Raman Paranjape | University of Regina (original) (raw)

Papers by Raman Paranjape

Mobile agents (MAs) are software entities capable of autonomous migration from host to host withi... more Mobile agents (MAs) are software entities capable of autonomous migration from host to host within a computer network. The economic-market (EM) model (in which hosts set prices for resources and negotiate access with MAs using a form of currency), is a promising approach to distributed control in MA systems. The paper discusses the use of an EM model in a

This paper proposes a residential load prediction model and an optimal control algorithm consider... more This paper proposes a residential load prediction model and an optimal control algorithm considering both electricity payment and waiting time to study impacts of electric vehicle (EV) penetration on the power system. EVs present both challenges (large electrical load) and opportunities (high efficiency and environmentally friendly). The proposed load prediction model simulates heterogeneous residential power consumption. A convex optimization model with real-time pricing (RTP) prediction is proposed to schedule EV charging to determine a tradeoff between electricity payment and waiting time. The dissatisfaction factor from delaying the EV charging, the EV penetration levels and flexibility of charging period are evaluated. The PAPR, standard deviation and electricity payment are significantly decreased by using the proposed optimal control model. Simulation results provide users a base line in which a “best” dissatisfaction factor value can be determined to find a trade-off. This study also shows that, although more and more controlled EV charging has the potential to improve the reliability of the power system, the restricted charging period at the residential sector can be a bottleneck when the EV penetration exceeds a certain level.

A vision-based servoing technique is proposed for a 2 degrees-of-freedom (dof) model helicopter e... more A vision-based servoing technique is proposed for a 2 degrees-of-freedom (dof) model helicopter equipped with a monocular vision system. In general, these techniques can be categorized as image- and position-based, where the task error is defined in the image plane in the former and in the physical space in the latter. The 2-dof model helicopter requires a configuration-dependent feed-forward control to compensate for gravitational forces when servoing on a ground target. Therefore, a position-based visual servoing deems more appropriate for precision control. Image information collected from a ground object, with known geometry a priori, is used to calculate the desired pose of the camera and correspondingly the desired joint angles of the model helicopter. To assure a smooth servoing, the task error is parameterized, using the information obtained from the linearaized image Jacobian, and time scaled to form a moving reference trajectory. At the higher level, a Linear Quadratic Regulator (LQR), augmented with a feed-forward term and an integrator, is used to track this trajectory. The discretization of the reference trajectory is achieved by an error-clamping strategy for optimal performance. The proposed technique was tested on a 2-dof model helicopter capable of pitch and yaw maneuvers carrying a light-weight off-the-shelf video camera. The test results show that the optimized controller can servo the model helicopter to a hovering pose for an image acquisition rate of as low as 2 frames per second.Copyright © 2011 by ASME

SPIE eBooks, Mar 16, 2010

ABSTRACT Computer-aided diagnosis (cad) systems are being developed to assist radiologists in the... more ABSTRACT Computer-aided diagnosis (cad) systems are being developed to assist radiologists in the interpretation of ambiguous mammographic features corresponding to possible signs of early breast cancer. Databases of digital mammograms are needed for testing such systems; we present an overview of a few such databases. Most databases are limited to single-exam sets of two or four mammograms on which the diagnosis was made, some ground-truth information related to the position of diagnostically significant mammographic features, and the diagnosis. We propose the design of a comprehensive, indexed atlas of digital mammograms. The design of an appropriate indexing scheme facilitates the implementation of content-based retrieval techniques needed for efficient access to and retrieval of relevant cases from the atlas. We also propose the use of mobile software agents for facilitating remote consultation of the atlas. Mobile agents can move between data sources such as the atlas and hospital repositories, perform computational tasks at each site, and return only relevant data to the user. These features reduce the computational requirements of the local computer system, bandwidth requirements, and overall network traffic. Proposed applications of the atlas include research, remote consultation, teaching, evaluation ofcad systems, and self-evaluation by radiologists.

Intelligent Decision Technologies, Feb 22, 2011

This paper proposes a multi-agent system for solving the university course timetabling problem. T... more This paper proposes a multi-agent system for solving the university course timetabling problem. The solution of the university course timetabling problem requires the development of an intelligent decision-making system. This work attempts to show how agent-technology can be harnessed in the development of such an intelligent decision-making system. Course timetabling is a dynamically distributed problem and as such requires a decision-making system which can partition itself to the characteristics of the problem instance as required. In this agent-based solution, agent autonomy and a flexible communication methodology are used to create the backbone of the intelligent decision-making system. Course Agents, representing each course in the problem, communicate and negotiate with other Course Agents through a Signboard Agent to find a mutually acceptable timetable. The Signboard Agent, is the mechanism that is used to identify course agents which need to negotiate with each other in order to resolve conflicts. It is also the mechanism through which the evolving timetable is made available to the user. A key strength of the agent-based approach is the use of the fundamental attribute of agent autonomy to represent all aspects of the fundamental unit in the problem-the course. By mapping the problem domain exactly into a fundamental attribute of the agent paradigm, we believe powerful and effective decision-making system is developed. Experimental results show that this intelligent decision system for course timetabling leads to an effective and flexible solution. Through negotiation and cooperation of the mobile and stationary agents in the system, the timetabling problem can be solved in a dynamic and distributed way.

Computers in Biology and Medicine, Nov 1, 2013

This work presents a self-aware diabetic patient software agent for representing a human diabetic... more This work presents a self-aware diabetic patient software agent for representing a human diabetic patient. To develop a 24 h, stochastic and self-aware patient agent, we extend the original seminal work of Ackerman et al. [1] in creating a mathematical model of human blood glucose levels in three aspects. (1) We incorporate the stochastic and unpredictable effects of daily living. (2) The Ackerman model is extended into the period of night-time. (3) Patients' awareness of their own conditions is incorporated. Simulation results are quantitatively assessed to demonstrate the effectiveness of lifestyle management, such as adjusting the amount of food consumed, meal schedule, intensity of exercise and level of medication. In this work we show through the simulation that the average blood glucose can be reduced by as much as 51% due to careful lifestyle management. Self monitoring blood glucose is also quantitatively evaluated. The simulation results show that the average blood glucose is further dropped by 25% with the assistance of blood glucose samples. In addition, the blood glucose is perfectly controlled in the target range during the simulation period as a result of joint efforts of lifestyle management and self monitoring blood glucose. This study focuses on demonstrating how human patients' behavior, specifically lifestyle and self monitoring of blood glucose, affects blood glucose controls on a daily basis. This work does not focus on the insulin-glucose interaction of an individual human patient. Our conclusion is that this self-aware patient agent model is capable of adequately representing diabetic patients and of evaluating their dynamic behaviors. It can also be incorporated into a multi-agent system by introducing other healthcare components so that more interesting insights such as the healthcare quality, cost and performance can be observed.

IGI Global eBooks, Jan 18, 2011

This chapter reviews and summarizes eight selected paper in the area of agent-based healthcare sy... more This chapter reviews and summarizes eight selected paper in the area of agent-based healthcare systems. The objective of the summaries is to provide an overview of recent research work in the area and to examine the characteristics of agent-based healthcare applications. The chapter also briefly discusses reasons for adopting agent-based simulation and modeling over traditional modeling techniques.

A system that continuously monitors and records rodent ultrasonic vocalizations over the frequenc... more A system that continuously monitors and records rodent ultrasonic vocalizations over the frequency range 10•90 kHz is described. The system records vocal frequency, sound pressure, time, and duration of call. Data are stored digitally. The system was validated by a pilot study in which distress calls of rat pups were selectively activated while they were subjected to a cold environment. Ultrasonic vocalizations are known to be part of the behavioral-response repertoire of many rodents (Allin &

In this paper, we propose a distributed load balancing algorithm with adaptive bias adjustment fo... more In this paper, we propose a distributed load balancing algorithm with adaptive bias adjustment for LTE/LTE-A HetNets. We have formulated the problem as a local sum utility maximization. The distributed algorithm is capable of fairly distributing the load among base stations with a minimum level of coordination. The performance of the algorithm was evaluated with a network topology subject to the conditions of a real HetNet deployment, in an urban environment, and applying a realistic traffic distribution during a period of peak usage. Our simulation results show that 350% higher data rate can be achieved for users with the worst 5% rates, and an overall average data rate gain of 23% can be obtained. Furthermore, the load balancing algorithm applied in combination with our adaptive bias adjustment method, provides an additional average gain of 50% in the rates for the 25th percentile.

Journal of Electronic Imaging, Oct 1, 1994

This paper presents a new technique for the restoration of images degraded by a linear, shift-inv... more This paper presents a new technique for the restoration of images degraded by a linear, shift-invariant blurring point-spread function (PSF) in the presence of additive white Gaussian noise. The algorithm uses overlapping variable-size, variable-shape adaptiveneighborhoods (ANs) to de ne stationary regions in the input image and obtains a spectral estimate of the noise in each AN region. This estimate is then used to obtain a spectral estimate of the original undegraded AN region, which is inverse Fourier transformed to obtain the space-domain deblurred AN region. The regions are then combined to form the nal restored image. Mathematical derivation and implementation of the adaptive-neighborhood deblurring (AND) lter will be discussed, and experimental results will be presented with an analysis of the performance of the AND lter as compared to the xed-neighborhood sectioned deblurring (FNSD) Wiener and power spectrum equalization (PSE) lters. It will be shown that using the AND algorithm for image deblurring will enable the identi cation of relatively stationary regions. This improves the restoration process and produces results that are superior to those obtained using the FNSD method both visually and in terms of quantitative error measures.

Intelligent systems reference library, Dec 31, 2017

Intelligent systems reference library, Dec 31, 2017

Intelligent systems reference library, Dec 31, 2017

The CPA incorporates the influential parameters in diabetes management and it can represent typic... more The CPA incorporates the influential parameters in diabetes management and it can represent typical diabetic patients. However, human behaviour is far more complicated than the proposed model. For instance, people may frequently sample their BG and respond to knowledge of their own condition, which is called SMBG and self-management. To incorporate such issues, the SPA is constructed as an enhancement of the CPA. This model also incorporates risk factors of age and health status. This chapter begins with a discussion of SMBG and then provides the architecture and algorithm of the SPA model. Following that are simulation experiments and results. A summary is presented in the last part of the chapter. 7.1 Self Monitoring Blood Glucose SMBG is one of the major components of diabetes management. An exhaustive review of SMBG is beyond the scope of this study; nonetheless we provide a brief introduction for a better understanding of the term "self-awareness". The effectiveness of SMBG has been demonstrated in Type 1 diabetes and insulin-dependent Type 2 diabetes with the aim of optimized control of blood glucose [1, 2]. However, SMBG remains debatable in non-insulin treated patients with Type 2 diabetes [3]. Some researchers argue that SMBG for non-insulin treated patients with Type 2 diabetes may lead to improved glycemic control [4, 5]. This is because, theoretically, SMBG by patients with Type 2 diabetes could result in better compliance with diet and exercise advice and with medication regimens, eventually resulting in better glycemic regulation [6]. This hypothesis of improvement is based on the fact that self-management or lifestyle changes are facilitated by SMBG. Some other researchers have contrasting opinions, believing it is a waste of money [7]. Nonetheless, SMBG for people with Type 2 diabetes may lead to improved glycemic control and is commonly recommended [4, 5]. According to the recommendations of

Journal of Canadian Petroleum Technology, Aug 16, 2012

The acoustic-wave-detection system is considered a nondestructive monitoring system to estimate d... more The acoustic-wave-detection system is considered a nondestructive monitoring system to estimate distances by measuring the time-of-flight of an ultrasonic wave. In this paper, a comprehensive experimental study was conducted to investigate the feasibility of the acoustic-wave-detection system in monitoring the shape and position of the gas phase in the vapour-extraction (VAPEX) process. For this purpose, various stages of vapour-chamber evolution in the VAPEX process were simulated experimentally by changing the shape of air balloons buried in simulated porous media in a laboratory-scale model. Then, an array of ultrasound transducers and receivers was used to measure time of flight at different stages of the vapour-chamber growth. Finally, the collected data were fed into a signal-processing program developed in this study to determine the shape of the vapour chamber. Conducted analysis in this study includes sound-speed testing in different porous media, signal-attenuation tests in different porous media, imaging of different simulated vapour chambers in different porous media, and acquisition and analysis experiments. Results show that acoustic-wave detection can be used for accurate mapping of the position and shape of the vapour chamber in the studied process. Monitoring the shape and growth of the vapour chamber provides valuable information for optimizing oil production in order to maximize oil recovery. The proposed methodology is able to identify acoustic anomalies in a porous medium in the laboratory.

World Academy of Science, Engineering and Technology, International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, Aug 28, 2013

We present a new approach to evaluation of Cyber Security in Power Systems using the method of mo... more We present a new approach to evaluation of Cyber Security in Power Systems using the method of modeling the power systems Infrastructure using software agents. Interfaces between module and the home smart meter are recognized as the primary points of intrusion.

ABSTRACT The estimation of the coverage area of a single transmitter in a microcell environment w... more ABSTRACT The estimation of the coverage area of a single transmitter in a microcell environment with irregular distribution and elevation of buildings is investigated in this paper. Two methods were applied to compute the coverage area of five locations of a test transmitter. The first method corresponded to a simple thresholding of the estimated path loss values provided by a deterministic propagation prediction model based on physical optics and the Geometrical Theory of Diffraction (GTD). We propose a second method to compute the coverage area based on a set of heuristic rules that combines the estimated values of the propagation path loss, information from the environment as well as data from physical measurements. We performed extensive signal strength measurements in order to evaluate the accuracy of the estimation of the coverage area. According to our results, computing the coverage area by applying a threshold to the predicted path loss values leads to significant errors, in average 20% of the map was erroneously included in the coverage area of each test location of the transmitter. We were able to reduce this error to 4% with our proposed method based on heuristic rules.

Behavior Research Methods, Sep 1, 1983

A system that continuously monitors and records rodent ultrasonic vocalizations over the frequenc... more A system that continuously monitors and records rodent ultrasonic vocalizations over the frequency range 10•90 kHz is described. The system records vocal frequency, sound pressure, time, and duration of call. Data are stored digitally. The system was validated by a pilot study in which distress calls of rat pups were selectively activated while they were subjected to a cold environment. Ultrasonic vocalizations are known to be part of the behavioral-response repertoire of many rodents (Allin &

Journal of Electronic Imaging, Jul 1, 1994

ABSTRACT We present a new technique for blind restoration of images degraded by a smooth, spatial... more ABSTRACT We present a new technique for blind restoration of images degraded by a smooth, spatially-invariant, zero-phase blur function. The restored image is obtained by using the information preserved in the phase of the blurred image to form an initial estimate. Successive estimates are produced by iteratively refining the initial estimate. For many images, only a few iterations are required to produce good quality deconvolved images. We provide several examples demonstrating the effectiveness of the new blind deconvolution approach and a discussion regarding the relative merits of the method.

Journal of Telemedicine and Telecare, Aug 1, 2000

The radiologists informally indicated that image quality was acceptable. This favourable prelimin... more The radiologists informally indicated that image quality was acceptable. This favourable preliminary result was expected since the image transfer was digital. We will conduct a formal evaluation of image quality over the course of this pilot project.

Journal of Electronic Imaging, Oct 1, 1994

A new approach to adaptive-neighborhood or region-based noise filtering is presented. The basic i... more A new approach to adaptive-neighborhood or region-based noise filtering is presented. The basic idea in this technique is to identify contextually related features in the image and to carry out.

Mobile agents (MAs) are software entities capable of autonomous migration from host to host withi... more Mobile agents (MAs) are software entities capable of autonomous migration from host to host within a computer network. The economic-market (EM) model (in which hosts set prices for resources and negotiate access with MAs using a form of currency), is a promising approach to distributed control in MA systems. The paper discusses the use of an EM model in a

This paper proposes a residential load prediction model and an optimal control algorithm consider... more This paper proposes a residential load prediction model and an optimal control algorithm considering both electricity payment and waiting time to study impacts of electric vehicle (EV) penetration on the power system. EVs present both challenges (large electrical load) and opportunities (high efficiency and environmentally friendly). The proposed load prediction model simulates heterogeneous residential power consumption. A convex optimization model with real-time pricing (RTP) prediction is proposed to schedule EV charging to determine a tradeoff between electricity payment and waiting time. The dissatisfaction factor from delaying the EV charging, the EV penetration levels and flexibility of charging period are evaluated. The PAPR, standard deviation and electricity payment are significantly decreased by using the proposed optimal control model. Simulation results provide users a base line in which a “best” dissatisfaction factor value can be determined to find a trade-off. This study also shows that, although more and more controlled EV charging has the potential to improve the reliability of the power system, the restricted charging period at the residential sector can be a bottleneck when the EV penetration exceeds a certain level.

A vision-based servoing technique is proposed for a 2 degrees-of-freedom (dof) model helicopter e... more A vision-based servoing technique is proposed for a 2 degrees-of-freedom (dof) model helicopter equipped with a monocular vision system. In general, these techniques can be categorized as image- and position-based, where the task error is defined in the image plane in the former and in the physical space in the latter. The 2-dof model helicopter requires a configuration-dependent feed-forward control to compensate for gravitational forces when servoing on a ground target. Therefore, a position-based visual servoing deems more appropriate for precision control. Image information collected from a ground object, with known geometry a priori, is used to calculate the desired pose of the camera and correspondingly the desired joint angles of the model helicopter. To assure a smooth servoing, the task error is parameterized, using the information obtained from the linearaized image Jacobian, and time scaled to form a moving reference trajectory. At the higher level, a Linear Quadratic Regulator (LQR), augmented with a feed-forward term and an integrator, is used to track this trajectory. The discretization of the reference trajectory is achieved by an error-clamping strategy for optimal performance. The proposed technique was tested on a 2-dof model helicopter capable of pitch and yaw maneuvers carrying a light-weight off-the-shelf video camera. The test results show that the optimized controller can servo the model helicopter to a hovering pose for an image acquisition rate of as low as 2 frames per second.Copyright © 2011 by ASME

SPIE eBooks, Mar 16, 2010

ABSTRACT Computer-aided diagnosis (cad) systems are being developed to assist radiologists in the... more ABSTRACT Computer-aided diagnosis (cad) systems are being developed to assist radiologists in the interpretation of ambiguous mammographic features corresponding to possible signs of early breast cancer. Databases of digital mammograms are needed for testing such systems; we present an overview of a few such databases. Most databases are limited to single-exam sets of two or four mammograms on which the diagnosis was made, some ground-truth information related to the position of diagnostically significant mammographic features, and the diagnosis. We propose the design of a comprehensive, indexed atlas of digital mammograms. The design of an appropriate indexing scheme facilitates the implementation of content-based retrieval techniques needed for efficient access to and retrieval of relevant cases from the atlas. We also propose the use of mobile software agents for facilitating remote consultation of the atlas. Mobile agents can move between data sources such as the atlas and hospital repositories, perform computational tasks at each site, and return only relevant data to the user. These features reduce the computational requirements of the local computer system, bandwidth requirements, and overall network traffic. Proposed applications of the atlas include research, remote consultation, teaching, evaluation ofcad systems, and self-evaluation by radiologists.

Intelligent Decision Technologies, Feb 22, 2011

This paper proposes a multi-agent system for solving the university course timetabling problem. T... more This paper proposes a multi-agent system for solving the university course timetabling problem. The solution of the university course timetabling problem requires the development of an intelligent decision-making system. This work attempts to show how agent-technology can be harnessed in the development of such an intelligent decision-making system. Course timetabling is a dynamically distributed problem and as such requires a decision-making system which can partition itself to the characteristics of the problem instance as required. In this agent-based solution, agent autonomy and a flexible communication methodology are used to create the backbone of the intelligent decision-making system. Course Agents, representing each course in the problem, communicate and negotiate with other Course Agents through a Signboard Agent to find a mutually acceptable timetable. The Signboard Agent, is the mechanism that is used to identify course agents which need to negotiate with each other in order to resolve conflicts. It is also the mechanism through which the evolving timetable is made available to the user. A key strength of the agent-based approach is the use of the fundamental attribute of agent autonomy to represent all aspects of the fundamental unit in the problem-the course. By mapping the problem domain exactly into a fundamental attribute of the agent paradigm, we believe powerful and effective decision-making system is developed. Experimental results show that this intelligent decision system for course timetabling leads to an effective and flexible solution. Through negotiation and cooperation of the mobile and stationary agents in the system, the timetabling problem can be solved in a dynamic and distributed way.

Computers in Biology and Medicine, Nov 1, 2013

This work presents a self-aware diabetic patient software agent for representing a human diabetic... more This work presents a self-aware diabetic patient software agent for representing a human diabetic patient. To develop a 24 h, stochastic and self-aware patient agent, we extend the original seminal work of Ackerman et al. [1] in creating a mathematical model of human blood glucose levels in three aspects. (1) We incorporate the stochastic and unpredictable effects of daily living. (2) The Ackerman model is extended into the period of night-time. (3) Patients' awareness of their own conditions is incorporated. Simulation results are quantitatively assessed to demonstrate the effectiveness of lifestyle management, such as adjusting the amount of food consumed, meal schedule, intensity of exercise and level of medication. In this work we show through the simulation that the average blood glucose can be reduced by as much as 51% due to careful lifestyle management. Self monitoring blood glucose is also quantitatively evaluated. The simulation results show that the average blood glucose is further dropped by 25% with the assistance of blood glucose samples. In addition, the blood glucose is perfectly controlled in the target range during the simulation period as a result of joint efforts of lifestyle management and self monitoring blood glucose. This study focuses on demonstrating how human patients' behavior, specifically lifestyle and self monitoring of blood glucose, affects blood glucose controls on a daily basis. This work does not focus on the insulin-glucose interaction of an individual human patient. Our conclusion is that this self-aware patient agent model is capable of adequately representing diabetic patients and of evaluating their dynamic behaviors. It can also be incorporated into a multi-agent system by introducing other healthcare components so that more interesting insights such as the healthcare quality, cost and performance can be observed.

IGI Global eBooks, Jan 18, 2011

This chapter reviews and summarizes eight selected paper in the area of agent-based healthcare sy... more This chapter reviews and summarizes eight selected paper in the area of agent-based healthcare systems. The objective of the summaries is to provide an overview of recent research work in the area and to examine the characteristics of agent-based healthcare applications. The chapter also briefly discusses reasons for adopting agent-based simulation and modeling over traditional modeling techniques.

A system that continuously monitors and records rodent ultrasonic vocalizations over the frequenc... more A system that continuously monitors and records rodent ultrasonic vocalizations over the frequency range 10•90 kHz is described. The system records vocal frequency, sound pressure, time, and duration of call. Data are stored digitally. The system was validated by a pilot study in which distress calls of rat pups were selectively activated while they were subjected to a cold environment. Ultrasonic vocalizations are known to be part of the behavioral-response repertoire of many rodents (Allin &

In this paper, we propose a distributed load balancing algorithm with adaptive bias adjustment fo... more In this paper, we propose a distributed load balancing algorithm with adaptive bias adjustment for LTE/LTE-A HetNets. We have formulated the problem as a local sum utility maximization. The distributed algorithm is capable of fairly distributing the load among base stations with a minimum level of coordination. The performance of the algorithm was evaluated with a network topology subject to the conditions of a real HetNet deployment, in an urban environment, and applying a realistic traffic distribution during a period of peak usage. Our simulation results show that 350% higher data rate can be achieved for users with the worst 5% rates, and an overall average data rate gain of 23% can be obtained. Furthermore, the load balancing algorithm applied in combination with our adaptive bias adjustment method, provides an additional average gain of 50% in the rates for the 25th percentile.

Journal of Electronic Imaging, Oct 1, 1994

This paper presents a new technique for the restoration of images degraded by a linear, shift-inv... more This paper presents a new technique for the restoration of images degraded by a linear, shift-invariant blurring point-spread function (PSF) in the presence of additive white Gaussian noise. The algorithm uses overlapping variable-size, variable-shape adaptiveneighborhoods (ANs) to de ne stationary regions in the input image and obtains a spectral estimate of the noise in each AN region. This estimate is then used to obtain a spectral estimate of the original undegraded AN region, which is inverse Fourier transformed to obtain the space-domain deblurred AN region. The regions are then combined to form the nal restored image. Mathematical derivation and implementation of the adaptive-neighborhood deblurring (AND) lter will be discussed, and experimental results will be presented with an analysis of the performance of the AND lter as compared to the xed-neighborhood sectioned deblurring (FNSD) Wiener and power spectrum equalization (PSE) lters. It will be shown that using the AND algorithm for image deblurring will enable the identi cation of relatively stationary regions. This improves the restoration process and produces results that are superior to those obtained using the FNSD method both visually and in terms of quantitative error measures.

Intelligent systems reference library, Dec 31, 2017

Intelligent systems reference library, Dec 31, 2017

Intelligent systems reference library, Dec 31, 2017

The CPA incorporates the influential parameters in diabetes management and it can represent typic... more The CPA incorporates the influential parameters in diabetes management and it can represent typical diabetic patients. However, human behaviour is far more complicated than the proposed model. For instance, people may frequently sample their BG and respond to knowledge of their own condition, which is called SMBG and self-management. To incorporate such issues, the SPA is constructed as an enhancement of the CPA. This model also incorporates risk factors of age and health status. This chapter begins with a discussion of SMBG and then provides the architecture and algorithm of the SPA model. Following that are simulation experiments and results. A summary is presented in the last part of the chapter. 7.1 Self Monitoring Blood Glucose SMBG is one of the major components of diabetes management. An exhaustive review of SMBG is beyond the scope of this study; nonetheless we provide a brief introduction for a better understanding of the term "self-awareness". The effectiveness of SMBG has been demonstrated in Type 1 diabetes and insulin-dependent Type 2 diabetes with the aim of optimized control of blood glucose [1, 2]. However, SMBG remains debatable in non-insulin treated patients with Type 2 diabetes [3]. Some researchers argue that SMBG for non-insulin treated patients with Type 2 diabetes may lead to improved glycemic control [4, 5]. This is because, theoretically, SMBG by patients with Type 2 diabetes could result in better compliance with diet and exercise advice and with medication regimens, eventually resulting in better glycemic regulation [6]. This hypothesis of improvement is based on the fact that self-management or lifestyle changes are facilitated by SMBG. Some other researchers have contrasting opinions, believing it is a waste of money [7]. Nonetheless, SMBG for people with Type 2 diabetes may lead to improved glycemic control and is commonly recommended [4, 5]. According to the recommendations of

Journal of Canadian Petroleum Technology, Aug 16, 2012

The acoustic-wave-detection system is considered a nondestructive monitoring system to estimate d... more The acoustic-wave-detection system is considered a nondestructive monitoring system to estimate distances by measuring the time-of-flight of an ultrasonic wave. In this paper, a comprehensive experimental study was conducted to investigate the feasibility of the acoustic-wave-detection system in monitoring the shape and position of the gas phase in the vapour-extraction (VAPEX) process. For this purpose, various stages of vapour-chamber evolution in the VAPEX process were simulated experimentally by changing the shape of air balloons buried in simulated porous media in a laboratory-scale model. Then, an array of ultrasound transducers and receivers was used to measure time of flight at different stages of the vapour-chamber growth. Finally, the collected data were fed into a signal-processing program developed in this study to determine the shape of the vapour chamber. Conducted analysis in this study includes sound-speed testing in different porous media, signal-attenuation tests in different porous media, imaging of different simulated vapour chambers in different porous media, and acquisition and analysis experiments. Results show that acoustic-wave detection can be used for accurate mapping of the position and shape of the vapour chamber in the studied process. Monitoring the shape and growth of the vapour chamber provides valuable information for optimizing oil production in order to maximize oil recovery. The proposed methodology is able to identify acoustic anomalies in a porous medium in the laboratory.

World Academy of Science, Engineering and Technology, International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, Aug 28, 2013

We present a new approach to evaluation of Cyber Security in Power Systems using the method of mo... more We present a new approach to evaluation of Cyber Security in Power Systems using the method of modeling the power systems Infrastructure using software agents. Interfaces between module and the home smart meter are recognized as the primary points of intrusion.

ABSTRACT The estimation of the coverage area of a single transmitter in a microcell environment w... more ABSTRACT The estimation of the coverage area of a single transmitter in a microcell environment with irregular distribution and elevation of buildings is investigated in this paper. Two methods were applied to compute the coverage area of five locations of a test transmitter. The first method corresponded to a simple thresholding of the estimated path loss values provided by a deterministic propagation prediction model based on physical optics and the Geometrical Theory of Diffraction (GTD). We propose a second method to compute the coverage area based on a set of heuristic rules that combines the estimated values of the propagation path loss, information from the environment as well as data from physical measurements. We performed extensive signal strength measurements in order to evaluate the accuracy of the estimation of the coverage area. According to our results, computing the coverage area by applying a threshold to the predicted path loss values leads to significant errors, in average 20% of the map was erroneously included in the coverage area of each test location of the transmitter. We were able to reduce this error to 4% with our proposed method based on heuristic rules.

Behavior Research Methods, Sep 1, 1983

A system that continuously monitors and records rodent ultrasonic vocalizations over the frequenc... more A system that continuously monitors and records rodent ultrasonic vocalizations over the frequency range 10•90 kHz is described. The system records vocal frequency, sound pressure, time, and duration of call. Data are stored digitally. The system was validated by a pilot study in which distress calls of rat pups were selectively activated while they were subjected to a cold environment. Ultrasonic vocalizations are known to be part of the behavioral-response repertoire of many rodents (Allin &

Journal of Electronic Imaging, Jul 1, 1994

ABSTRACT We present a new technique for blind restoration of images degraded by a smooth, spatial... more ABSTRACT We present a new technique for blind restoration of images degraded by a smooth, spatially-invariant, zero-phase blur function. The restored image is obtained by using the information preserved in the phase of the blurred image to form an initial estimate. Successive estimates are produced by iteratively refining the initial estimate. For many images, only a few iterations are required to produce good quality deconvolved images. We provide several examples demonstrating the effectiveness of the new blind deconvolution approach and a discussion regarding the relative merits of the method.

Journal of Telemedicine and Telecare, Aug 1, 2000

The radiologists informally indicated that image quality was acceptable. This favourable prelimin... more The radiologists informally indicated that image quality was acceptable. This favourable preliminary result was expected since the image transfer was digital. We will conduct a formal evaluation of image quality over the course of this pilot project.

Journal of Electronic Imaging, Oct 1, 1994

A new approach to adaptive-neighborhood or region-based noise filtering is presented. The basic i... more A new approach to adaptive-neighborhood or region-based noise filtering is presented. The basic idea in this technique is to identify contextually related features in the image and to carry out.