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The advent of different social networking sites has enabled anyone to easily create, express, and share their ideas, thoughts, opinions, and feelings about anything with millions of other people around the world. With the advancement of technology, mini computers and smartphones have come to human pockets and now it is very easy to share your idea about anything on social media platforms like Facebook,...
In this paper, we propose a patched-based deep Boltzmann shape priors for visual tracking. The shape priors are generated from deep Boltzmann machine network. The network consists of three layers of hidden and visible units. The generated shapes not only maintain general shapes from a variety of poses, but also entail local modifications with high probability.
Combinatorial multi-armed bandit (MAB) problem can be used to formulate sequential decision problems with exploration-exploitation tradeoff. Dynamic spectrum access (DSA) in cognitive radio (CR) networks is one of important applications. In this work, we briefly overview combinatorial MAB problems with its possible applications to CR networks. We first investigate the standard MAB problems where a...
This paper introduces a novel system for sports motion analysis. The system utilizes wearable sensors and video cameras to detect a sports motion and to provide image sequences of the motion automatically. Deep neural networks were adopted for detection and explicit segmentation of a sports motion into submotions. The proposed system is evaluated by implementing a soccer kick analysis system as an...
Hand gestures are intuitive and universal methods for interacting with computers. Various research related to hand gestures with Human-Computer-Interactions (HCI) have been reported in recent years. As hand gestures recognition tools, depth cameras detecting both depth and color information of target objects are widely used because of its non-contact and intuitive interaction merits. However, complex...
Flexible piezoresistive press sensor where CNT nanocomposite is dispersed in PDMS matrix is fabricated using a simple CNT mixing method. The sensor showed resistance sensitivity up to 43.75kPa and maximum of 10% hysteresis. It showed resistance reduction effect after some press stresses that might be related to the squeezing effect of the PDMS matrix. Also it showed resistance drift under constant...
Medical education is the practice of being a medical practitioner, which varies considerably across the world. It is an active research area and has evolved tremendously in recent decades. The learning activities are commonly explored using patient cases. Among multiple medical education methodologies, Case-Based Learning (CBL) is considered as an effective methodology for small-group of medical students...
This paper proposes a radio resource management scheme for the multi-RAT (Multiple Radio Access Technology) unit based MHN-E (Mobile Hotspot Network Enhancement) network that provides a millimeter-wave (mmWave) backhaul link of high-speed railway communications. We designed when multi-RAT unit configuration procedure is triggered and how it works, also explained detailed multi-RAT unit bearer configuration...
For the safety and convenience of driving, vehicle should provide adaptive interaction strategy to driver's characteristics and status. For this purpose, we began developing the driver-adaptive vehicle interaction system (DAVIS). Our system is going to provide adequate interaction mechanism based on the characteristics of the driver in addition to the driver's status varying in real-time. As the first...
This study was aimed to confirm the effects of augmented reality (AR) information use on the cognitive reaction behavior of drivers with specific reckless driving propensity under reduced visibility traffic environment. Therefore, we conducted an experiment to collect the reaction time for preceding vehicles and pedestrians. And We collected the reckless driving propensity information of drivers using...
In the near future, the connected car system is expected to grow steadily and form a big mainstream. In this situation, some automakers are developing standard interfaces that can be used to access vehicle information in a vendor-independent way to build larger connected-car ecosystems. In this paper, we introduce the vehicle data standard and the vehicle data access interface standard currently being...
Machine learning is currently a hot research topic and applied in intelligence transportation system to discover new valuable knowledge and patterns. In this paper, we extract trajectory information from popular traffic simulator and apply it into four different machine learning methods. In the case of the Gangnam district in Seoul, the Gradient Boosting Regression has better fit with lower values...
This paper presents an estimation of 3D ball motion using an infrared and acoustic vector sensor. The proposed technique adopts and combines two main methods: an impulsive sound source localization method with a 2D microelectromechanical system (MEMS) microphone array using the delay-and-sum beamforming technique, and a high-speed infrared scanning method. Our evaluation results for different velocities...
Widespread onboard sensors of an automobile and sensors installed on aftermarket devices rapidly increase the number of automotive accident messages to public safety answering point operators. Unexpected massive reports from automotive emergency call devices, such as false alarms, promote semi-urgent or non-urgent calls exponentially, referred to as the PSAP overload problem. In this paper, a proxy...
Existing DR(Demand Response) protocols are designed with the most successful and popular application layer protocol, HTTP. However, due to the rapid development of the Internet-of-things (IoT) protocol, DR messaging technology based on the IoT(Internet of Things) protocol to be used for light energy devices is highly required. In this paper, we extend the existing DR protocol using CoAP which inherited...
An offset quadrature amplitude modulation (OQAM)-filterbank based multicarrier (FBMC) has been attracted and nominated as one of new waveforms for 5G communications due to its capability of frequency selectivity, robustness to carrier frequency offset (CFO) and omission of cyclic prefix (CP). Regardless of these advantages, many researchers have claimed pros and cons for the usage of FBMC, among those...
Recently, a lot of enterprises have released diverse and many solutions and services using smart mobile devices. Many people are experiencing several conveniences through the services. However, there are many cases where security is not taken into consideration in the services using mobile devices. In this paper, we propose Mobile Security Solution (MSS) system based on Security Platform. The Security...
Massive MIMO technology is needed as the volume of data demand increases. An increase in the number of RF-chains as the number of antennas increases causes hardware complexity and system cost increase. This causes the application of the actual communication system to be delayed. In this paper, we show the applicability to massive mimo by expanding the unit load modulation module with single RF-chain...
Modern control theories such as systems engineering approaches try to solve nonlinear system problems by revelation of causal relationship or co-relationship among the components; most of those approaches focus on control of sophisticatedly modeled white-boxed systems. We suggest an application of actor-critic reinforcement learning approach to control a nonlinear, complex and black-boxed system....
In this paper, we analyze the refraction of magneto-inductive waves by surrounding metallic loops in underwater sensor networks. Previous work proposed positive and negative refraction of magneto-inductive waves. Here, we discuss properties of different structures of the placement of coils with the aid of the dispersion equation and compare the performance of lattice and honeycomb structures with...
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