In this paper, the effect of external optical feedback (EOF) on the turn-on time delay (ton) of uncooled semiconductor laser diode (SLD) is investigated theoretically. The effects temperature of operation (T) and EOF ...
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This paper addresses the problem of optimal rate allocation for video stream in peer-to-peer networks. We present a distributed rate allocation algorithm with the goal of minimizing the total video distortion among pe...
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Layered streaming is an effective solution to address receiver heterogeneity in a Peer-to-peer (P2P) network. This paper addresses the problem of rate allocation for layered video stream in p2p mesh networks. We prese...
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In this work, we mainly focused on the luminescence properties of ZnS:Mn nanocrystals. Various samples of ZnS:Mn have been characterized at different doping concentration, annealing temperature, speed and rotation tim...
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Novel fault-tolerant architectures for bit-parallel polynomial basis multiplier over GF(2^m), which can correct the erroneous outputs using linear code, are presented. A parity prediction circuit based on the code g...
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Novel fault-tolerant architectures for bit-parallel polynomial basis multiplier over GF(2^m), which can correct the erroneous outputs using linear code, are presented. A parity prediction circuit based on the code generator polynomial that leads lower space overhead has been designed. For bit-parallel architectures, the Moreover, there is incorporation of space overhead only marginal time error-correction is about 11%. overhead due to capability that amounts to 3.5% in case of the bit-parallel multiplier. Unlike the existing concurrent error correction (CEC) multipliers or triple modular redundancy (TMR) techniques for single error correction, the proposed architectures have multiple error-correcting capabilities.
Thermal noise is generated naturally by thermal agitation of electron in a conductor commonly found in optoelectronic (O/E) device. In spite of the optical medium is totally immune to noises but it is not exception to...
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Thermal noise is generated naturally by thermal agitation of electron in a conductor commonly found in optoelectronic (O/E) device. In spite of the optical medium is totally immune to noises but it is not exception to occur in receiver parts. In communication, thermal noises have major influenced to the quality of receiver. It is directly proportional to the resistance and temperature. The lower the thermal noise the higher and expensive is this receiver sensitivity. The paper starts comprehensive study on thermal noise effect to the network performance in terms of bit-error rate (BER), maximum Q-factor, eye height, and maximum distance. Fiber-to-the-home (FTTH) network is used as a test field to study the impact of two different values of thermal noise to the network parameters. We use the receiver sensitivity fixed at -22 dBm to study and analyze the parameters. The Opti-System simulation is used to obtain the desired research objective.
This paper presented a MATLAB-based system named Smart Access network Testing, Analyzing and Database (SANTAD), purposely for in-service transmission surveillance and self restoration against fiber fault in fiber-to-t...
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Managing the actions of several agents to perform tasks which require coordination and cooperation pose significant research challenges. One such challenge is to synchronize the agentspsila view of the system to help ...
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Managing the actions of several agents to perform tasks which require coordination and cooperation pose significant research challenges. One such challenge is to synchronize the agentspsila view of the system to help them take the dasiarightpsila actions. In this paper, we propose an algorithm called MRCPG (Mobile Robot Coordination Point Gathering Algorithm) for coordinating the actions of a team of mobile robots. The aim is to gather these robots at a particular location in a 2-dimensional plane which is determined during execution. The robots are randomly deployed in the plane and they achieve the goal by communicating periodically. In addition, we impose a reinforcement learning framework and the robots learn a shared value function (SVF) based on scalar rewards received. The SVF is used to select the best possible action in each state until at least one robot reaches the goal. Then a reach-distance heuristic is used to direct the remaining robots to the goal. The algorithm was analyzed through simulations for up to 5 robots and the analysis indicates that communication helped robots perform significantly faster than when they acted independently - measured using the path-length of the first robot to reach the goal as the metric. We also observed that increasing team size enhances the effect of communication and hastens task completion.
Scanning and imaging techniques, when applied to medicine, are helpful in diagnosis of some critical illnesses that affect human beings. Imaging techniques use the electromagnetic spectrum for the construction of inte...
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Scanning and imaging techniques, when applied to medicine, are helpful in diagnosis of some critical illnesses that affect human beings. Imaging techniques use the electromagnetic spectrum for the construction of internal anatomy, visibility of organs, and for detection of tumors and other such anomalies. Infrared Radiation (IR), which is part of the electromagnetic spectrum, is a potential alternative in medical imaging, as it is non-invasive and non-ionizing. Thermal (or infrared) radiation emission from human body will be higher around the regions where an anomaly such as a tumor is present inside the body - essentially due to increased cell related activity. In the work reported here we use the IR energy measurement from the body surface to contour a tumor inside. As the radiation and the attendant attenuation are non-linear, it is quite involved to interpret the IR energy measured outside the body. However, we attempt to develop an inverse function to estimate parameters of tumor. We use some strong assumptions (can be described as trivializing the clinical value by medical scientists and practitioners!) to get an exact solution to the “tumor contouring” problem and present a framework called ITBIC as a solution.
Breast Thermography is one of the scanning techniques used for breast cancer detection. Looking at breast thermal image it is difficult to interpret parameters of tumor such as depth, size and location which are usefu...
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Breast Thermography is one of the scanning techniques used for breast cancer detection. Looking at breast thermal image it is difficult to interpret parameters of tumor such as depth, size and location which are useful for diagnosis and treatment of breast cancer. In our previous work (ITBIC) we proposed a framework for estimation of tumor size using clever algorithms and the radiative heat transfer model. In this paper, we expand it to incorporate the more realistic Pennes bio-heat transfer model and Markov chain Monte Carlo (MCMC) method, and analyze it's performance in terms of computational speed, accuracy, robustness against noisy inputs, ability to make use of prior information and ability to estimate multiple parameters simultaneously. We discuss the influence of various parameters used in its implementation. We apply this method on clinical data and extract reliable results for the first time using breast thermography.
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