Electronic and Telecommunications Research Institute ETRI

United States

Electronic and Telecommunications Research Institute ETRI

United States

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Chiabrando F.,Polytechnic University of Turin | Di Pietra V.,Polytechnic University of Turin | Lingua A.,Polytechnic University of Turin | Cho Y.,Electronic and Telecommunications Research Institute ETRI | Jeon J.,Electronic and Telecommunications Research Institute ETRI
ISPRS International Journal of Geo-Information | Year: 2017

This paper describes the first results of an image recognition based location (IRBL) for a mobile application focusing on the procedure to generate a database of range images (RGB-D). In an indoor environment, to estimate the camera position and orientation, a prior spatial knowledge of the surroundings is needed. To achieve this objective, a complete 3D survey of two different environments (Bangbae metro station of Seoul and the Electronic and Telecommunications Research Institute (ETRI) building in Daejeon, Republic of Korea) was performed using a LiDAR (Light Detection and Ranging) instrument, and the obtained scans were processed to obtain a spatial model of the environments. From this, two databases of reference images were generated using specific software realised by the Geomatics group of Politecnico di Torino (ScanToRGBDImage). This tool allows us to generate synthetically different RGB-D images centred in each scan position in the environment. Later, the external parameters (X, Y, Z, !, ', and) and the range information extracted from the retrieved database images are used as reference information for pose estimation of a set of acquired mobile pictures in the IRBL procedure. In this paper, the survey operations, the approach for generating the RGB-D images, and the IRB strategy are reported. Finally, the analysis of the results and the validation test are described.


Teguh Yudistira H.,Sungkyunkwan University | Pradhipta Tenggara A.,Sungkyunkwan University | Dat Nguyen V.,Sungkyunkwan University | Teun Kim T.,Korea Advanced Institute of Science and Technology | And 4 more authors.
Applied Physics Letters | Year: 2013

Metamaterial is an engineered material whose electromagnetic properties can be determined by the unit structure. Lithography is one of main methods to fabricate metamaterials for fine patterning which has limitations in large-area fabrication. We present a direct fabrication method for metamaterial using the electrohydrodynamic jet printing. An electrical pulse was controlled to make drop-on-demand operation, through which flexible high refractive-index metamaterial could be fabricated in the form of I-shaped silver electrodes with 10-μm widths and 5-μm gaps on polyimide substrate. The peak value of the refractive index was 18.4 at a frequency of around 0.48 THz. © 2013 AIP Publishing LLC.


Choi J.H.,Electronic and Telecommunications Research Institute ETRI | Cha J.,Electronic and Telecommunications Research Institute ETRI
International Conference on Advanced Communication Technology, ICACT | Year: 2011

The DMB filecasting service is able to provide peoples with crystal-clear video and theatre-quality audio as well as downloadable richmedia services such as personalized and interactive multimedia service on the move via in-vehicle terminals or hand-held gadgets like mobile phones. In this paper, we explain about the DMB filecasting service and propose the transmission method of signalling information and DMB contents for the DMB filecasting service. © 2011 Global IT Research Inst.


Wang D.,University of Calgary | Leung H.,University of Calgary | Kurian A.P.,University of Calgary | Kim H.-J.,Electronic and Telecommunications Research Institute ETRI | Yoon H.,Electronic and Telecommunications Research Institute ETRI
IEEE Transactions on Instrumentation and Measurement | Year: 2010

Reverberation deteriorates the quality and intelligibility of speech, leading to the poor performance of classification systems. Room reverberation parameters depend on the location of the speaker and the microphone and the room geometry. For mobile robots, the reverberation is constantly changing due to the relative movement of the speaker and the robot. This can affect the spectral properties of the signal and therefore, the classification accuracy. The contribution of this paper is a new network architecture, which uses neural network constant modulus algorithm (NNCMA) based equalizer followed by a multi-layer preceptron (MLP) classifier. NNCMA is an MLP which is trained with a cost function similar to constant modulus algorithm (CMA). With this two-stage structure, the classifier does not have to consider the time-varying nature of the reverberation. The proposed algorithm is applied to speech samples collected by the home service robot WEVER-R2 for speaker classification in a typical home or office environment. We use them for gender classification application. The proposed neural network was found to have 83.73% of classification accuracy for age classification and 88.91% of classification accuracy for gender classification, while the standard MLP had a classification accuracy of 71.43% and 72.29%, respectively. © 2006 IEEE.


Yu D.,Microsoft | Deng L.,Microsoft | Jang I.,Electronic and Telecommunications Research Institute ETRI | Kudumakis P.,Queen Mary, University of London | And 2 more authors.
IEEE Signal Processing Magazine | Year: 2011

Today, signal processing research has a significantly widened its scope compared with just a few years ago [4], and machine learning has been an important technical area of the signal processing society. Since 2006, deep learninga new area of machine learning research has emerged [7], impacting a wide range of signal and information processing work within the traditional and the new, widened scopes. Various workshops, such as the 2009 ICML Workshop on Learning Feature Hierarchies; the 2008 NIPS Deep Learning Workshop: Foundations and Future Directions; and the 2009 NIPS Workshop on Deep Learning for Speech Recognition and Related Applications as well as an upcoming special issue on deep learning for speech and language processing in IEEE Transactions on Audio, Speech, and Language Processing (2010) have been devoted exclusively to deep learning and its applications to classical signal processing areas. We have also seen the government sponsor research on deep learning (e.g., the DARPA deep learning program, available at http://www.darpa.mil/ipto/solicit/baa/BAA-09-40- PIP.pdf). © 2010 IEEE.


Jang I.,Electronic and Telecommunications Research Institute ETRI | Kudumakis P.,Queen Mary, University of London | Sandler M.,Queen Mary, University of London | Kang K.,Electronic and Telecommunications Research Institute ETRI
IEEE Signal Processing Magazine | Year: 2011

The music industry is going through a transformation, and new interactive music services have emerged. It is envisaged that this new concept of digital music content will dominate the next generation of music services. A standardized file format is inevitably required to provide the interoperability between various interactive music players and interactive music albums. This issue is addressed in a new standard by the Moving Picture Experts Group (MPEG), known as the MPEG-A Interactive Music Application Format (IM AF). IM AF integrates multiple audio tracks with appropriate additional information, enabling users to experience various preset mixes and to make their own mixes complying with interactivity rules imposed by the music composers with the aim of fitting their artistic creation. © 2010 IEEE.


Kwon E.,Electronic and Telecommunications Research Institute ETRI | Byon S.,Electronic and Telecommunications Research Institute ETRI | Lee Y.-T.,Electronic and Telecommunications Research Institute ETRI | Ryu W.,Electronic and Telecommunications Research Institute ETRI
2016 IEEE International Conference on Consumer Electronics, ICCE 2016 | Year: 2016

Recently, as set-top box (STB) tends to become a potential converged system thanks to cloud technology, it is possible to run many applications requiring CPU-intensive processing remotely through legacy STB. Whereas, as STB normally consumes 80∼90% power level even when not in use, many ideas have proposed to reduce the standby power of it. But all of them don't describe a method how to control many kinds of applications affecting the energy consumption of clients in cloud without delay at any circumstance. So, In order to reduce the standby power of legacy STB and provide cloud services efficiently at the same time, a power saving scheme for cloud service on legacy STB is required. As the delay time of STB for receiving the rendered images from the cloud platform is an important factor on QoE (Quality of Experience), we present an efficient power saving scheme for control cloud services through legacy STB requiring fast response time and consuming the low power. © 2016 IEEE.


Lee D.-G.,Pusan National University | Choi D.,Electronic and Telecommunications Research Institute ETRI | Seo J.,The Attached Institute of ETRI | Kim H.,Pusan National University
Sensors (Switzerland) | Year: 2013

In this paper, we present a new reset tree-based scheme to protect cryptographic hardware against optical fault injection attacks. As one of the most powerful invasive attacks on cryptographic hardware, optical fault attacks cause semiconductors to misbehave by injecting high-energy light into a decapped integrated circuit. The contaminated result from the affected chip is then used to reveal secret information, such as a key, from the cryptographic hardware. Since the advent of such attacks, various countermeasures have been proposed. Although most of these countermeasures are strong, there is still the possibility of attack. In this paper, we present a novel optical fault detection scheme that utilizes the buffers on a circuit's reset signal tree as a fault detection sensor. To evaluate our proposal, we model radiation-induced currents into circuit components and perform a SPICE simulation. The proposed scheme is expected to be used as a supplemental security tool. © 2013 by the authors; licensee MDPI, Basel, Switzerland.


Jean S.,Electronic and Telecommunications Research Institute ETRI | Cho K.,Electronic and Telecommunications Research Institute ETRI
International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015 | Year: 2015

In NFV framework, the orchestrator and VIM know the decomposition details of the network service. However, we assume that an additional VNF VM, which represents a virtualized VNF instance, is to be increased, VNFM to provide agile network service, which is in charge of the scaling of the service component, must know how to add more computing and overlay network resources, but it does not. In order to solve the problem, we propose specific VNFM by using CVNF VM, which will allow direct control of data plane resources and instances and enable the separation of control plane and data plane network function designs in the NFV framework. The new procedure for initializing and scaling VNF instance to support specific VNFM is suggested. © 2015 IEEE.


Choi J.H.,Electronic and Telecommunications Research Institute ETRI | Lee H.-K.,Electronic and Telecommunications Research Institute ETRI
International Conference on Advanced Communication Technology, ICACT | Year: 2010

The terrestrial DMB has supported us with a simple audio/video service as well as various additional data service such as BWS, Slideshow and TPEG. But DMB market doesn't want simple DMB services more without benefit. So personalized DMB conception has came out as a new growth power of the future DMB industry and market. In this paper, we defined transmission method of metadata and signalling information through DMB data channels for support DMB ECG service that is one of personalized DMB services. And then we present personalized DMB terminal system and test result of performance and functionality.

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