2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)最新文献_第5页

A cloud-based architecture for secure and reliable service provisioning in wireless sensor network 一种基于云的无线传感器网络安全可靠服务提供架构

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993460

Fatemeh Banaie, S. Seno

引用次数: 9

Your mouse can tell about your emotions 你的鼠标可以了解你的情绪

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993360

P. Lali, Maryam Naghizadeh, H. Nasrollahi, Hadi Moradi, M. Mirian

引用次数: 10

Precise spatial normalization through novel neonatal brain MRI and CT atlas templates 通过新的新生儿脑MRI和CT图谱模板精确的空间归一化

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993454

O. M. Dastjerdi, H. Moghaddam, F. Wallois, R. Grebe

{"title":"Precise spatial normalization through novel neonatal brain MRI and CT atlas templates","authors":"O. M. Dastjerdi, H. Moghaddam, F. Wallois, R. Grebe","doi":"10.1109/ICCKE.2014.6993454","DOIUrl":"https://doi.org/10.1109/ICCKE.2014.6993454","url":null,"abstract":"The assessment of brain development is indubitably of critical importance specifically in the first two years of life. In comparison with the developments of other organs, the process of brain maturation from birth to two years of life is very meteoric. As a result of the complications of the study of the newborn brain, scarce researches have been done in this field. Spatial normalization, which modifies individual brain shape to match a reference space, is a necessary step in group level statistical analysis. In this paper, at first, we suggest a new approach for enhancing the normalization of CT scans to a reference space. We then explain our steps towards creating MR and CT atlases. Afterwards, we utilize 13 and 9 high resolution neonatal MR and CT scans to construct atlases based on our suggested methods. These scans are captured from a group of new-borns with gestational ages between 39 and 40 weeks at the time of exam. We subsequently demonstrate the created multimodal atlas. Finally, we discuss the results of qualitative and quantitative assessment of our multimodal atlas, for example, through anatomical local deviations.","PeriodicalId":152540,"journal":{"name":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115804925","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

RLRAUC: Reinforcem ent learning based ranking algorithm using user clicks rlraauc:使用用户点击的基于强化学习的排名算法

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993462

V. Derhami, J. Paksima, H. Khajeh

{"title":"RLRAUC: Reinforcem ent learning based ranking algorithm using user clicks","authors":"V. Derhami, J. Paksima, H. Khajeh","doi":"10.1109/ICCKE.2014.6993462","DOIUrl":"https://doi.org/10.1109/ICCKE.2014.6993462","url":null,"abstract":"Because of great volume of web information, information retrieval process of a search engine is of great importance. For each query of user, the number of queries can reach hundred thousands, whereas a few number of the first results have the chance of being checked by user; therefore, a search engine pays attention to putting relevance results in the first ranks as a necessity. This paper introduces a reinforcement learning based ranking algorithm using user clicks, called RLRAUC, to put the relevance and favorite documents in the first ranks of query results. In the proposed algorithm, ranking system is the agent of learning system and selecting documents for displaying to user is considered as action. The reinforcement signal is calculated according to user click on documents. In this procedure, each pair of word-document in the user query is assigned a score according to the relevance of document. Documents in each repeating of learning would be sorted for next query based on changed scores and among these documents, according to document position in ranking list, random documents would be selected to be displayed to user. Learning process would be continued until it is converged to a stable ranking list. To evaluate proposed method, LETOR3 as well-known dataset has been used. Evaluation results indicate that RLRAUC is more effective than current ranking methods.","PeriodicalId":152540,"journal":{"name":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114872691","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

Application of game theory techniques for improving trust based recommender systems in social networks 博弈论技术在改进基于信任的社交网络推荐系统中的应用

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993436

Mohammad Mahdi Azadjalal, P. Moradi, Alireza Abdollahpouri

引用次数: 5

Combining trust in collaborative filtering to mitigate data sparsity and cold-start problems 在协同过滤中结合信任来缓解数据稀疏性和冷启动问题

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993351

Vahid Faridani, M. V. Jahan, Mehrdad Jalali

{"title":"Combining trust in collaborative filtering to mitigate data sparsity and cold-start problems","authors":"Vahid Faridani, M. V. Jahan, Mehrdad Jalali","doi":"10.1109/ICCKE.2014.6993351","DOIUrl":"https://doi.org/10.1109/ICCKE.2014.6993351","url":null,"abstract":"Collaborative filtering (CF) is the most popular approach to build recommender systems and has been successfully employed in many applications. However, it suffers from several inherent deficiencies such as data sparsity and cold start. To better show user preferences for the cold users additional information (e.g., trust) is often applied. We describe the stages based on which the ratings of an active user's trusted neighbors are incorporated to complement and represent the preferences of the active user. First, by discriminating between different users, we calculate the significance of each user to make recommendations. Then the trusted neighbors of the active user are identified and aggregated. Hence, a new rating profile can be formed to represent the preferences of the active user. In the next stage, similar users probed based on the new rating profile. Finally, recommendations are generated in the same way as the conventional CF with the difference that if a similar neighbor had not rated the target item, we will predict the value of the target item for this similar neighbor by using the ratings of her directly trusted neighbors and applying MoleTrust algorithm, so as to incorporate more similar users to generate prediction for this target item. Experimental results demonstrate that our method outperforms other counterparts both in terms of accuracy and coverage.","PeriodicalId":152540,"journal":{"name":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126397524","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: 6

Scheduling periodic real-time hardware tasks on dynamic partial reconfigurable devices subject to fault tolerance 基于容错的动态部分可重构设备的周期性实时硬件任务调度

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993336

Reza Ramezani, Yasser Sedaghat

引用次数: 6

Percolation approach to digital comparative holography via optical flow investigation 基于光流研究的数字比较全息的渗透方法

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.7763/IJIEE.2015.V5.535

M. Hossein Ahmadzadegan, T. Fabritius

{"title":"Percolation approach to digital comparative holography via optical flow investigation","authors":"M. Hossein Ahmadzadegan, T. Fabritius","doi":"10.7763/IJIEE.2015.V5.535","DOIUrl":"https://doi.org/10.7763/IJIEE.2015.V5.535","url":null,"abstract":"Digital comparative holography is an important method deployed for working on verifying the body or contortion of two corresponding entities with different micro architecture. The percolation theory is a useful mathematical theory that describes the behavior of connected clusters in a randomly generated graph which can be derived from a picture. Percolation theory is also regarded as a model for displaying a phase transition and it demonstrates the so called critical phenomenon. This in digital comparative holography context implies a drastic change in characteristics. In this paper a novel approach has been taken by utilizing a mathematical theory being the percolation theory to transfer the image achieved by comparative holography in three-dimensional site-percolated form. This operation empowers us to analyze the test object and the behavior of its cluster representation by the help of an image investigation technique being the optical flow investigation. Finally the universality principle will be used to explain and demonstrate the interaction of clusters and how distance and rotation can remarkably affect the optical flow directions.","PeriodicalId":152540,"journal":{"name":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122740166","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

Feature level combination for object recognition 用于对象识别的特征级组合

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993395

Mehrdad Ahmadi Soofivand, A. Amirkhani, M. Daliri, Gholamali Rezaeirad

{"title":"Feature level combination for object recognition","authors":"Mehrdad Ahmadi Soofivand, A. Amirkhani, M. Daliri, Gholamali Rezaeirad","doi":"10.1109/ICCKE.2014.6993395","DOIUrl":"https://doi.org/10.1109/ICCKE.2014.6993395","url":null,"abstract":"In recent years, the design of classification algorithms, with the aid of information combination methods, has received a considerable attention. In machine vision, in order to overcome the high inter-class variations between the classes of image, various feature descriptors have been designed to be robust to these inter-class variations. However, no single feature can be robust to these variations in all image classes. Therefore, the combination of different complementary features to distinguish each class from all other classes in the classification of the multi-class image, has received much attention. In this paper, the feature-level integration method has been used to classify the images. At first, features are processed and combined, and a new feature vector is built. The proposed pre-processing method, which has made it possible to combine features, significantly increases the object recognition performance. With this method, each type of feature can be combined. In this paper, this method has been employed in order to combine the SIFT, LBP, PHOG, and GIST descriptors. In addition, the SVM classifier with linear kernel has been used to classify images. The proposed combination method has been applied on the Caltech-101 dataset and as a result, the classification performance increased by about 2-3 percent. It should be stated that the proposed algorithm is very simple and the computational complexity is very low compared to other data integration methods.","PeriodicalId":152540,"journal":{"name":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123154722","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

Particle filter supported with the neural network for aircraft tracking based on kernel and active contour 基于核和活动轮廓的神经网络支持粒子滤波飞机跟踪

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993445

M. Izadkhah, M. Hosseini, H. Fayyazi

{"title":"Particle filter supported with the neural network for aircraft tracking based on kernel and active contour","authors":"M. Izadkhah, M. Hosseini, H. Fayyazi","doi":"10.1109/ICCKE.2014.6993445","DOIUrl":"https://doi.org/10.1109/ICCKE.2014.6993445","url":null,"abstract":"In this paper we present a new method for aircraft tracking in color video sequences based on contour and kernel. The aim of this work is to overcome the problem of losing target in changing light conditions, large displacement, speed changing, and occlusion. In fact, we want to achieve an exact contour of the target in each frame of the video. The proposed method is made in three steps, estimating the location of the target by the particle filter, segmentation of the region of the target using neural networks and finding the exact contours by greedy snake algorithm. In the proposed method we have used both regions and contour information to create target candidate model and this model is dynamically updated during tracking. To avoid the accumulation error during the update step and achieving higher segmentation accuracy, the target region is given to a perceptron neural network to separate the target from the background, after estimation of the target location. The output is used for exact calculation of the size and the center of the target. Moreover, it is used as the initial contour for the greedy snake algorithm to find the exact edge of the target. The proposed algorithm has been tested on two databases which contain challenges like highspeed and agility of aircrafts, background clutter, occlusions and camera movements. The experimental results show that our method increases the accuracy of tracking and segmentation.","PeriodicalId":152540,"journal":{"name":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125665112","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