International Journal of Hybrid Information Technology最新文献_第5页

Predicting Drug-target Interaction using Support Vector Machine and Invasive Tumor Growth Optimization 利用支持向量机和侵袭性肿瘤生长优化预测药物-靶标相互作用

International Journal of Hybrid Information Technology Pub Date : 2017-09-30 DOI: 10.14257/ijhit.2017.10.9.04

Deyu Tang, Dongwei Cao, Jie Zhao

引用次数: 0

Hiding Information as Main Content Use a Referential Method 使用引用方法将信息隐藏为主要内容

International Journal of Hybrid Information Technology Pub Date : 2017-09-30 DOI: 10.14257/ijhit.2017.10.9.02

Yuan Ren, Xixu Fu

引用次数: 0

Robust Multi-homography Method for Image Stitching under Large Viewpoint Changes 大视点变化下图像拼接的鲁棒多单应性方法

International Journal of Hybrid Information Technology Pub Date : 2017-09-30 DOI: 10.14257/IJHIT.2017.10.9.01

Wuxia Yan, Chuancai Liu, Furong Peng

{"title":"Robust Multi-homography Method for Image Stitching under Large Viewpoint Changes","authors":"Wuxia Yan, Chuancai Liu, Furong Peng","doi":"10.14257/IJHIT.2017.10.9.01","DOIUrl":"https://doi.org/10.14257/IJHIT.2017.10.9.01","url":null,"abstract":"Image stitching technique has many applications in computer vision. Traditional approaches have achieved much success under the assumption that the input images must have little or no parallax. However, this assumption cannot be guaranteed in real-world problems, for example, building images with ground under large viewpoint changes. The traditional methods only use a whole homography for alignment, which will result in severe distortions. To deal with the problem of stitching building images with ground under large viewpoint changes, we propose a robust multi-homography image composition method. It mixes multiple homographies for stitching building images with ground under large viewpoint changes. By calculating different homographies from different types of features, multiple homographies are then be blended with Gaussian weights to construct panorama. The chosen images under various conditions are used to evaluate our proposed method with other methods. The experimental results demonstrate that our proposed method performs higher alignment accuracy and more natural panorama than the traditional projective transformation and some representative state-of-the-art image stitching methods.","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122685300","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: 2

Unsupervised Deep Discriminative Feature Learning for Aerial Image Classification 航空图像分类的无监督深度判别特征学习

International Journal of Hybrid Information Technology Pub Date : 2017-08-31 DOI: 10.14257/ijhit.2017.10.8.10

Tao Shi, Chunlei Zhang, Hongge Ren, Fujin Li

{"title":"Unsupervised Deep Discriminative Feature Learning for Aerial Image Classification","authors":"Tao Shi, Chunlei Zhang, Hongge Ren, Fujin Li","doi":"10.14257/ijhit.2017.10.8.10","DOIUrl":"https://doi.org/10.14257/ijhit.2017.10.8.10","url":null,"abstract":"Nonnegative sparse coding (NSC) is widely utilized as an image representation model. However, conventional NSC methods usually cause large representation errors, lack of spatial information and weak discriminative. In order to overcome these drawbacks, this paper proposes an unsupervised deep discriminative feature learning framework for aerial image classification which is based on Fisher Discriminative Nonnegative Sparse Coding (FDNSC) and Deep Belief Network (DBN). First, image features are extracted by using scale-invariant feature transform (SIFT). Then fisher discriminative analysis is added to construct a NSC with fisher discriminative criterion constraint, thus to obtain the discriminative sparse representation of images. Finally, DBN is combined to perform aerial image classification. The proposed method is applied to OT data set and UC Merced data set. Experimental results show that the proposed method efficiently utilizes spatial information of images and can promote the spatial separability of sparse coefficients, thus improves the classification performance and is more suitable for aerial image classification.","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131647919","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: 0

Content-Based Scalable Multi-View Video Coding Using 4D Wavelet 基于内容的可扩展多视点视频编码使用4D小波

International Journal of Hybrid Information Technology Pub Date : 2017-08-31 DOI: 10.14257/IJHIT.2017.10.8.07

Y. Lai, Qian Wang, Yin Gao

引用次数: 1

An Adaptive and Fast CFAR Algorithm Based on Multithreading for Ship Detection in SAR Image 基于多线程的自适应快速CFAR算法在SAR图像船舶检测中的应用

International Journal of Hybrid Information Technology Pub Date : 2017-08-31 DOI: 10.14257/IJHIT.2017.10.8.05

Ruifu Wang, Jie Li, Y. Hao, Jiagui Li

引用次数: 3

Multi-object Virtual Machine Placement Optimization Method in Cloud Computing Environment 云计算环境下多目标虚拟机布局优化方法

International Journal of Hybrid Information Technology Pub Date : 2017-08-31 DOI: 10.14257/IJHIT.2017.10.8.06

Lijun Xu, Chunlin Li, Xiaoqing Zhang

{"title":"Multi-object Virtual Machine Placement Optimization Method in Cloud Computing Environment","authors":"Lijun Xu, Chunlin Li, Xiaoqing Zhang","doi":"10.14257/IJHIT.2017.10.8.06","DOIUrl":"https://doi.org/10.14257/IJHIT.2017.10.8.06","url":null,"abstract":"The necessity and significance of improving the energy efficiency of cloud implementations have increased due to the rapid growth and proliferation of cloud computing services around the world. This paper has concentrated on consolidation and migration technology in virtualized cloud datacenters as a solution to deal with this high energy consumption problem. We propose VMPA strategy as a novel energy-efficient virtual machine (VM) placement procedure in cloud datacenters. VMPA could reduce the number of active servers in cloud datacenters. Besides, we introduce the central importance of optimizing different targets in cloud datacenters at the same time including total energy consumption, SLA violation and number of VM migration. We present a novel two-threshold method along with VM migration selection algorithm VMMSA as a solution of solving this multi-criteria problem. Two-threshold method can lead to less active servers and VMMSA can generate least number of VM migration. Experimental results show VMPA-VMMSA can improve energy consumption in cloud datacenters, reduce SLA violation and number of VM migration respectively in comparison with state of the arts.","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114326414","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: 0

Impact of Rods Configuration on Electrodes Impedance of Through-the-Earth Communication System 棒的配置对透地通信系统电极阻抗的影响

International Journal of Hybrid Information Technology Pub Date : 2017-08-31 DOI: 10.14257/ijhit.2017.10.8.08

Jianjun Hao, Yongfei Mou, Bingkuan Yan

引用次数: 1

Hardware Design and Implementation of Optoelectronic Pod Control System Based on DSP 基于DSP的光电吊舱控制系统硬件设计与实现

International Journal of Hybrid Information Technology Pub Date : 2017-08-31 DOI: 10.14257/ijhit.2017.10.8.03

Zhigang Feng, M. Jin

{"title":"Hardware Design and Implementation of Optoelectronic Pod Control System Based on DSP","authors":"Zhigang Feng, M. Jin","doi":"10.14257/ijhit.2017.10.8.03","DOIUrl":"https://doi.org/10.14257/ijhit.2017.10.8.03","url":null,"abstract":"The optoelectronic pod always works in complicated environment, so it was impacted inevitably on various of elements such as Windage, Mechanical vibration, Load disturbance and so on. These random factors and nonlinear factors led to reduce the control precision, so much so that it can damage the hard-system of the optoelectronic pod. Traditional control system of optoelectronic pod always adopts PID control algorithm to eliminate errors between control target and actual feedback. However, the traditional PID can’t track variational variables such in the complicated environment. It can led to lower the control precision and slow the speed of response. Self-adaption control system of optoelectronic pod adopts active disturbance rejection control (ADRC) technique which can track the mutational disturbance, estimates it and compensates it. In this paper, optoelectronic pod control system is designed and implemented by using TMS320F28335 to acquire the sensor signals, execute control algorithm, and drive the DC torque motor. The angular displacement sensors acquire the attitude angular displacement and the gyroscope acquires the attitude angular speed. The system can get attitude information of the optoelectronic pod with them. The motor diverters detect the driven current of motor to complete control feedback of DC torque motor. The EEPROM stores control parameters and sends relevant parameters according to DSP instructions. Experimental results indicate that DSP data processing unit can acquire the inner sensors data correctly in normal state, and perform control algorithms steadily in the disturbed environment.","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121721013","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: 0

Research on Application of Lucene Search Engine in Social Network Platform Lucene搜索引擎在社交网络平台中的应用研究

International Journal of Hybrid Information Technology Pub Date : 2017-08-31 DOI: 10.14257/IJHIT.2017.10.8.04

Mei Yu, Wentao Xing, Jian Yu, Gao Jie, Sheng‐Hsiang Ma, Tenghai Wang

{"title":"Research on Application of Lucene Search Engine in Social Network Platform","authors":"Mei Yu, Wentao Xing, Jian Yu, Gao Jie, Sheng‐Hsiang Ma, Tenghai Wang","doi":"10.14257/IJHIT.2017.10.8.04","DOIUrl":"https://doi.org/10.14257/IJHIT.2017.10.8.04","url":null,"abstract":"With the development of Web2.0 technology, social networks begin to play an increasingly important role in people's life. Widely used social network for researchers has brought some potentially useful information, such as the user's interests and preferences. At the same time, constant search results provided by the search engine can not meet the individual needs of users, a new way search engine, personalized search is an urgent need to explore. Based on this demand, the paper from Sina microblog mining user interests, and the use of open-source Lucene search engine completes personalized search. In this paper, the structure and principle of Lucene search engine are summarized and some related knowledge are introduced, such as text preprocessing and vector space model. Then, this article proposes the Lucene TagMatch Ranking (LTR) algorithm. The main idea is using user’s Sina microblog texts to extract tags of interest and measure the matching degree between web pages and user’s interests which named value of tag matching degree by the vector space model, then combine the traditional Lucene scoring mechanism, finally realize personalized ranking results based on the user’s interest. At last the Eclipse programming algorithm based on Java is used to carry out comparison experiment to confirm the effectiveness of the algorithm. The results are presented to the user in the ranking which based on the user’s interests, it will be able to reach recommendation algorithm based on user’s interests.","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130743327","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: 0