements are applicable for individual users, service providers and decision-makers. People, vehicles and goods move along the city according to the physical resources (roads, bike-lanes, side-walks...) and non-physical resources (such as scheduled public transportation services). We present this set of resources as the Urban Movement Space (UMS). We collect the main challenges and research foundations that geoinformatic approaches need to cope when tackling transportation resources and mobility data. The work presented in this paper proposes a conceptual modelling framework to represent the urban movement space, in order to match observed tracking data accordingly, and allow further analytical queries. Our approach combines an open free-space and network-based space to model the time-varying urban movement space, considering seasonality and uncertainty of multimodal travel options.","PeriodicalId":365314,"journal":{"name":"Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128655815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial Bee Colony for Solving Multi-Objectives Three-Dimensional Knapsack Problem","authors":"Suriya Phongmoo, K. Leksakul, Pongsawat Premphet","doi":"10.1145/3397056.3397087","DOIUrl":"https://doi.org/10.1145/3397056.3397087","url":null,"abstract":"The objectives of this research aim to apply the mathematical model, to propose an Artificial Bee Colony for Solving Three-Dimensional Knapsack Problem and to determine the optimal parameters of an Artificial Bee Colony Algorithm. This work application of heuristic approach is used for optimizing containers loading problem and we has a contract with logistic and transport company in the northern of Thailand to joint on this research. For the containers loading problem are the Three-Dimensional Knapsack Problem and it will be solving the real problem within the supporting of logistic and transport company in the northern of Thailand. However we deal with Nim See Seng Transport 1988 Co., Ltd cause of they are the big transportation company in the north of Thailand. The result of this research will be comparing between performance of the result in OR-Library which is a database that collects the best optimal solution data about Three-Dimensional Knapsack Problem and Artificial Bee Colony Algorithm, on the other hand Artificial Bee Colony Algorithm will be provides the good solutions within the satisfaction computer runtime, maximize profit, minimize empty space and respond to customers satisfaction also.","PeriodicalId":365314,"journal":{"name":"Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis","volume":"256 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134484547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}