500 research outputs found
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Building and Operating a System to Promote Regional Competitive Industries Through Cross-Sectoral Collaborations: Findings From the Experience in Germany
No full textInitiated by regional governments, economic associations, etc., many regions are trying to promote competitive industries through cross-sectoral collaboration. The purpose of this study is to consider management approaches to build and operate a regional system for facilitating a self-organizing process of cross-sectoral collaborations. First, related literatures are reviewed. Then, the concept of constructing regional advantage is introduced. Then, a platform policy through building a Regional Innovation System based on the Triple-Helix model is examined. In the case study, the experiences of three states in Germany are examined by focusing on the medical technology industry. In these states, to promote regional industries, regional systems to facilitate cross-sectoral collaborations are structured. The main focus is how the systems were built and operated through the involvement of regional stakeholders. Last, the results of the case study are comparatively analyzed and the implications for the management are discussed
Collaboration of Solution Architects and Project Managers
No full textIf IT projects are to be successful, they must meet business requirements, and they must be efficiently managed. IT projects need methodological skills to manage resources as well as technical capabilities for architectural planning and solution design. Project managers and solution architects represent two highly-qualified leadership roles in IT projects, both of which analyze requirements and both of which are responsible for supplying IT solutions. In predictive IT infrastructure projects, solution architects' technology skills complement project managers' organizational competencies. The combination of those skills improves requirements elicitation that is the key for IT project achievement. Project managers and solution architects closely collect and evaluate requirements and specify the scope in the planning phase. The relationship between these roles is examined by the IT management literature and established practitioner frameworks. Finally, suggestions for collaboration are derived and presented in the IT solution life cycle model
Theoretical and Practical Concerns Regarding Digital Texts in Literacy Instruction
No full textThe role of literacy and learning is easily incorporated into many areas of using technology in the classroom. The purpose of this book chapter is to share results from a research study that provides a framework for teachers to develop their knowledge about open educational resources (OERs) as digital texts for developing students' disciplinary and literacy knowledge. Specifically addressed is how participants expressed their knowledge and understanding about using OERs to support their students' online reading comprehension skills (i.e., questioning, locating, evaluating, synthesizing, and communicating), along with recommendations for preparing students to become 21st century literate
Steganalysis of AMR Based on Statistical Features of Pitch Delay
No full textThe calibrated matrix of the second-order difference of the pitch delay (C-MSDPD) feature has been proven to be effective in detecting steganography based on pitch delay. In this article, a new steganalysis scheme based on multiple statistical features of pitch delay is present. Analyzing the principle of the adaptive multi-rate (AMR) codec, the pitch delay values in the same frame is divided into groups, in each of which, a pitch delay has a closer correlation with the other ones. To depict the characteristic of the pitch delay, two new types of statistical features are adopted in this article. The new features and C-MSDPD feature are together employed to train a classifier based on support vector machine (SVM). The experimental result shows that, the proposed scheme outperforms the existing one at different embedding bit rates and with different speech lengths
Trauma Management Therapy for First Responders
No full textMental health professionals are only recently beginning to understand the risks for stress-related disorders experienced by first responders. For example, it is clear that first responders are at increased risk for Post-Traumatic Stress Disorder. Unfortunately, clinicians currently have a limited repertoire with which to treat these disorders. Treatments for PTSD have been developed for use with military patients, for the most part. It is not clear that these treatments are appropriate, and effective, for first responders. In this chapter, the authors describe a pilot study designed to evaluate whether one specific treatment approach creates similar clinical outcomes for first responders as have been observed for a military sample. The results indicate that clinical outcomes for first responders were nearly identical as those obtained with military personnel. The results are discussed in terms of future directions for research in this area
Aligning 4C Strategy with Social Network Applications for CRM Performance
No full textThis article describes how in recent years, enterprises have increasingly adopted social technologies to support customer relationship management (CRM) practices. To increase CRM performance, enterprises have had to develop appropriate social CRM strategies in emerging social network applications. This article investigates the alignment between social network applications and the “4C strategy” as a social CRM strategy in organizations. It intends to understand how alignment influences CRM performance. A total of 225 Taiwanese companies, which have adopted Facebook to interact with customers, were surveyed. According to the results, alignment between the 4C strategy and social network applications has a positive and significant impact on CRM performance. The results also suggest that organizations require a high-level integration of social network applications with the 4C strategy to achieve high CRM performance
Observations of Chaotic Behaviour in Nonlinear Inventory Models
No full textThis article describes the use of simulation to investigate incipient chaotic behaviour in inventory models. Model structures investigated were either capacity limited or of variable delay time, implemented in discrete and continuous transform algebras. Results indicate the absence of chaos for a continuous time model but gave limited evidence for chaos in both unrestricted discrete models and those with a positive orders only limit. The responses where interaction with the capacity limit occurred did not confirm chaotic behaviour at odds with published results. Using the Liapunov exponent as a measure of chaotic behaviour, the results indicated, where the delay varies in proportion to order rate, a larger fixed delay reduced the Liapunov exponent as did increasing the dependence of delay on order rate. The effect of the model structures showed that the IOBPCS model, produced the largest Liapunov exponent. Reducing the discrete model update time reduced the Liapunov exponent
Trust in Cognitive Assistants: A Theoretical Framework
No full textThe main purpose of this research is to develop a framework of trust determinants in the interactions between people and cognitive assistants (CAs). CAs are defined as new decision tools that can provide people with high quality recommendations and help them make data-driven decisions to understand the environment around them. Trust is defined as the belief of people that CAs will help them reach a desired decision. An extensive review on trust in psychology, sociology, economics and policy making, organizational science, automation, and robotics was conducted to determine the factors that influence people's trust in CAs. On the basis of this review, a framework of trust determinants in people's interactions with CAs was developed where reliability, attractiveness, and emotional attachments positively influence people's trust in CAs. The framework also shows that relative advantages of innovativeness positively affect the intention to use CAs. Future research directions are suggested for developing and validating more concrete scales in measuring trust determinants in the interactions between people and CAs
Interval Type-2 Fuzzy Application for Diet Journaling
No full textIn this article, an improved system is constructed using interval type-2 fuzzy sets (IT2FS) and a fuzzy logic controller (FLC) with non-singleton inputs. The primary purpose is to better model nutritional input uncertainty which is propagated through the Type-2 FLC. To this end, methods are proposed to (1) model nutrient uncertainty in food items, (2) extend the nutritional information of a food item using an IT2FS representation for each nutrient incorporating the uncertainty in the extension process, (3) accumulate uncertainties for IT2FS inputs using fuzzy arithmetic, and (4) build IT2FS antecedents for FLC rules based on dietary reference intakes (DRIs). These methods are then used to implement a web application for diet journaling that includes a client-side Type-2 non-singleton Interval Type-2 FLC. The produced application is then compared with the previous work and shown to be more suitable. This is the first known work on diet journaling that attempts to model uncertainty for all anticipated measurement error
Data-Centric UML Profile for Wireless Sensors: Application to Smart Farming
No full textModelling WSN data behaviour is relevant since it would allow to evaluate the capacity of an application for supplying the user needs, moreover, it could enable a transparent integration with different data-centric information systems. Therefore, this article proposes a data-centric UML profile for the design of wireless sensor nodes from the user point-of-view capable of representing the gathered and delivered data of the node. This profile considers different characteristics and configurations of frequency, aggregation, persistence and quality at the level of the wireless sensor nodes. Furthermore, this article validates the UML profile through a computer-aided software engineering (CASE) tool implementation and one case study, centred on the data collected by a real WSN implementation for precision agriculture and smart farming