2018 7th International Conference on Digital Home (ICDH)最新文献_第2页

Indoor Location Fusion Algorithm Based on Smartphone 基于智能手机的室内定位融合算法

2018 7th International Conference on Digital Home (ICDH) Pub Date : 2018-11-01 DOI: 10.1109/ICDH.2018.00059

Zhongshuai Wang, Jiayu Huang, Yanhao Tang, Zhuo Shi, Rushi Lan

{"title":"Indoor Location Fusion Algorithm Based on Smartphone","authors":"Zhongshuai Wang, Jiayu Huang, Yanhao Tang, Zhuo Shi, Rushi Lan","doi":"10.1109/ICDH.2018.00059","DOIUrl":"https://doi.org/10.1109/ICDH.2018.00059","url":null,"abstract":"In order to improve the accuracy of indoor localization and the convenience of the user, This paper presents a fusion positioning algorithm using the local binary patterns’ feature approach to achieve ubiquitous and accurate positioning for smartphones and tablets. It is based on loosely coupling WiFi-based positioning and image analysis, This algorithm comprised of offline stage and online stage. On the offline stage, WiFi fingerprints were collected, and a fingerprint library sampled in different positions in the coordinate system was constructed. Photos were taken in that stage to extract the image features. On the online stage, the first filter process was to determine the possible area where the user is currently by using WiFi information captured in real-time. Then a distance compensation algorithm was proposed in this paper to extract features of the real-time image taken by the user to determine the exact localized position. Experimental results show that this algorithm can effectively improve localization precision compared with traditional WiFi and image based localization methods in environments with fewer APs (Access Points) and similar layouts, thus is capable for general localization or LBS (Location-Based Service) relevant applications.","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129042930","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}

引用次数: 1

Sketch-Based Shape Retrieval via Multi-view Attention and Generalized Similarity 基于多视图注意和广义相似度的草图形状检索

2018 7th International Conference on Digital Home (ICDH) Pub Date : 2018-11-01 DOI: 10.1109/ICDH.2018.00061

Yongzhe Xu, Jiangchuan Hu, K. Zeng, Y. Gong

{"title":"Sketch-Based Shape Retrieval via Multi-view Attention and Generalized Similarity","authors":"Yongzhe Xu, Jiangchuan Hu, K. Zeng, Y. Gong","doi":"10.1109/ICDH.2018.00061","DOIUrl":"https://doi.org/10.1109/ICDH.2018.00061","url":null,"abstract":"Sketch-based shape retrieval has received increasing attention in computer vision and computer graphics. It suffers from the challenge gap between 2D sketches and 3D shapes. In this paper, we propose a generalized similarity matching framework based on a multi-view attention network (MVAN), which can retrieve 3D shape that is most similar to the query sketch. In proposed approach, firstly we compute 2D projections of 3D shapes from multiple viewpoints and utilize a convolutional neural network to extract low level feature maps of these 2D projections. Secondly a multi-view attention network is designed to fuse the feature maps and forms a more accurate 3D shape representation. Meanwhile we use a CNN to extract the feature of sketches. Thirdly the similarity between sketches and 3D shapes is estimated via a generalized similarity model, which fuses some traditional similarity model into a generalized form and optimizes its parameters using a data-driven method. Finally we combine the MVAN and generalized similarity model into a unified network and train the model in an end-to-end manner. The experimental results on SHREC'13 and SHREC'14 sketch track benchmark datasets demonstrate that the proposed method can outperform state-of-the-art methods.","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"91 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131672722","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}

引用次数: 7

Research and Implementation of Personalized Clothing Recommendation Algorithm 个性化服装推荐算法的研究与实现

2018 7th International Conference on Digital Home (ICDH) Pub Date : 2018-11-01 DOI: 10.1109/ICDH.2018.00046

Qianqian Deng, Ruomei Wang, Zixiao Gong, Guifeng Zheng, Zhuo Su

引用次数: 7

A Data Fusion Method of Indoor Location Based on Adaptive UKF 基于自适应UKF的室内定位数据融合方法

2018 7th International Conference on Digital Home (ICDH) Pub Date : 2018-11-01 DOI: 10.1109/ICDH.2018.00052

Shouhua Wang, Dingmei Hu, Xiyan Sun, Suqing Yan, Jianhua Huang, Weimin Zhen, Yunke Li

{"title":"A Data Fusion Method of Indoor Location Based on Adaptive UKF","authors":"Shouhua Wang, Dingmei Hu, Xiyan Sun, Suqing Yan, Jianhua Huang, Weimin Zhen, Yunke Li","doi":"10.1109/ICDH.2018.00052","DOIUrl":"https://doi.org/10.1109/ICDH.2018.00052","url":null,"abstract":"Focus on the problem that indoor location accuracy is generally low and various indoor location technologies are not widely used because some factors such as cost and accuracy. A data fusion method based on adaptive unscented Kalman filter (UKF) indoor location is proposed by analyzing the limitations of signal strength value (RSSI) fingerprint location, geomagnetic localization and inertial navigation location. The algorithm uses six-position error calibration method and Kalman filter to compensate the MEMS-SINS data, and establishes the correlation between location data and RSSI/geomagnetic data based on feature sorting vector fingerprint matching method. Finally, it is proposed to combine the adaptive factor with the unscented Kalman filter for data fusion, which improves the data stability and indoor location accuracy. The experimental results show that the adaptive UKF data fusion using MEMS-SINS/RSSI/geomagnetic data in the indoor environment can combine various advantages and achieve high-precision indoor location with an average absolute position error of 0.563m under the premise of low cost.","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116078378","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}

引用次数: 4

Design and Implementation of Web-Based Dynamic Mathematics Intelligence Education Platform 基于web的动态数学智能教育平台的设计与实现

2018 7th International Conference on Digital Home (ICDH) Pub Date : 2018-11-01 DOI: 10.1109/ICDH.2018.00034

Hao Guan, Yongsheng Rao, Ying Wang, Xiaoxia Li, Ruxiang Chen

{"title":"Design and Implementation of Web-Based Dynamic Mathematics Intelligence Education Platform","authors":"Hao Guan, Yongsheng Rao, Ying Wang, Xiaoxia Li, Ruxiang Chen","doi":"10.1109/ICDH.2018.00034","DOIUrl":"https://doi.org/10.1109/ICDH.2018.00034","url":null,"abstract":"The information and communications technology (ICT) in education can effectively promote the development of ICT in subject by going to depth of a subject, and can practically assist a teaching process and improve the teaching quality. A dynamic mathematics intelligence education platform (DMIEP) is a tool of ICT in subject that goes to the depth of the mathematics subject. This thesis briefly reviews the development of the web-based dynamic mathematics software; proposes that design principles of the web-based, especially a mobile internet-based, DMIEP software should be \"opening and sharing\"; and provides goals to be achieved, such as seamless integration with a system or a third party application in a cross-terminal manner, good expansibility, and intelligence. Under the guidance of the principles and goals, an opening and sharing DMIEP has been designed and implemented, having functions such as relationship-based drawing, geometric graphic transformation, dynamic measurement, dynamics and parameters iteration, geometrical theorem automatic reasoning, and opening interfaces. At present, the platform has been widely used in the mathematics teaching process of primary and secondary schools.","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114849670","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}

引用次数: 3

Using Climate Factors to Predict the Outbreak of Dengue Fever 利用气候因子预测登革热暴发

2018 7th International Conference on Digital Home (ICDH) Pub Date : 2018-11-01 DOI: 10.1109/ICDH.2018.00045

J. Nan, Xianyi Liao, Jie Chen, Xiangping Chen, J. Chen, Guang-hui Dong, Kangkang Liu, Gang Hu

引用次数: 5

The Indoor Positioning Fusion Algorithm of Multi-source and Heterogeneous 多源异构室内定位融合算法

2018 7th International Conference on Digital Home (ICDH) Pub Date : 2018-11-01 DOI: 10.1109/ICDH.2018.00058

T. Gu, Yanhao Tang, Zhongshuai Wang, Rushi Lan, Y. Zhong, Liang Chang

引用次数: 2

Displacement Prediction of Landslide Based on GA-ELM and Optimization of Inducing Factors 基于GA-ELM的滑坡位移预测及诱发因素优化

2018 7th International Conference on Digital Home (ICDH) Pub Date : 2018-11-01 DOI: 10.1109/ICDH.2018.00039

Ying Zhu, Li Zhou, Songhua Xu, Shanwen Guan, Rushi Lan, Xiyan Sun, Xiaonan Luo

{"title":"Displacement Prediction of Landslide Based on GA-ELM and Optimization of Inducing Factors","authors":"Ying Zhu, Li Zhou, Songhua Xu, Shanwen Guan, Rushi Lan, Xiyan Sun, Xiaonan Luo","doi":"10.1109/ICDH.2018.00039","DOIUrl":"https://doi.org/10.1109/ICDH.2018.00039","url":null,"abstract":"The surface of the landslide in the Three Gorges Reservoir area has a \"step-like\" feature. Landslide displacement prediction method based on displacement response component model is one of the main methods for the prediction of landslide displacement. In order to solve problem about displacement prediction of Landslide fluctuation term in reservoirs, the reorganization and optimization of the main priming factors have not been considered yet. And a method for predicting landslide displacement HP-CEEMDAN-GA-ELM based on the reorganization and optimization of time-series CEEMDAN inducing factors has been proposed. Taking the surface displacement data of Baishuihe landslide from January 2008 to December 2012 as an example, the surface displacement time series is decomposed into the trend term displacement and the fluctuation term displacement by using HP filter. This trend item is predicted by GA-ELM. It decomposes predisposing factors through CEEMDAN, and uses gray correlation analysis to determine the optimal recombination factors for inducing factors. Based on Inducer component of reorganization, a GA-ELM model is established to predict the fluctuation term. Compared with multiple prediction models, the experimental results show that the prediction error of the model is small, which further prove the validity of the method.","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132864954","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}

引用次数: 1

A New Algorithm for Attitude Detemination Based on Chicken Swarm Optimization 一种基于鸡群优化的姿态确定新算法

2018 7th International Conference on Digital Home (ICDH) Pub Date : 2018-11-01 DOI: 10.1109/ICDH.2018.00030

Yuanfa Ji, Yue Wu, Xiyan Sun, Suqing Yan, Qidong Chen, Baoqiang Du

引用次数: 0

A New Image Block Encryption Method Based on Chaotic Map and DNA Encoding 一种基于混沌映射和DNA编码的图像块加密新方法

2018 7th International Conference on Digital Home (ICDH) Pub Date : 2018-11-01 DOI: 10.1109/ICDH.2018.00015

Xiyan Sun, Dong-Mei Liu, Yuanfa Ji, Suqing Yan, Chunhai Li, Baoqiang Du

引用次数: 5