Recently, radar-based human activity recognition (HAR) has attracted the attention of researchers as it been proven that a deep learning (DL) model can be automatically determined by radar dataset. However, unlike general optical image data, process collecting and labeling data for training DL requires considerable manpower costs. Therefore, an approach learn maximum number features from limited dataset is essential. Moreover, even if models are trained using obtained multiple geometries,...

In this article, we propose an automatic Wi-Fi fingerprint system that combines unsupervised dual radio mapping (UDRM) algorithm with the aim of reducing time-cost needed to acquire signals. Our proposed is appropriate for indoor environments and utilizes a minimum description length principle (MDLP)-based map feedback (RMF) simultaneously optimizes updates map. training phase, UDRM generates entire building based on measured one reference floor. It does by selectively applying modified...

NAND flash memory has become an Indispensable component in embedded systems because of its versatile features such as nonvolatility, solid-state reliability, low cost and high density. Even though gains popularity data storage, it also can be exploited code for XIP (execute-in-place). We present a cost-efficient architecture, which incorporates into existing hierarchy execution. The usefulness the proposed approach is demonstrated with real workloads on hardware prototyping board.

Wi-Fi round-trip timing (RTT) was applied to indoor positioning systems based on distance estimation. RTT has a higher reception instability than the received signal strength indicator (RSSI)-based fingerprint in non-line-of-sight (NLOS) environments with many obstacles, resulting large errors due multipath fading. To solve these problems, this paper, we propose high-precision RTT-based system using an compensation network (RCDN) and region proposal (RPN). The proposed method consists of...

Image captions aim to generate human-like sentences that describe the image's content. Recent developments in deep learning (DL) have made it possible caption images for accurate descriptions and detailed expressions. However, since DL learns relationship between captions, constructs based on commonly frequented words dataset. Although these generated are highly accurate, they low lexical diversity, unlike humans due limited vocabulary. Therefore, this paper, we propose a Part-Of-Speech...

An improved image decryption system is proposed that based on phase-encoded images and the principle of interference uses a reference wave. A novel technique for generating intensity patterns from decrypted phase information consists simply interfering wave with passing through encrypted phase-only decrypting key. Optical experiments have confirmed as simple robust architecture optical encryption.

Abstract. Smartphone can not only be operated under 3G network environment anytime and anyplace but also cost less than the existing photogrammetric UAV since it provides high-resolution image, 3D location attitude data on a real-time basis from variety of built-in sensors. This study is aimed to assess possibility smartphone as payload for system. Prior such assessment, smartphone-based system application was developed, through which obtained using both static dynamic conditions....

SWRS041cPage 1 of 85 2.4 GHz IEEE 802.15.4 / ZigBee-ready RF Transceiver Applications  systems ZigBee Home/building automation Industrial Control Wireless sensor networks PC peripherals Consumer Electronics

We propose a multilevel image encryption by using binary phase exclusive-OR(XOR) operations and dividing technique. The can be divided to images that have same gray levels. convert each encoding encrypt these with random XOR operation. make encrypted combining images. implement the decryption process joint transform correlator (JTC) verify proposed method computer simulation.

고정노드 2개를 사용하는 이변측위 방법은 건물이나 선박의 복도와 같은 좁은 공간에서 실시간 실내위치인식 시스템 분야에 사용되고 있다. 하지만 이러한 간 거리가 멀어지거나 장애물이 있을 경우 위치정보 수신율 저하로 인하여 이동노드(사용자)의 위치 추정이 어렵게 된다. 본 논문에서는 이와 문제를 보완하기 위하여 IEEE 802.15.4a Chirp 신호를 기반으로 사용자에게 부착된 센서를 통하여 위치를 계산할 수 있는 보폭 측정 알고리즘을 이용하는 새로운 시스템을 제안한다. 제안한 시스템은 다리길이 측정을 위한 초음파센서, 사용자의 방향을 인식하는 지자기 센서 및 다리사이 각을 획득하기 관성센서로 구성된다. 실험 결과 통신도달성이 결여된 구간에서 기존 방법에 비해 2배 이상 정교한 결과를 나타내었다.

Recently, with the rapid advancement in information and communication technology, indoor location-based services(LBSs) that require precise position tracking have been actively studied outdoor-LBS using GPS. However, case of a ship which consists steel structure, it is difficult to measure localization due significant ranging error by diffraction refraction radio waves. In order reduce location measurement errors occur these environments, this paper presents distance compensation algorithms...

Accurate relative location estimation is a key requirement in indoor localization systems based on wireless sensor networks (WSNs). However, although these have applied not only various optimization algorithms but also fusion with sensors to achieve high accuracy position determination, they are difficult provide accurate azimuth and locations users because of cumulative errors inertial time the influence external magnetic fields. This paper ultra-wideband positioning system, which...

This paper describes a study of major shipyard’s electrical network and simulation applying flywheel energy storage system on the at shipyard for shore-power to ships offshore plants in order save fuel consumption engines, mitigate voltage sags, prevent blackout due pulsed load fault, resulting reduction air emission into atmosphere. The proposed recycling method with FESS (Flywheel Energy Storage System) can be applied power design heavy cranes shipyards.

Abstract: Recently, with the rapid development of factory automation and logistics system, a few workers were able to manage broad workplace such as large vessels warehouse. To estimate exact location these work-ers in conventional wireless indoor localization systems, three or more fixed nodes are generally used recog-nize mobile node consisting single node. However, methods inefficient terms deployment because requires lot compared workers(mobile nodes). Therefore, efficiently deploy...

Abstract : Recently, the Fingerprint, which is one of methods indoor localization using WLAN, has been many studied owing to robustness about ranging error by diffraction and refraction radio waves. However, in signal gathering process comparison operation for measured signals with database, this method requires time consumption computational complexity. In order compensate these prob-lems, paper presents, based on proposed modified WLAN algorithm se-lective collected real time. The reduces...

Recently, navigation systems based on wireless communication have been applied to the internal structures such as building or ship. If a stable azimuth information is obtained, these can effectively guide direction of user`s progress through and then improve performance guidance. Since conventional method which has acquired an using geomagnetic acceleration sensor(azimuth sensor hereafter) sensitive effects magnetic field, it unstable error range according surrounding environment. In order...