Evaluation of “Codeve” methodology for teaching npd to virtual design teams

Studies on the effectiveness of New Product Development (NPD) in countries of partner organizations of EGPR (European Global Product Realisation) course discovered that the end phases of the process are most challenging. These are identification of market needs on one end and commercialization on the other. CODEVE (COllaborative DEsign in Virtual Environment) teaching methodology is developed within EGPR course. EGPR is joint educational project of four European universities running since 2004. CODEVE is tested through the Erasmus+ funded project called NARIP (Networked Activities for Realization of Innovative Products). The goal of developing this teaching methodology was to establish suitable means by which students can learn NPD process and how to implement it in their professional career. NARIP project is funded by EU over three years to develop, test and implement this methodology within partner academic institutions from the UK, Croatia, Slovenia and Hungary. It is expected that the recommendations resulting from this activity will be implemented in academia and industry across Europe and help companies to improve their NPD process. This paper presents findings of the student surveys from NARIP projects hosted by Zagreb and Budapest in 2015 and 2016 respectively. The study analyses the effectiveness of the NPD process, the engagement of students, knowledge generation of staff and other aspects of the performed NPD process. The analysis lead to recommendations of improving the CODEVE methodology which will be finally tested in the EGPR project hosted in the UK in 2017

Development of methodology for distributed collaborative design environment

This paper describes the CODEVE (COllaborative DEsign in Virtual Environment) methodology developed in a joint educational project of four European universities called NARIP (Networked Activities for Realization of Innovative Products). The ultimate goal of the NARIP NPD course is to develop a concept and produce a physical product prototype within one academic semester. In order to expose students to real life situations the prototype is being produced in close collaboration with an industrial partner. Elements of the NARIP course comprise: (1) project definition-according to agreement with the industrial partner, (2) lectures composed and adapted to address the specific needs of the current project and which are equally distributed to partner universities, (3) project work monitored by academics, with three distinct phases and review points, and (4) the final workshop that includes prototype manufacturing, assembly and testing, final presentation and exhibition. The paper presents the structure and details of the developed methodology as well as an overview of the course development history. The core of the CODEVE methodology is a set of comprehensive guidelines for students and teachers that are specially adapted and focused to the issues and problems that arise in distributed collaborative multidisciplinary design projects. The methodology focuses on management of complex projects, emphasizing the importance of research phases, prompt clarification of any issues and balanced distribution of project tasks. The methodology also promotes the use of various virtual/on-line collaboration tools to foster discussion and exchange of 3D sketches and models

Development of methodology for distributed collaborative design environment

This paper describes the CODEVE (COllaborative DEsign in Virtual Environment) methodology developed in a joint educational project of four European universities called NARIP (Networked Activities for Realization of Innovative Products). The ultimate goal of the NARIP NPD course is to develop a concept and produce a physical product prototype within one academic semester. In order to expose students to real life situations the prototype is being produced in close collaboration with an industrial partner. Elements of the NARIP course comprise: (1) project definition-according to agreement with the industrial partner, (2) lectures composed and adapted to address the specific needs of the current project and which are equally distributed to partner universities, (3) project work monitored by academics, with three distinct phases and review points, and (4) the final workshop that includes prototype manufacturing, assembly and testing, final presentation and exhibition. The paper presents the structure and details of the developed methodology as well as an overview of the course development history. The core of the CODEVE methodology is a set of comprehensive guidelines for students and teachers that are specially adapted and focused to the issues and problems that arise in distributed collaborative multidisciplinary design projects. The methodology focuses on management of complex projects, emphasizing the importance of research phases, prompt clarification of any issues and balanced distribution of project tasks. The methodology also promotes the use of various virtual/on-line collaboration tools to foster discussion and exchange of 3D sketches and models

Energy-aware Georouting with Guaranteed Delivery in Wireless Sensor Networks with Obstacles

International audienceWe propose, EtE, a novel end-to-end localized routing protocol for wireless sensor networks that is energy-efficient and guarantees delivery. To forward a packet, a node s in graph G computes the cost of the energy weighted shortest path between s and each of its neighbors in the forward direction towards the destination which minimizes the ratio of the cost of the shortest path to the progress (reduction in distance towards the destination). It then sends the message to the first node on the shortest path from s to x: say node x′. Node x′ restarts the same greedy rout- ing process until the destination is reached or an obstacle is encountered and the routing fails. To recover from the latter scenario, local minima trap, our algorithm invokes an energy-aware Face routing that guarantees delivery. Our work is the first to optimize energy consumption of Face routing. It works as follows. First, it builds a connected dominating set from graph G, second it computes its Gabriel graph to obtain the planar graph G′. Face routing is invoked and applied to G′ only to determine which edges to follow in the recovery process. On each edge, greedy rout- ing is applied. This two-phase (greedy-Face) End-to-End routing process (EtE) reiterates until the final destination is reached. Simulation results show that EtE outperforms several existing geographical routing on en- ergy consumption metric and delivery rate. Moreover, we prove that the computed path length and the total energy of the path are constant factors of the optimal for dense networks

Association between the Cytotoxic T-Lymphocyte Antigen 4 +49G > A polymorphism and cancer risk: a meta-analysis

<p>Abstract</p> <p>Background</p> <p>As a key gene in the immunosurveillance of cell malignancy, Cytotoxic T-lymphocyte antigen 4 (CTLA-4 is an important negative regulator of T cell activation and proliferation. The CTLA-4 +49G > A polymorphism is one of the most commonly studied polymorphisms in this gene due to its association with cancer risks, but previous results have been conflicting.</p> <p>Methods</p> <p>We preformed a meta-analysis using 22 eligible case-control studies (including 32 datasets) with a total of 11,273 patients and 13,179 controls to summarize the existing data on the association between the <it>CTLA-4 </it>+49G > A polymorphism and cancer risk.</p> <p>Results</p> <p>Compared with the common <it>CTLA-4 </it>+49G > A GG genotype, the carriers of variant genotypes (<it>CTLA-4 </it>+49 GC/CC) had a 1.24-fold elevated risk of cancer (95% CI = 1.18-1.32, <it>P </it>< 0.05) under the dominant genetic model, as estimated using a fixed effect model. The effect of the <it>CTLA-4 </it>+49G > A polymorphism was further evaluated using stratification analysis. In four breast cancer studies, patients with the variant genotypes had a significantly increased risk of breast cancer (OR = 1.31, 95% CI = 1.17-1.48, <it>P </it>< 0.00001). A similar result was found in three skin cancer studies (OR = 1.30, 95% CI = 1.10-1.52, <it>P </it>= 0.001). In 26 solid tumor studies, subjects with the variant genotypes had a significantly higher risk of developing solid tumors (OR = 1.25, 95% CI = 1.18-1.33, <it>P </it>< 0.00001) compared with the 6 non-solid tumor studies (OR = 1.08, 95% CI = 0.79-1.48, <it>P </it>= 0.62). Patients with variant genotypes had significantly increased risk of non-epithelial tumors and epithelial tumors, with ORs of 1.23 (95% CI = 1.14-1.32, <it>P </it>< 0.00001) and 1.29 (95% CI = 1.17-1.41, <it>P </it>< 0.00001), respectively. It was also demonstrated that the increased risk of cancer associated with <it>CTLA-4 </it>+49G > A variant genotypes was more pronounced in Caucasians (OR = 1.29, 95% CI = 1.13-1.47, <it>P </it>= 0.0002), Asians (OR = 1.23, 95% CI = 1.16-1.32, <it>P </it>< 0.00001) and Chinese (OR = 1.23, 95% CI = 1.15-1.31, <it>P </it>< 0.00001).</p> <p>Conclusion</p> <p>Our meta-analysis suggests that the <it>CTLA-4 </it>+49G > A polymorphism genotypes (GA + AA) might be associated with an increased risk of cancer, especially in Caucasians and Chinese.</p

Permanent Professionals Education for Integral Design Collaboration

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