2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS)最新文献

Application of the Artificial Neural Network for blood pressure evaluation with smartphones 人工神经网络在智能手机血压评估中的应用

2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS) Pub Date : 2013-11-14 DOI: 10.1109/IDAACS.2013.6662717

引用次数: 35

Face detection algorithm using haar-like feature for GPU architecture 基于haar特征的人脸检测算法

2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS) Pub Date : 2013-11-14 DOI: 10.1109/IDAACS.2013.6663020

D. Pertsau, A. Uvarov

引用次数: 11

Recent developments in risk management in projects 项目风险管理的最新进展

2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS) Pub Date : 2013-11-14 DOI: 10.1109/IDAACS.2013.6662983

Wolfgang Tysiak

引用次数: 1

Prescription for Poland: Disruptive innovative e-Health ecosystem for regenerative medicine in Poland 波兰处方:波兰再生医学的颠覆性创新电子卫生生态系统

2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS) Pub Date : 2013-11-14 DOI: 10.1109/IDAACS.2013.6662985

{"title":"Prescription for Poland: Disruptive innovative e-Health ecosystem for regenerative medicine in Poland","authors":"","doi":"10.1109/IDAACS.2013.6662985","DOIUrl":"https://doi.org/10.1109/IDAACS.2013.6662985","url":null,"abstract":"Over the last several years, Poland has created a new generation of innovators in emerging industries, such as biomedicine and e-Health, in order to compete globally. The country is now ranked third in the world in production of quality ICT specialists and regenerative medicine initiatives. In order to promote Poland's innovations globally, next generation infrastructure improvements are required that must address state and international concerns in the health care industry. This is the goal of “Prescription for Poland” program initiated by Data Techno Park Ltd., Wroclaw company established for development e-Health infrastructure and technologies. e-Health technologies understood as new medical diagnostic tools and procedures and as advanced patient monitoring systems using sensors and data transmission can become Polish “smart specialization” in new European financing perspective 2014-2020. Identification of smart specialization nationally and regionally as well as focus of support on them will be an ex ante condition for all European countries if Cohesion Fund will be spend for innovation and development programmes.","PeriodicalId":260349,"journal":{"name":"2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130085834","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

Experimental stress assessment in biomedical measurement class 生物医学测量课实验应激评估

2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS) Pub Date : 2013-11-14 DOI: 10.1109/IDAACS.2013.6662648

O. Bruna, J. Holub, P. Paces

引用次数: 0

Application infrastructure management system for media façades 媒体平台应用基础设施管理系统

2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS) Pub Date : 2013-11-14 DOI: 10.1109/IDAACS.2013.6662678

Stephan Bergemann, J. Sieck

引用次数: 0

Adapting American ERP systems for China: Cross-cultural issues and a case study 美国ERP系统在中国的应用:跨文化问题与案例研究

2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS) Pub Date : 2013-11-14 DOI: 10.1109/IDAACS.2013.6662989

Y. Lin, L. Markowsky, Shuanxi Liu, G. Markowsky

引用次数: 2

SI-based scheduling of scientific experiments on Clouds 基于si的云上科学实验调度

2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS) Pub Date : 2013-11-14 DOI: 10.1109/IDAACS.2013.6663015

Elina Pacini, C. Mateos, C. Garino

{"title":"SI-based scheduling of scientific experiments on Clouds","authors":"Elina Pacini, C. Mateos, C. Garino","doi":"10.1109/IDAACS.2013.6663015","DOIUrl":"https://doi.org/10.1109/IDAACS.2013.6663015","url":null,"abstract":"Scientists and engineers usually require huge amounts of computing power for performing their experiments. Precisely, Parameter Sweep Experiments (PSE) allow these kind of users to perform simulations by running the same scientific code with different input data, which results in many CPU-intensive jobs and thus computing environments such as Clouds must be used. We describe two Cloud schedulers based on two popular swarm intelligence (SI) techniques, namely ant colony optimization (ACO) and particle swarm optimization (PSO), to allocate virtual machines (VM) to physical Cloud resources. The main performance metrics to study are the number of serviced users by the Cloud -i.e., the number of Cloud users that the scheduler is able to successfully serve- and the total number of created VMs, in dynamic (non-batch) scheduling scenarios. Simulated experiments performed by using CloudSim and real PSE job data suggest that our schedulers, through a weighted metric, perform competitively with respect to the number of serviced users and achieve an effective assignment of VMs compared to a scheduler based on Genetic Algorithms.","PeriodicalId":260349,"journal":{"name":"2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133183286","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

Fuzzy data processing method 模糊数据处理方法

2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS) Pub Date : 2013-11-14 DOI: 10.1109/IDAACS.2013.6662709

L. Dubchak, N. Vasylkiv, V. Kochan, Andrij Lyapandra

引用次数: 8

Addressing the training problem in cellular automata based hyperspectral image segmentation 基于元胞自动机的高光谱图像分割训练问题的研究

2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS) Pub Date : 2013-11-14 DOI: 10.1109/IDAACS.2013.6662712

Blanca Maria Priego Torres, Daniel Souto, F. Bellas, R. Duro

{"title":"Addressing the training problem in cellular automata based hyperspectral image segmentation","authors":"Blanca Maria Priego Torres, Daniel Souto, F. Bellas, R. Duro","doi":"10.1109/IDAACS.2013.6662712","DOIUrl":"https://doi.org/10.1109/IDAACS.2013.6662712","url":null,"abstract":"Two important issues are still open within the field of hyperspectral image segmentation. On one hand, most methods usually perform an early projection of the hyperspectral information onto a less informative two dimensional representation. On the other hand, there is usually very little and dubious ground truth available, making it very hard to train and tune appropriate segmentation and classification strategies. This paper describes an approach to address these problems by considering the application of evolved cellular automata (CA) over the hyperspectral cube in order to produce homogeneous regions that allow to easily perform the segmentation task. This homogenization process is carried out without resorting to any form of projection while the CA is operating, thus preserving this way the spectral character ofthe information in the segmentation process. We also show that the evolution process we propose for obtaining the rules can be carried out over RGB images and the resulting automata used to process multidimensional hyperspectral images successfully, thus avoiding the problem of lack of appropriately labeled ground truth images. The procedure has been tested over synthetic and real hyperspectral images and the results are very competitive.","PeriodicalId":260349,"journal":{"name":"2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS)","volume":"36 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132836236","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