2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)最新文献_第9页

A Multi-Objective Optimization Model for the Planning of Power Distribution Networks Considering System Reliability 考虑系统可靠性的配电网规划多目标优化模型

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE43985.2019.9052393

Haytham M. A. Ahmed, M. Salama

引用次数: 0

Encrypted Traffic Classification Based ML for Identifying Different Social Media Applications 基于加密流量分类的ML识别不同的社交媒体应用

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861934

Furat Al-Obaidy, Shadi Momtahen, Md. Foysal Hossain, F. Mohammadi

引用次数: 20

Towards Integrated Image Contrast Models in Segmentation of Trees 树木分割中综合图像对比度模型的研究

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861826

G. S. Vieira, Fabrízzio Soares, S. A. Santos, G. Laureano, J. C. Lima, R. M. Costa, J. P. Félix, T. H. Nascimento

{"title":"Towards Integrated Image Contrast Models in Segmentation of Trees","authors":"G. S. Vieira, Fabrízzio Soares, S. A. Santos, G. Laureano, J. C. Lima, R. M. Costa, J. P. Félix, T. H. Nascimento","doi":"10.1109/CCECE.2019.8861826","DOIUrl":"https://doi.org/10.1109/CCECE.2019.8861826","url":null,"abstract":"Computer vision is an area in high demand which is bringing new trends for urban and rural applications. Some examples can be found in autonomous navigation projects, monitoring services, fruits/grain harvesting, pest control, and so forth. However, drastic or even unperceptive changes in the image acquisition process limit the development of these applications, especially for problems that require solutions for uncontrolled environments such as outdoor areas. Thus, the definition of what a machine is looking at is a challenging task. In this study, we dealt with the image segmentation problem in order to develop a method to delineate tree trunks, their branches, and foliage. As tree detection is a crucial topic in mobile robotics, we investigated it to give an initial interpretation of external scenes. We prepared an image dataset to validate the proposal in which two classes were defined, tree and non-tree. The pixels of each image were classified based on the proposed method, and the results show that our method obtained a positive result of 91% accuracy.","PeriodicalId":352860,"journal":{"name":"2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133779971","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

A Review of Intraoperative Surgeries Error Evaluation Methodologies 术中手术错误评价方法综述

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861924

M. Mobini, Parisa Naraei

{"title":"A Review of Intraoperative Surgeries Error Evaluation Methodologies","authors":"M. Mobini, Parisa Naraei","doi":"10.1109/CCECE.2019.8861924","DOIUrl":"https://doi.org/10.1109/CCECE.2019.8861924","url":null,"abstract":"Verifying surgical errors, events, and outcomes while analyzing them is essential to reduce medical errors and decrease the risk in the surgical workflow. This valuable information can be used in the educational fields to provide constructive feedback for surgeons and other staff in the operating room (OR) environment. Specific error tracing techniques and recording tools are required to extract this information. To be able to design a sufficient tool, the first step is defining errors and understanding their descriptions. Thus, this study reviewed several articles related to errors definition and standard error categories. The next step is rating errors for future analyzing. For the error rating tool, the Objective Structured Assessment of Technical Skill (OSATS) rating scale was reviewed. Finally, in order to detect errors in the OR, tools with the ability to record intraoperative surgical information in the video and audio formats were reviewed. The review suggests that monitoring tools should be used during surgeries and extracted information should be used to obtain improved surgical methods in the surgery and in educating future surgeons to achieve a higher level in the rescue mechanism.","PeriodicalId":352860,"journal":{"name":"2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132787480","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

A Ultra Wide Triple-band Antenna for Biomedical Application 一种用于生物医学的超宽三波段天线

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861802

Sharafat Hossain, N. N. Jui, M. Hossain

引用次数: 1

Automated Classification of Retinal Diseases in STARE Database Using Neural Network Approach 基于神经网络的STARE数据库视网膜疾病自动分类

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861588

Naireen Zaheer, Adeeb Shehzaad, S. O. Gilani, J. Aslam, Syed Ali Jafar Zaidi

{"title":"Automated Classification of Retinal Diseases in STARE Database Using Neural Network Approach","authors":"Naireen Zaheer, Adeeb Shehzaad, S. O. Gilani, J. Aslam, Syed Ali Jafar Zaidi","doi":"10.1109/CCECE.2019.8861588","DOIUrl":"https://doi.org/10.1109/CCECE.2019.8861588","url":null,"abstract":"The optics of the eye create a visual image of the visual world on the retina. Incoming light signal is converted into a neural signal, which in turn is processed by the visual cortex in brain. A healthy retina is crucial for reliable vision. It is vulnerable to organ-specific and systemic diseases as numerous imperative ailments manifest themselves in the retina. Retinal dystrophies and degenerations are often the cause of visual loss and complete blindness in severe cases, hence early diagnosis and appropriate treatment can avert the loss. Various retinal diagnostic techniques performed manually by the ophthalmologist are conventional procedures followed in numerous parts of the world. Since human intervention is highly prone to errors, these strategies don’t generally ensure high level of accuracy. Consequently, computerized procedures are significantly crucial for useful applications in the ophthalmology. The purpose of this research was to develop an automated diagnostic system that will be able to identify patients with retinal disorders from images using neural network. This study comprises of four main sections. Data related to retinal pathologies was taken from a publicly available fundus image database. Collected data was then pre-processed by applying exclusion and inclusion criteria on categorized diseases and then visualized using MATLAB. Neural network technique along with three different activation functions (Sigmoid, Gaussian and ArcTan) were used to classify multiple retinal diseases allowing timely detection of such ailments with high accuracy. Sigmoid and Gaussian function gave best performances across all performance metrics. Accuracy calculated for Sigmoid was 0.92, for Gaussian 0.90 and for ArcTan 0.46","PeriodicalId":352860,"journal":{"name":"2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125955639","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

PCB Fabricated Passive RF Balun for 3 T MRI Applications 用于3t MRI应用的PCB制造无源射频平衡器

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861585

A. Dianat, A. Attaran, R. Muscedere, B. Chronik

引用次数: 3

An Overview of Wind-Solar System Output Power 风能-太阳能系统输出功率综述

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE43985.2019.9052396

Fawaz. M. Alhaddad, H. Aly, M. El-Hawary

引用次数: 2

A Two-Stage Coupled-Inductor-Based Cascaded DC-DC Converter with a High Voltage Gain 基于两级耦合电感的高电压增益级联DC-DC变换器

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861768

Alireza E. Khosroshahi, Liwei Wang, Hoda Dadashzadeh, Hossein Ardi, Amir Farakhor, A. M. Shotorbani

引用次数: 13

Power-Management based on Reconfigurable Last-Cache level on Non-volatile Memories in Chip-Multi processors 芯片多处理器非易失性存储器中基于可重构最后缓存级别的电源管理

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861762

Furat Al-Obaidy, Arghavan Asad, F. Mohammadi

引用次数: 4