2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS)最新文献

{"title":"Biometric Authentication System Based on Electrocardiogram (ECG)","authors":"Muhammad Umar Khan, Sumair Aziz, Khushbakht Iqtidar, Abdullah F. Saud, Zohaib Azhar","doi":"10.1109/MACS48846.2019.9024820","DOIUrl":"https://doi.org/10.1109/MACS48846.2019.9024820","url":null,"abstract":"Electrocardiogram (ECG) is the measure of the electrical activity of heart which provides a powerful authentication system for person recognition due to the variation in ECG signatures. In spite of fingerprint biometrics and face detection in past years, biometric system based on ECG is more in pace. In this article a simple method is proposed for person recognition consisting of first denoising the signal by using wavelet decomposition. The denoised signal is then passed through the process of EMD. First two IMFs are selected and from the resulting signal a combination of time domain and frequency domain features are extracted and cubic SVM is trained to get a highest accuracy of 98.4% with 35 subjects.","PeriodicalId":434612,"journal":{"name":"2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS)","volume":"15 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":"122324055","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":"Effectual Proposed Pitch Controller of the Wind Turbine for Maximal Performance","authors":"A. Iqbal, Deng Ying, A. Saleem, Muhammad Aftab Hayat, M. Mateen, M. Javed","doi":"10.1109/MACS48846.2019.9024770","DOIUrl":"https://doi.org/10.1109/MACS48846.2019.9024770","url":null,"abstract":"Control techniques have prime importance for any system. The wind turbine system necessitates an effective and precise control system to meet energy requirements. The pitch angle control is of prime importance for regulating the power output along with to restrain the rotor speed of wind turbine (WT). This paper proposes an improved PID controller of the pitch control to enhance the power output in addition to bound the WT speed. This technique also assists to dwindle the loading effect, produced by the aerodynamic forces, through limiting the torque. The proposed methodology is tested with the use of MATLAB/Simulink and it is equated with the PI control technique to assess its usefulness. The designed controller is verified on 2 MW doubly fed induction generator (DFIG) WT. Simulation results validate the effectiveness and precision of the presented control technique.","PeriodicalId":434612,"journal":{"name":"2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS)","volume":"107 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":"127091495","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":"Multiscale Geographic Exploration, Observation, Simulation, and Representation","authors":"Truong My Thu Thao, Syed Yazdani Samar, Pottier Bernard, Rodin Vincent, H. X. Hiep","doi":"10.1109/MACS48846.2019.9024777","DOIUrl":"https://doi.org/10.1109/MACS48846.2019.9024777","url":null,"abstract":"Impacts of spatial resolution on the predictive capability of flood simulation models have shown the necessity to assemble geographic models up to the level where physical behaviour can be expressed. Indeed, simulation systems in large areas lead to an increasing amount of simulation datasets or decreasing resolution causes negative effects. Besides, the Cellular Automata model have been applied successfully to many natural phenomena. This paper proposes an analysis of environmental information in relation with extended simulation capabilities. This approach uses a cellular automata model integrated with Geographic Information System (GIS) taking advantages of parallel computing resources operated using the Message Passing Interface (MPI) framework.","PeriodicalId":434612,"journal":{"name":"2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS)","volume":"44 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":"114880810","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":"Smart Building Energy Management using Big Data Analytic Approach","authors":"N. Hashim, N. Ramli","doi":"10.1109/MACS48846.2019.9024800","DOIUrl":"https://doi.org/10.1109/MACS48846.2019.9024800","url":null,"abstract":"The increasing amount of population in Malaysia reflects on its energy consumption, especially on its electrical usage. Hence, a few vital points on energy issues are discussed predominantly in the engineering world on how it could be utilized optimally. One of the way of looking thorough onto this matter is through an Energy Management System. This study is focused on one of the aided system that can boost energy management system performance called Internet of Things and Big Data (IBDA) architecture. The system mentioned are based on four elements of generation, extraction, storage and visualization. Data marked as voltage, current, power, energy, temperature and humidity from existing IoT environment were stored into an open source cloud of phpMyAdmin. From there, the data can be imported manually for energy audit purpose or automatically in real time to be visualized in website or any online medium. For this case study, the data from the storage are scaled in MySQL indexing before it is presented visually in the website that were built based on HTML, CSS and JavaScript language. The accomplished system acts as a monitoring tool for energy management consultant to study the energy profiling of any environment before any further consultation can be made. The system can be improved more on the data variety, volume and velocity as the existing system only emphasis on the foundation of IBDA not on Big Data specifically as it requires a huge amount of data for the system to be able to adjust to its literal meaning.","PeriodicalId":434612,"journal":{"name":"2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS)","volume":"3 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":"128492968","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":"Entrepreneurial Intentions Among University's Students In Malaysia","authors":"Raazi Ahmad, Farkad Mahli, Shehnaz Tehseen, Zuhaib Hassan Qureshi, Umme Mobasharat Ul Jannat","doi":"10.1109/MACS48846.2019.9024788","DOIUrl":"https://doi.org/10.1109/MACS48846.2019.9024788","url":null,"abstract":"The issue of employability is rising year by year, and Malaysia is also taking it as a serious challenge. The Malaysian government has carried out various initiatives to address the issue of employability; conversely, one of them was successfully promoting the development of entrepreneurship by increasing entrepreneurial courses for instance. The intention was to increase the entrepreneurial intentions amongst university's students to create job opportunities for themselves which could lead to a boost for a developing nation's economy as well. However, the government's initiatives did not succeed as they were expected. The main reason for it ending as a flopped plan was due to failing to identify an individual's intentions. Therefore, the primary purpose of this research is to inspect the Malaysian universities student's intention of being an entrepreneur because, without intention, they might not even consider the option of initiating their own business. This research adapted and integrated the two most common models of examining the entrepreneurial intention, i.e, Theory of Planned Behaviour (‘TPB’) by Ajzen and Shapero and Sokol's model of an Entrepreneurial Event (‘SEE’). This is a quantitative study and a total of 160 students from different Malaysian universities were surveyed using non-probability sampling techniques and by a well-established instrument with the standardized questionnaire, to examine hypothesized relationships. SPSS was used for analyzing the demographic profile and SMART-PLS was utilized for testing the developed hypotheses. The results show that attitude, subjective norms, and perceived behavioural control positively affect the perceived desirability as well as perceived feasibility. Moreover, perceived desirability and perceived feasibility are also positively associated with an entrepreneurial intention. Furthermore, perceived desirability is found as a mediator for the relationship among predictors of entrepreneurial intention but perceived feasibility fails to mediate the association of subjective norm and entrepreneurial intention. By understanding the background of university student's intentions towards entrepreneurship, the Malaysian government and organizations can better present themselves in formulating better initiatives to stimulate and encourage youth to have entrepreneurial intentions in order to initiate their own business. This study also offers some useful managerial implications using the advanced technique of IPM to enhance the performance of critical factors that contribute towards entrepreneurial intentions.","PeriodicalId":434612,"journal":{"name":"2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS)","volume":"17 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":"123436437","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":"Performance of some new ridge regression estimators","authors":"M. Suhail, S. Chand","doi":"10.1109/MACS48846.2019.9024784","DOIUrl":"https://doi.org/10.1109/MACS48846.2019.9024784","url":null,"abstract":"Ridge regression is used to circumvent the effect of multicollinearity. Ridge parameter plays an important role in reducing the variance of ridge estimators. In this paper, we consider some existing estimators and propose some new ridge regression estimators for linear regression models. The performance of estimators is evaluated through a Monte Carlo simulation study. Based on mean square error criterion, our proposed estimators show some better performance as compared to other considered ridge estimators. An application is also given to illustrate the simulation results.","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":"122389263","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 Mining for Forecasting OGDCL Share Prices Using WEKA","authors":"Iffraah Rehman, Tariq Rahim Soomro","doi":"10.1109/MACS48846.2019.9024780","DOIUrl":"https://doi.org/10.1109/MACS48846.2019.9024780","url":null,"abstract":"Data mining is one of the emerging techniques that is being used in different areas science, education etc. with different machine learning algorithms. Different tools are available for performing data mining, one of which is WEKA. The aim of this paper is to use WEKA tool for data analysis of OGDCL stock prices. Two forecasting algorithms i.e. SMOreg and Multilayer perceptron has been used. Open, high, low and close price of OGDC stock share has been predicted for ten days. The results for obtained from both algorithms have been compared. It was found that SMOreg provides the most accurate result of the two algorithms for the given dataset. Further analysis of different forecasting algorithm for more accurate result has to done in future.","PeriodicalId":434612,"journal":{"name":"2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS)","volume":"22 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":"116863168","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":"Process Mining in Data Science: A Literature Review","authors":"R. Ahmed, M. Faizan, Anwer Irshad Burney","doi":"10.1109/MACS48846.2019.9024806","DOIUrl":"https://doi.org/10.1109/MACS48846.2019.9024806","url":null,"abstract":"Today, many organizations are required to resolve the difficulties associated with data mining techniques, however, there are many challenges pertaining the accomplishment of information retrieval as a massive quantity of data is inconsistent and therefor forcing the industrialists to perform rapidly to retain afloat. Innovative scientific systems and procedures support to quickly reply inquiries that can indicate growth in productivity, improving efficiency and excellence of services. Although, many tools have been developed for handling of data in real-time and overall led the experienced user to handle real communication software and correctly interpret the results cleverly, efficient and dominant concrete approaches exist such as process mining that ultimately allows an organization to benefit from the data warehouses in their system. Process mining provides insights at time of analyzing processes of particular problems, and also performs the conformance checking of processes aiming at finding bottlenecks. This paper prescribes the primary inside of mining informations systems and explain the various deterministic techniques in process mining used in the auto-learning process model generated from the events data. We also review all modern techniques and alogorithms used in process mining.","PeriodicalId":434612,"journal":{"name":"2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS)","volume":"55 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":"123213395","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":"An LSF Based DG Placement Approach for Power Losses Minimization of the Radial Distribution Network","authors":"M. J. Tahir, B. A. Bakar, M. Alam, M. M. Su’ud","doi":"10.1109/MACS48846.2019.9024811","DOIUrl":"https://doi.org/10.1109/MACS48846.2019.9024811","url":null,"abstract":"Generator placement is one of the conventional methods which is adopted to get the benefits in terms of minimizing the power losses and voltage profile enhancement in the radial distribution network (RDN). This formulation is known as the optimal generator placement (OGP) problem. OGP is taken as a composite and non-linear problem, in the outlook of optimization. To solve this problem in this paper, initially, a loss sensitivity factor (LSF) method is utilized to highlight the potential candidate buses for the generator placement then a self-sorting approach (SSA) is proposed, which decides the potential bus for the generator placement and generator rating as well. To evaluate the performance of the proposed approach IEEE 15,33, and 69 bus systems are considered as a test system, and the results are compared with the literature in terms of voltage profile and power losses, for all types of distribution generators (DGs).","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":"126732098","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":"Research Publication Trends in Software Engineering","authors":"Sanam Fayaz Sahito, Abdul Rehman Gilal, Rizwan Ali Abro, A. Waqas, Khisaluddin Shaikh","doi":"10.1109/MACS48846.2019.9024767","DOIUrl":"https://doi.org/10.1109/MACS48846.2019.9024767","url":null,"abstract":"There has been outstanding growth in the field of Software Engineering. With this emergence, scholars of this area worked hard to produce researches that would really be effective in the progress of Software Engineering. New researchers always face number of problems while initiating any work. Lack of proper guideline and being progressing field, it becomes crucial to provide such detailed and up-to-date information about latest research publication trends in Software Engineering. This research has been conducted in order to address this problem and help the researcher community by providing them guidance. While conducting this study, about 57 research articles published only in 2018 have been considered from renowned Journal of Software Engineering. On the basis of title, abstract, content, contribution form, area, occurrences and citation, those articles are evaluated. Results show that software testing is on hype while comparing with development, maintenance, refactoring and management. MS scholars and PhD students surely get advantage after getting such information. This study is more focused on providing guidelines so that scholar community can emerge in a better way.","PeriodicalId":434612,"journal":{"name":"2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS)","volume":"91 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134475974","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}