Pub Date : 2019-01-01DOI: 10.1109/IBCAST.2019.8667238
W. A. Malik, W. M. Abdulkawi, A. A. Sheta, Naif F. Alzakari
The design of a wideband 6 Watts LDMOS based balanced power amplifier (PA) is presented. The proposed balanced PA covers a frequency band of 500 MHz (1.2-1.7 GHz) with 1.5 GHz as a center frequency. The single ended PA achieves a gain of 10.9 dB. The T-network topology is adopted to design the input and output matching circuits. The PA is fabricated on FR4 with 1.5 mm thickness. The measured results show a very good agreement with the simulated results. The balanced PA is formed by duplicating the single PA along with the quadrature coupler at its input and output to split and combine the signals respectively. The performance of the balanced PA makes it suitable to be incorporated in any recent and future wireless communication systems.
{"title":"A 6 Watts LDMOS Wideband Balanced Power Amplifier","authors":"W. A. Malik, W. M. Abdulkawi, A. A. Sheta, Naif F. Alzakari","doi":"10.1109/IBCAST.2019.8667238","DOIUrl":"https://doi.org/10.1109/IBCAST.2019.8667238","url":null,"abstract":"The design of a wideband 6 Watts LDMOS based balanced power amplifier (PA) is presented. The proposed balanced PA covers a frequency band of 500 MHz (1.2-1.7 GHz) with 1.5 GHz as a center frequency. The single ended PA achieves a gain of 10.9 dB. The T-network topology is adopted to design the input and output matching circuits. The PA is fabricated on FR4 with 1.5 mm thickness. The measured results show a very good agreement with the simulated results. The balanced PA is formed by duplicating the single PA along with the quadrature coupler at its input and output to split and combine the signals respectively. The performance of the balanced PA makes it suitable to be incorporated in any recent and future wireless communication systems.","PeriodicalId":335329,"journal":{"name":"2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131987543","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}
Pub Date : 2019-01-01DOI: 10.1109/IBCAST.2019.8667179
S. Abbas, A. Hassan, M. Mansoor
Gas turbine engine test bed is a facility for ground testing of engines before installation in aircraft. Field test beds generally lack engine thrust measurement capability. A thrust measurement system for such an engine test bed has been designed using strain gauges keeping in view the limitation of major structural modifications. This technique does not require any structural modifications in the test bed hence making it easy and simple to apply. Strain measured with the help of half bridge strain gauge configuration is converted into stress. The stress is then converted into load on the test bed structure which is in fact the thrust force produced by the engine. Data from strain gauges is acquired using Arduino and results are validated analytically. This paper discusses the complete procedure of applying strain gauges on test bed and data acquisition of these gauges. It also includes the method of data acquisition of strain gauges through Arduino which is extremely cost effective as compared to other commercially available options.
{"title":"Design of Thrust Measurement System on Test Beds of a Gas Turbine Engine Using Strain Gauges","authors":"S. Abbas, A. Hassan, M. Mansoor","doi":"10.1109/IBCAST.2019.8667179","DOIUrl":"https://doi.org/10.1109/IBCAST.2019.8667179","url":null,"abstract":"Gas turbine engine test bed is a facility for ground testing of engines before installation in aircraft. Field test beds generally lack engine thrust measurement capability. A thrust measurement system for such an engine test bed has been designed using strain gauges keeping in view the limitation of major structural modifications. This technique does not require any structural modifications in the test bed hence making it easy and simple to apply. Strain measured with the help of half bridge strain gauge configuration is converted into stress. The stress is then converted into load on the test bed structure which is in fact the thrust force produced by the engine. Data from strain gauges is acquired using Arduino and results are validated analytically. This paper discusses the complete procedure of applying strain gauges on test bed and data acquisition of these gauges. It also includes the method of data acquisition of strain gauges through Arduino which is extremely cost effective as compared to other commercially available options.","PeriodicalId":335329,"journal":{"name":"2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120952872","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}
Pub Date : 2019-01-01DOI: 10.1109/IBCAST.2019.8667270
R. Anwar, H. Ning, Jun Wang
A wideband miniaturized frequency selective surface (FSS) is proposed at Ka-band. Passband FSSs have largely been studied in recent years however, still higher periodicity, high profile (due to the thicker substrate) and less bandwidth are the most common issues. In this paper, we investigate a novel miniaturized FSS consisting of two metallic layers, separated by a thin dielectric substrate that works as a spatial version of a single passband microwave filter. Patch layer is slotted to increase the capacitance whereas the ground layer has a cross loop aperture for better coupling. Numerical simulations demonstrate that proposed design exhibits a passband resonating at 28.7 GHz with 3dB bandwidth of 8.19GHz from 26.11 to 34.3GHz at normal incidence angle. Since the geometry is symmetric with minuscule array size, proposed FSS structure shows stability for both polarizations and with higher incidence angles (up to 30°).
{"title":"A Miniaturized Polarization Insensitive Frequency Selective Surface at Ka-band","authors":"R. Anwar, H. Ning, Jun Wang","doi":"10.1109/IBCAST.2019.8667270","DOIUrl":"https://doi.org/10.1109/IBCAST.2019.8667270","url":null,"abstract":"A wideband miniaturized frequency selective surface (FSS) is proposed at Ka-band. Passband FSSs have largely been studied in recent years however, still higher periodicity, high profile (due to the thicker substrate) and less bandwidth are the most common issues. In this paper, we investigate a novel miniaturized FSS consisting of two metallic layers, separated by a thin dielectric substrate that works as a spatial version of a single passband microwave filter. Patch layer is slotted to increase the capacitance whereas the ground layer has a cross loop aperture for better coupling. Numerical simulations demonstrate that proposed design exhibits a passband resonating at 28.7 GHz with 3dB bandwidth of 8.19GHz from 26.11 to 34.3GHz at normal incidence angle. Since the geometry is symmetric with minuscule array size, proposed FSS structure shows stability for both polarizations and with higher incidence angles (up to 30°).","PeriodicalId":335329,"journal":{"name":"2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121840567","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}
Pub Date : 2019-01-01DOI: 10.1109/IBCAST.2019.8667194
Z. Misbah, Lubaba tul Uzma, Kanwal Shaheen, Tehreem Tanveer, Sadia Anjum
Background: Hepatitis C is a serious disease caused by infection of HCV virus. This virus mainly infects hepatocytes but it also replicates in the other tissues of human body, causing different types of extrahepatic manifestations.Methods: We conducted a case-control study from March 2014 to June 2014, to investigate frequency of skin diseases among 75 HCV infected patients and 75 controls identified in NOORI hospital, Islamabad Pakistan. We also investigated the association of skin diseases with HCV infection. Case patients were confirmed symptomatic cases of hepatitis C infection with laboratory and clinical criteria meeting standards provided by CDC. Controls were selected as the people without HCV, HBV, HIV and other chronic diseases. Data regarding sociodemographic characteristics, clinical data and skin diseases was collected using structured performa. Chi square test was used to see association.Results: The prevalence of skin diseases in cases were 33.3% (25/75). Most common skin diseases among HCV patients was Pruritus (32%) followed by Psoriasis (12%). Case-patients were more likely than controls to have skin diseases (OR=4.85, CI 1.95-12.12).Conclusion: Our study indicates high prevalence of skin diseases in HCV infected patients. It also showed clear association of skin diseases with HCV infection. We recommend studies on large scale to have a better look on these skin complications and use of these Skin diseases as prognostic indication of HCV infection.
背景:丙型肝炎是由HCV病毒感染引起的一种严重疾病。该病毒主要感染肝细胞，但也在人体其他组织中复制，引起不同类型的肝外表现。方法:2014年3月至2014年6月，对巴基斯坦伊斯兰堡NOORI医院的75例HCV感染患者和75例对照者进行皮肤病发病率调查。我们还调查了皮肤疾病与HCV感染的关系。病例均为确诊的有症状的丙型肝炎感染病例，实验室和临床指标均符合CDC提供的标准。对照组为无HCV、HBV、HIV等慢性疾病的人群。有关社会人口学特征、临床数据和皮肤疾病的数据采用结构化的方式收集。采用卡方检验观察相关性。结果:本组病例皮肤病患病率为33.3%(25/75)。HCV患者中最常见的皮肤病是瘙痒症(32%)，其次是牛皮癣(12%)。病例-患者比对照组更容易患皮肤病(OR=4.85, CI 1.95-12.12)。结论:我们的研究表明HCV感染患者中皮肤病的患病率较高。皮肤疾病与丙型肝炎病毒感染有明显的相关性。我们建议进行大规模的研究，以更好地了解这些皮肤并发症，并将这些皮肤疾病作为HCV感染的预后指征。
{"title":"Prevalence of Skin diseases among Hepatitis C virus infected patients and their association with HCV infection in Islamabad, Pakistan","authors":"Z. Misbah, Lubaba tul Uzma, Kanwal Shaheen, Tehreem Tanveer, Sadia Anjum","doi":"10.1109/IBCAST.2019.8667194","DOIUrl":"https://doi.org/10.1109/IBCAST.2019.8667194","url":null,"abstract":"Background: Hepatitis C is a serious disease caused by infection of HCV virus. This virus mainly infects hepatocytes but it also replicates in the other tissues of human body, causing different types of extrahepatic manifestations.Methods: We conducted a case-control study from March 2014 to June 2014, to investigate frequency of skin diseases among 75 HCV infected patients and 75 controls identified in NOORI hospital, Islamabad Pakistan. We also investigated the association of skin diseases with HCV infection. Case patients were confirmed symptomatic cases of hepatitis C infection with laboratory and clinical criteria meeting standards provided by CDC. Controls were selected as the people without HCV, HBV, HIV and other chronic diseases. Data regarding sociodemographic characteristics, clinical data and skin diseases was collected using structured performa. Chi square test was used to see association.Results: The prevalence of skin diseases in cases were 33.3% (25/75). Most common skin diseases among HCV patients was Pruritus (32%) followed by Psoriasis (12%). Case-patients were more likely than controls to have skin diseases (OR=4.85, CI 1.95-12.12).Conclusion: Our study indicates high prevalence of skin diseases in HCV infected patients. It also showed clear association of skin diseases with HCV infection. We recommend studies on large scale to have a better look on these skin complications and use of these Skin diseases as prognostic indication of HCV infection.","PeriodicalId":335329,"journal":{"name":"2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123602617","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}
Pub Date : 2019-01-01DOI: 10.1109/IBCAST.2019.8667214
Raiha Tallat, Rana M. Amir Latif, Ghazanfar Ali, Ahmad Nawaz Zaheer, Muhammad Farhan, Syed Umair Aslam Shah
The importance of graph analytics cannot be undermined. It has always been a question for the researcher that how to deal with dense graphs. The visual graph analytics is one of the best sources for creating its remarkable, distinct impact in the field of data science. The graph analytics and big data has fascinated a wide range of attention from the researchers and scientist from all over the world. By using the most advanced tools for the graph, the analytics can lead most useful and productive results in various domains which include life sciences, business, computer sciences, engineering and so on. Biological data can be represented in interpretable form when exposed to graph analytic tools, which may lead to meaningful insights. This paper is aimed at the visualization of the graph with two different techniques. Various procedures were used in this research such as the collection of datasets from heterogeneous biological data sources, data integration, and formation of the new dataset (MYBIOGRID). Designing queries in Neo4j using Cypher Query Language to visualize MYBIOGRID and to determine the relationship using the property graph model. In the next step the uploading data to CIRCOS is performed and visualization of motif similarity is done. The result from this study indicates that visualization of similarity matrix of repetitive patterns thus representing the most similar and least similar patterns in the sequence. Graph databases play a vital role in graph analytics but in memory storage makes analysis very time consuming if the massive amount of data sets is to be processed. Each tool has its specific parameters, which make it a good candidate for analysis and comparison.
{"title":"Visualization and Analytics of Biological Data by Using Different Tools and Techniques","authors":"Raiha Tallat, Rana M. Amir Latif, Ghazanfar Ali, Ahmad Nawaz Zaheer, Muhammad Farhan, Syed Umair Aslam Shah","doi":"10.1109/IBCAST.2019.8667214","DOIUrl":"https://doi.org/10.1109/IBCAST.2019.8667214","url":null,"abstract":"The importance of graph analytics cannot be undermined. It has always been a question for the researcher that how to deal with dense graphs. The visual graph analytics is one of the best sources for creating its remarkable, distinct impact in the field of data science. The graph analytics and big data has fascinated a wide range of attention from the researchers and scientist from all over the world. By using the most advanced tools for the graph, the analytics can lead most useful and productive results in various domains which include life sciences, business, computer sciences, engineering and so on. Biological data can be represented in interpretable form when exposed to graph analytic tools, which may lead to meaningful insights. This paper is aimed at the visualization of the graph with two different techniques. Various procedures were used in this research such as the collection of datasets from heterogeneous biological data sources, data integration, and formation of the new dataset (MYBIOGRID). Designing queries in Neo4j using Cypher Query Language to visualize MYBIOGRID and to determine the relationship using the property graph model. In the next step the uploading data to CIRCOS is performed and visualization of motif similarity is done. The result from this study indicates that visualization of similarity matrix of repetitive patterns thus representing the most similar and least similar patterns in the sequence. Graph databases play a vital role in graph analytics but in memory storage makes analysis very time consuming if the massive amount of data sets is to be processed. Each tool has its specific parameters, which make it a good candidate for analysis and comparison.","PeriodicalId":335329,"journal":{"name":"2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123766490","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}
Pub Date : 2019-01-01DOI: 10.1109/IBCAST.2019.8667122
Syed Saadat Shakeel, Khurram Abbas, I. Shafi
This paper attempts to give an efficient designing approach for an affordable, environment friendly human powered vehicle that serves the purpose of exercising along with being a commuter vehicle using finite element analysis. The proposed design is an aerodynamically enclosed trike which makes it more efficient and less drag prone than a regular bicycle. Along with pedaling power it is assisted by an electric motor, powered by a rechargeable battery. The frame is designed using commercially available software and its structural rigidity is ensured using finite element analysis. The individual components are designed sequentially and combined to create the complete assembly. Later, electric motor calculations are also carried out to estimate power required for driving the vehicle. Coefficient of drag is calculated, using 2-D computational fluid dynamics techniques (CFD), for both faired and un-faired configurations of trike and then values are compared. Furthermore, total drag force is determined for the faired trike in a high wind simulation. Calculations are then carried out to ensure that the recommended motor is sufficiently powered to propel the vehicle even in adverse high wind conditions. The experimental results demonstrate the effectiveness of the design
{"title":"Designing Efficient Commuter Vehicle using Finite Element Analysis And Computational Fluid Dynamics","authors":"Syed Saadat Shakeel, Khurram Abbas, I. Shafi","doi":"10.1109/IBCAST.2019.8667122","DOIUrl":"https://doi.org/10.1109/IBCAST.2019.8667122","url":null,"abstract":"This paper attempts to give an efficient designing approach for an affordable, environment friendly human powered vehicle that serves the purpose of exercising along with being a commuter vehicle using finite element analysis. The proposed design is an aerodynamically enclosed trike which makes it more efficient and less drag prone than a regular bicycle. Along with pedaling power it is assisted by an electric motor, powered by a rechargeable battery. The frame is designed using commercially available software and its structural rigidity is ensured using finite element analysis. The individual components are designed sequentially and combined to create the complete assembly. Later, electric motor calculations are also carried out to estimate power required for driving the vehicle. Coefficient of drag is calculated, using 2-D computational fluid dynamics techniques (CFD), for both faired and un-faired configurations of trike and then values are compared. Furthermore, total drag force is determined for the faired trike in a high wind simulation. Calculations are then carried out to ensure that the recommended motor is sufficiently powered to propel the vehicle even in adverse high wind conditions. The experimental results demonstrate the effectiveness of the design","PeriodicalId":335329,"journal":{"name":"2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129869748","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}
Pub Date : 2019-01-01DOI: 10.1109/IBCAST.2019.8667215
Syeda Eima Iftikhar Gardezi, F. Aziz, Sadaf Javed, Ch. Jabbar Younis, Mehboob Alam, Y. Massoud
In the past two decades, wavelet method has emerged as a powerful signal and data analysis tool for scientist and engineers. It is often part of a low-power system for real time application and needs efficient hardware implementation. In this paper, we have designed and VLSI (Very Large-Scale In-tegration) implemented a lossless 5/3 Discrete Wavelet Transform (DWT) using the Canonical Signed Digit (CSD) based Distributed Arithmetic (DA) architecture. The combination of CSD and DA exploits prior knowledge of the filter co-efficients and uses the least number of adders and shift registers, to achieve hardware-efficient implementation. The filter-based implementation exploits data path diagram of CSD represented coefficients and selectively finds sum of products to give minimum realization. The proposed CSD based DA architecture is modeled using HDL (Hardware Description Language) and implemented on Altera DE-1 Cyclon-II FPGA (Field Programmable Gate Array). A comparison with filter-based architecture of 5/3 DWT reveals a saving up to 50% in hardware. The designed solution is hardware efficient and uses only 7 adders to provide low-power architecture for high-speed real-time applications.
{"title":"Design and VLSI Implementation of CSD based DA Architecture for 5/3 DWT","authors":"Syeda Eima Iftikhar Gardezi, F. Aziz, Sadaf Javed, Ch. Jabbar Younis, Mehboob Alam, Y. Massoud","doi":"10.1109/IBCAST.2019.8667215","DOIUrl":"https://doi.org/10.1109/IBCAST.2019.8667215","url":null,"abstract":"In the past two decades, wavelet method has emerged as a powerful signal and data analysis tool for scientist and engineers. It is often part of a low-power system for real time application and needs efficient hardware implementation. In this paper, we have designed and VLSI (Very Large-Scale In-tegration) implemented a lossless 5/3 Discrete Wavelet Transform (DWT) using the Canonical Signed Digit (CSD) based Distributed Arithmetic (DA) architecture. The combination of CSD and DA exploits prior knowledge of the filter co-efficients and uses the least number of adders and shift registers, to achieve hardware-efficient implementation. The filter-based implementation exploits data path diagram of CSD represented coefficients and selectively finds sum of products to give minimum realization. The proposed CSD based DA architecture is modeled using HDL (Hardware Description Language) and implemented on Altera DE-1 Cyclon-II FPGA (Field Programmable Gate Array). A comparison with filter-based architecture of 5/3 DWT reveals a saving up to 50% in hardware. The designed solution is hardware efficient and uses only 7 adders to provide low-power architecture for high-speed real-time applications.","PeriodicalId":335329,"journal":{"name":"2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130946629","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}
Pub Date : 2019-01-01DOI: 10.1109/IBCAST.2019.8667254
Imranullah Khan, Zeeshan Babar, Muhammad Muzzammil, Gang Qiao
High operational complexity and computational time degrades the performance of already existing Amplify-and-Forward (AF) based two time slots algorithms in the literature, used for cooperative networks, and has several issues related to bit error rate, computation time etc. Consequently, the Operational Complexity Reduction Algorithm (OCRA) for single relay cooperative network has been proposed. The error probability of bits received is derived using the harmonic and geometric means, initial value theorem, and probability density function at zero. Moreover, the proposed algorithm is evaluated with the previous proposed algorithm. The OCRA demonstrated low Bit Error Rate (BER) and high BER-Gain values, with the increase in SNR values, at particular fading conditions. The proposed algorithm demonstrated less computational time and low operational complexity, as compared to previous proposed algorithm.
{"title":"The Operational Complexity Reduction Algorithm for Single Relay Wireless Cooperative Network","authors":"Imranullah Khan, Zeeshan Babar, Muhammad Muzzammil, Gang Qiao","doi":"10.1109/IBCAST.2019.8667254","DOIUrl":"https://doi.org/10.1109/IBCAST.2019.8667254","url":null,"abstract":"High operational complexity and computational time degrades the performance of already existing Amplify-and-Forward (AF) based two time slots algorithms in the literature, used for cooperative networks, and has several issues related to bit error rate, computation time etc. Consequently, the Operational Complexity Reduction Algorithm (OCRA) for single relay cooperative network has been proposed. The error probability of bits received is derived using the harmonic and geometric means, initial value theorem, and probability density function at zero. Moreover, the proposed algorithm is evaluated with the previous proposed algorithm. The OCRA demonstrated low Bit Error Rate (BER) and high BER-Gain values, with the increase in SNR values, at particular fading conditions. The proposed algorithm demonstrated less computational time and low operational complexity, as compared to previous proposed algorithm.","PeriodicalId":335329,"journal":{"name":"2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131098711","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}
Pub Date : 2019-01-01DOI: 10.1109/IBCAST.2019.8667136
Muhammad Ijaz, M. H. Durad, M. Ismail
Malware detection is an indispensable factor in security of internet oriented machines. The combinations of different features are used for dynamic malware analysis. The different combinations are generated from APIs, Summary Information, DLLs and Registry Keys Changed. Cuckoo sandbox is used for dynamic malware analysis, which is customizable, and provide good accuracy. More than 2300 features are extracted from dynamic analysis of malware and 92 features are extracted statically from binary malware using PEFILE. Static features are extracted from 39000 malicious binaries and 10000 benign files. Dynamically 800 benign files and 2200 malware files are analyzed in Cuckoo Sandbox and 2300 features are extracted. The accuracy of dynamic malware analysis is 94.64% while static analysis accuracy is 99.36%. The dynamic malware analysis is not effective due to tricky and intelligent behaviours of malwares. The dynamic analysis has some limitations due to controlled network behavior and it cannot be analyzed completely due to limited access of network.
{"title":"Static and Dynamic Malware Analysis Using Machine Learning","authors":"Muhammad Ijaz, M. H. Durad, M. Ismail","doi":"10.1109/IBCAST.2019.8667136","DOIUrl":"https://doi.org/10.1109/IBCAST.2019.8667136","url":null,"abstract":"Malware detection is an indispensable factor in security of internet oriented machines. The combinations of different features are used for dynamic malware analysis. The different combinations are generated from APIs, Summary Information, DLLs and Registry Keys Changed. Cuckoo sandbox is used for dynamic malware analysis, which is customizable, and provide good accuracy. More than 2300 features are extracted from dynamic analysis of malware and 92 features are extracted statically from binary malware using PEFILE. Static features are extracted from 39000 malicious binaries and 10000 benign files. Dynamically 800 benign files and 2200 malware files are analyzed in Cuckoo Sandbox and 2300 features are extracted. The accuracy of dynamic malware analysis is 94.64% while static analysis accuracy is 99.36%. The dynamic malware analysis is not effective due to tricky and intelligent behaviours of malwares. The dynamic analysis has some limitations due to controlled network behavior and it cannot be analyzed completely due to limited access of network.","PeriodicalId":335329,"journal":{"name":"2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130572002","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}
Pub Date : 2019-01-01DOI: 10.1109/IBCAST.2019.8667247
Zainab Akhtar, Adnan Nisar, M. T. Hamayun
Unmanned air vehicles (UAVs) have received tremendous importance because of their civil, military, industrial, agricultural and security etc. applications. As compared to terrestrial robots, UAVs have to face stronger aerodynamic as well as gravitational forces which effect the dynamics of these flying structures. The control and estimation of unavailable plant states in UAVs is a challenging task due to their nonlinear dynamics in the presence of external uncertainties like air load and noise effects. Practically, external aerodynamic disturbances and sensor noise can alter the desired performance of the aerial robots leading to instability and loss of control of UAVs. Information of all plant states is important for better control and navigation of UAVs. In this paper it is assumed that all plant states are not available, therefore, nonlinear observer design techniques are used to estimate unavailable states of quadrotor plant with least error. The designed nonlinear observer’s results are compared in simulations in the presence of external disturbance and sensor noise. Sliding mode observers implemented in this paper exhibit the property of finite time convergence of error dynamics both with and without disturbances and noise.
{"title":"Nonlinear Sliding Mode State Estimation Techniques for UAV Application","authors":"Zainab Akhtar, Adnan Nisar, M. T. Hamayun","doi":"10.1109/IBCAST.2019.8667247","DOIUrl":"https://doi.org/10.1109/IBCAST.2019.8667247","url":null,"abstract":"Unmanned air vehicles (UAVs) have received tremendous importance because of their civil, military, industrial, agricultural and security etc. applications. As compared to terrestrial robots, UAVs have to face stronger aerodynamic as well as gravitational forces which effect the dynamics of these flying structures. The control and estimation of unavailable plant states in UAVs is a challenging task due to their nonlinear dynamics in the presence of external uncertainties like air load and noise effects. Practically, external aerodynamic disturbances and sensor noise can alter the desired performance of the aerial robots leading to instability and loss of control of UAVs. Information of all plant states is important for better control and navigation of UAVs. In this paper it is assumed that all plant states are not available, therefore, nonlinear observer design techniques are used to estimate unavailable states of quadrotor plant with least error. The designed nonlinear observer’s results are compared in simulations in the presence of external disturbance and sensor noise. Sliding mode observers implemented in this paper exhibit the property of finite time convergence of error dynamics both with and without disturbances and noise.","PeriodicalId":335329,"journal":{"name":"2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127486285","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}
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