• Title/Summary/Keyword: Periodic Monitoring

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A Marking Algorithm for QoS Provisioning in WMSN (WMSN에서 QoS 보장을 위한 마킹 알고리즘)

  • Kim, Jeonghue;Lee, Sungkeun;Koh, Jingwang;Jung, Changryul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.5 no.2
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    • pp.193-204
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    • 2010
  • Since Wireless Multimedia Sensor Network(WMSN) needs to process various multimedia data such as audio, image and video data as well as scalar data, it requires a mechanism that can support Quality of Service(QoS) to handle efficiently. This paper classifies traffic in WMSN as periodic monitoring traffic, event traffic, multimedia traffic and query-based traffic, proposes marking algorithm and queue management mechanism that guarantee differentiated QoS in terms of delay, energy efficiency and credibility on each traffic and conduct performance analysis with simulation.

Effects of a Self-regulation Program on Blood Pressure Control and Self-Care in Patient with Essential Hypertension (자기조절프로그램이 고혈압환자의 혈압 및 자가간호행위에 미치는 효과)

  • Choo, Hyang Im;Kim, Gwang Suk
    • Journal of Korean Academy of Rural Health Nursing
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    • v.6 no.1
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    • pp.33-43
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    • 2011
  • Purpose: This study was done to verify the effects of a self-regulation program for management of hypertension. Method: Thirty patients with hypertension registered in a community health center were selected as the experiment group, and control group were patients in another community health center, matched for age and gender. The self-regulation program included daily blood pressure checks, periodic counseling, and health education. A self-check digital device with instructions was provided for self-monitoring of blood pressure, and the participants were interviewed before they took part in the program. Results: The first hypothesis was supported: There will be a greater reduction in both systolic and diastolic blood pressure for patients with hypertension who participate in the self-regulation program compared to patients in the control group. The second hypothesis was also supported: Patients with hypertension who participate in the self-regulation program will perform self-care activities better than those in the control group. Conclusion: The findings indicate that a self-regulation program reduces systolic and diastolic blood pressure and improves self-care in patients with hypertension. It is recommended that this self-regulation program be used in community health clinics for management of hypertension and prevention of complications.

RADIO VARIABILITY AND RANDOM WALK NOISE PROPERTIES OF FOUR BLAZARS

  • PARK, JONG-HO;TRIPPE, SASCHA
    • Publications of The Korean Astronomical Society
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    • v.30 no.2
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    • pp.433-437
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    • 2015
  • We show the results of a time series analysis of the long-term light curves of four blazars. 3C 279, 3C 345, 3C 446, and BL Lacertae. We used densely sampled light curves spanning 32 years at three frequency bands (4.8, 8, 14.5 GHz), provided by the University of Michigan Radio Astronomy Observatory monitoring program. The spectral indices of our sources are mostly flat or inverted (-0.5 < ${\alpha}$ < 0), which is consistent with optically thick emission. Strong variability was seen in all light curves on various time scales. From the analyses of time lags between the light curves from different frequency bands and the evolution of the spectral indices with time, we find that we can distinguish high-peaking flares and low-peaking flares according to the Valtaoja et al. classification. The periodograms (temporal power spectra) of the light curves are in good agreement with random-walk power-law noise without any indication of (quasi-)periodic variability. We note that random-walk noise light curves can originate from multiple shocks in jets. The fact that all our sources are in agreement with being random-walk noise emitters at radio wavelengths suggests that such behavior is a general property of blazars. We are going to generalize our approach by applying our methodology to a much larger blazar sample in the near future.

Partial Discharge Monitoring for $SF_6$ Insulated MV Switchgear using UHF sensors (UHF Sensor를 이용한 SF6 절연 MV 개폐기의 부분방전 검출 시스템)

  • Lee, Do-Hoon;Kang, Won-Jong;Shin, Yang-Sop;Kim, Young-Geun;Oh, Il-Sung;Kim, Dong-Myung;Kwon, Tae-Ho
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.2040-2041
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    • 2007
  • In this paper, the UHF PD(Partial Discharge) sensors for $SF_6$ insulated MV $SF_6$ switchgear have been proposed and related investigations have been performed in order to detect the PD which were produced inside the MV $SF_6$ switchgear. Firstly, the internal type UHF PD sensor based on spiral antenna theory has been developed. This type sensor is highly sensitive and has lowly effect on by on-site noise. Secondly, the external type UHF PD sensor was developed based on log periodic antenna concept. This type sensor is removable and detectable for operating switchgear. These sensors were designed and simulated using RF simulation tool. In order to verify the sensitivity of these sensors, we performed the on-site test using the mock-up switchgears including the artificial defects which were the protrusion on high voltage conductor, free moving metal particle and surface defect on insulator. These mock-up switchgear were installed on the test distribution line.

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Attacks, Detection, and Countermeasures in WSN Network Layer (WSN의 네트워크 계층에서의 공격과 탐지 및 대응 방안)

  • Lee, Daeun;Rhee, Eugene
    • Journal of IKEEE
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    • v.23 no.2
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    • pp.413-418
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    • 2019
  • Attacks on existing sensor networks include sniffing, flooding, and spoofing attacks. The basic countermeasures include encryption and authentication methods and switching methods. Wormhole attack, HELLO flood attack, Sybil attack, sinkhole attack, and selective delivery attack are the attacks on the network layer in wireless sensor network (WSN). These attacks may not be defended by the basic countmeasures mentioned above. In this paper, new countermeasures against these attacks include periodic key changes and regular network monitoring. Moreover, we present various threats (attacks) in the network layer of wireless sensor networks and new countermeasures accordingly.

A Study on Countermeasures Against Cyber Infringement Considering CPTED

  • Lim, Heon-Wook
    • International Journal of Advanced Culture Technology
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    • v.9 no.2
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    • pp.106-117
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    • 2021
  • The aim is to find cyber measures in consideration of physical CPTED in order to prepare countermeasures for cybercrime prevention. For this, the six applied principles of CPTED were used as the standard. A new control item was created in connection with the control items of ISO27001. A survey was conducted on former and current investigators and security experts. As a result of the reliability analysis, the Kronbar alpha coefficient value was 0.947, indicating the reliability of the statistical value. As a result of factor analysis, it was reduced to six factors. The following are six factors and countermeasures. Nature monitoring blocks opportunities and strengthens business continuity. Access control is based on management system compliance, personnel security. Reinforcement of territoriality is reinforcement of each wife and ethics. Establishment of security policy to enhance readability, security system maintenance. Increasing usability is seeking ways to utilize, periodic incentives. For maintenance, security education is strength and security-related collective cooperation is conducted. The differentiation of this study was to find countermeasures against cybercrime in the psychological part of the past. However, they approached to find in cyber measures. The limitation of the study is to bring the concept of physical CPTED to the cyber concept.

MTReadable: Arabic Readability Corpus for Medical Tests Information

  • Alahmdi, Dimah;Alghamdi, Athir Saeed;Almuallim, Neda'a;Alarifi, Suaad
    • International Journal of Computer Science & Network Security
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    • v.21 no.5
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    • pp.84-89
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    • 2021
  • Medical tests are very important part of the health monitoring process. It is performed for various reasons like diagnosing diseases, determining medications effectiveness, etc. Due to that, patients should be able to read and understand the available online tests and results in order to take proper decisions regarding their health condition. In fact, people are varying in their educational level and health backgrounds that make providing such information in an easily readable format by the majority of people considered as a challenge in the health domain since ever. This paper describes the MTReadable corpus which constructed for evaluating the readability of online medical tests. It covered 32 basic periodic check-up tests with over 36k words. These tests information are annotated and labelled based on three readability levels which are easy, neutral and difficult by three non-specialists native Arabic speakers. This paper contributes to enriching the Arabic health research community with an investigation of the level of readability of online medical tests and to be a baseline for further complex health online reports and information.

Semantic crack-image identification framework for steel structures using atrous convolution-based Deeplabv3+ Network

  • Ta, Quoc-Bao;Dang, Ngoc-Loi;Kim, Yoon-Chul;Kam, Hyeon-Dong;Kim, Jeong-Tae
    • Smart Structures and Systems
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    • v.30 no.1
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    • pp.17-34
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    • 2022
  • For steel structures, fatigue cracks are critical damage induced by long-term cycle loading and distortion effects. Vision-based crack detection can be a solution to ensure structural integrity and performance by continuous monitoring and non-destructive assessment. A critical issue is to distinguish cracks from other features in captured images which possibly consist of complex backgrounds such as handwritings and marks, which were made to record crack patterns and lengths during periodic visual inspections. This study presents a parametric study on image-based crack identification for orthotropic steel bridge decks using captured images with complicated backgrounds. Firstly, a framework for vision-based crack segmentation using the atrous convolution-based Deeplapv3+ network (ACDN) is designed. Secondly, features on crack images are labeled to build three databanks by consideration of objects in the backgrounds. Thirdly, evaluation metrics computed from the trained ACDN models are utilized to evaluate the effects of obstacles on crack detection results. Finally, various training parameters, including image sizes, hyper-parameters, and the number of training images, are optimized for the ACDN model of crack detection. The result demonstrated that fatigue cracks could be identified by the trained ACDN models, and the accuracy of the crack-detection result was improved by optimizing the training parameters. It enables the applicability of the vision-based technique for early detecting tiny fatigue cracks in steel structures.

Condition assessment model for residential road networks

  • Salman, Alaa;Sodangi, Mahmoud;Omar, Ahmed;Alrifai, Moath
    • Structural Monitoring and Maintenance
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    • v.8 no.4
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    • pp.361-378
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    • 2021
  • While the pavement rating system is being utilized for periodic road condition assessment in the Eastern Region municipality of Saudi Arabia, the condition assessment is costly, time-consuming, and not comprehensive as only few parts of the road are randomly selected for the assessment. Thus, this study is aimed at developing a condition assessment model for a specific sample of a residential road network in Dammam City based on an individual road and a road network. The model was developed using the Analytical Hierarchy Process (AHP) according to the defect types and their levels of severity. The defects were arranged according to four categories: structure, construction, environmental, and miscellaneous, which was adopted from sewer condition coding systems. The developed model was validated by municipality experts and was adjudged to be acceptable and more economical compared to results from the Eastern region municipality (Saudi Arabia) model. The outcome of this paper can assist with the allocation of the government's budget for maintenance and capital programs across all Saudi municipalities through maintaining road infrastructure assets at the required level of services.

Landslide Prediction with Angle of Repose Prediction Using 3D Spatial Coordinate System and Drone Image Detection (3차원 공간 좌표 시스템과 드론 영상 검출을 활용한 산사태 안식각 예측에 관한 연구)

  • Yong-Ju Chu;Soo-Young Lim;Seung-Yop Lee
    • Smart Media Journal
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    • v.12 no.3
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    • pp.77-84
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    • 2023
  • Forest fires are representative natural disasters resulting from dramatic global climate change in these modern times. When forest formation is insufficient due to forest damage caused by fire, secondary damages such as landslides occur during the winter thawing period and heavy rains. In most countries, only a limited area is managed as CCTV-centered monitoring systems for forest management. For the landslide prediction, markers containing 3D spatial coordinates were located on the slopes of the danger areas in advance. Then 3D mapping and angle of repose were obtained by periodic drone imaging. The recognition range and angle of view of markers were defined, and a new method for predicting signs of landslides in advance was presented in this study.