• Title/Summary/Keyword: Challenging work

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A Multi-Layer Graphical Model for Constrained Spectral Segmentation

  • Kim, Tae Hoon;Lee, Kyoung Mu;Lee, Sang Uk
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2011.07a
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    • pp.437-438
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    • 2011
  • Spectral segmentation is a major trend in image segmentation. Specially, constrained spectral segmentation, inspired by the user-given inputs, remains its challenging task. Since it makes use of the spectrum of the affinity matrix of a given image, its overall quality depends mainly on how to design the graphical model. In this work, we propose a sparse, multi-layer graphical model, where the pixels and the over-segmented regions are the graph nodes. Here, the graph affinities are computed by using the must-link and cannot-link constraints as well as the likelihoods that each node has a specific label. They are then used to simultaneously cluster all pixels and regions into visually coherent groups across all layers in a single multi-layer framework of Normalized Cuts. Although we incorporate only the adjacent connections in the multi-layer graph, the foreground object can be efficiently extracted in the spectral framework. The experimental results demonstrate the relevance of our algorithm as compared to existing popular algorithms.

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Equivalent frame model and shell element for modeling of in-plane behavior of Unreinforced Brick Masonry buildings

  • Kheirollahi, Mohammad
    • Structural Engineering and Mechanics
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    • v.46 no.2
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    • pp.213-229
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    • 2013
  • Although performance based assessment procedures are mainly developed for reinforced concrete and steel buildings, URM (Unreinforced Masonry) buildings occupy significant portion of buildings in earthquake prone areas of the world as well as in IRAN. Variability of material properties, non-engineered nature of the construction and difficulties in structural analysis of masonry walls make analysis of URM buildings challenging. Despite sophisticated finite element models satisfy the modeling requirements, extensive experimental data for definition of material behavior and high computational resources are needed. Recently, nonlinear equivalent frame models which are developed assigning lumped plastic hinges to isotropic and homogenous equivalent frame elements are used for nonlinear modeling of URM buildings. The equivalent frame models are not novel for the analysis of masonry structures, but the actual potentialities have not yet been completely studied, particularly for non-linear applications. In the present paper an effective tool for the non-linear static analysis of 2D masonry walls is presented. The work presented in this study is about performance assessment of unreinforced brick masonry buildings through nonlinear equivalent frame modeling technique. Reliability of the proposed models is tested with a reversed cyclic experiment conducted on a full scale, two-story URM building at the University of Pavia. The pushover curves were found to provide good agreement with the experimental backbone curves. Furthermore, the results of analysis show that EFM (Equivalent Frame Model) with Dolce RO (rigid offset zone) and shell element have good agreement with finite element software and experimental results.

Reliable Gossip Zone for Real-Time Communications in Wireless Sensor Networks

  • Li, Bijun;Kim, Ki-Il
    • Journal of information and communication convergence engineering
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    • v.9 no.2
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    • pp.244-250
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    • 2011
  • Gossip is a well-known protocol which was proposed to implement broadcast service with a high reliability in an arbitrarily connected network of sensor nodes. The probabilistic techniques employed in gossip have been used to address many challenges which are caused by flooding in wireless sensor networks (WSNs). However, very little work has yet been done on real-time wireless sensor networks which require not only highly reliable packets reception but also strict time constraint of each packet. Moreover, the unique energy constraining feature of sensor makes existing solutions unsuitable. Combined with unreliable links, redundant messages overhead in real-time wireless sensor networks is a new challenging issue. In this paper, we introduce a Reliable Gossip Zone, a novel fine-tailored mechanism for real-time wireless sensor networks with unreliable wireless links and low packet redundancy. The key idea is the proposed forwarding probability algorithm, which makes forwarding decisions after the realtime flooding zone is set. Evaluation shows that as an oracle broadcast service design, our mechanism achieves significantly less message overhead than traditional flooding and gossip protocols.

An Efficient Algorithm for Test Pattern Compaction using Independent Faults and Compatible Faults (독립고장과 양립 가능한 고장을 이용한 효율적인 테스트 패턴 압축 기법)

  • Yun, Do-Hyeon;Gang, Seong-Ho;Min, Hyeong-Bok
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.38 no.2
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    • pp.145-153
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    • 2001
  • As combinational ATPG algorithms achieve effectively 100% fault coverage, reducing the length of test set without loosing its fault coverage becomes a challenging work. The new approach is based on the independent and the compatible relationships between faults. For more compact test set, the size of compatible fault set must be maximized, thus this algorithm generates fault-pattern pairs, and a fault-pattern pair tree structure using the independent and the compatible relationships between faults. With the fault-pattern pair tree structure, a compact test set effectively generated. The experimental results for ISCAS 85 and 89 benchmark circuits demonstrate the effectiveness of the proposed method.

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Qualitative Study on Clinical Nurses' Intention to Stay in Hospital (병원 간호사의 조직 잔류의도에 대한 질적 연구)

  • Park, Kwang-Ok;Kim, Jong Kyung;Kim, Se Young
    • Korean Journal of Adult Nursing
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    • v.26 no.6
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    • pp.681-692
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    • 2014
  • Purpose: The purpose of this study was to evaluate the experience of hospital nurses regarding their intention to stay at hospital. Methods: Experiential data were collected from 10 experienced nurses through in-depth interviews. The main question was "Could you describe your experience and your work during your years at the hospital?" Qualitative data from the field and transcribed notes were analyzed using Strauss and Corbin's grounded theory methodology. Results: The core category of experience regarding hospital nurses' intention to stay was 'following a stable rather than a challenging path'. Participants used three interactional strategies: 'being encouraged via rapport with peers', 'accept reality', and 'find vitality in academic pursuits'. Conclusion: The retention of experienced nurses is critical to human resource management in nursing departments. This study found that experienced nurses have a vague uncertainty about their future in the hospital. Therefore, nursing managers should support experienced nurses by providing them with the opportunities needed to develop their careers, by managing conflicts in nursing units, and by implementing new programs to increase confidence.

Viewpoint Invariant Person Re-Identification for Global Multi-Object Tracking with Non-Overlapping Cameras

  • Gwak, Jeonghwan;Park, Geunpyo;Jeon, Moongu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.4
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    • pp.2075-2092
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    • 2017
  • Person re-identification is to match pedestrians observed from non-overlapping camera views. It has important applications in video surveillance such as person retrieval, person tracking, and activity analysis. However, it is a very challenging problem due to illumination, pose and viewpoint variations between non-overlapping camera views. In this work, we propose a viewpoint invariant method for matching pedestrian images using orientation of pedestrian. First, the proposed method divides a pedestrian image into patches and assigns angle to a patch using the orientation of the pedestrian under the assumption that a person body has the cylindrical shape. The difference between angles are then used to compute the similarity between patches. We applied the proposed method to real-time global multi-object tracking across multiple disjoint cameras with non-overlapping field of views. Re-identification algorithm makes global trajectories by connecting local trajectories obtained by different local trackers. The effectiveness of the viewpoint invariant method for person re-identification was validated on the VIPeR dataset. In addition, we demonstrated the effectiveness of the proposed approach for the inter-camera multiple object tracking on the MCT dataset with ground truth data for local tracking.

Identification of High Frequency Peakers with long-term monitoring observation at 22 and 43 GHz

  • Jeong, Yongjin;Sohn, Bong Won;Chung, Aeree
    • The Bulletin of The Korean Astronomical Society
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    • v.39 no.2
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    • pp.68.2-68.2
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    • 2014
  • High Frequency Peakers (HFPs) are radio-loud Active Galactic Nuclei (AGN), which are regarded as being in the earliest evolutionary phase (102-103 years) of radio galaxies. They are expected to be small in size (< ~1 kpc) compared to their host galaxies (~a few 10s kpc), and have convex spectra, which are peaking at high radio frequency (> 5 GHz). Their size and spectral shape are the most obvious supporting evidence of extremely young ages. HFPs are therefore ideal targets to probe the earliest stage of radio sources. To date however, the young radio source classification has been relying mainly on the spectral shape which usually does not cover high enough frequencies where the true peak flux is located. Hence HFPs are often confused with blazars which may show a similar spectral shape and apparent compactness but are a somewhat evolved form of AGNs. Therefore, we have been challenging to identify HFPs among the sample of 19 candidates using the Korean VLBI Network (KVN) which enables us to extend the radio spectrum baseline up to 22 and 43 GHz. These are higher than the frequencies used in most previous studies of HFPs, allowing us to select genuine HFPs. By long-term monitoring of 18 epochs, we have also inspected the variability of the sample to select out blazars which are highly variable yet with a similar radio spectrum. In this work, we present the light curves and spectral properties of the HFP candidates. We discuss the results of our re-identification of HFPs.

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The Role of Functional Imaging Techniques in the Dementia (치매 환자에서 기능 영상법의 역할)

  • Ryu, Young-Hoon
    • The Korean Journal of Nuclear Medicine
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    • v.38 no.3
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    • pp.209-217
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    • 2004
  • Evaluation of dementia in patients with early symptoms of cognitive decline is clinically challenging, but the need for early, accurate diagnosis has become more crucial, since several medication for the treatment of mild to moderate Alzheimer' disease are available. Many neurodegenerative diseases produce significant brain function alteration even when structural imaging (CT or MRI) reveal no specific abnormalities. The role of PET and SPECT brain imaging in the initial assessment and differential diagnosis of dementia is beginning to evolve vapidly and growing evidence indicates that appropriate incorporation of PET into the clinical work up can improve diagnostic and prognostic accuracy with respect to Alzheimer's disease, the most common cause of dementia in the geriatric population. in the fast few years, studios comparing neuropathologic examination with PET have established reliable and consistent accuracy for diagnostic evaluations using PET - accuracies substantially exceeding those of comparable studies of diagnostic value of SPECT or of both modalities assessed side by side, or of clinical evaluations done without nuclear imaging. This review deals the role of functional brain imaging techniques in the evaluation of dementias and the role of nuclear neuroimaging in the early detection and diagnosis of Alzheimer's disease.

Exploiting Correlation Characteristics to Detect Covert digital communication

  • Huang, Shuhua;Liu, Weiwei;Liu, Guangjie;Dai, Yuewei;Tian, Wen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.8
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    • pp.3550-3566
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    • 2020
  • As a widely used way to exfiltrate information, wireless covert channel (WCC) brings a serious threat to communication security, which enables the wireless communication process to bypass the authorized access control mechanism to disclose information. Unlike the covert channel on the network layer, wireless covert channels on the physical layer (WCC-P) is a new covert communication mode to implement and improve covert wireless communication. Existing WCC-P scheme modulates the secret message bits into the Gaussian noise, which is also called covert digital communication system based on the joint normal distribution (CJND). Finding the existence of this type of covert channel remains a challenging work due to its high undetectability. In this paper, we exploit the square autocorrelation coefficient (SAC) characteristic of the CJND signal to distinguish the covert communication from legitimate communication. We study the sharp increase of the SAC value when the offset is equal to the symbol length, which is caused by embedding secret information. Then, the SAC value of the measured sample is compared with the threshold value to determine whether the measured sample is CJND sample. When the signal-to-noise ratio reaches 20db, the detection accuracy can reach more than 90%.

Applying the Identical Content to Various Types of Mobile Devices Using the Image Map Method (이미지 맵 방법을 이용한 다양한 모바일 단말기에서의 동일한 컨텐츠 적용)

  • Zhao, Mei-Hua;Seo, Chang-Woo;Ko, Hee-Ae;Lim, Young-Hwan
    • Journal of Internet Computing and Services
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    • v.11 no.2
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    • pp.173-184
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    • 2010
  • The advancement of ubiquitous networks facilitates and increases access to the Internet via mobile devices, which offers the advantages of enhanced mobility and accessibility. While Mobile Internet is largely free of temporal and spatial restrictions, producing content for mobile websites is a challenging work due to the existence of multiple device types and markup languages. This paper proposes a technique that makes use of image maps to improve the visual consistency of mobile web content displayed on a variety of mobile devices. The proposed image map method captures several objects comprising the webpage into a single image, and provides the image in Mobile Web services. Mobile devices employing the proposed method can reorganize webpages with multiple objects more easily and obtain the visually identical content on their screen.