Real-time UML-based performance engineering to aid manager's decisions in multi-project planning

2002 ◽  
Author(s):  
A. Bertolino ◽  
E. Marchetti ◽  
R. Mirandola
Keyword(s):  
Real Time ◽  
Project Planning ◽  
Performance Engineering

scholarly journals Smart OBDII Interface Development

2017 ◽  
Author(s):  
Rashid Bin Mohammad Al Souti ◽  
Shaik Asif Hussain
Keyword(s):  
Real Time ◽  
Control Unit ◽  
Real Data ◽  
Project Planning ◽  
Engine Control Unit ◽  
Computer Memory ◽  
Display Device ◽  
Battery Voltage ◽  
Data Link ◽  
Output Device

Smart OBDII Interface Development is to create all the information about the vehicle's performance and diagnostic trouble code (DTC) easily available to drivers or technician and mechanism by using an output device such as mobile or any display device in the vehicles. This work solves many problems by providing many useful information for driver like reading the battery voltage in real time. The main objectives are shown below depends on the time given as to complete the project planning and the limitation faced in the process used to implement the system. The project planning objectives produce create a development device can integrate with ELM327 interface module to communicate by data link connector in the vehicles to provide reading the real data from the engine control unit and detect the diagnostic trouble code. To implement support for reading the battery voltage which gives for driver and inspector the very important information needed to avoid the trouble in the car. To protect and help when the vehicle battery breakdown and the vehicle does not run so, can use it as a jump starter and as computer memory savers.

scholarly journals DEVELOPMENT OF AN APPROXIMATE CONSTRUCTION DURATION PREDICTION MODEL DURING THE PROJECT PLANNING PHASE FOR GENERAL OFFICE BUILDINGS

2018 ◽  
Vol 24 (3) ◽  
pp. 238-253 ◽  
Author(s):  
Dong-Jun Yeom ◽  
Hae-Mi Seo ◽  
Yoo-Jun Kim ◽  
Chung-Suk Cho ◽  
Youngsuk Kim
Keyword(s):  
Real Time ◽  
Flow Analysis ◽  
Multiple Linear Regression Model ◽  
Negotiation Process ◽  
Project Planning ◽  
Office Buildings ◽  
Reliable Prediction ◽  
Planning Phase ◽  
Lack Of Information ◽  
Approximate Construction

Accurate prediction of the construction duration is imperative to the reliable cash flow analysis during the project planning phase when feasibility analysis is carried out. However, lack of information and frequent changes that occur as a result of a negotiation process between the owner and the designer in defining the project scope make it difficult to compute real-time construction duration. Domestic and foreign models for calculating the construction durations cannot be readily applied to computation of construction duration for general office buildings in Korea specifically during the project planning phase as there is a limit in its applicability due to numerous restrictions. Moreover, there are no preceding studies suggesting different computational approaches to predict the entire construction duration for office buildings with the approximate construction duration concept during planning phase. Therefore, based on the collected performance data, this study proposes a multiple linear regression model that facilitates reliable prediction of approximate construction duration for office buildings in the project planning phase. The model will allow the owner and other stakeholders to predict the real-time construction duration using the basic information on office buildings and to assess the construction durations incorporating frequent changes during the project planning phase.

Citizen science for climate change preparedness and self-governance in the digital era: The Food Equity and Environmental Data Sovereignty (FEEDS) project (Preprint)

2021 ◽  
Author(s):  
Jasmin Bhawra ◽  
Kelly Skinner ◽  
Duane Favel ◽  
Brenda Green ◽  
Ken Coates ◽  
...  
Keyword(s):  
Climate Change ◽  
Real Time ◽  
Traditional Knowledge ◽  
Citizen Science ◽  
Food Systems ◽  
Food Sovereignty ◽  
Project Planning ◽  
Environmental Data ◽  
Knowledge Mobilization ◽  
Food Equity

BACKGROUND Despite having the tools at our disposal to enable an adequate food supply for all, inequities in food acquisition, distribution, and most importantly, food sovereignty, worsen food insecurity. Moreover, the detrimental impact of climate change on food systems is further exacerbated by lack of food sovereignty. We urgently require innovative solutions to enable food sovereignty and minimize food insecurity. Indigenous communities have a wealth of Traditional Knowledge for climate change adaptation and preparedness to strengthen food systems. Traditional Knowledge combined with Western methods can revolutionize ethical data collection, engagement, and knowledge mobilization. OBJECTIVE The Food Equity and Environmental Data Sovereignty (FEEDS) project takes a participatory action, citizen science approach for early detection and warning of climate change impacts on food sovereignty and security. The objective of this project is to develop and implement a sustainable digital platform that enables real-time decision-making to mitigate climate change-related impacts on food systems. METHODS Citizen science enables citizens to actively contribute to all aspects of the research process, from project planning and data collection, to co-created and self-determined knowledge mobilization. The FEEDS project is being implemented in four phases: i) Participatory project planning, ii) Climate change platform co-development and customization; iii) Community-led evaluation; iv) Refinement of innovative data analytics and community engagement, and v) Knowledge mobilization and exchange. The project is governed by a Citizen Scientist Advisory Council comprising Elders, Traditional Knowledge Keepers, key community decision-makers, youth, and FEEDS researchers. The Council governs all phases of the project, including co-conceptualizing a climate change platform, which consists of a smartphone application (app) and a digital decision-making dashboard. Apart from capturing environmental and health-related big data (e.g., weather, permafrost degradation, fire hazards, human movement, etc.), the custom-built app uses artificial intelligence to engage and enable citizens to report on environmental hazards, changes in biodiversity or wildlife, and related food issues in their communities. The app provides citizens with valuable information to mitigate health-related risks, and relays big data in real-time to a digital dashboard. RESULTS This project is currently in Phase 1 with the sub-arctic Métis jurisdiction of Île-à-la-Crosse, Saskatchewan, Canada. CONCLUSIONS The FEEDS project facilitates Indigenous self-determination, governance, and data sovereignty. All citizen data are anonymous and encrypted, and communities have ownership, access, control and possession over their data. The digital dashboard system provides decision-makers with real-time data, thereby increasing capacity to self-govern. The participatory action research approach, combined with digital citizen science, advances co-creation of knowledge and multidisciplinary collaboration in the digital age. Given the urgency of climate change, leveraging technology provides communities with the tools to respond to existing and emerging crises in a timely manner, as well as scientific evidence regarding the urgency of current health and environmental issues. CLINICALTRIAL Not applicable.

Some Recent Results in Quiescent Prominence Spectrometry

1979 ◽  
Vol 44 ◽  
pp. 41-47
Author(s):  
Donald A. Landman
Keyword(s):  
Real Time ◽  
Computer System ◽  
Spectral Response ◽  
Absolute Intensity ◽  
Solar Observatory ◽  
Target Size ◽  
Small Target ◽  
Signal Averaging ◽  
Quiescent Prominence

This paper describes some recent results of our quiescent prominence spectrometry program at the Mees Solar Observatory on Haleakala. The observations were made with the 25 cm coronagraph/coudé spectrograph system using a silicon vidicon detector. This detector consists of 500 contiguous channels covering approximately 6 or 80 Å, depending on the grating used. The instrument is interfaced to the Observatory’s PDP 11/45 computer system, and has the important advantages of wide spectral response, linearity and signal-averaging with real-time display. Its principal drawback is the relatively small target size. For the present work, the aperture was about 3″ × 5″. Absolute intensity calibrations were made by measuring quiet regions near sun center.

Video real-time imaging of artificial membranes during freeze-drying by cryo-electron microscopy

1988 ◽  
Vol 46 ◽  
pp. 16-17
Author(s):  
Alan S. Rudolph ◽  
Ronald R. Price
Keyword(s):  
Real Time ◽  
Self Assembly ◽  
Freeze Drying ◽  
Video Capture ◽  
Drying Process ◽  
Artificial Membranes ◽  
The Past ◽  
Cryo Electron Microscopy ◽  
Spherical Structures ◽  
Capture Techniques

We have employed cryoelectron microscopy to visualize events that occur during the freeze-drying of artificial membranes by employing real time video capture techniques. Artificial membranes or liposomes which are spherical structures within internal aqueous space are stabilized by water which provides the driving force for spontaneous self-assembly of these structures. Previous assays of damage to these structures which are induced by freeze drying reveal that the two principal deleterious events that occur are 1) fusion of liposomes and 2) leakage of contents trapped within the liposome [1]. In the past the only way to access these events was to examine the liposomes following the dehydration event. This technique allows the event to be monitored in real time as the liposomes destabilize and as water is sublimed at cryo temperatures in the vacuum of the microscope. The method by which liposomes are compromised by freeze-drying are largely unknown. This technique has shown that cryo-protectants such as glycerol and carbohydrates are able to maintain liposomal structure throughout the drying process.

An Interactive Minicomputer Program for the Indexing and Simulation of Electron Diffraction Patterns

1976 ◽  
Vol 34 ◽  
pp. 542-543
Author(s):  
R.P. Goehner ◽  
W.T. Hatfield ◽  
Prakash Rao
Keyword(s):  
Electron Diffraction ◽  
Real Time ◽  
Pattern Analysis ◽  
Flow Diagram ◽  
Hard Copy ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Transmission Electron ◽  
One Step ◽  
Diffraction Patterns

Computer programs are now available in various laboratories for the indexing and simulation of transmission electron diffraction patterns. Although these programs address themselves to the solution of various aspects of the indexing and simulation process, the ultimate goal is to perform real time diffraction pattern analysis directly off of the imaging screen of the transmission electron microscope. The program to be described in this paper represents one step prior to real time analysis. It involves the combination of two programs, described in an earlier paper(l), into a single program for use on an interactive basis with a minicomputer. In our case, the minicomputer is an INTERDATA 70 equipped with a Tektronix 4010-1 graphical display terminal and hard copy unit.A simplified flow diagram of the combined program, written in Fortran IV, is shown in Figure 1. It consists of two programs INDEX and TEDP which index and simulate electron diffraction patterns respectively. The user has the option of choosing either the indexing or simulating aspects of the combined program.

Microstructural investigation of surface roughness in MBE-grown AlAs

1995 ◽  
Vol 53 ◽  
pp. 454-455
Author(s):  
R. Rajesh ◽  
R. Droopad ◽  
C. H. Kuo ◽  
R. W. Carpenter ◽  
G. N. Maracas
Keyword(s):  
Thin Film ◽  
Real Time ◽  
Growth Control ◽  
Native Oxide ◽  
Effusion Cell ◽  
Surface Oxide Layer ◽  
Microstructural Investigation ◽  
Mbe Growth ◽  
Film Substrate ◽  
And Control

Knowledge of material pseudodielectric functions at MBE growth temperatures is essential for achieving in-situ, real time growth control. This allows us to accurately monitor and control thicknesses of the layers during growth. Undesired effusion cell temperature fluctuations during growth can thus be compensated for in real-time by spectroscopic ellipsometry. The accuracy in determining pseudodielectric functions is increased if one does not require applying a structure model to correct for the presence of an unknown surface layer such as a native oxide. Performing these measurements in an MBE reactor on as-grown material gives us this advantage. Thus, a simple three phase model (vacuum/thin film/substrate) can be used to obtain thin film data without uncertainties arising from a surface oxide layer of unknown composition and temperature dependence.In this study, we obtain the pseudodielectric functions of MBE-grown AlAs from growth temperature (650°C) to room temperature (30°C). The profile of the wavelength-dependent function from the ellipsometry data indicated a rough surface after growth of 0.5 μm of AlAs at a substrate temperature of 600°C, which is typical for MBE-growth of GaAs.

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