Pub Date : 2016-06-27DOI: 10.1109/CIVEMSA.2016.7524320
Lucas Silva, R. Dantas, P. Diniz, Victor Jeronimo, Luque Bueno, Thiago Dutra
This paper describes the development of a human computer interface focused in detect hand movements and gestures and apply this data into a 3D environment, all this running based on an Android mobile device.
{"title":"PHYS.IO: Wearable hand tracking device","authors":"Lucas Silva, R. Dantas, P. Diniz, Victor Jeronimo, Luque Bueno, Thiago Dutra","doi":"10.1109/CIVEMSA.2016.7524320","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2016.7524320","url":null,"abstract":"This paper describes the development of a human computer interface focused in detect hand movements and gestures and apply this data into a 3D environment, all this running based on an Android mobile device.","PeriodicalId":244122,"journal":{"name":"2016 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124357486","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 : 2016-06-27DOI: 10.1109/CIVEMSA.2016.7524318
Richu Jin, K. Luk, J. Cheung, Yong Hu
Diffusion Tensor imaging (DTI), composing of various metrics, including fractional anisotropy (FA), axial diffusivity (AD), mean diffusivity (MD) and radial diffusivity (RD) has been considered as a useful clinical tool to reveal microstructure of spinal cord. Previous studies have intensively applied DTI in investigating the pathology of cervical spondylotic myelopathy (CSM), as well the symptomatic level diagnosis of CSM. However, it still remains unclear whether the DTI metric could be used in the prognosis of CSM, which is of great significance for selection of the best treatment strategy. Thus, the present study attempted to establish a prognosis model of CSM based on DTI metrics using machine learning methods. Particularly, three conventional machine learning algorithms, Naive Bayesian, Least Squares Support Vector Machine (LS-SVM), and Multi-label K-nearest Neighbour (ML-KNN) were tested on DTI data from 35 CSM patients accepting surgery treatments with post-operative outcomes followed. The results showed that prognosis of CSM with DTI metrics using LS-SVM algorithms could achieve higher prediction performance, with accuracy of 88.62%, and the learning curve of LS-SVM showed that the performance would be significantly improved if the sample size is greater than 202, indicating the potential application of the prognosis prediction of CSM from DTI metrics using machine learning algorithms.
{"title":"A machine learning based prognostic prediction of cervical myelopathy using diffusion tensor imaging","authors":"Richu Jin, K. Luk, J. Cheung, Yong Hu","doi":"10.1109/CIVEMSA.2016.7524318","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2016.7524318","url":null,"abstract":"Diffusion Tensor imaging (DTI), composing of various metrics, including fractional anisotropy (FA), axial diffusivity (AD), mean diffusivity (MD) and radial diffusivity (RD) has been considered as a useful clinical tool to reveal microstructure of spinal cord. Previous studies have intensively applied DTI in investigating the pathology of cervical spondylotic myelopathy (CSM), as well the symptomatic level diagnosis of CSM. However, it still remains unclear whether the DTI metric could be used in the prognosis of CSM, which is of great significance for selection of the best treatment strategy. Thus, the present study attempted to establish a prognosis model of CSM based on DTI metrics using machine learning methods. Particularly, three conventional machine learning algorithms, Naive Bayesian, Least Squares Support Vector Machine (LS-SVM), and Multi-label K-nearest Neighbour (ML-KNN) were tested on DTI data from 35 CSM patients accepting surgery treatments with post-operative outcomes followed. The results showed that prognosis of CSM with DTI metrics using LS-SVM algorithms could achieve higher prediction performance, with accuracy of 88.62%, and the learning curve of LS-SVM showed that the performance would be significantly improved if the sample size is greater than 202, indicating the potential application of the prognosis prediction of CSM from DTI metrics using machine learning algorithms.","PeriodicalId":244122,"journal":{"name":"2016 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114769852","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 : 2016-06-27DOI: 10.1109/CIVEMSA.2016.7524317
Rima Tri Wahyuningrum, L. Anifah, I. K. E. Purnama, M. Purnomo
A computer-based system was designed for grading and quantifying knee osteoarthritis (OA) severity. This paper presents a novel approach to knee osteoarthritis classification. The knee X-ray image data sets were obtained from the Osteoarthritis Initiative (OAI) in 2011. The classification was based on the Kellgren-Lawrence (KL) grades, which related to the various stages of OA solidity. The classifier was constructed using manual knee X-rays image classification, indicating the first four KL grades (normal, doubtful, minimal and moderate). Computer-based image analysis was conducted by employing Machine Learning involving various stages - first, preprocessing using Contrast Limited Adaptive Histogram Equalization (CLAHE) and cropping images manually to 400 × 100 dimension; second, feature extraction by using Structural 2 Dimensional Principal Component Analysis (S2DPCA); and the last stage, classifying the images using Support Vector Machine (SVM). The experimental results showed that KL grade 0 could be differentiated from the other grades with accuracy up to 94.33% on Gaussian kernel.
{"title":"A novel hybrid of S2DPCA and SVM for knee osteoarthritis classification","authors":"Rima Tri Wahyuningrum, L. Anifah, I. K. E. Purnama, M. Purnomo","doi":"10.1109/CIVEMSA.2016.7524317","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2016.7524317","url":null,"abstract":"A computer-based system was designed for grading and quantifying knee osteoarthritis (OA) severity. This paper presents a novel approach to knee osteoarthritis classification. The knee X-ray image data sets were obtained from the Osteoarthritis Initiative (OAI) in 2011. The classification was based on the Kellgren-Lawrence (KL) grades, which related to the various stages of OA solidity. The classifier was constructed using manual knee X-rays image classification, indicating the first four KL grades (normal, doubtful, minimal and moderate). Computer-based image analysis was conducted by employing Machine Learning involving various stages - first, preprocessing using Contrast Limited Adaptive Histogram Equalization (CLAHE) and cropping images manually to 400 × 100 dimension; second, feature extraction by using Structural 2 Dimensional Principal Component Analysis (S2DPCA); and the last stage, classifying the images using Support Vector Machine (SVM). The experimental results showed that KL grade 0 could be differentiated from the other grades with accuracy up to 94.33% on Gaussian kernel.","PeriodicalId":244122,"journal":{"name":"2016 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121889106","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 : 2016-06-27DOI: 10.1109/CIVEMSA.2016.7524316
Yanru Bai, Yong Hu, Zhiguo Zhang
EEG-based pain assessment methods has been widely accepted in recent years. However, performance of cross-individual prediction degraded considerably due to the substantial inter-individual variability in pain-evoked EEG responses. This study aims to improve the accuracy of cross-individual pain prediction via reducing the inter-individual variability. Motivated by our finding that an individual's pain-evoked EEG responses is significantly correlated with his/her spontaneous EEG in terms of magnitude, we proposed a normalization method for pain-evoked EEG responses using one's spontaneous EEG to reduce the inter-individual variability. Continuous prediction for pain trials using spontaneous-EEG-normalized magnitudes of evoked EEG responses as features was developed. Results show that the proposed normalization strategy can effectively reduce the inter-individual variability in pain-evoked responses and lead to a higher prediction accuracy.
{"title":"Spontaneous EEG-based normalization of pain-evoked neural responses: Effect on improving the accuracy of pain prediction","authors":"Yanru Bai, Yong Hu, Zhiguo Zhang","doi":"10.1109/CIVEMSA.2016.7524316","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2016.7524316","url":null,"abstract":"EEG-based pain assessment methods has been widely accepted in recent years. However, performance of cross-individual prediction degraded considerably due to the substantial inter-individual variability in pain-evoked EEG responses. This study aims to improve the accuracy of cross-individual pain prediction via reducing the inter-individual variability. Motivated by our finding that an individual's pain-evoked EEG responses is significantly correlated with his/her spontaneous EEG in terms of magnitude, we proposed a normalization method for pain-evoked EEG responses using one's spontaneous EEG to reduce the inter-individual variability. Continuous prediction for pain trials using spontaneous-EEG-normalized magnitudes of evoked EEG responses as features was developed. Results show that the proposed normalization strategy can effectively reduce the inter-individual variability in pain-evoked responses and lead to a higher prediction accuracy.","PeriodicalId":244122,"journal":{"name":"2016 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130846467","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 : 2016-06-27DOI: 10.1109/CIVEMSA.2016.7524321
Dali Wang, Elliot Rieflin, Gao Chen
This paper presents an effective solution for identifying measurement instruments from the metadata the section of the airborne measurement data files. These instruments were used in generating NASA airborne measurement data. Therefore, these are important information for data preservation and distribution processes. The instrument information, however, are placed in one or more places within the metadata section due to lack of rigor in data format standards. We use a fuzzy multi-criteria decision making system as our framework in order to account for the contribution from multiple information sources. In addition, we have chosen analytic hierarchy process to determine the relative importance of each criterion. The algorithm is applied to multiple NASA airborne missions, and results demonstrate the effectiveness of the proposed method.
{"title":"A fuzzy multi-criteria decision approach to identify measurement instruments","authors":"Dali Wang, Elliot Rieflin, Gao Chen","doi":"10.1109/CIVEMSA.2016.7524321","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2016.7524321","url":null,"abstract":"This paper presents an effective solution for identifying measurement instruments from the metadata the section of the airborne measurement data files. These instruments were used in generating NASA airborne measurement data. Therefore, these are important information for data preservation and distribution processes. The instrument information, however, are placed in one or more places within the metadata section due to lack of rigor in data format standards. We use a fuzzy multi-criteria decision making system as our framework in order to account for the contribution from multiple information sources. In addition, we have chosen analytic hierarchy process to determine the relative importance of each criterion. The algorithm is applied to multiple NASA airborne missions, and results demonstrate the effectiveness of the proposed method.","PeriodicalId":244122,"journal":{"name":"2016 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127438949","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 : 2016-06-27DOI: 10.1109/CIVEMSA.2016.7524313
C. Gadea, Daniel Hong, D. Ionescu, B. Ionescu
The advent of affordable virtual reality (VR) head-mounted displays (HMDs) has sparked significant research activity for creating new principles and algorithms to enable the display of VR content on these devices. However, the development of current VR content is mostly limited to experts using proprietary tools and protocols. A major goal of VR is to allow multiple people to meet and collaborate in the same virtual space, but the implementation time and complexity of creating multi-user 3D environments and games is presently a large barrier to entry for developers. This paper presents a web-based architecture that combines a 3D graphics framework using HTML-like markup with a Document Object Model (DOM) synchronization technique to enable the simple creation of social, user generated, and persistent virtual worlds. By ensuring that relevant 3D scene data remains in the DOM and that synchronization takes place using a novel DOM synchronization mechanism, a social VR experience is created that allows multiple users to collaboratively modify the 3D environment in real-time.
{"title":"An architecture for web-based collaborative 3D virtual spaces using DOM synchronization","authors":"C. Gadea, Daniel Hong, D. Ionescu, B. Ionescu","doi":"10.1109/CIVEMSA.2016.7524313","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2016.7524313","url":null,"abstract":"The advent of affordable virtual reality (VR) head-mounted displays (HMDs) has sparked significant research activity for creating new principles and algorithms to enable the display of VR content on these devices. However, the development of current VR content is mostly limited to experts using proprietary tools and protocols. A major goal of VR is to allow multiple people to meet and collaborate in the same virtual space, but the implementation time and complexity of creating multi-user 3D environments and games is presently a large barrier to entry for developers. This paper presents a web-based architecture that combines a 3D graphics framework using HTML-like markup with a Document Object Model (DOM) synchronization technique to enable the simple creation of social, user generated, and persistent virtual worlds. By ensuring that relevant 3D scene data remains in the DOM and that synchronization takes place using a novel DOM synchronization mechanism, a social VR experience is created that allows multiple users to collaboratively modify the 3D environment in real-time.","PeriodicalId":244122,"journal":{"name":"2016 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132433620","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 : 2016-06-27DOI: 10.1109/CIVEMSA.2016.7524324
R. İ. Kayaalp, T. Demirdelen, M. Tümay
In this study, operation, design and comparison of Dual Phase-Shift and Novel Fuzzy Logic control methods on isolated bidirectional DC-DC converter are discussed. The major components (DC link capacitors and inductors) are created for dual phase shifting method in order to obtain maximum efficiency. Triggering signals, voltage-current waveforms are compared and efficiencies are listed for all of these control methods at buck and boost modes of the full-bridge converter topology without using snubber capacitors to reduce cost feasibility. The main contribution of this paper, applying one of the most common used phase-shift control method, dual phase-shift and comparing with proposed novel Fuzzy Logic control method (Fuzzy-PSO-PI) on efficiency way for medium voltage applications. In this paper, isolated bidirectional DC-DC converter topology is modelled and control algorithms are written by FORTRAN programming language.
{"title":"A novel fuzzy logic control for bidirectional DC-DC converter and comparison with dual phase-shift control method in medium voltage applications","authors":"R. İ. Kayaalp, T. Demirdelen, M. Tümay","doi":"10.1109/CIVEMSA.2016.7524324","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2016.7524324","url":null,"abstract":"In this study, operation, design and comparison of Dual Phase-Shift and Novel Fuzzy Logic control methods on isolated bidirectional DC-DC converter are discussed. The major components (DC link capacitors and inductors) are created for dual phase shifting method in order to obtain maximum efficiency. Triggering signals, voltage-current waveforms are compared and efficiencies are listed for all of these control methods at buck and boost modes of the full-bridge converter topology without using snubber capacitors to reduce cost feasibility. The main contribution of this paper, applying one of the most common used phase-shift control method, dual phase-shift and comparing with proposed novel Fuzzy Logic control method (Fuzzy-PSO-PI) on efficiency way for medium voltage applications. In this paper, isolated bidirectional DC-DC converter topology is modelled and control algorithms are written by FORTRAN programming language.","PeriodicalId":244122,"journal":{"name":"2016 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134128861","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 : 2016-06-27DOI: 10.1109/CIVEMSA.2016.7524323
Ying Bai, Dali Wang
This paper is an extended research for a novel technique used in the pose error compensations of the robot and manipulator calibration process based on an Interval Type-2 Fuzzy error interpolation (IT2FEI) method. Robot calibrations can be classified into model-based and modeless methods. A model-based calibration method normally requires that the practitioners understand the kinematics of the robot therefore may pose a challenge for field engineers. An alternative yet effective means for robot calibration is to use a modeless method; however with such a method there is a conflict between the calibration accuracy of the robot and the number of grid points used in the calibration task. In this paper, an interval type-2 fuzzy interpolation system used to compensate the calibration accuracy of the robot in its 3D workspace is compared with other popular interpolation methods. Simulated results given in this paper show that the IT2FET method is much better than all other methods. Not only robot compensation accuracy can be greatly improved with this method, but also the calibration process can be significantly simplified, and it is more suitable for practical applications.
{"title":"On the comparison of an interval Type-2 Fuzzy interpolation system and other interpolation methods used in industrial modeless robotic calibrations","authors":"Ying Bai, Dali Wang","doi":"10.1109/CIVEMSA.2016.7524323","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2016.7524323","url":null,"abstract":"This paper is an extended research for a novel technique used in the pose error compensations of the robot and manipulator calibration process based on an Interval Type-2 Fuzzy error interpolation (IT2FEI) method. Robot calibrations can be classified into model-based and modeless methods. A model-based calibration method normally requires that the practitioners understand the kinematics of the robot therefore may pose a challenge for field engineers. An alternative yet effective means for robot calibration is to use a modeless method; however with such a method there is a conflict between the calibration accuracy of the robot and the number of grid points used in the calibration task. In this paper, an interval type-2 fuzzy interpolation system used to compensate the calibration accuracy of the robot in its 3D workspace is compared with other popular interpolation methods. Simulated results given in this paper show that the IT2FET method is much better than all other methods. Not only robot compensation accuracy can be greatly improved with this method, but also the calibration process can be significantly simplified, and it is more suitable for practical applications.","PeriodicalId":244122,"journal":{"name":"2016 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121797092","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 : 2016-06-27DOI: 10.1109/CIVEMSA.2016.7524250
P. Mack, D. Megherbi
Involve manually tagging/annotating each image, and using traditional discrete data sorting techniques, such as hashing, to search images using the tags/annotations/groups of annotations. As of 2009, Flickr had 3.4 Billion Images, PhotoBucket had 7.2 Billion, Facebook had 15 Billion, and ImageShack had 20 Billion. However, none of these sites allow searching by image content and use other technologies, such as textual tags or the like. Image automatic annotation is still in its infancy. Google does allow searching in general by some kind of image-content description tagging, using some kind of limited-dictionary for image textual annotation. Although several high performance computing and data storage libraries exist, such as Hadoop and Spark, few are designed for fuzzy-with-some degree-of-similarity image non-textual content data-content retrieval. In this paper we use a multi-page hashing scheme to search images using the image itself to not only be efficient for identical images, but similar images to some degree of fuzziness and degree of similarity as well. The proposed technique uses Fourier descriptors as one representation of image objects as inputs to an evenly distributed and differentiable hashing scheme. One of the challenges in content-based retrieval schemes is the problem of overflow, usually expected in large databases. In the proposed method a Binary-Search-Tree (BST) scheme is used to decrease the search time within buckets and across pages when overflow occurs. Additionally, the proposed method allows for image retrieval based on either image object boundary contours (we call here Lambda search) or on object textures (we call here Lambda2 search) with identical or varying degrees of similarity. Benchmarking Results are presented to show the potential of the proposed method.
{"title":"A content-based image retrieval technique with tolerance via multi-page differentiate hashing and binary-tree searching multi-object buckets","authors":"P. Mack, D. Megherbi","doi":"10.1109/CIVEMSA.2016.7524250","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2016.7524250","url":null,"abstract":"Involve manually tagging/annotating each image, and using traditional discrete data sorting techniques, such as hashing, to search images using the tags/annotations/groups of annotations. As of 2009, Flickr had 3.4 Billion Images, PhotoBucket had 7.2 Billion, Facebook had 15 Billion, and ImageShack had 20 Billion. However, none of these sites allow searching by image content and use other technologies, such as textual tags or the like. Image automatic annotation is still in its infancy. Google does allow searching in general by some kind of image-content description tagging, using some kind of limited-dictionary for image textual annotation. Although several high performance computing and data storage libraries exist, such as Hadoop and Spark, few are designed for fuzzy-with-some degree-of-similarity image non-textual content data-content retrieval. In this paper we use a multi-page hashing scheme to search images using the image itself to not only be efficient for identical images, but similar images to some degree of fuzziness and degree of similarity as well. The proposed technique uses Fourier descriptors as one representation of image objects as inputs to an evenly distributed and differentiable hashing scheme. One of the challenges in content-based retrieval schemes is the problem of overflow, usually expected in large databases. In the proposed method a Binary-Search-Tree (BST) scheme is used to decrease the search time within buckets and across pages when overflow occurs. Additionally, the proposed method allows for image retrieval based on either image object boundary contours (we call here Lambda search) or on object textures (we call here Lambda2 search) with identical or varying degrees of similarity. Benchmarking Results are presented to show the potential of the proposed method.","PeriodicalId":244122,"journal":{"name":"2016 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130323971","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 : 2016-06-27DOI: 10.1109/CIVEMSA.2016.7524252
Chih-Yen Chen, C. Weng, C. Hwang, C. Hsieh, S. Tsung
Disdrometer system is a kind of rainfall measurement tool usually developed to evaluate the raindrop size distribution and velocity of falling hydrometeors. To improve the disdrometer systems, a newly image-based technique for analyzing the raindrops was proposed in the study. This system mainly composed of three components: an optical unit with a light source; an image acquisition unit with a camera and a blackboard to grab the images; the last part is a data processing unit for estimating the collected data. To test the system, we have used glass balls and a liquid dropper to generate free-fall drops in the experiment. Subsequently, the high-speed camera captured images of the falling drops in 90 fps. Especially, the exposure time was set at 2000 ms, which resulted in the falling drops with small blurring in the assessment. We concluded that the proposed image-based disdrometer system can provide an efficient approach for the precipitation measurement by analyzing raindrop features. Moreover, this apparatus have measured micro-physical properties for quantifying the rainfall status as it only requires basic maintenance for long-lasting observation in meteorology especially in large scale areas and distributed scopes.
{"title":"Tracking and modeling raindrops in video sequences for assessing precipitation","authors":"Chih-Yen Chen, C. Weng, C. Hwang, C. Hsieh, S. Tsung","doi":"10.1109/CIVEMSA.2016.7524252","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2016.7524252","url":null,"abstract":"Disdrometer system is a kind of rainfall measurement tool usually developed to evaluate the raindrop size distribution and velocity of falling hydrometeors. To improve the disdrometer systems, a newly image-based technique for analyzing the raindrops was proposed in the study. This system mainly composed of three components: an optical unit with a light source; an image acquisition unit with a camera and a blackboard to grab the images; the last part is a data processing unit for estimating the collected data. To test the system, we have used glass balls and a liquid dropper to generate free-fall drops in the experiment. Subsequently, the high-speed camera captured images of the falling drops in 90 fps. Especially, the exposure time was set at 2000 ms, which resulted in the falling drops with small blurring in the assessment. We concluded that the proposed image-based disdrometer system can provide an efficient approach for the precipitation measurement by analyzing raindrop features. Moreover, this apparatus have measured micro-physical properties for quantifying the rainfall status as it only requires basic maintenance for long-lasting observation in meteorology especially in large scale areas and distributed scopes.","PeriodicalId":244122,"journal":{"name":"2016 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131203206","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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