Research on Land Utilization Information Publishing Based on Google Maps

2014 ◽  
Vol 644-650 ◽  
pp. 4009-4012
Author(s):  
Xiao Yu Zhang ◽  
Xiang Li
Keyword(s):  
Response Speed ◽  
Fast Response ◽  
Data Publishing ◽  
Support Vector ◽  
Vector Data ◽  
Land Utilization ◽  
Google Maps ◽  
Web Map ◽  
Ajax Technology ◽  
Information Publishing

At present, the common Web map service only supports browse and query, but does not support vector data publishing. This paper proposed a WebGIS construction method based on Google Maps, which supports the interoperation and spatial analysis of vector data of many browsers. Aiming at the land utilization information publishing requirement in Zhengzhou City, adopting B/S frame, with the help of Google Maps API and AJAX technology, we realized a systematized and standardized publishing platform for land utilization information. This platform has a fast response speed, faces various types of users, supports data sharing and can provide a better service for studies on land utilization change and decision-making on land consolidation.

scholarly journals Application of Google Maps API service for creating web map of information retrieved from CORINE land cover databases

2010 ◽  
Vol 90 (4) ◽  
pp. 103-114 ◽  
Author(s):  
Milan Kilibarda ◽  
Dragutin Protic ◽  
Ivan Nestorov
Keyword(s):  
Land Cover ◽  
Urban Areas ◽  
Reference Data ◽  
Data Sets ◽  
Google Maps ◽  
Corine Land Cover ◽  
Web Map ◽  
Ajax Technology ◽  
Classical Analogue ◽  
Fundamental Reference

Today, Google Maps API application based on Ajax technology as standard web service; facilitate users with publication interactive web maps, thus opening new possibilities in relation to the classical analogue maps. CORINE land cover databases are recognized as the fundamental reference data sets for numerious spatial analysis. The theoretical and applicable aspects of Google Maps API cartographic service are considered on the case of creating web map of change in urban areas in Belgrade and surround from 2000. to 2006. year, obtained from CORINE databases.

Helicopter main reduction planetary gear fault diagnosis method based on SVDD

2020 ◽  
Vol 64 (1-4) ◽  
pp. 137-145
Author(s):  
Yubin Xia ◽  
Dakai Liang ◽  
Guo Zheng ◽  
Jingling Wang ◽  
Jie Zeng
Keyword(s):  
Fault Diagnosis ◽  
Planetary Gear ◽  
Gaussian Kernel ◽  
Support Vector ◽  
Support Vector Data Description ◽  
Vector Data ◽  
Energy Characteristics ◽  
Gear Fault ◽  
Channel Information ◽  
Diagnosis Method

Aiming at the irregularity of the fault characteristics of the helicopter main reducer planetary gear, a fault diagnosis method based on support vector data description (SVDD) is proposed. The working condition of the helicopter is complex and changeable, and the fault characteristics of the planetary gear also show irregularity with the change of working conditions. It is impossible to diagnose the fault by the regularity of a single fault feature; so a method of SVDD based on Gaussian kernel function is used. By connecting the energy characteristics and fault characteristics of the helicopter main reducer running state signal and performing vector quantization, the planetary gear of the helicopter main reducer is characterized, and simultaneously couple the multi-channel information, which can accurately characterize the operational state of the planetary gear’s state.

MK-FSVM-SVDD: A Multiple Kernel-based Fuzzy SVM Model for Predicting DNA-binding Proteins via Support Vector Data Description

2020 ◽  
Vol 15 ◽  
Author(s):  
Yi Zou ◽  
Hongjie Wu ◽  
Xiaoyi Guo ◽  
Li Peng ◽  
Yijie Ding ◽  
...  
Keyword(s):  
Dna Binding ◽  
Binding Proteins ◽  
Detection Efficiency ◽  
Dna Binding Proteins ◽  
Support Vector ◽  
Support Vector Data Description ◽  
Vector Data ◽  
Data Description ◽  
Multiple Kernel ◽  
Svm Model

Background: Detecting DNA-binding proetins (DBPs) based on biological and chemical methods is time consuming and expensive. Objective: In recent years, the rise of computational biology methods based on Machine Learning (ML) has greatly improved the detection efficiency of DBPs. Method: In this study, Multiple Kernel-based Fuzzy SVM Model with Support Vector Data Description (MK-FSVM-SVDD) is proposed to predict DBPs. Firstly, sex features are extracted from protein sequence. Secondly, multiple kernels are constructed via these sequence feature. Than, multiple kernels are integrated by Centered Kernel Alignment-based Multiple Kernel Learning (CKA-MKL). Next, fuzzy membership scores of training samples are calculated with Support Vector Data Description (SVDD). FSVM is trained and employed to detect new DBPs. Results: Our model is test on several benchmark datasets. Compared with other methods, MK-FSVM-SVDD achieves best Matthew's Correlation Coefficient (MCC) on PDB186 (0.7250) and PDB2272 (0.5476). Conclusion: We can conclude that MK-FSVM-SVDD is more suitable than common SVM, as the classifier for DNA-binding proteins identification.

scholarly journals Tin Disulfide-Coated Microfiber for Humidity Sensing with Fast Response and High Sensitivity

Crystals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 648
Author(s):  
Aijie Liang ◽  
Jingyuan Ming ◽  
Wenguo Zhu ◽  
Heyuan Guan ◽  
Xinyang Han ◽  
...  
Keyword(s):  
Humidity Sensor ◽  
Small Diameter ◽  
High Sensitivity ◽  
Large Change ◽  
Small Variation ◽  
Response Speed ◽  
Fast Response ◽  
Tin Disulfide ◽  
Recovery Times ◽  
Response And Recovery

Breath monitoring is significant in assessing human body conditions, such as cardiac and pulmonary symptoms. Optical fiber-based sensors have attracted much attention since they are immune to electromagnetic radiation, thus are safe for patients. Here, a microfiber (MF) humidity sensor is fabricated by coating tin disulfide (SnS2) nanosheets onto the surface of MF. The small diameter (~8 μm) and the long length (~5 mm) of the MF promise strong interaction between guiding light and SnS2. Thus, a small variation in the relative humidity (RH) will lead to a large change in optical transmitted power. A high RH sensitivity of 0.57 dB/%RH is therefore achieved. The response and recovery times are estimated to be 0.08 and 0.28 s, respectively. The high sensitivity and fast response speed enable our SnS2-MF sensor to monitor human breath in real time.

scholarly journals Self-Powered All-Inorganic Perovskite Photodetectors with Fast Response Speed

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Ting Zhang ◽  
Shibin Li
Keyword(s):  
High Performance ◽  
Solution Process ◽  
Response Speed ◽  
Fast Response ◽  
Single Step ◽  
Inorganic Perovskite ◽  
Perovskite Materials ◽  
Photoactive Materials ◽  
Self Powered ◽  
Solvent Processing

AbstractIn this manuscript, the inorganic perovskite CsPbI2Br and CsPbIBr2 are investigated as photoactive materials that offer higher stability than the organometal trihalide perovskite materials. The fabrication methods allow anti-solvent processing the CsPbIxBr3−x films, overcoming the poor film quality that always occur in a single-step solution process. The introduced diethyl ether in spin-coating process is demonstrated to be successful, and the effects of the anti-solvent on film quality are studied. The devices fabricated using the methods achieve high-performance, self-powered and the stabilized photodetectors show fast response speed. The results illustrate a great potential of all-inorganic CsPbIxBr3−x perovskites in visible photodetection and provide an effective way to achieve high performance devices with self-powered capability.

Bridge health anomaly detection using deep support vector data description

2021 ◽  
Author(s):  
JianXi Yang ◽  
Fei Yang ◽  
Likai Zhang ◽  
Ren Li ◽  
Shixin Jiang ◽  
...  
Keyword(s):  
Anomaly Detection ◽  
Support Vector ◽  
Support Vector Data Description ◽  
Vector Data ◽  
Data Description ◽  
Deep Support

High performance self-powered CuZnS/GaN UV photodetectors with ultrahigh on/off ratio (3 × 108)

2021 ◽  
Vol 9 (14) ◽  
pp. 4799-4807
Author(s):  
Yong Zhang ◽  
Weidong Song
Keyword(s):  
Chemical Bath Deposition ◽  
High Performance ◽  
Response Speed ◽  
Fast Response ◽  
Uv Photodetector ◽  
Uv Photodetectors ◽  
Simple Chemical ◽  
Self Powered

P-CuZnS/n-GaN UV photodetector is prepared by a simple chemical bath deposition, showing excellent self-powered properties, including ultrahigh on/off ratio (3 × 108), fast response speed (0.14/40 ms) and large detectivity of 3 × 1013 Jones.

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