{"title":"Feasibility study of transmutation of minor actinides in PWR fuel assembly","authors":"Mudasir Hussain, M. Sohail","doi":"10.1109/ICET.2016.7813278","DOIUrl":"https://doi.org/10.1109/ICET.2016.7813278","url":null,"abstract":"Majority of fission power reactors in the world are pressurized water reactor (PWR) type. Burning UO2 fuel in PWR produces long lived radioactive isotopes like minor actinides. The characteristics of minor actinide transmutation in specific PWR fuel assembly are studied. The feasibility of using minor actinides as burnable absorber for transmutation and reactivity compensation is studied. The fuel assemblies with conventional burnable absorber rods are replaced with minor actinides rods. Selected assemblies are burnt for 720 full power days, having same initial reactivity for both burnable poison and minor actinide cases. The calculated results indicated that the assemblies with minor actinides yield less cycle length as compared to assembly with conventional burnable poison rods. However a significant transmutation of minor actinides reduces the radiotoxicity of spent fuel to considerable magnitude.","PeriodicalId":285090,"journal":{"name":"2016 International Conference on Emerging Technologies (ICET)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132779687","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 and development of a Marx generator based 40kV pulsed power supply for non-lethal electric fence","authors":"M. Minhas, R. Iqbal, F. Munir, Tanveer Abbas","doi":"10.1109/ICET.2016.7813254","DOIUrl":"https://doi.org/10.1109/ICET.2016.7813254","url":null,"abstract":"A non-lethal electric fence is an effective tool for security. Non-lethal electric fence employs high voltage (several tens of kV) pulses of short (micro-seconds) duration at rate of few pulses per second. Moreover the electric current and energy transferred to the load is controlled below certain limits to ensure non-lethal and non-injurious features. Fence energizer, which is essentially a high voltage pulsed power supply (HVPPS), is the pivotal part of the fence system. Among different HVPPS schemes, Marx generator is superior being reliable and energy efficient. However, it was never used for low power applications such as electric fencing. This work investigates potential of Marx generator in low power applications in general and as energizer for a non-lethal electric fence in particular. Specifically, a Marx generator is designed and implemented for a 40kV electric fence. Other design parameters include 220V ac input, output pulse duration of 1μs-15μs, repetition rate of up to 100 pulses per second, stored energy of 80J and release of energy less than 20mJ per pulse. A complete design is presented here for these specifications with validation in simulation. The design is then implemented using semiconductor switches and electrolytic capacitors for 100 stages of Marx voltage multiplier. The implemented system is tested through air-breakdown test and output pulse is measured through a capacitive voltage divider.","PeriodicalId":285090,"journal":{"name":"2016 International Conference on Emerging Technologies (ICET)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121872701","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 review on future power systems; technologies and research for smart grids","authors":"M. Sarwar, B. Asad","doi":"10.1109/ICET.2016.7813247","DOIUrl":"https://doi.org/10.1109/ICET.2016.7813247","url":null,"abstract":"A modernized grid equipped with bidirectional power flow capability, inter-device communication, cyber and physical protection, autonomous fault detection, self-healing and integration of green energy resources to enhance energy efficiency, quality, reliability and system security is regarded as Smart Grid. Revitalizing the existing power system through a paradigm shift from a traditional power system toward the Smart Grid is inevitable. The objective of this paper is to present a technological review of the research being carried out on various domains of smart grid. We explore different technologies required to meet the smart grid revolution. Information and communication technologies necessary for smart grid development are discussed with reference to latest research in the field. We further explore economic and environmental benefits of smart grid and different communicative and computational subsystems as the part of complex smart grid. We present a theoretical model of smart grid vision which integrates different components, systems and networks to evolve into emerging smart grid. This paper presents a brief literature review and points out various research gaps that needs to be fulfilled in our stride for reinventing the electric power system.","PeriodicalId":285090,"journal":{"name":"2016 International Conference on Emerging Technologies (ICET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125863387","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}
Z. Islam, Muhibur Rahman, Niaz Muhammad, Zeeshan Ahmed, F. K. Lodhi, Muhammad Haneef
{"title":"Dual band second order modified Sierpinski monopole reduced size fractal antenna","authors":"Z. Islam, Muhibur Rahman, Niaz Muhammad, Zeeshan Ahmed, F. K. Lodhi, Muhammad Haneef","doi":"10.1109/ICET.2016.7813244","DOIUrl":"https://doi.org/10.1109/ICET.2016.7813244","url":null,"abstract":"This paper presents modified Sierpinski monopole fractal antenna for dual band applications. Considerable size reduction upto 53.5% in terms of the overall size of the antenna and 74.24% in terms of the copper remaining is achieved in comparison to the conventional triangular monopole antenna. The fractalization is done upto second order for radiation of the fractal antenna in two frequency bands. The antenna is simulated, modeled and optimized in HFSS and CST. For the optimization of the proposed structure in the desired bands the parametric analysis is done for different dimensions of the fractal antenna. Fabricated prototype is developed and measured results are presented along with the simulated ones.","PeriodicalId":285090,"journal":{"name":"2016 International Conference on Emerging Technologies (ICET)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128059185","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 QR decomposition based RLS algorithm with forgetting factor for adaptation of AR EEG features","authors":"Hira Iqbal, M. Aqil","doi":"10.1109/ICET.2016.7813250","DOIUrl":"https://doi.org/10.1109/ICET.2016.7813250","url":null,"abstract":"Electroencephalography (EEG) is an effective modality being used to develop brain computer interface (BCI) systems, but the EEG signal is predominantly marked with low signal-to-noise ratio. Thus, extracting information of interest from EEG data becomes quite a challenging task. Brain activity is usually modeled as an adaptive autoregressive (AAR) model and various adaptive algorithms are implemented to obtain its parameters. Here, QR decomposition based recursive least squares (QR-RLS) algorithm with forgetting factor is derived for AAR parameter estimation and realized to track the EEG features with numerical stability. EEG features from motor imagery datasets are extracted by the proposed method and classified with Linear Discriminate Analysis. For further validation, a comparative analysis is obtained between the presented methodology and already existing EEG processing methods, i.e., Least Mean Squares, RLS and conventional QR-RLS. Results indicate that EEG features extracted from the proposed algorithm provide better classification accuracy than other adaptive algorithms. Thus, promising towards development of reliable and proficient brain computer interface systems.","PeriodicalId":285090,"journal":{"name":"2016 International Conference on Emerging Technologies (ICET)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130469995","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. Tahir, Ayyaz Hussain, S. Badshah, Abdul Qayyum Khan, N. Iqbal
{"title":"Classification of unbalance and misalignment faults in rotor using multi-axis time domain features","authors":"M. Tahir, Ayyaz Hussain, S. Badshah, Abdul Qayyum Khan, N. Iqbal","doi":"10.1109/ICET.2016.7813273","DOIUrl":"https://doi.org/10.1109/ICET.2016.7813273","url":null,"abstract":"Early and accurate detection of rotor faults is crucial for optimal performance of rotating machinery. Unbalance and misalignment are the most common faults occurring in the machinery. Using vibration-based conventional frequency analysis methods, it is often difficult to identify these faults because they exhibit similar frequency patterns. The balancing procedure of an unbalanced rotor is based on attachment or removal of certain amount of weight to or from a particular location of the rotor. The rotor may causes additional problems in machinery, if such treatment is applied to correct misalignment faults. Therefore, accurate diagnosis of these faults is extremely important prior to corrective action. This paper utilizes radial and axial vibrations for the purpose. Sensitivity of statistical time domain features, extracted from these multi-axis vibration signals, is investigated. Every pair of alike features is then further processed to maintain the length of feature vector for efficient data processing. Support vector machine (SVM) is used to determine the effectiveness of proposed method, and 100% accuracy is obtained for the problem at hand.","PeriodicalId":285090,"journal":{"name":"2016 International Conference on Emerging Technologies (ICET)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132618559","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":"Distributed power mismatch estimation in smart grid","authors":"Shah Faisal, Salman Ahmed, Salim ur Rehman","doi":"10.1109/ICET.2016.7813280","DOIUrl":"https://doi.org/10.1109/ICET.2016.7813280","url":null,"abstract":"Computation of power mismatch between power demand and generation is one of the meaningful issue in smart grid. Power mismatch occurs due to various factors but some of the important factors are change in load, transmission losses and generator dynamics. Traditionally, power mismatch is computed in a central control room, which has its own advantages and disadvantages. This paper proposes an algorithm to estimate the power mismatch in smart grid in a fully distributed fashion. The proposed algorithm overcomes the limitations which can occur in a centralized system. In the proposed algorithm, each generation unit and consumer estimates the full power generation, the consumers entire load and the power mismatch in the smart grid. Simulation results prove that the suggested algorithm is efficient.","PeriodicalId":285090,"journal":{"name":"2016 International Conference on Emerging Technologies (ICET)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122125080","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. Nawaz, Syed Irtiza Ali Shah, Asad Ali, Anam Riaz
{"title":"Determination of directional stability using torsional pendulum concept for preliminary design of aerospace vehicles","authors":"M. Nawaz, Syed Irtiza Ali Shah, Asad Ali, Anam Riaz","doi":"10.1109/ICET.2016.7813231","DOIUrl":"https://doi.org/10.1109/ICET.2016.7813231","url":null,"abstract":"Static and dynamic directional stabilities are important features of an aircraft in design phase and to study transient response characteristics. Torsional pendulum, used to measure moment of inertia, has been employed to determine the method of finding directional stability of an aircraft because of a relation between moment of inertia and directional stability. Mathematical relation for moment of inertia using torsional pendulum and constrained yawing motion has been formulated and directional (dynamic) stability characteristics of scale down model have been experimentally determined by mounting the model in wind tunnel. The results obtained have been compared with theoretical ones, and are found to be in agreement. Hence Torsional pendulum concept has been used to accurately determine directional (dynamic) stability characteristics under various flight conditions. The Torsional pendulum has also been employed for the proper distribution of mass on aircraft so that (static) stability characteristics can be optimized. Moreover, it can be used to experimentally determine the mass moment of inertia of an aircraft to confirm the values calculated as it is one of the most accurate methods for experimental determination of moment of inertia. For this purpose, an aircraft body is integrated into a vibratory system such as a pendulum. This method of determining directional stability using a simple torsional pendulum concept helps in the correct prediction of aircraft yawing moment under various conditions, especially under cross wind conditions by making a suitable scale down model (PREMILINARY DESIGN), and then testing it in the wind tunnel.","PeriodicalId":285090,"journal":{"name":"2016 International Conference on Emerging Technologies (ICET)","volume":"435 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123377428","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":"Churn comprehension analysis for telecommunication industry using ALBA","authors":"Sajjad Jamil, Asifullah Khan","doi":"10.1109/ICET.2016.7813259","DOIUrl":"https://doi.org/10.1109/ICET.2016.7813259","url":null,"abstract":"Customer churn analysis is getting immense attention from the business community, especially in the telecommunication sector, to help in generating more revenue. This raises the need for modeling a churn prediction system that is not only accurate but also encompasses comprehensibility and justifiability. Also the judgment ability of the domain expert to identify the drivers of churn and determine a correlation between those drivers plays a very important role. For the stakeholder or businessman, it is very important to predict the main drivers of churn to increase the profit. In this paper, we use a technique called Active Learning Based Approach (ALBA), with two rule induction methods, Decision Tree and Ripper to develop a churn prediction model that is not only accurate but also yields comprehensibility and justifiability. ALBA is a rule extraction technique based on a flavor of Support Vector Machine (SVM) called Active Learning. Basically, this approach is used as instance generator. Using this approach, we first remove noise from the data by replacing the SVM predicted labels with the original labels and secondly, we generate artificial instances in the noisy area near support vectors. These newly generated instances are not class-wise balanced. For this purpose, we use SMOTE to make them balanced.","PeriodicalId":285090,"journal":{"name":"2016 International Conference on Emerging Technologies (ICET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125514112","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 of a novel gate driver circuit for a Marx generator based 40kV electric fence energizer","authors":"F. Munir, R. Iqbal, M. Minhas, Tanveer Abbas","doi":"10.1109/ICET.2016.7813275","DOIUrl":"https://doi.org/10.1109/ICET.2016.7813275","url":null,"abstract":"Marx generator is a High Voltage Pulsed Power Supply (HVPPS) technique that consists of switches and capacitors. This paper considers design of a Marx generator consisting of 100 stages for a 40kV non-lethal electric fence. The gate drivers for the employed semiconductor switches have to meet the requirements of synchronized switching and high voltage isolation up to 40kV. Gate driver schemes generally used for Marx generators employ optocouplers and pulse transformers. To meet the requirements, these schemes result in costly, bulky and complex circuits when implemented for a large number of stages of a Marx generator making it an unattractive choice for low power applications (such as an electric fence) despite its many superior features over other HVPPS schemes. Electric fence application has an additional requirement of controlled release of energy to the output to ensure non-lethal behavior. Therefore, a novel gate driver design is presented here which is compact, economical and also ensures control over output energy, hence making Marx generator an attractive design option for electric fence applications. The proposed novel gate drivers were simulated and implemented in hardware for 100 stages to generate 40kV pulses of 15μs at repetition rate of 100Hz with each pulse delivering up to 18mJ energy. The reliability of the systems was tested for a successful continuous run of 10 hours.","PeriodicalId":285090,"journal":{"name":"2016 International Conference on Emerging Technologies (ICET)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116463644","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}