Pub Date : 2017-11-01DOI: 10.1109/PIERS-FALL.2017.8293534
Sang-Won Kim, I. Cho, Sung-Yong Hong
This work proposes a novel transmitting and receiving coil structure that can be charged and maintained in efficiency regardless of the position of the transmitting coil on the plane at a certain distance when a transmitting coil having a relatively large area is used as compared with the receiving coil. In generally, the spiral or helical type transmitting coil has a reduced magnetic density as it goes toward the center, so that the rectified voltage and efficiency are decreased at the same time. So the novel structure of transmitting coil and dual receiving coil are proposed in this paper can generate a uniform system efficiency on the charging area, enabling wireless charging regardless of the position of the receiving coil.
{"title":"Design of resonator for wireless charging system with expanded charging area","authors":"Sang-Won Kim, I. Cho, Sung-Yong Hong","doi":"10.1109/PIERS-FALL.2017.8293534","DOIUrl":"https://doi.org/10.1109/PIERS-FALL.2017.8293534","url":null,"abstract":"This work proposes a novel transmitting and receiving coil structure that can be charged and maintained in efficiency regardless of the position of the transmitting coil on the plane at a certain distance when a transmitting coil having a relatively large area is used as compared with the receiving coil. In generally, the spiral or helical type transmitting coil has a reduced magnetic density as it goes toward the center, so that the rectified voltage and efficiency are decreased at the same time. So the novel structure of transmitting coil and dual receiving coil are proposed in this paper can generate a uniform system efficiency on the charging area, enabling wireless charging regardless of the position of the receiving coil.","PeriodicalId":39469,"journal":{"name":"Advances in Engineering Education","volume":"51 1","pages":"2373-2375"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85042017","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 : 2017-11-01DOI: 10.1109/PIERS-FALL.2017.8293549
Jianhong Xiang, Chen Li, Qiang Guo
In order to solve the problem of mixing matrix estimation in the blind source separation of discrete frequency coding MIMO radar signals, through exploiting the linear clustering characteristic of the observed signal in time-frequency domain, a method of using time-frequency independent complex argument points detection and adaptive hierarchical clustering algorithm estimation is proposed. First, we exploit the sparsity of the MIMO radar signals in time-frequency domain. Therefore, the time-frequency points which have linear clustering characteristic can be extracted from the observed signals by the time-frequency independent complex argument points detection algorithm. Second, the adaptive hierarchical clustering algorithm is applied to the precise estimation of the mixing matrix. Compared with the traditional hierarchical clustering algorithm, the proposed method improves the filtering effect, and simultaneously removes the points which time-frequency independent complex argument points detection cannot detect due to noise and filter threshold. The algorithm can effectively solve the mixing matrix estimation problem of MIMO radar signals for underdetermined blind source separation. The simulation results show the feasibility and effectiveness of the proposed method.
{"title":"Mixing matrix estimation of MIMO radar based on adaptive hierarchical clustering algorithm for underdetermined blind source separation","authors":"Jianhong Xiang, Chen Li, Qiang Guo","doi":"10.1109/PIERS-FALL.2017.8293549","DOIUrl":"https://doi.org/10.1109/PIERS-FALL.2017.8293549","url":null,"abstract":"In order to solve the problem of mixing matrix estimation in the blind source separation of discrete frequency coding MIMO radar signals, through exploiting the linear clustering characteristic of the observed signal in time-frequency domain, a method of using time-frequency independent complex argument points detection and adaptive hierarchical clustering algorithm estimation is proposed. First, we exploit the sparsity of the MIMO radar signals in time-frequency domain. Therefore, the time-frequency points which have linear clustering characteristic can be extracted from the observed signals by the time-frequency independent complex argument points detection algorithm. Second, the adaptive hierarchical clustering algorithm is applied to the precise estimation of the mixing matrix. Compared with the traditional hierarchical clustering algorithm, the proposed method improves the filtering effect, and simultaneously removes the points which time-frequency independent complex argument points detection cannot detect due to noise and filter threshold. The algorithm can effectively solve the mixing matrix estimation problem of MIMO radar signals for underdetermined blind source separation. The simulation results show the feasibility and effectiveness of the proposed method.","PeriodicalId":39469,"journal":{"name":"Advances in Engineering Education","volume":"119 1","pages":"2459-2465"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78556182","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 : 2017-11-01DOI: 10.1109/PIERS-FALL.2017.8293641
J. Vrba, L. Vannucci, V. Pankrác, M. Babič, D. Vrba
Hyperthermia is already well established in cancer treatment as a sensitizer to radiotherapy and chemotherapy. It is based on heating of tumor area to temperatures between 41 and 45°C. Usually it is induced by electromagnetic or ultrasound waves. In both cases selective heating of the treated area is accomplished by superposition of fields and is due to physical and technical limitations a challenging task. A very promising concept for preferential heating of the tumor area is based on accumulation of magnetic nanoparticles in the tumor and heating them with time-harmonic magnetic fields. In this work we use 1 ml sample of four different magnetic nanoparticles with different cores and coatings dispersed in PBS and deionized water. The individual samples were exposed to a time-harmonic magnetic field and the sample temperature was monitored throughout the exposure. The concentration of nanoparticles in the samples was chosen to correspond to realistic values that may be present in biological tissues without being toxic. For this purpose, we designed and manufactured an exposure system operating at 200 kHz. The exposure time was set to 5 minutes and the amplitude of the applied magnetic field intensity was up to 5 kA ·m_1. The temperature was monitored by an optical thermometer. Temperature measurements indicated the possibility to exert effective increase of temperature during the time period indicated in samples with nanoparticles dispersed in deionized water. In this paper we will introduce the exposure system as well as some results.
{"title":"Influence of media type on heating of selected magnetic nanoparticles with time-harmonic magnetic fields","authors":"J. Vrba, L. Vannucci, V. Pankrác, M. Babič, D. Vrba","doi":"10.1109/PIERS-FALL.2017.8293641","DOIUrl":"https://doi.org/10.1109/PIERS-FALL.2017.8293641","url":null,"abstract":"Hyperthermia is already well established in cancer treatment as a sensitizer to radiotherapy and chemotherapy. It is based on heating of tumor area to temperatures between 41 and 45°C. Usually it is induced by electromagnetic or ultrasound waves. In both cases selective heating of the treated area is accomplished by superposition of fields and is due to physical and technical limitations a challenging task. A very promising concept for preferential heating of the tumor area is based on accumulation of magnetic nanoparticles in the tumor and heating them with time-harmonic magnetic fields. In this work we use 1 ml sample of four different magnetic nanoparticles with different cores and coatings dispersed in PBS and deionized water. The individual samples were exposed to a time-harmonic magnetic field and the sample temperature was monitored throughout the exposure. The concentration of nanoparticles in the samples was chosen to correspond to realistic values that may be present in biological tissues without being toxic. For this purpose, we designed and manufactured an exposure system operating at 200 kHz. The exposure time was set to 5 minutes and the amplitude of the applied magnetic field intensity was up to 5 kA ·m_1. The temperature was monitored by an optical thermometer. Temperature measurements indicated the possibility to exert effective increase of temperature during the time period indicated in samples with nanoparticles dispersed in deionized water. In this paper we will introduce the exposure system as well as some results.","PeriodicalId":39469,"journal":{"name":"Advances in Engineering Education","volume":"38 1","pages":"2966-2970"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84060645","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 : 2017-11-01DOI: 10.1109/PIERS-FALL.2017.8293303
Kai-ming Li, Yong Wu, Wang-yang Li, Yu-Xue Sun
Micro-Doppler effect has been referred to as the unique characteristic of radar targets for targets classification and recognition. The application of interferometric inverse synthetic aperture radar (InISAR) imaging for low-altitude targets based on linear frequency modulated continuous wave (LFMCW) radar is studied in this paper. Taking three kinds of helicopters as example, the echoes of targets are modeled and the method for echoes separation of scatterers from rotation parts and main body is presented. Then taking the interferometric processing to the echoes, three-dimensional image of the target can be obtained. By using the extracted micro-motion parameters, the classification of the three kinds of helicopters is accomplished.
{"title":"A new method for helicopter classification based on InISAR under LFMCW radar","authors":"Kai-ming Li, Yong Wu, Wang-yang Li, Yu-Xue Sun","doi":"10.1109/PIERS-FALL.2017.8293303","DOIUrl":"https://doi.org/10.1109/PIERS-FALL.2017.8293303","url":null,"abstract":"Micro-Doppler effect has been referred to as the unique characteristic of radar targets for targets classification and recognition. The application of interferometric inverse synthetic aperture radar (InISAR) imaging for low-altitude targets based on linear frequency modulated continuous wave (LFMCW) radar is studied in this paper. Taking three kinds of helicopters as example, the echoes of targets are modeled and the method for echoes separation of scatterers from rotation parts and main body is presented. Then taking the interferometric processing to the echoes, three-dimensional image of the target can be obtained. By using the extracted micro-motion parameters, the classification of the three kinds of helicopters is accomplished.","PeriodicalId":39469,"journal":{"name":"Advances in Engineering Education","volume":"2 1","pages":"1128-1135"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84124563","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 : 2017-11-01DOI: 10.1109/PIERS-FALL.2017.8293604
Caicai Gao, Guohua Wang, S. G. Razul
In order to separate signals from different sources while estimating time of arrival (TOA), the super-resolution technique in range/time domain is desirable in the scenario of multi-target with high density or in the presence of strong multipath, due to the limitation on the bandwidth. In this paper, we provide an overview of several existing range super-resolution algorithms, including the adaptive regularization least squares (APLS) method, the inverse filter (IF), the iterative adaptive approach (IAA), the multiple signal classification (MUSIC) algorithm using cross correlation (MUSIC-CC), and the MUSIC algorithm based on channel response (MUSIC-CR). Both numerical data and trial data transmitted and received by the universal software radio peripheral (USRP) are used to compare their performance.
{"title":"Comparisons of the super-resolution TOA/TDOA estimation algorithms","authors":"Caicai Gao, Guohua Wang, S. G. Razul","doi":"10.1109/PIERS-FALL.2017.8293604","DOIUrl":"https://doi.org/10.1109/PIERS-FALL.2017.8293604","url":null,"abstract":"In order to separate signals from different sources while estimating time of arrival (TOA), the super-resolution technique in range/time domain is desirable in the scenario of multi-target with high density or in the presence of strong multipath, due to the limitation on the bandwidth. In this paper, we provide an overview of several existing range super-resolution algorithms, including the adaptive regularization least squares (APLS) method, the inverse filter (IF), the iterative adaptive approach (IAA), the multiple signal classification (MUSIC) algorithm using cross correlation (MUSIC-CC), and the MUSIC algorithm based on channel response (MUSIC-CR). Both numerical data and trial data transmitted and received by the universal software radio peripheral (USRP) are used to compare their performance.","PeriodicalId":39469,"journal":{"name":"Advances in Engineering Education","volume":"24 1","pages":"2752-2758"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84188270","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 : 2017-11-01DOI: 10.1109/PIERS-FALL.2017.8293267
Jinxin Li, Chao Wang, Shigang Wang, Hong Zhang, Qiaoyan Fu, Yuanyuan Wang
Sea ice detection is one of the most important applications in synthetic aperture radar (SAR) image processing and it always be served for ship navigation and climate change studies. Due to the noise, low resolution and multiple characteristics of SAR images, and limitations of traditional SAR image classification methods, the detection accuracy of traditional sea ice SAR images is not high and can't meet the high precision requirements of application in practice. Deep learning, one of the most popular machine learning methods, have been researched and applied in SAR image classification by some researchers. But, so far, very few researchers have applied deep learning methods to sea ice SAR image detection. In this paper, two scenes of Chinese Gaofen-3 SAR data of sea ice were applied to sea ice detection research using convolutional neural network (CNN). First, the train data is obtained from Gaofen-3 sea ice SAR Image by chipping different classes of SAR images into patches; Then, the different classes train data is used to train the CNN and get the trained CNN model; After the training, the trained CNN model was used to classify the Gaofen-3 sea ice SAR image with sea ice and non-sea ice by a patch-based window traversing the entire SAR image. In order to illustrate the sea ice detection result of deep learning, several traditional SAR image detection methods are experimented for contrast. Experimental results demonstrate that deep learning method is suitable for sea ice SAR image detection and achieves high detection accuracy than others traditional methods.
{"title":"Gaofen-3 sea ice detection based on deep learning","authors":"Jinxin Li, Chao Wang, Shigang Wang, Hong Zhang, Qiaoyan Fu, Yuanyuan Wang","doi":"10.1109/PIERS-FALL.2017.8293267","DOIUrl":"https://doi.org/10.1109/PIERS-FALL.2017.8293267","url":null,"abstract":"Sea ice detection is one of the most important applications in synthetic aperture radar (SAR) image processing and it always be served for ship navigation and climate change studies. Due to the noise, low resolution and multiple characteristics of SAR images, and limitations of traditional SAR image classification methods, the detection accuracy of traditional sea ice SAR images is not high and can't meet the high precision requirements of application in practice. Deep learning, one of the most popular machine learning methods, have been researched and applied in SAR image classification by some researchers. But, so far, very few researchers have applied deep learning methods to sea ice SAR image detection. In this paper, two scenes of Chinese Gaofen-3 SAR data of sea ice were applied to sea ice detection research using convolutional neural network (CNN). First, the train data is obtained from Gaofen-3 sea ice SAR Image by chipping different classes of SAR images into patches; Then, the different classes train data is used to train the CNN and get the trained CNN model; After the training, the trained CNN model was used to classify the Gaofen-3 sea ice SAR image with sea ice and non-sea ice by a patch-based window traversing the entire SAR image. In order to illustrate the sea ice detection result of deep learning, several traditional SAR image detection methods are experimented for contrast. Experimental results demonstrate that deep learning method is suitable for sea ice SAR image detection and achieves high detection accuracy than others traditional methods.","PeriodicalId":39469,"journal":{"name":"Advances in Engineering Education","volume":"259 1","pages":"933-939"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72907819","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 : 2017-11-01DOI: 10.1109/PIERS-FALL.2017.8293414
Seunghyeok Jang, Seong-Kyun Park, D. Im
A process, voltage, and temperature (PVT) insensitive noise canceling blaun-LNA is implemented in 0.13μm CMOS process for TV receiver applications. The proposed balun-LNA is composed of only NMOS transistors, and its voltage gain is determined by transconductance (gm) ratio of the transistors of the same type. This makes the voltage gain and NF of the LNA insensitive to PVT variations. In addition, the unity gain CS amplifier with diode-connected load is added in order to reduce the noise contribution from the CS stage in the proposed balun LNA. In spite of the additional noise contribution from the unity gain CS amplifier, the proposed LNA improves the overall noise figure (NF) performance. In the post-layout simulation, the proposed balun-LNA shows a power gain (S21) of 14.5 dB, a NF of less than 2.6 dB, an input return loss (S11) of greater than 10dB at 500 MHz and typical corner condition (tt, 1.2 V, 27°C). The variation of S21 and NF at 500 MHz is about 2.5dB and 0.8 dB, respectively, over all corner variations. The power consumption of the proposed balun-LNA excluding the output buffer is about 3.6mW at a 1.2V supply.
{"title":"A PVT insensitive noise canceling balun-LNA for TV receiver applications","authors":"Seunghyeok Jang, Seong-Kyun Park, D. Im","doi":"10.1109/PIERS-FALL.2017.8293414","DOIUrl":"https://doi.org/10.1109/PIERS-FALL.2017.8293414","url":null,"abstract":"A process, voltage, and temperature (PVT) insensitive noise canceling blaun-LNA is implemented in 0.13μm CMOS process for TV receiver applications. The proposed balun-LNA is composed of only NMOS transistors, and its voltage gain is determined by transconductance (gm) ratio of the transistors of the same type. This makes the voltage gain and NF of the LNA insensitive to PVT variations. In addition, the unity gain CS amplifier with diode-connected load is added in order to reduce the noise contribution from the CS stage in the proposed balun LNA. In spite of the additional noise contribution from the unity gain CS amplifier, the proposed LNA improves the overall noise figure (NF) performance. In the post-layout simulation, the proposed balun-LNA shows a power gain (S21) of 14.5 dB, a NF of less than 2.6 dB, an input return loss (S11) of greater than 10dB at 500 MHz and typical corner condition (tt, 1.2 V, 27°C). The variation of S21 and NF at 500 MHz is about 2.5dB and 0.8 dB, respectively, over all corner variations. The power consumption of the proposed balun-LNA excluding the output buffer is about 3.6mW at a 1.2V supply.","PeriodicalId":39469,"journal":{"name":"Advances in Engineering Education","volume":"74 1","pages":"1726-1728"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76789222","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 : 2017-11-01DOI: 10.1109/PIERS-FALL.2017.8293217
Junliang Bao, Junjun Yin, Jian Yang
Over-segmentation, or superpixel segmentation is widely applied in various image processing tasks such as image classification and region-based change detection. In polarimetric synthetic aperture radar (PolSAR) image processing, the complex Wishart distribution is commonly used in the modeling of homogeneous regions. In this paper, we introduce a segmentation method for multi-temporal PolSAR images based on the simple linear iterative clustering (SLIC) framework. We apply the Wishart distribution-based distance and modify the combination form for the SLIC distance measure such that the SLIC method can be adapted to the statistical characteristics of PolSAR imagery. Compared with existing PolSAR image superpixel methods, the proposed method has better time cost efficiency while maintaining the performance on segmentation results. Moreover, the proposed method is capable of jointly segmenting two or more multi-temporal PolSAR images, which is the basis for some further earth observation applications such as change detection and region-based data fusion tasks.
{"title":"Superpixel-based segmentation for multi-temporal PolSAR images","authors":"Junliang Bao, Junjun Yin, Jian Yang","doi":"10.1109/PIERS-FALL.2017.8293217","DOIUrl":"https://doi.org/10.1109/PIERS-FALL.2017.8293217","url":null,"abstract":"Over-segmentation, or superpixel segmentation is widely applied in various image processing tasks such as image classification and region-based change detection. In polarimetric synthetic aperture radar (PolSAR) image processing, the complex Wishart distribution is commonly used in the modeling of homogeneous regions. In this paper, we introduce a segmentation method for multi-temporal PolSAR images based on the simple linear iterative clustering (SLIC) framework. We apply the Wishart distribution-based distance and modify the combination form for the SLIC distance measure such that the SLIC method can be adapted to the statistical characteristics of PolSAR imagery. Compared with existing PolSAR image superpixel methods, the proposed method has better time cost efficiency while maintaining the performance on segmentation results. Moreover, the proposed method is capable of jointly segmenting two or more multi-temporal PolSAR images, which is the basis for some further earth observation applications such as change detection and region-based data fusion tasks.","PeriodicalId":39469,"journal":{"name":"Advances in Engineering Education","volume":"40 1","pages":"654-658"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82290773","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 : 2017-11-01DOI: 10.1109/PIERS-FALL.2017.8293323
M. Abdulmalek, H. Nornikman, O. Al-Khatib, N. Abdulaziz, M. Aziz, B. Ahmad, H. Rahim, M. Mustapha, M. M. D. M. Muslihat, S. B. York, S. H. M. Yusof, N. Nazim
Nowadays, the world has rapidly evolved in the communication system in term of speed and information capacity. Thus, a bow-tie antenna is the suggestion to use because of its exhibits low profile and lightweight. However, the bow-tie patch antenna, inherently have narrow bandwidths and in general are half wavelength structures operating at the fundamental resonant mode. To cater this problem, a slotted bow-tie antenna is designed for wireless applications with consist techniques a pair of polygon-shaped branches structure is implemented on each arm of the bow-tie slot antenna characteristics. The co-planar waveguide is applied to this antenna to effect the wider bandwidth to the antenna. This proposed CPW slotted bow-tie antenna is using FR-4 substrate with dielectric constant, εr = 4.4 and the electrical conductivity tangent loss, tan Δ = 0.019 with substrate dimension of 52.4 mm length × 22.3 mm width. Several parametric studies are done to make sure the suitable dimension for best antenna performance. In this case, several different dimensions of three part are consider to study, such as the microstrip line width (Wml), height of feedline (Hfl), and the length of branch, Lbr. The basic antenna without polygon-shaped branches can offer a wider frequency band operation at 2.293 GHz–2.541 GHz with bandwidth of 248 MHz effect by the co-planar waveguide technique. After the addition of the polygon-shaped branches structure to the bow-tie part, its effect a band-notch effect at the 2.46 GHz, while creating a new resonant frequency at two different part at 2.394 GHz and 2.511GHz with resonant frequency of −18.585dB and 19.555dB, respectively.
{"title":"Co-planar waveguide (CPW) slotted bow-tie antenna with band-notch using polygon-shaped branches structure","authors":"M. Abdulmalek, H. Nornikman, O. Al-Khatib, N. Abdulaziz, M. Aziz, B. Ahmad, H. Rahim, M. Mustapha, M. M. D. M. Muslihat, S. B. York, S. H. M. Yusof, N. Nazim","doi":"10.1109/PIERS-FALL.2017.8293323","DOIUrl":"https://doi.org/10.1109/PIERS-FALL.2017.8293323","url":null,"abstract":"Nowadays, the world has rapidly evolved in the communication system in term of speed and information capacity. Thus, a bow-tie antenna is the suggestion to use because of its exhibits low profile and lightweight. However, the bow-tie patch antenna, inherently have narrow bandwidths and in general are half wavelength structures operating at the fundamental resonant mode. To cater this problem, a slotted bow-tie antenna is designed for wireless applications with consist techniques a pair of polygon-shaped branches structure is implemented on each arm of the bow-tie slot antenna characteristics. The co-planar waveguide is applied to this antenna to effect the wider bandwidth to the antenna. This proposed CPW slotted bow-tie antenna is using FR-4 substrate with dielectric constant, εr = 4.4 and the electrical conductivity tangent loss, tan Δ = 0.019 with substrate dimension of 52.4 mm length × 22.3 mm width. Several parametric studies are done to make sure the suitable dimension for best antenna performance. In this case, several different dimensions of three part are consider to study, such as the microstrip line width (Wml), height of feedline (Hfl), and the length of branch, Lbr. The basic antenna without polygon-shaped branches can offer a wider frequency band operation at 2.293 GHz–2.541 GHz with bandwidth of 248 MHz effect by the co-planar waveguide technique. After the addition of the polygon-shaped branches structure to the bow-tie part, its effect a band-notch effect at the 2.46 GHz, while creating a new resonant frequency at two different part at 2.394 GHz and 2.511GHz with resonant frequency of −18.585dB and 19.555dB, respectively.","PeriodicalId":39469,"journal":{"name":"Advances in Engineering Education","volume":"18 1","pages":"1251-1257"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82368159","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 : 2017-11-01DOI: 10.1109/PIERS-FALL.2017.8293564
A. Levina, S. Taranov, D. Kaplun, D. Klionskiy, V. Gulvanskii
This article presents the new construction of security-oriented codes that provides protection of device against algebraic manipulations. New construction of algebraic manipulation detection codes based on wavelet decomposition. The proposed error-detecting schemes can significantly improves the reliability of storage systems and channels of information transmission. The presented code constructions provides a significant gain in the systems that are already has wavelet transformation. In these systems the coefficients of scaling functions are already calculated and it can be used in the proposed constructions, it gives the gain in rate of information processing and have lower maximum of error masking probability.
{"title":"AMD codes based on wavelet transform","authors":"A. Levina, S. Taranov, D. Kaplun, D. Klionskiy, V. Gulvanskii","doi":"10.1109/PIERS-FALL.2017.8293564","DOIUrl":"https://doi.org/10.1109/PIERS-FALL.2017.8293564","url":null,"abstract":"This article presents the new construction of security-oriented codes that provides protection of device against algebraic manipulations. New construction of algebraic manipulation detection codes based on wavelet decomposition. The proposed error-detecting schemes can significantly improves the reliability of storage systems and channels of information transmission. The presented code constructions provides a significant gain in the systems that are already has wavelet transformation. In these systems the coefficients of scaling functions are already calculated and it can be used in the proposed constructions, it gives the gain in rate of information processing and have lower maximum of error masking probability.","PeriodicalId":39469,"journal":{"name":"Advances in Engineering Education","volume":"1 1","pages":"2534-2539"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82390206","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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