• Title/Summary/Keyword: Prior Probability

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A Novel Resource Allocation Algorithm in Multi-media Heterogeneous Cognitive OFDM System

  • Sun, Dawei;Zheng, Baoyu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.4 no.5
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    • pp.691-708
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    • 2010
  • An important issue of supporting multi-users with diverse quality-of-service (QoS) requirements over wireless networks is how to optimize the systematic scheduling by intelligently utilizing the available network resource while, at the same time, to meet each communication service QoS requirement. In this work, we study the problem of a variety of communication services over multi-media heterogeneous cognitive OFDM system. We first divide the communication services into two parts. Multimedia applications such as broadband voice transmission and real-time video streaming are very delay-sensitive (DS) and need guaranteed throughput. On the other side, services like file transmission and email service are relatively delay tolerant (DT) so varying-rate transmission is acceptable. Then, we formulate the scheduling as a convex optimization problem, and propose low complexity distributed solutions by jointly considering channel assignment, bit allocation, and power allocation. Unlike prior works that do not care computational complexity. Furthermore, we propose the FAASA (Fairness Assured Adaptive Sub-carrier Allocation) algorithm for both DS and DT users, which is a dynamic sub-carrier allocation algorithm in order to maximize throughput while taking into account fairness. We provide extensive simulation results which demonstrate the effectiveness of our proposed schemes.

Defense Strategy against Multiple Anti-Ship Missiles using Anti-Air Missiles (다수 대함유도탄에 대한 함정의 대공방어유도탄 운용기법 연구)

  • Kim, Do-Wan;Yun, Joong-Sup;Ryoo, Chang-Kyung
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.39 no.4
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    • pp.354-361
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    • 2011
  • In this paper, an efficient defense strategy of single naval ship using short range anti-air missiles against the threat of multiple anti-ship missiles is suggested. The defense logic is based on the estimated future trajectory of anti-ship missiles by using current radar information. The logic is designed to maximize the range of interception of anti-ship missiles so that the chance of interception can be increased although the prior tries turn out to be fail. Basically, the decision making for the allocation of a defense missile is achieved by comparing the total kill probability and the estimated intercepting point. Performance of the proposed logic is investigated by nonlinear planar numerical simulations.

Evaluating the Performance of Four Selections in Genetic Algorithms-Based Multispectral Pixel Clustering

  • Kutubi, Abdullah Al Rahat;Hong, Min-Gee;Kim, Choen
    • Korean Journal of Remote Sensing
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    • v.34 no.1
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    • pp.151-166
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    • 2018
  • This paper compares the four selections of performance used in the application of genetic algorithms (GAs) to automatically optimize multispectral pixel cluster for unsupervised classification from KOMPSAT-3 data, since the selection among three main types of operators including crossover and mutation is the driving force to determine the overall operations in the clustering GAs. Experimental results demonstrate that the tournament selection obtains a better performance than the other selections, especially for both the number of generation and the convergence rate. However, it is computationally more expensive than the elitism selection with the slowest convergence rate in the comparison, which has less probability of getting optimum cluster centers than the other selections. Both the ranked-based selection and the proportional roulette wheel selection show similar performance in the average Euclidean distance using the pixel clustering, even the ranked-based is computationally much more expensive than the proportional roulette. With respect to finding global optimum, the tournament selection has higher potential to reach the global optimum prior to the ranked-based selection which spends a lot of computational time in fitness smoothing. The tournament selection-based clustering GA is used to successfully classify the KOMPSAT-3 multispectral data achieving the sufficient the matic accuracy assessment (namely, the achieved Kappa coefficient value of 0.923).

A Study on the Musculoskeletal Disorders in Petrochemical Industry (석유화학산업의 근골격계질환 실태에 관한 연구)

  • Park, Jung-Sik
    • Journal of the Korea Safety Management & Science
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    • v.8 no.3
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    • pp.77-86
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    • 2006
  • After conducting an investigation of a specific workplace, 372 labor workers, who are employed at a certain domestic petrochemical company valve operating and maintenance processing section, were personally questioned about specific work-related ailments. According to the results, 57% of workers who were working in the petrochemical industry have suffered from pain-related musculoskeletal disorders in, at least, more than 1 body part. Specifically, there are more than 28% of workers suffering from pain in more than two body parts. Among the total work population, 18.8 % of workers are assumed to have a high probability of being diagnosed with musculoskeletal disorder. Also, according to the RULA checklist which evaluates environmental improvement conditions of the workplace, 76.7% of workplaces among the inspected areas have high hazardous work factors that are related to musculoskeletal disorder and needs to be improved upon and observed right away or in the foreseeable future. The prior factor has a high correlation and pain rate which is due to an improper work posture. Originally, this improper work posture is caused mostly by ergonomically incorrect facility design. Furthermore, the structure of the workplace does not consider the worker's individual build.

A Secure Key Predistribution Scheme for WSN Using Elliptic Curve Cryptography

  • Rajendiran, Kishore;Sankararajan, Radha;Palaniappan, Ramasamy
    • ETRI Journal
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    • v.33 no.5
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    • pp.791-801
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    • 2011
  • Security in wireless sensor networks (WSNs) is an upcoming research field which is quite different from traditional network security mechanisms. Many applications are dependent on the secure operation of a WSN, and have serious effects if the network is disrupted. Therefore, it is necessary to protect communication between sensor nodes. Key management plays an essential role in achieving security in WSNs. To achieve security, various key predistribution schemes have been proposed in the literature. A secure key management technique in WSN is a real challenging task. In this paper, a novel approach to the above problem by making use of elliptic curve cryptography (ECC) is presented. In the proposed scheme, a seed key, which is a distinct point in an elliptic curve, is assigned to each sensor node prior to its deployment. The private key ring for each sensor node is generated using the point doubling mathematical operation over the seed key. When two nodes share a common private key, then a link is established between these two nodes. By suitably choosing the value of the prime field and key ring size, the probability of two nodes sharing the same private key could be increased. The performance is evaluated in terms of connectivity and resilience against node capture. The results show that the performance is better for the proposed scheme with ECC compared to the other basic schemes.

The Effect of Mindfulness Meditation Programs on Nursing College Students' Perceived Stress, Depression, and Self-efficacy (마음챙김 명상프로그램이 간호대학생의 스트레스 지각, 우울 및 자아효능감에 미치는 효과)

  • Yeom, Young-Ran;Choi, Keum-Bong
    • Journal of East-West Nursing Research
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    • v.19 no.2
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    • pp.104-113
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    • 2013
  • Purpose: Due to the academic demands from a theory and practice-based educational program, nursing students often experience psychological burdens. The purpose of this study was to investigate the effect of mindfulness meditation programs on nursing students' perceived stress, depression, and self-efficacy. Methods: A quasi-experimental study with a non-equivalent control group pretest-posttest design was used. Participants were recruited from two nursing colleges. The sample consisted of an intervention group (n=29) that participated in a mindfulness meditation program and a control group (n=30). The experimental group participated in the program for 120 minutes a week for a total of 8 sessions. The data were collected prior and after the intervention using self-administered questionnaires. Data were analyzed using descriptive statistics, $X^2$-test, Fisher's exact probability test, and the t-test. Results: After the application of the mindfulness meditation program, the experimental group showed a significant difference in perceived stress(t=-10.33, p<.001), depression (t=-2.17, p=.035), and self-efficacy (t=2.57, p=.013) scores. However, there was no significant differrence in the control group. Conclusion: These findings provide a supportive evidence of mindfulness meditation program as a behavioral intervention to reduce stress, depression and increase self-efficacy among nursing students.

Effect of Tai Chi Exercise on Fatigue, Anxiety, and Sleep Patterns in Nursing Students (타이치 운동이 간호대학생의 피로, 불안 및 수면양상에 미치는 효과)

  • Park, Young Ju;Kim, Ja Ok
    • Journal of muscle and joint health
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    • v.23 no.1
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    • pp.61-69
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    • 2016
  • Purpose: The purpose of this study was to determine the effect of the Tai Chi exercise program (Sun style 31 forms) on fatigue, anxiety, and sleep patterns in nursing students. Methods: A quasi-experimental study with a non-equivalent control group pretest-posttest design was used. Nursing students who participated in this study were assigned to an experimental group (n=24), and a control group (n=26). The experimental group participated in Tai Chi exercise program for 60 minutes per session, and 3 times a week for 7 weeks. The Tai Chi exercise program consisted of 10 minutes for warm-up, 45 minutes for main session, and 5 minutes for cooling down exercises. The data were collected prior and after the intervention using self-administered questionnaires. Data were analyzed using descriptive statistics, $x^2$-test, Fisher's exact probability, t -test, and the general linear model. Results: After the application of the program, the experimental group showed a significant difference in fatigue (F=20.62, p<.001), anxiety (F=16.96, p<.001), and sleep pattern (F=15.70, p<.001) scores. Conclusion: These findings show that the Tai Chi exercise program can be an effective nursing intervention to improve sleep pattern and to reduce fatigue and anxiety in nursing students.

Increasing Throughput in Energy-Based Opportunistic Spectrum Access Energy Harvesting Cognitive Radio Networks

  • Yao, Yuanyuan;Yin, Changchuan;Song, Xiaoshi;Beaulieu, Norman C.
    • Journal of Communications and Networks
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    • v.18 no.3
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    • pp.340-350
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    • 2016
  • The performance of large-scale cognitive radio (CR) networks with secondary users sustained by opportunistically harvesting radio-frequency (RF) energy from nearby primary transmissions is investigated. Using an advanced RF energy harvester, a secondary user is assumed to be able to collect ambient primary RF energy as long as it lies inside the harvesting zone of an active primary transmitter (PT). A variable power (VP) transmission mode is proposed, and an energy-based opportunistic spectrum access (OSA) strategy is considered, under which a secondary transmitter (ST) is allowed to transmit only if its harvested energy is larger than a predefined transmission threshold and it is outside the guard zones of all active PTs. The transmission probability of the STs is derived. The outage probabilities and the throughputs of the primary and the secondary networks, respectively, are characterized. Compared with prior work, the throughput can be increased by as much as 29%. The energy-based OSA strategy can be generally applied to a non-CR setup, where distributed power beacons (PBs) are deployed to power coexisting wireless signal transmitters (WSTs) in a wireless powered sensor network.

A Bayesian Regression Model to Estimate the Deterioration Rate of Track Irregularities (궤도틀림 진전율 추정을 위한 베이지안 회귀분석 모형 연구)

  • Park, Bum Hwan
    • Journal of the Korean Society for Railway
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    • v.19 no.4
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    • pp.547-554
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    • 2016
  • This study considered how to estimate the deterioration rate of the track quality index, which represents track geometric irregularity. Most existing studies have used a simple linear regression and regarded the slope of the regression equation as the progress rate. In this paper, we present a Bayesian approach to estimate the track irregularity progress. This Bayesian approach has many advantages, among which the biggest is that it can formally include the prior distribution of parameters which can be derived from historic data or from expert experiences; then, the rate can be expressed as a probability distribution. We investigated the possibility of applying the Bayesian method to the estimation of the deterioration rate by comparing our bayesian approach to the conventional linear regression approach.

Seismic Fragility of Steel Piping System Based on Pipe Size, Coupling Type, and Wall Thickness

  • Ju, Bu Seog;Gupta, Abhinav;Ryu, Yonghee
    • International journal of steel structures
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    • v.18 no.4
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    • pp.1200-1209
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    • 2018
  • In this study, a probabilistic framework of the damage assessment of pipelines subjected to extreme hazard scenario was developed to mitigate the risk and enhance design reliability. Nonlinear 3D finite element models of T-joint systems were developed based on experimental tests with respect to leakage detection of black iron piping systems, and a damage assessment analysis of the vulnerability of their components according to nominal pipe size, coupling type, and wall thickness under seismic wave propagations was performed. The analysis results showed the 2-inch schedule 40 threaded T-joint system to be more fragile than the others with respect to the nominal pipe sizes. As for the coupling types, the data indicated that the probability of failure of the threaded T-joint coupling was significantly higher than that of the grooved type. Finally, the seismic capacity of the schedule 40 wall thickness was weaker than that of schedule 10 in the 4-inch grooved coupling, due to the difference in the prohibition of energy dissipation. Therefore, this assessment can contribute to the damage detection and financial losses due to failure of the joint piping system in a liquid pipeline, prior to the decision-making.