Safia Rahmat, Quamar Niyaz, A. Javaid, Weiqing Sun
{"title":"Normal and anomalous traffic flow pattern analysis for organizational networks","authors":"Safia Rahmat, Quamar Niyaz, A. Javaid, Weiqing Sun","doi":"10.1109/CCECE.2017.7946652","DOIUrl":"https://doi.org/10.1109/CCECE.2017.7946652","url":null,"abstract":"Traffic monitoring and analysis has become necessary to understand the nature of information flowing within an organization. This is particularly important due to the recent trend of increase in the percentage of anomalous traffic in the overall organizational traffic composition. In this work, we attempt to determine the typical characteristics seen in various organizational network traffic. We use simple flow analysis methods on different datasets which include normal and anomalous traffic. Results from such an analysis can play a vital role in problems ranging from feature selection for machine learning based models to help tune the rules of an intrusion detection system (IDS). Based on the analysis of number of flows, packet size, number of packets per flow, flow duration, and protocol composition present in each dataset, we present our findings in this work.","PeriodicalId":238720,"journal":{"name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115233270","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 evaluation of mixtures of PLDA and conventional PLDA for a small-set speaker verification system","authors":"Qianhui Wan, M. Bouchard","doi":"10.1109/CCECE.2017.7946645","DOIUrl":"https://doi.org/10.1109/CCECE.2017.7946645","url":null,"abstract":"This paper compares the use of signal to noise ratio (SNR)-dependent and SNR-independent mixtures of probabilistic linear discriminant analysis (PLDA) versus conventional PLDA, under multi-noise and multi-SNR conditions for a small-set speaker verification system. Results indicate that conventional PLDA is more robust under multi-SNR conditions. The effect of the testing speech length is also examined and speech signals with a length of 5 seconds were found to achieve acceptable results.","PeriodicalId":238720,"journal":{"name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124274829","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":"Impact of demand response management on improving social welfare of remote communities through integrating renewable energy resources","authors":"E. Karimi, Mehrdad Kazerani","doi":"10.1109/CCECE.2017.7946739","DOIUrl":"https://doi.org/10.1109/CCECE.2017.7946739","url":null,"abstract":"This paper investigates the impact of demand response (DR) management on improving the social welfare of remote communities by integrating renewable energy (RE) resources into their diesel generator-based isolated microgrids. A multiple-year planning optimization problem is developed to determine the optimal combination of RE resources and energy storage system (ESS) while considering demand response. Demand response is implemented as a means to reschedule a fraction of total daily load to another time in a 24-hour time window. The results confirm that DR helps to improve the total social welfare by maximizing the use of RE resources. It also helps to reduce the need for ESS which is often considered a costly solution for such applications.","PeriodicalId":238720,"journal":{"name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125855694","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":"Asymmetric FIR filter design using evolutionary optimization","authors":"H. Kwan","doi":"10.1109/CCECE.2017.7946801","DOIUrl":"https://doi.org/10.1109/CCECE.2017.7946801","url":null,"abstract":"This paper presents general finite impulse response (FIR) digital filter design with asymmetric coefficients to approximate passband and stopband magnitude responses and constant passband group delay specifications using an evolutionary optimization algorithm called the Interactive Self Learning Algorithm (ISLA). Lowpass and bandpass digital filters are chosen and their design results are shown to demonstrate the effectiveness of the approach. Results indicate that passband and stopband peak magnitude errors and passband peak group delay error can be designed to approximate given specifications.","PeriodicalId":238720,"journal":{"name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115541613","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":"Impact of renewable energy deployment in Canada's remote communities on diesel generation carbon footprint reduction","authors":"E. Karimi, Mehrdad Kazerani","doi":"10.1109/CCECE.2017.7946740","DOIUrl":"https://doi.org/10.1109/CCECE.2017.7946740","url":null,"abstract":"This paper investigates the impact of incorporation of renewable energy (RE) resources on diesel generation carbon footprint reduction in Canada's remote communities. A multiple-year planning optimization problem is adopted to study the feasibility of integration of RE and energy storage system (ESS) in isolated microgrids of remote communities and to verify the economic and environmental benefits of RE integration on those communities. A case study is presented to demonstrate the effect of introducing renewable energy alternatives on greenhouse gas (GHG) emission reduction in Kasabonika Lake First Nation (KLFN) remote community in Northern Ontario, Canada.","PeriodicalId":238720,"journal":{"name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116166698","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":"A reliability-aware framework for service-based software development","authors":"I. Andrusiak, Q. Mahmoud","doi":"10.1109/CCECE.2017.7946844","DOIUrl":"https://doi.org/10.1109/CCECE.2017.7946844","url":null,"abstract":"It is becoming more common to see software applications taking advantage of the many RESTful web services available publicly to meet their needs rather than developing an in-house solution. This introduces the problem where failures can occur in the network or on the service provider outside the influence of a developer. This paper introduces a reliability-aware framework with a focus on availability which applies concepts from a recovery block scheme to services provided publicly by different developers. The proposed framework allows developers to specify alternative services which meet the core specifications of their desired primary service. When a failure is determined to have occurred, the request to the primary service is mapped to an alternative service to complete the operation. A prototype implementation has been developed as a proof of concept of the design which has been evaluated on metrics based on potential use cases. The experimental results show that the system is successful at providing availability when failure occurs at a cost to overall performance.","PeriodicalId":238720,"journal":{"name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114455493","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":"Design considerations in development of wireless brain-implantable microsystems","authors":"Hossein Kassiri","doi":"10.1109/CCECE.2017.7946824","DOIUrl":"https://doi.org/10.1109/CCECE.2017.7946824","url":null,"abstract":"Today, implantable medical devices play an increasingly important role in improving quality of life for millions of people suffering from brain neurological disorders. In this work, we will review various circuit- and system-level considerations and trade-offs that must be taken into account in design of such systems in order to achieve high-resolution real-time brain electro-physiological activity monitoring, low-latency low-power digital signal processing, and highly-efficient electrical stimulation.","PeriodicalId":238720,"journal":{"name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121988561","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":"Application of ensemble classification method for power transformers condition assessment","authors":"A. Othman, M. Tahir, R. Shatshat, K. Shaban","doi":"10.1109/CCECE.2017.7946774","DOIUrl":"https://doi.org/10.1109/CCECE.2017.7946774","url":null,"abstract":"The increase in the amount of data acquired from the monitoring of power system components has motivated utilities to employ effective strategies for processing the information collected. Hence, salient features can be identified and efficient decisions is made. An important component of any power system is power transformers, which have the single highest value of the equipment installed in high-voltage substations. For this reason, significant attention has been devoted to transformer monitoring and diagnostic techniques, resulting in huge volumes of raw data, especially related to the detection of any abnormal transformer behavior. The application of many monitoring tests is therefore not always useful, creating a critical need for a rational method of minimizing the number of monitoring tests without losing essential information about the actual condition of the transformer. This paper presents a statistical approach for evaluating the state of the transformer using machine learning technique. Demonstration of the use of classifier ensemble to predict transformer condition was also made.","PeriodicalId":238720,"journal":{"name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128513473","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":"PAPR reduction in OFDM systems using clipping based on symbol statistics","authors":"Moftah Ali, R. Rao, V. Parsa","doi":"10.1109/CCECE.2017.7946742","DOIUrl":"https://doi.org/10.1109/CCECE.2017.7946742","url":null,"abstract":"A method for Peak-to-Average Power Ratio (PAPR) reduction in an OFDM system is presented using clipping based on the statistics of a large number of OFDM symbols. The clipping technique uses scaled values of standard deviations of real and imaginary parts of complex discrete samples of OFDM symbols. The trade-off between PAPR and BER for this clipping technique is examined, using extensive numerical simulations, as a function of clipping level aσR/I for 0 < σR/I < 4, where σR/I denotes the standard deviations of real and imaginary parts of QPSK mapped OFDM symbol samples. It is noted that the clipping technique provides smooth control of PAPR reduction as function of the clipping level.","PeriodicalId":238720,"journal":{"name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128690910","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":"Robust adaptive beamforming using convex optimization","authors":"A. A. Khan, Z. Ali","doi":"10.1109/CCECE.2017.7946621","DOIUrl":"https://doi.org/10.1109/CCECE.2017.7946621","url":null,"abstract":"This paper compares the performance of various beamforming techniques using convex optimization. A new robust beamforming technique is formulated, and its performance is compared with the diagonal loading, robust SOCP techniques and the standard sample matrix inversion technique in different scenarios. The robustness of the proposed technique to errors in the array steering vector is demonstrated using simulations in MATLAB.","PeriodicalId":238720,"journal":{"name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128988842","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}