{"title":"Passive Indoor Positioning System (PIPS) Using Near Field Communication (NFC) Technology","authors":"Stephen Tang, BeeLing Tok, Martin Hanneghan","doi":"10.1109/DESE.2015.48","DOIUrl":"https://doi.org/10.1109/DESE.2015.48","url":null,"abstract":"Travel can be an enjoyable experience but it can also be stressful when one is unable to get to the destination in timely manner. Satellite navigation systems (satnav) such as the ubiquitous Global Positioning System (GPS) provide an aid to locating unfamiliar places without hassle. However, the effectiveness of satnav stops at the doorstep of the building due to its requirement for line of sight with orbiting satellites. Within a large complex building, navigation typically relies on building signage, information from kiosks and getting assistance from information desks. The advancement of mobile devices and wireless technology offer an interesting proposition for the development of indoor positioning systems. In this paper, we propose a passive indoor positioning system to provide navigational aid and discuss findings from our pilot experiment using NFC technology.","PeriodicalId":287948,"journal":{"name":"2015 International Conference on Developments of E-Systems Engineering (DeSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121293559","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}
J. Roßmann, M. Schluse, M. Hoppen, Daniel Losch, N. Hempe, Christian Schlette
{"title":"Virtual BIM Testbeds: The eRobotics Approach to BIM and Its Integration into Simulation, Rendering, Virtual Reality and More","authors":"J. Roßmann, M. Schluse, M. Hoppen, Daniel Losch, N. Hempe, Christian Schlette","doi":"10.1109/DESE.2015.67","DOIUrl":"https://doi.org/10.1109/DESE.2015.67","url":null,"abstract":"Way beyond its industrial roots, robotics evolved to be a highly interdisciplinary field with a variety of applications in a smart world. The eRobotics methodology addresses this evolution by providing platforms where roboticist can exchange ideas and collaborate with experts from other disciplines for developing complex technical systems and automated solutions. In this contribution, we describe how Building Information Modeling (BIM) technologies are integrated into Virtual Testbeds in order to enable the full spectrum of the eRobotics methodology for architects and civil engineers, including its capabilities for simulation, rendering, Virtual Reality and more.","PeriodicalId":287948,"journal":{"name":"2015 International Conference on Developments of E-Systems Engineering (DeSE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116529467","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}
{"title":"Modeling the Influence of Metadata on the Storage Size of Databases Implemented with Different Database Systems","authors":"Omar Kassem Khalil","doi":"10.1109/DESE.2015.45","DOIUrl":"https://doi.org/10.1109/DESE.2015.45","url":null,"abstract":"In his paper we investigate the influence of metadata on the storage size of databases implemented with different database systems such as MS Access, SQL Server and Oracle. Several sample databases have been designed and implemented in order to investigate the influence of every metadata component (attributes, tables, relationships and constraints) on the storage size of the entire database. The experimental results show clearly that the storage size of the database metadata depends on the number of attributes or tables in database systems. When the number of attributes or tables increases from 1 to 10, the storage size increases linearly with different average slopes which depend on the database system. The highest slope was observed for Oracle, while MS Access shows the lowest one. This approach of modeling the storage size in a linear form significantly simplifies the model of metadata on the storage size prediction, which is an important and useful guideline for the design and implementation of database system.","PeriodicalId":287948,"journal":{"name":"2015 International Conference on Developments of E-Systems Engineering (DeSE)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128979460","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}
{"title":"Automated Extraction of the Coronary Tree by Integrating Localized Aorta-Based Intensity Distribution Statistics in Active Contour Segmentation","authors":"M. M. Jawaid, P. Liatsis, Sanam Narejo","doi":"10.1109/DESE.2015.20","DOIUrl":"https://doi.org/10.1109/DESE.2015.20","url":null,"abstract":"State-of-the-art Computed Tomography Angiography (CTA) scanners are capable of acquiring rigorous 3D vasculature information. Blood filled vessels are extracted from the data cloud for pathological analysis on the basis of intensity value, measured in Hounsfield units. Setting a hard threshold in CTA images for differentiating coronaries from fatty muscles of heart could be misleading as it lacks behavioural information of the contrast agent in the respective CTA volume. It is common for under-or over-segmentation to occur due to the improper diffusion of the contrast agent in the different branches. This problem motivates research to determine an optimal threshold for volumes individually by examining the behaviour of the contrast agent. In this work, intensity distribution statistics (extracted from the segmented aorta through an examination of the initial CTA axial slices) is integrated in the curve evolution process to track the progression of coronary arteries. Optimal threshold value is obtained individually for 12 clinical volumes by Gaussian fitting of the aorta intensity histogram. The obtained range is validated by comparing the intensity values of manually selected coronary segments for each volume at 50 random points. The automatic segmentation process starts with the detection of a coronary seed point based on geometric analysis of the aorta. In the subsequent stages, the derived intensity threshold value and seed point are used in localized active contour-based segmentation for precise delineation of vessel boundaries. Initial visual results appear promising and validate the standard anatomical structure of coronary trees, whereas statistical quantification is in process.","PeriodicalId":287948,"journal":{"name":"2015 International Conference on Developments of E-Systems Engineering (DeSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130997161","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}
{"title":"Data Warehouse and Data Virtualization Comparative Study","authors":"A. Mousa, N. Shiratuddin","doi":"10.1109/DESE.2015.26","DOIUrl":"https://doi.org/10.1109/DESE.2015.26","url":null,"abstract":"Currently, in the competitive world of business organizations is changing. This has led to the decision-making systems are changing, and as it is known that the decision-making systems rely entirely on Business Intelligence and this in turn depends on the accuracy of the data integration process. However, there are two main types of data integration, the first one is physical integration represented by Data Warehouse, while the other named by virtual integration represented by Data Virtualization. In this paper, we review both techniques (Data Warehouse and Data Virtualization) in addition to the listed usefulness and disadvantages of each, the main contribution of this paper is a comparison between (DW and DV) to help researchers in this area and the developers of the best decision-making through the process of building their applications.","PeriodicalId":287948,"journal":{"name":"2015 International Conference on Developments of E-Systems Engineering (DeSE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131014655","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}
{"title":"Evaluating Interdependencies and Cascading Failures Using Distributed Attack Graph Generation Methods for Critical Infrastructure Defence","authors":"Kirsty E. Lever, Áine MacDermott, K. Kifayat","doi":"10.1109/DESE.2015.34","DOIUrl":"https://doi.org/10.1109/DESE.2015.34","url":null,"abstract":"Attack graphs facilitate modelling, detection and analysis of networks, along with providing the functionality to identify potential vulnerabilities and risks within networked systems. When attack graphs are applied to large heterogeneous collaborative infrastructures i.e. Systems-of-Systems (such as critical infrastructures), existing schemas struggle to detect and evaluate interdependencies and cascading failures. The failings of these existing schemas include but are not limited to, the inability to accurately ascertain the relationships and interdependencies between risks, to adequately identify and visualise the consequences of identified risks, and the inability to reduce attack graph size and generation complexity. Having simulated a city based on real-world scenarios and critical infrastructures, we can visualise the effects of cascading failure. Data extracted from the simulation will be used to evaluate our schema, and will assist in the analysis of the potential consequences of component and system failures. We discuss the benefits of a distributed schema which utilises attack graph generation methods, which provides a means for collaborative interdependent systems to be fully analysed, along with assisting in the identification of interdependencies and cascading failures which will be visualised and reported.","PeriodicalId":287948,"journal":{"name":"2015 International Conference on Developments of E-Systems Engineering (DeSE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128567624","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}
{"title":"Remote e-Lab Towards an Integrated Cognitive Experience","authors":"Catherine M. Elias, Omar M. Shehata, E. I. Morgan","doi":"10.1109/DESE.2015.54","DOIUrl":"https://doi.org/10.1109/DESE.2015.54","url":null,"abstract":"Nowadays, the world is witnessing a huge development on the internet, a new revolution that is increasing day after another. We as engineers, we have to keep up with this huge phenomenon, take advantage and use such technology properly to achieve great work. So to take benefit of this great technology, scientists put their sights on developing a new type of labs. This new type of labs is emerged recently. Now engineers are able to use labs and perform experiments whenever they want, wherever they are. This new type of labs is called \"remote labs\". So in order to keep up with this new phenomenon, the aim of this paper is to implement a remote lab in The German University in Cairo (GUC). This lab works on connecting all the engineers all over the world and helps them to improve theories and research. The implementation of this remote lab will be with minimum cost possible, but while maintaining the effectiveness of the remote lab. Proving its effectiveness is done by controlling of balancing bi-copter mechanism experiment, including detailing our conducted experiments. The experiments worked successfully. One of the experiments done was balancing the bi-copter at a reference angle of 0 with proportional gain of 1 with overshoot 40 degrees and settling time 16 seconds.","PeriodicalId":287948,"journal":{"name":"2015 International Conference on Developments of E-Systems Engineering (DeSE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121747073","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}
Mohammed Khalaf, A. Hussain, D. Al-Jumeily, R. Keenan, Robert Keight, P. Fergus, I. Idowu
{"title":"Applied Difference Techniques of Machine Learning Algorithm and Web-Based Management System for Sickle Cell Disease","authors":"Mohammed Khalaf, A. Hussain, D. Al-Jumeily, R. Keenan, Robert Keight, P. Fergus, I. Idowu","doi":"10.1109/DESE.2015.18","DOIUrl":"https://doi.org/10.1109/DESE.2015.18","url":null,"abstract":"Machine learning algorithm and web-based application systems have played a major role in improving the healthcare organisation in terms of continuous tele-monitoring therapy and maintaining telemedicine management systems. Currently, no intelligent system has been used in terms of managing sickle cell disease. However, this paper presents a system that facilitates a shift from manual methods to automated approach that can offer fast data collection with a reduced error rate. The system will be able to examine patient data and provide a suitable amount of Hydroxycarbamide drugs/liquid for each patient. By using a web-based system, we tend to improve patient welfare and mitigate patient illness before it gets worse over time, particularly with elderly people. The system will forward any critical concerns from the patient, it generates an automatic message to the medical doctors based on web-based platform in order to assist them with optimal decision-making. The initial case study that has been addressed in this project is how to make predictions for sickle cell disease for the amount of dose based on different architectures of machine learning in order to obtain high accuracy and performance. The most significant key for making predictions of the amount of medication is to enable healthcare organisation to provide accurate therapy recommendations based on previous data. The results using ANN showed that the proposed network produces significant improvements using the different evaluation methods. In our experiments, The MLP algorithm produced the best result in terms of the lowest error rates compare with other techniques. The Mean Square Error, Root Mean Square Error, Mean Absolute Error, and Mean Absolute Percentage Error achieved 17887.55, 133.74, 90.20 and 0.1345, respectively.","PeriodicalId":287948,"journal":{"name":"2015 International Conference on Developments of E-Systems Engineering (DeSE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134064087","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}
{"title":"Modelling and Parameter Observation for Proton Exchange Membrane Fuel Cell","authors":"Younane Nassif, H. Hamdan","doi":"10.1109/DESE.2015.46","DOIUrl":"https://doi.org/10.1109/DESE.2015.46","url":null,"abstract":"Proton-Exchange Membrane (PEM) plays a potential role in offering effective and sophisticated solutions to a wide range of real-world applications. It is seen as a suitable choice to fit the emission reduction schedules and to challenge other technologies in terms of efficiency and greenhouse gases production. In automotive systems, this technology offers the advantage of being able to operate at low temperature, consuming the oxygen from the air and having short automotive startup time. This makes it a challenging alternative to the traditional technologies used in automotive systems. The fuel cell consists of a membrane that separates two electrodes (cathode and anode). This work considers only the cathode which is divided into two chambers: the channel and the Gas Diffusion Layer (GDL). The hydrogen generated from the fuel processing system, is fed into the anode of the cell stack, while air is pumped into the cathode through an air compressor. Fuel cells produce water and heat by converting the chemical energy to electrical energy. As all chemical reactions, the fuel cell's optimal efficiency depends on the operating conditions: air flow, humidity, pressure, and temperature. For a good transportation of the reactant gases (hydrogen and air), the hydration of the membrane needs to be regulated. For this reason, this paper deals with the internal parameter identification of a PEM fuel cell system, especially the flooding phenomenon. This is performed by proposing a model-based observer, which is the core of an on-line monitoring method. The proposed procedure is simple: it consists of rebuilding the chosen internal parameters, which are the vapor and the oxygen partial pressures at the GDL, aiming to monitor the hydration parameter. This strategy is cost-effective and its approach can be extended to cover the whole stack.","PeriodicalId":287948,"journal":{"name":"2015 International Conference on Developments of E-Systems Engineering (DeSE)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133834820","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}
{"title":"Predicting Energy Consumption by Creating Power Network Meta Model: Creating Advanced Meta Models of Power Networks Using Geographical Information System and Web Services for Weather Prediction","authors":"Nikolay Baldzhiev, I. E. Ivanov","doi":"10.1109/DESE.2015.50","DOIUrl":"https://doi.org/10.1109/DESE.2015.50","url":null,"abstract":"In the work a meta-model of electrical power network is created combining different sets of data. Analysis over this set of data is made, and a methodology for electrical consummation prediction is given. The algorithm is based on weather condition predictions and information about population -- mitigation and work days.","PeriodicalId":287948,"journal":{"name":"2015 International Conference on Developments of E-Systems Engineering (DeSE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122041183","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}