UET - Conference Proceedings : [15]

Follow this collection to receive daily e-mail notification of new additions
Collection's Items (Sorted by Submit Date in Descending order): 1 to 15 of 15
  • item.jpg
  • Conference paper


  • Authors: Dinh, Thi Ha Ly; Huynh, Thi Thanh Binh (2017)

  • We are interested in a new model of area coverage problem in wireless sensor networks that is to maximize covered area in a region of interest with a given number of sensors instead of finding the minimum number of sensors such that the region of interest can be completely supervised

  • LTThanh_WindowedGFT_Poster_RS2017.pdf.jpg
  • Conference paper


  • Authors: Le, Trung-Thanh; Nguyen, Linh-Trung (2017)

  • Big data analytics has become an industry due to the fact that massive datasets have been increasingly recorded over the last two decades and that they can be smartly mined to discover valuable information. This opens an emerging topic called “graph signal processing” (GSP) [1] which can be seen as inter-section of graph theory and computational harmonic analysis. GSP is strongly related to frequency analysis in which the windowed Fourier dictionary in general and the Fourier transform in particular not only plays important roles, but also is one of the most ac-cessible techniques. In this work, we are interested in generalizing the STFT to its counterpart in vertex-frequency graph ...

  • NghiaNguyen_RS2017poster.pdf.jpg
  • Conference paper


  • Authors: Nguyen, Hoang Nghia (2017)

  • My project presents the experiment conclusion of the suited of Support vector machines for multi-class text in different datasets and discusses the process of text classification with a series of novel Multi-class Support vector machines methods. It address the following points: • How to represent text documents as feature vectors and the effect of text representation on classification result? • How to use the binary classifiers for Multi-classification problem? And the empirical experiment on different dataset both in English and Vietnamese

  • NgoPhongNguyen_PosterPaper_RS2017.pdf.jpg
  • Conference paper


  • Authors: Nguyen, Ngo Phong; Ngo, Quang Hieu; Ha, Quang Phuc (2017)

  • Open sea loading/unloading cargo provides a potential solution to minimize problems related with port construction, expansion and congestion. This process involves a crane attached to a mobile harbor which dynamically handle container from a large container anchored in deep water . The control objective during the operation is to keep the payload in the desired position under the presence of ocean waves. This paper presents a robust control strategy for trajectory tracking and sway suppression of an offshore container crane. The asymptotic stability of closed- loop system is guaranteed by a control law derived for the purpose. Experimental results are provided to indicate the effici...

  • NguyenDinhLuan_Abstract_poster_2.pdf.jpg
  • Conference paper


  • Authors: Nguyen, Dinh Luan (2017)

  • Deformable Part Models and Convolutional Neural Network are state-of-the-art approaches in object detection. While Deformable Part Models makes use of the general structure between parts and root models, Convolutional Neural Network uses all information of input to create meaningful features. These two types of characteristics are necessary for face detection. Inspired by this observation, first, we propose an extension of DPM by adaptively integrating CNN forface detection called DeepFace DPM and propose a new combined model for face representation. Second, a new way of calculating non-maximum suppression is also introduced to boost up detection accuracy. We use Face Detec...

  • P.H.THU-RS2017 poster.pdf.jpg
  • Conference paper


  • Authors: Phan, Hoai Thu; Trinh, Quoc Tu; Nguyen, Van Hai; Ngo, Tat Dat; Luong, Ngoc Hung (2017)

  • Over the past decade, Vietnam has made rapid economic growth. The hot growth has come with depression hot environment. Natural resources are being depleted, clean air is developed scarcity, climate change, and the whole ecosystem is affected. In the efforts choose a more sustainable development path, Vietnam needs effective solutions to support to monitoring and protect environment and natural conservation. Wireless sensor network has experienced a good solution for pollution monitoring, environmental monitoring (1). Our research focus on developed a web-based framework for control, acquisition and presentation of sensors and sensor data. In this thesis I followed similar approaches ...

  • Poster_A New Windowed Graph Fourier Transform.pdf.jpg
  • Conference paper


  • Authors: Le, Trung-Thanh; Nguyen, Linh-Trung; Tran, Thi Thuy Quynh; Karim, Abed-Meraim (2017)

  • Considering graph signal processing (GSP) as an extended version of classical signal processing, definition of fundamental concepts such as spectral, Fourier transform, generalized operators and so forth for graph setting is highly beneficial and meaningful to get a deep understand of graph signals. In this paper, we concentrate on graph spectral analysis to aim at revealing hidden information of signals (data). In particular, we first define two new operators for GSP including translation and modulation, before introducing a new way to obtain the windowed graph Fourier transform called by namely Short Time Fourier Transform in classical setting. The experiment results indicate...

  • Poster_PhamSyNguyen.pdf.jpg
  • Conference paper


  • Authors: Phan, T.-Que Phuong; Pham, Sy-Nguyen; Le, Minh-Vien (2017)

  • Single–phase perovskite strontium titanate SrTiO3 was synthesized from strontium nitrate and tetra–n–butyl orthotitanate using sol–gel method with various calcined temperature from 600–900 °C. Prepared catalysts were characterized by X–ray diffraction (XRD), scanning electron microscope (SEM), ultraviolet–visible diffuse reflection spectroscopy (UV–DRS). The result showed that SrTiO3, which was synthesized at 700 °C in 6 hours, possessed the efficiency of 59.9 % regarding photocatalytic activity for the 10 ppm methylene blue degradation under visible (λ = 390 ÷ 750 nm). Furthermore, the results indicated that the doping of M (M = Mo, V) into the structure SrTiO3(SrTi1-(x+y)MoxVyO3) in...

  • RS2017 poster 28022017.pdf.jpg
  • Conference paper


  • Authors: Nguyen, Thang V.; Pham, Hien T. T.; Le, Hai-Chau; Dang, Ngoc T. (2017)

  • A high-capacity, flexible, cost, and energy efficient backhaul network based on the convergence of optical and wireless technologies is proposed. The proposed backhaul network, which is deployed on wavelength-division multiplexing passive optical network (WDM-PON), supports three backhauling solutions including pure WDM-PON, hybrid WDMPON/free-space optics (FSO), and hybrid WDM-PON/millimeterwave (MMW) radio frequency (RF). The numerical results verify the system performance of each backhaul solution. It is demonstrated that combination of these approaches can exploit PON, FSO and RF technologies to provide a flexible and gigabit-bandwidth-capable solution for the fifth generation ...

  • RS2017 poster.pdf.jpg
  • Conference paper


  • Authors: Vu, Minh Q.; Pham, Hien T. T.; Dang, Ngoc T. (2017)

  • High-altitude platforms (HAPs), which are innovative systems for next-generation wireless communication systems, are being researched and developed rapidly . The HAPs combine the advantages of both satellite communication systems and terrestrial free space optical (FSO) link. In this research, we propose an all-optical two-way relaying space laser communication system for HAP-based broadband backhaul networks to increase the coverage area and to cope with unexpected disasters which occur between two terminals. We also applied network coding scheme for our proposed system by using an optical XOR gate at HAP to increase security and have the faster speed of processing than an electrica...

  • RS2017 poster_XanhHo.pdf.jpg
  • Article


  • Authors: Ho, Xanh; Nguyen, Nhung T.H. (2017)

  • Approaches for film recommendation systems usually exploit explicit descriptive features to compute ratings. In this paper, we suggest a different approach – to rate films via their related neighbors computed via distributed representation of movies. Specifically, we present Film2Vec, a distributed representation learning for films adapted from the distributed hypothesis from linguistics. We implement our proposed idea using TensorFlow , a Google’s Deep Neural Networks software. The experimental results on Movielens dataset show that Film2Vec can effectively reduce root mean square error (RMSE) in movie recommendation task, suggesting yet another beneficial application of deep learnin...

  • RS2017 submit poster_An Hoai Trinh.pdf.jpg
  • Article


  • Authors: Trinh, Hoai An (2017)

  • Falls are the major reason of serious injury and dangerous accident for elderly people. A recognition system is necessary to recognize falls early for help and treatment. In this research, three subjects were introduced a system of fall recognition with five pairs of human postures (non-fall-fall, fall-stand, fall-sit, fall-bend, fall-lying) using a Kinect camera system. Features of skeletal data with the human postures obtained from Kinect camera are extracted using a PCA algorithm. For fall recognition and sending notification message, a SVM algorithm is applied for training the feature data and classifying these postures....

  • RS2017_NguyenDinhLuan_Poster_2.pdf.jpg
  • Article


  • Authors: Nguyen, Dinh Luan (2017)

  • Deformable Part Models (DPM) [1] and Convolutional Neural Network (CNN) are state-of-the-art approaches in object detection. While DPM makes use of the general structure between parts and root models, CNN uses all information of input to create meaningful features. These two types of characteristics are necessary for face detection. Experimental results show that our method surpasses the highest result of existing methods for face detection on the standard dataset with 87.06% in true positive rate at 1000 number false positive images. Our method sheds a light in face detection which is commonly regarded as a saturated area

  • RS2017_Truong Quang Phuc _On the Energy Efficiency of NOMA for Wireless Backhaul in Multi Tier HeterogeneousCRAN.pdf.jpg
  • Article


  • Authors: Tran, Huu Q.; Truong, Phuc Q.; Phan, Ca V.; Vien, Quoc Tuan (2017)

  • This paper addresses the problem of wireless backhaul in amulti-tier heterogeneous cellular network coordinated by a cloud-based central station(CCS), namely heterogeneous cloud radio access network (HCRAN). A non-orthogonal multiple access(NOMA) is adopted in the power domain for improved spectral efficiency and network through put of the wireless downlink in the HCRAN. We first develop a power allocation for multiple cells of different tiers taking account of the practical power consumption of different cell types and wireless backhaul. By analyzing the energy efficiency(EE) of the NOMA for the practical HCRAN downlink, we show that the power available at the cloud,the propagation ...

  • RS2017-Duc Tri Nguyen.pdf.jpg
  • Article


  • Authors: Nguyen, Tri Duc (2017)

  • One year after the Snowden Leaks, we are unaware that we were under mass-surveillance from government or 3rd party organizations. In addition, mobile devices were vulnerable to manythreats at the moment. In late 2014, there is no such chat application making use of Steganography to conceal a secret message in a plain sight. The outcome application is a combination between secret algorithms in Steganography and a hard problem in Cryptography aiming to provide a user the most secure way to sharethe secret on a mobile platform. Thanks for the outstanding of Kivy Frameworks; the application works on both iOS and Android.

Collection's Items (Sorted by Submit Date in Descending order): 1 to 15 of 15

UET - Conference Proceedings : [15]

Follow this collection to receive daily e-mail notification of new additions
Collection's Items (Sorted by Submit Date in Descending order): 1 to 15 of 15
  • item.jpg
  • Conference paper


  • Authors: Dinh, Thi Ha Ly; Huynh, Thi Thanh Binh (2017)

  • We are interested in a new model of area coverage problem in wireless sensor networks that is to maximize covered area in a region of interest with a given number of sensors instead of finding the minimum number of sensors such that the region of interest can be completely supervised

  • LTThanh_WindowedGFT_Poster_RS2017.pdf.jpg
  • Conference paper


  • Authors: Le, Trung-Thanh; Nguyen, Linh-Trung (2017)

  • Big data analytics has become an industry due to the fact that massive datasets have been increasingly recorded over the last two decades and that they can be smartly mined to discover valuable information. This opens an emerging topic called “graph signal processing” (GSP) [1] which can be seen as inter-section of graph theory and computational harmonic analysis. GSP is strongly related to frequency analysis in which the windowed Fourier dictionary in general and the Fourier transform in particular not only plays important roles, but also is one of the most ac-cessible techniques. In this work, we are interested in generalizing the STFT to its counterpart in vertex-frequency graph ...

  • NghiaNguyen_RS2017poster.pdf.jpg
  • Conference paper


  • Authors: Nguyen, Hoang Nghia (2017)

  • My project presents the experiment conclusion of the suited of Support vector machines for multi-class text in different datasets and discusses the process of text classification with a series of novel Multi-class Support vector machines methods. It address the following points: • How to represent text documents as feature vectors and the effect of text representation on classification result? • How to use the binary classifiers for Multi-classification problem? And the empirical experiment on different dataset both in English and Vietnamese

  • NgoPhongNguyen_PosterPaper_RS2017.pdf.jpg
  • Conference paper


  • Authors: Nguyen, Ngo Phong; Ngo, Quang Hieu; Ha, Quang Phuc (2017)

  • Open sea loading/unloading cargo provides a potential solution to minimize problems related with port construction, expansion and congestion. This process involves a crane attached to a mobile harbor which dynamically handle container from a large container anchored in deep water . The control objective during the operation is to keep the payload in the desired position under the presence of ocean waves. This paper presents a robust control strategy for trajectory tracking and sway suppression of an offshore container crane. The asymptotic stability of closed- loop system is guaranteed by a control law derived for the purpose. Experimental results are provided to indicate the effici...

  • NguyenDinhLuan_Abstract_poster_2.pdf.jpg
  • Conference paper


  • Authors: Nguyen, Dinh Luan (2017)

  • Deformable Part Models and Convolutional Neural Network are state-of-the-art approaches in object detection. While Deformable Part Models makes use of the general structure between parts and root models, Convolutional Neural Network uses all information of input to create meaningful features. These two types of characteristics are necessary for face detection. Inspired by this observation, first, we propose an extension of DPM by adaptively integrating CNN forface detection called DeepFace DPM and propose a new combined model for face representation. Second, a new way of calculating non-maximum suppression is also introduced to boost up detection accuracy. We use Face Detec...

  • P.H.THU-RS2017 poster.pdf.jpg
  • Conference paper


  • Authors: Phan, Hoai Thu; Trinh, Quoc Tu; Nguyen, Van Hai; Ngo, Tat Dat; Luong, Ngoc Hung (2017)

  • Over the past decade, Vietnam has made rapid economic growth. The hot growth has come with depression hot environment. Natural resources are being depleted, clean air is developed scarcity, climate change, and the whole ecosystem is affected. In the efforts choose a more sustainable development path, Vietnam needs effective solutions to support to monitoring and protect environment and natural conservation. Wireless sensor network has experienced a good solution for pollution monitoring, environmental monitoring (1). Our research focus on developed a web-based framework for control, acquisition and presentation of sensors and sensor data. In this thesis I followed similar approaches ...

  • Poster_A New Windowed Graph Fourier Transform.pdf.jpg
  • Conference paper


  • Authors: Le, Trung-Thanh; Nguyen, Linh-Trung; Tran, Thi Thuy Quynh; Karim, Abed-Meraim (2017)

  • Considering graph signal processing (GSP) as an extended version of classical signal processing, definition of fundamental concepts such as spectral, Fourier transform, generalized operators and so forth for graph setting is highly beneficial and meaningful to get a deep understand of graph signals. In this paper, we concentrate on graph spectral analysis to aim at revealing hidden information of signals (data). In particular, we first define two new operators for GSP including translation and modulation, before introducing a new way to obtain the windowed graph Fourier transform called by namely Short Time Fourier Transform in classical setting. The experiment results indicate...

  • Poster_PhamSyNguyen.pdf.jpg
  • Conference paper


  • Authors: Phan, T.-Que Phuong; Pham, Sy-Nguyen; Le, Minh-Vien (2017)

  • Single–phase perovskite strontium titanate SrTiO3 was synthesized from strontium nitrate and tetra–n–butyl orthotitanate using sol–gel method with various calcined temperature from 600–900 °C. Prepared catalysts were characterized by X–ray diffraction (XRD), scanning electron microscope (SEM), ultraviolet–visible diffuse reflection spectroscopy (UV–DRS). The result showed that SrTiO3, which was synthesized at 700 °C in 6 hours, possessed the efficiency of 59.9 % regarding photocatalytic activity for the 10 ppm methylene blue degradation under visible (λ = 390 ÷ 750 nm). Furthermore, the results indicated that the doping of M (M = Mo, V) into the structure SrTiO3(SrTi1-(x+y)MoxVyO3) in...

  • RS2017 poster 28022017.pdf.jpg
  • Conference paper


  • Authors: Nguyen, Thang V.; Pham, Hien T. T.; Le, Hai-Chau; Dang, Ngoc T. (2017)

  • A high-capacity, flexible, cost, and energy efficient backhaul network based on the convergence of optical and wireless technologies is proposed. The proposed backhaul network, which is deployed on wavelength-division multiplexing passive optical network (WDM-PON), supports three backhauling solutions including pure WDM-PON, hybrid WDMPON/free-space optics (FSO), and hybrid WDM-PON/millimeterwave (MMW) radio frequency (RF). The numerical results verify the system performance of each backhaul solution. It is demonstrated that combination of these approaches can exploit PON, FSO and RF technologies to provide a flexible and gigabit-bandwidth-capable solution for the fifth generation ...

  • RS2017 poster.pdf.jpg
  • Conference paper


  • Authors: Vu, Minh Q.; Pham, Hien T. T.; Dang, Ngoc T. (2017)

  • High-altitude platforms (HAPs), which are innovative systems for next-generation wireless communication systems, are being researched and developed rapidly . The HAPs combine the advantages of both satellite communication systems and terrestrial free space optical (FSO) link. In this research, we propose an all-optical two-way relaying space laser communication system for HAP-based broadband backhaul networks to increase the coverage area and to cope with unexpected disasters which occur between two terminals. We also applied network coding scheme for our proposed system by using an optical XOR gate at HAP to increase security and have the faster speed of processing than an electrica...

  • RS2017 poster_XanhHo.pdf.jpg
  • Article


  • Authors: Ho, Xanh; Nguyen, Nhung T.H. (2017)

  • Approaches for film recommendation systems usually exploit explicit descriptive features to compute ratings. In this paper, we suggest a different approach – to rate films via their related neighbors computed via distributed representation of movies. Specifically, we present Film2Vec, a distributed representation learning for films adapted from the distributed hypothesis from linguistics. We implement our proposed idea using TensorFlow , a Google’s Deep Neural Networks software. The experimental results on Movielens dataset show that Film2Vec can effectively reduce root mean square error (RMSE) in movie recommendation task, suggesting yet another beneficial application of deep learnin...

  • RS2017 submit poster_An Hoai Trinh.pdf.jpg
  • Article


  • Authors: Trinh, Hoai An (2017)

  • Falls are the major reason of serious injury and dangerous accident for elderly people. A recognition system is necessary to recognize falls early for help and treatment. In this research, three subjects were introduced a system of fall recognition with five pairs of human postures (non-fall-fall, fall-stand, fall-sit, fall-bend, fall-lying) using a Kinect camera system. Features of skeletal data with the human postures obtained from Kinect camera are extracted using a PCA algorithm. For fall recognition and sending notification message, a SVM algorithm is applied for training the feature data and classifying these postures....

  • RS2017_NguyenDinhLuan_Poster_2.pdf.jpg
  • Article


  • Authors: Nguyen, Dinh Luan (2017)

  • Deformable Part Models (DPM) [1] and Convolutional Neural Network (CNN) are state-of-the-art approaches in object detection. While DPM makes use of the general structure between parts and root models, CNN uses all information of input to create meaningful features. These two types of characteristics are necessary for face detection. Experimental results show that our method surpasses the highest result of existing methods for face detection on the standard dataset with 87.06% in true positive rate at 1000 number false positive images. Our method sheds a light in face detection which is commonly regarded as a saturated area

  • RS2017_Truong Quang Phuc _On the Energy Efficiency of NOMA for Wireless Backhaul in Multi Tier HeterogeneousCRAN.pdf.jpg
  • Article


  • Authors: Tran, Huu Q.; Truong, Phuc Q.; Phan, Ca V.; Vien, Quoc Tuan (2017)

  • This paper addresses the problem of wireless backhaul in amulti-tier heterogeneous cellular network coordinated by a cloud-based central station(CCS), namely heterogeneous cloud radio access network (HCRAN). A non-orthogonal multiple access(NOMA) is adopted in the power domain for improved spectral efficiency and network through put of the wireless downlink in the HCRAN. We first develop a power allocation for multiple cells of different tiers taking account of the practical power consumption of different cell types and wireless backhaul. By analyzing the energy efficiency(EE) of the NOMA for the practical HCRAN downlink, we show that the power available at the cloud,the propagation ...

  • RS2017-Duc Tri Nguyen.pdf.jpg
  • Article


  • Authors: Nguyen, Tri Duc (2017)

  • One year after the Snowden Leaks, we are unaware that we were under mass-surveillance from government or 3rd party organizations. In addition, mobile devices were vulnerable to manythreats at the moment. In late 2014, there is no such chat application making use of Steganography to conceal a secret message in a plain sight. The outcome application is a combination between secret algorithms in Steganography and a hard problem in Cryptography aiming to provide a user the most secure way to sharethe secret on a mobile platform. Thanks for the outstanding of Kivy Frameworks; the application works on both iOS and Android.

Collection's Items (Sorted by Submit Date in Descending order): 1 to 15 of 15