{"title":"Load-modifiable content-based Publish/Subscribe Architecture over structured peer-to-peer networks","authors":"Shangzhou Li, L. V. Pin, Haibo Wang, Junping Song","doi":"10.1109/ICCSE.2014.6926538","DOIUrl":"https://doi.org/10.1109/ICCSE.2014.6926538","url":null,"abstract":"Three key performance indexes of distributed publish/subscribe systems are latency, load balance and flow cost. In this paper, we propose Adaptable Publish/Subscribe Architecture (APSA) for content-based publish/subscribe system, and it is built on structured P2P networks. In APSA, We use subscriptions covering, merging and binding, and two-layer delivering tree strategies to balance the load and reduce latency, so as to get a good performance. The experimental results show that APSA can provide modifiable load balance with relative low latency and low network flow cost which fit for publish/subscribe systems.","PeriodicalId":275003,"journal":{"name":"2014 9th International Conference on Computer Science & Education","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121025003","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}
E. Poitras, Amanda Jarrell, Tenzin Doleck, Susanne P. Lajoie
{"title":"Supporting diagnostic reasoning by modeling help-seeking","authors":"E. Poitras, Amanda Jarrell, Tenzin Doleck, Susanne P. Lajoie","doi":"10.1109/ICCSE.2014.6926422","DOIUrl":"https://doi.org/10.1109/ICCSE.2014.6926422","url":null,"abstract":"Help-seeking is considered an important metacognitive strategy. For learners to benefit from help-seeking, they need to be engaged in effective search behaviors. Maladaptive search behaviors can lead to negative learning outcomes; thus, if learners are cognizant of such behaviors, they can engage in effective help-seeking leading to achieve better learner outcomes. To foster effective help-seeking, we need to better understand the behaviors learners engage in when seeking help. In this study, we examined help-seeking behaviors of learners, in relation to what learners examined in an online library embedded within BioWorld. The library tool is a resource provides information about diseases, diagnostic tests and medical terms. This paper reports the model search behaviors pertaining to the medical topics searched in the library. The findings have implications for developing scaffolding prompts that can encourage effective search behaviors.","PeriodicalId":275003,"journal":{"name":"2014 9th International Conference on Computer Science & Education","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131094703","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}
{"title":"Teaching system design of mobile learning under the guidance of blending theory","authors":"Yuan Jiugen, Xing Ruonan, Zhang Wenting","doi":"10.1109/ICCSE.2014.6926571","DOIUrl":"https://doi.org/10.1109/ICCSE.2014.6926571","url":null,"abstract":"As a new learning method, mobile learning has completely broken through the limit of time and space and brought us digital learning experience anytime and anywhere. Blending learning theory is to use different means and information transfer mode for learning, and give play to all sorts of learning style effectively. This design idea of the article is to embed the mobile learning teaching system into the existing network course platform; it can be the stretching of the network course teaching and supplement of traditional classroom teaching. Through the combination of traditional classroom teaching, web-based teaching platform and mobile learning, we can play biggest efficiency of all sorts of learning style, so as to further improve the learners' learning efficiency and learning initiative.","PeriodicalId":275003,"journal":{"name":"2014 9th International Conference on Computer Science & Education","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131307426","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}
{"title":"Implementation of a laboratory video monitoring system","authors":"Ye Jihua, Nie Xiaoshi","doi":"10.1109/ICCSE.2014.6926619","DOIUrl":"https://doi.org/10.1109/ICCSE.2014.6926619","url":null,"abstract":"With the emergence of various long-running experiments, Laboratory sometimes is in a state of unattended. In order to grasp the lab environmental condition in time, a laboratory video surveillance system based on S3C2410 processor is developed and implemented in this paper. The composition of the video surveillance equipment hardware is the USB camera, streaming media server and WEB servers. USB camera is used as a data collection terminal. The transmission of collection data is through the network to the background, the user at the remote can monitor USB camera to capture the real-time video. Therefore, this can realize the effective monitoring for the lab.","PeriodicalId":275003,"journal":{"name":"2014 9th International Conference on Computer Science & Education","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129901838","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}
{"title":"MKL-SVM-based human detection for autonomous navigation of a robot","authors":"Yunfei Zhang, Rajen B. Bhatt, C. D. de Silva","doi":"10.1109/ICCSE.2014.6926425","DOIUrl":"https://doi.org/10.1109/ICCSE.2014.6926425","url":null,"abstract":"This paper presents a classifier trained by a multiple kernel-learning support vector machine (MKL-SVM) to detect a human in sequential images from a video stream. The developed method consists of two aspects: multiple features consisting of HOG features and HOF features suitable for moving objects, and combined nonlinear kernels for SVM. For the purpose of real time application in autonomous navigation, the SimpleMKL algorithm is implemented into the proposed MKL-SVM classifier. It is able to converge rapidly with comparable efficiency through a weighted 2-norm regularization formulation with an additional constraint on the weights. The classifier is compared with the state-of-the-art linear SVM using a dataset called TUD-Brussels, which is available on line. The results show that the proposed classifier outperforms the Linear SVM with respect to accuracy.","PeriodicalId":275003,"journal":{"name":"2014 9th International Conference on Computer Science & Education","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128161520","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}
{"title":"Classification of diabetes disease using TCM electronic nose signals and ensemble learning","authors":"Qiang Li, Li-sang Liu, Fan Yang, Zhezhou Zheng, Xuejuan Lin, Qingqing Wu","doi":"10.1109/ICCSE.2014.6926513","DOIUrl":"https://doi.org/10.1109/ICCSE.2014.6926513","url":null,"abstract":"Diabetes is one of the most prevalent diseases in medical field. We propose an ensemble method for diagnosis of diabetes on traditional Chinese medicine electronic nose signals. To evaluate the effectiveness of our method, we carry out the experiments by comparing single classifier with ensemble classifiers based on support vector machine and logistic classification model. The proposed method shows better classification performance with accuracy of 88.04%. The results of this study show that ensemble method is effective to detect diabetes.","PeriodicalId":275003,"journal":{"name":"2014 9th International Conference on Computer Science & Education","volume":"36 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129351410","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}
{"title":"Outlier detection using neighborhood radius based on fractal dimension","authors":"Lei Hu, Zhongnan Zhang, Huailin Dong, Kunhui Lin","doi":"10.1109/ICCSE.2014.6926468","DOIUrl":"https://doi.org/10.1109/ICCSE.2014.6926468","url":null,"abstract":"Partition outlier using neighborhood radius has proven to be an effective distance-based detection algorithm. However, it is not yet clear how to choose the neighborhood radius dmin, and getting the value by trial and error is still been widely adopted. This paper presents a method to get the neighborhood radius from fractal dimensions which is used to describe the self-similarity of a dataset. We first discuss how to calculate the fractal dimensions and how to value dmin, and then we use this value in distance-based outlier detection algorithms. Finally, we verify the validity of this neighborhood radius calculation method by experimental results.","PeriodicalId":275003,"journal":{"name":"2014 9th International Conference on Computer Science & Education","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132959704","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}
Xiao Zhou, Fanfan Yang, Chunxiao Zhang, Chengyou Wang
{"title":"Improved adaptive demosaicking using directional weighting","authors":"Xiao Zhou, Fanfan Yang, Chunxiao Zhang, Chengyou Wang","doi":"10.1109/ICCSE.2014.6926536","DOIUrl":"https://doi.org/10.1109/ICCSE.2014.6926536","url":null,"abstract":"Color filter array (CFA) interpolation is the integral part of image processing for single sensor digital cameras. In this paper, we present a novel algorithm based on directional weighting and adaptive edge detection. We evaluate the edges by using improved edge detection method and estimate the missing color values in different directions. By calculating differences of directional gradients, the threshold will be determined when we calculate the pixel values according to weighting coefficients. Experimental results show that the proposed method yields visually pleasant results and outperforms existing demosaicking methods in composite peak signal-to-noise ratio (CPSNR). In addition, the computational complexity of the proposed method is comparable to the existing methods.","PeriodicalId":275003,"journal":{"name":"2014 9th International Conference on Computer Science & Education","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131558214","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}
{"title":"An improved PSO-based method in hybrid WSNs using nodes density","authors":"Qi Zhang, Weiqing Qu","doi":"10.1109/ICCSE.2014.6926606","DOIUrl":"https://doi.org/10.1109/ICCSE.2014.6926606","url":null,"abstract":"Constructing a hybrid sensor network with a mixture of mobile sensors and static sensors can achieve a balance between sensor coverage and sensor cost. In this paper, we propose an improved PSO-based method to guide the movement of mobile sensors in hybrid networks. In this paper, static and mobile sensors detect coverage holes locally and use the density and distance as parameter to drive the mobile sensors to move. Simulation results show that the method achieve suitable trade-off between coverage and sensor cost.","PeriodicalId":275003,"journal":{"name":"2014 9th International Conference on Computer Science & Education","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131948614","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}
P. Angelopoulos, M. Paraskevas, I. Perikos, T. Zarouchas
{"title":"A highly motivated blended learning model oriented to computer engineering educators","authors":"P. Angelopoulos, M. Paraskevas, I. Perikos, T. Zarouchas","doi":"10.1109/ICCSE.2014.6926503","DOIUrl":"https://doi.org/10.1109/ICCSE.2014.6926503","url":null,"abstract":"This work presents a versatile blended learning model oriented to computer engineering educators in order to advance their technical skills. For the realization of this model a Hybrid Educational Platform (HEP) was developed exploiting the robustness and functionality of the Greek School Network (GSN). Findings from the evaluation of the related training activities indicate a well-promising learning framework that compensates the growing needs on information and communication technologies, thus establishing a modern and attractive education environment in the Greek Society.","PeriodicalId":275003,"journal":{"name":"2014 9th International Conference on Computer Science & Education","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133902682","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}