• Title/Summary/Keyword: Update Rate

Search Result 287, Processing Time 0.033 seconds

A Bayesian Approach to Replacement Policy Based on Cost and Downtime

  • Jung, Ki-Mun;Han, Sung-Sil
    • Journal of the Korean Data and Information Science Society
    • /
    • v.17 no.3
    • /
    • pp.743-752
    • /
    • 2006
  • This paper considers a Bayesian approach to replacement policy model with minimal repair. We use the criterion based on the expected cost and the expected downtime to determine the optimal replacement period. To do so, we obtain the expected cost rate per unit time and the expected downtime per unit time, respectively. When the failure time is Weibull distribution with uncertain parameters, a Bayesian approach is established to formally express and update the uncertain parameters for determining an optimal maintenance policy. Especially, the overall value function suggested by Jiagn and Ji(2002) is applied to obtain the optimal replacement period. The numerical examples are presented for illustrative purpose.

  • PDF

Subband Adaptive Algorithm for Convex Combination of LMS based Transversal Filters (LMS기반 트랜스버설 필터의 컨벡스조합을 위한 부밴드 적응알고리즘)

  • Sohn, Sang-Wook;Lee, Kyeong-Pyo;Choi, Hun;Bae, Hyeon-Deok
    • The Transactions of The Korean Institute of Electrical Engineers
    • /
    • v.62 no.1
    • /
    • pp.133-139
    • /
    • 2013
  • Convex combination of two adaptive filters is an efficient method to improve adaptive filter performances. In this paper, a subband convex combination method of two adaptive filters for fast convergence rate in the transient state and low steady state error is presented. The cost function of mixing parameter for a subband convex combination is defined, and from this, the coefficient update equation is derived. Steady state analysis is used to prove the stability of the subband convex combination. Some simulation examples in system identification scenario show the validity of the subband convex combination schemes.

Sjögren's Syndrome: an Update on Diagnostic, Clinical, and Basic Aspects for Oral Medicine Specialists

  • Lee, Kyung-Eun
    • Journal of Oral Medicine and Pain
    • /
    • v.43 no.4
    • /
    • pp.99-111
    • /
    • 2018
  • $Sj{\ddot{o}}gren^{\prime}s$ syndrome (SjS) is a common autoimmune disorder characterized by lymphocytic infiltration in the salivary and lacrimal glands, resulting in severe dry mouth or eyes. As a result, most of SjS patients suffer from oral dryness and can visit the department of oral medicine with or without diagnosis of SjS. Therefore, oral medicine specialists should know clues, which may indicate the diagnosis of SjS from the clinical and laboratory investigations. By the recent SjS criteria, SjS can be diagnosed by focus score, ocular staining, Schirmer's test, unstimulated whole saliva flow rate, and anti-SSA/Ro antibodies. The aim of this article is to review the diagnostic criteria, clinical investigation, and basic aspect related to SjS and to make oral medicine specialists play an important role in the detection of emerging SjS.

A Design and Performance Evaluation of Concurrent Synchronization System of Multiple Client on a Mobile Environments (모바일 환경에서 다수 클라이언트의 동시 동기화 시스템 설계 및 성능 평가)

  • Kim, Hong-Ki;Kim, Dong-Hyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2009.05a
    • /
    • pp.217-220
    • /
    • 2009
  • The two-way synchronization system in mobile environment processes synchronization of multi clients by order. In this case, that a synchronization operation, which takes long time to process, makes other clients wait is a problem. In this paper, treats to design and materialize a system which processes synchronization operations between clients without update conflicts as using multi queues. Also, compares performance between the simultaneous synchronization and the synchronization in consecutive order by the rate of process term of synchronization operation and the pattern of operation process.

  • PDF

Performance of MIMO-OFDMA system combining power controlling algorithm with multi-beamformer

  • Kim, Chan Kyu
    • International Journal of Internet, Broadcasting and Communication
    • /
    • v.14 no.3
    • /
    • pp.69-78
    • /
    • 2022
  • In this paper, we propose the new technique adopting power control to MIMO(multi-input multi-output)-OFDMA(orthogonal frequency division multiplexing Access) system with multi-beamformer. The proposed power controlling algorithm for MIMO-OFDMA allocates the transmitting power of each subcarrier based on the CSI(channel state information) and the interference signal. CSI is feedback from base station to mobile station to decide the transmitting power of each subcarrier. Through the proposed technique, we can control iteratively the transmitting power and update the weight of beamformer simultaneously. Therefore, the SNIR of each subcarrier become to converge the target SNIR and the beam is formed toward the desired direction. And the performance of MIMO-OFDMA system with the proposed approach is very improved. The improvement in bit error rate is investigated through computer simulation of a MIMO-OFDMA system with the proposed approach.

Size Estimation for Shrimp Using Deep Learning Method

  • Heng Zhou;Sung-Hoon Kim;Sang-Cheol Kim;Cheol-Won Kim;Seung-Won Kang
    • Smart Media Journal
    • /
    • v.12 no.3
    • /
    • pp.112-119
    • /
    • 2023
  • Shrimp farming has been becoming a new source of income for fishermen in South Korea. It is often necessary for fishers to measure the size of the shrimp for the purpose to understand the growth rate of the shrimp and to determine the amount of food put into the breeding pond. Traditional methods rely on humans, which has huge time and labor costs. This paper proposes a deep learning-based method for calculating the size of shrimps automatically. Firstly, we use fine-tuning techniques to update the Mask RCNN model with our farm data, enabling it to segment shrimps and generate shrimp masks. We then use skeletonizing method and maximum inscribed circle to calculate the length and width of shrimp, respectively. Our method is simple yet effective, and most importantly, it requires a small hardware resource and is easy to deploy to shrimp farms.

Increased Trend of Breast Cancer Mortality in Iran

  • Taghavi, Afsoon;Fazeli, Zeinab;Vahedi, Mohsen;Baghestani, Ahmad Reza;Pourhoseingholi, Asma;Barzegar, Farnoosh;Pourhoseingholi, Mohamad Amin
    • Asian Pacific Journal of Cancer Prevention
    • /
    • v.13 no.1
    • /
    • pp.367-370
    • /
    • 2012
  • Background: Breast cancer is the most commonly diagnosed cancer in women worldwide In Iran, it ranks first among cancers diagnosed in women and is the fifth most common cause of death. The aim of this study was to present the mortality trends from breast cancer for Iranian women during a period of almost a decade, in order to provide update information regarding the likely future. Methods: We analyzed National death Statistic reported by the Iranian Ministry of Health and Medical Education from 1995 to 2004 to generate annual mortality rates/100,000, overall, by age group (<15, 15-49 and ${\geq}50$ years of age) and age standardized rate (ASR). Results: The age standardized mortality rate of breast cancer increased dramatically during these years from 1.40 to 3.52 per 100,000 and its mortality was increasing 151.4% for Iranian women, although it seemed that the rate leveled off from 2002 to 2004. Moreover the increasing rate was higher for those aged between 15-49 compared to age >50 years old. Conclusion: There is an increasing trend for breast cancer mortality in Iran. Thus, health education programs to rectify the lack of women awareness about breast cancer signs and effective screening are urgently needed.

Study on OSPF Routing Cost Functions for Wireless Environments (무선 환경을 고려한 OSPF 라우팅 비용함수 연구)

  • Shin, Dong Wook;Lee, Seung Hwan;Rhee, Seung Hyong;Lee, Hyung-Joo;Hoh, Mi-Jeong;Choi, Jeung-Won;Shin, Sang-Heon;Kim, Tae-Wan;Moon, Ho-Won
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.37C no.9
    • /
    • pp.829-840
    • /
    • 2012
  • Recently, in network communication environments, it is changing very fast from wired to wireless. The open shortest path firtst (OSPF), one of link state routing protocols, mainly used in wired networks, is the routing method to select optimal traffic path as identifying the link state of neighbor routers. The traditional OSPF cost functions performs with first fixed cost permanently, unless the router link is changed. However, in wireless networks, the performance of links show big difference by other environment factors. The bit error rate (BER), a parameter which can quite affect link state in wireless networks, is not considered in the traditional OSPF cost functions. Only a link bandwidth is considered in the traditional OSPF cost functions. In this paper, we verify the various parameters which can affect link performance, whether it is permissible to use as the parameter of proposed cost functions. To propose new cost functions, we use the effective bandwidth. This bandwidth is calculated by proposed formula using the BER of the network link and link bandwidth. As applied by the proposed triggering condition, the calculated effective bandwidth decrease the unstable of network by generating less link state update messages in wireless networks that frequently changes the link state. Simulation results show that the proposed cost functions significantly outperforms the traditional cost functions in wireless networks in terms of the services of VoIP and data transmission.

Development of an Evaluation Method for a Driver's Cognitive Workload Using ECG Signal (ECG 기반의 운전자별 인지 부하 평가 방법 개발)

  • Hong, Wongi;Lee, Wonsup;Jung, Kihyo;Lee, Baekhee;Park, Jangwoon;Park, Suwan;Park, Yunsuk;Son, Joonwoo;Park, Seikwon;You, Heecheon
    • Journal of Korean Institute of Industrial Engineers
    • /
    • v.40 no.3
    • /
    • pp.325-332
    • /
    • 2014
  • High cognitive workload decreases a driver's ability of judgement and response in traffic situation and could result in a traffic accident. Electrocardiography (ECG) has been used for evaluation of drivers' cognitive workload; however, individual differences in ECG response corresponding to cognitive workload have not been fully considered. The present study developed an evaluation method of individual driver's cognitive workload based on ECG data, and evaluated its usefulness through an experiment in a driving simulator. The evaluation method developed by the present study determined the optimal ECG evaluation condition for individual participant by analysis of area under the receiver operating characteristic curve (AUC) for various conditions (total number of conditions = 144) in terms of four aspects (ECG measure, window span, update rate, and workload level). AUC analysis on the various conditions showed that the optimal ECG evaluation condition for each participant was significantly different. In addition, the optimal ECG evaluation condition could accurately detect changes in cognitive workload for 47% of the total participants (n = 15). The evaluation method proposed in the present study can be utilized in the evaluation of individual driver's cognitive workload for an intelligent vehicle.

An Efficient Location Management Scheme for High-speed Mobile Nodes (고속으로 이동하는 노드들을 위한 효율적인 위치 갱신 기법)

  • 송의성;길준민;황종선
    • Journal of KIISE:Information Networking
    • /
    • v.30 no.5
    • /
    • pp.581-594
    • /
    • 2003
  • Recently, a location management is being more important in mobile communication systems due to an explosive increase of mobile users. Current systems have used a concept of location area. Based on this concept, a mobile user performs a location update whenever it moves into a new location area. However, this scheme can not avoid unnecessary location updates when a mobile user moves around with high movement rate as compared to call arrival rate. That results in tremendous location management cost. To overcome this drawback, our proposal divides service areas into two sets: One is a set of areas that mobile users move with high speed and another is a set of areas that they move with low speed. After establishing these two sets, this paper employs different location tracking schemes for each sets. Generally, most mobile users with high speed have a low CMR and a regular direction until they arrive at their destination. Using such the moving behavior, systems can predict a mobile user's next location area in advance. When the mobile user moves into the predicted location, our proposal does not perform a location update. Thus, it can reduce overall location management cost. The Markov model is used to analyze the performance of our proposal. Using the model, this paper compares our proposal with IS-41 and TLA. The analytic results show that as CMR grows lower, an overall cost of our proposal becomes less, particularly if a mobile user frequently moves into the specific location are predicted by mobile systems. Also, our proposal has a better performance than other two schemes when the communication cost between HLR and VLR is high.