Dynamic Time-slice Scaling for Addressing OS Problems Incurred by Main Memory DVFS in Intelligent System

Jia, Gangyong; Han, Guangjie; Jiang, Jinfang; Li, Aohan

doi:10.1007/s11036-015-0587-2

Cited by 6 publications

(8 citation statements)

References 19 publications

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“…Algorithm PPV NPV F Hui [11] 0.64 0.81 0.715 Zhang [32] 0.83 0.74 0.782 Yousef [12] 0.86 0.89 0.875 Song [41] 0.95 0.93 0.94 Our 0.88 0.99 0.93 final nucleus segmentation results of our method for synthetic datasets and EDF images.…”

Section: Discussionmentioning

confidence: 94%

“…Based on the EDF images from the testing dataset of ISBI2015, the algorithm in this paper is compared with the methods proposed by Hui [11], Zhang [32], Yousef [12], Song [41], respectively, on the three measurement methods of PPV, NPV, and F ( Table 5). From Table 5, the nucleus segmentation method described in this paper shows excellent performance under these three metrics, and its performance is generally higher than the first four methods.…”

Section: Resultsmentioning

confidence: 99%

“…Many scholars have proposed different methods for nucleus segmentation based on the ISBI2014 and ISBI2015 public datasets. The algorithms for nucleus segmentation are mainly divided into simple linear iterative clustering (SLIC) method [5][6][7][8], region-based segmentation method [7,[9][10][11][12][13], convolutional neural network (CNN) [14][15][16][17], and clustering method [18][19][20][21][22][23][24][25][26][27][28]. SLIC superpixel algorithm is one of the most popular nucleus segmentation methods currently.…”

Section: Introductionmentioning

confidence: 99%

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Nucleus segmentation of cervical cytology images based on multi-scale fuzzy clustering algorithm

et al. 2020

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In the screening of cervical cancer cells, accurate identification and segmentation of nucleus in cell images is a key part in the early diagnosis of cervical cancer. Overlapping, uneven staining, poor contrast, and other reasons present challenges to cervical nucleus segmentation. We propose a segmentation method for cervical nuclei based on a multi-scale fuzzy clustering algorithm, which segments cervical cell clump images at different scales. We adopt a novel interesting degree based on area prior to measure the interesting degree of the node. The application of these two methods not only solves the problem of selecting the categories number of the clustering algorithm but also greatly improves the nucleus recognition performance. The method is evaluated by the IBSI2014 and IBSI2015 public datasets. Experiments show that the proposed algorithm has greater advantages than the state-of-the-art cervical nucleus segmentation algorithms and accomplishes high accuracy nucleus segmentation results. ARTICLE HISTORY

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Section: Discussionmentioning

confidence: 94%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Nucleus segmentation of cervical cytology images based on multi-scale fuzzy clustering algorithm

et al. 2020

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“…As the technology is growing day by day, the inventions of new technologies and their applications had been growing day to day and increasing in number from time to time. Several new technologies had been evolving day to day, the new security threats and new security trends have been developing day by day [7][8] [9]. Providing security to the devices with these sorts of new trends are making a new and big challenges from time to time to protect the networks and its components from the ever increasing cyber attacks and cyber threats [10].…”

Section: Various Modes Of Cyber Security Attacksmentioning

confidence: 99%

“…The users will be given unique identification and codes for their identification in the network. Checking of the users from time to time to monitor the utilization of the customers who were not registered with the company, also to monitor the access by providing the passwords to the users with which they cannot be breached by any others and also these passwords cannot be done or noted by any other outside person from outside the network [16]. The passwords should always be more complex and very difficult to estimate them.…”

Section: Logical Access Controlsmentioning

confidence: 99%

A Detailed Review on Focus Areas of Cyber Security

Rao¹

2019

IJRIA

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Security is one of the most important factor or point to be considered for everyone in their life. Providing security and breaking the security are two important points to be noted for everyone who can be using the gadgets in these days. The other important factor or the point to be considered was the cyber security. The attacks or the collection go data unethically without the knowledge of the user's being stolen. The cases or the issues being under this trap are being increased from time to time and day to day in those days. The data to be stolen will be used for various reasons. Some may be using for money collection and some are using it for antisocial elements and unethical issues. Hence, in the current article an attempt has been made to provide a detailed idea of the types of attacks and types of issues and types of malwares that can be attacked and also some suggestions were provided. The important issues to be focused in the case of cyber security issues are given a thought and the details are given a light on it. The readers of this article can get the basic knowledge about the cyber security issues and threats and the steps to be followed such that to escape from these sorts of attacks. Also a focus was given on various aspects such that to escape from these types of security attacks.

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An Adaptive Framework for Improving Quality of Service in Industrial Systems

et al. 2015

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Limited memory bandwidth is considered as the major bottleneck in multimedia cloud computing for more and more virtual machines (VMs) of multimedia processing requiring high memory bandwidth simultaneously. Moreover, contending memory bandwidth among parallel running VMs leads to poor quality of service (QoS) of the multimedia applications, missing the deadlines of these soft realtime multimedia applications. In this paper, we present an adaptive framework, Service Maximization Optimization (SMO), which is designed to improve the QoS of the soft real-time multimedia applications in multimedia cloud computing. The framework consists of an automatic detection mechanism and an adaptive memory bandwidth control mechanism. With the automatic detection mechanism, the critical section to the multimedia application performance in the VMs is detected. Then, our adaptive memory bandwidth control mechanism adjusts the memory access rates of all the parallel running VMs to protect the QoS of the soft real-time multimedia applications. From the case studies with real-world multimedia applications, our SMO significantly improves the QoS of the soft real-time multimedia applications with a negligible penalty on system throughput.INDEX TERMS Memory bandwidth, multimedia application, memory access, quality of service, soft real-time.

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Dynamic Time-slice Scaling for Addressing OS Problems Incurred by Main Memory DVFS in Intelligent System

Cited by 6 publications

References 19 publications

Nucleus segmentation of cervical cytology images based on multi-scale fuzzy clustering algorithm

Nucleus segmentation of cervical cytology images based on multi-scale fuzzy clustering algorithm

A Detailed Review on Focus Areas of Cyber Security

An Adaptive Framework for Improving Quality of Service in Industrial Systems

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