{"title":"Overcoming Broadcast Storm Problem in a Vehicular Network","authors":"E. A. Feukeu, T. Zuva","doi":"10.1109/SITIS.2017.72","DOIUrl":"https://doi.org/10.1109/SITIS.2017.72","url":null,"abstract":"Vehicular Ad hoc Network (VANET) has become a very interesting technology for future generation vehicles. This is mainly due to its embedded and promising advantages which primarily include improvement of safety conditions on public road through exchange of critical safety messages amongst involved nodes. The success of VANET heavily relies on successful messages dissemination amongst involved vehicles. However, a successful message exchange can only be possible if the transmission medium is collision free. Under the Intelligent Transportation System (ITS), the cooperative Awareness messages (CAM) have to be transmitted at the rate of 10 Hz as per standard. To account for congestion management, the Distributed Congestion Control (DCC) mechanism was proposed. However, under higher node density, the DDC becomes inefficient and dramatically contribute to the deterioration of the VANET environment. The present work proposes a Dynamic Broadcast Storm Mitigation Algorithm (DBSMA) which can be used to combat the broadcast storm problem in a Vehicular Network (VN). Results from several simulations confirmed that the DBSMA has a potentiality to conquer the effect of broadcast storm by offering more than 150% improved efficiency against the DCC approach. Another advantage of the DBSMA is that it is simple to compute and easy to implement.","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":"127735616","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}
Yukino Ikegami, R. Knauf, E. Damiani, S. Tsuruta, Yoshitaka Sakurai
{"title":"Clause Anaphora Resolution of Japanese Demonstrative Determiner by Ontology Extension Using Distributed Expression of Words","authors":"Yukino Ikegami, R. Knauf, E. Damiani, S. Tsuruta, Yoshitaka Sakurai","doi":"10.1109/SITIS.2017.31","DOIUrl":"https://doi.org/10.1109/SITIS.2017.31","url":null,"abstract":"An anaphora is a type of expression whose reference depends upon another referential element. In order to become aware of situations or human intentions by natural language understanding, it is important to estimate correctly what anaphoric expressions indicate. In particular, an anaphora resolution for Japanese demonstrative determiners is critical to be aware of situation, context or a causal relationship in dialogue. Ontology-based similarity has been proposed as a way to identify referential elements; however, a method using ontology alone cannot resolve all anaphoric relations. This paper proposes an anaphora analysis method that uses semantic similarity between different parts-of-speech and conceptual dependency structure. This method specializes in resolving clause anaphoric. The evaluation of this method showed around 2% accuracy for resolving Japanese demonstrative determiner in balanced corpus.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"81 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":"126271186","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 Curvature Based Approach for the Automated Screening of Retinopathy of Prematurity in Preterm Infants","authors":"Sivakumar Ramachandran, V. Veena, R. John","doi":"10.1109/SITIS.2017.88","DOIUrl":"https://doi.org/10.1109/SITIS.2017.88","url":null,"abstract":"Retinopathy of Prematurity (ROP) is a curable retinal disorder which mainly affects premature infants. The early treatment of the disease starts with the diagnosis of Plus disease which is characterised by excessive tortuosity and dilation of the retinal blood vessels. The method used for the disease diagnosis involves a retinal specialist, to visually compare the fundus vasculature with a gold standard image. This technique often lead to errors due to inter expert variability in the final diagnostic decision. So there arises the need for a computer aided system for the early detection of the disease. In the presented work, the presence of ROP is investigated by evaluating the retinal blood vessel tortuosity in the fundus images using a curvature based method. The method includes vessel delineation using COSFIRE filters followed by quantification of its tortuosity. The developed system is tested on a private dataset consisting of 35 images. The result obtained shows that the reported system achieves a sensitivity and specificity of 0.88 and 0.94 respectively.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"259 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":"121142857","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":"An Integration of Myo Armbands and an Android-Based Mobile Application for Communication with Hearing-Impaired Persons","authors":"Malika Vachirapipop, Safra Soymat, Wasurat Tiraronnakul, Narit Hnoohom","doi":"10.1109/SITIS.2017.74","DOIUrl":"https://doi.org/10.1109/SITIS.2017.74","url":null,"abstract":"Hearing-impaired people or those with any other disabilities lack support and help. For the hearing-impaired, communication to the rest of the world is limited due to the limited number of interpreters. With our knowledge, this problem has motivated the researchers to create a medium to support these people and provide them with the ability to communicate freely in different situations. This paper includes two main actors; namely, Myo armbands and a mobile application. The Myo armbands capture muscular movements and send the captured frequency as an input to the Android-based mobile application in which then, through the embedded prediction model, the mapping of the input data occurs. Once the translation was completed, it was sent back to the mobile screen where the translation was displayed. The application was built to translate a total of six gestures, where they were then classified into three categories; namely, daily communication, illness and emergency situations. The accuracy of the application for being able to translate the gestures into the correct meaning was tested by 12 users and resulted in the accuracy of five out of six signs. The result has, however, shown some gestures to be confused with others. The gestures that were seen confused with each other was sorry and help. The reason for this confusion can be concluded in two main points. The first being too few data sets that were used for training, and second being the gestures had a close posture, i.e. the position, height and orientation of the hands. This problem was, however, able to be solved by gesture performance guidance.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"27 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":"131427406","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":"Visitor Assistant Tools Based on Machine Learning Approaches in Cultural Heritage Contexts","authors":"S. Cuomo, Ugo Chirico","doi":"10.1109/SITIS.2017.85","DOIUrl":"https://doi.org/10.1109/SITIS.2017.85","url":null,"abstract":"Nowadays, pervasive digital technologies, innovative tools, and fruition strategies are generally adopted in the Cultural Heritage (CH) field to improve the quality of services and to enhance visitor experiences. To these aims, expert systems based on learning approaches are specifically designed. In this paper we describe a machine learning approach, implemented in a software tool, that can be usefully used to assist and tov support visitors in cultural spaces. The deployed system architecture is deeply analysed and, finally, a study in CH context is reported.","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":"131279856","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 GPU-Parallel Algorithm for Fast Hybrid BFS-DFS Graph Traversal","authors":"A. Maratea, L. Marcellino, V. Duraccio","doi":"10.1109/SITIS.2017.80","DOIUrl":"https://doi.org/10.1109/SITIS.2017.80","url":null,"abstract":"It seems natural to use the GPUs (Graphical Processing Units) for performing analytics on big graphs, due to the notable boost in high performance computing that their introduction has determined and to the huge volume of connected data that is being gathered and processed nowadays. A parallel strategy to speed-up the visit of all nodes of a graph based on the precomputation of critical frontiers is proposed in this paper: step by step the critical frontiers are reused so that all threads work optimally. The resulting algorithm is an asynchronous hybrid between Breadth and Depth First Search (BFS and DFS), called HBDFS. Tests with both real and synthetic heterogeneous datasets show a consistent dominance of the proposed approach over the baseline parallel BFS, achieving up to a 30 times speed-up with just a 20% memory overhead","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"19 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":"122930425","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}
K. Kurashige, S. Tsuruta, Eriko Sakurai, Yoshitaka Sakurai, R. Knauf, E. Damiani
{"title":"Design of Counseling Robot for Production by 3D Printer","authors":"K. Kurashige, S. Tsuruta, Eriko Sakurai, Yoshitaka Sakurai, R. Knauf, E. Damiani","doi":"10.1109/SITIS.2017.20","DOIUrl":"https://doi.org/10.1109/SITIS.2017.20","url":null,"abstract":"Nowadays, a lot of IT personnel have psychological distress. Meanwhile, counselors to help them are lack in number. To solve the problem, we proposed a counseling agent (CA) called CRECA (context respectful counseling agent). CRECA listens to clients and promotes their reflection context respectfully namely in a context preserving way. This agent can be enhanced using a body language called “unazuki” in Japanese, a kind of “nodding” to greatly promote dialogue, often accompanying “un-un” (meaning “exactly”) of Japanese onomatopoeia. This body language is expected to significantly help represent empathy or entire approval. In this paper, the agent is integrated with such a “unazuki” or “dialog promotion nodding” robot to continue the conversation naturally or context respectfully towards clients' further reflection. To realize such “unazuki”, the robot nods twice at each end of dialog sentence input by clients. Here, we introduce our newly developed robot that behaves human-like by an appropriate nodding behavior. The main motivation for developing a more human-like robot was the extension of application fields from IT workers' counselling to people, who suffers from more social problems such as financial debt, or anxiety of victory or defeat. For such applications, it is often very important that the agent behaves as much as possible human-like. Finally, we present the experimental evaluation results that proves such nodding is effective in counseling.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"23 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":"114130307","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":"Generalised Spatio Temporal Feature Based Important Activity Synopsis Generation","authors":"Tapas Badal, N. Nain, Mushtaq Ahmed","doi":"10.1109/SITIS.2017.60","DOIUrl":"https://doi.org/10.1109/SITIS.2017.60","url":null,"abstract":"Traditional video analysis methods can generate summary of day's long videos. While generating synopsis video maintaining the motion structure of important activities present in a video sequence is of great concern in research communities and industry. In this paper, we present an automatic and scalable approach for automatic detection of important activities in a video based on different spatiotemporal criteria used as a signature. To maintain the important context cues we propose an online motion structure preserved synopsis approach, which can retain the behavior interactions between different objects in an original video while condensing as much content as possible. A hierarchical fashion is employed to efficiently search important activities present in a video sequence, and generating synopsis video of those important activities in which both the spatial collision and the temporal consistency are considered. Experimental results on numerous (six) video sequences demonstrate the promise of the proposed approach.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"196 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":"123075448","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":"Analysing Acceleration for Motion Analysis","authors":"Y. Sun, Jonathon S. Hare, M. Nixon","doi":"10.1109/SITIS.2017.56","DOIUrl":"https://doi.org/10.1109/SITIS.2017.56","url":null,"abstract":"Previous research in motion analysis of image sequences has generally not considered the basic nature of higher orders of motion such as acceleration. In this work, we disambiguate different types of motion, and in particular focus on acceleration. First, we show acceleration can be computed in a principled manner by extending Horn and Schunck's algorithm for global optical flow estimation. We then demonstrate an approximation of the acceleration field using an alternative established optical flow technique, since most real motions violate the global smoothness assumption of Horn and Schunck. Furthermore, we decompose acceleration into radial and tangential components for greater depth of understanding of the motion. As a general motion descriptor, we show how acceleration provides the capability for differentiating different types of motion in video sequences","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"7 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":"129037500","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":"Identifying Behavioral Design Flaws in Evolving Object-Oriented Software Using an Ontology-Based Approach","authors":"S. Mekruksavanich","doi":"10.1109/SITIS.2017.76","DOIUrl":"https://doi.org/10.1109/SITIS.2017.76","url":null,"abstract":"It is a demanding process when safeguarding superiority in software development and preservation. Understanding of reoccurring problems to enhance the quality of existing and future software development is employed in the concept of design flaws. Recurring bad design solutions or error-free source codes comprise design flaws, which are hard to comprehend and sustain. Eliminating these flaws without modifying a programs functionality while enhancing program quality at the same time are the goals of code refactoring. To identify some flaws from source code, several rules-based and metrics-based approaches can be used. However, information and consideration of these indicators of low quality software remain insufficient to answer the numerous issues they signify. An ontology-based method is offered in this research to reinforce design flaws detection. Describing the concepts and related properties of design flaws is supported by ontology. A universal understanding of these concepts among those in the software community is fostered by an ontological infrastructure. Further, it gives more succinct definitions that can prevent intersecting and inconstant accounts. When declarative meta-programming is used, detection is carried out at the meta-level. To identify various design flaws that have previously been well documented, this research employs the approach detailed. The approach is effective for detecting such flaws, as substantiated by the findings.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"44 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":"133676164","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}