Integrating Predictive and Switching Control: Basic Concepts and an Experimental Case Study

2000 ◽  
pp. 181-190 ◽  
Author(s):  
J. M. Lemos ◽  
L. M. Rato ◽  
E. Mosca
Keyword(s):  
Switching Control ◽  
Basic Concepts

Assessment : Basic Concepts, Thoughtful Decisions

2017 ◽  
Vol 1 (1) ◽  
pp. 9-21
Author(s):  
Milton Raul Licona Luna ◽  
Elizabeth Alvarado Martínez
Keyword(s):  
Higher Education ◽  
Foreign Language ◽  
Language Learning ◽  
Assessment For Learning ◽  
Continuous Assessment ◽  
Research Project ◽  
Basic Concepts ◽  
Education In Mexico

Institutions from basic to higher education in Mexico that offer courses of English as a Foreign Language rely heavily on the administering of assessment, usually a formal type of assessment. However, the literature shows how important it is the involvement of other types of assessment in the classroom for effective language learning to take place. For instance, assessment for learning, which consist of a continuous assessment where learners receive feedback so greater learning occurs, what is more, it enables teachers to modify their teaching ways as they reflect on the learners’ progress. To show how assessment is carried out in our context, this research project focuses on a case study within the CAADI from FOD in the UANL.

MoDSEL

2012 ◽  
pp. 572-594
Author(s):  
Ersin Er ◽  
Bedir Tekinerdogan
Keyword(s):  
Software Development ◽  
Impact Analysis ◽  
Software Evolution ◽  
Academic Research ◽  
Model Driven ◽  
Model Driven Software Development ◽  
Basic Concepts ◽  
The Impact ◽  
Development And Evolution

Model-Driven Software Development (MDSD) aims to support the development and evolution of software intensive systems using the basic concepts of model, metamodel, and model transformation. In parallel with the ongoing academic research, MDSD is more and more applied in industrial practices. Like conventional non-MDSD practices, MDSD systems are also subject to changing requirements and have to cope with evolution. In this chapter, the authors provide a scenario-based approach for documenting and analyzing the impact of changes that apply to model-driven development systems. To model the composition and evolution of an MDSD system, they developed the so-called Model-Driven Software Evolution Language (MoDSEL) which is based on a megamodel for MDSD. MoDSEL includes explicit language abstractions to specify both the model elements of an MDSD system and the evolution scenarios that might apply to model elements. Based on MoDSEL specifications, an impact analysis is performed to assess the impact of evolution scenarios and the sensitivity of model elements. A case study is provided to show different kind of evolution scenarios and the required adaptations to model elements.

Electronic Business over Wireless Device

2011 ◽  
pp. 384-396
Author(s):  
Richi Nayak ◽  
Anurag Nayak
Keyword(s):  
Mobile Phones ◽  
Exponential Growth ◽  
Electronic Business ◽  
Wireless Devices ◽  
Business Applications ◽  
Wireless Device ◽  
Basic Concepts ◽  
High Level ◽  
The Voice

Research and practices in electronic businesses over wireless devices have recently seen an exponential growth. This chapter presents the basic concepts necessary to understand m-business applications and a case study of the voice driven airline-ticketing system that can be accessed at any time, anywhere by mobile phones. This application offers maximum functionality while still maintaining a high level of user convenience in terms of input and navigation.

PDE-Based Image Processing

2012 ◽  
pp. 49-89
Author(s):  
Rajeev Srivastava
Keyword(s):  
Image Processing ◽  
Image Restoration ◽  
Shape From Shading ◽  
Surface Geometry ◽  
Partial Differential ◽  
Basic Concepts ◽  
Processing Techniques ◽  
Image Modelling

This chapter describes the basic concepts of partial differential equations (PDEs) based image modelling and their applications to image restoration. The general basic concepts of partial differential equation (PDE)-based image modelling and processing techniques are discussed for image restoration problems. These techniques can also be used in the design and development of efficient tools for various image processing and vision related tasks such as restoration, enhancement, segmentation, registration, inpainting, shape from shading, 3D reconstruction of objects from multiple views, and many more. As a case study, the topic in consideration is oriented towards image restoration using PDEs formalism since image restoration is considered to be an important pre-processing task for 3D surface geometry, reconstruction, and many other applications. An image may be subjected to various types of noises during its acquisition leading to degraded quality of the image, and hence, the noise must be reduced. The noise may be additive or multiplicative in nature. Here, the PDE-based models for removal of both types of noises are discussed. As examples, some PDE-based schemes have been implemented and their comparative study with other existing techniques has also been presented.

The Strength-Based Counseling Model

2006 ◽  
Vol 34 (1) ◽  
pp. 13-79 ◽  
Author(s):  
Elsie J. Smith
Keyword(s):  
Risk Factors ◽  
Protective Factors ◽  
At Risk Youth ◽  
Strength Assessment ◽  
Strength Based ◽  
Basic Concepts ◽  
Counseling Model ◽  
Strength Perspective ◽  
And Training

This article proposes a strength-based model for counseling at-risk youth. The author presents the assumptions, basic concepts, and values of the strength perspective in counseling and offers strength categories as a conceptual model for viewing clients’ behavior. Propositions leading toward a theory of strength-based counseling and stages of this model are given, representative strength-based counseling techniques are examined, and a case study is used to illustrate risk factors, protective factors, and strength assessment. Ethical, research, and training implications of the strength-based model of counseling are discussed.

DISCRETIZATION CHAOS IN THE SWITCHING CONTROL SYSTEM WITH FINITE SWITCHING VALUES

1995 ◽  
Vol 05 (06) ◽  
pp. 1749-1755 ◽  
Author(s):  
XING HUO YU
Keyword(s):  
Control System ◽  
Initial Conditions ◽  
Switching Control ◽  
Second Order ◽  
Periodic Motions ◽  
Theoretical Investigations ◽  
Simulation Results

A case study is presented to demonstrate the discretization chaos in the switching control system with only finite switching values. It is proved that for the second order oscillator, with several classes of sampling periods, discrete switching control enables periodic motions around the desired equilibrium. The pattern of the discretized system is determined by the initial conditions as well as the sampling periods. Simulation results are presented to confirm the theoretical investigations.

scholarly journals Developing Value Innovation Strategy In The "Blue Ocean Shift" Framework At The Flat Glass Industry In Indonesia

2020 ◽  
Vol 4 (1) ◽  
pp. 47
Author(s):  
Rudy Subagio
Keyword(s):  
Southeast Asia ◽  
Glass Industry ◽  
Glass Factory ◽  
Flat Glass ◽  
Value Innovation ◽  
Exploratory Case Study ◽  
Two Factors ◽  
The Face ◽  
Basic Concepts

Competition in the flat glass market in Indonesia since 2015 has been increasingly severe because much imported glass has entered Indonesia. The rapid rate of imported glass is due to two factors:  the enactment of the free trade pact in Southeast Asia and the expansion of the Chinese glass factory that built new factories in the Southeast Asia region, especially in Malaysia. Most of the imported glass entering Indonesia is commodity glass at a lower than local products, so they have begun to take a portion of the market share of local products. This competition is getting more onerous because the local flat glass industry has difficulties in reducing the price to be equal or lower than competitors' price due to the production cost structure is already too high. This research explores the basic concepts of strategies carried out by local flat glass companies in the face of competition in the flat glass industry. This is based on the concept of value innovation in the framework of “blue ocean shift.”  The research method used is an exploratory case study draws on an in-depth field study conducted in a local flat glass company based in Indonesia. 

scholarly journals Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Diabetic Disease Setting (Preprint)

2020 ◽  
Author(s):  
Junetae Kim ◽  
Sangwon Lee ◽  
Eugene Hwang ◽  
Kwang Sun Ryu ◽  
Hanseok Jeong ◽  
...  
Keyword(s):  
Deep Learning ◽  
Clinical Research ◽  
Degrees Of Freedom ◽  
Empirical Studies ◽  
Variable Importance ◽  
Prediction Performance ◽  
Attention Mechanism ◽  
Clinical Settings ◽  
Basic Concepts

BACKGROUND Despite excellent prediction performance, noninterpretability has undermined the value of applying deep-learning algorithms in clinical practice. To overcome this limitation, attention mechanism has been introduced to clinical research as an explanatory modeling method. However, potential limitations of using this attractive method have not been clarified to clinical researchers. Furthermore, there has been a lack of introductory information explaining attention mechanisms to clinical researchers. OBJECTIVE The aim of this study was to introduce the basic concepts and design approaches of attention mechanisms. In addition, we aimed to empirically assess the potential limitations of current attention mechanisms in terms of prediction and interpretability performance. METHODS First, the basic concepts and several key considerations regarding attention mechanisms were identified. Second, four approaches to attention mechanisms were suggested according to a two-dimensional framework based on the degrees of freedom and uncertainty awareness. Third, the prediction performance, probability reliability, concentration of variable importance, consistency of attention results, and generalizability of attention results to conventional statistics were assessed in the diabetic classification modeling setting. Fourth, the potential limitations of attention mechanisms were considered. RESULTS Prediction performance was very high for all models. Probability reliability was high in models with uncertainty awareness. Variable importance was concentrated in several variables when uncertainty awareness was not considered. The consistency of attention results was high when uncertainty awareness was considered. The generalizability of attention results to conventional statistics was poor regardless of the modeling approach. CONCLUSIONS The attention mechanism is an attractive technique with potential to be very promising in the future. However, it may not yet be desirable to rely on this method to assess variable importance in clinical settings. Therefore, along with theoretical studies enhancing attention mechanisms, more empirical studies investigating potential limitations should be encouraged.

Adaptive Neuro-Fuzzy Inference System in Agriculture

2020 ◽  
pp. 130-153
Author(s):  
K. Aditya Shastry ◽  
Sanjay H. A.
Keyword(s):  
Crop Yield ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Yield Prediction ◽  
Inference System ◽  
Fourth Section ◽  
The Third ◽  
Neuro Fuzzy ◽  
Basic Concepts

This chapter emphasizes the use of adaptive fuzzy inference system (ANFIS) in agriculture. An overview of the basic concepts of ANFIS is provided at the beginning, where the underlying architecture of ANFIS is also discussed. The introduction is followed by the second section which highlights the diverse applications of ANFIS in agriculture during recent times. The third section describes how Matlab software can be utilized to build the ANFIS model. The fourth section describes the case study of the application of ANFIS for crop yield prediction. The conclusion follows this case study.

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