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

Mobile-based Environment to Facilitate Rehabilitation of Adults Post-Injuries 促进成人受伤后康复的移动环境

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068131

Maha M. Khalil, A. Afifi, K. M. Amin

{"title":"Mobile-based Environment to Facilitate Rehabilitation of Adults Post-Injuries","authors":"Maha M. Khalil, A. Afifi, K. M. Amin","doi":"10.1109/ICCES48960.2019.9068131","DOIUrl":"https://doi.org/10.1109/ICCES48960.2019.9068131","url":null,"abstract":"Rehabilitation is a vital process for adult people after injury to regain their quality of life. This paper proposes a mobile-based system for upper limb rehabilitation to overcome a lack of motivation that occurs in the conventional one. Recent studies found that poor adherence to physiotherapy sessions refers to many reasons, one of them is the lack of motivation. Accordingly, conducting therapeutic sessions in the form of serious games will surely motivate patients more, hence helping them to improve their quality of life. In this work, therefore, we propose two serious mobile games to facilitate post-injures rehabilitation, which utilize smartphone's accelerometer sensor to control the game. Since the proposed system depends on User Centered Design (UCD) approach, two prototypes were tested. The First Prototype targets elbow and shoulder joints. To cover these mentioned joints' exercises, the game is developed into three levels: first-level targets elbow extension. The second one includes two sub-levels; first one targets wrist supination/pronation, second sub-level combines both wrist supination and elbow extension. In the third level, the patient must perform wrist supination/pronation, and elbow flexion/extension. Second prototype includes three different games which target wrist supination/pronation, forearm supination/pronation, shoulder flexion, shoulder horizontal adduction/abduction, and elbow flexion/extension. As a pilot evaluation many visits to a rehabilitation center were arranged, the therapist confirmed that the game covers those mentioned exercises and selected three convenient recruited cases to play the game and check its usability. They stated that the system covers some conventional exercises they perform; they provided feedback that helped in system enhancement prior to final evaluation. As a final evaluation the system was tested for twelve sessions by one case, with a progress rate of 1.7 ±0.38, and 3 ±0.9 cm for both anterior, and lateral scales respectively.","PeriodicalId":136643,"journal":{"name":"2019 14th International Conference on Computer Engineering and Systems (ICCES)","volume":"223 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127182796","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

Blank Page Background 空白页背景

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/icces.2014.7030973

引用次数: 0

Blockchain and its Alternative Distributed Ledgers - A Survey 区块链及其替代分布式账本——一项调查

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068183

A. Khalifa, Ayman M. Bahaa-Eldin, Mohamed Sobh

引用次数: 1

Automatic Enhancement of Two-Dimensional Gel electrophoresis images using Denoising Autoencoder 基于去噪自编码器的二维凝胶电泳图像自动增强

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068175

A. Ahmed, Wessam H. El-Behaidy, A. Youssif

引用次数: 1

Power Efficient Routing Protocol (AODV) for IoT Based Livestock Applications 基于物联网牲畜应用的高效路由协议(AODV)

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068149

Shahenda S. Abou Emira, Khaled Y. Youssef, M. Abouelatta

引用次数: 2

A Computationally Efficient Pairing-Free Group Key Distribution Scheme for Vehicular Ad-Hoc Network 一种计算高效的车载Ad-Hoc网络无配对组密钥分配方案

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068116

Eman Abouelkheir, S. El-sherbiny

引用次数: 0

Image Recovery from Incomplete Walsh Measurements Based on Orthogonal Matching Pursuit 基于正交匹配追踪的不完全Walsh测量图像恢复

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068114

Rasha Shoitan, Z. Nossair, I. Ibrahim, S. M. Elshoura

{"title":"Image Recovery from Incomplete Walsh Measurements Based on Orthogonal Matching Pursuit","authors":"Rasha Shoitan, Z. Nossair, I. Ibrahim, S. M. Elshoura","doi":"10.1109/ICCES48960.2019.9068114","DOIUrl":"https://doi.org/10.1109/ICCES48960.2019.9068114","url":null,"abstract":"Orthogonal matching pursuit (OMP) is a common reconstruction technique for sparse signal, which greedily calculates an estimated value for the original signal. Although OMP is fast and suitable for large sized applications, it requires a large number of measurements and suffers from low reconstruction accuracy. Many research suggested improving its reconstruction quality by transforming the image to the sparse domain; however this method increases the computational complexity especially at the encoding side. In this research, the Walsh measurement matrix is suggested to be applied directly on the image without any transformation to enhance the performance of the OMP technique. The use of the Walsh matrix reduces the computational complexity by getting rid of a transformation step at the encoder, and improves the OMP reconstruction accuracy as well. The proposed method has been applied on various test images and compared to the conventional BCS-OMP method. Simulation results have shown that using the proposed method has improved the quality of the output images by 2–7dB than the conventional one depending on the test image used. In addition, the computational complexity at the encoder and at the decoder for the proposed BCS-OMP technique is much less than that of the conventional technique.","PeriodicalId":136643,"journal":{"name":"2019 14th International Conference on Computer Engineering and Systems (ICCES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126225550","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

Convolutional Neural Network with Dilated Anchors for Object Detection in Very High Resolution Satellite Images 基于扩展锚点的卷积神经网络在超高分辨率卫星图像中的目标检测

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068145

Noureldin Laban, B. Abdellatif, H. M. Ebeid, Howida A. Shedeed, M. Tolba

{"title":"Convolutional Neural Network with Dilated Anchors for Object Detection in Very High Resolution Satellite Images","authors":"Noureldin Laban, B. Abdellatif, H. M. Ebeid, Howida A. Shedeed, M. Tolba","doi":"10.1109/ICCES48960.2019.9068145","DOIUrl":"https://doi.org/10.1109/ICCES48960.2019.9068145","url":null,"abstract":"Nowadays, object detection has acquired a great concentration either in ordinary images or satellite images. For satellite images, object detection is a challenging problem because objects have different scales and sparsity with very complicated background. Recent deep learning approaches have achieved breaking results for object detection than traditional ones. The ability of bounding boxes to catch existing objects with a complete and precise manner is still a challenging problem. We propose a dilated anchor method based on You Only Look Once version 3(YOLOv3) algorithm to make object detection more flexible and precise. The proposed method uses greater size anchor bounding boxes with about 30 % to 40 % larger than the traditional ones. This increase in anchor size increases the ability to catch more class objects with less influence on location detection. The experimental results using public NWPU VHR-10 dataset demonstrate the effectiveness of the proposed method in object detection of most classes and increase the overall accuracy with minimal effect on the precise location.","PeriodicalId":136643,"journal":{"name":"2019 14th International Conference on Computer Engineering and Systems (ICCES)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124345706","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: 5

A Review of Machine Learning Approaches for Epileptic Seizure Prediction 癫痫发作预测的机器学习方法综述

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068190

Sahar Selim, Ethar Elhinamy, Hisham Othman, Wael Abouelsaadat, M. A. Salem

{"title":"A Review of Machine Learning Approaches for Epileptic Seizure Prediction","authors":"Sahar Selim, Ethar Elhinamy, Hisham Othman, Wael Abouelsaadat, M. A. Salem","doi":"10.1109/ICCES48960.2019.9068190","DOIUrl":"https://doi.org/10.1109/ICCES48960.2019.9068190","url":null,"abstract":"Epilepsy is a neurological disorder that causes unusual behavior, sensations, and, in some cases, loss of awareness. It is accompanied by seizures, which are intervals of unusual patterns of brain activities. Early detection or prediction of the epileptic seizure is vital for providing effective instantaneous treatment and reducing the risk of injury. This has been an active area of research, fueled by the increasing affordability of non-invasive EEG capturing devices and the fast evolvement of the machine learning algorithms. This study provides an up-to-date review of the recent epileptic seizures approaches. Special attention is directed towards the feature extraction methods and classification algorithms. The commonly-used EEG datasets and their availability are noted. The discussed approaches range from those which rely on the traditional machine learning approaches as Naïve Bayes, Support Vector Machine (SVM), and Linear Discriminant Analysis (LDA); to those that benefit from the recent deep learning approaches, such as Long Short Term Memory (LSTM) and deep Convolutional Neural Network (CNN). It also includes the hybrid approaches that combine traditional and deep learning techniques, such as combining CNN with SVM. The study concludes the discussed approaches and their limitations by comparing them in terms of reported sensitivity, prediction time and false alarm rate.","PeriodicalId":136643,"journal":{"name":"2019 14th International Conference on Computer Engineering and Systems (ICCES)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130044322","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

Multi-techniques method for Solving Volterra Integral Equations of the Second Kind 求解第二类Volterra积分方程的多技术方法

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068138

E. S. Shoukralla, B. Ahmed

{"title":"Multi-techniques method for Solving Volterra Integral Equations of the Second Kind","authors":"E. S. Shoukralla, B. Ahmed","doi":"10.1109/ICCES48960.2019.9068138","DOIUrl":"https://doi.org/10.1109/ICCES48960.2019.9068138","url":null,"abstract":"This paper presents a new computational method for solving linear Volterra integral equations of the second kind. Three techniques are used to establish the method; the first technique is based on re-describing the Barycentric Lagrange interpolation in a new formula that reduces the round-off error resulting from the high degree interpolant polynomials; the second technique is based on expanding the Lagrange Barycentric functions into Maclaurin polynomials and expressing them via a monomial basis that facilitates calculations and reduces the procedure's steps. In the third technique, the equidistance Chebyshev interpolation nodes have been chosen so that the bad behavior of the solution near the endpoints of the integration domain is treated. Moreover, the method reduces the solution to the solution of an equivalent matrix equation that can be easily solved by using the undermined coefficients method. The obtained results of the five illustrated examples show that if the unknown function is algebraic, the numerical solutions are found in explicit mathematical form equal to the exact solutions, regardless of the properties of the given function or the kernel. If the unknown function is non-algebraic, the numerical solutions are strongly converging to the exact solutions rather close to the endpoint of the integration domain which ensures the accuracy, efficiency, and authenticity of the presented method.","PeriodicalId":136643,"journal":{"name":"2019 14th International Conference on Computer Engineering and Systems (ICCES)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129188887","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: 5