Heavy Duty Vehicle Fuel Consumption Modelling Using Artificial Neural Networks.

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.In this paper an artificial neural network (ANN) approach to modelling fuel consumption of heavy duty vehicles is presented. The proposed method uses easy accessible data collected via CAN bus of the truck. As a benchmark a conventional method, which is based on polynomial regression model, is used. The fuel consumption is measured in two different tests, performed by using a unique test bench to apply the load to the engine. Firstly, a transient state test was performed, in order to evaluate the polynomial regression and 25 ANN models with different parameters. Based on the results, the best ANN model was chosen. Then, validation test was conducted using real duty cycle loads for model comparison. The neural network model outperformed the conventional method and represents fuel consumption of the engine operating in transient states significantly better. The presented method can be applied in order to reduce fuel consumption in utility vehicles delivering accurate fuel economy model of truck engines, in particular in low engine speed and torque range

Robotic technology evolution and transfer

A report concerning technology transfer in the area of robotics is presented in vugraph form. The following topics are discussed: definition of technology innovation and tech-transfer; concepts relevant for understanding tech-transfer; models advanced to portray tech-transfer process; factors identified as promoting tech-transfer; factors identified as impeding tech-transfer; what important roles do individuals fulfill in tech-transfer; federal infrastructure for promoting tech-transfer; federal infrastructure for promoting tech-transfer; robotic technology evolution; robotic technology transferred; and recommendations for successful robotics tech-transfer

THE EFFECTIVENESS OF A COMPUTER AND INTERNET-BASED SYSTEM IN A SHORT-TERM BEHAVIORAL WEIGHT LOSS INTERVENTION

THE EFFECTIVENESS OF A COMPUTER AND INTERNET-BASED SYSTEM IN A SHORT-TERM BEHAVIORAL WEIGHT LOSS INTERVENTIONKristen M. Polzien, PhD.University of Pittsburgh, 2005Computer and Internet-assisted weight loss interventions offer alternative delivery channels that might increase program appeal and potentially increase weight loss success. To date research focused on these innovative techniques is limited. PURPOSE: To examine the effectiveness adding a technology-based intervention component to an in-person, 12-week clinically-based behavioral weight loss intervention. METHODS: Fifty-seven subjects (body mass index = 33.1+/-2.8 kg/m2; age = 41.3+/-8.7 yrs) participated in a 12-week intervention with random assignment to Standard Behavioral Program (SBWP), Intermittent Technology-Based Program (INT-TECH), or Continuous Technology-Based Program (CON-TECH). SBWP received an individual weight loss session at weeks 1-4, 6, 8, and 10, prescribed a diet of 1200-1500 kcal/d, and exercise progressing from 20-40 min/d on 5 days/wk. INT-TECH and CON-TECH received the components of SBWP, however, these groups also used a SenseWear Pro Armband (BodyMedia, Inc.) to monitor energy expenditure and a web-based program to monitor eating behaviors. INT-TECH used these features during weeks 1, 5, and 9, with CON-TECH using these features throughout the 12-week intervention. Outcomes included body weight, percent body fat, and cardiorespiratory fitness. RESULTS: Fifty subjects completed the investigation (88%). Intent-to-treat analysis revealed weight loss of 4.1+/-2.8 kg (4.6 +/-2.8%), 3.4+/-3.4 kg (3.8+/-3.8%), and 6.2+/-4.0 kg (7.1+/-4.6%), for the SBWP, INT-TECH, and CON-TECH groups, respectively (CON-TECH greater than INT-TECH, p less than/equal to 0.05). Percent body fat was significantly decreased in CON-TECH (-4.1+/-2.9%) when compared to both SBWP (-1.6+/-1.5%) and INT-TECH (-1.6+/-1.7%) (p less than/equal to 0.05). Cardiorespiratory fitness significantly increased in all groups by 14%, 3%, and 5% in SBWP, INT-TECH, and CON-TECH, respectively; p less than 0.01), with no significant group differences. CONCLUSIONS: Results indicate that a technology-based program that is used continuous over a 12-week intervention and is complimentary to a clinically-based in-person intervention improves weight loss by approximately 3% compared to a SBWP that does not use these technology features or by approximately 3.7% compare to INT-TECH uses the technology features only intermittently during the intervention. Considering these short-term results, future studies should examine the impact of adding these technology features to a SBWP on long-term weight loss outcomes, and for whom technology-based programs are most effective

Index to NASA Tech Briefs, 1975

This index contains abstracts and four indexes--subject, personal author, originating Center, and Tech Brief number--for 1975 Tech Briefs

Profile of female students of engineering universities in Mexico and Spain

Gender studies in higher education have emerged in parallel to reflections and rising feminist movement. The main objectives of academic feminism are related to women's visibility improvement as well as soft skills developers’ roles. But a gap in TECH studies can be detected. Women studies in higher education are mostly related to life and social sciences, behavioral, journalism and information, business and management and law, in contrast to engineering, architecture, manufacturing, construction, ICT or any kind of TECH studies. Thus, the main objective of this work is related to survey design in order to develop a qualitative research to inquire about TECH higher education, female population profile, both at UdG-CUALTOS (Guadalajara, Mexico) and UPC (Barcelona, Spain).This profile can provide some influent identity elements, related to perceptions and expectations of women-TECH, deemed appropriate from their professions as engineers. From these results, it should be possible to draw gender alternatives for future generations in TECH environmentsPostprint (published version

Finding Business "Idols": A New Model to Accelerate Start-Ups

Explores a novel approach to finding high-tech entrepreneurial enterprises that is transforming how high-tech entrepreneurs are identified, their businesses launched, and the growth of their operations accelerated