International Journal of Hybrid Information Technology最新文献_第4页

Some Common Aspects of Quantum and Classical Interferences 量子和经典干涉的一些共同方面

International Journal of Hybrid Information Technology Pub Date : 2017-12-31 DOI: 10.14257/ijhit.2017.10.12.02

Youssef Khmou

{"title":"Some Common Aspects of Quantum and Classical Interferences","authors":"Youssef Khmou","doi":"10.14257/ijhit.2017.10.12.02","DOIUrl":"https://doi.org/10.14257/ijhit.2017.10.12.02","url":null,"abstract":"In quantum information theory, the particles are characterized by wave behavior where they can be described by particle-wave duality, from this perspective, the waves phenomena were studied theoretically and experimentally for quantum particles such as diffraction and interferences. In the other hand, the classical electromagnetic and acoustics fields are described by wave forms where all wave phenomena are possible including diffraction, refraction and scattering. Focusing on interferences where the superposition principle is valid for both quantum and classical interferences, we present in this paper, some common properties between the quantum interferences and particular case of classical interferences. Based on far field and narrowband classical interferences, the interactions between elementary wave forms are treated using array signal processing, where angular interferometry of wave fields using closely sensors or antennas, permit to localize and estimate the characteristics of the far field sources. Based on the geometry of the displacement of the isotropic and identical antennas and the planar shape of the wave front passing near the array, we present some mathematical common concepts between quantum and classical interferences starting from wave propagation equation to the Von Neumann entropy, we present a detailed description of similarities between the two branches using some tools of operator theory. In the last part, we present a numerical simulation where we show that the introduction of the quantum entropy on classical system of antennas-sources permit to identify different phases of the system with respect to the signal to noise ratio.","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"379 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122175327","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

Experiences in Mining Educational Data to Analyze Teacher's Performance: A Case Study with High Educational Teachers 挖掘教育数据分析教师绩效的经验——以高等教育教师为例

International Journal of Hybrid Information Technology Pub Date : 2017-12-31 DOI: 10.14257/IJHIT.2017.10.12.01

Abdelbaset R. Almasri

引用次数: 4

A Signal-Strategy-Based Spectral Clustering Method for Community Detection in Complex Networks 一种基于信号策略的复杂网络社区检测频谱聚类方法

International Journal of Hybrid Information Technology Pub Date : 2017-11-30 DOI: 10.14257/IJHIT.2017.10.11.02

Yutong Cui, Q. Niu, Zhixiao Wang, Changjiang Du

{"title":"A Signal-Strategy-Based Spectral Clustering Method for Community Detection in Complex Networks","authors":"Yutong Cui, Q. Niu, Zhixiao Wang, Changjiang Du","doi":"10.14257/IJHIT.2017.10.11.02","DOIUrl":"https://doi.org/10.14257/IJHIT.2017.10.11.02","url":null,"abstract":"The community detection has been one of the core subjects in complex networks. Spectral clustering is an efficient method widely used in this field. In spectral clustering, the Laplacian matrix should be built with similarity matrix, however, similarity matrix is often been replaced by adjacency matrix because few appropriate ways could be used to measure the node similarity in a complex network. As the solution, an appropriate measure of similarity should be proposed to build Laplacian matrix. Signal strategy has been proved to be an efficient method reflecting the relationships between nodes in complex network, and the relationship could be considered as a reasonable scale. This paper presents a semi-supervised spectral approach for community detection, the proposed method uses signal strategy to generate the Laplacian matrix, and utilizes prior knowledge to further guarantee the detection performance. Experiments results showed that the proposed method gave excellent performance on real world network and Lancichinetti-Fortunato-Radicchi (LFR) benchmark, with comparison of other spectral and non-spectral community detection methods.","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128547119","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

Power estimation in Array Signal Processing: Case study 阵列信号处理中的功率估计:案例研究

International Journal of Hybrid Information Technology Pub Date : 2017-11-30 DOI: 10.14257/ijhit.2017.10.11.03

Youssef Khmou

{"title":"Power estimation in Array Signal Processing: Case study","authors":"Youssef Khmou","doi":"10.14257/ijhit.2017.10.11.03","DOIUrl":"https://doi.org/10.14257/ijhit.2017.10.11.03","url":null,"abstract":"Characterizing radiating source by an array of sensors is an important process in many scientific and civil applications such optical interferometry, telecommunications, seismology and submarine acoustics. When the collected echoes by the array are a mixture of several sources, processing data needs to take into account the interactions between the individual components such as spatial coherence or correlation between primary sources, interferences from secondary sources as perturbing noise and power level of each wavefront. In the case of single emitter, the problem of source characterization becomes easy, because a simple treatment of second order statistics of received data is sufficient to identify the parameters of the source such as the angle of incidence, the shape of the waveform and its variance or power. In this paper, we propose an alternative approach of power estimation of single source using an array of isotropic sensors, the conditions used are those of the far field radiation making the approximation of planar wave front valid and the narrowband spectrum where the bandwidth of waveform is negligible against the carrier frequency. We propose the combination of the standard beam forming spectrum and the information that diagonal elements of spatial covariance matrix contains, the solution of Signal to Noise Ratio estimation is based on two dimensional linear system. Some numerical simulations are carried out to compare the performance of the proposed solution with the method based on eigenvalues computation.","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128803355","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

Conventional Program to Component-Based Software: A Critical Survey on Software Reuse 传统程序到基于组件的软件:软件重用的关键研究

International Journal of Hybrid Information Technology Pub Date : 2017-11-30 DOI: 10.14257/IJHIT.2017.10.11.04

U. Tiwari, Priya Matta

引用次数: 0

Medical Image Registration Using a New Information Discrepancy Measure 一种新的信息差异度量的医学图像配准

International Journal of Hybrid Information Technology Pub Date : 2017-11-30 DOI: 10.14257/ijhit.2017.10.11.01

Shaoyan Sun, Fengnan Sun

{"title":"Medical Image Registration Using a New Information Discrepancy Measure","authors":"Shaoyan Sun, Fengnan Sun","doi":"10.14257/ijhit.2017.10.11.01","DOIUrl":"https://doi.org/10.14257/ijhit.2017.10.11.01","url":null,"abstract":"Function of Degree of Disagreement (FDOD), a new measure of information discrepancy, was proposed originally to quantify the discrepancy of multiple sequences. On the one hand, this function has been successfully used in many other fields recently. On the other hand, the Kullback-Leibler divergence (KLD)measure has made great success in multimodality image registration. Comparing these two measures, we find that the FDOD has some peculiar mathematical properties superior to the KLD measure. Motivated by these facts, in this contribution, we introduce the FDOD function to solve the (3-D) multimodality medical image registration problem. Furthermore, we propose a normalized version of the FDOD function which will be more suitable to image registration. Finally, we carried out many experiments to validate our methods. Our results illustrate that the proposed registration methods based on the FDOD function and the normalized FDOD function are feasible and competitive, and compared with the methods based on mutual information and normalized mutual information, the proposed normalized FDOD function performs best in most cases, obtaining subvoxel registration accuracy with higher speed and higher success rate.","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131419406","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

Region Duplication Detection Based On Statistical Features of Image 基于图像统计特征的区域重复检测

International Journal of Hybrid Information Technology Pub Date : 2017-10-31 DOI: 10.14257/ijhit.2017.10.10.03

Saba Mushtaq, A. H. Mir

{"title":"Region Duplication Detection Based On Statistical Features of Image","authors":"Saba Mushtaq, A. H. Mir","doi":"10.14257/ijhit.2017.10.10.03","DOIUrl":"https://doi.org/10.14257/ijhit.2017.10.10.03","url":null,"abstract":"Abrupt boom in digital world has led to an instant increase in the popularity of digital images. Easy availability of image tampering tools like Picasa, Adobe Photoshop and Gimp etc. have made image tampering widespread. As such detecting tampering in images has become an active area of research. Region duplication is most common image tampering technique because of the ease with which it can be carried out. Available techniques for region duplication detection fail to accurately locate the tampered region and lack robustness. This paper proposes duplicate region detection method based on statistical texture features using gray level co-occurrence matrix (GLCM) and gray level run length matrix (GLRLM) features. The method divides the forged image into overlapping blocks, calculate texture features based on GLCM and GLRLM of each block. Feature vectors thus obtained for each block are lexicographically sorted. Blocks with similar features are identified using feature distances. Post processing isolates the duplicate regions. Experimental results establish that the proposed method using GLRLM features can precisely locate duplicate regions in image and can effectively withstand the common post processing operation like jpeg compression, blurring, brightness and contrast change with reduced computation complexity.","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116322442","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

Determining the Best-Fit Model for Oil Palm Yield and Planted Area in Malaysia 确定马来西亚油棕产量和种植面积的最适合模型

International Journal of Hybrid Information Technology Pub Date : 2017-10-31 DOI: 10.14257/IJHIT.2017.10.10.02

A. Norzaida, Aliman Kamariah, Halim Shafrina

{"title":"Determining the Best-Fit Model for Oil Palm Yield and Planted Area in Malaysia","authors":"A. Norzaida, Aliman Kamariah, Halim Shafrina","doi":"10.14257/IJHIT.2017.10.10.02","DOIUrl":"https://doi.org/10.14257/IJHIT.2017.10.10.02","url":null,"abstract":"Accurate information on agricultural production pattern is critical for foresighted and informed planning. Mathematical models have been successfully used to analyse and forecast a variety of agricultural data. In this study, time series models are employed for analysing and predicting the production and total planted area of oil palm, a significant agricultural crop export of Malaysia. Forecasting models, namely Linear Trend Model, Double Exponential Smoothing and Auto Regressive Integrated Moving Average (ARIMA) models are individually fitted to the 1974-2016 data to determine suitable models for forecasting purposes. Performances of the models are evaluated and compared using mean absolute percentage error (MAPE) and mean absolute deviation (MAD). The overall results demonstrated that ARIMA models are the best goodness-of-fit for both production and total planted area, indicating that there exists significant autocorrelation. In particular, ARIMA (2,2,3) is the best model to represent total planted area. Forecasted values of ten years show total planted land area will be gradually increasing, with an estimated increase of 0.14% to 1.98% per annum. Meanwhile, ARIMA (0,1,1) has the lowest MAPE and MAD value, suggesting that the model is most appropriate to represent oil palm production. The forecasted values show a consistent increase of about 0.12% per annum for the next ten years. The predicted results in this study could be used by relevant parties such as policy makers to foresee ahead of time the future requirement of import/export of palm production in Malaysia and enable them to do better strategic planning. This would indirectly contribute towards strengthening the position of oil palm industry in Malaysia and the world.","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126407595","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

Ontology-based User Modeling for Chinese Crop Germplasm Resources Information System 基于本体的中国作物种质资源信息系统用户建模

International Journal of Hybrid Information Technology Pub Date : 2017-10-31 DOI: 10.14257/IJHIT.2017.10.10.01

Li-Na Chen, H. Si, Wei Fang, Yongsheng Cao

{"title":"Ontology-based User Modeling for Chinese Crop Germplasm Resources Information System","authors":"Li-Na Chen, H. Si, Wei Fang, Yongsheng Cao","doi":"10.14257/IJHIT.2017.10.10.01","DOIUrl":"https://doi.org/10.14257/IJHIT.2017.10.10.01","url":null,"abstract":"Personalized service has achieved great success in the field of e-commerce, it is also used to agriculture information service for improving service efficiency, and a key feature in developing successful personalized service is to construct user model that represents accurately a user’s interests. This paper presents an ontology-based dynamic user modeling approach to construct user model for Chinese Crop Germplasm Resources Information System (CGRIS). The proposed user model relies on individual register information, domain ontology and web logs. The process of user modeling is mainly divided into three steps, the paper first constructs crop germplasm resources domain ontology based on these data of CGRIS and relational database, then constructs user ontology by user registration information, and maps the domain ontology and user ontology, so the initial user model is built, finally extends and updates the initial user model using WordNet and web logs to form the final user model. This paper mainly deals with the problem of constructing user ontology and how user model is updated dynamically by web logs with time going, and the user model is a user-centered design, it reflects the individual needs of the users. Due to the powerful knowledge representation formalism and associated inference mechanisms of ontology, the ontology-based user model provides an effective mechanism to provide targeted service for the users of CGRIS.","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130775611","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

International Journal of Hybrid Information Technology Pub Date : 2017-09-30 DOI: 10.14257/IJHIT.2017.10.9.03

Shaowei Li, Chengying Chi

引用次数: 0