Adaptive place-pitch ranking procedure for optimizing performance of a multi-channel neural stimulator

2009 ◽  
Vol 126 (1) ◽  
pp. 521
Author(s):  
Philip A. Segel ◽  
Tracey L. Kruger
Keyword(s):  
Ranking Procedure ◽  
Place Pitch ◽  
Neural Stimulator

A Novel Ranking Procedure Based on Risk Percentile Index and Concentration (rrpic) of Chemicals

2012 ◽  
Vol 610-613 ◽  
pp. 762-765
Author(s):  
Fu Chen ◽  
Shu Shen Liu
Keyword(s):  
Partial Order ◽  
Linear Order ◽  
Taihu Lake ◽  
Chemical Properties ◽  
Ecological Impacts ◽  
Order Model ◽  
Ranking Procedure ◽  
Relative Risks ◽  
Physico Chemical ◽  
Management Plans

Assessments of the relative risks posed by chemicals are needed to assist in the development of management plans that minimize ecological impacts. A procedure scoring and screening chemicals entitled ranking procedure based on risk percentile index and concentration (rrpic) was developed based on inherent physico-chemical properties and toxicity as well as detection concentration. The properties and toxicity were transformed into risk percentile indices (rpi) and the rpi was then used to calculate risk score (rs) by multiplying the detection concentration. Using Hasse diagram, the chemicals having different rss were classified into several rank levels. The averaged rank (rav) of each chemical was calculated by using Local Partial Order Model (LPOM) and the risks of chemicals were arranged in a linear order. The rrpic was employed to scoring and screening 31 chemicals detected in Taihu Lake of China.

Ultrasonic Power/Data Telemetry and Neural Stimulator With OOK-PM Signaling

2013 ◽  
Vol 60 (12) ◽  
pp. 827-831 ◽  
Author(s):  
Ye-Sing Luo ◽  
Jiun-Ru Wang ◽  
Wei-Jen Huang ◽  
Je-Yu Tsai ◽  
Yi-Fang Liao ◽  
...  
Keyword(s):  
Ultrasonic Power ◽  
Neural Stimulator

A Metric for the Shared Interpretation of Commander's Intent

2007 ◽  
Vol 51 (3) ◽  
pp. 122-126 ◽  
Author(s):  
Jennifer L. Winner ◽  
Jared T. Freeman ◽  
Nancy J. Cooke ◽  
Gerald F. Goodwin
Keyword(s):  
Law Enforcement ◽  
Rank Order ◽  
Ranking Procedure ◽  
Course Of Action ◽  
Military Command

An enduring challenge in management and in military command is ensuring that subordinates select actions as their leader would, particularly when circumstances change unexpectedly. An experiment was conducted to test a measure of shared interpretation of commander's intent and its effects on the adaptability of subordinates. Performance was measured in the context of a simulated law enforcement task. A course of action ranking procedure was used as a measure of interpretation of intent with rank order correlation reflecting shared interpretation. The study validates a measure of shared interpretation of commander's intent and supports the hypothesis that making values explicit enhances shared interpretation and adaptability. The findings indicate that when missions change in unexpected ways, a commander's intent statement that presents the values by which actions are to be prioritized produces greater agreement between commander and subordinates on action preferences than do intent statements that prescribe command preference for specific actions.

scholarly journals A New Approach for Resolving Conflicts in Actionable Behavioral Rules

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Peng Su ◽  
Dan Zhu ◽  
Daniel Zeng
Keyword(s):  
Prediction Accuracy ◽  
New Method ◽  
Best Interest ◽  
New Approach ◽  
Actionable Knowledge ◽  
Empirical Results ◽  
Ranking Procedure ◽  
Valid Method ◽  
Weight Parameter ◽  
Behavioral Rules

Knowledge is considered actionable if users can take direct actions based on such knowledge to their advantage. Among the most important and distinctive actionable knowledge are actionable behavioral rules that can directly and explicitly suggest specific actions to take to influence (restrain or encourage) the behavior in the users’ best interest. However, in mining such rules, it often occurs that different rules may suggest the same actions with different expected utilities, which we call conflicting rules. To resolve the conflicts, a previous valid method was proposed. However, inconsistency of the measure for rule evaluating may hinder its performance. To overcome this problem, we develop a new method that utilizes rule ranking procedure as the basis for selecting the rule with the highest utility prediction accuracy. More specifically, we propose an integrative measure, which combines the measures of the support and antecedent length, to evaluate the utility prediction accuracies of conflicting rules. We also introduce a tunable weight parameter to allow the flexibility of integration. We conduct several experiments to test our proposed approach and evaluate the sensitivity of the weight parameter. Empirical results indicate that our approach outperforms those from previous research.

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