Thibaud Berthomier, A. Mansour, L. Bressollette, F. Roy, D. Mottier
{"title":"Venous blood clot structure characterization using scattering operator","authors":"Thibaud Berthomier, A. Mansour, L. Bressollette, F. Roy, D. Mottier","doi":"10.1109/ICFSP.2016.7802960","DOIUrl":"https://doi.org/10.1109/ICFSP.2016.7802960","url":null,"abstract":"Deep venous thrombosis (DVT) occurs when a blood clot appear within a deep vein, usually in the legs. The main complication is pulmonary embolism (PE) which is the third cause of vascular death after myocardial infarction and cardiovascular event. DVT onset is multifactorial (immobilization, surgery, age, cancers, genetic variations) and it is mostly diagnosed via ultrasound. In our project, we are interested in a new approach, which consists in using ultrasound and elastography to assess the mechanical properties of blood clots and to identify the thrombosis triggering factors. This means characterizing its structure, establishing his age, the cause of its formation and the risk of PE. In this paper, we aim to analyze the clot texture using the scattering operator which combines wavelet transform convolutions with non-linear modulus and averaging operators. The scattering operator is showing promising results in signal processing and especially in image classification. Therefore, we will apply this operator to our database and discuss the results of our simulation at the end of this manuscript.","PeriodicalId":407314,"journal":{"name":"2016 2nd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127427591","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}
Thibaud Berthomier, A. Mansour, L. Bressollette, F. Roy, D. Mottier
{"title":"Deep Venous Thrombosis: Database creation and image preprocessing","authors":"Thibaud Berthomier, A. Mansour, L. Bressollette, F. Roy, D. Mottier","doi":"10.1109/ICFSP.2016.7802962","DOIUrl":"https://doi.org/10.1109/ICFSP.2016.7802962","url":null,"abstract":"Deep Venous Thrombosis (DVT) is a major national health problem. Its progression to a pulmonary embolism can lead to significant mortality. DVT is a frequent, severe and often under-recognized diagnosis for critically ill patient. Many factors can increase the risk of DVT: immobilization, cancer, age, surgery, previous DVT, hormone, thrombophilia, etc. Ultrasonography is mostly performed for its diagnosis because it is easy, immediate and non-invasive. In our project, the main goal is to determine the possible correlations between the blood clot structure and the DVT triggering factors. To characterize its structure, we decided to combine ultrasound and elastography imaging. The latter technique is already used to diagnose other diseases such as liver fibrosis and gives promising results to date animal blood clot. This paper explains how we create our database using Toshiba's system. Our data are screenshot images that have to be prepared for further processing such as texture characterization.","PeriodicalId":407314,"journal":{"name":"2016 2nd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"272 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122471668","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 Multi-threading approach to Secure VERIFYPIN","authors":"I. Frieslaar, B. Irwin","doi":"10.1109/ICFSP.2016.7802952","DOIUrl":"https://doi.org/10.1109/ICFSP.2016.7802952","url":null,"abstract":"This research investigates the use of a multi-threaded framework as a software countermeasure mechanism to prevent attacks on the verifypin process in a pin-acceptance program. The implementation comprises of using various mathematical operations along side a pin-acceptance program in a multi-threaded environment. These threads are inserted randomly on each execution of the program to create confusion for the attacker. Moreover, the research proposes a more improved version of the pin-acceptance program by segmenting the pro-gram. The conventional approach is to check each character one at a time. This research takes the verifying process and separates each character check into its individual thread. Furthermore, the order of each verified thread is randomised. This further assists in the obfuscation of the process where the system checks for a correct character. Finally, the research demonstrates it is able to be more secure than the conventional countermeasures of random time delays and insertion of dummy code.","PeriodicalId":407314,"journal":{"name":"2016 2nd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126726122","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}
Ge Gao, Maria Kyrarini, Mohammad Razavi, Xingchen Wang, A. Graser
{"title":"Comparison of Dynamic Vision Sensor-Based and IMU-based systems for ankle joint angle gait analysis","authors":"Ge Gao, Maria Kyrarini, Mohammad Razavi, Xingchen Wang, A. Graser","doi":"10.1109/ICFSP.2016.7802963","DOIUrl":"https://doi.org/10.1109/ICFSP.2016.7802963","url":null,"abstract":"Gait analysis is an important research field in neurodegenerative disease diagnosis. Various IMU-based and vision-based methods have been developed for measuring joint angles during walking process. Dynamic Vision Sensor (DVS) is a neuromorphic engineering product which outputs sequences of events describing the level of brightness change at the pixel level in an asynchronized manner, instead of discrete frames at a predefined frame rate. Due to its microsecond level resolution, DVS is regarded possessing a huge potential to dramatically increase the speed of sensing pipeline for various applications which traditional CMOS camera cannot fulfill. Hence, in this paper we introduce a novel system for gait analysis application; DVS and special markers are used to detect the ankle joint during walking and a method is developed to calculate the desired angle. Further, the robust locally weighted regression is employed as signal smoothing method to reduce the amount of noise. In order to evaluation its performance, an Inertial Measurement Unit (IMU)-based sensory system is also examined and compared in the same experiment and goniometer is used for providing the ground truth. By comparing the captured ankle joint angle trajectories using Dynamic Time Warping (DTW), DVS-based system appears to have higher accuracy in terms of ankle joint angle detection than IMU-based system.","PeriodicalId":407314,"journal":{"name":"2016 2nd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128775014","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":"Plant lesion characterization for disease recognition A Windows Phone application","authors":"N. Petrellis","doi":"10.1109/ICFSP.2016.7802948","DOIUrl":"https://doi.org/10.1109/ICFSP.2016.7802948","url":null,"abstract":"Intelligent systems can assist the diagnosis of a plant disease in early stages, allowing continuous plant monitoring. The most important symptoms of a disease include lesions, overdevelopment or underdevelopment of various parts of a plant, necrosis and deteriorated appearance. The color, area and the number of the lesions can often be used to determine the disease that has mortified a plant. A Windows Phone application capable of measuring the plant lesion features is described in this paper with an accuracy of approximately 90%. A reliable diagnosis can be performed by the measurement of the lesion features along with descriptive information provided by the user. Appropriate actions can be suggested to the user based on these measurements and the conclusions that the system can reach.","PeriodicalId":407314,"journal":{"name":"2016 2nd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131193866","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}
F. M. Maciel-Barboza, J. Sánchez-García, S. Armas-Jimenez, L. Soriano-Equigua
{"title":"Uplink and downlink user and antenna selection for mmWave full duplex multiuser systems","authors":"F. M. Maciel-Barboza, J. Sánchez-García, S. Armas-Jimenez, L. Soriano-Equigua","doi":"10.1109/ICFSP.2016.7802972","DOIUrl":"https://doi.org/10.1109/ICFSP.2016.7802972","url":null,"abstract":"Full-duplex (FD) is a very promising technique that offers the potential to double the spectral efficiency. In this paper, the achievable rate for uplink-downlink user and antenna selection in poor scattering channels of FD multiuser system is studied. The considered FD communication system consists of one FD multi-antenna base station (BS) and multiple half duplex (HD) single antenna mobile terminals (MTs). Simulation results show the achievable sum-rate for practical number of users in the system.","PeriodicalId":407314,"journal":{"name":"2016 2nd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124345443","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. Szczypiorski, Piotr Smietanka, D. Khadraoui, M. Seredynski
{"title":"Security framework with active defence system for vehicular ad hoc networks","authors":"K. Szczypiorski, Piotr Smietanka, D. Khadraoui, M. Seredynski","doi":"10.1109/ICFSP.2016.7802968","DOIUrl":"https://doi.org/10.1109/ICFSP.2016.7802968","url":null,"abstract":"This paper presents a comprehensive security framework designed for vehicular ad hoc networks (VANETs) to address problems related to traffic efficiency and public transport operations. The framework includes mechanisms for exchanging messages in a secured manner. Additionally, it provides means to monitor and to secure routing protocols, as well as to detect and remove untrusted nodes from the network.","PeriodicalId":407314,"journal":{"name":"2016 2nd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124703087","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}
P. Chuzel, A. Mansour, Julien Ognard, J. Gentric, L. Bressollette, D. Hamad, N. Betrouni
{"title":"Automatic clustering for MRI images, application on perfusion MRI of brain","authors":"P. Chuzel, A. Mansour, Julien Ognard, J. Gentric, L. Bressollette, D. Hamad, N. Betrouni","doi":"10.1109/ICFSP.2016.7802958","DOIUrl":"https://doi.org/10.1109/ICFSP.2016.7802958","url":null,"abstract":"Many studies have been made in order to propose automatic diagnostic in medical fields. This paper proposes a new approach to deal with the problem of spectral clustering for signal extracted from brain MRI images. The tool-chain developed during this study can be easily implemented for the extraction and the analysis of information from perfusion MRI. In order to prove this, a reliable program which can easily isolate healthy from any pathological tissues. Experimental results are shown and discussed.","PeriodicalId":407314,"journal":{"name":"2016 2nd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127144440","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":"The ecgFEAT toolbox for automated cardiovascular feature extraction and analysis","authors":"S. Schach, H. Traue, Dilana Hazer-Rau","doi":"10.1109/ICFSP.2016.7802959","DOIUrl":"https://doi.org/10.1109/ICFSP.2016.7802959","url":null,"abstract":"The presented work approaches the topic of method development for automated feature extraction and ECG analysis. The MATLAB-based toolbox ecgFEAT (ECG Feature Extraction and Analysis Toolbox) includes a comprehensive set of algorithms to extract temporal, morphological and statistical information for time analysis and heart rate variability (HRV) analysis. The implemented feature extraction concept provides optimized results that are embedded within a graphical interface for the representation of the performed analysis. An evaluation of the implemented algorithms was carried out using 20 subject-data from an experimental setup and could demonstrate the toolbox functionality. The ecgFEAT toolbox delivers important information for the study of the cardiac physiology and covers considerable potential for automated identification of cardiovascular reactivity to stress and emotional states.","PeriodicalId":407314,"journal":{"name":"2016 2nd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132894384","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":"Half iris biometric system based on HOG and LIOP","authors":"R. Malutan, S. Emerich, O. Pop, László Lefkovits","doi":"10.1109/ICFSP.2016.7802964","DOIUrl":"https://doi.org/10.1109/ICFSP.2016.7802964","url":null,"abstract":"Automatic iris recognition is becoming increasingly important technique for identity management and hence security. In the computer vision domain and mainly in the image recognition applications, the possibility to compare affined images, which could be distinguished just through small differences, is highly important. Using local image descriptors, similar images could be identified, although they are not part of the same scene or they have a changed parameter. Implemented systems show that HOG (Histogram of Oriented Gradients) and LIOP (Local Intensity Order Pattern) descriptors are promising for human recognition based on iris texture. Experimental results are reported on two public databases: UPOL and CASIA_V1.","PeriodicalId":407314,"journal":{"name":"2016 2nd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127618974","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}