Chapter 9. Assessing Quantitative Model Quality and Performance

2011 ◽  
pp. 242-266
Author(s):  
Andrew M. Davis
Keyword(s):  
Quantitative Model ◽  
Model Quality ◽  
And Performance

scholarly journals Artificial Intelligence for Text-Based Vehicle Search, Recognition, and Continuous Localization in Traffic Videos

AI ◽  
2021 ◽  
Vol 2 (4) ◽  
pp. 684-704
Author(s):  
Karen Panetta ◽  
Landry Kezebou ◽  
Victor Oludare ◽  
James Intriligator ◽  
Sos Agaian
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Transportation Systems ◽  
Large Scale ◽  
Image Data ◽  
Ground Truth ◽  
Quantitative Model ◽  
Transportation Systems ◽  
Ground Truth Data ◽  
Vehicle Recognition ◽  
And Performance

The concept of searching and localizing vehicles from live traffic videos based on descriptive textual input has yet to be explored in the scholarly literature. Endowing Intelligent Transportation Systems (ITS) with such a capability could help solve crimes on roadways. One major impediment to the advancement of fine-grain vehicle recognition models is the lack of video testbench datasets with annotated ground truth data. Additionally, to the best of our knowledge, no metrics currently exist for evaluating the robustness and performance efficiency of a vehicle recognition model on live videos and even less so for vehicle search and localization models. In this paper, we address these challenges by proposing V-Localize, a novel artificial intelligence framework for vehicle search and continuous localization captured from live traffic videos based on input textual descriptions. An efficient hashgraph algorithm is introduced to compute valid target information from textual input. This work further introduces two novel datasets to advance AI research in these challenging areas. These datasets include (a) the most diverse and large-scale Vehicle Color Recognition (VCoR) dataset with 15 color classes—twice as many as the number of color classes in the largest existing such dataset—to facilitate finer-grain recognition with color information; and (b) a Vehicle Recognition in Video (VRiV) dataset, a first of its kind video testbench dataset for evaluating the performance of vehicle recognition models in live videos rather than still image data. The VRiV dataset will open new avenues for AI researchers to investigate innovative approaches that were previously intractable due to the lack of annotated traffic vehicle recognition video testbench dataset. Finally, to address the gap in the field, five novel metrics are introduced in this paper for adequately accessing the performance of vehicle recognition models in live videos. Ultimately, the proposed metrics could also prove intuitively effective at quantitative model evaluation in other video recognition applications. T One major advantage of the proposed vehicle search and continuous localization framework is that it could be integrated in ITS software solution to aid law enforcement, especially in critical cases such as of amber alerts or hit-and-run incidents.

scholarly journals Revisiting a model to predict pure triglyceride thermodynamic properties: parameter optimization and performance

2021 ◽  
Author(s):  
Julia Seilert ◽  
Arun Moorthy ◽  
Anthony Kearsley ◽  
Eckhardt Flöter
Keyword(s):  
Solid Phase ◽  
Pure Component ◽  
Test Cases ◽  
Model Quality ◽  
Primary Model ◽  
Model Predictions ◽  
And Performance ◽  
Unsaturated Triglycerides ◽  
Theory And Experiments ◽  
Optimization And Performance

In 1990, a well-known model to predict pure component properties of triglycerides was presented by Wesdorp in “Liquid-multiple solid phase equilibria in fats: theory and experiments” and has been shown to perform well despite making thermodynamically inconsistent predictions for certain test cases. In this study, the underlying parameter set is improved to deliver more physically consistent predictions, i.e., increasing melting point and enthalpy of fusion with increasing stability of the polymorphs, without deterioration of the primary model quality to describe the available experimental data. Interestingly, when a curated dataset containing only thermodynamically consistent data is compared to a broader dataset, it appears that the model’s efficacy is highly dependent on the quantity of data, specifically the number of unsaturated triglycerides data. Quality and thermodynamic consistency of model predictions and the condition of a reliable description of monoacid triglycerides as a subset is discussed, addressing a potential interdependence.

scholarly journals MARKET ATTRACTION AND CAPABILITY FACTORS IN IMPROVING MARKETING PERFORMANCE THROUGH STRATEGIC DEVELOPMENT

2020 ◽  
Vol 21 (2) ◽  
pp. 114-128
Author(s):  
Rahayu Kusumadewi
Keyword(s):  
Private Universities ◽  
Sampling Technique ◽  
Quantitative Model ◽  
Sem Analysis ◽  
Capacity Factor ◽  
Analysis Model ◽  
Marketing Performance ◽  
Financial Strength ◽  
Development Technology ◽  
And Performance

Private universities have high competition and demand to show their quality and reliable competitiveness. This research aims to analyze the attraction factor of private universities and their capabilities in supporting the development of marketing strategy and performance. This research applied a quantitative model with descriptive and verification analysis, and the used analytical tool is the SEM analysis model. The sampling technique is cluster proportional random sampling covering respondents from the stakeholders of the private university in West Java. The research findings prove that the attraction and capability factors have a significant influence on strategy, and the strategy has an effect on marketing performance, and the development of strategic planning as a strategic guideline in achieving the organization’s vision and mission, which in turn can realize superior marketing performance. Moreover, this study reveals that the capacity factor has an essential influence on private universities, in particular, when paying attention to the dynamic aspects of technology and information development. Technology and information have a very significant role in realizing the superior quality of universities and can build their perceptions in the community. Another important finding is that the capacity factor has a stronger effect than the attraction factor. That is, the capability factors consisting of resources, management systems, financial strength, infrastructure support, and information technology ownership have a very strong influence in determining marketing performance.

Governing Farmland Conversion for Urban Development from the Perspective of Transaction Cost Economics

Urban Studies ◽  
2011 ◽  
Vol 49 (10) ◽  
pp. 2265-2283 ◽  
Author(s):  
Rong Tan ◽  
Volker Beckmann ◽  
Futian Qu ◽  
Cifang Wu
Keyword(s):  
Urban Development ◽  
Transaction Costs ◽  
Transaction Cost ◽  
Transaction Cost Economics ◽  
Quantitative Model ◽  
Process Efficiency ◽  
Governance Structures ◽  
Farmland Conversion ◽  
And Performance

This paper considers farmland conversion for the purpose of urban development as a series of transactions and discusses the determinants of appropriate governance structures for governing farmland conversion in terms of process efficiency. Towards this end, the paper develops a theoretical framework for analysing the process of farmland conversion based on transaction cost economics. The framework covers transactions, transaction attributes, governance structures and performance with the aim of minimising transaction costs. The paper also demonstrates the usability of the framework by creating a corresponding quantitative model for a case study in China. Furthermore, it identifies factors that influence the transaction costs associated with farmland conversion in China and explains why the related governance structures are chosen.

Transmission Scanning Electron Microscopy and Energy Analysis with the Siemens ELMISKOP 101

1972 ◽  
Vol 30 ◽  
pp. 450-451
Author(s):  
H. M. Thieringer
Keyword(s):  
Objective Lens ◽  
Transmission Microscopy ◽  
Image Recording ◽  
Mode Of Operation ◽  
Scanning Transmission ◽  
Electron Microscopes ◽  
And Performance ◽  
Convergent Beam ◽  
Ray Path ◽  
Beam Diffraction

It has repeatedly been show that with conventional electron microscopes very fine electron probes can be produced, therefore allowing various micro-techniques such as micro recording, X-ray microanalysis and convergent beam diffraction. In this paper the function and performance of an SIEMENS ELMISKOP 101 used as a scanning transmission microscope (STEM) is described. This mode of operation has some advantages over the conventional transmission microscopy (CTEM) especially for the observation of thick specimen, in spite of somewhat longer image recording times.Fig.1 shows schematically the ray path and the additional electronics of an ELMISKOP 101 working as a STEM. With a point-cathode, and using condensor I and the objective lens as a demagnifying system, an electron probe with a half-width ob about 25 Å and a typical current of 5.10-11 amp at 100 kV can be obtained in the back focal plane of the objective lens.

Angular Resolved Electron Spectroscopy with Parallel Recording

1990 ◽  
Vol 48 (2) ◽  
pp. 370-371
Author(s):  
Huang Min ◽  
P.S. Flora ◽  
C.J. Harland ◽  
J.A. Venables
Keyword(s):  
Electron Spectroscopy ◽  
Low Voltage ◽  
Solid Angle ◽  
Detection System ◽  
Voltage Electron ◽  
Cylindrical Mirror ◽  
Inner Radius ◽  
Channel Plate ◽  
And Performance ◽  
Type Detector

A cylindrical mirror analyser (CMA) has been built with a parallel recording detection system. It is being used for angular resolved electron spectroscopy (ARES) within a SEM. The CMA has been optimised for imaging applications; the inner cylinder contains a magnetically focused and scanned, 30kV, SEM electron-optical column. The CMA has a large inner radius (50.8mm) and a large collection solid angle (Ω > 1sterad). An energy resolution (ΔE/E) of 1-2% has been achieved. The design and performance of the combination SEM/CMA instrument has been described previously and the CMA and detector system has been used for low voltage electron spectroscopy. Here we discuss the use of the CMA for ARES and present some preliminary results.The CMA has been designed for an axis-to-ring focus and uses an annular type detector. This detector consists of a channel-plate/YAG/mirror assembly which is optically coupled to either a photomultiplier for spectroscopy or a TV camera for parallel detection.

Novel epoxy/anhydride alternatives for biological electron microscopy: Physical and performance characteristis of embed 812 and LX 112 in combination with NSA/NMA/DMAE

1989 ◽  
Vol 47 ◽  
pp. 1000-1001
Author(s):  
Joe A. Mascorro ◽  
Gerald S. Kirby
Keyword(s):  
Electron Microscopy ◽  
Flow Rate ◽  
Succinic Anhydride ◽  
Volume Flow Rate ◽  
Mass Density ◽  
Uranyl Acetate ◽  
Volume Flow ◽  
Base Resin ◽  
And Performance ◽  
Acid Anhydrides

Embedding media based upon an epoxy resin of choice and the acid anhydrides dodecenyl succinic anhydride (DDSA), nadic methyl anhydride (NMA), and catalyzed by the tertiary amine 2,4,6-Tri(dimethylaminomethyl) phenol (DMP-30) are widely used in biological electron microscopy. These media possess a viscosity character that can impair tissue infiltration, particularly if original Epon 812 is utilized as the base resin. Other resins that are considerably less viscous than Epon 812 now are available as replacements. Likewise, nonenyl succinic anhydride (NSA) and dimethylaminoethanol (DMAE) are more fluid than their counterparts DDSA and DMP- 30 commonly used in earlier formulations. This work utilizes novel epoxy and anhydride combinations in order to produce embedding media with desirable flow rate and viscosity parameters that, in turn, would allow the medium to optimally infiltrate tissues. Specifically, embeding media based on EmBed 812 or LX 112 with NSA (in place of DDSA) and DMAE (replacing DMP-30), with NMA remaining constant, are formulated and offered as alternatives for routine biological work.Individual epoxy resins (Table I) or complete embedding media (Tables II-III) were tested for flow rate and viscosity. The novel media were further examined for their ability to infilftrate tissues, polymerize, sectioning and staining character, as well as strength and stability to the electron beam and column vacuum. For physical comparisons, a volume (9 ml) of either resin or media was aspirated into a capillary viscocimeter oriented vertically. The material was then allowed to flow out freely under the influence of gravity and the flow time necessary for the volume to exit was recored (Col B,C; Tables). In addition, the volume flow rate (ml flowing/second; Col D, Tables) was measured. Viscosity (n) could then be determined by using the Hagen-Poiseville relation for laminar flow, n = c.p/Q, where c = a geometric constant from an instrument calibration with water, p = mass density, and Q = volume flow rate. Mass weight and density of the materials were determined as well (Col F,G; Tables). Infiltration schedules utilized were short (1/2 hr 1:1, 3 hrs full resin), intermediate (1/2 hr 1:1, 6 hrs full resin) , or long (1/2 hr 1:1, 6 hrs full resin) in total time. Polymerization schedules ranging from 15 hrs (overnight) through 24, 36, or 48 hrs were tested. Sections demonstrating gold interference colors were collected on unsupported 200- 300 mesh grids and stained sequentially with uranyl acetate and lead citrate.

Trace nanoanalysis

1994 ◽  
Vol 52 ◽  
pp. 940-941
Author(s):  
D. E. Newbury ◽  
R. D. Leapman
Keyword(s):  
High Performance ◽  
Secondary Ion Mass Spectrometry ◽  
Detection Efficiency ◽  
Volume Element ◽  
And Performance ◽  
Trace Constituents ◽  
Secondary Ion ◽  
Concentration Levels ◽  
Structure Properties

Trace constituents, which can be very loosely defined as those present at concentration levels below 1 percent, often exert influence on structure, properties, and performance far greater than what might be estimated from their proportion alone. Defining the role of trace constituents in the microstructure, or indeed even determining their location, makes great demands on the available array of microanalytical tools. These demands become increasingly more challenging as the dimensions of the volume element to be probed become smaller. For example, a cubic volume element of silicon with an edge dimension of 1 micrometer contains approximately 5×1010 atoms. High performance secondary ion mass spectrometry (SIMS) can be used to measure trace constituents to levels of hundreds of parts per billion from such a volume element (e. g., detection of at least 100 atoms to give 10% reproducibility with an overall detection efficiency of 1%, considering ionization, transmission, and counting).

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