Cognition and Design: Selection of Illustration Style in Native Products Packaging Design Based on Neurocognitive Science

2018 ◽  
Vol 16 (6) ◽  
Author(s):  
Yang Wu ◽  
Chi Xu
Keyword(s):  
Packaging Design ◽  
Design Selection ◽  
Selection Of

scholarly journals Asymptotic Expansions and Strategies in the Online Increasing Subsequence Problem

2021 ◽  
Vol 174 (1) ◽  
Author(s):  
Amirlan Seksenbayev
Keyword(s):  
Dynamic Programming ◽  
Asymptotic Expansions ◽  
Dual Problem ◽  
Infinite Length ◽  
Expected Time ◽  
Selection Strategies ◽  
Dynamic Programming Equation ◽  
Optimal Values ◽  
Design Selection ◽  
Selection Of

AbstractWe study two closely related problems in the online selection of increasing subsequence. In the first problem, introduced by Samuels and Steele (Ann. Probab. 9(6):937–947, 1981), the objective is to maximise the length of a subsequence selected by a nonanticipating strategy from a random sample of given size $n$ n . In the dual problem, recently studied by Arlotto et al. (Random Struct. Algorithms 49:235–252, 2016), the objective is to minimise the expected time needed to choose an increasing subsequence of given length $k$ k from a sequence of infinite length. Developing a method based on the monotonicity of the dynamic programming equation, we derive the two-term asymptotic expansions for the optimal values, with $O(1)$ O ( 1 ) remainder in the first problem and $O(k)$ O ( k ) in the second. Settling a conjecture in Arlotto et al. (Random Struct. Algorithms 52:41–53, 2018), we also design selection strategies to achieve optimality within these bounds, that are, in a sense, best possible.

scholarly journals Mooring Design Selection of Aquaculture Cage for Indonesian Ocean

2018 ◽  
Vol 135 ◽  
pp. 012022
Author(s):  
Y Mulyadi ◽  
N Syahroni ◽  
K Sambodho ◽  
M Zikra ◽  
Wahyudi ◽  
...  
Keyword(s):  
Design Selection ◽  
Selection Of

Analysis of Brief Tension Loss in TLP Tethers

1988 ◽  
Vol 110 (1) ◽  
pp. 43-47 ◽  
Author(s):  
J. N. Brekke ◽  
T. N. Gardner
Keyword(s):  
Time Domain ◽  
Large Diameter ◽  
Nonlinear Effects ◽  
Response Analysis ◽  
Bending Stress ◽  
Large Wave ◽  
Wave Trough ◽  
Design Selection ◽  
The Time Domain ◽  
Selection Of

The avoidance of “slack” tethers is one of the factors which may establish the required tether pretension in a tension leg platform (TLP) design. Selection of an appropriate safety factor on loss of tension depends on how severe the consequences may be. It is sometimes argued that if tethers go slack, the result may be excessive platform pitch or roll motions, tether buckling, or “snap” or “snatch” loading of the tether. The results reported here show that a four-legged TLP would not be susceptible to larger angular motions until two adjacent legs lose tension simultaneously. Even then, this analysis shows that a brief period of tether tension loss (during the passage of a large wave trough) does not lead to excessive platform motion. Similarly, momentary tension loss does not cause large bending stress in the tether or significant tension amplification as the tether undergoes retensioning. This paper presents TLP platform and tether response analysis results for a representative deepwater Gulf of Mexico TLP with large-diameter, self-buoyant tethers. The time-domain, dynamic computer analysis included nonlinear effects and platform/tether coupling.

Optimum design selection of jigs/fixtures using digraph and matrix methods

2010 ◽  
Vol 20 (1/2/3/4) ◽  
pp. 358 ◽  
Author(s):  
V. Paramasivam ◽  
K.P. Padmanaban ◽  
V. Senthil
Keyword(s):  
Optimum Design ◽  
Matrix Methods ◽  
Design Selection ◽  
Selection Of

scholarly journals 3D polymeric scaffolds for oral tissue regeneration

2019 ◽  
Vol 37 (3) ◽  
pp. 28
Author(s):  
Daniel Chavarría-Bolaños ◽  
Diana Villalobos ◽  
José Roberto Vega-Baudrit
Keyword(s):  
Tissue Regeneration ◽  
Clinical Performance ◽  
Correct Diagnosis ◽  
Three Dimensional ◽  
Biological Response ◽  
Active Role ◽  
Innovative Idea ◽  
Design Selection ◽  
Selection Of ◽  
The Ideal

A fundamental base of bioengineering and tissue regeneration is the selection and development of the scaffolds responsible for cell growth. However, finding the “ideal” scaffold depends not only on proposing an innovative idea, but also on considering multiple chemical, biological, and physical aspects that can be manipulated to optimize their future clinical performance. Multiple local variables (such as local inflammation, vascularity, tissue damage, immune response, among others), as well as systemic variables (diseases or concomitant treatments) can favor or affect the scaffold behavior in each case. The selection of the ideal scaffold for each case involves three indispensable steps: design, selection of manufacturing material, and visualization of the future biological function that each biomaterial will perform. The design is always a parallel process with the selection of the ideal biomaterial. Certain “light” scaffolds (such as membranes, hydrogels, or sponges) will require the use of polymers that allow their simple manipulation and early degradation, which in turn can favor the release of charged molecules previously included, obtaining an active scaffold known as drug delivery system. On the other hand, structural scaffolds that are prone to replace block compromised structures may need different designs and production techniques, where three-dimensional printing is included. All of these options should consider important aspects such as bioactivity, regenerative capacity, and biological response of the surrounding tissues. Some alternatives may induce greater cell adhesion and proliferation, while optimizing the osseointegration and healing processes. Other alternatives may play a more “active” role while promoting regeneration processes and controlling local infectious diseases or painful responses. In order to look for the best translational approach of the biomaterial, each option must be chosen with the correct diagnosis of the case to be treated.

scholarly journals Evaluation Method to Select Pure Electric Buses Based on Road Operation Tests

2019 ◽  
Vol 11 (1) ◽  
pp. 4
Author(s):  
Yanzhong Liu ◽  
Jie He ◽  
Wenhui Lu ◽  
Xintong Yan ◽  
Cheng Cheng
Keyword(s):  
Evaluation Method ◽  
Economic Security ◽  
Environmental Concerns ◽  
Analytic Hierarchy ◽  
Qualitative And Quantitative ◽  
Actual Operation ◽  
Design Selection ◽  
Quantitative Indicators ◽  
Hierarchy Process ◽  
Selection Of

In China, the development of pure electric buses is an essential means to address energy and environmental concerns. Proper evaluation and selection of pure electric buses is a crucial step prior to introducing the buses into actual operation. This paper presents a multi-objective method for the selection of pure electric buses based on road driving tests. An index system for evaluating the operating performance through the fuzzy analytic hierarchy process is established, and to ensure the method is more systematic than those in previous studies, indicators are classified into three categories: qualitative, semi-qualitative and quantitative indicators, of which the nineteen indexes have been comprehensively considered and designed. To verify the advantage of the evaluation method proposed in the article, two typical buses were selected as the assessed objectives regarding reliability, economic, security, environmental adaptability, etc. The assessing process indicates that the method is easily implemented and of high practical value. Additionally, the results show satisfactory agreement with the actual scenario. Thus, it can be assumed that the method detailed herein provides a basis for the design, selection, and evaluation of pure electric buses.

Environmental Requirements for Computer Assisted Instruction

1987 ◽  
Vol 31 (2) ◽  
pp. 228-232
Author(s):  
Daniel Christinaz ◽  
Frederick G. Knirk
Keyword(s):  
Classroom Environment ◽  
Behavioral Science ◽  
Computer Assisted ◽  
Science Data ◽  
Electronic Classroom ◽  
Physical Environments ◽  
Environmental Requirements ◽  
Design Selection ◽  
Assisted Instruction ◽  
Selection Of

Physical learning environments for computers require special consideration and design. The better this “electronic classroom” environment is designed, the greater are the chances that the desired learning will occur. The design/selection of acoustical, lighting, HVAC factors and space/furniture affect each individual. Physical environments effects student learning, physiology and affect. Behavioral science data regarding color, form, acoustics, light intensity, light contrast, and temperature is useful when designing spaces for learning via computer. In this paper we will examine many of the environmental factors which facilitate or inhibit student progress.

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