{"title":"Multimodal Spam Classification Using Deep Learning Techniques","authors":"Shikhar Seth, Sagar Biswas","doi":"10.1109/SITIS.2017.91","DOIUrl":"https://doi.org/10.1109/SITIS.2017.91","url":null,"abstract":"The internet has been beneficial to the society in ways more than one, the power to learn anything anywhere, the power to always be connected to the people you love. But as usual, there are two sides to coin. The E-mail system has been the backbone for communication between professionals for a very long time, but it is plagued by the unwanted influence of spam. In this paper we classify a mail into spam or not-spam (ham) by analyzing the whole content i.e. Image and Text, processing it through independent classifiers using Convolutional Neural Networks. We finally propose two hybrid multi-modal architectures by forging the image and text classifiers. Our experimental results outperform the current state-of-the-art methods and provide a new baseline for future research in the field","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132962972","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}
{"title":"Investigation of Specificity of Parkinson's Disease Features Obtained Using the Method of Cerebral Cortex Electrical Activity Analysis Based on Wave Trains","authors":"O. Sushkova, A. Morozov, A. Gabova","doi":"10.1109/SITIS.2017.37","DOIUrl":"https://doi.org/10.1109/SITIS.2017.37","url":null,"abstract":"In recent years, spindle-shaped electrical activity became interesting for researchers looking for new methods of time-frequency electroencephalogram (EEG) analysis. We call signals of this type as wave trains; a wave train (a wave packet) is an electrical signal that is localized in space, frequency, and time. Examples of wave trains in EEG are alpha, beta, and sleep spindles. We analyze any kinds of wave train electrical activity of the brain in a wide frequency range. We have developed a new method for analyzing wave train electrical activity of the cerebral cortex based on wavelet analysis and ROC analysis that enables to study the detailed time-frequency features of EEG in patients with neurodegenerative diseases such as Parkinson's disease (PD). The idea of the method is to find local maxima in a wavelet spectrogram and to calculate various characteristics describing these maxima (called wave trains): the leading frequency, the duration (the full-width on the half-maximum of the peak in the spectrogram, FWHM), the bandwidth (FWHM), the number of wave trains per second. Then we conduct statistical analysis of these characteristics. In our previous papers, frequency ranges were found where the quantity of wave trains per second differs between a group of patients in early stage of PD and a group of healthy volunteers. In this paper, the specificity of these PD features is investigated in comparison with the patients with essential tremor (ET).","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131245630","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}
{"title":"Virtual Reality and Recommendation System to Design Mobility System","authors":"Alex Gabriel, Mario Ortíz","doi":"10.1109/SITIS.2017.86","DOIUrl":"https://doi.org/10.1109/SITIS.2017.86","url":null,"abstract":"In the domain of urbanism and more particularly the design of mobility system, the end-users are poorly involved whereas they condition the success of new infrastructure. The generalization of policies for active mobility urges the importance of correctly design the system of mobility. The success goes through the consideration of end-user needs. However, there is always a gap between the needs of the users and reality. We assume that virtual reality can ease user-centered design approach by letting the users experiment the technical solutions. Although maps and mockup permit exchanges between designers and end-users to improve the final design, this research assume that immersive environment is more efficient. Virtual reality seems to be a relevant tool for a user-centered approach applied to mobility system. The difficulty remains providing the adapted information to the designers who are the responsible to make the decision of the solution. The aim is not only to use virtual reality in the design process but also suggests a methodology to imply users in the design process and assist the designer during the decision-making.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124546808","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}
{"title":"Spam Detection in Social Media Employing Machine Learning Tool for Text Mining","authors":"S. Sharmin, Zakia Zaman","doi":"10.1109/SITIS.2017.32","DOIUrl":"https://doi.org/10.1109/SITIS.2017.32","url":null,"abstract":"In recent time, online social networks have been affected by various unwanted threats. Although they provided us with an open platform to share our thoughts with others, however, due to misuse of this powerful resource, general users are in endangered condition. For example, YouTube has been used as a promotional ground by various artist to upload their music videos, movie trailers, etc. and viewers can post their opinion on them. Unfortunately, often malicious users use to post phishing website links, advertisements, and fraudulent information in the comments section, which may transmit viruses or malwares. So, these harmful comments need to be identified in order to continue flawless service of social media. In this study, we have been implemented several classification algorithm to sort out the spam comments on YouTube videos from the legitimate one, their performance measures have been analysed as well as performance of ensemble classifier over single classifier algorithm in the context of text classification has also been highlighted.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114840888","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}
Giuseppe Caggianese, M. Calabrese, Luigi Gallo, Giovanna Sannino, C. Vecchione
{"title":"Cardiac Surgery Rehabilitation System (CSRS) for a Personalized Support to Patients","authors":"Giuseppe Caggianese, M. Calabrese, Luigi Gallo, Giovanna Sannino, C. Vecchione","doi":"10.1109/SITIS.2017.24","DOIUrl":"https://doi.org/10.1109/SITIS.2017.24","url":null,"abstract":"For a successful rehabilitation after cardiac surgery, it is crucial to have a carefully personalized, structured, and supervised physiotherapy program. Due to erroneous or unsupervised physiotherapy, nearly 50% of surgeries fail. Researchers have tried to leverage advances in wearable sensors and motion tracking to build affordable, automated, and customizable rehabilitation systems that help both therapists and patients during physiotherapy sessions. In this paper, we present a patient-centered cardiac surgery rehabilitation system (CSRS) for the personalization of the patient's physiotherapy for the early post-operative period. The system has been designed to interconnect different acquisition sensors and to be distributed on different stations in order to be able to continuously monitor the patient's vital signs and evaluate her/his cognitive and motor abilities in real time.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127444010","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}
{"title":"Rattletale: Phase-Coherent Telekinetic Imaging to Detect Tattletale Signs of Structural Defects or Potential Failure","authors":"Steve Mann","doi":"10.1109/SITIS.2017.49","DOIUrl":"https://doi.org/10.1109/SITIS.2017.49","url":null,"abstract":"(Tele) kinetic imaging (e.g. kinetic sonar, radar, etc.) provides visuo-acoustic feedback in which subject matter undergoes vibrational or other acoustic stimulation and the response to the stimulation is imaged. Specifically, the imaging uses active sonar to cause microscopic vibrations in the subject matter, while a special kind of lock-in amplifier is used to image the effects of these microscopic vibrations. The effects of the vibrations are imaged using optical, radar, or sonar sensing. The method works in air (e.g. we can look at a wooden fence or circuit board and see which fence boards or components on the board are loose), or underwater (e.g. to look at ocean-going vessels underwater and see which of them are in danger of emminent failure). Kinetic imaging could be particularly useful in emergency preparedness, such as trying to navigate a safe path through a building or city just after an earthquake or terrorist attack.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129976118","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}
Abdourahman Houssein Ahmed, K. Kpalma, Abdoulkader Osman Guédi
{"title":"Human Detection Using HOG-SVM, Mixture of Gaussian and Background Contours Subtraction","authors":"Abdourahman Houssein Ahmed, K. Kpalma, Abdoulkader Osman Guédi","doi":"10.1109/SITIS.2017.62","DOIUrl":"https://doi.org/10.1109/SITIS.2017.62","url":null,"abstract":"Automatic moving object/Human detection in a video sequence is one of the most difficult problems in the field of image processing and computer vision. The HOG-SVM provides a detection windows that is not perfectly adjusted to the silhouette of the Human detected. It is possible to apply a postprocess based on background subtraction to improve the segmentation of the detection. In this paper, we present thus a detection method that improves results provided by HOG-SVM with a combination of mixture of Gaussian and background contours subtraction.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131075711","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}
{"title":"A Graph Matching Approach Based on Aggregated Search","authors":"Ghizlane Echbarthi, H. Kheddouci","doi":"10.1109/SITIS.2017.68","DOIUrl":"https://doi.org/10.1109/SITIS.2017.68","url":null,"abstract":"Graph datasets are commonly used in a broad range of application domains, which makes the graph querying a crucial task in order to fully exploit the knowledge within these datasets. Using approximate graph matching tools is usually preferred due to the noisy nature of graph datasets, with the aim of overcoming restrictive query answering. In this paper, we propose a novel approach for approximate graph matching using aggregated search, called Label and Structure Similarity Aggregated Search (LaSaS). LaSaS yields effective and efficient graph querying without having a fixed schema of the data graph through: (i) the use of the aggregated search strategy to raise the number of answers, (ii) the use of a new low-cost graph similarity metric that considers similarities of nodes labels and graphs structures to enable finding approximate matches.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115981485","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}
{"title":"Impact of Mobility on Community Sensing with Environment Sensors","authors":"Atanu Mandal, Sunanda Bose, N. Mukherjee","doi":"10.1109/SITIS.2017.71","DOIUrl":"https://doi.org/10.1109/SITIS.2017.71","url":null,"abstract":"In this paper we investigate the sustainability of sensor-cloud environment with privately owned mobile sensors. We present the results of the experiment that we have conducted with our sensors while driving for five and half hours to a rural village 216 kilo meter far from the city. Impact of mobility on transmission performance as well as on the sensed data has been studied.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121765608","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}
{"title":"Texture Representation Using Galois Field for Rotation Invariant Classification","authors":"S. Shivashankar, Medha Kudari, P. Hiremath","doi":"10.1109/SITIS.2017.48","DOIUrl":"https://doi.org/10.1109/SITIS.2017.48","url":null,"abstract":"A novel method for rotation invariant texture representation using Galois Field is proposed in this paper. Rotation invariance is accomplished due to the commutative and associative properties of Galois Field addition. The bin values of the normalized cumulative histogram for Galois Field operated image are considered as texture features which are inherently rotation invariant. These features are used for texture classification; K-Nearest Neighbour classifier is used for classification. The Brodatz, Mondial Marmi, Outex and Vectorial datasets are considered for experimentation of the proposed method. The experimental results are compared with Rotation Invariant Local Binary Pattern (RI LBP) and Log-Polar transform method. It is observed that the proposed texture representation is more effective as compared to other two methods.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128092452","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}