Pub Date : 2017-02-01DOI: 10.1109/ECACE.2017.7913029
S. Parvez, N. Sakib, M. N. Mollah
In this letter, a novel seventh order equal ripple wideband bandstop filter (BSF) is proposed and demonstrated. This device is based on dumbbell annular ring (DAR) resonators which introduces additional magnetic coupling with quarter wavelength open circuited stubs in the conventional 50-Ω transmission line. However, introducing this DAR resonators (DARRs) generate multiple transmission zeros which is responsible for wider stop band and can be determined from the S-plane. Moreover, the proposed BSF has selectivity up to 170 dB/GHz, rejection level is better than 50-dB, suppress reflection up to 12-dB in the pass band and fractional bandwidth 113.1%. Besides, the group delay is within 3 ns over the 80% of the stop band. The simulated frequency performances of the device from two different software's are in well agreement with the theoretical data.
{"title":"Chebyshev quarter wavelength wideband bandstop filter based on dumbbell annular ring resonator","authors":"S. Parvez, N. Sakib, M. N. Mollah","doi":"10.1109/ECACE.2017.7913029","DOIUrl":"https://doi.org/10.1109/ECACE.2017.7913029","url":null,"abstract":"In this letter, a novel seventh order equal ripple wideband bandstop filter (BSF) is proposed and demonstrated. This device is based on dumbbell annular ring (DAR) resonators which introduces additional magnetic coupling with quarter wavelength open circuited stubs in the conventional 50-Ω transmission line. However, introducing this DAR resonators (DARRs) generate multiple transmission zeros which is responsible for wider stop band and can be determined from the S-plane. Moreover, the proposed BSF has selectivity up to 170 dB/GHz, rejection level is better than 50-dB, suppress reflection up to 12-dB in the pass band and fractional bandwidth 113.1%. Besides, the group delay is within 3 ns over the 80% of the stop band. The simulated frequency performances of the device from two different software's are in well agreement with the theoretical data.","PeriodicalId":333370,"journal":{"name":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123776914","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 : 2017-02-01DOI: 10.1109/ECACE.2017.7912992
M. R. Mou, M. Z. Chowdhury
The ubiquitous services of wireless communication networks are growing rapidly by the development of wireless communication technologies. While a user is roaming from one cell to another cell, an intelligent decision mechanism and network selection is extremely crucial to maintain the quality of service (QoS) during handover. Handover decision must be made precisely to avoid any unnecessary phenomenon like ping-pong, corner effect, call blocking, and call dropping etc. This work considered service types like voice, video, and data and their QoS requirements for handover decision using fuzzy logic in heterogeneous network environment. Service is an important factor for the users and particular service requires respective QoS. This paper provides all the cases of handover decisions between macrocell and femtocell networks considering service type. The proposed system models regarding these handover decisions using fuzzy logic considering several input parameters e.g. received signal strength indicator (RSSI), data rate, user's velocity, and interference level (signal-to-noise plus interference ratio) to make handover from femtocell to macrocell, macrocell to femtocell or femtocell to femtocell. The performance of different parameters are shown based on service type are analyzed.
{"title":"Service aware fuzzy logic based handover decision in heterogeneous wireless networks","authors":"M. R. Mou, M. Z. Chowdhury","doi":"10.1109/ECACE.2017.7912992","DOIUrl":"https://doi.org/10.1109/ECACE.2017.7912992","url":null,"abstract":"The ubiquitous services of wireless communication networks are growing rapidly by the development of wireless communication technologies. While a user is roaming from one cell to another cell, an intelligent decision mechanism and network selection is extremely crucial to maintain the quality of service (QoS) during handover. Handover decision must be made precisely to avoid any unnecessary phenomenon like ping-pong, corner effect, call blocking, and call dropping etc. This work considered service types like voice, video, and data and their QoS requirements for handover decision using fuzzy logic in heterogeneous network environment. Service is an important factor for the users and particular service requires respective QoS. This paper provides all the cases of handover decisions between macrocell and femtocell networks considering service type. The proposed system models regarding these handover decisions using fuzzy logic considering several input parameters e.g. received signal strength indicator (RSSI), data rate, user's velocity, and interference level (signal-to-noise plus interference ratio) to make handover from femtocell to macrocell, macrocell to femtocell or femtocell to femtocell. The performance of different parameters are shown based on service type are analyzed.","PeriodicalId":333370,"journal":{"name":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126357884","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 : 2017-02-01DOI: 10.1109/ECACE.2017.7912965
Md. Ali Hossain, Hasin-E-Jannat, Boshir Ahmed, Md. Al Mamun
Hyperspectral image analysis is becoming an important field of research interest because of its wide range of applications in ground surface identification. New technology is being developed to capture hyperspectral images to cover more spectral bands and finer spectral resolution but also increases challenges to process those images for high correlation among data and both the spectral and spatial redundancy. This paper proposed a feature mining approach for the relevant feature selection as well as efficient classification of the hyperspectral dataset. Principal Component analysis and Mutual Information is two widely used feature reduction techniques utilized in conjunction for the feature reduction of the remote sensing data set. The kernel support vector machine classifier is used to assess the effectiveness of the detected subspace for classification. The proposed feature mining approach is able to achieve 99.3% classification accuracy on real hyperspectral data which higher than the standard approaches studied.
{"title":"Feature mining for effective subspace detection and classification of hyperspectral images","authors":"Md. Ali Hossain, Hasin-E-Jannat, Boshir Ahmed, Md. Al Mamun","doi":"10.1109/ECACE.2017.7912965","DOIUrl":"https://doi.org/10.1109/ECACE.2017.7912965","url":null,"abstract":"Hyperspectral image analysis is becoming an important field of research interest because of its wide range of applications in ground surface identification. New technology is being developed to capture hyperspectral images to cover more spectral bands and finer spectral resolution but also increases challenges to process those images for high correlation among data and both the spectral and spatial redundancy. This paper proposed a feature mining approach for the relevant feature selection as well as efficient classification of the hyperspectral dataset. Principal Component analysis and Mutual Information is two widely used feature reduction techniques utilized in conjunction for the feature reduction of the remote sensing data set. The kernel support vector machine classifier is used to assess the effectiveness of the detected subspace for classification. The proposed feature mining approach is able to achieve 99.3% classification accuracy on real hyperspectral data which higher than the standard approaches studied.","PeriodicalId":333370,"journal":{"name":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121497436","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 : 2017-02-01DOI: 10.1109/ECACE.2017.7912975
S. Chakraborty, M.N. Uddin, K. Deb
Road sign recognition from road image is a crucial area of intelligent transportation system which role is to raise awareness of drivers, pedestrians and automated driving system. In this regard, a framework has been proposed in this paper for recognizing Bangladeshi road sign (BRS). For detecting the road sign (RS), two natural properties of a BRS is utilized, they are — border color rim and shape of the RS. Secondly distance to borders (DtBs) vector is used for shape verification of BRS. For recognizing those candidate regions artificial neural network (ANN) has performed. Based on these ideas initially, YCbCr color model is used to eliminate the illumination sensitiveness and statistical threshold value is used for color segmentation. Next, labeling and filtering is used to extract the shapes of candidate region. DtBs vector is used to verify the region of interest (ROI) of BRS. Affine transformation is used for triangular and quadrangular region to avoid sheared road sign (RS) blob. Finally, ANN is used to recognize the BRS blob. Various road signs are utilized to test the proposed framework under various conditions and results are presented to verify its efficiency.
{"title":"Bangladeshi road sign recognition based on DtBs vector and artificial neural network","authors":"S. Chakraborty, M.N. Uddin, K. Deb","doi":"10.1109/ECACE.2017.7912975","DOIUrl":"https://doi.org/10.1109/ECACE.2017.7912975","url":null,"abstract":"Road sign recognition from road image is a crucial area of intelligent transportation system which role is to raise awareness of drivers, pedestrians and automated driving system. In this regard, a framework has been proposed in this paper for recognizing Bangladeshi road sign (BRS). For detecting the road sign (RS), two natural properties of a BRS is utilized, they are — border color rim and shape of the RS. Secondly distance to borders (DtBs) vector is used for shape verification of BRS. For recognizing those candidate regions artificial neural network (ANN) has performed. Based on these ideas initially, YCbCr color model is used to eliminate the illumination sensitiveness and statistical threshold value is used for color segmentation. Next, labeling and filtering is used to extract the shapes of candidate region. DtBs vector is used to verify the region of interest (ROI) of BRS. Affine transformation is used for triangular and quadrangular region to avoid sheared road sign (RS) blob. Finally, ANN is used to recognize the BRS blob. Various road signs are utilized to test the proposed framework under various conditions and results are presented to verify its efficiency.","PeriodicalId":333370,"journal":{"name":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127868280","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 : 2017-02-01DOI: 10.1109/ECACE.2017.7912873
Prof. Dr. Engr. Muhibul Haque Bhuyan, Quazi Deen Mohd Khosru
This work reports on developing an analytical pinch-off voltage model for the pocket implanted nano scale n-MOSFETs based on an asymmetric linear pocket profile at the source side under the gate of the device. Straight line approximated equation is used to simulate the pocket profile from the source towards the drain along the gate length at the surface of the MOS device. The effective doping concentration is derived for the whole gate length and is incorporated in the pinch-off voltage model that is obtained from the strong inversion charge expression at the surface. Then the pinch-off voltage is simulated for various drain and gate biases as well as for various device parameters. To observe the model validity, inversion charge profile, surface potential at various points along the channel, drain current vs. drain voltage curve is plotted for various gate biases by incorporating this effective channel doping concentration as well as the developed pinch-off voltage model. The simulation results show that the developed pinch-off voltage model can be used to study, simulate and characterize the pocket implanted ULSI devices.
{"title":"Linear asymmetric pocket profile based pinch-off voltage model for nano scale n-MOSFET","authors":"Prof. Dr. Engr. Muhibul Haque Bhuyan, Quazi Deen Mohd Khosru","doi":"10.1109/ECACE.2017.7912873","DOIUrl":"https://doi.org/10.1109/ECACE.2017.7912873","url":null,"abstract":"This work reports on developing an analytical pinch-off voltage model for the pocket implanted nano scale n-MOSFETs based on an asymmetric linear pocket profile at the source side under the gate of the device. Straight line approximated equation is used to simulate the pocket profile from the source towards the drain along the gate length at the surface of the MOS device. The effective doping concentration is derived for the whole gate length and is incorporated in the pinch-off voltage model that is obtained from the strong inversion charge expression at the surface. Then the pinch-off voltage is simulated for various drain and gate biases as well as for various device parameters. To observe the model validity, inversion charge profile, surface potential at various points along the channel, drain current vs. drain voltage curve is plotted for various gate biases by incorporating this effective channel doping concentration as well as the developed pinch-off voltage model. The simulation results show that the developed pinch-off voltage model can be used to study, simulate and characterize the pocket implanted ULSI devices.","PeriodicalId":333370,"journal":{"name":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127325584","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 : 2017-02-01DOI: 10.1109/ECACE.2017.7912966
Md. Ali Hossain, Boshir Ahmed, S. S. Ghosh, Md. Nazrul Islam Mondal
Remote sensing hyperspectral images are blessings of technology through which the ground objects can be detected effectively with the cost of computer processing. For classification of hyperspectral images finding an effective subspace is very important to classify them efficiently. In recent years, many researchers have drawn their interest to extract data more effectively from hyperspectral dataset. In this research, an approach has been proposed to find the effective subspace by measuring the relevance of individual features through Cross Cumulative Residual Entropy from the Principal Component images. The Support Vector Machine has been used as the classifier for the assessment of the feature reduction performance. Experiment has been completed on real hyperspectral dataset and achieved 97% of accuracy which is better than the standard approaches studied.
{"title":"Effective subspace detection based on cross cumulative residual entropy for hyperspectral image classification","authors":"Md. Ali Hossain, Boshir Ahmed, S. S. Ghosh, Md. Nazrul Islam Mondal","doi":"10.1109/ECACE.2017.7912966","DOIUrl":"https://doi.org/10.1109/ECACE.2017.7912966","url":null,"abstract":"Remote sensing hyperspectral images are blessings of technology through which the ground objects can be detected effectively with the cost of computer processing. For classification of hyperspectral images finding an effective subspace is very important to classify them efficiently. In recent years, many researchers have drawn their interest to extract data more effectively from hyperspectral dataset. In this research, an approach has been proposed to find the effective subspace by measuring the relevance of individual features through Cross Cumulative Residual Entropy from the Principal Component images. The Support Vector Machine has been used as the classifier for the assessment of the feature reduction performance. Experiment has been completed on real hyperspectral dataset and achieved 97% of accuracy which is better than the standard approaches studied.","PeriodicalId":333370,"journal":{"name":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132500435","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 : 2017-02-01DOI: 10.1109/ECACE.2017.7913034
Mrinmoy Dey, M. A. Arif, Md. Asif Mahmud
Recently vehicle tracking system is getting vast popularity because of the rising number of the stolen vehicles. Vehicle theft is happening on parking and sometimes driving in unsecured places. This research work explores how to avoid this kind of stealing and provides more security to the vehicles. The implemented system contains single-board embedded system which is equipped with global system for mobile (GSM) and global positioning system (GPS) along with a microcontroller installed in the vehicle. The use of GSM and GPS technologies allows the system to track the object and provides the most up-to-date information about on-going trips. Moreover, fingerprint verification is done in the implemented system to ensure the driving of correct person. The implemented system is very simple with greater security for vehicle anti-theft protection and low cost technique compared to others.
{"title":"Anti-theft protection of vehicle by GSM & GPS with fingerprint verification","authors":"Mrinmoy Dey, M. A. Arif, Md. Asif Mahmud","doi":"10.1109/ECACE.2017.7913034","DOIUrl":"https://doi.org/10.1109/ECACE.2017.7913034","url":null,"abstract":"Recently vehicle tracking system is getting vast popularity because of the rising number of the stolen vehicles. Vehicle theft is happening on parking and sometimes driving in unsecured places. This research work explores how to avoid this kind of stealing and provides more security to the vehicles. The implemented system contains single-board embedded system which is equipped with global system for mobile (GSM) and global positioning system (GPS) along with a microcontroller installed in the vehicle. The use of GSM and GPS technologies allows the system to track the object and provides the most up-to-date information about on-going trips. Moreover, fingerprint verification is done in the implemented system to ensure the driving of correct person. The implemented system is very simple with greater security for vehicle anti-theft protection and low cost technique compared to others.","PeriodicalId":333370,"journal":{"name":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132707038","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 : 2017-02-01DOI: 10.1109/ECACE.2017.7912940
F. Yasmin, S. M. E. Hossain, M. Arefin
Document processing implies processing of documents in a way that the information of the documents can be rendered, retrieved or presented in an understandable way. Survey document processing is the task of analyzing survey documents to obtain people's opinion about product or services. Nowadays, survey is conducted in two different forms. One is online survey and another is using printed documents. The survey that is conducted using printed documents is difficult to process due to the lack of automated processing tools for such types of documents. Considering this fact, in this paper we present a framework for efficient processing of survey documents. Our system works in two major steps. First, we recognize the answers of the users' in each document. Then, we analyze the answers considering all the documents to produce final survey results. We have evaluated our system with sufficient number of survey documents and found that our system can perform almost accurate analysis of survey documents.
{"title":"APSD: A framework for automated processing of survey documents","authors":"F. Yasmin, S. M. E. Hossain, M. Arefin","doi":"10.1109/ECACE.2017.7912940","DOIUrl":"https://doi.org/10.1109/ECACE.2017.7912940","url":null,"abstract":"Document processing implies processing of documents in a way that the information of the documents can be rendered, retrieved or presented in an understandable way. Survey document processing is the task of analyzing survey documents to obtain people's opinion about product or services. Nowadays, survey is conducted in two different forms. One is online survey and another is using printed documents. The survey that is conducted using printed documents is difficult to process due to the lack of automated processing tools for such types of documents. Considering this fact, in this paper we present a framework for efficient processing of survey documents. Our system works in two major steps. First, we recognize the answers of the users' in each document. Then, we analyze the answers considering all the documents to produce final survey results. We have evaluated our system with sufficient number of survey documents and found that our system can perform almost accurate analysis of survey documents.","PeriodicalId":333370,"journal":{"name":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128458557","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 : 2017-02-01DOI: 10.1109/ECACE.2017.7912889
Shabbir Chowdhury, Saikat Kushary
A nearly zero ultra-flattened dispersion shifted photonic crystal fiber with high birefringence and high non-linear property has been proposed. This fiber offers only −0.472 ps/(nm-km) to 0.18 ps/(nm-km) dispersion within the wavebands 1500 nm to 1900 nm with non-linear coefficient 46 W −1km −1 at 1550nm wavelength. Finite element method (FEM) is being used to simulate the fiber design.
{"title":"Design of a nearly zero ultra-flattened dispersion shifted fiber with high birefringence and high non-linearity","authors":"Shabbir Chowdhury, Saikat Kushary","doi":"10.1109/ECACE.2017.7912889","DOIUrl":"https://doi.org/10.1109/ECACE.2017.7912889","url":null,"abstract":"A nearly zero ultra-flattened dispersion shifted photonic crystal fiber with high birefringence and high non-linear property has been proposed. This fiber offers only −0.472 ps/(nm-km) to 0.18 ps/(nm-km) dispersion within the wavebands 1500 nm to 1900 nm with non-linear coefficient 46 W −1km −1 at 1550nm wavelength. Finite element method (FEM) is being used to simulate the fiber design.","PeriodicalId":333370,"journal":{"name":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134155529","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 : 2017-02-01DOI: 10.1109/ECACE.2017.7912957
S. Parvez, N. Sakib, M. N. Mollah
This Paper illustrates the low pass filter (LPF) topology based on complementary split ring resonator (CSRR) with added slot. The introduction of a slot structure in the CSRR can not only reduce the group velocity of the transmission but also decrease the inductive reactance which results in compactness of the device by providing the transmission zero after resonance. Therefore, quasi-elliptic function and extension of the rejection band has been established. In other words, this LPF exhibits significant improvement on rejection bandwidth, selectivity and return loss (RL) in the passband. Besides, with electrical length for the ring is o.11Xg (single cell), the device characterizes by pointing out the capability of the approach with rejection levels of 13-dB over 50% of the stopband and selectivity of about 142 dB/GHz. The group delay is within 0.20 ns over 75% of frequency of interest. Well agreement between theoretical and simulated data are accomplished.
{"title":"A quasi-elliptic low pass filter based on complementary split ring resonator with sharp selectivity and wide stopband","authors":"S. Parvez, N. Sakib, M. N. Mollah","doi":"10.1109/ECACE.2017.7912957","DOIUrl":"https://doi.org/10.1109/ECACE.2017.7912957","url":null,"abstract":"This Paper illustrates the low pass filter (LPF) topology based on complementary split ring resonator (CSRR) with added slot. The introduction of a slot structure in the CSRR can not only reduce the group velocity of the transmission but also decrease the inductive reactance which results in compactness of the device by providing the transmission zero after resonance. Therefore, quasi-elliptic function and extension of the rejection band has been established. In other words, this LPF exhibits significant improvement on rejection bandwidth, selectivity and return loss (RL) in the passband. Besides, with electrical length for the ring is o.11Xg (single cell), the device characterizes by pointing out the capability of the approach with rejection levels of 13-dB over 50% of the stopband and selectivity of about 142 dB/GHz. The group delay is within 0.20 ns over 75% of frequency of interest. Well agreement between theoretical and simulated data are accomplished.","PeriodicalId":333370,"journal":{"name":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134363069","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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