• 제목/요약/키워드: Approach Detection System

검색결과 903건 처리시간 0.067초

Design of Smart Device Assistive Emergency WayFinder Using Vision Based Emergency Exit Sign Detection

  • Lee, Minwoo;Mariappan, Vinayagam;Mfitumukiza, Joseph;Lee, Junghoon;Cho, Juphil;Cha, Jaesang
    • Journal of Satellite, Information and Communications
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    • 제12권1호
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    • pp.101-106
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    • 2017
  • In this paper, we present Emergency exit signs are installed to provide escape routes or ways in buildings like shopping malls, hospitals, industry, and government complex, etc. and various other places for safety purpose to aid people to escape easily during emergency situations. In case of an emergency situation like smoke, fire, bad lightings and crowded stamped condition at emergency situations, it's difficult for people to recognize the emergency exit signs and emergency doors to exit from the emergency building areas. This paper propose an automatic emergency exit sing recognition to find exit direction using a smart device. The proposed approach aims to develop an computer vision based smart phone application to detect emergency exit signs using the smart device camera and guide the direction to escape in the visible and audible output format. In this research, a CAMShift object tracking approach is used to detect the emergency exit sign and the direction information extracted using template matching method. The direction information of the exit sign is stored in a text format and then using text-to-speech the text synthesized to audible acoustic signal. The synthesized acoustic signal render on smart device speaker as an escape guide information to the user. This research result is analyzed and concluded from the views of visual elements selecting, EXIT appearance design and EXIT's placement in the building, which is very valuable and can be commonly referred in wayfinder system.

Road Extraction from High Resolution Satellite Image Using Object-based Road Model (객체기반 도로모델을 이용한 고해상도 위성영상에서의 도로 추출)

  • Byun, Young-Gi;Han, You-Kyung;Chae, Tae-Byeong
    • Korean Journal of Remote Sensing
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    • 제27권4호
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    • pp.421-433
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    • 2011
  • The importance of acquisition of road information has recently been increased with a rapid growth of spatial-related services such as urban information system and location based service. This paper proposes an automatic road extraction method using object-based approach which was issued alternative of pixel-based method recently. Firstly, the spatial objects were created by MSRS(Modified Seeded Region Growing) method, and then the key road objects were extracted by using properties of objects such as their shape feature information and adjacency. The omitted road objects were also traced considering spatial correlation between extracted road and their neighboring objects. In the end, the final road region was extracted by connecting discontinuous road sections and improving road surfaces through their geometric properties. To assess the proposed method, quantitative analysis was carried out. From the experiments, the proposed method generally showed high road detection accuracy and had a great potential for the road extraction from high resolution satellite images.

A Small-and-medium-sized Hospital's Crisis Management during 2015 MERS Outbreak: A Case of G Hospital (중소병원의 2015 MERS 위기 대응: G병원의 사례)

  • Son, Heejung;Kim, Kwang-Jum
    • Korea Journal of Hospital Management
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    • 제22권3호
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    • pp.144-156
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    • 2017
  • Purpose: Crisis is inevitable to every organization and therefore, successful crisis management is critical to the organizations' survival and prosperity. With the understanding, this study aims to draw propositions for successful crisis management of hospitals when facing infectious disease outbreak. For the purpose, a case of a small and medium sized hospital's experience of crisis management during 2015 Middle East Respiratory Syndrome outbreak was analyzed. Methodology/Approach: The detailed internal circumstances and experiences of the hospital during the MERS outbreak were identified by in-depth interview as well as the extensive material review, and analyzed under the view of the theories of accident, error, and crisis in relation of organization management Findings: Overall, nine propositions are drawn by the phase of crisis. In pre-crisis phase, for example, 'the hospital preparedness has positive influence on the effective responding to the crisis'. In detection phase, 'the mindfulness of the hospital organizations' as well as the individuals' has positive influence on detecting the crisis signals'. In crisis phase, for example, 'improvising naturally occurs in crisis by the unknown disease, therefore, a component site supervisor coordinating such improvision is important'. Lastly, in post-crisis phase, 'successful crisis responding experience facilitates the positive hospital culture'. Practical implication: From the experience of a small and medium size hospital, it is suggested that proactive system approach oriented by safety is beneficial for effective crisis management.

Adaptive Multi-Layer Security Approach for Cyber Defense (사이버 방어를 위한 적응형 다중계층 보호체제)

  • Lee, Seong-kee;Kang, Tae-in
    • Journal of Internet Computing and Services
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    • 제16권5호
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    • pp.1-9
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    • 2015
  • As attacks in cyber space become advanced and complex, monotonous defense approach of one-one matching manner between attack and defense may be limited to defend them. More efficient defense method is required. This paper proposes multi layers security scheme that can support to defend assets against diverse cyber attacks in systematical and adaptive. We model multi layers security scheme based on Defense Zone including several defense layers and also discuss essential technical elements necessary to realize multi layers security scheme such as cyber threats analysis and automated assignment of defense techniques. Also effects of multi layers security scheme and its applicability are explained. In future, for embodiment of multi layers security scheme, researches about detailed architecture design for Defense Zone, automated method to select the best defense technique against attack and modeling normal state of asset for attack detection are needed.

A Fast Processing Algorithm for Lidar Data Compression Using Second Generation Wavelets

  • Pradhan B.;Sandeep K.;Mansor Shattri;Ramli Abdul Rahman;Mohamed Sharif Abdul Rashid B.
    • Korean Journal of Remote Sensing
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    • 제22권1호
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    • pp.49-61
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    • 2006
  • The lifting scheme has been found to be a flexible method for constructing scalar wavelets with desirable properties. In this paper, it is extended to the UDAR data compression. A newly developed data compression approach to approximate the UDAR surface with a series of non-overlapping triangles has been presented. Generally a Triangulated Irregular Networks (TIN) are the most common form of digital surface model that consists of elevation values with x, y coordinates that make up triangles. But over the years the TIN data representation has become an important research topic for many researchers due its large data size. Compression of TIN is needed for efficient management of large data and good surface visualization. This approach covers following steps: First, by using a Delaunay triangulation, an efficient algorithm is developed to generate TIN, which forms the terrain from an arbitrary set of data. A new interpolation wavelet filter for TIN has been applied in two steps, namely splitting and elevation. In the splitting step, a triangle has been divided into several sub-triangles and the elevation step has been used to 'modify' the point values (point coordinates for geometry) after the splitting. Then, this data set is compressed at the desired locations by using second generation wavelets. The quality of geographical surface representation after using proposed technique is compared with the original UDAR data. The results show that this method can be used for significant reduction of data set.

An Optimization Approach for Localization of an Indoor Mobile Robot (최적화 기법을 사용한 실내 이동 로봇의 위치 인식)

  • Han, Jun Hee;Ko, Nak Yong
    • Journal of the Korean Institute of Intelligent Systems
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    • 제26권4호
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    • pp.253-258
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    • 2016
  • This paper proposes a method that utilizes optimization approach for localization of an indoor mobile robot. Bayesian filters which have been widely used for localization of a mobile robot use many control parameters to take the uncertainties in measurement and environment into account. The estimation performance depends on the selection of these parameter values. Also, the performance of the Bayesian filters deteriorate as the non-linearity of the motion and measurement increases. On the other hand, the optimization approach uses fewer control parameters and is less influenced by the non-linearity than the Bayesian methods. This paper compares the localization performance of the proposed method with the performance of the extended Kalman filter to verify the feasibility of the proposed method. Measurements of ranges from beacons of ultrasonic satellite to the robot are used for localization. Mahalanobis distance is used for detection and rejection of outlier in the measurements. The optimization method sets performance index as a function of the measured range values, and finds the optimized estimation of the location through iteration. The method can improve the localization performance and reduce the computation time in corporation with Bayesian filter which provides proper initial location for the iteration.

Production System of Virus-free Apple Plants Using Heat Treatment and Shoot Tip Culture (열처리와 경정배양을 이용한 바이러스 무병 사과 생산 시스템)

  • Lee, Gunsup;Kim, Jeong Hee;Kim, Hyun Ran;Shin, Il Sheob;Cho, Kang Hee;Kim, Se Hee;Shin, Juhee;Kim, Dae Hyun
    • Research in Plant Disease
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    • 제19권4호
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    • pp.288-293
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    • 2013
  • In worldwide, viral diseases of apple plants has caused the serious problems like reduced production and malformation of fruits. Also, the damages of apple plants by virus and/or viroid infection (Apple chlorotic leaf spot virus, Apple stem grooving virus, Apple mosaic virus, and Apple scar skin viroid) were reported in Korea. However there is few report about the protection approach against the infection by apple viruses. Therefore, this paper introduced the experimental protocol for the development of virus-free apple cultivars (Danhong, Hongan, Saenara, Summerdream). Apple plants were treated at $37^{\circ}C$ for 4 weeks and shoot tips were cultured in vitro. After heat treatment, the detection of apple viruses was performed by RT-PCR using virusspecific detection primers in new apple cultivars. With the heat treatments followed by in vitro shoot tip culture, the proportion of virus-free stocks of 'Danhong', 'Hongan', 'Saenara', and 'Summerdream' was 28%, 16%, 12%, and 12%, respectively. Taken together, this approach can be a good tool for production of virus-free apple stocks.

Measurement Scheme for One-Way Delay Variation with Detection and Removal of Clock Skew

  • Aoki, Makoto;Oki, Eiji;Rojas-Cessa, Roberto
    • ETRI Journal
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    • 제32권6호
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    • pp.854-862
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    • 2010
  • One-way delay variation (OWDV) has become increasingly of interest to researchers as a way to evaluate network state and service quality, especially for real-time and streaming services such as voice-over-Internet-protocol (VoIP) and video. Many schemes for OWDV measurement require clock synchronization through the global-positioning system (GPS) or network time protocol. In clock-synchronized approaches, the accuracy of OWDV measurement depends on the accuracy of the clock synchronization. GPS provides highly accurate clock synchronization. However, the deployment of GPS on legacy network equipment might be slow and costly. This paper proposes a method for measuring OWDV that dispenses with clock synchronization. The clock synchronization problem is mainly caused by clock skew. The proposed approach is based on the measurement of inter-packet delay and accumulated OWDV. This paper shows the performance of the proposed scheme via simulations and through experiments in a VoIP network. The presented simulation and measurement results indicate that clock skew can be efficiently measured and removed and that OWDV can be measured without requiring clock synchronization.

Control Algorithm of the Lower-limb Powered Exoskeleton Robot using an Intention of the Human Motion from Muscle (인체근육의 동작의도를 이용한 하지 근력증강형 외골격 로봇의 제어 알고리즘)

  • Lee, Hee-Don;Kim, Wan-Soo;Lim, Dong-Hwan;Han, Chang-Soo
    • The Journal of Korea Robotics Society
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    • 제12권2호
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    • pp.124-131
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    • 2017
  • This paper present a novel approach to control the lower body power assistive exoskeleton system of a HEXAR-CR35 aimed at improving a muscular strength. More specifically the control of based on the human intention is crucial of importance to ensure intuitive and dexterous motion with the human. In this contribution, we proposed the detection algorithm of the human intention using the MCRS which are developed to measure the contraction of the muscle with variation of the circumference. The proposed algorithm provides a joint motion of exoskeleton corresponding the relate muscles. The main advantages of the algorithm are its simplicity, computational efficiency to control one joint of the HEXAR-CR35 which are consisted knee-active type exoskeleton (the other joints are consisted with the passive or quasi-passive joints that can be arranged by analyzing of the human joint functions). As a consequence, the motion of exoskeleton is generated according to the gait phase: swing and stance phase which are determined by the foot insole sensors. The experimental evaluation of the proposed algorithm is achieved in walking with the exoskeleton while carrying the external mass in the back side.

Application of recursive SSA as data pre-processing filter for stochastic subspace identification

  • Loh, Chin-Hsiung;Liu, Yi-Cheng
    • Smart Structures and Systems
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    • 제11권1호
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    • pp.19-34
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    • 2013
  • The objective of this paper is to develop on-line system parameter estimation and damage detection technique from the response measurements through using the Recursive Covariance-Driven Stochastic Subspace identification (RSSI-COV) approach. To reduce the effect of noise on the results of identification, discussion on the pre-processing of data using recursive singular spectrum analysis (rSSA) is presented to remove the noise contaminant measurements so as to enhance the stability of data analysis. Through the application of rSSA-SSI-COV to the vibration measurement of bridge during scouring experiment, the ability of the proposed algorithm was proved to be robust to the noise perturbations and offers a very good online tracking capability. The accuracy and robustness offered by rSSA-SSI-COV provides a key to obtain the evidence of imminent bridge settlement and a very stable modal frequency tracking which makes it possible for early warning. The peak values of the identified $1^{st}$ mode shape slope ratio has shown to be a good indicator for damage location, meanwhile, the drastic movements of the peak of $2^{nd}$ mode slope ratio could be used as another feature to indicate imminent pier settlement.