다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

MATPOWER is an open-source Matlab-based power system simulation package that provides a high-level set of power flow, optimal power flow (OPF), and other tools targeted toward researchers, educators, and students. The OPF architecture is designed to be extensible, making it easy to add user-defined variables, costs, and constraints to the standard OPF problem. This paper presents the details of the network modeling and problem formulations used by MATPOWER, including its extensible OPF architecture. This structure is used internally to implement several extensions to the standard OPF problem, including piece-wise linear cost functions, dispatchable loads, generator capability curves, and branch angle difference limits. Simulation results are presented for a number of test cases comparing the performance of several available OPF solvers and demonstrating MATPOWER's ability to solve large-scale AC and DC OPF problems.

/pdf/matpower-steady-state-operations-planning-and-analysis-tools-1v40ihity5.pdf

MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education

We explore in this chapter questions of existence and uniqueness for solutions to stochastic differential equations and offer a study of their properties. This endeavor is really a study of diffusion processes. Loosely speaking, the term diffusion is attributed to a Markov process which has continuous sample paths and can be characterized in terms of its infinitesimal generator.

Stochastic Differential Equations

Objective
To present the International Parkinson and Movement Disorder Society (MDS) Clinical Diagnostic Criteria for Parkinson9s disease.
Background
Although several diagnostic criteria for Parkinson9s disease have been proposed, none have been officially adopted by an official Parkinson society. Moreover, the commonest-used criteria, the UK brain bank, were created more than 25 years ago. In recognition of the lack of standard criteria, the MDS initiated a task force to design new diagnostic criteria for clinical Parkinson9s disease.
Methods/Results
The MDS-PD Criteria are intended for use in clinical research, but may also be used to guide clinical diagnosis. The benchmark is expert clinical diagnosis; the criteria aim to systematize the diagnostic process, to make it reproducible across centers and applicable by clinicians with less expertise. Although motor abnormalities remain central, there is increasing recognition of non-motor manifestations; these are incorporated into both the current criteria and particularly into separate criteria for prodromal PD. Similar to previous criteria, the MDS-PD Criteria retain motor parkinsonism as the core disease feature, defined as bradykinesia plus rest tremor and/or rigidity. Explicit instructions for defining these cardinal features are included. After documentation of parkinsonism, determination of PD as the cause of parkinsonism relies upon three categories of diagnostic features; absolute exclusion criteria (which rule out PD), red flags (which must be counterbalanced by additional supportive criteria to allow diagnosis of PD), and supportive criteria (positive features that increase confidence of PD diagnosis). Two levels of certainty are delineated: Clinically-established PD (maximizing specificity at the expense of reduced sensitivity), and Probable PD (which balances sensitivity and specificity).
Conclusion
The MDS criteria retain elements proven valuable in previous criteria and omit aspects that are no longer justified, thereby encapsulating diagnosis according to current knowledge. As understanding of PD expands, criteria will need continuous revision to accommodate these advances. Disclosure: Dr. Postuma has received personal compensation for activities with Roche Diagnostics Corporation and Biotie Therapies. Dr. Berg has received research support from Michael J. Fox Foundation, the Bundesministerium fur Bildung und Forschung (BMBF), the German Parkinson Association and Novartis GmbH.

MDS Clinical Diagnostic Criteria for Parkinson's Disease (S19.001)

Numerical Initial Value Problems in Ordinary Differential Equations

This paper presents a non-linear optimization problem based on nodal current injections to solve the optimal energy management of unbalanced, three-phase, grid-connected microgrids. The focus is on the modelling of small synchronous machines under unbalanced operation. Inverter-interfaced distributed energy resources, i.e., renewable sources and energy storage systems, are also considered and described. The proposed formulation minimizes the cost of the energy consumed by the microgrid while satisfying active and reactive power balances, the devices operational constraints, as well as current and voltage operational limits. The proposed model is tested using the IEEE 123 node test feeder and compared to commonly used formulations. Simulation results show the impact of unbalanced models on the energy management of three-phase microgrids.

Optimal Energy Management of Unbalanced Three-Phase Grid-Connected Microgrids

This paper describes how Free and Open Source Software can enable the deep learning approach in power system courses. With this aim, the paper describes authors' experience with PSAT for undergraduate and graduate education. Specific examples of undergraduate activities based on PSAT, such as class activities and course projects, are given as illustrations. Experience with graduate PhD level education is also described. Interviews with former students reveal the positive impact that the use of FOSS in general, and PSAT in particular, had on their learning and how it has influenced their professional life.

/pdf/triggering-the-deep-learning-approach-in-power-system-3leshqpruv.pdf

Triggering the deep learning approach in power system courses using Free and Open Source Software

This paper compares different models and implementations of the controllers of Under Load Tap Changers (ULTCs) and the impact on such models due to stochastic variations of load power consumption and wind power generation. The main goal of this paper is to show the response of different implementations of the tap changer control to uncertainty and volatility, emphasizing the need of time domain analysis and precise modeling. The case study considers a reduced Irish medium voltage distribution network fed by an ULTC with and without the inclusion of a local wind power plant.

On the Impact of Stochastic Loads and Wind Generation on Under Load Tap Changers

Three dimensional (3D) preoperative planning and navigation in bone tumor resections have been used in the last five years with good results. The purpose of this study is to develop a method capable of detecting and labeling the nearly planar surface generated by the cutting saw in the surgical specimen taken off the patient during the resection procedure. This surface area labeling is fundamental to track the path that the cutting saw took during the surgery and compare it to the planned cutting plane. The algorithm presented here works by using a 3D reconstruction of the surgical specimen computed tomography (CT) scan, registered against the 3D reconstruction of the preoperative patient CT scan, and the cutting plane defined during surgical planning. The results show a high labeling accuracy (a matching mean of 98.5%) and a non significant accuracy variation for a range of distance and angle offsets.

http://iopscience.iop.org/article/10.1088/1742-6596/332/1/012037/pdf

An algorithm for automatic surface labeling of planar surgical resections

The paper proposes a decentralized stochastic control of microgrids aimed at addressing both system frequency stability and microgrids' revenue. With the proposed control strategy, each microgrid decides, based on a set of stochastic rules, a measure of the frequency and microgrid operating conditions, whether if it should adopt a cooperative strategy where primary frequency regulation services are provided to the grid or a non-cooperative strategy, where it aims at maximizing its revenues. Simulations, based on the Monte Carlo approach, are performed on the IEEE 39 Bus System in order to validate the robustness of the proposed control strategy.

/pdf/decentralized-stochastic-control-of-microgrids-to-improve-44w57wfy4s.pdf

Federico Milano

Papers

Optimal Energy Management of Unbalanced Three-Phase Grid-Connected Microgrids

Triggering the deep learning approach in power system courses using Free and Open Source Software

On the Impact of Stochastic Loads and Wind Generation on Under Load Tap Changers

An algorithm for automatic surface labeling of planar surgical resections

Decentralized stochastic control of microgrids to improve system frequency stability