scholarly journals Penggunaan Geoda untuk Pemetaan Bencana Alam di Kabupaten Karanganyar

2020 ◽  
Vol 3 ◽  
pp. 520-524
Author(s):  
Hasih Pratiwi ◽  
Niswatul Qona’ah ◽  
Kiki Ferawati ◽  
Sri Sulistijowati Handajani ◽  
Handajani Handajani ◽  
...  
Keyword(s):  
Project File

Kemampuan mengolah data menjadi kebutuhan di masa kini, apalagi dengan banyaknya data yang tersedia yang dapat diakses secara bebas. Statistika dapat digunakan untuk membantu masyarakat dalam menjelaskan dan memahami gambaran tentang kejadian bencana alam. Karanganyar, yang terletak di Provinsi Jawa Tengah, merupakan salah satu kabupaten di Indonesia yang rawan bencana alam. Oleh karena itu, diperlukan visualisasi data sebagai upaya untuk memberikan pemahaman kepada masyarakat tentang bencana alam yang terjadi di wilayah Kabupaten Karanganyar. Pemetaan bencana alam dengan Geoda dapat memberikan informasi kondisi kecamatan-kecamatan di Karanganyar yang rawan bencana alam. Untuk menyusun peta, diperlukan data bencana alam serta file peta wilayah. Setelah program Geoda terinstal, peta dapat disusun melalui menu toolbar, mengurutkan kolom kode kabupaten, create project file, dan map. Peta spasial menunjukkan bahwa tanah longsor sering terjadi di wilayah Kabupaten Karanganyar bagian timur yang berbatasan dengan Kabupaten Magetan di Jawa Timur, kebakaran di bagian tengah, dan angin ribut di bagian utara.

Abstract P847: Exploring the Perspective of Patient Recipients of a Provider and Systems-Level Intervention - A Mixed Methods Analysis From the Care Transitions and Hypertension Management (catch) Program for Ischemic Stroke Study

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Jason J Sico ◽  
Laura Burrone ◽  
Brenda Fenton ◽  
Manali Phadke ◽  
Jan-Michael Ragunton ◽  
...  
Keyword(s):  
Patient Care ◽  
Clinical Pharmacy ◽  
Qualitative Interviews ◽  
Care Transitions ◽  
Care Program ◽  
Lean Six Sigma ◽  
Hypertension Management ◽  
Care Providers ◽  
Post Discharge ◽  
Project File

Introduction: The CAre Transitions and Hypertension management (CATcH) program was developed using Lean Six Sigma methodology and is a bundled, multi-faceted, provider- and healthcare systems-level pilot-intervention designed to enhance care coordination. Components of the intervention included: education delivered during the hospitalization, increased utilization of clinical pharmacy and home telehealth for blood pressure (BP) monitoring, and a patient care navigator. Hypothesis: Recipients of CATcH will find the program valuable though engaging with additional care providers may be deemed onerous. Methods: Twenty-eight semi-structured qualitative interviews were conducted between June 2018 and June 2019 among CATcH recipients. Interviews were audio-recorded, transcribed, and entered into an ATLAS.ti. project file. Thematic Content Analysis was used to analyze coded data, generate, and validate findings. Themes related to the overall impression of CATcH and its individual components were investigated across all patients and stratified by age, race, sex, and when they were discharged in relation to beginning of CATcH implementation. Results: A total of 108 Veterans were the recipients of CATcH. All patients received education, patient care navigator services, and offered both clinical pharmacy and telehealth services, with 52/108 (48.1%) attending clinical pharmacy appointments and 37/108 (34.3%) utilizing telehealth services within 6-months post-discharge. Subjects interviewed were on average 68.6±8.2 years of age, predominantly male (26/28; 92.9%) and equally distributed among black and non-black races. Themes were largely positive with patients expressing they were unaware that they were the recipients of an enhanced care program, and that CATcH. Patients who received CATcH in the second half of the program reported better care collaboration and more useful educational materials that those enrolled earlier in the project. Conclusions: Patients found the CATcH program and its component parts useful in the ongoing management of post-stroke BP control. Continuous self-evaluation and refinement of the program throughout the intervention period likely contributed to improvements in care collaboration and education.

scholarly journals Roads Detection and Parametrization in Integrated BIM-GIS Using LiDAR

2020 ◽  
Vol 5 (7) ◽  
pp. 55 ◽  
Author(s):  
Luigi Barazzetti ◽  
Mattia Previtali ◽  
Marco Scaioni
Keyword(s):  
Autonomous Vehicle ◽  
Point Clouds ◽  
Traffic Monitoring ◽  
Information Modeling ◽  
Time Data ◽  
Cloud Processing ◽  
Road Geometry ◽  
Building Information ◽  
Project File ◽  
Autonomous Vehicle Navigation

Building Information Modeling (BIM) has a crucial role in smart road applications, not only limited to the design and construction stages, but also to traffic monitoring, autonomous vehicle navigation, road condition assessment, and real-time data delivery to drivers, among others. Point clouds collected through LiDAR are a powerful solution to capture as-built conditions, notwithstanding the lack of commercial tools able to automatically reconstruct road geometry in a BIM environment. This paper illustrates a two-step procedure in which roads are automatically detected and classified, providing GIS layers with basic road geometry that are turned into parametric BIM objects. The proposed system is an integrated BIM-GIS with a structure based on multiple proposals, in which a single project file can handle different versions of the model using a variable level of detail. The model is also refined by adding parametric elements for buildings and vegetation. Input data for the integrated BIM-GIS can also be existing cartographic layers or outputs generated with algorithms able to handle LiDAR data. This makes the generation of the BIM-GIS more flexible and not limited to the use of specific algorithms for point cloud processing.

scholarly journals Liability In Conducting Tests

1998 ◽  
Vol 15 (2) ◽  
Author(s):  
Roy J. Leonard
Keyword(s):  
Data Sheet ◽  
Building Code ◽  
Materials Testing ◽  
Testing Laboratory ◽  
Raw Data ◽  
Design Information ◽  
Laboratory Results ◽  
Forensic Engineering ◽  
Project File ◽  
Building Project

Instead Of Earning A Small Fee On A Building Project, A Materials Testing Laboratory Can Instead Become Involved In Litigation Which Could Cost It And Its Liability Insurers An Amount Many Times The Fee. But More Than This, There Could Also Be An Infinitely Greater Amount Of Time Spent Defending The Firm Than Was Ever Spent In Performing The Tests. In The Majority Of Cases The Tests Are Performed To Either Supply Design Information Or Monitor Compliance With Project Specifications And/Or Building Code Requirements. However, If Problems Develop And Litigation Begins, Then The Project File Information Becomes Evidence Of What Took Place On The Project. In Some Cases, However, The Laboratory Is Employed After Litigation Has Begun, Or The Probability Of A Lawsuit Is High, And The Testing Is Performed To Provide Evidence. In Any Event, The Results Of These Tests Are Taken As Essential Facts Which Will Be Reviewed By The Attorneys And Their Forensic Engineering Experts. Sometimes The Technicians Or Managers Of The Firm Providing These Field Or Laboratory Results Will Be Deposed, And Every Raw Data Sheet, Report And Log In The File May Be Examined In Great Detail By The Various Parties. If One Error Is Found, It May Be Contended That There May Be Other Errors Which Have Not Been Found Yet. If It Develops That Any Errors Or Suspected Errors Were Made, Then The Laboratory May Become Party To The Lawsuit.

scholarly journals JSim, an open-source modeling system for data analysis

F1000Research ◽  
2014 ◽  
Vol 2 ◽  
pp. 288 ◽  
Author(s):  
Erik Butterworth ◽  
Bartholomew E. Jardine ◽  
Gary M. Raymond ◽  
Maxwell L. Neal ◽  
James B. Bassingthwaighte
Keyword(s):  
Differential Equations ◽  
Open Source ◽  
User Interfaces ◽  
Mathematical Form ◽  
Source Modeling ◽  
Automatic Unit ◽  
Model Code ◽  
Multiple Data ◽  
Multiple Data Sets ◽  
Project File

JSim is a simulation system for developing models, designing experiments, and evaluating hypotheses on physiological and pharmacological systems through the testing of model solutions against data. It is designed for interactive, iterative manipulation of the model code, handling of multiple data sets and parameter sets, and for making comparisons among different models running simultaneously or separately. Interactive use is supported by a large collection of graphical user interfaces for model writing and compilation diagnostics, defining input functions, model runs, selection of algorithms solving ordinary and partial differential equations, run-time multidimensional graphics, parameter optimization (8 methods), sensitivity analysis, and Monte Carlo simulation for defining confidence ranges. JSim uses Mathematical Modeling Language (MML) a declarative syntax specifying algebraic and differential equations. Imperative constructs written in other languages (MATLAB, FORTRAN, C++, etc.) are accessed through procedure calls. MML syntax is simple, basically defining the parameters and variables, then writing the equations in a straightforward, easily read and understood mathematical form. This makes JSim good for teaching modeling as well as for model analysis for research.   For high throughput applications, JSim can be run as a batch job.  JSim can automatically translate models from the repositories for Systems Biology Markup Language (SBML) and CellML models. Stochastic modeling is supported. MML supports assigning physical units to constants and variables and automates checking dimensional balance as the first step in verification testing. Automatic unit scaling follows, e.g. seconds to minutes, if needed. The JSim Project File sets a standard for reproducible modeling analysis: it includes in one file everything for analyzing a set of experiments: the data, the models, the data fitting, and evaluation of parameter confidence ranges. JSim is open source; it and about 400 human readable open source physiological/biophysical models are available at http://www.physiome.org/jsim/.

General Equivalent Magnetic Circuit Calculation Software Based on the Quasi-Newton Algorithm

2015 ◽  
Vol 833 ◽  
pp. 201-206
Author(s):  
Zhan Shi ◽  
Xiao Fei Li ◽  
Tian Hui Chi ◽  
Cui Ping Wang ◽  
Xing Jun Liu ◽  
...  
Keyword(s):  
Magnetic Circuit ◽  
Circuit Simulation ◽  
New Product ◽  
Time Cost ◽  
Newton Algorithm ◽  
Rapid Calculation ◽  
Long Time ◽  
Project File ◽  
Quasi Newton ◽  
Calculation Software

Equivalent magnetic circuit method is a rapid calculation method used in magnetic circuit simulation. But for a long time this method can’t be used widely because the algorithm is not general and there is no commercial software developed for this method. In this paper, general software for magnetic circuit calculation was developed using LabVIEW language. Quasi-Newton algorithm was used in solving nonlinear Kirchhoff equation of magnetic circuit in this software. The project file in this software can be shared freely in different calculations. This software is expected to save the time-cost in the design of new product.

DSP Transplantation of Motion Object Detection Algorithm Based on TMS320DM642

2014 ◽  
Vol 577 ◽  
pp. 790-793
Author(s):  
Xiao Ling Zhang ◽  
Peng Xie ◽  
Bao Feng Zhang
Keyword(s):  
Object Detection ◽  
Digital Signal Processor ◽  
Detection System ◽  
Digital Signal ◽  
Detection Algorithm ◽  
Moving Object Detection ◽  
Moving Object ◽  
Development Environment ◽  
Development Cycle ◽  
Project File

To build motion object detection system based on DSP (Digital Signal Processor), the motion object detection algorithm by existing is transplanted to the DSP development environment based on adopted DSP hardware system.DSP migration process of the moving object detection algorithm is expounded. First of all, Real-time Workshop tool module in Simulink to establish CCS project file which can be identified by TMS320DM642, then testis processor in the loop (PIL) to verify its correctness. Create system model by Simulink instead of the traditional programming to create DSP project files shorten the development cycle and improve the enforceability of the program. Theresults show that the project files generated by the Simulink can meet the requirements in terms of complete moving object detection.

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