|Zooming in, Zooming Out: A Framework for Hierarchical Genetic Algorithms|
We present a framework of algorithms and techniques involving hierarchical genetic algorithms. These algorithms attempt to generate models and solutions at
both the structural and atomic levels simultaneously using atomic and global chromosomes. Complex adaptive emergent systems (CAESs) are comprised of
heterogeneous, interacting, adaptive agents that exhibit the properties of self-organization, emergence, and connectivity [Ahmed2005]. This paper
presents early work and is meant to serve as a starting point in the synthesis of complex adaptive emergent systems using HGAs. Two implementations are
discussed1 that exemplify the compositional nature of hierarchical genetic algorithms and their applicability to both modeling and iteratively generating
complex adaptive emergent systems.
Perceptions of Electronic Health Records in Mississippi
Jennifer L. Styron, Barry Cumbie
This study reports perceptions of Electronic Health Record
(EHR) adoption among key constituents in Mississippi to inform
health care professionals and administrators about factors that
influence the adoption and integration of EHRs into practice.
The results from a survey conducted at two statewide health
conferences in Mississippi indicated a high degree of optimism
in regards to successful EHR adoption, but less for specific
practices and in rural areas. These results are relevant to
healthcare decision and policy makers to determine needed
professional preparation and programming, if any, for current
and future healthcare professionals; and to identify workforce
development challenges lending insight into the technology
skills needed to adopt and utilize EHRs at a meaningful level.
Further, the assessment identified potential factors that may be
associated with the current level of adoption of utilization of
A Problem-Solving Approach to Teaching Creativity
for Engineering and Other Disciplines
Chelsey Bradford, Zachary Balgeman, Fernando Aguilar, Sami Khorbotly, Mark M. Budnk
Creativity is an integral part in the careers of every professional, including artists, actors, as well as businessmen and engineers. Engineers, the focus of this effort, are traditionally considered to be systematic thinkers and implementers of constrained procedures and algorithms. In order to challenge this perception, ECE490DI is a class designed to show engineering students that their majors and future careers will not only use creativity, but be fully immersed in it. Once the students realize this fact, the next step is to help them discover their own creativity skills and show them that creativity, like other talents, can be nurtured and strengthened through repetitive use.
To accomplish these goals, students in ECE490DI take a class trip to renowned theme parks in Orlando, FL, where they attend multiple workshops in the areas of leadership, teamwork, and creativity. The workshops allow students to exercise their leadership, teamwork, and creativity and show them several tools to expand and further improve their abilities in those areas. Students are also given the chance to meet and interact with theme parks’ engineers, also known as “Imagineers,” to see the practical applications of creativity in a hands-on creative work environment.
While the objectives of ECE490DI were successfully met in previous semesters, the class was redesigned to have a broader scope and a multidisciplinary nature. The multidisciplinary version of the class builds on the assessment results of the previous offerings as well as feedback from participating students, faculty members, and theme parks staff members. The new version of the class includes more meetings throughout the semester to further reinforce the ideas and concepts from the workshops.
Measurement of Flow Properties of Mammalian Blood with Different Hematocrit Values Using Falling Needle Rheometer
Takamasa Suzuki, Sadao Araki, Hideki Yamamoto, Kimito Kawamura, Hiroko Aida, Dominik Bernitzky, Roberto Plasenzotti
The development of viscometry with high accuracy and
quick operation, as well as the establishment of a data
evaluation method by pathology are largely required.
Especially, the flow properties of human blood are an
important factor in the evaluation of blood disease on the
medicine, but the method of viscometry and the data
collection are not so easy. This study has been described on
the viscosity measurement and their evaluations for
mammalian blood (rabbit, pig and horse) including human
blood. A compact-sized falling needle rheometer (FNR) and
a flow analysis method using this device for blood have
been developed, and the relationship between the apparent
viscosity and physical properties (density, hematocrit value)
of blood have also been evaluated. Measured flow
properties of blood are evaluated as a flow curve showing
the relationship between the shear stress and shear rate.
Observed flow curves of mammalian bloods show three
typical fluid regions, these are, the Non-newtonian fluid
region for a low shear rate range, the transition region and
the Newtonian fluid region for a high shear rate range. Flow
properties of blood in the Casson fluid region and the
apparent viscosity (µ) in the Newtonian fluid region are
measured, and they are compared between mammals.
New FACTS Equipment in an Enhanced Version of Smart Grids. The Magnetic Gate
Julio Enrique Posada C.
This work is a qualitative proposal of a new FACTS device, which aims to repower the "Smart Grids", to a higher level. The existing FACTS that are covering the role of power flow control have the disadvantages of the use of electronic devices, and generate excessive heat and harmonics injected into the network. These devices are expensive and their regulation is binary: zero flow or total flow. This proposal offers a more versatile power flow control from zero to one hundred percent of its nominal capacity. Smart grids will no longer need to have a Relay Counseling Center, and the communication by pilot wire or other means available will be enough to control and protect the network. Therefore, due to fewer crossed and analyzed data, the laborious task of considering whether an event is really a failure, will be less complicated and will be carried out more quickly.
In combination with phase measurement units (PMUs) for each MAG, approximation techniques will not be necessary to estimate the variations caused by the dynamics of the demand, because the MAG is operating in "floating mode" as discussed further below. The network automatically and gradually rearranges these variations. Incomplete observation could be used for measuring voltage and current signals of the network in some specific points in the network.
Analysis of Air Flow Past and through the 2415-3S Airfoil for an Unmanned Aerial Vehicle with Internal Propulsion System
Luis D. Mendoza, Jirí Nožicka
This paper deals with the prediction of velocity fields on the 2415-3S airfoil which will be used for an unmanned aerial vehicle with internal propulsion system and in this way analyze the air flow through an internal duct of the airfoil using computational fluid dynamics. The main objective is to evaluate the effect of the internal air flow past the airfoil and how this affects the aerodynamic performance by means of lift and drag forces. For this purpose, three different designs of the internal duct were studied; starting from the base 2415-3S airfoil developed in previous investigation, basing on the hypothesis of decreasing the flow separation produced when the propulsive airflow merges the external flow, and in this way obtaining the best configuration. For that purpose, an exhaustive study of the mesh sensitivity was performed. It was used a non-structured mesh since the computational domain is three-dimensional and complex. The selected mesh contains approximately 12.5 million elements. Both the computational domain and the numerical solution were made with commercial CAD and CFD software, respectively. Air, incompressible and steady was analyzed. The boundary conditions are in concordance with experimental setup in the AF 6109 wind tunnel. The k-e model is utilized to describe the turbulent flow process as followed in references. Results allowed obtaining velocity contours as well as lift and drag coefficients and also the location of separation and reattachment regions in some cases for zero degrees of angle of attack on the internal and external surfaces of the airfoil. Finally, the selection of the configuration with the best aerodynamic performance was made, selecting the option without curved baffles.
Cognitive Analytics: A Step Towards Tacit Knowledge?
Fred A. Maymir-Ducharme, Lee A. Angelelli
Tacit Knowledge (TK) generally refers to information that is difficult to convey, store, or transfer explicitly. KT is a key challenge for corporations interested in capturing information in Knowledge Management (KM) systems that is generally lost with attrition or other human factors (e.g., dimensia). In particular, the challenge is in the capture of implicit information (e.g., additional related data, perspectives, and other frames of reference) – in a manner in which it can later be utilized. This paper suggests the use of Cognitive Computing (Analytics) as an advanced approach to capture and extract tacit knowledge. KM involves the process of identifying, capturing, extending, sharing, and ultimately exploiting individual or organizational knowledge. Today’s KM requires a multi-disciplinary approach, capable of extending itself to deal with large volumes of disparate data types and emerging technologies that provide a broad set of search and analytics capabilities to meet an organization’s need to innovate and thrive. Many organizations have extended their KM to include a variety of unstructured text (e.g., documents and web pages) and multimedia (e.g., pictures, audio and video). The last decade has shown a strong focus on analytics. Analytics provide large organizations the ability to deal with the exponential growth in data volumes and the complexities associated with effectively and efficiently exploiting corporate or organizational data – thus allowing them to dynamically meet internal goals, as well as survive in very competitive environments. This paper provides an overview of various analytic approaches that have been applied to KM over the years, and the state of the art in analytics (Cognitive Computing); and it identifies additional capabilities and technologies in the horizon.
Comparison of Alternative Processes for Support Decisions
Manuel Martínez-Álvarez, Sandra-Dinora Orantes-Jiménez, Graciela Vázquez-Álvarez
There are many tasks that revolve around combinatorial
analysis problems, same tasks found in Decision Support
Systems (DSS) as most of these are responsible for assessing a
number of possibilities to deliver the best options. Within the
analysis of possible solutions is performed by the DSS there are
alternative procedures inside the engine for making decisions
that involve them. As part of these alternative procedures today
has highlighted the use of metaheuristics, thus in this paper we
propose a comparison of some of them trying to broaden the
spectrum we have for the applications nowadays.
|Extensive Investigations on Bio-Inspired Trust and Reputation Model over Hops Coefficient Factor in Distributed Wireless Sensor Networks|
Vinod Kumar Verma
Resource utilization requires a substantial consideration for a trust and reputation model to be deployed within a wireless sensor network (WSN). In the evaluation, our attention is focused on the effect of hops coefficient factor estimation on WSN with bio-inspired trust and reputation model (BTRM). We present the state-of-the-art system level evaluation of accuracy and path length of sensor node operations for their current and average scenarios. Additionally, we emphasized over the energy consumption evaluation for static, dynamic and oscillatory modes of BTRM-WSN model. The performance of the hops coefficient factor for our proposed framework is evaluated via analytic bounds and numerical simulations.
Water Quantity Prediction Using Least Squares Support Vector Machines (LS-SVM) Method
Nian Zhang, Charles Williams, Pradeep Behera
The impact of reliable estimation of stream flows at highly urbanized areas and the associated receiving waters is very important for water resources analysis and design. We used the least squares support vector machine (LS-SVM) based algorithm to forecast the future streamflow discharge. A Gaussian Radial Basis Function (RBF) kernel framework was built on the data set to optimize the tuning parameters and to obtain the moderated output. The training process of LS-SVM was designed to select both kernel parameters and regularization constants. The USGS real-time water data were used as time series input. 50% of the data were used for training, and 50% were used for testing. The experimental results showed that the LS-SVM algorithm is a reliable and efficient method for streamflow prediction, which has an important impact to the water resource management field.
Specification of Requirements for Visually Impaired Persons in Services in Transportation Electronic Information System
Michal Jerabek, Jan Krcal, Tomas Zelinka
This article highlights the basic concept of the expansion of the current transportation information system in the Czech Republic by employing the Near Field Communication technology for the visually impaired passengers. Nowadays are electronic information systems an integral part of transportation arrangements in every city. They are built with the aim to offer to its constituents various services and to facilitate their orientation in a complex transportation network. These systems, however, do not necessarily take into consideration the needs of the handicapped, for example the visually impaired, although precisely this group needs correct and aptly transmitted information more than any other segment of the population.
Telematics System dedicated for Provisioning of On-Line Information about Predicted Occupancy of Highway Parking Areas
Tomas Zelinka, Michal Jerabek, Martin Srotyr, Zdenek Lokaj, Petr Kumpost
More and more often occurs problem with the lack of parking places for trucks over 3.5t, which is related to the increase in the intensity of freight transport. Consequently this can lead to very dangerous situations with parking of trucks because drivers do not have information about the occupancy of the nearest parking. The paper presents an intelligent transportation system, which provides information about the predicted occupancy of parking lots to truck drivers. Providing this information leads to optimizing the use of existing parking areas on the highway network and also makes it easier for drivers to deciding on a suitable location for parking, which ultimately contributes to the fluency and safety of traffic.
Insights from Massively Multiplayer Online Role Playing Games to Enhance Gamification in Education
Alireza Tavakkoli, Donald Loffredo, Mark Ward Sr.
This paper presents the results of the study of a cohort of college graduate and undergraduate students who participated in playing a Massively Multiplayer Online Role Playing Game (MMORPG) as a gameplay rich with social interaction as well as intellectual and aesthetic features. Statistically significant differences among our participants’ perception, sensation seeking, and satisfaction in relation to gameplay features are investigated. Our primary objective in this investigation was to look for certain aspects of game playing and sensation seeking that attracts a group of students to engage in long term gameplay online. Results support the majority of pre-planned hypotheses and show potential important considerations to take into account when developing gamified content for educational applications. Furthermore, the limitation of the data used in this study is presented and future directions to remove the current limitation and proliferate results through qualitative research into players’ in-game social interactions. We suggest that finding similarities and underlying patterns of attraction among a diverse group of students could be beneficial in designing gameplay features to enhance student participation in the learning experience and improve learning performance.
Evaluation of Uncertainty on the Stages of Business Cycle: Implementation of Quantum Principles
Anna Svirina, Elena Parfenova, Elena Shurkina
The goal of the research is to propose implementation of
quantum principles for evaluation of economic development on
stages of business cycle, define the difference between
traditional (deterministic) and quantum approaches and to
provide quantitative analysis based argumentation for use of
quantum economic principles in evaluation of internal and
external factors on the stages of business cycle. The object of
the study is possibility and reliability of quantum economic
principles implementation to evaluate economic system
performance. The authors analyze existing approaches towards
implementation of deterministic, probabilistic and quantum
models for estimating internal and external factors on stages of
business cycle, define the benchmark for shift from traditional
economy models and principles to quantum principles, describe
the stages of business cycle from the quantum economics point
of view and provide quantitative analysis of deterministic and
quantum models quality on the level of enterprise to prove
efficiency and reliability of quantum principles based approach.
Calculations and data processing were carried out using
Microsoft Excel and SSPS Statistics software.
The Major Milestones to Constitute SINTONÍA, an Institute for Collaboration (IFC)
Judith Cortés Zurita, José Pablo Nuño
In recent years, the importance of the microeconomic environment for business competitiveness and economic and social development has been increasingly recognized. This includes a wide range of factors, organizations, strategies, policies and norms that directly affect productivity. The entities that influence competitiveness at the micro level are business and related industries, government and regulatory agencies, universities and institutions for collaboration to promote collaboration and coordination. The interactions among them have a direct impact for the competitiveness of any region. Hence, it is crucial to have an Institute for Collaboration as the leading coordinating effort to foster development and economic competitiveness in Puebla, México and the region. The Institutions for Collaboration, IFC's, (Porter, 2003) influence the productivity and competitiveness to play a variety of roles in three types of markets: local, regional and international. The objective of this paper is to present a model of collaboration, innovation and shared value through the figure of an Institute for Collaboration, SINTONIA, created at UPAEP University in Puebla.