2015 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP)最新文献_第2页

Adaptive processing of Earth Observation data on Cloud infrastructures based on workflow description 基于工作流描述的云基础设施对地观测数据自适应处理

2015 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2015-11-02 DOI: 10.1109/ICCP.2015.7312701

V. Bâcu, T. Stefanut, D. Gorgan

引用次数: 4

Multi-level on-board data fusion for 2D safety enhanced by 3D perception for AGVs 多层次车载数据融合，通过 AGV 的 3D 感知增强 2D 安全性

2015 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2015-11-02 DOI: 10.1109/ICCP.2015.7312636

C. Stimming, Annette Krengel, Markus Boehning, A. Vatavu, Szilard Mandici, S. Nedevschi

{"title":"Multi-level on-board data fusion for 2D safety enhanced by 3D perception for AGVs","authors":"C. Stimming, Annette Krengel, Markus Boehning, A. Vatavu, Szilard Mandici, S. Nedevschi","doi":"10.1109/ICCP.2015.7312636","DOIUrl":"https://doi.org/10.1109/ICCP.2015.7312636","url":null,"abstract":"Modern AGVs are equipped with several safety laser scanners with a combined 360 deg field of view around the AGV to detect and subsequently avoid collisions with other AGVs, structural elements and, most importantly, workers. This contactless environment perception approach fulfils current safety legislation and safety regulations for driverless industrial trucks. However, obstacle detection is limited to a 2D plane parallel and close to the ground, unable to detect protruding or hanging objects in the path of the AGV. In order to avoid collisions with these kinds of objects as well, the idea of PAN-Robots is to enhance the existing 2D safety by a 3D perception system based on an omnidirectional stereo camera. This paper describes the multi-level on-board sensor data fusion strategies implemented in the PAN-Robots project. The fused information of tracked and classified objects is not only used for on-board risk assessment and emergency collision avoidance, but is also communicated to the global control center for advanced fleet coordination and intelligent AGV navigation.","PeriodicalId":158453,"journal":{"name":"2015 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129522074","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

Pre-processing flow for enhancing learning from medical data 增强医学数据学习的预处理流程

2015 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2015-11-02 DOI: 10.1109/ICCP.2015.7312601

Sebastian Muresan, Ioana Faloba, C. Lemnaru, R. Potolea

引用次数: 2

Modeling of Earth Observation use cases through KEOPS system 基于KEOPS系统的对地观测用例建模

2015 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2015-11-02 DOI: 10.1109/ICCP.2015.7312702

D. Mihon, V. Bâcu, V. Colceriu, D. Gorgan

{"title":"Modeling of Earth Observation use cases through KEOPS system","authors":"D. Mihon, V. Bâcu, V. Colceriu, D. Gorgan","doi":"10.1109/ICCP.2015.7312702","DOIUrl":"https://doi.org/10.1109/ICCP.2015.7312702","url":null,"abstract":"The description of natural phenomena from different Earth Observation (EO) activity domains is represented by complex processes that involve a solid understanding of the phenomena, the syntactic and semantic description of the proposed solutions, the experimental data collection, and the analysis and interpretation of the results. Such a use case scenario is modeled as a collection of operators that are able to generate in a finite amount of time a valid output, based on a range of input data sets. The current paper aims at identifying the main EO data processing types and providing a set of basic operators that represent the core of the KEOPS (Kernel Operators) system. At the moment, several researches are conducted to find the best solution of integrating this system within the BigEarth platform, but the main idea is to use KEOPS as a plugin that can fit within any EO related platform that aims at processing spatial data. One main advantage of using the KEOPS system is the possibility of easily extending its core dataset with new operators that fulfill the needs of developing complex use case scenarios.","PeriodicalId":158453,"journal":{"name":"2015 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128471598","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

Routing enhancements based on evolutionary algorithm 基于进化算法的路由增强

2015 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2015-11-02 DOI: 10.1109/ICCP.2015.7312708

Iulia-Maria Florea, L. Gheorghe, M. Cărăbaş, N. Tapus

引用次数: 0

Building annotation rules for text description of endoscopies in romanian - an NLP-free approach 为罗马尼亚语内窥镜检查的文本描述建立注释规则-一种无nlp的方法

2015 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2015-11-02 DOI: 10.1109/ICCP.2015.7312600

R. R. Slavescu, Alexandra Bali, Kinga Cristina Slavescu

引用次数: 1

Improving local stereo algorithms using binary shifted windows, fusion and smoothness constraint 利用二值移窗、融合和平滑约束改进局部立体算法

2015 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2015-11-02 DOI: 10.1109/ICCP.2015.7312626

Mircea Paul Muresan, M. Negru, S. Nedevschi

{"title":"Improving local stereo algorithms using binary shifted windows, fusion and smoothness constraint","authors":"Mircea Paul Muresan, M. Negru, S. Nedevschi","doi":"10.1109/ICCP.2015.7312626","DOIUrl":"https://doi.org/10.1109/ICCP.2015.7312626","url":null,"abstract":"Stereo cameras are a viable solution for reconstructing 3D scenes and are well suited for advanced driver assistance systems, autonomous driving and robotics applications. Modern stereo reconstruction algorithms offer good results, but require very much memory and their real time capabilities are limited on modern day processors. On the other hand, local window aggregation algorithms have a small memory footprint, they are very fast and can be ported to embedded devices, although they provide a lower number of 3D reconstructed points and are more error prone in the case of occluded and slanted surfaces. In this paper we propose a novel, local block matching method which has increased quality and is suitable for real time processing with hardware acceleration (satisfying running time). Our first contribution consists in the introduction of two new binary descriptors used for block matching. The second contribution lies in the shifting method implemented for the matching windows, in order to capture surfaces which are slanted, together with the fusion of the results obtained for fronto-parallel surfaces. Here we propose and compare two fusion methods: a naive and a gradient based approach. The final contribution consists in a smoothness constraint applied to neighboring pixels. The results have been tested on images from the Middlebury benchmark and also on real traffic scene.","PeriodicalId":158453,"journal":{"name":"2015 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128976127","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: 7

Circulating tumor cells classification and characterization in dark field microscopic images of unstained blood 循环肿瘤细胞的分类和特征在未染色的血液暗场显微镜图像

2015 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2015-11-02 DOI: 10.1109/ICCP.2015.7312686

A. Ciurte, T. Mariţa, R. Buiga

{"title":"Circulating tumor cells classification and characterization in dark field microscopic images of unstained blood","authors":"A. Ciurte, T. Mariţa, R. Buiga","doi":"10.1109/ICCP.2015.7312686","DOIUrl":"https://doi.org/10.1109/ICCP.2015.7312686","url":null,"abstract":"To date, circulating tumor cells (CTCs) are the most promising tumor marker. They correlate with overall survival rate and disease free survival, allowing an early detection of metastatic process, monitoring the disease progression and the treatment response. Different from most state of the art methods that detect CTC's in stained blood, the aim of this paper is to identify CTCs in unstained blood in order to accomplish the conditions for long term monitoring. Thus, our approach is to find the best features that characterize CTCs and discriminate them from other blood cells in dark field microscopic images. Several classic texture features, such as histogram statistics, gray level co-occurrence matrix and gray tone difference matrix, were proposed as cell descriptors. In addition, we introduce new features that quantify the radial homogeneity of the cells. The study was performed for three types of cells: red cells, white cells and CTCs. The images in our study were acquired with a microscope in dark field (DF) mode at 10X and 20X optical magnification. Several classifier were designed based on the computed features. The performance of each type of feature was tested, and ranked. Final classification results are given by a simplified set of features that improve the quality of the classifiers. The accuracy of our results is over 98% for the cell classification in both optical magnifications.","PeriodicalId":158453,"journal":{"name":"2015 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"19 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123642823","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: 3

A comparison of Extreme Learning Machine and Support Vector Machine classifiers 极限学习机与支持向量机分类器的比较

2015 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2015-11-02 DOI: 10.1109/ICCP.2015.7312705

M. Bucurica, R. Dogaru, I. Dogaru

引用次数: 21

A learning-based approach for Romanian syllabification and stress assignment 基于学习的罗马尼亚语音节和重音分配方法

2015 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2015-11-02 DOI: 10.1109/ICCP.2015.7312603

Diana Balc, Anamaria Beleiu, R. Potolea, C. Lemnaru

引用次数: 4