The RAST (Rapid Annotation using Subsystem Technology) annotation engine was built in 2008 to annotate bacterial and archaeal genomes. It works by offering a standard software pipeline for identifying genomic features...
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The RAST (Rapid Annotation using Subsystem Technology) annotation engine was built in 2008 to annotate bacterial and archaeal genomes. It works by offering a standard software pipeline for identifying genomic features (i.e., protein-encoding genes and RNA) and annotating their functions. Recently, in order to make RAST a more useful research tool and to keep pace with advancements in bioinformatics, it has become desirable to build a version of RAST that is both customizable and extensible. In this paper, we describe the RAST tool kit (RASTtk), a modular version of RAST that enables researchers to build custom annotation pipelines. RASTtk offers a choice of software for identifying and annotating genomic features as well as the ability to add custom features to an annotation job. RASTtk also accommodates the batch submission of genomes and the ability to customize annotation protocols for batch submissions. This is the first major software restructuring of RAST since its inception.
Background: Exotic nonspherical nuclear pasta shapes are expected in nuclear matter at just below saturation density because of competition between short-range nuclear attraction and long-range Coulomb repulsion.
Background: Exotic nonspherical nuclear pasta shapes are expected in nuclear matter at just below saturation density because of competition between short-range nuclear attraction and long-range Coulomb repulsion.
This paper presents a dynamic reconfiguration method for electrical connections in a Series-Parallel connected photovoltaic array under partial shading conditions. It is desirable to extract the maximum energy from th...
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This paper presents a dynamic reconfiguration method for electrical connections in a Series-Parallel connected photovoltaic array under partial shading conditions. It is desirable to extract the maximum energy from the array, but it does not occur in situations where the modules have different points of operation caused by shading. The proposed method is then characterized by the maintenance of the PV array dimensions, that is;no module is removed or added to the array. Furthermore, the control algorithm is based on the Rough Sets Theory, which allows the fast and efficient implementation of a control system, comprising rules that identify the system optimal configuration.
This paper presents implementation of a two stage three phase PV-grid interfaced system with a three phase VSC which has been utilized as a multifunctional device. Adaptive noise reduction technique is used to control...
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ISBN:
(纸本)9781467380416
This paper presents implementation of a two stage three phase PV-grid interfaced system with a three phase VSC which has been utilized as a multifunctional device. Adaptive noise reduction technique is used to control multifunctional VSC which transfers the active power from PV system to the grid and also works as an active power filter (APF) to improve power quality at AC mains. The control algorithm presented here has a fast and accurate dynamic response. The proposed SPV energy system has been implemented with linear and non-linear load to show harmonic elimination, load balancing and power factor correction.
This paper presents a transport layer protocol for multi-path networks with blockage. Using urban SATCOM as an example, we see from data taken from a 2006 measurement campaign that these blockages are generally on the...
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ISBN:
(纸本)9781467391023
This paper presents a transport layer protocol for multi-path networks with blockage. Using urban SATCOM as an example, we see from data taken from a 2006 measurement campaign that these blockages are generally on the order of 1-5 seconds in length and the links are blocked approximately 33% of the time. To compensate for this type of impairment, we have developed a multipath IP overlay routing algorithm, a random linear coding reliability scheme, and a maximum-queue-based (MQCC) congestion control algorithm. MQCC uses average buffer occupancy as a measure of the congestion in a network (as opposed to packet loss or round trip time (RTT)) and updates the transmission rate of each source to avoid network congestion. This allows us to design a congestion control algorithm that is independent of the channel conditions and can be made resilient to channel losses. The reliability scheme uses selective negative acknowledgments (SNACKs) to guarantee packet delivery to the destination. We show through simulation that we can approach the optimal benchmark in realistic lossy blockage channels.
The risk of hypoglycemia is one of the main concerns in treatment of type 1 diabetes (T1D). In this paper we present a head-to-head comparison of a currently used insulin-only controller and a prospective bihormonal c...
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ISBN:
(纸本)9781479917730
The risk of hypoglycemia is one of the main concerns in treatment of type 1 diabetes (T1D). In this paper we present a head-to-head comparison of a currently used insulin-only controller and a prospective bihormonal controller for blood glucose in people with T1D. The bihormonal strategy uses insulin to treat hyperglycemia as well as glucagon to ensure fast recovery from hypoglycemic episodes. Two separate model predictive controllers (MPC) based on patient-specific models handle insulin and glucagon infusion. In addition, the control algorithm consists of a Kalman filter and a meal time insulin bolus calculator. The feedback is obtained from a continuous glucose monitor (CGM). We implement a bihormonal simulation model with time-varying parameters available for 3 subjects to compare the strategies. We consider a protocol with 3 events - a correct mealtime insulin bolus, a missed bolus and a bolus overestimated by 60%. During normal operation both strategies provide similar results. The contribution of glucagon becomes evident after administration of the overestimated insulin bolus. In a 10h period following an overbolused meal, the bihormonal strategy reduces time spent in hypoglycemia in the most severe case by almost 15% (1.5h), outperforming the insulin-only control. Therefore, glucagon contributes to the safety of an Artificial Pancreas.
This article deals with automatic transcription of flamenco music recordings-more specifically, a cappella singing. We first study the specifics of flamenco singing and propose a transcription system based on fundamen...
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This article deals with automatic transcription of flamenco music recordings-more specifically, a cappella singing. We first study the specifics of flamenco singing and propose a transcription system based on fundamental frequency and energy estimation, which incorporates an iterative strategy for note segmentation and labeling. The proposed approach is evaluated on a music collection of 72 performances, including a variety of singers and recording conditions, and the presence or absence of percussion, background voices, and noise. We obtain satisfying results for the different approaches tested, and our system outperforms a state-of-the-art approach designed for other singing styles. In this study, we discuss the difficulties found in transcribing flamenco singing and in evaluating the obtained transcriptions, we analyze the influence of the different steps of the algorithm, and we state the main limitations of our approach and discuss challenges for future studies.
In this paper, we will introduce our newly developed 3D simulation system for miniature unmanned aerial vehicles (UAVs) navigation and control in GPS-denied environments. As we know, simulation technologies can verify...
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ISBN:
(纸本)9781479917631
In this paper, we will introduce our newly developed 3D simulation system for miniature unmanned aerial vehicles (UAVs) navigation and control in GPS-denied environments. As we know, simulation technologies can verify the algorithms and identify potential problems before the actual flight test and to make the physical implementation smoothly and successfully. To enhance the capability of state-of-the-art of research-oriented UAV simulation system, we develop a 3D simulator based on robot operation system (ROS) and a game engine, Unity3D. Unity3D has powerful graphics and can support high-fidelity 3D environments and sensor modeling which is important when we simulate sensing technologies in cluttered and harsh environments. On the other hand, ROS can provide clear software structure and simultaneous operation between hardware devices for actual UAVs. By developing data transmitting interface and necessary sensor modeling techniques, we have successfully glued ROS and Unity together. The integrated simulator can handle real-time multi-UAV navigation and control algorithms, including online processing of a large number of sensor data.
The learning filter in Iterative Learning Control determines the performance in terms of convergence rate and converged error. The ideal learning filter is the inverse of the system being learned. For minimum phase sy...
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ISBN:
(纸本)9781479917730
The learning filter in Iterative Learning Control determines the performance in terms of convergence rate and converged error. The ideal learning filter is the inverse of the system being learned. For minimum phase system, direct system inversion can be implemented easily. However for non-minimum phase system, direct system inversion would result in an unstable filter. In the literature, there are several methods that approximate the system inversion. In time domain, zero-phase-error tracking controller (ZPETC) and zero-magnitude-error tracking controller (ZMETC) have been used frequently for non-minimum phase system. In frequency domain, Model-less Inversion-based Iterative Control (MIIC) has been used for atomic force microscope (AFM) imaging. In this paper, a data-based dynamic inversion method in the frequency domain is proposed, and the performance is compared with aforementioned inversion methods.
In this paper, lithography projection objective precision temperature control system is designed study. The system mainly consists of a PID controller, heating tanks, cooling module and circulation piping systems. To ...
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In this paper, lithography projection objective precision temperature control system is designed study. The system mainly consists of a PID controller, heating tanks, cooling module and circulation piping systems. To achieve ultra-precision temperature control, we studied the control algorithm and selected the multimode parameter fuzzy self-tuning PID control method finally. And we have built the experimental prototype to conduct the experiment that using other thermal load instead of the thermal load of the projection objective, the experimental results demonstrate that the system is stable and fast response, circulating water temperature can reach the set temperature in a short time and fluctuate within a range of ± 0.01 °C.
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