This paper covers an experiment that investigates the relation between the quality of the dataset and the performance of the classifier. It demonstrates that dataset with less noisy labels, i.e., higher agreement level between labelers can achieve better classification accuracy results. In order to set the experiment, we divided human annotated Arabic Twitter dataset under two levels of majority voting ratio: low and high. Then, we reported the credibility prediction accuracy results under these two levels. It was found that by using labeled dataset with low level of agreement between labelers means low ratio of majority voting class, the accuracy was in the range (32% - 50.5%) whereas with labeled dataset with high percentage of majority voting class, it was between (62.8% - 66.7%). This finding clarifies that improving the quality of labeling by reducing the effect of noisy labels would yield better classification results.
{"title":"Labeling Agreement Level and Classification Accuracy","authors":"Amal Abdullah Al Mansour","doi":"10.1109/SITIS.2016.51","DOIUrl":"https://doi.org/10.1109/SITIS.2016.51","url":null,"abstract":"This paper covers an experiment that investigates the relation between the quality of the dataset and the performance of the classifier. It demonstrates that dataset with less noisy labels, i.e., higher agreement level between labelers can achieve better classification accuracy results. In order to set the experiment, we divided human annotated Arabic Twitter dataset under two levels of majority voting ratio: low and high. Then, we reported the credibility prediction accuracy results under these two levels. It was found that by using labeled dataset with low level of agreement between labelers means low ratio of majority voting class, the accuracy was in the range (32% - 50.5%) whereas with labeled dataset with high percentage of majority voting class, it was between (62.8% - 66.7%). This finding clarifies that improving the quality of labeling by reducing the effect of noisy labels would yield better classification results.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134026611","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}
Scaling up video resolution has conventionally been achieved via linear interpolation, however this method occasionally introduces blurring to the output. Super-resolution (SR), an approach to preserve image quality in enlarged still images, has been exploited as a substitute for linear interpolation, however, the output at times exhibits image qualities worse than what linear interpolation produces primarily because the initial goal of SR is preservation of image quality when a still image is enlarged. In this context, this paper proposes a fast-performance adaptive system for scaling-up other resolutions like X2 using X3 model or X3 using X2 model by (1) first grouping frames that would use similar filter sets (2) then conducting fine-tuning of shallow CNN for SR on each frame group. Filter sets fine-tuned for each group resulted in significantly improved PSNR over either linear interpolation or conventional SR in our experiment. In the fine-tuning stage for each group, 0.5K to 2.5K iterations were sufficient to improve PSNR by 10%. By fine-tuning instead of performing full training, the number of sufficient iterations was reduced from 3,000K to mere 0.5K to 2.5K.
{"title":"An Enhanced Video Super Resolution System Using Group-Based Optimized Filter-Set with Shallow Convolutional Neural Network","authors":"Sangchul Kim, J. Nang","doi":"10.1109/SITIS.2016.59","DOIUrl":"https://doi.org/10.1109/SITIS.2016.59","url":null,"abstract":"Scaling up video resolution has conventionally been achieved via linear interpolation, however this method occasionally introduces blurring to the output. Super-resolution (SR), an approach to preserve image quality in enlarged still images, has been exploited as a substitute for linear interpolation, however, the output at times exhibits image qualities worse than what linear interpolation produces primarily because the initial goal of SR is preservation of image quality when a still image is enlarged. In this context, this paper proposes a fast-performance adaptive system for scaling-up other resolutions like X2 using X3 model or X3 using X2 model by (1) first grouping frames that would use similar filter sets (2) then conducting fine-tuning of shallow CNN for SR on each frame group. Filter sets fine-tuned for each group resulted in significantly improved PSNR over either linear interpolation or conventional SR in our experiment. In the fine-tuning stage for each group, 0.5K to 2.5K iterations were sufficient to improve PSNR by 10%. By fine-tuning instead of performing full training, the number of sufficient iterations was reduced from 3,000K to mere 0.5K to 2.5K.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"269 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124234533","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}
Silvia Rossi, F. Barile, Clemente Galdi, Luca Russo
In an Internet of Things vision of smarts museums, recommendation systems based on collaborative filtering approaches can be exploited in the context of providing personalized artworks tours. In this work, we address the problem of generating and then recommending an artworks sequence for a group of visitors within a museum. Differently from a recommender system for an e-commerce application, the problem, here, is trying to maximize the satisfaction of the proposed recommendations, while taking into account an items' ordering that satisfies each group member during the sequence and the artworks location in the museum. In this work, we present a general framework to address such problems and evaluate a prototype implementation with both an offline analysis and a pilot study in a simulated museum environment.
{"title":"Artworks Sequences Recommendations for Groups in Museums","authors":"Silvia Rossi, F. Barile, Clemente Galdi, Luca Russo","doi":"10.1109/SITIS.2016.77","DOIUrl":"https://doi.org/10.1109/SITIS.2016.77","url":null,"abstract":"In an Internet of Things vision of smarts museums, recommendation systems based on collaborative filtering approaches can be exploited in the context of providing personalized artworks tours. In this work, we address the problem of generating and then recommending an artworks sequence for a group of visitors within a museum. Differently from a recommender system for an e-commerce application, the problem, here, is trying to maximize the satisfaction of the proposed recommendations, while taking into account an items' ordering that satisfies each group member during the sequence and the artworks location in the museum. In this work, we present a general framework to address such problems and evaluate a prototype implementation with both an offline analysis and a pilot study in a simulated museum environment.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133952966","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}
Shiying Wang, Lei Zhang, Lu Wang, Cairang Nanjia, Xiaolan Zhu, Hong Li, Xiaoying Wang
Tibetan Medicine plays an important role in traditional Chinese Medical Science. For the inheritance of Tibetan medical science and disease prevention, the main method is to summarize and study the medication and diagnostic rules by using data mining technology, which is still in the early stage. In this paper, firstly, a standard knowledge base for plateau stomach illness has been constructed by using clustering algorithm to analyze clinical diagnosis and treatment data and Tibetan medicine prescription that from "Four Medical Classics". Secondly, the classical Apriori algorithm is used to discover the associated features of disease symptoms and prescriptions. Finally, an ovel distance discriminant based K-nearest neighbor algorithm on the base of the Grey Box method is put forward to realize the Tibetan medicine diagnosis and treatment prediction model on the plateau stomach illness (Atrophic Gastritis) through combining the individual characteristics of patients and typical symptoms of plateau stomach. As a result, the model of this paper can achieve an accuracy as high as 80.1%.
{"title":"Research on Syndrome Classification Prediction Model of Tibetan Medicine Diagnosis and Treatment Based on Data Mining","authors":"Shiying Wang, Lei Zhang, Lu Wang, Cairang Nanjia, Xiaolan Zhu, Hong Li, Xiaoying Wang","doi":"10.1109/SITIS.2016.84","DOIUrl":"https://doi.org/10.1109/SITIS.2016.84","url":null,"abstract":"Tibetan Medicine plays an important role in traditional Chinese Medical Science. For the inheritance of Tibetan medical science and disease prevention, the main method is to summarize and study the medication and diagnostic rules by using data mining technology, which is still in the early stage. In this paper, firstly, a standard knowledge base for plateau stomach illness has been constructed by using clustering algorithm to analyze clinical diagnosis and treatment data and Tibetan medicine prescription that from \"Four Medical Classics\". Secondly, the classical Apriori algorithm is used to discover the associated features of disease symptoms and prescriptions. Finally, an ovel distance discriminant based K-nearest neighbor algorithm on the base of the Grey Box method is put forward to realize the Tibetan medicine diagnosis and treatment prediction model on the plateau stomach illness (Atrophic Gastritis) through combining the individual characteristics of patients and typical symptoms of plateau stomach. As a result, the model of this paper can achieve an accuracy as high as 80.1%.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134345909","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}
This work explores the Internet of Cultural Things (IoCT) and applications in the context of smart cities and learning cities. Ambient culture is advanced as an emergent form of the IoCT and applications in the context of 21st century everyday interactions in urban spaces. The constructs of awareness, learning, openness, and engagement enable formulation and operationalization of a framework for ambient culture in support of this study of the Internet of Cultural Things (IoCT) and applications in smart cities. A case study approach is used in the gathering of qualitative and quantitative data through interviews and surveys conducted with diverse individuals across several cities in Canada and Europe. In parallel with this study, anecdotal evidence is gathered from individuals and groups about smart cities, enabling further analysis and triangulation of data. This work contributes to the research literature across several domains including the IoCT and applications in relation to smart cities and learning cities. Future research and practice directions are identified for ambient culture with implications for ambient heritage, libraries, data relationships, and data infrastructures going forward.
{"title":"Emergent Ambient Culture in Smart Cities: Exploring the Internet of Cultural Things (IoCT) and Applications in 21st Century Urban Spaces","authors":"H. McKenna","doi":"10.1109/SITIS.2016.72","DOIUrl":"https://doi.org/10.1109/SITIS.2016.72","url":null,"abstract":"This work explores the Internet of Cultural Things (IoCT) and applications in the context of smart cities and learning cities. Ambient culture is advanced as an emergent form of the IoCT and applications in the context of 21st century everyday interactions in urban spaces. The constructs of awareness, learning, openness, and engagement enable formulation and operationalization of a framework for ambient culture in support of this study of the Internet of Cultural Things (IoCT) and applications in smart cities. A case study approach is used in the gathering of qualitative and quantitative data through interviews and surveys conducted with diverse individuals across several cities in Canada and Europe. In parallel with this study, anecdotal evidence is gathered from individuals and groups about smart cities, enabling further analysis and triangulation of data. This work contributes to the research literature across several domains including the IoCT and applications in relation to smart cities and learning cities. Future research and practice directions are identified for ambient culture with implications for ambient heritage, libraries, data relationships, and data infrastructures going forward.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"318 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131768533","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}
Cloud computing is the fruit of recent developments in information technology, it provides access to many online services as well as remote computing resources as needed. To be more specific, cloud computing stands today as a satisfactory answer to the problem of storage and computing of data encountered by companies. It provides treatment and accommodation of their digital information via a fully outsourced infrastructure. The latter enables users to benefit from many online services without worrying about the technical aspects of their use. In the meanwhile, it limits costs generated by the management of these data. However, this advanced technology has immediately highlighted many serious security troubles. The major issue that prevents many companies to migrate to the cloud is the security of sensitive data hosted in the provider. Actually, the security problem related to this technology has slowed their expansion and restricted in a severe way their scope. The work in this paper deals to present a literature review of data security approaches for cloud computing, and evaluates them in terms of how well they support critical security services and what level of adaptation they achieve.
{"title":"Security Issues in Cloud Computing and Associated Alleviation Approaches","authors":"Hamza Hammami, H. Brahmi, Imen Brahmi, S. Yahia","doi":"10.1109/SITIS.2016.125","DOIUrl":"https://doi.org/10.1109/SITIS.2016.125","url":null,"abstract":"Cloud computing is the fruit of recent developments in information technology, it provides access to many online services as well as remote computing resources as needed. To be more specific, cloud computing stands today as a satisfactory answer to the problem of storage and computing of data encountered by companies. It provides treatment and accommodation of their digital information via a fully outsourced infrastructure. The latter enables users to benefit from many online services without worrying about the technical aspects of their use. In the meanwhile, it limits costs generated by the management of these data. However, this advanced technology has immediately highlighted many serious security troubles. The major issue that prevents many companies to migrate to the cloud is the security of sensitive data hosted in the provider. Actually, the security problem related to this technology has slowed their expansion and restricted in a severe way their scope. The work in this paper deals to present a literature review of data security approaches for cloud computing, and evaluates them in terms of how well they support critical security services and what level of adaptation they achieve.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114753545","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}
Recently, dense trajectories were shown to be an efficient video motion representation for action recognition and achieved state-of-the-art results on a variety of video datasets. This paper improves their performance by taking into account camera motion. To estimate camera motion, the authors use long-term point trajectory analysis to cluster image points and propose an algorithm to find possible background cluster from these clusters according to background nature in a video. Considering the original clusters could not segment the foreground and background very well. The authors optimize the background cluster, and use the cluster to rectify the trajectory. Experimental results on three challenging action datasets (i.e., Hollywood2, Olympic Sports and UCF50) show that the rectified trajectories significantly outperform original dense trajectories.
{"title":"Action Recognition for Videos by Long-Term Point Trajectory Analysis with Background Removal","authors":"Yuze Xiang, Y. Okada, Kosuke Kaneko","doi":"10.1109/SITIS.2016.13","DOIUrl":"https://doi.org/10.1109/SITIS.2016.13","url":null,"abstract":"Recently, dense trajectories were shown to be an efficient video motion representation for action recognition and achieved state-of-the-art results on a variety of video datasets. This paper improves their performance by taking into account camera motion. To estimate camera motion, the authors use long-term point trajectory analysis to cluster image points and propose an algorithm to find possible background cluster from these clusters according to background nature in a video. Considering the original clusters could not segment the foreground and background very well. The authors optimize the background cluster, and use the cluster to rectify the trajectory. Experimental results on three challenging action datasets (i.e., Hollywood2, Olympic Sports and UCF50) show that the rectified trajectories significantly outperform original dense trajectories.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116097066","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}
Alaettin Uçan, Behzad Naderalvojoud, E. Sezer, H. Sever
This paper proposes an automatic translation approach to create a sentiment lexicon for a new language from available English resources. In this approach, an automatic mapping is generated from a sense-level resource to a wordlevel by applying a triple unification process. This process produces a single polarity score for each term by incorporating all sense polarities. The major idea is to deal with the sense ambiguity during the lexicon transfer and provide a general sentiment lexicon for languages like Turkish which do not have a freely available machine-readable dictionary. On the other hand, the translation quality is critical in the lexicon transfer due to the ambiguity problem. Thus, this paper also proposes a multiple bilingual translation approach to find the most appropriate equivalents for the source language terms. In this approach, three parallel, series and hybrid algorithms are used to integrate the translation results. Finally, three lexicons are achieved for the target language with different sizes. The performance of three lexicons is evaluated in the lexicon-based sentiment classification task and compared with the results achieved by the supervised approach. According to experimental results, the proposed approach can produce reliable sentiment lexicons for the target language.
{"title":"SentiWordNet for New Language: Automatic Translation Approach","authors":"Alaettin Uçan, Behzad Naderalvojoud, E. Sezer, H. Sever","doi":"10.1109/SITIS.2016.57","DOIUrl":"https://doi.org/10.1109/SITIS.2016.57","url":null,"abstract":"This paper proposes an automatic translation approach to create a sentiment lexicon for a new language from available English resources. In this approach, an automatic mapping is generated from a sense-level resource to a wordlevel by applying a triple unification process. This process produces a single polarity score for each term by incorporating all sense polarities. The major idea is to deal with the sense ambiguity during the lexicon transfer and provide a general sentiment lexicon for languages like Turkish which do not have a freely available machine-readable dictionary. On the other hand, the translation quality is critical in the lexicon transfer due to the ambiguity problem. Thus, this paper also proposes a multiple bilingual translation approach to find the most appropriate equivalents for the source language terms. In this approach, three parallel, series and hybrid algorithms are used to integrate the translation results. Finally, three lexicons are achieved for the target language with different sizes. The performance of three lexicons is evaluated in the lexicon-based sentiment classification task and compared with the results achieved by the supervised approach. According to experimental results, the proposed approach can produce reliable sentiment lexicons for the target language.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116997361","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}
This research aimed to the study analysis knee angle of color set detection using image processing technique. It had been developed to assist the patient after knee joint surgery or those who had knee joint problem by detecting value from color set to record result for treatment planning and shortening time to diagnose or set knee joint treatment planning for physician. This research utilized the video camera to record the knee joint therapy and displayed the color detection real-time result on computer. Connected-component labeling and bounding box techniques using Open CV program to design color detector from color set software which displayed the current angle and recorded the patient data as the new patient and existing patient. Results from three patients showed that the analysis system of knee joint angle was useable. The accuracy of program was 96% and the system could record the patient data as new and existing patient. Moreover, the system could be applied to analyze the condition or treatment planning for the physician.
{"title":"The Study Analysis Knee Angle of Color Set Detection Using Image Processing Technique","authors":"Patiyuth Pramkeaw","doi":"10.1109/SITIS.2016.109","DOIUrl":"https://doi.org/10.1109/SITIS.2016.109","url":null,"abstract":"This research aimed to the study analysis knee angle of color set detection using image processing technique. It had been developed to assist the patient after knee joint surgery or those who had knee joint problem by detecting value from color set to record result for treatment planning and shortening time to diagnose or set knee joint treatment planning for physician. This research utilized the video camera to record the knee joint therapy and displayed the color detection real-time result on computer. Connected-component labeling and bounding box techniques using Open CV program to design color detector from color set software which displayed the current angle and recorded the patient data as the new patient and existing patient. Results from three patients showed that the analysis system of knee joint angle was useable. The accuracy of program was 96% and the system could record the patient data as new and existing patient. Moreover, the system could be applied to analyze the condition or treatment planning for the physician.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123706553","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}
Tourism is one of the most benefitted areas of internet and its related progressive technologies. Smart tourism requires bringing together the various stakeholders in the tourism industry through a common platform of technology. This paper aims to provide an insight into this concept, we firstly introduce the technological foundation of smart tourism system, and then we propose an electronic ticketing system that can be is proposed to integrate the information of events that could interest tourist. The benefits and challenges which may occur or have occurred in the implementation of smart tourism are finally discussed.
{"title":"Design of Electronic Ticket System for Smart Tourism","authors":"Anouar Dalli, S. Bri","doi":"10.1109/SITIS.2016.82","DOIUrl":"https://doi.org/10.1109/SITIS.2016.82","url":null,"abstract":"Tourism is one of the most benefitted areas of internet and its related progressive technologies. Smart tourism requires bringing together the various stakeholders in the tourism industry through a common platform of technology. This paper aims to provide an insight into this concept, we firstly introduce the technological foundation of smart tourism system, and then we propose an electronic ticketing system that can be is proposed to integrate the information of events that could interest tourist. The benefits and challenges which may occur or have occurred in the implementation of smart tourism are finally discussed.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128236917","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：