2018 20th International Conference on Advanced Communication Technology (ICACT)

This tutorial reports recent activities for deploying smart cities ICT solutions for major cites in Vietnam such as HCM city, Danang an Hanoi. It also presents a survey of data acquisition technologies such as Sensor Networks, MANETs, Unmanned Aerial Vehicles (UAVs), Vehicular Ad hoc Networks (VANETs), Internet of Things (IoT), Software-Defined Networking (SDN), Network Functions Virtualization (N... View full abstract»

This keynote presentation consists of a collection of slides from the author's conference presentation. Some of the specific areas/topics discussed include: XXXXX. It is concluded that XXXXX. View full abstract»

The filter Bank Multicarrier (FBMC) modulation with offset-QAM (OQAM) has attracted attention as a major candidate for future wireless communication systems which has several advantages. A disadvantage of FBMC-OQAM is high peak-to-average power ratio (PAPR). To overcome this problem, the trellis-based SLM technique is employed and achieved a much better PAPR reduction performance. However, The Tre... View full abstract»

The filter Bank Multicarrier (FBMC) modulation with offset-QAM (OQAM) has attracted attention as a major candidate for future wireless communication systems which has several advantages. A disadvantage of FBMC-OQAM is high peak-to-average power ratio (PAPR). To overcome this problem, the trellis-based SLM technique is employed and achieved a much better PAPR reduction performance. However, The Tre... View full abstract»

We propose a low-complexity downlink interference coordination algorithm in OFDMA networks. The algorithm aims to achieve high proportional fairness among cell-edge users, as the effects of inter-cell interference are most noticeable in cell-edge areas where users are interfered by signals from neighbor base-stations. We demonstrate that the performance of our algorithm is greater than that of a d... View full abstract»

We propose a low-complexity downlink interference coordination algorithm in OFDMA networks. The algorithm aims to achieve high proportional fairness among cell-edge users, as the effects of inter-cell interference are most noticeable in cell-edge areas where users are interfered by signals from neighbor base-stations. We demonstrate that the performance of our algorithm is greater than that of a d... View full abstract»

In this paper, a size-miniaturized bandpass filter based on the half-mode substrate integrated waveguide (HM-SIW) and embedded E-shaped detected ground structure (DGS) is presented. Two pairs of embedded E-shaped DGSs are face-to-face configured and loaded into the conventional HMSIW section to constitute a HMSIW-DGS unit cell. First of all, the HMSIW is with inherent highpass characteristic, whil... View full abstract»

In this paper, a size-miniaturized bandpass filter based on the half-mode substrate integrated waveguide (HM-SIW) and embedded E-shaped detected ground structure (DGS) is presented. Two pairs of embedded E-shaped DGSs are face-to-face configured and loaded into the conventional HMSIW section to constitute a HMSIW-DGS unit cell. First of all, the HMSIW is with inherent highpass characteristic, whil... View full abstract»

In Vanet, Secure and Smart Intelligent Transport System (SSITS) support both safety and non-safety applications in terms of throughput and collision performance. In vehicle to vehicle (V2V) communication, the network should provide a good throughput and should reduce collision. To provide an efficient throughput for V2V communication under different environments (such as City, Highway, and Rural),... View full abstract»

In Vanet, Secure and Smart Intelligent Transport System (SSITS) support both safety and non-safety applications in terms of throughput and collision performance. In vehicle to vehicle (V2V) communication, the network should provide a good throughput and should reduce collision. To provide an efficient throughput for V2V communication under different environments (such as City, Highway, and Rural),... View full abstract»

The purpose of this research is study on the Fabrication and Evaluation of the MEMS Based FBAR Filter for wireless systems. In this research, composed ladder type filter using thin plate resonator by MBVD equivalent modeling. Use inductor, passive component, for low frequency band attenuation characteristic. Regarding better GND and adjust thermal conductivity, explained new via manufacturing meth... View full abstract»

The purpose of this research is study on the Fabrication and Evaluation of the MEMS Based FBAR Filter for wireless systems. In this research, composed ladder type filter using thin plate resonator by MBVD equivalent modeling. Use inductor, passive component, for low frequency band attenuation characteristic. Regarding better GND and adjust thermal conductivity, explained new via manufacturing meth... View full abstract»

The local optimization problem of cost functions has blocked the advancement of not only the traditional mathematics but also the emerging Neural Network (NN). Since most of the cost functions used in the gradient descent of NN is non-convex, there are high possibilities that the algorithm may converge at the local optimum. In order to eliminate the substantial error caused from this problem, deep... View full abstract»

The local optimization problem of cost functions has blocked the advancement of not only the traditional mathematics but also the emerging Neural Network (NN). Since most of the cost functions used in the gradient descent of NN is non-convex, there are high possibilities that the algorithm may converge at the local optimum. In order to eliminate the substantial error caused from this problem, deep... View full abstract»

This work focuses on the potential of artificial neural networks to classify biological signals in a healthcare setting, specifically in the estimation of blood pressure from photoplethysmography signal readings obtained via medical devices. This signal is known to have valuable cardiovascular information and has been related to heart rate and blood pressure pulsewave. Among the literature there h... View full abstract»

This work focuses on the potential of artificial neural networks to classify biological signals in a healthcare setting, specifically in the estimation of blood pressure from photoplethysmography signal readings obtained via medical devices. This signal is known to have valuable cardiovascular information and has been related to heart rate and blood pressure pulsewave. Among the literature there h... View full abstract»