Partitioning System Architecture to Optimize Reliability While Limiting the Impact of Cost, Weight and Schedule

2000 ◽  
Author(s):  
James M. Wasiloff ◽  
Robert J. Regan
Keyword(s):  
System Architecture ◽  
System Reliability ◽  
Automatic Transmission ◽  
Control Design ◽  
Advanced Technology ◽  
Generic Model ◽  
Cost Weight ◽  
Shift Control ◽  
Physical Volume ◽  
The Impact

Abstract A method using discrete design optimization to maximize product reliability and customer satisfaction through uniquely partitioning system architecture is developed and presented in this paper. Using integer programming, constraints such as cost, weight and physical volume are incorporated into a mathematical model to improve system reliability through the introduction of system architectural redundancies. An advanced automatic transmission electronic shift control system is examined as a potential application for the aforementioned methodology. A significant improvement in system reliability is achieved through the application of this optimization tool in the shift control design problem. A generic model is proposed for architectural optimization of emerging advanced technology systems with requisite critical reliability requirements.

scholarly journals Environmental Management, Green Innovation, and Social–Open Innovation

2021 ◽  
Vol 7 (1) ◽  
pp. 89
Author(s):  
Pham Thu Huong ◽  
Jacob Cherian ◽  
Nguyen Thi Hien ◽  
Muhammad Safdar Sial ◽  
Sarminah Samad ◽  
...  
Keyword(s):  
Environmental Management ◽  
Stock Exchange ◽  
Advanced Technology ◽  
Green Innovation ◽  
Social Image ◽  
Whole Process ◽  
Corporate Environmental Management ◽  
The Impact ◽  
The Relationship

The present study aims to determine the impact of green innovation (GI) on the overall performance of an organization while keeping the variable of environmental management (EM) as a moderator. We used a dataset consisting of four data years, from 2014 to 2017, of A-share companies listed on the Shanghai Stock Exchange (SSE). The concept of green innovation refers to the use of advancements in technology that enable savings in energy, along with the recycling of waste material. When advanced technology is utilized in the production process, the products are referred to as green products and the whole process of adopting such technologies and product design is referred to as “Corporate Environmental Management”. Such innovations improve the overall financial performance of companies as it enables them to improve their social image by reducing their carbon footprint and ensures their long-term sustainability. The main issue is the limited focus and attention given to the topic, from the perspective of companies. This research focuses on the impact of green innovation and the importance of environmental management for the sustainability of companies. Our findings suggest that the relationship between green innovation and the performance of the company is positive and verifies the existence of moderating effects of environmental management on the relationship between green innovation and firm performance. Implications are given to academia and practitioners.

Design and Implementation of College OA System Based on UML and J2EE

2013 ◽  
Vol 475-476 ◽  
pp. 1195-1200
Author(s):  
Xiao Feng Wu ◽  
Sheng Tao Luo
Keyword(s):  
Software Development ◽  
System Design ◽  
System Architecture ◽  
Development Process ◽  
Design Concept ◽  
Advanced Technology ◽  
Software Development Process ◽  
Design And Implementation

This paper mainly describes the process of design, modeling and implementation of college OA system. System design is based on the MVC design concept and uses the most advanced technology of UML and J2EE. And system architecture is achieved by STRUTS. Our implementation shows that this method simplifies the software development process and improves the flexibility, scalability and reusability of software.

Information and mechanical models of intelligence

2005 ◽  
Vol 13 (3) ◽  
pp. 565-582 ◽  
Author(s):  
Maria Eunice Quilici Gonzalez
Keyword(s):  
Cognitive Science ◽  
Computer Simulations ◽  
Advanced Technology ◽  
Main Topic ◽  
Social Environments ◽  
Meaningful Information ◽  
Intelligent Behavior ◽  
Mechanical Models ◽  
The Mind ◽  
The Impact

The impact of new advanced technology on issues that concern meaningful information and its relation to studies of intelligence constitutes the main topic of the present paper. The advantages, disadvantages and implications of the synthetic methodology developed by cognitive scientists, according to which mechanical models of the mind, such as computer simulations or self-organizing robots, may provide good explanatory tools to investigate cognition, are discussed. A difficulty with this methodology is pointed out, namely the use of meaningless information to explain intelligent behavior that incorporates meaningful information. In this context, it is inquired what are the contributions of cognitive science to contemporary studies of intelligent behavior and how technology may play a role in the analysis of the relationships established by organisms in their natural and social environments.

Wzbogacona rzeczywistość a nierówności społeczne

2021 ◽  
Vol 66 (2) ◽  
pp. 80-93
Author(s):  
Piotr Nieradka ◽  
Keyword(s):  
Social Inequality ◽  
Digital Divide ◽  
Social Inequalities ◽  
Individual Characteristics ◽  
Advanced Technology ◽  
Original Research ◽  
Augmented Reality Technology ◽  
Digital Gap ◽  
The One ◽  
The Impact

This paper focuses on the technology of extended reality, whereby the aim is to draw attention to selected issues related to technology and solutions in the extended reality area in the context of social inequalities. The first part of the article discusses the essence of extended reality technology, paying attention to its place in the modern economy, along with a description of such solutions. The remainder of the study focuses on the issue of social inequality, with particular emphasis on the impact of extended reality on the problem of the digital gap and digital divide. The article presents the results of original research undertaken on a group of 88 respondents with both CAWI and equipment supporting augmented reality technology, of which 39.36% declared testing with this type of equipment in the past. The article also presents the results of original research with the use of XR equipment. XR-related solutions are currently still perceived as luxury goods, despite both the increasing availability for users and undoubtedly unique advantages. These include realism of generated experiences and the phenomenon of immersion in the synthetic world. The analysis of the role of such solutions in the context of social inequality provides a conclusion about their dichotomous nature. On the one hand, by popularizing the XR technology, the possibility of overcoming barriers and inequalities resulting from individual characteristics or social position is created, which leads to the improvement in the life situations of some people who have been struggling with exclusion so far. On the other hand, it provides the conclusion that such advanced technology entering everyday life has the potential to create another digital divide, which in the long term will result in increasing digital disproportions and exclusion.

Impact of personality factors on purchase and adoption of consumer durables with advanced technology

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ullal Manohar Bhat ◽  
Dhananjay Bapat ◽  
Amit Mookerjee
Keyword(s):  
Personality Traits ◽  
Developing Economies ◽  
Advanced Technology ◽  
Personality Factors ◽  
Empirical Examination ◽  
Consumer Durables ◽  
High Involvement ◽  
Content Type ◽  
Buying Behaviour ◽  
The Impact

Purpose The purpose of this paper is to identify critical personality traits affecting and influencing buying behaviour in high involvement consumer durables. It also intends to guide practitioners in selecting appropriate marketing frameworks, consumer segments and processes considering the characteristics of consumer behaviour in developing economies. Design/methodology/approach It systematically reviews the literature on consumer personality traits, its measurement and related consumer buying behaviour. It uses data collected from potential car buyers at various car showrooms across the Indian subcontinent. The authors have worked with the online survey firm Qualtrics, to gather a data set of 328 car purchase intenders’ responses to their validated survey. The model was tested using the SmartPLS. Findings The personality traits of imagination, agreeableness and social factors positively influenced attitude towards automobiles with advanced technology. Further, in line with the theory of planned behaviour, it is seen that a positive attitude towards advanced technology and design for automobiles makes a person more willing to pay for the same. Research limitations/implications The study is confined to consumers intending to purchase a car, who are Indian residents. Originality/value It adds to the comparatively lesser body of study on the impact of personality traits on intentions and attitudes in high involvement consumer durable purchases. Further, it serves as an empirical examination of the adoption of new technologies, in the context of high involvement consumer durables. For practicing managers, it provides a reference for deciding future development directions and approaches related to the effective market launch strategies and commercialization of advanced technology automobiles in India.

scholarly journals Smooth Gear Shift Control System of Automatic Transmission Using Estimated Output Shaft Torque.

1995 ◽  
Vol 61 (591) ◽  
pp. 4334-4338
Author(s):  
Toshimichi Minowa ◽  
Hiroshi Kimura ◽  
Junichi Ishii ◽  
Masahiko Ibamoto
Keyword(s):  
Control System ◽  
Automatic Transmission ◽  
Output Shaft ◽  
Gear Shift ◽  
Shift Control ◽  
Shaft Torque

scholarly journals Influence of the Lubrication Oil Temperature on the Disengaging Dynamic Characteristics of a Cu-Based Wet Multi-Disc Clutch

2021 ◽  
Vol 11 (23) ◽  
pp. 11299
Author(s):  
Liangjie Zheng ◽  
Biao Ma ◽  
Man Chen ◽  
Liang Yu ◽  
Qian Wang
Keyword(s):  
Dynamic Characteristics ◽  
Hydrodynamic Lubrication ◽  
Friction Pair ◽  
Automatic Transmission ◽  
Friction Torque ◽  
Asperity Contact ◽  
Uniformity Coefficient ◽  
Lubrication Oil ◽  
The Impact ◽  
First Time

Clutch disengaging dynamic characteristics, including the disengaging duration and the variations of friction pair gaps and friction torque, are crucial to the shifting control of an automatic transmission. In the present paper, the influence of lubrication oil (ATF) temperature on disengaging dynamic characteristics is investigated through a comprehensive numerical model for the clutch disengaging process, which considers the hydrodynamic lubrication, the asperity contact, the heat transfer, the spline resistance, and the impact between the piston and clutch hub. Moreover, the non-uniformity coefficient (NUC) is proposed to characterize the disengaging uniformity of friction pairs. As the ATF temperature increases from 60 °C to 140 °C, the clutch disengaging duration shortens remarkably (shortened by 55.1%); besides, the NUC sees a decreasing trend before a slight increase. When the ATF temperature is 80 °C, the distribution of friction pair gaps is most uniform. During the disengaging process, the increase of ATF temperature not only accelerates the change of the lubrication status between friction pairs but also contributes to the decrease of contact torque and hydrodynamic torque. This research demonstrates for the first time, evidence for clutch disengaging dynamic characteristics with the consideration of ATF temperature.

scholarly journals THE MATRIX PROCEDURES FOR CALCULATION OF IMPORTANCE MEASURES

2019 ◽  
pp. 71-78
Author(s):  
Elena Zaitseva ◽  
Peter Sedlacek ◽  
Andrej Forgac
Keyword(s):  
Structure Function ◽  
System Reliability ◽  
Boolean Logic ◽  
Mathematical Representation ◽  
Complex Concept ◽  
System Components ◽  
The Matrix ◽  
Importance Analysis ◽  
The Impact ◽  
Fixed System

System reliability/availability is a complex concept that is evaluated based on numerous indices and measures. There are different methods for the calculation of these indices and measures in reliability analysis. Some of the most used indices are important measures. These measures allow us to evaluate the influence of fixed system components or set of components to the system reliability/availability. Importance measures are used today to allow for various aspects of the impact of system elements on its failure or operability. Analysis of element importance is used in the system design, diagnosis, and optimization. In this paper new algorithms for the calculation, some of the important measures are developed based on the matrix procedures. This paper's goal is the development of a new algorithm to calculate importance measures of the system based on the matrix procedures that can be transformed in the parallel procedures/algorithms. These algorithms are developed based on the application of Logical Differential Calculus of Boolean logic for the important analysis of the system. The application of parallel algorithms in importance analysis allows the evaluation of the system of large dimensions. Importance specific of the proposed matrix procedures for calculation of importance measures is the application of structure-function for the mathematical representation of the investigated system. This function defined the correlation of the system components states and system reliability/ availability. The structure-function, in this case, is defined as a truth vector to be used in the matrix transformation. The truth vector of a Boolean function is a column of the truth table of function if the values of the variables are lexicographically ordered. Therefore, the structure-function of any system can be represented by the truth vector of 2n elements un-ambiguously.

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