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Performance analysis of m-retry BEB based DCF under unsaturated traffic condition

- Siddique, Md, Kamruzzaman, Joarder

  • Authors: Siddique, Md , Kamruzzaman, Joarder
  • Date: 2010
  • Type: Text , Conference paper
  • Relation: 2010 IEEE Wireless Communications and Networking Conference (WCNC) p. 1-6
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  • Description: The IEEE 802.11 standard offers a cheap and promising solution for small scale wireless networks. Due to the self configuring nature, WLANs do not require large scale infrastructure deployment, and are scalable and easily maintainable which incited its popularity in both literature and industry. In real environment, these networks operate mostly under unsaturated condition. We investigate performance of such a network with m-retry limit BEB based DCF. We consider imperfect channel with provision for power capture. Our method employs a Markov model and represents the most common performance measures in terms of network parameters making the model and mathematical analysis useful in network design and planning. We also explore the effects of packet error, network size, initial contention window, and retry limit on overall performance of WLANs.

Availability measure model for Assistive Care Loop Framework using wireless sensor networks

- Balasubramanian, Venki, Hoang, Doan

A comprehensive method for analyzing the effect of geotextile layers on embankment stability

- Tolooiyan, Ali, Abustan, Ismail, Selamat, Mohamad, Ghaffari, Sh

  • Authors: Tolooiyan, Ali , Abustan, Ismail , Selamat, Mohamad , Ghaffari, Sh
  • Date: 2009
  • Type: Text , Journal article
  • Relation: Geotextiles and Geomembranes Vol. 27, no. 5 (2009), p. 399-405
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  • Description: Commercial software is used widely in slope stability analyses of reinforced embankments. Almost all of these programs consider the tensile strength of geotextiles and soil-geotextile interface friction. However, currently available commercial software generally does not consider the drainage function of nonwoven geotextile reinforcement. In this paper, a reinforced channel embankment reinforced by a nonwoven geotextile is analyzed using two methods. The first method only considers the tensile strength and soil-geotextile interface friction. The second method also considers the drainage function. In both cases, the reinforced embankment is modeled in rapid drawdown condition since this is one of the most important conditions with regard to stability of channel embankments. It is shown that for this type of application, modeling a nonwoven geotextile reinforced embankment using commercial software which neglects the drainage function of the geotextile may be unrealistic.

Investigation on system reliability optimization based on classification of criteria

- Khorshidi, Hadi, Gunawan, Indra, Ibrahim, Yousef

  • Authors: Khorshidi, Hadi , Gunawan, Indra , Ibrahim, Yousef
  • Date: 2013
  • Type: Text , Conference proceedings
  • Relation: Industrial Technology (ICIT), 2013 IEEE International Conference, Capetown, SA. 25-28 Feb. 2013 p.1706-1711
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  • Description: System reliability optimization has been considered as an area to improve the operational availability of electrical and manufacturing systems. This research area addresses system reliability estimation and mathematical model development. This paper presents a -review on system reliability optimization techniques based on different classification of criteria. The main criteria considered in this study are system structure, system state, optimization model, allocation model, modeling and solution methods. The classification can provide an overview of all criteria that should be used to make optimal decisions in a system by taking the reliability into account. Not only it can assist the researchers to develop new optimization models, but also it presents the practitioners how system reliability optimization models can help industries. The paper also discusses the limitations of the present techniques in this area.

Predicting and controlling the dynamics of infectious diseases

- Evans, Robin, Mammadov, Musa

Development of a spherical parallel manipulator as a haptic device for a tele-operation system: Application to robotic surgery

- Saafi, Hadi, Laribi, Med Amine, Zeghoul, Said, Ibrahim, Yousef

  • Authors: Saafi, Hadi , Laribi, Med Amine , Zeghoul, Said , Ibrahim, Yousef
  • Date: 2013
  • Type: Text , Conference proceedings
  • Relation: IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, Nov. 2013, Vienna, Austria p. 4097-4102
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  • Description: In tele-operation applications, especially in surgery, haptic devices need to exhibit a high degree of rigidity and accuracy. This paper deals with the development of a spherical parallel manipulator (SPM) that enables the satisfaction of those characteristics. The parallel architecture enables the use of this kind of robot as master in a tele-operation system. Moreover, the SPM has a center of rotation that makes it a natural candidate and more adapted to minimally invasive surgery application. However, the parallel manipulator presents a poor behavior in singular configuration. In this paper we discuss the technique we used to overcome the singularity effects. We also present the methodology of using additional sensor to avoid kinematic structure problem without design changes. The investigation of the developed solution is detailed in this paper. Also, the experimental results of the newly developed haptic device are presented in this paper.

Delayed self-regulation and time-dependent chemical drive leads to novel states in epigenetic landscapes

- Mitra, Mitra, Taylor, Paul, Hutchison, Chris, McLeish, T. C. B., Chakrabarti, Buddapriya

  • Authors: Mitra, Mitra , Taylor, Paul , Hutchison, Chris , McLeish, T. C. B. , Chakrabarti, Buddapriya
  • Date: 2014
  • Type: Text , Journal article
  • Relation: Journal of the Royal Society Interface Vol. 11, no. 100 (2014), p.
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  • Description: The epigenetic pathway of a cell as it differentiates from a stem cell state to a mature lineage-committed one has been historically understood in terms of Waddington's landscape, consisting of hills and valleys. The smooth top and valley-strewn bottom of the hill represent their undifferentiated and differentiated states, respectively. Although mathematical ideas rooted in nonlinear dynamics and bifurcation theory have been used to quantify this picture, the importance of time delays arising from multistep chemical reactions or cellular shape transformations have been ignored so far.We argue that this feature is crucial in understanding cell differentiation and explore the role of time delay in a model of a single-gene regulatory circuit.We show that the interplay of time-dependent drive and delay introduces a new regime where the system shows sustained oscillations between the two admissible steady states. We interpret these results in the light of recent perplexing experiments on inducing the pluripotent state in mouse somatic cells.We also comment on howsuch an oscillatory state can provide a framework for understanding more general feedback circuits in cell development. © 2014 The Author(s) Published by the Royal Society. All rights reserved.
  • Description: The epigenetic pathway of a cell as it differentiates from a stem cell state to a mature lineage-committed one has been historically understood in terms of Waddington's landscape, consisting of hills and valleys. The smooth top and valley-strewn bottom of the hill represent their undifferentiated and differentiated states, respectively. Although mathematical ideas rooted in nonlinear dynamics and bifurcation theory have been used to quantify this picture, the importance of time delays arising from multistep chemical reactions or cellular shape transformations have been ignored so far.We argue that this feature is crucial in understanding cell differentiation and explore the role of time delay in a model of a single-gene regulatory circuit.We showthat the interplay of time-dependent drive and delay introduces a new regime where the system shows sustained oscillations between the two admissible steady states. We interpret these results in the light of recent perplexing experiments on inducing the pluripotent state in mouse somatic cells.We also comment on howsuch an oscillatory state can provide a framework for understanding more general feedback circuits in cell development. © 2014 The Author(s) Published by the Royal Society. All rights reserved.

Predictive analytics for detecting sensor failure using autoregressive integrated moving average model

- Thiyagarajan, Karthick, Kodagoda, Sarath, Van Nguyen, Linh

  • Authors: Thiyagarajan, Karthick , Kodagoda, Sarath , Van Nguyen, Linh
  • Date: 2017
  • Type: Text , Conference proceedings
  • Relation: 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA); Siem Reap, Cambodia; 18-20 June 2017 p. 1926-1931
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  • Description: Sensors play a vital role in monitoring the important parameters of critical infrastructure. Failure of such sensors causes destabilization to the entire system. In this regard, this paper proposes a predictive analytics solution for detecting the failure of a sensor that measures surface temperature from an urban sewer. The proposed approach incorporates a forecasting technique based on the past time series of sparse data using an autoregressive integrated moving average (ARIMA) model. Based on the 95% forecast interval and continuity of faulty data, a criterion was set to detect anomalies and to issue a warning for sensor failure. The forecasted and faulty data were assumed Gaussian distributed. By using the probability density of the distribution, the mean and variance were computed for faulty data to examine the abnormality in the variance value of each day to detect the sensor failure. The experimental results on the sewer temperature data are appealing.

Link prediction by correlation on social network

- Rahman, Md Shafiur, Dey, Leema Rani, Haider, Sajal, Uddin, Md Ashraf, Islam, Manowarul

  • Authors: Rahman, Md Shafiur , Dey, Leema Rani , Haider, Sajal , Uddin, Md Ashraf , Islam, Manowarul
  • Date: 2017
  • Type: Text , Conference proceedings
  • Relation: 2017 20th International Conference of Computer and Information Technology (ICCIT); Dhaka, Bangladesh; 22-24 December 2017 p. 1-6
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  • Description: In a social network, the topology of the network grows through the formation of the link. the connection between two nodes in a social network indicates a confidence in terms of the similarity of some activities. Generally, a new link in the social network is created from different perspectives such as familiarity, cohesiveness, geographical locations etc. The concept of the link in the social network has been utilized to discover the hidden meaning of different fields such as e-commerce, bioinformatics and information retrieval. The prediction of a new link between two nodes in the social network is normally accomplished based on the nature of the topology and the similarity function among the nodes is defined with the help of the number of common friends. In this paper, we propose two link prediction algorithms: Local Link Prediction Algorithm and Global Link prediction by taking into consideration of user's activities as well as the common friends. We apply two formulas called correlation based cScore and influential score based iScore to measure the similarity between the two predicted nodes. Finally, we analyze the performance of the proposed algorithms by using DBLP, PPI, PB, and USAir data sets and the experimental result attests that our link predicted algorithm outperforms over the existing algorithms.
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