Mohmmad Haseeb Haider, Saad Saleem, Johnson Rafaqat, Nosheen Sabahat
{"title":"Threat Modeling of Wireless Attacks on Advanced Metering Infrastructure","authors":"Mohmmad Haseeb Haider, Saad Saleem, Johnson Rafaqat, Nosheen Sabahat","doi":"10.1109/MACS48846.2019.9024779","DOIUrl":"https://doi.org/10.1109/MACS48846.2019.9024779","url":null,"abstract":"Cyber physical systems are playing an essential role to increase the efficiency of integrated computational and physical elements. Especially, Advanced Metering Infrastructure proves to be useful for customers and consumer companies for efficient usage of energy and its cost calculations. However, such systems are more prone to cyber-attacks because of frequent real time communication between the providers and customers. The wireless and wired networks are used as the source of communication between the various components of AMI. In this study, we have done threat modelling to identify possible wireless attacks to compromise the AMI assets. We have used STRIDE and DREAD models for threat modelling. One of the major contributions of this study is classification and risk ratings of wireless attacks using STRIDE and DREAD models.","PeriodicalId":434612,"journal":{"name":"2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS)","volume":"13 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":"123166397","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":"Serious Game User Interface Design Rules for dyslexic children","authors":"Naila Shabbir, Z. Bhatti, D. Hakro","doi":"10.1109/MACS48846.2019.9024786","DOIUrl":"https://doi.org/10.1109/MACS48846.2019.9024786","url":null,"abstract":"Dyslexia is known as a hidden neurological disorder in which children suffer from a language-based learning disorder. Dyslexic Child has weak phonological awareness, weak phonemics and difficult to learn letters sound, confused in directions, stumbled with long words. Internationally assistive multimedia tools are great source of learning for children with learning based difficulties. A significant number of cognitive multimedia mobile applications and serious games for dyslexic children were developed previously with diffident courseware, activities, and lessons. A dyslexic child feels difficult to learn therefore a verity of work done based on content but very few for User interface design rules specifically a group of users having dyslexia. In this research, we proposed six application design rules for serious games to cater and enhance the cognitive learning of dyslexic children. The proposed postulates cover application design parameters for designing multimedia application involving parameters such as ease to use, ecstasy during interaction and a satisfactory look and feel for a serious game. In the end a sketch of proposed serious game design being developed to help the designers to develop serious games following these application design rules.","PeriodicalId":434612,"journal":{"name":"2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS)","volume":"585 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":"116548418","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}
Sayed Rafay Bin Shah, S. Bashir, Muhammad Farooq, A. Azeem
{"title":"Radiation Pattern Reconfigurable Antenna Integrated With Electromagnetic Bandgap(EBG) Reflector","authors":"Sayed Rafay Bin Shah, S. Bashir, Muhammad Farooq, A. Azeem","doi":"10.1109/MACS48846.2019.9024795","DOIUrl":"https://doi.org/10.1109/MACS48846.2019.9024795","url":null,"abstract":"A pattern reconfigurable antenna having ability to switch beam in nine different directions is proposed in this paper. The proposed antenna consists of simple patch at the top and four complementary split ring resonators (CSRR) and eight PIN diodes integrated in the ground plane. By switching PIN diodes ON and OFF, the main beam can be switched to different directions in both E-plane and H plane. The antenna is designed for center frequency of 2.45 GHz. The proposed antenna is then integrated with $5times 5$ Electromagnetic bandgap (EBG) structure which acts as a reflector to enhance the gain by 1.2dB and beam switching from 31 to 62 degrees in desired directions. The antenna covers the entire azimuth angles while 3dB beam width covers the elevation angles from 0 to more than 47 degrees. The antenna is having a compact size of $0.82lambdatimes 0.78lambda$ while the EBG surface which acts as a reflector is having dimension of $179.4times 179.4text{mm}^{2}$ at 2.45 GHz. The proposed beam switchable antenna can be a prospective candidate for emerging 5G applications. The antenna is designed and simulated using CST Studio Suite.","PeriodicalId":434612,"journal":{"name":"2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS)","volume":"12 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":"114320500","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}
M. Y. Musa, Shafiullah Khan, I. Khan, A. Bello, Rafiullah, A. Bello, Arif Siddique
{"title":"Electric dipole analogue phonon polaritons in monolayer hexagonal boron nitrides","authors":"M. Y. Musa, Shafiullah Khan, I. Khan, A. Bello, Rafiullah, A. Bello, Arif Siddique","doi":"10.1109/MACS48846.2019.9024794","DOIUrl":"https://doi.org/10.1109/MACS48846.2019.9024794","url":null,"abstract":"The detail extensive property of phonon polaritons in wide bandgap semiconductor hexagonal boron nitrides is numerically analyzed and presented. The quasi-particles strongly coupled with photons of light within the hexagonal boron nitrides layer, the resultant wave-like quantum particle resides and propagates at the surface with properties similar to well-known plasmon polaritons in metals. These new class of phenomena provides a means to confine, control, and propagates electromagnetic energy into deep subwavelength scales, which was considered challenging prior to their exploration.","PeriodicalId":434612,"journal":{"name":"2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS)","volume":"34 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":"132564102","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":"Detection of Blur and Non-Blur Regions using Frequency-based Multi-level Fusion Transformation and Classification via KNN Matting","authors":"Muhammad Ammar Khan, Syed Aun Irtaza, Awais Khan","doi":"10.1109/MACS48846.2019.9024805","DOIUrl":"https://doi.org/10.1109/MACS48846.2019.9024805","url":null,"abstract":"In digital images, blur wraps significant information and makes automatic image analysis a challenging task for computer vision algorithms. Hence, accurate blur detection and classification becomes essential to understand the information wrapped up in blurry images. In this paper, we proposed a novel automatic blur and non-blur region detection, and classification technique “Frequency-based Multi-level Fusion Transformation” (FMFT) to detect the unwanted blurry region and classify the blur and non-blur regions using single image processing. Our proposed approach mainly works with frequency sub-bands in patch wise manner, without having any prior information regarding camera configuration, type of blur and intensity of blur. Moreover, the detected Tri-Map from FMFT is further processed to perform blur and non-blur regions classification along with sharp object detection from blurry images using KNN-Matting. The average F1-score of 0.98 signifies the effectiveness of the proposed method in terms of blur detection and classification. Additionally, the proposed method also outperforms existing state-of-the-art techniques.","PeriodicalId":434612,"journal":{"name":"2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS)","volume":"148 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":"122433386","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}
Awais Khan, Syed Aun Irtaza, A. Javed, Muhammad Ammar Khan
{"title":"Segmentation of Defocus Blur using Local Triplicate Co-Occurrence Patterns (LTCoP)","authors":"Awais Khan, Syed Aun Irtaza, A. Javed, Muhammad Ammar Khan","doi":"10.1109/MACS48846.2019.9024808","DOIUrl":"https://doi.org/10.1109/MACS48846.2019.9024808","url":null,"abstract":"Many digital images contain blurred regions which are caused by motion or defocus. The defocus blur reduces the contrast and sharpness detail of the image. Automatic blur detection and segmentation is an important and challenging task in the field of Computer vision “e.g. object recognition and scene interpretation” that requires the extraction and processing of large amounts of data from sharp areas of the image. Therefore, the sharp and blur areas must be segmented separately to assure that the information is extracted from the sharp regions. The existing techniques on blur detection and segmentation have taken a lot of effort and time to design metric maps of local clarity. Furthermore, these methods have various limitations “i.e. low accuracy rate in noisy images, detecting blurred smooth and sharp smooth regions, and high execution cost”. Therefore, there is a dire necessity to propose a method for the detection and segmentation of defocus blur robust to the aforementioned limitations. In this paper, we present a novel defocus blur detection and segmentation algorithm, “Local Triplicate Co-occurrence Patterns” (LTCoP) for the separation of in-focus and out-of-focus regions. It is observed that the fusion of extracted higher and lower patterns of LTCoP produces far better results than the others. To test the effectiveness of our algorithm, the proposed method is compared with several state-of-the-art techniques over a large number of sample images. The experimental results show that the proposed technique obtains comparative results with state-of-the-art methods and offers a significant high-speed advantage over them. Therefore, we argue that the proposed method can reliably be used for defocus blur detection and segmentation in high-density images.","PeriodicalId":434612,"journal":{"name":"2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS)","volume":"47 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":"132558763","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}
Shakeel Muhammad Ibrahim, M. Ibrahim, Muhammad Usman, I. Naseem, M. Moinuddin
{"title":"A Study on Heart Segmentation Using Deep Learning Algorithm for MRI Scans","authors":"Shakeel Muhammad Ibrahim, M. Ibrahim, Muhammad Usman, I. Naseem, M. Moinuddin","doi":"10.1109/MACS48846.2019.9024793","DOIUrl":"https://doi.org/10.1109/MACS48846.2019.9024793","url":null,"abstract":"Among all body organs heart is a one of the most vital of organs of human body. Dysfunction of heart function even for a couple of moments can be fatal, therefore, efficient monitoring of its physiological state is essential for the patients with cardiovascular diseases. In the recent past, various computer assisted medical imaging systems have been proposed for the segmentation of the organ of interest. However, for the segmentation of heart using MRI, only few methods have been proposed each with its own merits and demerits. For further advancement in this area of research, we analyze automated heart segmentation methods for magnetic resonance images. The analysis are based on deep learning methods that processes a full MR scan in a slice by slice fashion to predict desired mask for heart region. We design two encoder-decoder type fully convolutional neural network models (1) Multi-Channel input scheme (also known as 2.5D method), (2) a single channel input scheme with relatively large size network. Both models are evaluated on real MRI dataset and their performances are analysed for different test samples on standard measures such as Jaccard score, Youden's index and Dice score etc. Python implementation of our code is made publicly available at https://github.com/Shak97/iceest2019 for performance evaluation.","PeriodicalId":434612,"journal":{"name":"2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS)","volume":"117 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":"124355813","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}
T. Khan, Z. Shahid, M. Alam, M. M. Su’ud, K. Kadir
{"title":"Early Flood Risk Assessment using Machine Learning: A Comparative study of SVM, Q-SVM, K-NN and LDA","authors":"T. Khan, Z. Shahid, M. Alam, M. M. Su’ud, K. Kadir","doi":"10.1109/MACS48846.2019.9024796","DOIUrl":"https://doi.org/10.1109/MACS48846.2019.9024796","url":null,"abstract":"Abundant floods and cyclones are the major cause of large emergency and acute ruin of properties in various countries. Usually floods are acknowledged as one of the most crucial problem in Malaysia, Indonesia, Bangladesh and France etc. Diverse techniques were carried out for a robust prediction system to investigate the flash floods. A dynamic system for the identification of run offs involves the computation of water peak, rainfall velocity, Global Positioning System-Precipitable Water Vapor (GPS PWV), wind speed, orientation, complex levels of river, land humidity, oceanic basement pressure and flash flood color with authentic cognizance algorithms. Accurate and precise forecasting of floods is very complex as it depends on many factors like precipitation, cloud to ground flashes, geomagnetic field, color of water, wind velocity, wind direction, temperature and others. In this research paper classification approaches like Linear Support vector machine, Quadratic Support vector machine, K-nearest neighbor and Linear discriminant analysis have been implemented to classify the true positive event of flash floods accurately and precisely. Comparative analysis has been performed between these three algorithms to determine the highest accuracy algorithm. Parametric comparison and results of training and testing proved that Support Vector Machine (SVM) performed very well.","PeriodicalId":434612,"journal":{"name":"2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS)","volume":"27 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":"129400280","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. C. Mustapha, S. A. Mokhtar, J. Jaffar, P. Boursier
{"title":"Measurement of Data Consumer Satisfaction with Data Quality for Improvement of Data Utilization","authors":"J. C. Mustapha, S. A. Mokhtar, J. Jaffar, P. Boursier","doi":"10.1109/MACS48846.2019.9024792","DOIUrl":"https://doi.org/10.1109/MACS48846.2019.9024792","url":null,"abstract":"Data quality is antecedent to data utilization. Satisfaction of data consumer with the data quality is a significant factor for active data utilization. This paper perform a study of data consumer satisfaction level towards data quality in using the information systems among the Malaysian disaster management agencies. The objectives of this study were to identify data consumer perceived data quality constructs that needed for active data utilization, to measure the satisfaction level of data consumers with the quality of data, and to investigate the significant of differences of overall satisfaction of data quality constructs among data consumers from different administrative levels. A stratified random sample design was used that involved 45 respondents from the different national disaster management agencies. The analysis on the perception of the data consumers on important data quality constructs revealed twelve from fifteen constructs that important for them; accessibility, timely, accuracy, completeness, valid, interpretability, consistency, clarity, relevant, comparability, usability and trustworthy. However, results from the Important-Performance Analysis evaluation considered only eight data quality constructs that significant for them. Data quality construct namely timely, accuracy and consistency were well maintained but trustworthy, relevant, usability, completeness and accessibility need to be improved. The overall satisfaction rate was capped at 65.8% based on Consumer Satisfaction Index and 63.96% based on Employee Satisfaction Index, respectively. This indicates that overall data consumer satisfaction was at moderate level. The results also indicates that there was no difference of overall perceived performance or satisfaction of data quality constructs among data consumers from different administrative levels.","PeriodicalId":434612,"journal":{"name":"2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS)","volume":"60 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":"125796386","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}