A framework for group decision-making: Including cognitive and affective aspects in a MCDA method for alternatives rejection

© Springer International Publishing AG, part of Springer Nature 2019. With the evolution of the organizations and technology, Group Decision Support Systems have changed to support decision-makers that cannot be together at the same place and time to make a decision. However, these systems must now be able to support the interaction between decision-makers and provide all the relevant information at the most adequate times. Failing to do so may compromise the success and the acceptance of the system. In this work it is proposed a framework for group decision using a Multiple Criteria Decision Analysis method capable of identify inconsistent assessments done by the decision-maker and identify alternatives that should be rejected by the group of decision-makers. The proposed framework allows to present more relevant information throughout the decision-making process and this way guide decision-makers in the achievement of more consensual and satisfactory decisions.INCT-EN - Instituto Nacional de Ciência e Tecnologia para Excitotoxicidade e Neuroproteção(ANI|P2020 21958

Endurance performance is influenced by perceptions of pain and temperature: Theory, applications and safety considerations.

Models of endurance performance now recognise input from the brain, including an athlete’s ability to cope with various non-pleasurable perceptions during exercise, such as pain and temperature. Exercise training can reduce perceptions of both pain and temperature over time, partly explaining why athletes generally have a higher pain tolerance, despite a similar pain threshold, compared with active controls. Several strategies with varying efficacy may ameliorate the perceptions of pain (e.g. acetaminophen, transcranial direct current stimulation and transcutaneous electrical stimulation) and temperature (e.g. menthol beverages, topical menthol products and other cooling strategies, especially those targeting the head) during exercise to improve athletic performance. This review describes both the theory and practical applications of these interventions in the endurance sport setting, as well as the potentially harmful health consequences of their use

Dynamic Current Modelling at the Instruction Level

International Symposium on Low Power Electronics and Design (ISLPED), Tegernsee, Germany, 4 - 6 October, 2006Estimation of processor current consumption is important for the design of low power systems. This paper proposes a novel method for estimating the dynamic current consumption of a processor. The method models dynamic current as the output of a linear system excited by a signal comprised of the total current due to each instruction. System identification is performed by cross-correlation of a pseudo-random stimulus with the measured current. The method was applied to the Texas Instruments TMS320VC5510 DSP and was found to provide an average correlation of 93% between estimated and measured dynamic current across a range of benchmarks

Overview of Software Level Power Consumption Models and Power Saving Techniques for Embedded DSP Processors

Conference on Design of Circuits and Integrated Systems (DCIS), Lisbon, Portugal, 23 - 25 November, 2005Unlike DSP compilation for high performance, research for low power optimisation has received little attention, although power dissipation is a critical issue for mobile devices. This paper presents an overview of power consumption models and power saving techniques for embedded DSP processors applications and evaluates their application to the Texas Instruments TMS320VC5510 Digital Signal Processor. Software level power consumption models introduced in the literatureare presented, along with their advantages and disadvantages. Several power saving techniques are presented, discussing their relevance for the VC5510 processor architecture. The significance of various instruction components with respect to consumption are considered in detail.Enterprise Irelan

Dynamic Current Modelling at the Instruction Level

International Symposium on Low Power Electronics and Design (ISLPED), Tegernsee, Germany, 4 - 6 October, 2006Estimation of processor current consumption is important for the design of low power systems. This paper proposes a novel method for estimating the dynamic current consumption of a processor. The method models dynamic current as the output of a linear system excited by a signal comprised of the total current due to each instruction. System identification is performed by cross-correlation of a pseudo-random stimulus with the measured current. The method was applied to the Texas Instruments TMS320VC5510 DSP and was found to provide an average correlation of 93% between estimated and measured dynamic current across a range of benchmarks

Effect of Compiler Optimizations on DSP Processor Power and Energy Consumption

XXII Conference on Design of Circuits and Integrated Systems (DCIS), Seville, Spain, 21 - 23 November, 2007This paper examines the effect of compiler optimizations on the energy usage and power consumption of DSP processor, specifically to the Texas Instruments TMS320VC5510. The effects of different levels of general and specific optimization on the energy and power consumption are measured for this processor. Given the special characteristics of DSP programs, the benchmark routines were selected from DSPStone, and some typical DSP applications. Finally, Texas Instruments library routines are compared with the compiled versions. The paper provides an analysis of the results together with recommendations for improving performance. The binaries used in this study were generated using the Texas Instrument C/C++ Compiler, which allows control over the whole set of optimizations.Enterprise Irelan