{"title":"Circadian phase control: Genetic algorithm and non-linear control approach","authors":"P. Vo-Tan, L. Ton-That, F. M. Janerio","doi":"10.1109/ATC.2016.7764781","DOIUrl":"https://doi.org/10.1109/ATC.2016.7764781","url":null,"abstract":"This paper deals with the phase control for Neurospora circadian rhythm. The nonlinear control, given by tuning the parameters (considered as controlled variables) in Neurospora dynamical model, allows the circadian rhythms tracking a reference one. When there are many parameters (e.g. 3 parameters in this paper) and their values are unknown, the adaptive control law reveals its weakness since the parameters converging and control objective must be guaranteed at the same time. We show that this problem can be solved using the genetic algorithm for parameters estimation. Once the unknown parameters are known, the phase control is performed by chaos synchronization technique.","PeriodicalId":225413,"journal":{"name":"2016 International Conference on Advanced Technologies for Communications (ATC)","volume":"36 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":"132192564","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}
M. Dinh, Long Vuong Tung, Xiem Hoang Van, D. Trieu, Tung Pham Thanh, Ha Le Thanh
{"title":"Improving 3D-TV view synthesis using motion compensated temporal interpolation","authors":"M. Dinh, Long Vuong Tung, Xiem Hoang Van, D. Trieu, Tung Pham Thanh, Ha Le Thanh","doi":"10.1109/ATC.2016.7764796","DOIUrl":"https://doi.org/10.1109/ATC.2016.7764796","url":null,"abstract":"Nowadays, the development of three-dimension (3D) video applications such as three-dimensional television (3D-TV) and free-viewpoint television (FTV) has greatly increased human experiences. View synthesis method like depth-image-based-rendering (DIBR), plays a significant role in 3D content creation, 3D transmission, and has been integrated into video coding standards such as 3D-High efficiency video coding (3D-HEVC). However, the current DIBR method employs only the disparity correlation between views to create a so-called synthesized view; thus, unable to take full advantages of available synthesized information. In this paper, we propose a novel view synthesis method which takes advantages of not only the disparity correlation but also the temporal correlation between views. In the proposed method, an effective motion compensation based frame interpolation is employed to generate a temporal prediction view which is then combined with the DIBR rendered view to obtain the final synthesized view. Experimental results show that the proposed method can achieve the synthesized view with significantly outperforming other conventional techniques in terms of both peak signal-to noise ratio (PSNR) and subjective visual quality.","PeriodicalId":225413,"journal":{"name":"2016 International Conference on Advanced Technologies for Communications (ATC)","volume":"26 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":"133831939","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":"Design of density tapered array for arbitrary density distribution","authors":"N. Binh, N. Dinh, Yoshihide Yamada, N. Michishita","doi":"10.1109/ATC.2016.7764808","DOIUrl":"https://doi.org/10.1109/ATC.2016.7764808","url":null,"abstract":"Density tapered array has a feature of having uniform excitations in all array elements. Then, a feeding network becomes very simple and array antenna will be applied for multi frequency operations. In this paper, a MATLAB program of achieving arbitrary density tapered distributions is developed. For example, the density distribution of cosine on a pedestal is designed. Moreover, radiation patterns in the wide range of frequencies are investigated. For the frequency change from 900 MHz to 2500 MHz, low side lobe levels are kept unchanged.","PeriodicalId":225413,"journal":{"name":"2016 International Conference on Advanced Technologies for Communications (ATC)","volume":"87 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":"133852582","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":"Keynote talk #3: Quantifying and extracting visual information from mobile devices","authors":"M. Do","doi":"10.1109/ATC.2016.7764749","DOIUrl":"https://doi.org/10.1109/ATC.2016.7764749","url":null,"abstract":"Due to advancement in minimization and mass-production, cameras are ubiquitously embedded in most of current mobile devices including phones, vehicles, robots, and augmented-reality displays. These mobile cameras are cheap and can gather in real-time large amounts of streaming data about the surrounding environment. Using an information-theoretic model of a streaming video captured by a mobile camera, we precisely characterize the information rates of this captured data. These results support a holistic approach that combines geometric reconstruction with semantic recognition for visual perception of dynamic environment. We then highlight several work in our group following this approach for extracting visual information from mobile devices including camera pose estimation, 3D environment mapping, and object localization and recognition.","PeriodicalId":225413,"journal":{"name":"2016 International Conference on Advanced Technologies for Communications (ATC)","volume":"19 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":"114412084","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":"Maximal frequent sequences for document classification","authors":"Hai Nguyen Thi Tuyet, Tan Hanh","doi":"10.1109/ATC.2016.7764764","DOIUrl":"https://doi.org/10.1109/ATC.2016.7764764","url":null,"abstract":"Document Classification has attracted several attentions from researchers due to the increase of digital form documents and the need of these documents' organization. One of the most popular approaches to deal with this problem is based on machine learning techniques [1]. However, the result of classification much depends on the linguistic preprocess and the document representation. The dependence is more obvious to languages whose blanks are used to separate not only words but also syllables that constitute words such as Vietnamese, Chinese language. In this paper, we propose a language-independent classifier relied on a flexible feature called Maximal Frequent Sequences (MFSs) [2]. In addition, we design and implement a novel algorithm to find MFSs. Our algorithm follows the MFS definition of H. Ahonen-Myka [2] and ignores the expensive pruning phrase. The experiments shows that our classifying approach achieves the average 85.16% and 89.27% F-measure on 7 classes of the common dataset Reuters-21578 and 5 classes of Vietnamese documents, respectively.","PeriodicalId":225413,"journal":{"name":"2016 International Conference on Advanced Technologies for Communications (ATC)","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":"128769876","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":"Frequency-domain spatial modulation","authors":"Hernán F. Arraño, H. Sari, Chien-Chun Cheng","doi":"10.1109/ATC.2016.7764834","DOIUrl":"https://doi.org/10.1109/ATC.2016.7764834","url":null,"abstract":"Spatial modulation (SM) is a multiple-input multiple-output (MIMO) technique, which was introduced for wireless communication systems in which the number of transmit RF chains is smaller than the number of antennas. The basic principle in this technique is to select transmit antennas using information bits and transmit data symbols from these antennas. Obviously, SM involves symbol-rate antenna switching, which leads to serious problems and degradations in practice due to the non-rectangular pulse shaping used. Combining SM with orthogonal frequency-division multiplexing (OFDM) leads to what we call Frequency-Domain SM (FDSM). This technique avoids antenna switching and eliminates the related problems. However, the number of RF chains required to implement it is no longer smaller than the number of transmit antennas, but the power requirements are reduced as compared to conventional MIMO/OFDM. In this paper, we investigate the requirements in terms of high-power amplifiers and we introduce a Balanced FDSM scheme, which further reduces these requirements.","PeriodicalId":225413,"journal":{"name":"2016 International Conference on Advanced Technologies for Communications (ATC)","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":"129122233","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":"Musicbot: Edutainment with a reconfigurable robotic system","authors":"Le Van Tung, Pham Duy Hung, T. Ngo","doi":"10.1109/ATC.2016.7764826","DOIUrl":"https://doi.org/10.1109/ATC.2016.7764826","url":null,"abstract":"Approaching a new study subject could be a problem to everyone, especially children. In particular, children might lose the interest when learning music due to their lacking fundamental knowledge. Using tangible programming on modular robotics may be an effective way for teaching and learning music. In this paper, we present an education and entertainment design, so-called learning through playing, through a real-world musical application using modular robotics.","PeriodicalId":225413,"journal":{"name":"2016 International Conference on Advanced Technologies for Communications (ATC)","volume":"29 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":"126692738","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":"Fuzzy-based treadmill speed control for lower extremity rehabilitation of patient after stroke","authors":"H. Nguyen, A. Hoang, V. Nguyen, V. Nguyen","doi":"10.1109/ATC.2016.7764795","DOIUrl":"https://doi.org/10.1109/ATC.2016.7764795","url":null,"abstract":"Treadmill training is an innovative rehabilitation method for patients with locomotor dysfunctions. In the lower extremity rehabilitation systems, the treadmill speed is restricted to a constant value or adjusted by the therapist. Speed of the treadmill is normally kept constant by controlling the speed of DC servomotors because of its wide usage in many applications from industrial to medicine and consumers. DC servomotors provide error feedback signal to its PID controller to minimize the error. Unfortunately, its conventional PID controller still causes poor accuracy and poor response. In this paper, a method for controlling DC servomotor based on fuzzy logic is proposed. The fuzzy-based speed controller is implemented in an 8-bit Atmel microcontroller without using any special software tool. With reduced fuzzy set and finer membership function tuning, the control result is improved.","PeriodicalId":225413,"journal":{"name":"2016 International Conference on Advanced Technologies for Communications (ATC)","volume":"59 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":"126820598","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}
Nhan Nguyen-Thanh, Han Le-Duc, Duc-Tuyen Ta, Van-Tam Nguyen
{"title":"Energy efficient techniques using FFT for deep convolutional neural networks","authors":"Nhan Nguyen-Thanh, Han Le-Duc, Duc-Tuyen Ta, Van-Tam Nguyen","doi":"10.1109/ATC.2016.7764779","DOIUrl":"https://doi.org/10.1109/ATC.2016.7764779","url":null,"abstract":"Deep convolutional neural networks (CNNs) has been developed for a wide range of applications such as image recognition, nature language processing, etc. However, the deployment of deep CNNs in home and mobile devices remains challenging due to substantial requirements for computing resources and energy needed for the computation of high-dimensional convolutions. In this paper, we propose a novel approach designed to minimize energy consumption in the computation of convolutions in deep CNNs. The proposed solution includes (i) an optimal selection method for Fast Fourier Transform (FFT) configuration associated with splitting input feature maps, (ii) a reconfigurable hardware architecture for computing high-dimensional convolutions based on 2D-FFT, and (iii) an optimal pipeline data movement scheduling. The FFT size selecting method enables us to determine the optimal length of the split input for the lowest energy consumption. The hardware architecture contains a processing engine (PE) array, whose PEs are connected to form parallel flexible-length Radix-2 single-delay feedback lines, enabling the computation of variable-size 2D-FFT. The pipeline data movement scheduling optimizes the transition between row-wise FFT and column-wise FFT in a 2D-FFT process and minimizes the required data access for the element-wise accumulation across input channels. Using simulations, we demonstrated that the proposed framework improves the energy consumption by 89.7% in the inference case.","PeriodicalId":225413,"journal":{"name":"2016 International Conference on Advanced Technologies for Communications (ATC)","volume":"17 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":"122457702","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":"On channel estimation in DC Biased optical OFDM systems over VLC channels","authors":"O. Sayli, H. Dogan, E. Panayirci","doi":"10.1109/ATC.2016.7764763","DOIUrl":"https://doi.org/10.1109/ATC.2016.7764763","url":null,"abstract":"Visible Light Communication(VLC) has been considered as a potential access option for 5G wireless systems to solve performance limitation due to bandwidth shortage at radio frequency (RF) band. In (VLC) system, illumination infrastructure has dual usage at the same time namely illumination and wireless data transmission. DC Biased optical (DCO)-OFDM has been proposed for VLC systems to provide optically power efficient solution and easy implementation. Wireless communication systems generally require estimating and tracking the fading channel in order to detect transmitted data coherently. In this work, comb type pilot arrangement with interpolation and block type pilot arrangement are proposed for the DCO-OFDM systems over visible light channels. Simulation results have verified that the proposed block type pilot arrangement based channel estimation has clear BER performance advantages compared with comb type pilot arrangement based channel estimation.","PeriodicalId":225413,"journal":{"name":"2016 International Conference on Advanced Technologies for Communications (ATC)","volume":"71 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":"127162777","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}