2019 14th International Conference on Computer Engineering and Systems (ICCES)最新文献_第6页

Improve Performance of Indoor Positioning System using BLE 利用BLE提高室内定位系统的性能

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068142

Eslam Essa, Bassem A. Abdullah, A. Wahba

{"title":"Improve Performance of Indoor Positioning System using BLE","authors":"Eslam Essa, Bassem A. Abdullah, A. Wahba","doi":"10.1109/ICCES48960.2019.9068142","DOIUrl":"https://doi.org/10.1109/ICCES48960.2019.9068142","url":null,"abstract":"Indoor positioning has grasped great attention in recent years, a lot of research papers have been published in this field. However, there exists no technology that proves its efficacy in all different cases. This paper presents a complete study for indoor positioning with a proposed solution. the first stage of the study is a comparative analysis of several well-known technologies currently available for Indoor Positioning such as Wi- Fi, BLE or GPS. The second stage is based on the comparison's result of the first stage and decide to use Bluetooth Low Energy (BLE) in my solution. BLE is a very practical solution for indoor positioning systems (IPS) which offers acceptable accuracy and low-cost deployment. In this work, I use Received Signal Strength Indicator (RSSI) to estimate the distance between different devices. In the third stage, signal's RSSI are filtered to increase the accuracy of estimated distance using Kalman filter. Finally, trilateration method is used for estimation the position of devices based on the output of previous stages. Experimental results show that the proposed solution has promising results by achieving a positioning accuracy within 0.76 to 0.39m and average 0.53m.","PeriodicalId":136643,"journal":{"name":"2019 14th International Conference on Computer Engineering and Systems (ICCES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124658961","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: 12

Analog Control Algorithm-Based a Photovoltaic Energy Harvesting System for Low-Power Medical Applications 基于模拟控制算法的低功耗医疗光伏能量收集系统

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068173

S. Mohsen, A. Zekry, M. Abouelatta, Khaled Y. Youssef

引用次数: 3

An Enhanced Secure System for Vehicle RFID based identification Secure RFID Solution using Authentication and error correction 基于身份验证和纠错的安全RFID解决方案

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068165

Mohamed Ibrahim, M. Sobh, Ayman M. Bahaa-Eldin

引用次数: 0

Session CNS: Computer Networks & Security 会议CNS:计算机网络与安全

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/icces48960.2019.9068139

引用次数: 0

Session PC: Parallel and Cloud Computing 会话PC:并行和云计算

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/icces48960.2019.9068126

引用次数: 0

A Multi-Label Computer-aided Diagnoses System for Detecting and Diagnosing Diabetic Retinopathy 糖尿病视网膜病变的多标签计算机辅助诊断系统

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068188

Eman AbdelMaksoud, S. Barakat, Mohammed M Elmogy

{"title":"A Multi-Label Computer-aided Diagnoses System for Detecting and Diagnosing Diabetic Retinopathy","authors":"Eman AbdelMaksoud, S. Barakat, Mohammed M Elmogy","doi":"10.1109/ICCES48960.2019.9068188","DOIUrl":"https://doi.org/10.1109/ICCES48960.2019.9068188","url":null,"abstract":"Multi-label classification (MLC) is considered an active research topic, especially in medical image analysis. We used MLC to diagnose the multiple different grades of Diabetic Retinopathy (DR). DR is caused when a patient's blood pressure and blood sugar are too high and results in damage in the blood vessels (BVs). BVs supply the blood to the retina. If the retina does not get the blood it needs, it can eventually cause permanent blindness. The early diagnosis of different DR grades leads the ophthalmologists to efficient treatment. In this paper, we developed a multi-label computer-aided diagnosis (ML-CAD) system to apply MLC for different DR grades using color fundus images. Our system utilizes 11 texture features descriptors by retrieving the average of the Gray Level Run Length Matrix (GLRM) on four directions 0°, 45°, 90°, and 135°. It distinguishes the normal from DR cases by supplying the extracted features to the support vector machine (SVM) classifier. Then, the proposed CAD system segments some significant characteristics from DR fundus images, which are BV, exudates (EX), microaneurysms (MA), and hemorrhages (HM). After that, it calculates the Gray Level Co-occurrence Matrix (GLCM), regions of interest (ROIs) areas, and BV bifurcation point's calculations. Finally, the feature vector is trained and tested using a multi-label SVM (MSVM) classifier generates a suitable DR grade. We used four various benchmark datasets to evaluate the performance of our system in terms of accuracy (ACC), sensitivity (SEN), specificity (SPE), the area under the curve (AVC), and micro F1 measure. The experiments confirmed that our ML-CAD system outperforms the other diagnosing DR systems.","PeriodicalId":136643,"journal":{"name":"2019 14th International Conference on Computer Engineering and Systems (ICCES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129538768","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

Social Network Sites (SNS) Users Behavioral Typology in Egypt 社交网站(SNS)用户在埃及的行为类型

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068148

Heba Sayed, Georgios A. Dafoulas

引用次数: 0

FPGA Implementation of an ImageCompression and Reconstruction System for the Onboard Radar Using the Compressive Sensing 基于压缩感知的机载雷达图像压缩与重构系统的FPGA实现

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068155

Mohamed M. Ahmed, Hassan Bedour, S. M. Hassan

{"title":"FPGA Implementation of an ImageCompression and Reconstruction System for the Onboard Radar Using the Compressive Sensing","authors":"Mohamed M. Ahmed, Hassan Bedour, S. M. Hassan","doi":"10.1109/ICCES48960.2019.9068155","DOIUrl":"https://doi.org/10.1109/ICCES48960.2019.9068155","url":null,"abstract":"the onboard radar is emerging as one of the most practical methods that can be used for identification and many other applications. Nowadays, almost all unmanned applications use onboard radar as a main sensor that provides critical information. Airplanes, satellites and some unmanned vehicles use various kinds of radars sensors depending on the required mission. Imaging radar sensor is used to produce two-dimensional images. It produces its light to illuminate certain area and take a picture at radio wavelengths. This kind of radars produces high quality images with large size. Thus; the produced images must be compressed to reduce their size and decompressed when used. There are different algorithms for compression and decompression, but when onboard, there is a need for an algorithm that will not consume excessive power to save batteries and require less time to be reliable for use. This paper discloses a new methodology for the image compression based upon the compressive sensing techniques., its implementation using the FPGA and the required simulation.","PeriodicalId":136643,"journal":{"name":"2019 14th International Conference on Computer Engineering and Systems (ICCES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115026237","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

Deep-Learning Ensemble for Offline Arabic Handwritten Words Recognition 面向离线阿拉伯手写体单词识别的深度学习集成

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068184

Mohamed Awni, M. Khalil, Hazem M. Abbas

引用次数: 9

A new FISH Signals Fusion Detection approach for diagnosing Chronic Myeloid Leukemia 一种新的FISH信号融合检测方法诊断慢性髓细胞白血病

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068133

Ashraf AbdelRaouf

{"title":"A new FISH Signals Fusion Detection approach for diagnosing Chronic Myeloid Leukemia","authors":"Ashraf AbdelRaouf","doi":"10.1109/ICCES48960.2019.9068133","DOIUrl":"https://doi.org/10.1109/ICCES48960.2019.9068133","url":null,"abstract":"Cancer is consider one of the worst disease in the modern era which cause a huge number of deaths each year world wide. It is generated due to the abnormal growth of attacking enormous number of cells to the human body cells that white blood cells can't defend for the human body. Regionally, the number of death as a consequence of the cancer is increasing and affect the growing economies badly. Medical imaging is a technique that visualize the inside of the human body using computerized device. Usually, manipulating the problems of medical imaging using image processing techniques. Leukemia is cancer of the body's blood-forming tissues, including the bone marrow and the lymphatic system. Chronic Myeloid Leukemia (CML) is a type of blood cancer that causes the body to produce a large number of white blood cells. In this research, FISH (Florescent In Situ Hybridization) images is the key factor of detecting abnormalities in genes. FISH usually used for detecting abnormality in chromosomes and DNA features. CML also can be detected using FISH. CML diagnosis depends on the detection of fused Red and Green signals. Our approach first detects FISH signals, their colors, and then fusion between these colors. Moreover, number of fusions need to be counted in order to specify the proper treatment as the number of fusion is important in defining the severity of the case. We prepared our dataset for our own experiment and publish it online for research usage. Our approach experimental accuracy achieved 98% which prove the efficiency of the approach when compared to similar research.","PeriodicalId":136643,"journal":{"name":"2019 14th International Conference on Computer Engineering and Systems (ICCES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115703793","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