Giuseppe Aceto, Antonio Montieri, V. Persico, A. Pescapé, V. D’Argenio, F. Salvatore, L. Pastore
Continuous improvements on Next-Generation Sequencing approaches are providing a wealth of data for life sciences, and massive application of ICT (Information and Communication Technologies) to molecular research has become essential for the progress of medical research. While several software tools have been developed to assist in analysis, there is still a lack of a focused and integrated solution for several of specific research goals. One such goal is molecular diagnostics of Breast Cancer (BC), the most common malignancy in females. In this paper we present, describe, and evaluate experimentally— on real data—part of a software pipeline we have designed, and are implementing, specifically aimed at assisting in BC diagnostics. The results show that the pipeline is effective in assisting and enhancing BC diagnostics, and encourage towards further automation.
{"title":"A First Look at an Automated Pipeline for NGS-Based Breast-Cancer Diagnosis: The CArDIGAN Approach","authors":"Giuseppe Aceto, Antonio Montieri, V. Persico, A. Pescapé, V. D’Argenio, F. Salvatore, L. Pastore","doi":"10.1109/SITIS.2016.86","DOIUrl":"https://doi.org/10.1109/SITIS.2016.86","url":null,"abstract":"Continuous improvements on Next-Generation Sequencing approaches are providing a wealth of data for life sciences, and massive application of ICT (Information and Communication Technologies) to molecular research has become essential for the progress of medical research. While several software tools have been developed to assist in analysis, there is still a lack of a focused and integrated solution for several of specific research goals. One such goal is molecular diagnostics of Breast Cancer (BC), the most common malignancy in females. In this paper we present, describe, and evaluate experimentally— on real data—part of a software pipeline we have designed, and are implementing, specifically aimed at assisting in BC diagnostics. The results show that the pipeline is effective in assisting and enhancing BC diagnostics, and encourage towards further automation.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116518188","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}
Area restriction for data center using authentication should have high accuracy for access control, use less time for verification, and can handle a huge number of loads. This paper proposes a discrete cosine transform (DCT) with embedded watermark using QR Code for authentication of data center. In a traditional QR Code, the plaintext is converted to the image. However, the watermarking based DCT provides more security in authentication since the ciphertext is converted to the image. The experiment tested with 100 users, each user is authenticated for 5 times in two data centers. The results show that the system has high accuracy at 98.8%.
{"title":"Integration of Watermarking and QR Code for Authentication of Data Center","authors":"Patiyuth Pramkeaw, Thittaporn Ganokratanaa, Siriruang Phatchuay","doi":"10.1109/SITIS.2016.111","DOIUrl":"https://doi.org/10.1109/SITIS.2016.111","url":null,"abstract":"Area restriction for data center using authentication should have high accuracy for access control, use less time for verification, and can handle a huge number of loads. This paper proposes a discrete cosine transform (DCT) with embedded watermark using QR Code for authentication of data center. In a traditional QR Code, the plaintext is converted to the image. However, the watermarking based DCT provides more security in authentication since the ciphertext is converted to the image. The experiment tested with 100 users, each user is authenticated for 5 times in two data centers. The results show that the system has high accuracy at 98.8%.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114459152","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}
A. Flora, M. Vincenzo, Picariello Antonio, Sperlí Giancarlo
In this paper, we propose a novel data model for Multimedia Social Networks, i.e. particular social media networks that combine information on users belonging to one or more social communities together with the multimedia content that is generated and used within the related environments. The proposed model relies on the hypergraph data structure to capture and represent in a simple way all the different kinds of relationships that are typical of social media networks, and in particular among multimedia contents, users and multimedia content and users themselves. We also introduce some user and multimedia ranking functions to enable different applications. Finally, some experiments concerning effectiveness of the approach for supporting multimedia information retrieval activities are reported and discussed.
{"title":"Modeling User-Content Interaction in Multimedia Social Networks Using Hypergraphs","authors":"A. Flora, M. Vincenzo, Picariello Antonio, Sperlí Giancarlo","doi":"10.1109/SITIS.2016.62","DOIUrl":"https://doi.org/10.1109/SITIS.2016.62","url":null,"abstract":"In this paper, we propose a novel data model for Multimedia Social Networks, i.e. particular social media networks that combine information on users belonging to one or more social communities together with the multimedia content that is generated and used within the related environments. The proposed model relies on the hypergraph data structure to capture and represent in a simple way all the different kinds of relationships that are typical of social media networks, and in particular among multimedia contents, users and multimedia content and users themselves. We also introduce some user and multimedia ranking functions to enable different applications. Finally, some experiments concerning effectiveness of the approach for supporting multimedia information retrieval activities are reported and discussed.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130354083","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}
Yukiko Yamamoto, Takashi Kawabe, S. Tsuruta, E. Damiani, A. Yoshitaka, Yoshiyuki Mizuno, Yoshitaka Sakurai, R. Knauf
In online business, it is important to construct sale web pages offering attractive services for popular products in order to improve page access as well as purchase rates. Moreover, online shop owners need to hold various types of sales frequently throughout the year to keep customers coming back. Also, online shopping systems have to adapt to its circumstances such as customers' needs and the surrounding economic situations. To cope with this, a self-organized IoT aware system is proposed. Here, awareness is achieved by monitoring / analyzing the data of user's behavior such as gazing, listening, smelling etc. The focus here is the analysis of such as users' eye gaze, listening /smelling activity etc. The aim is to derive insights about products the user is interested in or not and to adapt the system accordingly. This is achieved by presenting product information including sales associates' presence, their voice, and product's smell or even other products with similar attributes, by hiding products with less interesting attributes and by building a user's interest model through integrating all the positive preferences.
{"title":"Enhanced IoT-Aware Online Shopping System","authors":"Yukiko Yamamoto, Takashi Kawabe, S. Tsuruta, E. Damiani, A. Yoshitaka, Yoshiyuki Mizuno, Yoshitaka Sakurai, R. Knauf","doi":"10.1109/SITIS.2016.14","DOIUrl":"https://doi.org/10.1109/SITIS.2016.14","url":null,"abstract":"In online business, it is important to construct sale web pages offering attractive services for popular products in order to improve page access as well as purchase rates. Moreover, online shop owners need to hold various types of sales frequently throughout the year to keep customers coming back. Also, online shopping systems have to adapt to its circumstances such as customers' needs and the surrounding economic situations. To cope with this, a self-organized IoT aware system is proposed. Here, awareness is achieved by monitoring / analyzing the data of user's behavior such as gazing, listening, smelling etc. The focus here is the analysis of such as users' eye gaze, listening /smelling activity etc. The aim is to derive insights about products the user is interested in or not and to adapt the system accordingly. This is achieved by presenting product information including sales associates' presence, their voice, and product's smell or even other products with similar attributes, by hiding products with less interesting attributes and by building a user's interest model through integrating all the positive preferences.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128183011","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}
Unfortunately, there is very little opportunity for disabled people to get a job, especially for the visually impaired. Most of them survive by selling lottery tickets but it is difficult for the visually impaired to know the digits on a lottery ticket or the results. This paper presents an algorithm to recognize lottery digits and development of an application to read and check the lottery digits. This is achieved by using the Tesseract OCR engine in a mobile application. The procedure includes the following, adaptive thresh holding, connected component analysis, location of text lines and digits, recognition of digits pass 1 and pass 2. The operation of the application will result in 6 digits scanned from the lottery ticket. Then each generated digit will be played through a prerecorded voice. The results of Alpha and Beta testing with 100 sample tickets showed efficacy of recognition and prize checking at 98.05% and 100% respectively. In conclusion, the results showed that the application has a good accuracy level and can be use in a real world scenario successfully.
{"title":"Recognition of Lottery Digits Using OCR Technology","authors":"Sakchai Tangwannawit, Wanida Saetang","doi":"10.1109/SITIS.2016.105","DOIUrl":"https://doi.org/10.1109/SITIS.2016.105","url":null,"abstract":"Unfortunately, there is very little opportunity for disabled people to get a job, especially for the visually impaired. Most of them survive by selling lottery tickets but it is difficult for the visually impaired to know the digits on a lottery ticket or the results. This paper presents an algorithm to recognize lottery digits and development of an application to read and check the lottery digits. This is achieved by using the Tesseract OCR engine in a mobile application. The procedure includes the following, adaptive thresh holding, connected component analysis, location of text lines and digits, recognition of digits pass 1 and pass 2. The operation of the application will result in 6 digits scanned from the lottery ticket. Then each generated digit will be played through a prerecorded voice. The results of Alpha and Beta testing with 100 sample tickets showed efficacy of recognition and prize checking at 98.05% and 100% respectively. In conclusion, the results showed that the application has a good accuracy level and can be use in a real world scenario successfully.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130040478","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}
Davide Pantile, Roberto Frasca, Antonio Mazzeo, Matteo Ventrella, Giovanni Verreschi
This paper will describe the multimedia solutions designed and developed by ETT S.p.A. for four different clients and will explain the potential of the use of technology in museum and tourist attractions, as well as the variety of solutions available on the market. Starting from a theoretical analysis on the shift from the idea of a collection-oriented museum to that of a visitor-oriented one, we shall illustrate a storytelling approach based on, and using, Immersive Visitor Engagement Technology. We shall also describe a series of practical examples and case histories of ETT projects in the museum sector. Particular emphasis is placed on Augmented Reality, Virtual Reality, and Immersive 3D Projection projects.
{"title":"New Technologies and Tools for Immersive and Engaging Visitor Experiences in Museums: The Evolution of the Visit-Actor in Next-Generation Storytelling, through Augmented and Virtual Reality, and Immersive 3D Projections","authors":"Davide Pantile, Roberto Frasca, Antonio Mazzeo, Matteo Ventrella, Giovanni Verreschi","doi":"10.1109/SITIS.2016.78","DOIUrl":"https://doi.org/10.1109/SITIS.2016.78","url":null,"abstract":"This paper will describe the multimedia solutions designed and developed by ETT S.p.A. for four different clients and will explain the potential of the use of technology in museum and tourist attractions, as well as the variety of solutions available on the market. Starting from a theoretical analysis on the shift from the idea of a collection-oriented museum to that of a visitor-oriented one, we shall illustrate a storytelling approach based on, and using, Immersive Visitor Engagement Technology. We shall also describe a series of practical examples and case histories of ETT projects in the museum sector. Particular emphasis is placed on Augmented Reality, Virtual Reality, and Immersive 3D Projection projects.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132262427","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 paper presents a study of spectral entropy analysis on speech for the possible prediction of depression in speakers who are at risk of committing suicide, when the symptom of depression strikes, unless admitted and having a proper treatment in time. Prediction is primarily necessary task to prevention of that life-threatening risk. In this study the full-band and further sub-band entropies of eight evenly separated frequency bands of 625 Hz estimated from the female voiced segments were computationally extracted and consequently used to form the parameter models for between-group classifications. The average of correct classification is considered to be fairly high when training a ML classifier with the 35% of extracted sample database and testing it again with the rest of sample database. As result shown, the classifying percentage obtained from study has suggested the higher frequency sub-band entropies extracted from spoken sound capable of being group discrimination between two categorized speakers.
{"title":"Spectral Entropy in Speech for Classification of Depressed Speakers","authors":"T. Yingthawornsuk","doi":"10.1109/SITIS.2016.113","DOIUrl":"https://doi.org/10.1109/SITIS.2016.113","url":null,"abstract":"This paper presents a study of spectral entropy analysis on speech for the possible prediction of depression in speakers who are at risk of committing suicide, when the symptom of depression strikes, unless admitted and having a proper treatment in time. Prediction is primarily necessary task to prevention of that life-threatening risk. In this study the full-band and further sub-band entropies of eight evenly separated frequency bands of 625 Hz estimated from the female voiced segments were computationally extracted and consequently used to form the parameter models for between-group classifications. The average of correct classification is considered to be fairly high when training a ML classifier with the 35% of extracted sample database and testing it again with the rest of sample database. As result shown, the classifying percentage obtained from study has suggested the higher frequency sub-band entropies extracted from spoken sound capable of being group discrimination between two categorized speakers.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133838678","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}
What is examined in drawing therapy is the picture contents of a client's drawing. Aiming at computer-aided drawing therapy, this paper deals with an image processing technique for extracting the whole region which represents the contents from a pastel drawing. A handwritten pastel drawing often has a distinguishing feature of coarse textures, which make the image segmentation by simple thresholding difficult. Also, the picture contents of a drawing can be usually interpreted in various ways. Considering these points leads to a method for determining the whole region of picture contents in a pastel drawing image so that the requirements of the practice of drawing therapy can be met. In the method, first, painted pixels are obtained by thresholding. Then, the set of the pixels are fused by morphological processing, and thereby the region boundary is closed. The method has variables in each processing so that the resulting region can be varied. Experimental results demonstrate how effectively each variable performs in varying the figure of a resulting region according to the interpretation of picture contents.
{"title":"Image Segmentation of Pastel Drawings","authors":"S. Maeda, Yuma Hijioka, T. Kimoto, Chieko Kato","doi":"10.1109/SITIS.2016.33","DOIUrl":"https://doi.org/10.1109/SITIS.2016.33","url":null,"abstract":"What is examined in drawing therapy is the picture contents of a client's drawing. Aiming at computer-aided drawing therapy, this paper deals with an image processing technique for extracting the whole region which represents the contents from a pastel drawing. A handwritten pastel drawing often has a distinguishing feature of coarse textures, which make the image segmentation by simple thresholding difficult. Also, the picture contents of a drawing can be usually interpreted in various ways. Considering these points leads to a method for determining the whole region of picture contents in a pastel drawing image so that the requirements of the practice of drawing therapy can be met. In the method, first, painted pixels are obtained by thresholding. Then, the set of the pixels are fused by morphological processing, and thereby the region boundary is closed. The method has variables in each processing so that the resulting region can be varied. Experimental results demonstrate how effectively each variable performs in varying the figure of a resulting region according to the interpretation of picture contents.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133719038","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}
Maria Mercorella, Mario Ciampi, M. Esposito, A. Esposito, G. Pietro
In the last decades, many standards, such as HL7 V2 and V3, have been proposed for the encoding of clinical documents with the purpose of ensuring syntactic and semantic interoperability among heterogeneous health information systems. Recently, HL7 has defined the new standard FHIR in response to limitations existing in HL7 V2 and V3. In Italy, CDA 2 is the reference standard for the storage of clinical documents. In order to encourage FHIR widespread getting its benefits, we propose an architectural model able to i) receive a query about clinical data contained in a CDA document, ii) identify required information, and iii) present it as a FHIR resource, on the basis of several CDA to FHIR mapping schemas. We focus on the information extraction from the Italian Patient Summary, a collection of the patient's most significant clinical data. This choice emphasizes the advantages of using FHIR standard due to the possibility of extracting granular information of clinical interest from a full document.
{"title":"An Architectural Model for Extracting FHIR Resources from CDA Documents","authors":"Maria Mercorella, Mario Ciampi, M. Esposito, A. Esposito, G. Pietro","doi":"10.1109/SITIS.2016.99","DOIUrl":"https://doi.org/10.1109/SITIS.2016.99","url":null,"abstract":"In the last decades, many standards, such as HL7 V2 and V3, have been proposed for the encoding of clinical documents with the purpose of ensuring syntactic and semantic interoperability among heterogeneous health information systems. Recently, HL7 has defined the new standard FHIR in response to limitations existing in HL7 V2 and V3. In Italy, CDA 2 is the reference standard for the storage of clinical documents. In order to encourage FHIR widespread getting its benefits, we propose an architectural model able to i) receive a query about clinical data contained in a CDA document, ii) identify required information, and iii) present it as a FHIR resource, on the basis of several CDA to FHIR mapping schemas. We focus on the information extraction from the Italian Patient Summary, a collection of the patient's most significant clinical data. This choice emphasizes the advantages of using FHIR standard due to the possibility of extracting granular information of clinical interest from a full document.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133731848","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}
No-reference quality assessment is a challenging issue due to the non-existence of any information related to the reference and the unknown distortion type. The main goal is to design a computational method to objectively predict the human perceived quality of a distorted mesh and deal with the practical situation when the reference is not available. In this work, we design a no reference method that relies on the general regression neural network (GRNN). Our network is trained using the mean curvature which is an important perceptual feature representing the visual aspect of a 3D mesh. Relatively to the human subjective scores, the trained network successfully assesses the visual quality, in addition, the experimental results show that the proposed method provides good correlations with the subject scores and competitive scores comparing to some influential and effective full and reduced reference existing metrics.
{"title":"A Curvature Based Method for Blind Mesh Visual Quality Assessment Using a General Regression Neural Network","authors":"Ilyass Abouelaziz, M. Hassouni, H. Cherifi","doi":"10.1109/SITIS.2016.130","DOIUrl":"https://doi.org/10.1109/SITIS.2016.130","url":null,"abstract":"No-reference quality assessment is a challenging issue due to the non-existence of any information related to the reference and the unknown distortion type. The main goal is to design a computational method to objectively predict the human perceived quality of a distorted mesh and deal with the practical situation when the reference is not available. In this work, we design a no reference method that relies on the general regression neural network (GRNN). Our network is trained using the mean curvature which is an important perceptual feature representing the visual aspect of a 3D mesh. Relatively to the human subjective scores, the trained network successfully assesses the visual quality, in addition, the experimental results show that the proposed method provides good correlations with the subject scores and competitive scores comparing to some influential and effective full and reduced reference existing metrics.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133795000","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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