Quality assessment technique for ubiquitous software and middleware

The new paradigm of computing or information systems is ubiquitous computing systems. The technology-oriented issues of ubiquitous computing systems have made researchers pay much attention to the feasibility study of the technologies rather than building quality assurance indices or guidelines. In this context, measuring quality is the key to developing high-quality ubiquitous computing products. For this reason, various quality models have been defined, adopted and enhanced over the years, for example, the need for one recognised standard quality model (ISO/IEC 9126) is the result of a consensus for a software quality model on three levels: characteristics, sub-characteristics, and metrics. However, it is very much unlikely that this scheme will be directly applicable to ubiquitous computing environments which are considerably different to conventional software, trailing a big concern which is being given to reformulate existing methods, and especially to elaborate new assessment techniques for ubiquitous computing environments. This paper selects appropriate quality characteristics for the ubiquitous computing environment, which can be used as the quality target for both ubiquitous computing product evaluation processes ad development processes. Further, each of the quality characteristics has been expanded with evaluation questions and metrics, in some cases with measures. In addition, this quality model has been applied to the industrial setting of the ubiquitous computing environment. These have revealed that while the approach was sound, there are some parts to be more developed in the future

The role of Criticism in the Dynamics of Performance Evaluation Systems

Drawing on the concept of « trial », developed by French sociologists, this article analyzes the dynamics of employees’ performance evaluation systems, particularly those involving accounting performance measures. A case study is presented as an illustration of our proposal to consider these systems as one of the major trials in the business world, that is, social arrangements organizing the testing of people and resulting in ordering them, and further in consistent social goods allocation. This analysis emphasizes the role of criticism in the dynamics and evolution of performance evaluation systems and enables us to revisit concepts like controllability or objectivity which have been presented for decades as cornerstones of performance evaluation systems either in management control or in human resource management fields.Criticism; performance evaluation systems; fairness; objectivity; controllability; legitimacy; bonus

Intelligent control of mobile robot with redundant manipulator & stereovision: quantum / soft computing toolkit

The task of an intelligent control system design applying soft and quantum computational intelligence technologies discussed. An example of a control object as a mobile robot with redundant robotic manipulator and stereovision introduced. Design of robust knowledge bases is performed using a developed computational intelligence – quantum / soft computing toolkit (QC/SCOptKBTM). The knowledge base self-organization process of fuzzy homogeneous regulators through the application of end-to-end IT of quantum computing described. The coordination control between the mobile robot and redundant manipulator with stereovision based on soft computing described. The general design methodology of a generalizing control unit based on the physical laws of quantum computing (quantum information-thermodynamic trade-off of control quality distribution and knowledge base self-organization goal) is considered. The modernization of the pattern recognition system based on stereo vision technology presented. The effectiveness of the proposed methodology is demonstrated in comparison with the structures of control systems based on soft computing for unforeseen control situations with sensor system

Screening For Trauma In the Foster Care Community

Children within the foster care community experience health disparities on a variety of levels, from physical and mental health conditions, developmental delay, and impaired social interactions. Many of these conditions can stem from the experience of trauma or adverse childhood events that color each component of their lives. For healthcare providers to be successful in the assessment and treatment of this community, an understanding of traumatic events and the delivery of trauma-informed care is essential. The complex needs of this community are such that the provision of healthcare must be specialized, multidimensional, and organized. The purpose of this project is to assist in the development of a clinic that specializes in the delivery of primary care to the foster care community, with a focus on screening and assessment for the experience of trauma. Children were screened for child trauma as well as for resiliency behaviors, and a tool for chart review was used to examine current health status and services. With the assistance of stakeholders, meticulous follow up on screening results, referrals and recommendations made ensured that no opportunities were missed to provide the highest quality care for this underserved community

Toward Sustainability:Using Big Data to Explore Decisive Supply Chain Risk Factors Under Uncertainty

Rapid market changes aimed at sustainability have led to supply chain risks and uncertainties in the Taiwanese light-emitting diode industry. These risks and uncertainties can be captured by social media, quantitative and qualitative data (referred to herein as big data), but the industry has been unable to manage this information boom to respond to customer needs. These various types of data have their own characteristics that affect decision making about developing firm capabilities. This study aggregates the various data to undertake an extensive investigation of supply chain risks and uncertainties. Specifically, this study proposes using the fuzzy and grey Delphi methods to identify a set of reliable attributes and, based on these attributes, transforming big data to a manageable scale to consider their impacts. Subsequently, both the fuzzy and grey Decision Making Trial and Evaluation Laboratories applied to determine the causal relationships for supply chain risks and uncertainties. The results reveal that capacity and operations have greater influence than other supply chain attributes and that risks stemming from triggering events are difficult to diagnose and control. The implications, conclusions and findings are addressed

From Government to Regulatory Governance: Privatization and the Residual Role of the State

This paper reviews the state of thinking on the governance role of public ownership and control. We argue that the transfer of operational control over productive assets to the private sector represents the most desirable governance, due to the inherent difficulty for citizens to constrain political abuse relative to the ability of governments to regulate private activity. However in weak institutional environments the process needs to be structured so as to avoid capture of the regulatory process. The speed of transfer should be timed on the progress in developing a strong regulatory governance system, to which certain residual rights of intervention must be vested. After all, what are “institutions” if not governance mechanisms with some degree of autonomy from both political and private interests? The gradual creation of institutions partially autonomous from political power must become central to the development of an optimal mode of regulatory governance. We advance some suggestions about creating accountability in regulatory governance, in particular creating an internal control system based on a rotating board representative of users, producers and civil society, to be elected by a process involving frequent reporting and disclosure.Regulatory Governance, Privatization

Effective contracting of uncertain performance outcomes : Allocating responsibility for performance outcomes to align goals across supply chain actors

This dissertation contributes to practice and literature by studying how organizations can effectively contract and sell uncertain performance outcomes. In Chapter 2, I study whether supplier shirking in response to outcome uncertainty can be mitigated by combining performance and behavior specification and evaluation. Based on the findings of this study, I advise purchasing managers to invest in the evaluation of perform

A proposal for a global task planning architecture using the RoboEarth cloud based framework

As robotic systems become more and more capable of assisting in human domains, methods are sought to compose robot executable plans from abstract human instructions. To cope with the semantically rich and highly expressive nature of human instructions, Hierarchical Task Network planning is often being employed along with domain knowledge to solve planning problems in a pragmatic way. Commonly, the domain knowledge is specific to the planning problem at hand, impeding re-use. Therefore this paper conceptualizes a global planning architecture, based on the worldwide accessible RoboEarth cloud framework. This architecture allows environmental state inference and plan monitoring on a global level. To enable plan re-use for future requests, the RoboEarth action language has been adapted to allow semantic matching of robot capabilities with previously composed plans