Pub Date : 2017-07-07DOI: 10.1109/OPTIP.2017.8030700
Qi Zhou, Yongming Yang, Zhenzhou Wang
3D measurement technology is one of the important research fields in computer vision. 3D measurement based on binocular stereo vision is a typical measurement technique. In this paper, the structured light technology is combined with binocular stereo technology. The structured light can increase the feature of object's surface, so we can reconstruct the surface of object more robustly. In this paper, we establish the 3D imaging system, obtain the point of 3D coordinates on the imaging plane, and then extract the center of the stripe image. Based on the stripe center, we propose a new method of matching. At last, we reconstruct the 3D surface of the object by calculating the interception points of two rays with analytical solutions. The experimental results show that the method is feasible and efficient.
{"title":"Combing structured light measurement technology with binocular stereo vision","authors":"Qi Zhou, Yongming Yang, Zhenzhou Wang","doi":"10.1109/OPTIP.2017.8030700","DOIUrl":"https://doi.org/10.1109/OPTIP.2017.8030700","url":null,"abstract":"3D measurement technology is one of the important research fields in computer vision. 3D measurement based on binocular stereo vision is a typical measurement technique. In this paper, the structured light technology is combined with binocular stereo technology. The structured light can increase the feature of object's surface, so we can reconstruct the surface of object more robustly. In this paper, we establish the 3D imaging system, obtain the point of 3D coordinates on the imaging plane, and then extract the center of the stripe image. Based on the stripe center, we propose a new method of matching. At last, we reconstruct the 3D surface of the object by calculating the interception points of two rays with analytical solutions. The experimental results show that the method is feasible and efficient.","PeriodicalId":398930,"journal":{"name":"2017 IEEE 2nd International Conference on Opto-Electronic Information Processing (ICOIP)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133975464","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 : 2017-07-07DOI: 10.1109/OPTIP.2017.8030690
Lanting Fang, Lenan Wu
Signal demodulation in short range multi-path channel plays an important role in communication system. The existed wireless communication system in short range multi-channel achieve signal demodulation by using a equalizer to minimize the effect of inter-code crosstalk caused by the channel before the signal detection. However, channel equalization methods are either with high complexity or a waste of frequency resource. In this paper, we propose a deep learning based detection method for signal demodulation. The proposed method can detect the signal directly without any channel equalization methods in short range multi-path channel. The existing deep learning methods DBN and SAE can be applied to our system. Meanwhile, we propose a novel deep learning method - TTN with a lower computational complexity compared with DBN and SAE. To evaluate the performance of the proposed system, series of comprehensive simulation experiments is conducted under the environment of multi-path channels. The experimental results show that the proposed deep learning detection method can be used for signal demodulation in multi-path channel without channel equalization.
{"title":"Deep learning detection method for signal demodulation in short range multipath channel","authors":"Lanting Fang, Lenan Wu","doi":"10.1109/OPTIP.2017.8030690","DOIUrl":"https://doi.org/10.1109/OPTIP.2017.8030690","url":null,"abstract":"Signal demodulation in short range multi-path channel plays an important role in communication system. The existed wireless communication system in short range multi-channel achieve signal demodulation by using a equalizer to minimize the effect of inter-code crosstalk caused by the channel before the signal detection. However, channel equalization methods are either with high complexity or a waste of frequency resource. In this paper, we propose a deep learning based detection method for signal demodulation. The proposed method can detect the signal directly without any channel equalization methods in short range multi-path channel. The existing deep learning methods DBN and SAE can be applied to our system. Meanwhile, we propose a novel deep learning method - TTN with a lower computational complexity compared with DBN and SAE. To evaluate the performance of the proposed system, series of comprehensive simulation experiments is conducted under the environment of multi-path channels. The experimental results show that the proposed deep learning detection method can be used for signal demodulation in multi-path channel without channel equalization.","PeriodicalId":398930,"journal":{"name":"2017 IEEE 2nd International Conference on Opto-Electronic Information Processing (ICOIP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131737590","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 : 2017-07-07DOI: 10.1109/OPTIP.2017.8030701
Kiat Siong Ng, Pei-Yin Chen, Y. Tseng
Water leakages in pipelines and water distribution systems are the major issues in many countries. In this paper, we propose an automatic water pipeline leak detection device to continuously monitor the water pipelines to reduce manpower involvement. This device not only reduces human resource but also the time used to process collected information. Our device allows leak detection staff to remotely listen to leak sounds of any pipelines by focusing their attention on the suspicious area. The leak detection staffs can easily distinguish the real leakage from the false alarm by our system design. If leakage occurred, leak detection staffs will be able to determine the severity of the leak and its precise location. Our device is more effective and practicable for government agencies to implement to deal with the problem of water leakage.
{"title":"A design of automatic water leak detection device","authors":"Kiat Siong Ng, Pei-Yin Chen, Y. Tseng","doi":"10.1109/OPTIP.2017.8030701","DOIUrl":"https://doi.org/10.1109/OPTIP.2017.8030701","url":null,"abstract":"Water leakages in pipelines and water distribution systems are the major issues in many countries. In this paper, we propose an automatic water pipeline leak detection device to continuously monitor the water pipelines to reduce manpower involvement. This device not only reduces human resource but also the time used to process collected information. Our device allows leak detection staff to remotely listen to leak sounds of any pipelines by focusing their attention on the suspicious area. The leak detection staffs can easily distinguish the real leakage from the false alarm by our system design. If leakage occurred, leak detection staffs will be able to determine the severity of the leak and its precise location. Our device is more effective and practicable for government agencies to implement to deal with the problem of water leakage.","PeriodicalId":398930,"journal":{"name":"2017 IEEE 2nd International Conference on Opto-Electronic Information Processing (ICOIP)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131571299","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 : 2017-07-07DOI: 10.1109/OPTIP.2017.8030695
Yanwen Li, Shuguo Xie
There are mainly two reasons for the highly image blurring in the electromagnetic imaging system. On one hand, image is degraded by the filtering effect of the diffraction-limited system. On the other hand, under-sampling and noise cause the vague as well. The special resolution of the current electromagnetic imaging super-resolution algorithm cannot meet the requirement. Therefore, an algorithm combined with geometric mean interpolation and Lucy-Richardson iterative is proposed. Firstly, the degraded image is interpolated based on geometric mean of pixels so as to increase the image pixels and information. Then use LR iterative to build super-resolution for the image of the known point-spread function. Compared with the traditional algorithm, the special resolution of the recovery image is improved by 70% and 20% respectively under the condition of no-noise and 20dB noise reconstructed by the new method. At the same time, the algorithm has certain effects on noise suppression. Relevant simulations and experiments are practiced to check the correctness of the new algorithm.
{"title":"A super resolution algorithm based on L-R iteration geometric mean in electromagnetic imaging","authors":"Yanwen Li, Shuguo Xie","doi":"10.1109/OPTIP.2017.8030695","DOIUrl":"https://doi.org/10.1109/OPTIP.2017.8030695","url":null,"abstract":"There are mainly two reasons for the highly image blurring in the electromagnetic imaging system. On one hand, image is degraded by the filtering effect of the diffraction-limited system. On the other hand, under-sampling and noise cause the vague as well. The special resolution of the current electromagnetic imaging super-resolution algorithm cannot meet the requirement. Therefore, an algorithm combined with geometric mean interpolation and Lucy-Richardson iterative is proposed. Firstly, the degraded image is interpolated based on geometric mean of pixels so as to increase the image pixels and information. Then use LR iterative to build super-resolution for the image of the known point-spread function. Compared with the traditional algorithm, the special resolution of the recovery image is improved by 70% and 20% respectively under the condition of no-noise and 20dB noise reconstructed by the new method. At the same time, the algorithm has certain effects on noise suppression. Relevant simulations and experiments are practiced to check the correctness of the new algorithm.","PeriodicalId":398930,"journal":{"name":"2017 IEEE 2nd International Conference on Opto-Electronic Information Processing (ICOIP)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122772974","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 : 2017-07-07DOI: 10.1109/OPTIP.2017.8030704
Y. M. Sub, Bernard Yap Tzen Hian, Lee It Fong, Ariffin Bin Minhar, Tan Kim Wui, L. H. Jin, Foo Thai Min
Defectivity is another critical aspect of Chemical Mechanical Planarization (CMP) processing and other than typical CMP induced defects: micro scratches, slurry particles, etc., there are other types of critical wafer defects that negatively impact process yields in Nano semiconductor process manufacturing. A case of an observational study draws that in comparison to reference levels, wafer functional yields were lower than expected. In result, defective chips were displayed an Electro-Static Discharge (ESD) breakdown issue in the common Metal Interconnect induced damage during Chemical Mechanical Polishing. This paper describes the CMP process module partitioning and tool charging analysis pointed out by the specific unit of the Applied Materials Mirra-Mesa CMP tool of HCLU (Head Clean Load/Unload) at the post inter-metal dielectric (IMD) chemical mechanical polishing (CMP) step [1–2]. This work is focused on the defects generated by the present Electrostatic Discharge (ESD) resistivity specified at limits of de-ionized water (DIW) that induced electrostatic damage during Chemical Mechanical Planarization. To eliminate such ESD breakdown, we provide a design of experiments (DOE) which complements efficiently what is possible with existing extraction tools. Through the proposed DOE set, charging induced damage (CID) into common metal interconnect have been analyzed and evaluated.
{"title":"A case of charging induced damage into the common Metal Interconnect during Chemical Mechanical Polishing","authors":"Y. M. Sub, Bernard Yap Tzen Hian, Lee It Fong, Ariffin Bin Minhar, Tan Kim Wui, L. H. Jin, Foo Thai Min","doi":"10.1109/OPTIP.2017.8030704","DOIUrl":"https://doi.org/10.1109/OPTIP.2017.8030704","url":null,"abstract":"Defectivity is another critical aspect of Chemical Mechanical Planarization (CMP) processing and other than typical CMP induced defects: micro scratches, slurry particles, etc., there are other types of critical wafer defects that negatively impact process yields in Nano semiconductor process manufacturing. A case of an observational study draws that in comparison to reference levels, wafer functional yields were lower than expected. In result, defective chips were displayed an Electro-Static Discharge (ESD) breakdown issue in the common Metal Interconnect induced damage during Chemical Mechanical Polishing. This paper describes the CMP process module partitioning and tool charging analysis pointed out by the specific unit of the Applied Materials Mirra-Mesa CMP tool of HCLU (Head Clean Load/Unload) at the post inter-metal dielectric (IMD) chemical mechanical polishing (CMP) step [1–2]. This work is focused on the defects generated by the present Electrostatic Discharge (ESD) resistivity specified at limits of de-ionized water (DIW) that induced electrostatic damage during Chemical Mechanical Planarization. To eliminate such ESD breakdown, we provide a design of experiments (DOE) which complements efficiently what is possible with existing extraction tools. Through the proposed DOE set, charging induced damage (CID) into common metal interconnect have been analyzed and evaluated.","PeriodicalId":398930,"journal":{"name":"2017 IEEE 2nd International Conference on Opto-Electronic Information Processing (ICOIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126125913","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 : 2017-07-07DOI: 10.1109/OPTIP.2017.8030696
Zhuohan Cheng, Xin Xiang, Yangcheng Shen
An emerging trend in the field of image restoration is the removal of haze or fog from an image or video sequence to improve the quality of the image. Such image restoration techniques is widely used in applications like traffic monitoring and surveillance during hazy weather conditions, prediction and analysis of volcanic activities, etc. In this paper, we propose a novel algorithm based on a fusion model integrated with a multi-resolution approximation technique. The technique decomposes the given hazy image into its frequency components in which the most distinct feature values are extracted using a fusion model. Our proposed algorithm is tested with various hazy images under varying degrees of fog. Experimental results show that the proposed approach is efficient and efficient for foreground object detection and visibility enhancement under fog weather conditions.
{"title":"A novel image defogging algorithm based on multi-resolution fusion transform","authors":"Zhuohan Cheng, Xin Xiang, Yangcheng Shen","doi":"10.1109/OPTIP.2017.8030696","DOIUrl":"https://doi.org/10.1109/OPTIP.2017.8030696","url":null,"abstract":"An emerging trend in the field of image restoration is the removal of haze or fog from an image or video sequence to improve the quality of the image. Such image restoration techniques is widely used in applications like traffic monitoring and surveillance during hazy weather conditions, prediction and analysis of volcanic activities, etc. In this paper, we propose a novel algorithm based on a fusion model integrated with a multi-resolution approximation technique. The technique decomposes the given hazy image into its frequency components in which the most distinct feature values are extracted using a fusion model. Our proposed algorithm is tested with various hazy images under varying degrees of fog. Experimental results show that the proposed approach is efficient and efficient for foreground object detection and visibility enhancement under fog weather conditions.","PeriodicalId":398930,"journal":{"name":"2017 IEEE 2nd International Conference on Opto-Electronic Information Processing (ICOIP)","volume":"365 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116691766","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 : 2017-07-07DOI: 10.1109/OPTIP.2017.8030692
Xinyu Dou, Huaqing Liang, Jiayi Fan, Yang Liu, Rui Zhang
As cutting-edge technology, cluster wells can substantially enhance wells production and oil recovery. Rotating Magnet Ranging System (RMRS) is critical technology to ensure precise ranging and accurate interconnecting target of complex structure wells. The magnetic signal of RMRS is a sinusoidal signal of frequency-varying, narrow band, and its intensity attenuates rapidly with cube of the propagation distance. When the distance is far away, the weak magnetic field signal is completely submerged by the environmental electromagnetic interference and the inherent noise of the detection circuit, which can not be detected accurately. According to the narrow band and varying frequency characteristics of rotating magnetic signal, a signal acquisition and processing system is designed for RMRS in order to track the varying frequency accurately and extract the weak amplitude precisely. System hardware included preamplifier, narrow band filter circuit, high precision A/D conversion circuit, control circuit and peripheral circuit. System software included digital filter algorithm and PC interface designing. A novel IQuinn-Rife method is proposed to effectively estimate the frequency of signal for RMRS under a strong interference background. Simulation results indicate IQuinn-Rife algorithm can improve the frequency resolution, avoid collecting useless frequency points, advance efficiency of the calculation speed and enhance accuracy of the results. The experiment verifies that the instrument is stable and reliable to quickly process the magnetic field signals while drilling in strong noise environment. The results indicate that the maximum effective ranging distance can be up to 50m for the adjacent well distance detection signals acquisition system, which can fulfill the requirements of drilling engineering in complex structure wells.
{"title":"A signal acquisition and processing system for cluster wells ranging","authors":"Xinyu Dou, Huaqing Liang, Jiayi Fan, Yang Liu, Rui Zhang","doi":"10.1109/OPTIP.2017.8030692","DOIUrl":"https://doi.org/10.1109/OPTIP.2017.8030692","url":null,"abstract":"As cutting-edge technology, cluster wells can substantially enhance wells production and oil recovery. Rotating Magnet Ranging System (RMRS) is critical technology to ensure precise ranging and accurate interconnecting target of complex structure wells. The magnetic signal of RMRS is a sinusoidal signal of frequency-varying, narrow band, and its intensity attenuates rapidly with cube of the propagation distance. When the distance is far away, the weak magnetic field signal is completely submerged by the environmental electromagnetic interference and the inherent noise of the detection circuit, which can not be detected accurately. According to the narrow band and varying frequency characteristics of rotating magnetic signal, a signal acquisition and processing system is designed for RMRS in order to track the varying frequency accurately and extract the weak amplitude precisely. System hardware included preamplifier, narrow band filter circuit, high precision A/D conversion circuit, control circuit and peripheral circuit. System software included digital filter algorithm and PC interface designing. A novel IQuinn-Rife method is proposed to effectively estimate the frequency of signal for RMRS under a strong interference background. Simulation results indicate IQuinn-Rife algorithm can improve the frequency resolution, avoid collecting useless frequency points, advance efficiency of the calculation speed and enhance accuracy of the results. The experiment verifies that the instrument is stable and reliable to quickly process the magnetic field signals while drilling in strong noise environment. The results indicate that the maximum effective ranging distance can be up to 50m for the adjacent well distance detection signals acquisition system, which can fulfill the requirements of drilling engineering in complex structure wells.","PeriodicalId":398930,"journal":{"name":"2017 IEEE 2nd International Conference on Opto-Electronic Information Processing (ICOIP)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129262464","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 : 2017-07-07DOI: 10.1109/OPTIP.2017.8030697
Gang Xie, Yuan Xu, De-Liang Lian, Zilong Zhang, Jianguo Zhang
This paper introduces a design of Geiger-mode SPAD array chip aiming at unmanned-vehicle LIDAR. In order to reduce the number of afterpulsings, active quenching is adopted to keep the SPAD off for a sufficiently long time after each avalanche. Through theory analysis and simulation, a TDC is shared by a column of SPADs to improve the fill factor of photosensitive parts. The monolithic array chip is designed in the SMIC 0.13 µm CIS CMOS technology. Simulations proved that the sensor has a frame rate of over 30 fps and a measurement range of 250 m above, while still keeping high measurement precision.
{"title":"Single-photon avalanche diode array with column-level time-to-digital converter for unmanned vehicle","authors":"Gang Xie, Yuan Xu, De-Liang Lian, Zilong Zhang, Jianguo Zhang","doi":"10.1109/OPTIP.2017.8030697","DOIUrl":"https://doi.org/10.1109/OPTIP.2017.8030697","url":null,"abstract":"This paper introduces a design of Geiger-mode SPAD array chip aiming at unmanned-vehicle LIDAR. In order to reduce the number of afterpulsings, active quenching is adopted to keep the SPAD off for a sufficiently long time after each avalanche. Through theory analysis and simulation, a TDC is shared by a column of SPADs to improve the fill factor of photosensitive parts. The monolithic array chip is designed in the SMIC 0.13 µm CIS CMOS technology. Simulations proved that the sensor has a frame rate of over 30 fps and a measurement range of 250 m above, while still keeping high measurement precision.","PeriodicalId":398930,"journal":{"name":"2017 IEEE 2nd International Conference on Opto-Electronic Information Processing (ICOIP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126362028","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}
Image registration is considered as a highly challenging task which is used in various medical applications such as diagnosis and image guided interventions. Registration is performed with medical images captured via different modalities and labeled as moving and fixed images. The transformation of the moving image is achieved by minimizing an objective function through updating the parameters of transformation. The existing techniques have some drawbacks in terms of speed, performance level and accuracy. Considering the limits, a new algorithm for non-rigid registration is proposed in this paper which is executed using the Ultrasound (US) and Computed Tomography (CT) images of Liver. The algorithm includes segmentation of liver surface, selection of best matched slice using similarity measure, calculation of objective function and estimation of transformation. The proposed method is applied to three clinical datasets and quantitative evaluations are conducted. Visual examinations and experimental results verifies a lower level of registration error and a higher level of accuracy which makes the algorithm acceptable for clinical applications.
{"title":"Non-rigid registration of multimodal images (Ultrasound and CT) of Liver using gradient orientation information","authors":"Romel Bhattacharjee, Ashish Verma, Neeraj Sharma, Shiru Sharma","doi":"10.1109/OPTIP.2017.8030694","DOIUrl":"https://doi.org/10.1109/OPTIP.2017.8030694","url":null,"abstract":"Image registration is considered as a highly challenging task which is used in various medical applications such as diagnosis and image guided interventions. Registration is performed with medical images captured via different modalities and labeled as moving and fixed images. The transformation of the moving image is achieved by minimizing an objective function through updating the parameters of transformation. The existing techniques have some drawbacks in terms of speed, performance level and accuracy. Considering the limits, a new algorithm for non-rigid registration is proposed in this paper which is executed using the Ultrasound (US) and Computed Tomography (CT) images of Liver. The algorithm includes segmentation of liver surface, selection of best matched slice using similarity measure, calculation of objective function and estimation of transformation. The proposed method is applied to three clinical datasets and quantitative evaluations are conducted. Visual examinations and experimental results verifies a lower level of registration error and a higher level of accuracy which makes the algorithm acceptable for clinical applications.","PeriodicalId":398930,"journal":{"name":"2017 IEEE 2nd International Conference on Opto-Electronic Information Processing (ICOIP)","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116066664","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 : 2017-07-01DOI: 10.1109/OPTIP.2017.8030703
Gudkov Aleksandr, V. Shashurin, V. Vyuginov, V. Tikhomirov, S. Vidyakin, S. Agasieva, S. Chizhikov
Numerical simulation of field-effect microwave high-electron-mobility transistors (HEMTs) based on GaN/AlN/AlGaN heterostructures are performed. The results of the study showed that the optimal thicknesses of the AlGaN barrier layer, allowing high microwave power implementation.
{"title":"Dependence analysis of the GaN HEMT parameters for space application on the thickness AlGaN barrier layer by numerical simulation","authors":"Gudkov Aleksandr, V. Shashurin, V. Vyuginov, V. Tikhomirov, S. Vidyakin, S. Agasieva, S. Chizhikov","doi":"10.1109/OPTIP.2017.8030703","DOIUrl":"https://doi.org/10.1109/OPTIP.2017.8030703","url":null,"abstract":"Numerical simulation of field-effect microwave high-electron-mobility transistors (HEMTs) based on GaN/AlN/AlGaN heterostructures are performed. The results of the study showed that the optimal thicknesses of the AlGaN barrier layer, allowing high microwave power implementation.","PeriodicalId":398930,"journal":{"name":"2017 IEEE 2nd International Conference on Opto-Electronic Information Processing (ICOIP)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124274758","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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