• Title/Summary/Keyword: Node-Threshold

Search Result 162, Processing Time 0.023 seconds

A Study on Translation-Invariant Wavelet De-Noising with Multi-Thresholding Function (다중 임계치 함수의 TI 웨이브렛 잡음제거 기법)

  • Choi, Jae-Yong
    • The Journal of the Acoustical Society of Korea
    • /
    • v.25 no.7
    • /
    • pp.333-338
    • /
    • 2006
  • This paper proposes an improved do-noising method using multi-thresholding function based on translation-invariant (W) wavelet proposed by Donoho et al. for underwater radiated noise measurement. The traditional wavelet thresholding de-noising method causes Pseudo-Gibbs phenomena near singularities due to discrete wavelet transform. In order to suppress Pseudo-Gibbs Phenomena, a do-noising method combining multi-thresholding function with the translation-invariant wavelet transform is proposed in this paper. The multi-thresholding function is a modified soft-thresholding to each node according to the discriminated threshold so as to reject かon external noise and white gaussian noise. It is verified by numerical simulation. And the experimental results are confirmed through sea-trial using multi-single sensors.

Quantitative Assessment of the Radiation Exposure during Pathologic Process in the Sentinel Iymph Node Biopsy using Radioactive Colloid (방사성 콜로이드를 이용한 감시림프절 생검 병리처리과정에서 방사선 피폭의 정량적 평가)

  • Song, Yoo-Sung;Lee, Jeong-Won;Lee, Ho-Young;Kim, Seok-Ki;Kang, Keon-Wook;Kook, Myeong-Cherl;Park, Weon-Seo;Lee, Geon-Kook;Hong, Eun-Kyung;Lee, Eun-Sook
    • Nuclear Medicine and Molecular Imaging
    • /
    • v.41 no.4
    • /
    • pp.309-316
    • /
    • 2007
  • Purpose: Sentinel lymph node biopsy became the standard procedure in early breast cancer surgery. Faculty members might be exposed to a trace amount of radiation. The aim of this study is to quantify the radiation exposure and verify the safety of the procedure and the facilities, especially during pathologic process. Materials and Methods: Sentinel lymph node biopsies with Tc-99m human serum albumin were performed as routine clinical work. Exposed radiation doses were measured in pathologic technologist, nuclear medicine technologist, and nuclear medicine physician using a thermoluminescence dosimeter (TLD) during one month. We also measured the residual radioactivities or absorbed dose rates, the exposure distance and time during procedure, the radiation dose of the waste and the ambient equivalent dose of the pathology laboratory. Results: Actual exposed doses were 0.21 and 0.85 (uSv/study) for the whole body and hand of pathology technologist after 47 sentinel node pathologic preparations were performed. Whole body exposed doses of nuclear medicine physician and technologist were 0.2 and 2.3 (uSv/study). According to this data and the exposure threshold of the general population (1 mSv), at least 1100 studies were allowed in pathology technologist. The calculated exposed dose rates (${\mu}$ Sv/study) from residual radioactivities data were 2.47/ 22.4 ${\mu}$ Sv (whole body/hand) for the surgeon; 0.22/ 0 ${\mu}$ Sv for operation nurse. The ambient equivalent dose of the pathology laboratory was 0.02-0.03 mR/hr. The radiation dose of the waste was less than 100 Bq/g and nearly was not detected. Conclusion: Pathologic procedure relating sentinel lymph node biopsy using radioactive colloid is safe in terms of the radiation safety.(Nucl Med Mol Imaging 2007;41(4);309-316)

Automated Areal Feature Matching in Different Spatial Data-sets (이종의 공간 데이터 셋의 면 객체 자동 매칭 방법)

  • Kim, Ji Young;Lee, Jae Bin
    • Journal of Korean Society for Geospatial Information Science
    • /
    • v.24 no.1
    • /
    • pp.89-98
    • /
    • 2016
  • In this paper, we proposed an automated areal feature matching method based on geometric similarity without user intervention and is applied into areal features of many-to-many relation, for confusion of spatial data-sets of different scale and updating cycle. Firstly, areal feature(node) that a value of inclusion function is more than 0.4 was connected as an edge in adjacency matrix and candidate corresponding areal features included many-to-many relation was identified by multiplication of adjacency matrix. For geometrical matching, these multiple candidates corresponding areal features were transformed into an aggregated polygon as a convex hull generated by a curve-fitting algorithm. Secondly, we defined matching criteria to measure geometrical quality, and these criteria were changed into normalized values, similarity, by similarity function. Next, shape similarity is defined as a weighted linear combination of these similarities and weights which are calculated by Criteria Importance Through Intercriteria Correlation(CRITIC) method. Finally, in training data, we identified Equal Error Rate(EER) which is trade-off value in a plot of precision versus recall for all threshold values(PR curve) as a threshold and decided if these candidate pairs are corresponding pairs or not. To the result of applying the proposed method in a digital topographic map and a base map of address system(KAIS), we confirmed that some many-to-many areal features were mis-detected in visual evaluation and precision, recall and F-Measure was highly 0.951, 0.906, 0.928, respectively in statistical evaluation. These means that accuracy of the automated matching between different spatial data-sets by the proposed method is highly. However, we should do a research on an inclusion function and a detail matching criterion to exactly quantify many-to-many areal features in future.

Prognostic Threshold of Neuroendocrine Differentiation in Gastric Carcinoma: a Clinicopathological Study of 945 Cases

  • Zou, Yi;Chen, Linying;Wang, Xingfu;Chen, Yupeng;Hu, Liwen;Zeng, Saifan;Wang, Pengcheng;Li, Guoping;Huang, Ming;Wang, Liting;He, Shi;Li, Sanyan;Jian, Lihui;Zhang, Sheng
    • Journal of Gastric Cancer
    • /
    • v.19 no.1
    • /
    • pp.121-131
    • /
    • 2019
  • Purpose: The significance of neuroendocrine differentiation (NED) in gastric carcinoma (GC) is controversial, leading to ambiguous concepts in traditional classifications. This study aimed to determine the prognostic threshold of meaningful NED in GC and clarify its unclear features in existing classifications. Materials and Methods: Immunohistochemical staining for synaptophysin, chromogranin A, and neural cell adhesion molecule was performed for 945 GC specimens. Survival analysis was performed using the log-rank test and univariate/multivariate models with percentages of NED ($P_{NED}$) and demographic and clinicopathological parameters. Results: In total, 275 (29.1%) cases were immunoreactive to at least 1 neuroendocrine (NE) marker. GC-NED was more common in the upper third of the stomach. $P_{NED}$, and Borrmann's classification and tumor, lymph node, metastasis stages were independent prognostic factors. The cutoff $P_{NED}$ was 10%, beyond which patients had significantly worse outcomes, although the risk did not increase with higher $P_{NED}$. Tumors with ${\geq}10%$ NED tended to manifest as Borrmann type III lesion with mixed/diffuse morphology and poorer histological differentiation; the NE components in this population mainly grew in insulae/nests, which differed from the predominant growth pattern (glandular/acinar) in GC with <10% NED. Conclusions: GC with ${\geq}10%$ NED should be classified as a distinct subtype because of its worse prognosis, and more attention should be paid to the necessity of additional therapeutics for NE components.

The Flood Water Stage Prediction based on Neural Networks Method in Stream Gauge Station (하천수위표지점에서 신경망기법을 이용한 홍수위의 예측)

  • Kim, Seong-Won;Salas, Jose-D.
    • Journal of Korea Water Resources Association
    • /
    • v.33 no.2
    • /
    • pp.247-262
    • /
    • 2000
  • In this paper, the WSANN(Water Stage Analysis with Neural Network) model was presented so as to predict flood water stage at Jindong which has been the major stream gauging station in Nakdong river basin. The WSANN model used the improved backpropagation training algorithm which was complemented by the momentum method, improvement of initial condition and adaptive-learning rate and the data which were used for this study were classified into training and testing data sets. An empirical equation was derived to determine optimal hidden layer node between the hidden layer node and threshold iteration number. And, the calibration of the WSANN model was performed by the four training data sets. As a result of calibration, the WSANN22 and WSANN32 model were selected for the optimal models which would be used for model verification. The model verification was carried out so as to evaluate model fitness with the two-untrained testing data sets. And, flood water stages were reasonably predicted through the results of statistical analysis. As results of this study, further research activities are needed for the construction of a real-time warning of the impending flood and for the control of flood water stage with neural network method in river basin. basin.

  • PDF

Hierarchical GMPLS Label Merging Implementation methods Using ns-2 simulator (ns-2 시뮬레이터를 이용한 계층 구조를 갖는 GMPLS 레이블 머징 구현 방안)

  • Kim, Kyoung-Mok;Oh, Young-Hwan
    • Journal of the Institute of Electronics Engineers of Korea TC
    • /
    • v.43 no.11 s.353
    • /
    • pp.200-209
    • /
    • 2006
  • In recent years, studies on effective data services based on GMPLS are introduced so as to support excessive internet traffic. and filled operation can reduce transmission effectiveness. In this thesis we proposed merging algorithm with hierarchical structure and implementation procedure using ns -2 simulator. The structure composed of tunnel nodes and general nodes. Each node has threshold processing time. Result of that, the operation labels can be calculated. In order to evaluate the performance, we used ns-2 network simulator tool and used variable time parameters. The evaluated values can be used in surplus wavelength and be Possible to process additional traffic. Label merging will bring a decrease in the cost of channel sources for future network configuration.

An Energy-Efficient Clustering Scheme in Underwater Acoustic Sensor Networks (수중음향 센서 네트워크에서 효율적인 저전력 군집화 기법)

  • Lee, Jae-Hun;Seo, Bo-Min;Cho, Ho-Shin
    • The Journal of the Acoustical Society of Korea
    • /
    • v.33 no.5
    • /
    • pp.341-350
    • /
    • 2014
  • In this paper, an energy efficient clustering scheme using self organization method is proposed. The proposed scheme selects a cluster head considering not only the number of neighbor nodes but also the residual battery amount. In addition, the network life time is extended by re-selecting the cluster heads only in case the current cluster head's residual energy falls down below a certain threshold level. Accordingly, the energy consumption is evenly distributed over the entire network nodes. The cluster head delivers the collected data from member nodes to a Sink node in a way of multi-hop relaying. In order to evaluate the proposed scheme, we run computer simulation in terms of the total residual amount of battery, the number of alive nodes after a certain amount of time, the accumulated energy cost for network configuration, and the deviation of energy consumption of all nodes, comparing with LEACH which is one of the most popular network clustering schemes. Numerical results show that the proposed scheme has twice network life-time of LEACH scheme and has much more evenly distributed energy consumption over the entire network.

Design and Evaluation of a Weighted Intrusion Detection Method for VANETs (VANETs을 위한 가중치 기반 침입탐지 방법의 설계 및 평가)

  • Oh, Sun-Jin
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.11 no.3
    • /
    • pp.181-188
    • /
    • 2011
  • With the rapid proliferation of wireless networks and mobile computing applications, the landscape of the network security has greatly changed recently. Especially, Vehicular Ad Hoc Networks maintaining network topology with vehicle nodes of high mobility are self-organizing Peer-to-Peer networks that typically have short-lasting and unstable communication links. VANETs are formed with neither fixed infrastructure, centralized administration, nor dedicated routing equipment, and vehicle nodes are moving, joining and leaving the network with very high speed over time. So, VANET-security is very vulnerable for the intrusion of malicious and misbehaving nodes in the network, since VANETs are mostly open networks, allowing everyone connection without centralized control. In this paper, we propose a weighted intrusion detection method using rough set that can identify malicious behavior of vehicle node's activity and detect intrusions efficiently in VANETs. The performance of the proposed scheme is evaluated by a simulation study in terms of intrusion detection rate and false alarm rate for the threshold of deviation number ${\epsilon}$.

Spectrum Sharing Method for Cognitive Radio in TV White Spaces: Enhancing Spectrum Sensing and Geolocation Database

  • Hassan, Walid A.;Jo, Han-Shin;Nekovee, Maziar;Leow, Chee Yen;Rahman, Tharek Abd
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.6 no.8
    • /
    • pp.1894-1912
    • /
    • 2012
  • This paper proposes a system called Wireless Link based on Global Communication Channel (WLGCC) to enhance the spectrum sharing between digital broadcasting (DB) services and the cognitive radio (CR) system in the licensed band of 470-790 MHz. The WLGCC aims to enhance the spectrum sensing and geolocation database (GLD) spectrum sharing methods in the CR system. Spectrum sensing can be enhanced by receiving the status of the used frequencies from the WLGCC, thereby eliminating the need for a low detection threshold (i.e., avoiding the hidden node problem). In addition, the GLD can be enhanced by providing a reliable communication link between the database and the CR device in the form of an unused TV white space that is reserved as the proposed Global Communication Channel (GCC). This paper analyzes the coexistence of the new WLGCC system and the DB service in terms of avoiding additional interference. Specifically, we mathematically determine the WLGCC parameters, such as the in-band and out-of-band power levels, and operation coverage, and verify them using Monte Carlo simulation. The results show that WLGCC does not degrade the existing DB service and reliably transmits information of the vacant (or used) frequency bands to the CR.

A Dynamic Clustering Mechanism Considering Energy Efficiency in the Wireless Sensor Network (무선 센서 네트워크에서 에너지 효율성을 고려한 동적 클러스터링 기법)

  • Kim, Hwan;Ahn, Sanghyun
    • KIPS Transactions on Computer and Communication Systems
    • /
    • v.2 no.5
    • /
    • pp.199-202
    • /
    • 2013
  • In the cluster mechanism of the wireless sensor network, the network lifetime is affected by how cluster heads are selected. One of the representative clustering mechanisms, the low-energy adaptive clustering hierarchy (LEACH), selects cluster heads periodically, resulting in high energy consumption in cluster reconstruction. On the other hand, the adaptive clustering algorithm via waiting timer (ACAWT) proposes a non-periodic re-clustering mechanism that reconstructs clusters if the remaining energy level of a cluster head reaches a given threshold. In this paper, we propose a re-clustering mechanism that uses multiple remaining node energy levels and does re-clustering when the remaining energy level of a cluster head reaches one level lower. Also, in determining cluster heads, both of the number of neighbor nodes and the remaining energy level are considered so that cluster heads can be more evenly placed. From the simulations based on the Qualnet simulator, we validate that our proposed mechanism outperforms ACAWT in terms of the network lifetime.