2018 11th International Conference on Developments in eSystems Engineering (DeSE)最新文献_第3页

Development of Robot-Human Imitation Program for Telerehabilitation System 远程康复系统人机模拟程序的研制

2018 11th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2018-09-01 DOI: 10.1109/DeSE.2018.00045

Wan Zharfan Bin Wan Zainal Abiddin, R. Jailani, A. R. Omar

{"title":"Development of Robot-Human Imitation Program for Telerehabilitation System","authors":"Wan Zharfan Bin Wan Zainal Abiddin, R. Jailani, A. R. Omar","doi":"10.1109/DeSE.2018.00045","DOIUrl":"https://doi.org/10.1109/DeSE.2018.00045","url":null,"abstract":"This paper presents the development of a robothuman imitation program which will be used in a telerehabilitation system for children with disabilities. The purpose of this project is to provide an easier and more efficient way of providing a rehabilitation process for children with disabilities, especially for autistic children. The number of autistic patients needing rehabilitation is increasing rapidly and with the problem of shortage of professional therapist, this can be an alternative solution to assist the therapist during rehabilitation period. Therefore, robot-human imitation program is developed consisting of autonomous programmable humanoid robot NAO and Microsoft Kinect as the motionsensing input device. The imitation program is conducted by sets of instructions given to the patients to imitate certain pose done by humanoid robot NAO. Microsoft Kinect Sensor is used to determine whether the imitation follows the required criteria or not. Matlab software interacts with both humanoid robot NAO and Microsoft Kinect Sensor to perform the rehabilitation program. The number of trials needed to achieve the required imitation will be translated into points and these points will be uploaded into online database for record and evaluation process.","PeriodicalId":404735,"journal":{"name":"2018 11th International Conference on Developments in eSystems Engineering (DeSE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132148949","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

Learning Analytics in Higher Education — The Path Toward Educational Management Intelligent Systems 高等教育中的学习分析——通往教育管理智能系统的道路

2018 11th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2018-09-01 DOI: 10.1109/DESE.2018.00050

Fawzia Awad Elhassan Ali, F. Klett

引用次数: 1

Numerical Study on Thermal-Hydraulic Performance and Entropy Generation of Nanofluid Flow in Channel with Oval Baffles 椭圆挡板通道内纳米流体热工性能及熵产的数值研究

2018 11th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2018-09-01 DOI: 10.1109/DeSE.2018.00062

M. Ahmed, M. K. Mohammed

{"title":"Numerical Study on Thermal-Hydraulic Performance and Entropy Generation of Nanofluid Flow in Channel with Oval Baffles","authors":"M. Ahmed, M. K. Mohammed","doi":"10.1109/DeSE.2018.00062","DOIUrl":"https://doi.org/10.1109/DeSE.2018.00062","url":null,"abstract":"In the present study, laminar forced convection of nanofluid flow in channel with oval baffles have been numerically investigated. The governing equations in terms of body-fitted coordinates are discretized using finite volume method and then iteratively solved using SIMPLE technique. The dimensionless baffle heights of 0, 0.1, 0.2, 0.3, 0.4 and 0.5 have been considered. SiO2-water nanofluid with nanoparticles volume fraction at 4% and nanoparticles diameters of 30 nm has been considered for Reynolds number ranging from 100 to 1000. The effect of Reynolds number and baffles height on the average Nusselt number, pressure drop, entropy generation and thermal-hydraulic performance have been presented and discussed. Results show that average Nusselt number, pressure drop, entropy generation increase with increasing baffle height and Reynolds number. Moreover, using oval baffles with baffles height of 0.2 or 0.3 (depend on Reynolds number) can be provided the best thermal-hydraulic performance Therefore, using nanofluid instead of traditional heat transfer fluids as well as the using oval baffles inside channels can potentially achieve considerable improvement in thermal performance, which can lead to design more compact heat exchangers.","PeriodicalId":404735,"journal":{"name":"2018 11th International Conference on Developments in eSystems Engineering (DeSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130544324","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

Application of Learning Analytics in Higher Educational Institutions 学习分析在高等教育机构中的应用

2018 11th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2018-09-01 DOI: 10.1109/DeSE.2018.00039

J. Mustafina, L. Galiullin, D. Al-Jumeily, Egor Petrov, M. Alloghani, A. Kaky

引用次数: 7

A Multi-layer Feed Forward Neural Network Approach for Diagnosing Diabetes 一种多层前馈神经网络诊断糖尿病方法

2018 11th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2018-09-01 DOI: 10.1109/DeSE.2018.00060

M. Dutt, Vimala Nunavath, M. G. Olsen

{"title":"A Multi-layer Feed Forward Neural Network Approach for Diagnosing Diabetes","authors":"M. Dutt, Vimala Nunavath, M. G. Olsen","doi":"10.1109/DeSE.2018.00060","DOIUrl":"https://doi.org/10.1109/DeSE.2018.00060","url":null,"abstract":"Diabetes is one of the worlds major health problems according to the World Health Organization. Recent surveys indicate that there is an increase in the number of diabetic patients resulting in an increase in serious complications such as heart attacks and deaths. Early diagnosis of diabetes, particularly of type 2 diabetes, is critical since it is vital for patients to get insulin treatments. However, diagnoses could be difficult especially in areas with few medical doctors. It is, therefore, a need for practical methods for the public for early detection and prevention with minimal intervention from medical professionals. A promising method for automated diagnosis is the use of artificial intelligence and in particular artificial neural networks. This paper presents an application of Multi-Layer Feed Forward Neural Networks (MLFNN) in diagnosing diabetes on publicly available Pima Indian Diabetes (PID) data set. A series of experiments are conducted on this data set with variation in learning algorithms, activation units, techniques to handle missing data and their impact on diagnosis accuracy is discussed. Finally, the results are compared with other states of art methods reported in the literature review. The achieved accuracy is 82.5% best of all related studies.","PeriodicalId":404735,"journal":{"name":"2018 11th International Conference on Developments in eSystems Engineering (DeSE)","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132697209","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

An Enhanced Neural Network Scheme to Model Pile Load-Deformation Under Uplift Loading 一种改进的神经网络方法来模拟桩在上拔荷载作用下的荷载-变形

2018 11th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2018-09-01 DOI: 10.1109/DeSE.2018.00027

A. Jebur, W. Atherton, R. A. Khaddar, E. Loffill, D. Al-Jumeily

引用次数: 0

Short-Term Water Demand Prediction in Residential Complexes: Case Study in Columbia City, USA 住宅小区短期用水需求预测:以美国哥伦比亚市为例

2018 11th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2018-09-01 DOI: 10.1109/DeSE.2018.00013

S. Zubaidi, P. Kot, R. Alkhaddar, M. Abdellatif, H. Al-Bugharbee

{"title":"Short-Term Water Demand Prediction in Residential Complexes: Case Study in Columbia City, USA","authors":"S. Zubaidi, P. Kot, R. Alkhaddar, M. Abdellatif, H. Al-Bugharbee","doi":"10.1109/DeSE.2018.00013","DOIUrl":"https://doi.org/10.1109/DeSE.2018.00013","url":null,"abstract":"Shortage of freshwater resources and increasing water demand are significant challenges facing water utilities. Accordingly, reliable and accurate short-term prediction is a valuable tool to efficiently operate and manage an existing municipal water supply system. The present study aims to develop an accurate and easy to apply methodology to predict the water demand based on past water consumption data. The proposed methodology uses singular spectrum analysis (SSA) and a linear autoregressive (AR) model to forecast accurately the required water quantities in forthcoming years. The SSA is used to clean the signal of structure-less noise. Then the AR is used to describe the behaviour of the past water consumption data and then to forecast the daily expected water demand in a short-term period. The suggested methodology is validated using daily water consumption data from July 2007- December 2016 in Columbia City, USA, as inputs for the short-term model. The initial results show that the suggested methodology, SSA-AR, has the ability to predict water demand accurately and outperform an AR model.","PeriodicalId":404735,"journal":{"name":"2018 11th International Conference on Developments in eSystems Engineering (DeSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130539143","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: 32

H-Diary: Mobile Application for Headache Diary and Remote Patient Monitoring H-Diary:头痛日记和远程患者监护的移动应用程序

2018 11th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2018-09-01 DOI: 10.1109/DeSE.2018.00010

A. Aljaaf, D. Al-Jumeily, T. Asman, A. Hussain, T. Baker, M. Alloghani, J. Mustafina

{"title":"H-Diary: Mobile Application for Headache Diary and Remote Patient Monitoring","authors":"A. Aljaaf, D. Al-Jumeily, T. Asman, A. Hussain, T. Baker, M. Alloghani, J. Mustafina","doi":"10.1109/DeSE.2018.00010","DOIUrl":"https://doi.org/10.1109/DeSE.2018.00010","url":null,"abstract":"The initial monitoring of patients with headache is an essential part of ongoing patient safety. Usually, patients are asked to fill in traditional paper-based diaries or outcome measures (e.g., HIT-6 and MIDAS) on a regular basis to measure the impact of headache on a patient's life. However, within publicly funded health care systems such as the UK's National Health Service (NHS), long term monitoring in neurology clinics appears not to be possible for all patients with chronic headache due to the continued decline in funding over the past decade. Nowadays, there is scope to improve patient monitoring and safety in the headache clinic by employing mobile health (mhealth) technologies. The M-health application represents an intelligent solution and holds potential to allow specialists to monitor a larger number of patients than would be possible within the current service model. Mobile applications could replace traditional paper-based diaries and outcome measures and provide several advantages including improved monitoring of historical responses to therapies, improved recording of side effects and can be adapted to improve communication between patients and clinicians. We therefore developed a mobile application-based system to allow remote monitoring of patients with chronic headache.","PeriodicalId":404735,"journal":{"name":"2018 11th International Conference on Developments in eSystems Engineering (DeSE)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126096715","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

Fog Computing Framework for Internet of Things Applications 物联网应用的雾计算框架

2018 11th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2018-09-01 DOI: 10.1109/DeSE.2018.00017

M. Al-khafajiy, T. Baker, Hilal Abbood Al-Libawy, Atif Waraich, C. Chalmers, O. Alfandi

{"title":"Fog Computing Framework for Internet of Things Applications","authors":"M. Al-khafajiy, T. Baker, Hilal Abbood Al-Libawy, Atif Waraich, C. Chalmers, O. Alfandi","doi":"10.1109/DeSE.2018.00017","DOIUrl":"https://doi.org/10.1109/DeSE.2018.00017","url":null,"abstract":"Within the Internet of Things (IoT) era, a big volume of data is generated/gathered every second from billions of connected devices. The current network paradigm, which relies on centralised data centres (a.k.a. Cloud computing), becomes impractical solution for IoT data storing and processing due to the long distance between the data source (e.g., sensors) and designated data centres. In other words, by the time the data reaches a far data centre, the importance of the data would be vanished. Therefore, the network topologies have been evolved to permit data processing and storage at the edge of the network, introducing what so-called \"Fog computing\". The later will obviously lead to improvements in quality of service (QoS) via processing and responding quickly and efficiently to varieties of data processing requests. Therefore, understanding Fog computing architecture and its role in improving QoS is a paramount research topic. In this research, we are proposing a Fog computing architecture and framework to improve QoS for IoT applications. Proposed system supports cooperation among Fog nodes in a given location, in order to permit data processing in a shared mode, hence satisfies QoS and serves largest number of service requests. The proposed framework could have the potential in achieving sustainable network paradigm and highlights significant benefits of Fog computing into the computing ecosystem.","PeriodicalId":404735,"journal":{"name":"2018 11th International Conference on Developments in eSystems Engineering (DeSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117147943","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: 27

Design Large Symmetric Algorithm for Securing Big Data 设计大数据保护的大对称算法

2018 11th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2018-09-01 DOI: 10.1109/DeSE.2018.00026

O. Dawood, A. Sagheer, S. S. Al-Rawi

{"title":"Design Large Symmetric Algorithm for Securing Big Data","authors":"O. Dawood, A. Sagheer, S. S. Al-Rawi","doi":"10.1109/DeSE.2018.00026","DOIUrl":"https://doi.org/10.1109/DeSE.2018.00026","url":null,"abstract":"Today several Institutions, organizations, companies and research centers deal with hundreds of gigabytes or terabytes of the massive amount of renewable data every day. This large volume of the data requires an appropriate algorithm to protect the sensitive data that may involve credential data. These important data may contain the username and confidential password, financial accounts numbers, social security numbers, secret one-time passwords of online access or digital certificates. The various types of data need high protection from stealing, hacking or malicious actions. In this paper, we have proposed a large block cipher model by following the principles of contemporary block ciphers criteria and implemented real designing steps of algebraic ideas. The proposed cipher is considered as an extended cipher with a big size of encryption/decryption block of 512-bits and a key length of 128-bits which are expanded to reach 512-bits fit to the state matrix. This cipher is based on Substitution and Permutation Network (SPN) structure with three layers of four iterated stages similar to the Advance Encryption Standard (AES) structure, but with an extended size. A new non-linear S-Box It has adopted, new Shifting technique and a distinct mix column of order eight as well as it uses a new technique in expanding key from 128-bits to 512-bits. The proposed algorithm accepts the key length of 128-bits as the initial input of a secret key and the ciphering key is expanded from 128-bits to 512-bits for the first round and the other expanded rounds. The key scheduling technique uses two constant vectors in addition to some shifting steps and extra of XOR bit-wise operations. Therefore, the expanded ciphering key with 512-bit will be generated recursively for each round in a fixed form.","PeriodicalId":404735,"journal":{"name":"2018 11th International Conference on Developments in eSystems Engineering (DeSE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117174334","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