Abstract: A robotic arm and hand controlled by simulated
neurons is presented. The robot makes use of a biological neuron
simulator using a point neural model. The neurons and synapses are
organised to create a finite state automaton including neural inputs
from sensors, and outputs to effectors. The robot performs a simple
pick-and-place task. This work is a proof of concept study for a
longer term approach. It is hoped that further work will lead to
more effective and flexible robots. As another benefit, it is hoped that
further work will also lead to a better understanding of human and
other animal neural processing, particularly for physical motion. This
is a multidisciplinary approach combining cognitive neuroscience,
robotics, and psychology.
Abstract: The paper presents another structural scheme of high-temperature starter-generator with external rotor to be installed on High Pressure Shaft (HPS) of aircraft engines (AE) to implement More Electrical Engine concept. The basic materials to make this starter-generator (SG) were selected and justified. Multi-criteria optimization of the developed structural scheme was performed using a genetic algorithm and Pareto method. The optimum (in Pareto terms) active length and thickness of permanent magnets of SG were selected as a result of the optimization. Using the dimensions obtained, allowed to reduce the weight of the designed SG by 10 kg relative to a base option at constant thermal loads. Multidisciplinary computer simulation was performed on the basis of the optimum geometric dimensions, which proved performance efficiency of the design. We further plan to make a full-scale sample of SG of HPS and publish the results of its experimental research.
Abstract: One of the main tasks in the development of textile machinery is to increase the rapidity of automatic looms, and consequently, their productivity. With increasing automatic loom speeds, the dynamic loads on their separate mechanisms and moving joints sharply increase. Dynamic research allows us to determine the weakest mechanisms of the automatic loom. The modern automatic loom consists of a large number of structurally different mechanisms. These are cam, lever, gear, friction and combined cyclic mechanisms. The modern automatic loom contains various mechatronic devices: A device for the automatic removal of faulty weft, electromechanical drive warp yarns, electronic controllers, servos, etc. In the paper, we consider the multibody dynamic model of the automatic loom on the software complex SimulationX. SimulationX is multidisciplinary software for modeling complex physical and technical facilities and systems. The multibody dynamic model of the automatic loom allows consideration of: The transition processes, backlash at the joints and nodes, the force of resistance and electric motor performance.
Abstract: Industrial Engineering is a broad multidisciplinary field with intersections and applications in numerous areas. When designing a product, it is important to determine the appropriate attributes of value and the preference function for which the product is optimized. This paper provides some guidelines on appropriate selection of attributes for preference and value functions for engineering design.
Abstract: Rotorcraft provides invaluable services thanks to their Vertical Take-Off and Landing (VTOL), hover and low speed capabilities. Yet their use is still often limited by their cost and environmental impact, especially noise and energy consumption. One of the main brakes to the expansion of the use of rotorcraft for urban missions is the environmental impact. The first main concern for the population is the noise. In order to develop the transversal competency to assess the rotorcraft environmental footprint, a collaboration has been launched between six research departments within ONERA. The progress in terms of models and methods are capitalized into the numerical workshop C.R.E.A.T.I.O.N. “Concepts of Rotorcraft Enhanced Assessment Through Integrated Optimization Network”. A typical mission for which the environmental impact issue is of great relevance has been defined. The first milestone is to perform the pre-sizing of a reference helicopter for this mission. In a second milestone, an alternate rotorcraft concept has been defined: a tandem rotorcraft with optional propulsion. The key design trends are given for the pre-sizing of this rotorcraft aiming at a significant reduction of the global environmental impact while still giving equivalent flight performance and safety with respect to the reference helicopter. The models and methods have been improved for catching sooner and more globally, the relative variations on the environmental impact when changing the rotorcraft architecture, the pre-design variables and the operation parameters.
Abstract: Teaching statistics is a critical and challenging issue especially to students from multidisciplinary and diverse postgraduate backgrounds. Postgraduate research students require statistics not only for the design of experiments; but also for data analysis. Students often perceive statistics as a complex and technical subject; thus, they leave data analysis to the last moment. The lecture needs to be simple and inclusive at the same time to make it comprehendible and address the learning needs of each student. Therefore, the aim of this work was to design a simple and comprehendible statistics lecture to postgraduate research students regarding ‘Research plan, design and data collection’. The lecture adopted the constructive alignment learning theory which facilitated the learning environments for the students. The learning environment utilized a student-centered approach and used interactive learning environment with in-class discussion, handouts and electronic voting system handsets. For evaluation of the lecture, formative assessment was made with in-class discussions and poll questions which were introduced during and after the lecture. The whole approach showed to be effective in creating a learning environment to the students who were able to apply the concepts addressed to their individual research projects.
Abstract: Background: Competency of nurses is vital to safe nursing practice as well as essential component to drive quality of nursing services. There exists little up to date information concerning actual competency among Vietnamese nurses. Purposes: The purpose of this study is to identify the actual nursing competency among nurses in clinical settings in Vietnam. Methods: A qualitative study, ethnographic method, comprised of the participant-observation, in-depth interview, and focus group discussion with multidisciplinary groups of nurses employing in Cho Ray hospital, Vietnam, managers/administrators, nurse teachers, medical doctors, other health care providers, patients and family members which derived from purposeful sampling technique. Content analysis was used for data analysis. Results: Five essential themes of nursing competencies among nurses were identified include (1) knowledge, (2) skills, (3) attitude and value-based nursing practice, (4) legal and ethical competencies, and (5) transcultural competencies. Basic and advanced knowledge were identified as further two dimensions of knowledge. There were five sub themes identified as further dimensions of skills include technical skills, communication skills, organizing and management skills, teamwork and interrelationship, and critical thinking skills. Conclusions: The findings from this study provide valuable information and understanding of the actual competency among nurses in clinical settings in Vietnam. It is expected that this understanding would assist in developing a guide to nursing education and training, nursing practice and relevant policy regulation used for promoting nursing competency among nurses.
Abstract: At the Savonia University of Applied Sciences (UAS),
curriculum and studies have been improved by applying an Open
Innovation Space approach (OIS). It is based on multidisciplinary
action learning. The key elements of OIS-ideology are work-life
orientation, and student-centric communal learning. In this approach,
every participant can learn from each other and innovations will be
created. In this social innovation educational approach, all practices
are carried out in close collaboration with enterprises in real-life
settings, not in classrooms. As an example, in this paper, Savonia
UAS’s Future Food RDI hub (FF) shows how OIS practices are
implemented by providing food product development and consumer
research services for enterprises in close collaboration with
academicians, students and consumers. In particular one example of
OIS experimentation in the field is provided by a consumer research
carried out utilizing verbal analysis protocol combined with audiovisual
observation (VAP-WAVO). In this case, all co-learners were
acting together in supermarket settings to collect the relevant data for
a product development and the marketing department of a company.
The company benefitted from the results obtained, students were
more satisfied with their studies, educators and academicians were
able to obtain good evidence for further collaboration as well as
renewing curriculum contents based on the requirements of working
life. In addition, society will benefit over time as young university
adults find careers more easily through their OIS related food science
studies. Also this knowledge interaction model re-news education
practices and brings working-life closer to educational research
institutes.
Abstract: One of the challenges that higher education faces is to
find how to approach the sustainability in an inclusive way to the
student within all the different academic areas, how to move the
sustainable development from the abstract field to the operational
field. This research comes from the ecoliteracy and the pedagogical
praxis as tools for rebuilding the teaching processes inside of
universities. The purpose is to determine and describe which are the
factors involved in the process of learning particularly in the
Greenhouse-School Siembra UV. In the Greenhouse-School Siembra UV, of the University of
Veracruz, are cultivated vegetables, medicinal plants and small
cornfields under the usage of eco-technologies such as hydroponics,
Wickingbed and Hugelkultur, which main purpose is the saving of
space, labor and natural resources, as well as function as agricultural
production alternatives in the urban and periurban zones. The sample was formed with students from different academic
areas and who are actively involved in the greenhouse, as well as
institutes from the University of Veracruz and governmental and nongovernmental
departments. This project comes from a pedagogic praxis approach, from filling
the needs that the different professional profiles of the university
students have. All this with the purpose of generate a pragmatic
dialogue with the sustainability. It also comes from the necessity to
understand the factors that intervene in the students’ praxis. In this
manner is how the students are the fundamental unit in the sphere of
sustainability. As a result, it is observed that those University of Veracruz
students who are involved in the Greenhouse-school, Siembra UV,
have enriched in different levels the sense of urban and periurban
agriculture because of the diverse academic approaches they have
and the interaction between them. It is concluded that the ecotechnologies
act as fundamental tools for ecoliteracy in society,
where it is strengthen the nutritional and food security from a
sustainable development approach.
Abstract: The rationale behind this study is considering
combating and preventing the phenomenon of trafficking in human
beings from a multidisciplinary perspective that involves many layers
of the society.
Trafficking in human beings is an abhorrent phenomenon highly
affecting negatively the victims and their families in both human and
material aspect, sometimes causing irreversible damages. The longer
term effects of this phenomenon, in countries with a weak economic
development and extremely young and dynamic population, such as
Kosovo, without proper measures to prevented and control can cause
tremendous damages in the society. Given the fact that a complete
eradication of this phenomenon is almost impossible, efforts should
be concentrated at least on the prevention and controlling aspects.
Treating trafficking in human beings based on traditional police
tactics, methods and proceedings cannot bring satisfactory results.
There is no doubt that a multi-disciplinary approach is an
irreplaceable requirement, in other words, a combination of authentic
and functional proactive and reactive methods, techniques and tactics.
Obviously, police must exercise its role in preventing and combating
trafficking in human beings, a role sanctioned by the law, however,
police role and contribution cannot by any means considered
complete if all segments of the society are not included in these
efforts. Naturally, civil society should have an important share in
these collaborative and interactive efforts especially in preventive
activities such as: awareness on trafficking risks and damages,
proactive engagement in drafting appropriate legislation and
strategies, law enforcement monitoring and direct or indirect
involvement in protective and supporting activities which benefit the
victims of trafficking etc.
Abstract: The present work describes the implementation of the
Enhanced Collaborative Optimization (ECO) multilevel architecture
with a gradient-based optimization algorithm with the aim of
performing a multidisciplinary design optimization of a generic
unmanned aerial vehicle with morphing technologies. The concepts
of weighting coefficient and dynamic compatibility parameter are
presented for the ECO architecture. A routine that calculates the
aircraft performance for the user defined mission profile and vehicle’s
performance requirements has been implemented using low fidelity
models for the aerodynamics, stability, propulsion, weight, balance
and flight performance. A benchmarking case study for evaluating
the advantage of using a variable span wing within the optimization
methodology developed is presented.
Abstract: Artificial Neural Networks (ANN) trained using backpropagation
(BP) algorithm are commonly used for modeling
material behavior associated with non-linear, complex or unknown
interactions among the material constituents. Despite multidisciplinary
applications of back-propagation neural networks
(BPNN), the BP algorithm possesses the inherent drawback of
getting trapped in local minima and slowly converging to a global
optimum. The paper present a hybrid artificial neural networks and
genetic algorithm approach for modeling slump of ready mix
concrete based on its design mix constituents. Genetic algorithms
(GA) global search is employed for evolving the initial weights and
biases for training of neural networks, which are further fine tuned
using the BP algorithm. The study showed that, hybrid ANN-GA
model provided consistent predictions in comparison to commonly
used BPNN model. In comparison to BPNN model, the hybrid ANNGA
model was able to reach the desired performance goal quickly.
Apart from the modeling slump of ready mix concrete, the synaptic
weights of neural networks were harnessed for analyzing the relative
importance of concrete design mix constituents on the slump value.
The sand and water constituents of the concrete design mix were
found to exhibit maximum importance on the concrete slump value.
Abstract: This paper seeks to give a general idea of the universe of project portfolio management, from its multidisciplinary nature, to the many challenges it raises, passing through the different techniques, models and tools used to solve the multiple problems known. It is intended to contribute to the clarification, with great depth, of the impacts and relationships involved in managing the projects- portfolio. It aims at proposing a technique for the project alignment with the organisational strategy, in order to select projects that later on will be considered in the analysis and selection of the portfolio. We consider the development of a methodology for assessing the project alignment index very relevant in the global market scenario. It can help organisations to gain a greater awareness of market dynamics, speed up the decision process and increase its consistency, thus enabling the strategic alignment and the improvement of the organisational performance.
Abstract: Adolescents in Northern Uganda are at risk of teenage
pregnancies, unsafe abortions and sexually transmitted infections
(STIs). There is silence on sex both at home and school. This cross
sectional descriptive analytical study interviews a random sample of
827 students and 13 teachers on knowledge, perception and
acceptability to a comprehensive adolescent sexual and reproductive
health education in “O” and “A” level secondary schools in Gulu
District. Quantitative data was analyzed using SPSS 16.0. Directed
content analysis of themes of transcribed qualitative data was
conducted manually for common codes, sub-categories and
categories. Of the 827 students; 54.3% (449) reported being in a
sexual relationship especially those aged 15-17 years. Majority
96.1% (807) supported the teaching of a comprehensive ASRHE,
citing no negative impact 71.5% (601). Majority 81.6% (686) agreed
that such education could help prevention of STIs, abortions and
teenage pregnancies, and that it should be taught by health workers
69.0% (580). Majority 76.6% (203) reported that ASRHE was not
currently being taught in their schools. Students had low knowledge
levels and misconceptions about ASRHE. ASRHE was highly
acceptable though not being emphasized; its success in school
settings requires multidisciplinary culturally sensitive approaches
amongst which health workers should be frontiers.
Abstract: Deciding the numerous parameters involved in
designing a competent artificial neural network is a complicated task.
The existence of several options for selecting an appropriate
architecture for neural network adds to this complexity, especially
when different applications of heterogeneous natures are concerned.
Two completely different applications in engineering and medical
science were selected in the present study including prediction of
workpiece's surface roughness in ultrasonic-vibration assisted turning
and papilloma viruses oncogenicity. Several neural network
architectures with different parameters were developed for each
application and the results were compared. It was illustrated in this
paper that some applications such as the first one mentioned above
are apt to be modeled by a single network with sufficient accuracy,
whereas others such as the second application can be best modeled
by different expert networks for different ranges of output.
Development of knowledge about the essentials of neural networks
for different applications is regarded as the cornerstone of
multidisciplinary network design programs to be developed as a
means of reducing inconsistencies and the burden of the user
intervention.
Abstract: Bond Graph as a unified multidisciplinary tool is widely
used not only for dynamic modelling but also for Fault Detection and
Isolation because of its structural and causal proprieties. A binary
Fault Signature Matrix is systematically generated but to make the
final binary decision is not always feasible because of the problems
revealed by such method. The purpose of this paper is introducing a
methodology for the improvement of the classical binary method of
decision-making, so that the unknown and identical failure signatures
can be treated to improve the robustness. This approach consists of
associating the evaluated residuals and the components reliability data
to build a Hybrid Bayesian Network. This network is used in two
distinct inference procedures: one for the continuous part and the
other for the discrete part. The continuous nodes of the network are
the prior probabilities of the components failures, which are used by
the inference procedure on the discrete part to compute the posterior
probabilities of the failures. The developed methodology is applied
to a real steam generator pilot process.
Abstract: In this paper, a novel approach for the multidisciplinary design optimization (MDO) of complex mechatronic systems. This approach, which is a part of a global project aiming to include the MDO aspect inside an innovative design process. As a first step, the paper considers the MDO as a redesign approach which is limited to the parametric optimization. After defining and introducing the different keywords, the proposed method which is based on the V-Model which is commonly used in mechatronics.
Abstract: This study reports the implementation of Good
Manufacturing Practice (GMP) in a polycarbonate film processing
plant. The implementation of GMP took place with the creation of a
multidisciplinary team. It was carried out in four steps: conduct gap
assessment, create gap closure plan, close gaps, and follow up the
GMP implementation. The basis for the gap assessment is the
guideline for GMP for plastic materials and articles intended for Food
Contact Material (FCM), which was edited by Plastic Europe. The
effective results of the GMP implementation in this study showed
100% completion of gap assessment. The key success factors for
implementing GMP in production process are the commitment,
intention and support of top management.
Abstract: This paper invites to dialogue and reflections on
innovation and entrepreneurship by presenting concepts of innovation
leading to the introduction of a complex theoretical framework;
Cooperative Innovation (CO-IN). CO-IN is a didactic model
enhancing and scaffolding processes of cooperation creating
innovation drawing on a Scandinavian tradition.
CO-IN is based on a cross-sectorial and multidisciplinary
approach. We introduce the concept of complementarity to help
capture the validity of diversity and we suggest the concept of “the
space in between" to understand the creation of identity as a
collective mind. We see dialogue and the use of multi modal
techniques as essential tools for conceptualizations giving possibility
for clarification of the complexity and diversity leading to decision
making based on knowledge as commons.
We introduce the didactic design and present our empirical
findings from an innovation workshop in Argentina. In a final
paragraph we reflect on the design as a support of the development of
common ground, collective mind and collective action and the
creation of knowledge as commons to facilitate innovation and
entrepreneurship.
Abstract: The term interactive education indicates the meaning
related with multidisciplinary aspects of distance education following
contemporary means around a common basis with different
functional requirements. The aim of this paper is to reflect the new
techniques in education with the new methods and inventions. These
methods are better supplied by interactivity. The integration of
interactive facilities in the discipline of education with distance
learning is not a new concept but in addition the usage of these
methods on design issue is newly being adapted to design education.
In this paper the general approach of this method and after the
analysis of different samples, the advantages and disadvantages of
these approaches are being identified. The method of this paper is to
evaluate the related samples and then analyzing the main hypothesis.
The main focus is to mention the formation processes of this
education. Technological developments in education should be
filtered around the necessities of the design education and the
structure of the system could then be formed or renewed. The
conclusion indicates that interactive methods of education in design
issue is a meaning capturing not only technical and computational
intelligence aspects but also aesthetical and artistic approaches
coming together around the same purpose.