{"title":"Simulation of an Autonomous Vehicle Control System Based on Image Processing","authors":"Jorge Barrozo, V. Lazcano","doi":"10.1109/icfsp48124.2019.8938094","DOIUrl":"https://doi.org/10.1109/icfsp48124.2019.8938094","url":null,"abstract":"Control of autonomous vehicle is a developing subject in the computer vision community. Control of autonomous vehicles has many applications in city cars, transportation trucks and specially in agronomy industry. We present preliminary results of a proposed control system simulation for an autonomous terrestrial vehicle. Our goal is to use an autonomous vehicle for inspection of plantations in agriculture. We constructed a prototype vehicle with a 3D printer and two motors. This prototype vehicle was used to obtain a dynamic model and, with this model, we developed a controller for navigating the vehicle. The considered visual features are colors of images, specifically, we are interested in detecting road-color. We have constructed a detector based on the color histogram to determine whether a pixel belongs to the road-color class or not. Depending on the number of pixels that belongs to this class, in a region of interest, the controller takes action through the DC-motor of the vehicle. For this simulation, we used a synthetic video database, where objects move toward or away from the camera. We have tested our proposal with video sequences using the model jointly with the controller and we have demonstrated that our proposal can avoid obstacles that move on a straight line or located in random positions on the road. We have compared our proposal with other method based on gradient. Our proposal can perform better than the method based on gradient in this specific task and in the considered database.","PeriodicalId":162584,"journal":{"name":"2019 5th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"220 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134020254","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}
O. Chernoyarov, A. Salnikova, Inna A. Kirpicheva, A. Ostankov
{"title":"A Simple Method for Increasing the Equal-amplitude Non-uniform Linear Thinned Array Directivity","authors":"O. Chernoyarov, A. Salnikova, Inna A. Kirpicheva, A. Ostankov","doi":"10.1109/icfsp48124.2019.8938050","DOIUrl":"https://doi.org/10.1109/icfsp48124.2019.8938050","url":null,"abstract":"Calculating the distances between the elements of the non-uniform array is usually carried out through its parametric optimization using the computational algorithms. In this paper, a simplified method is introduced and tested for determining the distances between the neighboring elements of the equal-amplitude non-uniform linear array that provides a significant increase in the array directivity while preserving the array thinning. The developed method allows both choosing the element spacing on the non-uniform linear array aperture and ensuring an increase in the array directive gain without applying the computational algorithms.","PeriodicalId":162584,"journal":{"name":"2019 5th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116270596","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":"Fusing Multi-Sensor Measurements to Improve Heading Estimation using Kalman Gain for Indoors Smartphone Positioning Solutions","authors":"Haval D. Abdalkarim, H. Maghdid","doi":"10.1109/icfsp48124.2019.8938068","DOIUrl":"https://doi.org/10.1109/icfsp48124.2019.8938068","url":null,"abstract":"Technology progression in the last decades leads to many smartphone advancements, such as embedding variety of sensors for various measurement and applications. Positioning sensors (Accelerometer, Gyroscope, and Magnetometer) are one of the significant developments. Besides this, indoor positioning services on smartphones are the main advantage of these sensors. There are many indoor positioning applications, for instance; indoor navigation, asset tracking, controlling in warehouse, rescue operation, and entertainment applications. Nevertheless, precise position information through current positioning techniques is the main issue of these applications. The pedestrian dead reckoning (PDR) technique is one of the techniques in which the integration of onboard sensors is used for locating smartphones. Estimated distance, heading, and typical speed can be measured to determine the estimated position of the smartphone via using the PDR technique. The PDR technique offers a low positioning accuracy due to an existing unpredictable error of the embedded sensors. To solve this issue, fusing multi-sensors measurements is proposed, in this paper, to reduce the existing sensors drifts and errors. Further, the sensors' measurements with the previously estimated position are fused by using KALMAN Filter to determine the current location of the smartphone in each step of walking with higher accuracy. The obtained positioning accuracy through the proposed approach and based on trial experiments is 2 meters, which is equivalent to 10% improvement in comparison with state of the art.","PeriodicalId":162584,"journal":{"name":"2019 5th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129711081","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}
N. Ilyasova, A. Shirokanev, R. Paringer, A. Kupriyanov
{"title":"Biomedical Data Analysis Based on Parallel Programming Technology Application for Computation Features' Effectiveness","authors":"N. Ilyasova, A. Shirokanev, R. Paringer, A. Kupriyanov","doi":"10.1109/icfsp48124.2019.8938079","DOIUrl":"https://doi.org/10.1109/icfsp48124.2019.8938079","url":null,"abstract":"This paper proposes a technology for large biomedical data analyzing based on CUDA computation. The technology was used to analyze a large set of fundus images used for diabetic retinopathy automatic diagnostics. A highperformance algorithm has been developed to calculate effective textural characteristics for medical image analysis. During the automatic image diagnostics, the following classes were distinguished: thin vessels, thick vessels, exudates and healthy areas. The mentioned algorithm's efficiency study was conducted with 500×500-1000×1000 pixels images using a 12×12 dimension window. The relationship between the developed algorithm's acceleration and data sizes was demonstrated. The study showed that the algorithm effectiveness can be depends of certain characteristics of the image, as its clarity, the shape of exudate zone, the variability of blood vessels, and the optic disc's location.","PeriodicalId":162584,"journal":{"name":"2019 5th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"80 9-10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120892939","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":"Simple Decoded OFDM-QOSTBC Wireless System in the Presence of Nakagami Fading and Imperfect Channel Estimation","authors":"S. Alkhawaldeh, M. Nisirat","doi":"10.1109/icfsp48124.2019.8938074","DOIUrl":"https://doi.org/10.1109/icfsp48124.2019.8938074","url":null,"abstract":"In this paper, a simple decoded orthogonal frequency division multiplexing (OFDM) quasi orthogonal space time block coding (QOSTBC) wideband wireless system is proposed in the presence of Nakagami-m fading and imperfect channel state information (CSI). The proposed scheme preserves full diversity and full code rate with simple decoding complexity. The use of OFDM is to eliminate the problem of inter-symbol interference (ISI) caused by the frequency selectivity of the channel. Due to practical considerations, imperfect CSI is considered in this work to imitate real transmission scenarios. Simulation results show that in the case of Rayleigh fading and channel estimation error variance of 0, the proposed and the conventional schemes overlap. This shows the good capability of the OFDM technology on repealing the effect of ISI. In addition, it is noted that the performance improves as the Nakagami-m parameter increases. Moreover, it can be observed that as the imperfect estimation error variance increases the performance degrades.","PeriodicalId":162584,"journal":{"name":"2019 5th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127888596","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":"Assistive Wearable Technology for Mental Wellbeing: Sensors and Signal Processing Approaches","authors":"R. Haratian","doi":"10.1109/icfsp48124.2019.8938054","DOIUrl":"https://doi.org/10.1109/icfsp48124.2019.8938054","url":null,"abstract":"Assistive wearable technology for detecting experienced stress and recognizing user's emotion has the potential to play important role in enhancing user's mental wellbeing. The wearable device would be able to collect and monitor physiological and behavioral signals through noninvasive approaches and provide visual and haptic biofeedback. In addition, for treatment purposes in behavioral therapies continuous monitoring of physiological and behavioral signals are important. In this paper after discussing about the importance of such technologies and the need for them, we will discuss how stress and emotions have the potential to be recognized ambulatory in daily life through such technologies in real-time manner. The sensors and signal processing approaches which have the potential to achieve such goals are investigated as well. By the end, the comprehensive required features are summarized in order to address the need for assistive wearable technologies for enhancing mental wellbeing in daily life.","PeriodicalId":162584,"journal":{"name":"2019 5th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120894400","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":"Copyright","authors":"","doi":"10.1109/icfsp48124.2019.8938067","DOIUrl":"https://doi.org/10.1109/icfsp48124.2019.8938067","url":null,"abstract":"","PeriodicalId":162584,"journal":{"name":"2019 5th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"261 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122466717","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 500-MS/s 8-b Low Power High Speed Asynchronous SAR ADC in 40-nm CMOS","authors":"Bowen Ding, Peng Miao, Fei Li","doi":"10.1109/icfsp48124.2019.8938045","DOIUrl":"https://doi.org/10.1109/icfsp48124.2019.8938045","url":null,"abstract":"This paper presents a 500-MS/s 8-b single-channel asynchronous successive approximation register (SAR) analog-to-digital converter (ADC) that achieves low input frequency SNDR/SFDR of 45.89/58.9 dB, while the SNDR/SFDR near Nyquist is 44.75/58.8 dB with excellent power efficiency. The ADC adopts background digital detection with analog calibration techniques to correct offset mismatch. The high linearity is guaranteed by a kind of fast input bootstrapped circuits as the input switches. Furthermore, the proposed double-tail dynamic comparator and Set-and-Down structure capacitive digital-to-analog converter (CDAC) save the overall energy. The total power consumption is 0.61mW under a 1.1-V supply.","PeriodicalId":162584,"journal":{"name":"2019 5th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126857261","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":"Yet Another Network Steganography Technique Basedon TCP Retransmissions","authors":"Artur M. Brodzki, Jȩdrzej Bieniasz","doi":"10.1109/icfsp48124.2019.8938085","DOIUrl":"https://doi.org/10.1109/icfsp48124.2019.8938085","url":null,"abstract":"This paper introduces a new technique of network steganography using the TCP protocol retransmission mechanism. The method can use any user-generated network traffic as hidden transmission channel. It utilizes overwriting TCP segments payload without recalculating checksums. Therefore, a segment after reaching its target is considered incorrect and it can be taken over to extract hidden data. Despite that, the segment is normally retransmitted according to the protocol specification; thanks to this, normal user communication is not affected. Following this idea, the basic mechanisms of this technique were designed and implemented. The testbed environment was prepared to conduct the initial proof-of-concept experiments and to measure basic operational metrics. The average steganographic bandwidth at the level of 2 kB/s was achieved for the conditions ensuring the proper level of undetectability. Discussion of the method detection possibilities was carried out and the directions of research development in this area were presented.","PeriodicalId":162584,"journal":{"name":"2019 5th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125817187","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}
E. C. Marques, N. Maciel, L. Naviner, Hao Cai, Jun Yang, J. Cances, A. Kora, Michał Krzemiński, K. Szczypiorski, M. Seo, Jun Seong Lee, Sang Woo Kim, Minho Choi, R. Haratian, T. Timotijevic, H. Darawsheh, A. Tarczynski, Conghui Zhang, Ruiying He, Xiaoyu Zhang, Yongfeng Wei, Yaprak Eminaga, Adem Coskun, I. Kale, O. Chernoyarov, A. Faulgaber, A. Salnikova
{"title":"2019 5th International Conference on Frontiers of Signal Processing (ICFSP 2019)","authors":"E. C. Marques, N. Maciel, L. Naviner, Hao Cai, Jun Yang, J. Cances, A. Kora, Michał Krzemiński, K. Szczypiorski, M. Seo, Jun Seong Lee, Sang Woo Kim, Minho Choi, R. Haratian, T. Timotijevic, H. Darawsheh, A. Tarczynski, Conghui Zhang, Ruiying He, Xiaoyu Zhang, Yongfeng Wei, Yaprak Eminaga, Adem Coskun, I. Kale, O. Chernoyarov, A. Faulgaber, A. Salnikova","doi":"10.1109/icfsp48124.2019.8938090","DOIUrl":"https://doi.org/10.1109/icfsp48124.2019.8938090","url":null,"abstract":"Hyperspectral Classification","PeriodicalId":162584,"journal":{"name":"2019 5th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116716211","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}