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Web Service Research of Urban Geographical Data Based on XML

Web Service Research of Urban Geographical Data Based on XML

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international conference on ITS Telecommunications (ITST)

作者： Gang Qiao Weian Wang Zhangfeng Wu Jinglei Zhang Department of Surveying and Geo-Informatics University of Tongji Shanghai China

With the rapid development of digital city, the urban geographical data (geodata) are accumulated and updated constantly, and the development of Web GIS at its full speed makes geodata on the network more and more abundant. But most of the present GIS systems are isolated and can not communicate and cooperate with each other. To solve this problem, the solution of Web service of urban geodata based on XML is put forward in this paper to the sharing and interoperation of isomerous distributed geodata. the Web service mechanism can be used in ITS for the management of traffic information such as road networks in different areas by integrating them into the same platform and operation system, thus providing the visualization of traffic information and synthetical traffic information services. the paper discusses in theory the key of sharing and interoperation of geodata and presents the service model of combination of metadata and geodata by designing the whole scheme of Web service of urban geographical data based on XML. On the basis of designing, application instances of Web GIS are provided in this paper by setting up several Web services of geodata on surveying and city-planning in Shanghai, China. the paper prospects the development of Web service of geodata in the end

关键词： Web services XML Geographic Information Systems Cities and towns Telecommunication traffic Traffic control Data visualization Information management Roads Bridges

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Design of a Rigid-flexible and Multi-legged Robot Based on a Scorpion Tail Structure

Design of a Rigid-flexible and Multi-legged Robot Based on a...

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robotics, Intelligent control and Artificial Intelligence (RICAI), international conference on

作者： Xiaonuo Yang Junhan Cheng Guangyu Xu Dongmin Li School of Intelligent Equipment Shandong University of Science and Technology Taian China

ISBN: (数字)9798331541699

ISBN: (纸本)9798331541705

In the past few decades, multi-legged robots have been widely used in agriculture, construction, rescue and other fields for their excellent flexibility and good adaptability. However, for most multi-legged robots, due to the limitation of their materials and layout, they can only complete some simple tasks. According to the physical characteristics of scorpions, this paper studies a rigid-flexible hexapod soft robot, which uses traditional rigid materials as the main trunk and six walking feet. the scorpion tail bionic structure is also used as the end pneumatic soft actuator to adapt to different situations and realize the overall rigid-flexible combination. the robot uses a triangular gait algorithm combined with fuzzy PID for motion control. the Lora module aims to upload the information in the camera module, barometer module and self-developed circuit module to the cloud platform. Meanwhile, issue commands through the cloud platform. Such a structural design innovation enables the robot to have stronger adaptability and flexibility in grasping operation, which provides new insights for their subsequent development.

关键词： Technological innovation Accuracy Target recognition Scalability Robot vision systems LoRa Tail Grasping Soft robotics Software

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ChatGPT and Unified State Exam in Computer Science

ChatGPT and Unified State Exam in Computer Science

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international Youth conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Vladislav S. Popov Informatics and Control Systems Bauman Moscow State Technical University Moscow Russia

In this paper, it is presented the obtained and studied statistics of solving tasks of demo versions of the Unified State Exam (USE) in Computer Science 2011-2023 using the GPT-3.5 language model and ChatGPT. the obtained results of the Unified State Examination in Computer Science are presented, their analysis and the results of solving individual tasks are shown, examples of successful solutions of the Unified State Exam tasks in Computer Science, limitations when working with ChatGPT are described. Based on the results of solving exam tasks, ChatGPT scored 47-57 test scores in 2011-2014 before the cancellation of the test part, and also slightly overcame the threshold score in 2015-2017, 2019, 2020, did not score the points necessary for passing the USE in Computer Science in 2018, 2021-2023. Based on the obtained research data, a gradual complication of the USE exam model in Computer Science is shown, in which the test part of the exam in 2015 is abandoned and the computer format of the exam is introduced in 2021. Using the example of the USE in Computer Science, it is shown that ChatGPT, GPT-3.5 and similar language models can serve tool for expert assessment of the complexity of examination tasks and examination model.

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A Particle based 6-GLMB Filter for MTT with a Single thermal Camera

A Particle based 6-GLMB Filter for MTT with a Single Thermal...

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international conference on control, automation and Information Sciences (ICCAIS)

作者： Benjamin thedy Martin Adams Leonardo Cament Dept. of Electrical Engineering Universidad de Chile Santiago Chile Dept. of Electrical Engineering & AMTC Universidad de Chile Santiago Chile Dept. of Applied AI & Robotics Aston University UK

ISBN: (数字)9798331542047

ISBN: (纸本)9798331542054

In autonomous vehicle systems, imaging sensors play a critical role in environmental perception, particularly under low-visibility conditions. this paper introduces a method for tracking objects using a single thermal camera. By employing a particle based $\delta$ -GLMB Filter, we achieve accurate tracking of the directional movements of objects. Although constrained to angular only measurements by the use of a single camera, this study represents an initial investigation into the integration of thermal cameras with $\delta$ -GLMB filtering for object tracking, laying the groundwork for future advances in this area.

关键词： Target tracking Pedestrians Tracking Cameras Information filters Probabilistic logic Sensor systems Robustness Sensors Clutter

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A study on Ant Miner parameters

A study on Ant Miner parameters

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international conference on Information, Intelligence, Systems and Applications (IISA)

作者： Raul Robu Cristian Vasar Nicolae Robu Ştefan Holban Department of Automation and Applied Informatics Politehnica University Timişoara Timişoara România Universitatea Politehnica din Timisoara Timisoara RO Department of Computers Politehnica University Timişoara Timişoara România

Ant Miner is the application of Ant Colony Optimization algorithm in data classification problem. Since it was proposed by Parpinelli et al., in 2001, a lot of data classification studies were performed with the aid of this algorithm. Also a lot of comparisons were performed between the results obtained with this algorithm and the results obtained by improved Ant Miner algorithms. Usually, in different studies different values were chosen for the input parameters such as the number of ants, the minimum number of instances covered by each rule, and so on. So we ask the question how to choose the values of input parameters in order to obtain good results for output parameters like prediction accuracy, the number of discovered rules and the execution time? In this paper we run on 15 datasets obtained from UCI Machine Learning Repository a number of 32 combinations of input parameters, and we try to find connections between the values of the input parameters and the obtained results. Finally we wrote a set of remarks regarding Ant Miner parameters, which may be useful in choosing input parameters in different studies in order to obtain overall good results. Before starting the experiments we performed a small modification to the Ant Miner open source code in order to assure that each run will work with the same subsets of data, for a fair comparison of results.

关键词： Classification algorithms Prediction algorithms Algorithm design and analysis Ant colony optimization Training Particle swarm optimization Convergence

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Design of Vision-guided Gripping System for 6DOF Robots Combined with Dexterous Hands

Design of Vision-guided Gripping System for 6DOF Robots Comb...

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robotics, control and automation Engineering (RCAE), international conference on

作者： Chengwen Wang Guoyang Wan Hanqi Li Xuna Li Da Zheng Mingyao Teng Dept. School of Electrical Engineering Anhui University of Engineering Wuhu

ISBN: (数字)9798350355642

ISBN: (纸本)9798350355659

In the robot application system incorporating dexterous hand, a vision-based robot grasping system is proposed to address the lack of robustness of dexterous hand in grasping fixed attitude objects. First, a 6DOF robot grasping system based on machine vision is constructed using dexterous hand, depth camera and 6DOF collaborative robot, which realizes accurate grasping under vision guidance; second, to solve the problem of vision system's poor localization accuracy due to the loss of image information and features caused by image noise, occlusion and complex background in the process of image processing, a pooling layer and attention mechanism to enhance the feature extraction ability; moreover, an optimized dexterous hand grasping strategy is proposed through exhaustive grasping action design and analysis, which effectively improves the robustness of the system. the experimental results show that the accuracy of the target detection model reaches 87% through the localization measurement of the experimental objects, which is 2.1% higher than the original method, and the grasping success rate of the robotic system equipped with dexterous hand and depth camera is improved by 3.5%. these results validate the feasibility of the robotic grasping system incorporating dexterous hands in practical applications and significantly enhance the robustness of the system.

关键词： Hands Location awareness Accuracy Machine vision Robot vision systems Grasping Cameras Feature extraction Robustness Robots

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EDCA mechanism and mobility support evaluation in IEEE 802.11s WMNs

EDCA mechanism and mobility support evaluation in IEEE 802.1...

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international conference on Ultra Modern Telecommunications and Workshops (ICUMT)

作者： Maria Zogkou Aggeliki Sgora Periklis Chatzimisios Dimitrios D. Vergados Department of Informatics University of Piraeus Piraeus Greece Department of Informatics Alexander TEI of Thessaloniki Thessaloniki Greece

ISBN: (纸本)9781479952922

IEEE 802.11s Wireless Mesh Networks (WMNs) constitute a cost-effective solution for broadband ubiquitous Internet access. the IEEE 802.11s standard employs the Enhanced Distributed Channel Access (EDCA) as the Medium Access control (MAC) mechanism in order to provide differentiated channel access and Quality of Service (QoS) guarantees for multimedia flows. Under EDCA, traffic is distinguished into four Access Categories (ACs) that have different priority levels, corresponding to Voice, Video, Best Effort and Background, respectively. In this paper, we evaluate the performance of the EDCA in IEEE 802.11s WMNs by simulating pedestrian users moving at low speed for a variety of demanding multimedia applications, such as Real-Time Gaming, video, Voice over IP (VoIP), as well as, web browsing. It should be noted that we have applied IEEE 802.11n as the underlying PHY Layer of the considered IEEE 802.11s network. Our results show that the ACs defined in EDCA do not perform satisfactory resulting in the inappropriateness of the EDCA mechanism for multimedia applications support in WMNs. Furthermore, an additional shortcoming of the IEEE 802.11s amendment that emerged through our simulation results is its inefficiency to support mobility since the velocity of the users significantly impacts the provided QoS.

关键词： IEEE 802.11 Standards Delays Quality of service Streaming media Protocols Topology Broadband communication

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Smoky Vehicle Detection Algorithm Based On Improved Transfer Learning

Smoky Vehicle Detection Algorithm Based On Improved Transfer...

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international conference on Systems and informatics (ICSAI)

作者： Guangming Zhang Dexiong Zhang Xiaobo Lu Yichao Cao Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing China

ISBN: (数字)9781728152561

ISBN: (纸本)9781728152578

With the demand for pollution prevention has increased. Establishing a smoky vehicle inspection and evidence collection system will help to supervise the problem of excessive emissions of vehicles. Because the sample in the training data set is insufficient and unbalanced, the existing methods cannot obtain sufficient classification accuracy in the classification task of the smoky vehicle. this paper uses the transfer learning method to compare the effects of smoky car classification tasks on the five basic networks of DenseNet, NasNet, Inception, VGG19, MobileNet. In addition, for the classification task of the smoke vehicle, it is necessary to consider both the global information of the tail of the vehicle and the detailed information of the smoke area. In this paper, the global average pooling layer is changed to the spatial pyramid pooling layer, and it has achieved better results. Finally, the classification Precision nearly 0.1, Recall 0.3 are obtained, which is much better than the traditional classification method and the shallow non-transfer deep learning method.

关键词： informatics

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Human Activity Recognition by BiLSTM Recurrent Neural Networks and Support Vector Machine

Human Activity Recognition by BiLSTM Recurrent Neural Networ...

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international conference on Engineering Technology and their Applications (IICETA)

作者： Ameer Ali Ridha Ihab Almaameri László Blázovics Haider Mohammed Abbas Ministry of Education General Directorate of Education in Najaf Najaf Iraq Department of Automation and Applied Informatics Budapest University of Technology and Economics Budapest Hungary The Islamic University Najaf Iraq

In the last years of this decade, the recognition of human activity has become important to a wide range of researchers in pattern recognition and human-computer interaction as a result of its wide range of real-world applications, such as gesture recognition, biometric user identification, surveillance by authorities, behavior analysis and health monitoring of the elderly. Human Activity Recognition (HAR) has become a significant topic in mobile and ubiquitous computing as a result of the widespread use of wearable sensor devices and the Internet of things (loT). Deep Learning (DL) is one of the most commonly used problem-solving techniques in the HAR system. Nevertheless, there are major challenges in applying HAR to problems in recognizing various human activities. In this paper, presented and showed the activities of implementing a new combination of DL methods for multi-class user activity identification to HAR. Using DL methods can be extracting discriminative features automatically from raw sensor data. Specifically, in this work, we proposed a hybrid architecture that features a combination of Bidirectional Long Short-Term Memory (BILSTM) networks and support vector Machines (SVM) for the HAR task. the UCI HAR dataset is used to test the model, it consists of accelerometer and gyroscope data obtained from smartphones. the dataset is split into 30 % for testing and 70% for training. the results for the (BILSTM-SVM) model, showed that the highest accuracy for all users was 98.74 %, higher than all previous models using the same dataset.

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Capturing the intangible: An introduction to the i-treasures project

Capturing the intangible: An introduction to the i-treasures...

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9th international conference on Computer Vision theory and Applications, VISAPP 2014

作者： Dimitropoulos, Kosmas Manitsaris, Sotiris Tsalakanidou, Filareti Nikolopoulos, Spiros Denby, Bruce Kork, Samer Al Crevier-Buchman, Lise Pillot-Loiseau, Claire Adda-Decker, Martine Dupont, Stephane Tilmanne, Joelle Ott, Michela Alivizatou, Marilena Yilmaz, Erdal Hadjileontiadis, Leontios Charisis, Vassilios Deroo, Olivier Manitsaris, Athanasios Kompatsiaris, Ioannis Grammalidis, Nikos Information Technologies Institute Centre for Research and Technology Hellas Thessaloniki Greece Robotics Lab Dep. of Mathématiques et Systèmes MINES ParisTech-ARMINES Paris France Universite Pierre et Marie Curie Paris 6 Paris France Centre National de la Recherche Scientifique Laboratoire de Phonétique et Phonologie UMR 7018 Paris France Universite de Mons Mons Belgium Consiglio Nazionale Delle Ricerche Genoa Italy University College London London United Kingdom Turk Telekom Ankara Turkey Aristotle University of Thessaloniki Thessaloniki Greece Acapela Group Mons Belgium MTCG Lab Dep. of Ap. Informatics University of Macedonia Thessaloniki Greece

ISBN: (纸本)9789897580048

Cultural expression is not limited to architecture, monuments or collections of artifacts. It also includes fragile intangible live expressions, which involve knowledge and skills such as music, dance, singing, theatre, human skills and craftsmanship. these manifestations of human intelligence and creativeness constitute our Intangible Cultural Heritage (ICH), a basic factor of local cultural identity and a guaranty for sustainable development. In this paper, we briefly introduce the i-Treasures research project, which aims at developing an open and extendable platform to provide access to ICH resources, enable knowledge exchange and contribute to the transmission of rare know-how. the project goes beyond digitization of cultural content;it creates new knowledge that has never been analysed or studied before through novel methodologies for the analysis and modelling of ICH based on multisensory technology. High-level semantics are extracted enabling researchers to identify possible implicit or hidden correlations between different ICH expressions or interpretation styles and study the evolution of a specific ICH. Four different ICH cases are studied: traditional songs, dance interactions, pottery and contemporary music composition Combining conventional learning procedures and sensorimotor learning through an interactive 3D environment, i-Treasures breaks new ground in education and knowledge transfer of ICH. Copyright © 2014 SCITEPRESS - Science and Technology Publications. All rights reserved.

关键词： Semantics

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