A Voltage Regulating Radial Feeder with Enhanced Hosting Capacity under Constrained conditions

2021 ◽  
Author(s):  
Kamesh I B Heenkenda ◽  
Ravindi S Ranatunga ◽  
Thimila B Ranaweera ◽  
Sunil Gamini Abeyratne ◽  
Kirthi S Walgama ◽  
...  
Keyword(s):  
Constrained Conditions

scholarly journals What Should SMEs Consider to Introduce Environmentally Innovative Products to Market?

2019 ◽  
Vol 11 (4) ◽  
pp. 1117 ◽  
Author(s):  
Daegyu Yang
Keyword(s):  
External Information ◽  
Environmental Innovation ◽  
Technological Support ◽  
Innovation Activities ◽  
Innovative Products ◽  
Managerial Implications ◽  
Potential Factors ◽  
The Government ◽  
Develop Market ◽  
Constrained Conditions

In recent years, companies are challenged not only to develop market competencies but also to deal with environmental issues. Unlike larger companies equipped with abundant resources and sustainable capabilities, small- and medium-sized enterprises (SMEs) are under relatively constrained conditions to effectively deal with environmental concerns as well as market demands. This study attempts to examine a set of potential factors by which SMEs can overcome such limited conditions and bring novel and environmentally beneficial products to market through their innovative activities. Organization theories, such as organizational learning, social network theory, and new-institutional theory, provide a theoretical framework for this study that SMEs may utilize their resources and capabilities from internal, external, and institutional domains. The hypotheses are tested using the Korea Innovation Survey 2010. The analyses show that the likelihood of the market introduction of new and environmentally innovative products is increased not only when an SME makes more monetary investments on internal innovative activities and experiences more success in general innovation activities, but also when an SME inputs more monetary investments into the search for technological knowledge from the outside and utilizes more diverse external information sources. Interestingly, the findings demonstrate that monetary support from the government do not have significant impacts on an SME’s environmental innovation, while a non-monetary technological support system operated by government raises the likelihood of the market introduction of new and environmentally innovative products. Theoretical contributions and managerial implications are discussed.

Application of Improved Genetic Algorithm in Maintenance Decision for Turbine-Generator Unit

2010 ◽  
Vol 44-47 ◽  
pp. 2940-2944
Author(s):  
Qing He ◽  
Jian Ding Zhang
Keyword(s):  
Genetic Algorithm ◽  
Heuristic Algorithms ◽  
Maintenance Scheduling ◽  
Improved Genetic Algorithm ◽  
Turbine Generator ◽  
Executive Process ◽  
Generator Unit ◽  
Maintenance Decision ◽  
Constrained Conditions ◽  
Operating Unit

The complicated function relations are more prone to appear in the maintenance scheduling of steam-turbine generator unit. Many constrained conditions are often attendant with these function relations. In these situations, the traditional method often can not obtain the exact value. The genetic algorithm (GA), a kind of the heuristic algorithms, does not need the function own good analytic properties. In addition, as the operating unit of GA is the group, so it applies to the parallel computing process. In GA executive process, the offspring continually inherit the genes from the parents, so it is more prone to be involved in the local convergence. An improved genetic algorithm is proposed and used in the model of maintenance decision of turbine-generator unit under. The goal of the model is to seek to the rational maintenance scheduling of the generator unit, so as to minimize the sum of the maintenance expense, the loss of the profit on the generated energy, and the loss of the penalty. It is proved by the example that IGA is highly efficient.

EQUIVALENT CNN CELL MODELS AND PATTERNS

2003 ◽  
Vol 13 (05) ◽  
pp. 1055-1161 ◽  
Author(s):  
MAKOTO ITOH ◽  
LEON O. CHUA
Keyword(s):  
Genetic Algorithms ◽  
Wave Propagation ◽  
Pattern Formation ◽  
Discrete Time ◽  
Cell Model ◽  
Formation Mechanisms ◽  
Associative Memories ◽  
Cell Models ◽  
Canonical Models ◽  
Constrained Conditions

In this paper, canonical isolated CNN cell models are proposed by using implicit differential equations. A number of equivalent but distinct CNN cell models are derived from these canonical models. Almost every known CNN cell model can be classified into one or more groups via constrained conditions. This approach is also applied to discrete-time CNN cell models. Pattern formation mechanisms are investigated from the viewpoint of equivalent templates and genetic algorithms. A strange wave propagation phenomenon in nonuniform CNN cells is also presented in this paper. Finally, chaotic associative memories are proposed.

scholarly journals Neutrosophic Number Optimization Models and Their Application in the Practical Production Process

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Angyan Tu ◽  
Jun Ye ◽  
Bing Wang
Keyword(s):  
Production Process ◽  
Optimal Solution ◽  
Optimization Models ◽  
Optimal Solutions ◽  
Practical Applications ◽  
Linear And Nonlinear Programming ◽  
Constrained Conditions ◽  
Minimum Objective Function ◽  
Maximum Minimum ◽  
Neutrosophic Number

In order to simplify the complex calculation and solve the difficult solution problems of neutrosophic number optimization models (NNOMs) in the practical production process, this paper presents two methods to solve NNOMs, where Matlab built-in function “fmincon()” and neutrosophic number operations (NNOs) are used in indeterminate environments. Next, the two methods are applied to linear and nonlinear programming problems with neutrosophic number information to obtain the optimal solution of the maximum/minimum objective function under the constrained conditions of practical productions by neutrosophic number optimization programming (NNOP) examples. Finally, under indeterminate environments, the fit optimal solutions of the examples can also be achieved by using some specified indeterminate scales to fulfill some specified actual requirements. The NNOP methods can obtain the feasible and flexible optimal solutions and indicate the advantage of simple calculations in practical applications.

Trajectory Planning for Concrete Pump Truck Based on Intelligent Hill Climbing and Genetic Algorithm

2011 ◽  
Vol 127 ◽  
pp. 360-367 ◽  
Author(s):  
Xiao Dong Kang ◽  
Gang Huang ◽  
Xian Li Cao ◽  
Xiang Zhou
Keyword(s):  
Genetic Algorithm ◽  
Trajectory Planning ◽  
Performance Comparison ◽  
Hill Climbing ◽  
Planning Problem ◽  
Online Planning ◽  
And Performance ◽  
Concrete Pump Truck ◽  
Concrete Pump ◽  
Constrained Conditions

This paper takes the five –link concrete pump boom as the research object, and transforms its trajectory planning issue into a multi-object optimization problem. Using intelligent hill climbing algorithm and genetic algorithm, and integrating them closely to ensure real-time online planning for the pump truck effectively, and make the planned motion trajectory for the boom is global optimized under particular constrained conditions. Simulation and performance comparison experiments show that this hybrid algorithm is practical and effective, which offers a new approach for the trajectory planning problem of concrete pump truck.

Time Stress and the Processing of Visual Displays

1992 ◽  
Vol 34 (6) ◽  
pp. 707-725 ◽  
Author(s):  
Bruce G. Coury ◽  
Margery D. Boulette
Keyword(s):  
Response Times ◽  
The State ◽  
Time Constraints ◽  
Digital Display ◽  
Visual Displays ◽  
Display Format ◽  
Operator Performance ◽  
Time Stress ◽  
Constrained Conditions ◽  
Selection Of

Selecting the appropriate display format for time-constrained tasks is the focus of the research presented in this paper. The effect of time stress on operator performance was assessed by manipulating the time available to process the display. Twenty people were trained as operators and instructed to identify the state of a system using either a digital display or a polygon display. Participants were required to reach a prespecified criterion in training and were then tested under?. time-constrained conditions. Time constraints were set at 100%, 50%, and 25% of each person's mean unpaced response times obtained during training. Results showed that response to the time constrained conditions was significantly affected by uncertainty and the type of display format. Discussion focuses on the effects of time stress on performance and the selection of displays for time-constrained tasks.

A New Numerical Algorithm for Transmission Error Measurement at Gears Meshing

2012 ◽  
Vol 472-475 ◽  
pp. 1563-1567
Author(s):  
Ai Jun Xu ◽  
Xiao Zhong Deng ◽  
Jing Zhang ◽  
Kai Xu ◽  
Ju Bo Li
Keyword(s):  
Numerical Algorithm ◽  
Angular Resolution ◽  
Angular Displacement ◽  
Transmission Error ◽  
Comparison Method ◽  
Dynamic Measurement ◽  
Driving Mechanism ◽  
Error Measurement ◽  
Measurement Algorithm ◽  
Constrained Conditions

Many different methods have been developed for the measurement of transmission error (T.E.) at gears meshing. Each strategy improved the measurement performance is based on comparing the phases of sequence signals by counting the number of encoder pulses. The phase comparison method of T.E. is a dynamic measurement algorithm with lower angular resolution and many constrained conditions. This paper presents a new numerical algorithm aimed to provide the high accuracy information of instantaneous T.E. in the form of angular displacement. The analysis approach uses phase shift and demodulation technology in frequency domain to process the signals generated by encoders fixed on the both shaft of the gear driving mechanism. Finally, the algorithm is tested by simulation of gear meshing signal in Matlab software.

Should We Base Training Prescription on the Force–Velocity Profile? Exploratory Study of Its Between-Day Reliability and Differences Between Methods

2020 ◽  
pp. 1-7
Author(s):  
Pedro L. Valenzuela ◽  
Guillermo Sánchez-Martínez ◽  
Elaia Torrontegi ◽  
Javier Vázquez-Carrión ◽  
Zigor Montalvo ◽  
...  
Keyword(s):  
Coefficient Of Variation ◽  
Intraclass Correlation ◽  
Reliability Coefficient ◽  
Power Coefficient ◽  
Squat Jump ◽  
Jump Test ◽  
Force Velocity ◽  
Constrained Conditions ◽  
Vertical Jumps ◽  
Good Agreement

Purpose: To analyze the differences in the force–velocity (F–v) profile assessed under unconstrained (ie, using free weights) and constrained (ie, on a Smith machine) vertical jumps, as well as to determine the between-day reliability. Methods: A total of 23 trained participants (18 [1] y) performed an incremental load squat jump test (with ∼35%, 45%, 60%, and 70% of the subjects’ body mass) on 2 different days using free weights and a Smith machine. Nine of these participants repeated the tests on 2 other days for an exploratory analysis of between-day reliability. F–v variables (ie, maximum theoretical force [F0], velocity [v0], and power, and the imbalance between the actual and the theoretically optimal F–v profile) were computed from jump height. Results: A poor agreement was observed between the F–v variables assessed under constrained and unconstrained conditions (intraclass correlation coefficient [ICC] < .50 for all). The height attained during each single jump performed under both constrained and unconstrained conditions showed an acceptable reliability (coefficient of variation < 10%, ICC > .70). The F–v variables computed under constrained conditions showed an overall good agreement (ICC = .75–.95 for all variables) and no significant differences between days (P > .05), but a high variability for v0, the imbalance between the actual and the theoretically optimal F–v profile, and maximal theoretical power (coefficient of variation = 17.0%–27.4%). No between-day differences were observed for any F–v variable assessed under unconstrained conditions (P > .05), but all of the variables presented a low between-day reliability (coefficient of variation > 10% and ICC < .70 for all). Conclusions: F–v variables differed meaningfully when obtained from constrained and unconstrained loaded jumps, and most importantly seemed to present a low between-day reliability.

Understanding and exploiting the genetics of plant root traits

2021 ◽  
pp. 395-466
Author(s):  
Roberto Tuberosa ◽  
◽  
Elisabetta Frascaroli ◽  
Marco Maccaferri ◽  
Silvio Salvi ◽  
...  
Keyword(s):  
Environmental Impact ◽  
Plant Root ◽  
Root Traits ◽  
The Past ◽  
Vast Literature ◽  
New Generation Sequencing ◽  
New Generation ◽  
Constrained Conditions ◽  
Major Emphasis ◽  
Generation Sequencing

This chapter illustrates how genomics and other -omics approaches coupled with new-generation sequencing (NGS) platforms have been deployed to dissect the genetic make-up of RSA traits and better understand their functions, particularly under environmentally constrained conditions that commonly occur in most farmed soils. The major emphasis is devoted to studies during the past two decades in crops and only occasional reference is provided to the vast literature from RSA studies conducted in Arabidopsis and other model plants. The chapter also provides examples on how, in some cases, this knowledge is already benefiting farmers and how it can help in reducing the environmental impact of agriculture worldwide.

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