Dear reader: It is our pleasure to offer you our 30th issue of the journal Ingenierías of the Universidad de Medellín. As you well know, we continue with our commitment to improve the indicators so that our introduction in high-impact databases, such as Web of Science and Scopus, becomes a reality.
Quantitative analysis on the geomorphology influence in slope stability
Sebastián Camacho Orozco, Alfonso Mariano Ramos Cañón, Jorge Alberto Escobar Vargas, Andrés...
Landslide occurrence is associated with some conditioning factors and triggering landslide processes. This research contributes to quantify the influence of geomorphology as a conditioning factor in slope stability, via analysis based on a finite element method with an elastoplastic constitutive model. The analysis performs through a numerical simulation with nine three-dimensional slope models. The spatial variation of the stress tensor and its components were obtained by the invariants that reflect the influence of the geoform and flow regime in slope stability. Finally, the authors calculated an index potential failure that quantifies, in a unified manner, the influence of the confinement pressure and shear stress in the slope to determine a susceptibilty failure area.
Assessment of steel reinforcement ratios of concrete walls for energy dissipation categories defined by nsr-10 code
Miguel Prada Sánchez, Julian Carrillo León, César Gélvez
Most structural engineers in Colombia are interested in assessing the variation of reinforcement quantities of concrete walls when designed for fulfilling requirements of categories of energy dissipation, higher than those required by nsr-10. This paper compares and discusses the steel reinforcement ratios obtained from the design of reinforced concrete walls of two housing buildings having an industrialized construction system. The two buildings have different number of stories, were designed based on different categories of seismic behavior, and are located in different seismic hazard zones. Results obtained in this study demonstrated that, for high-rise building located in intermediate seismic hazard zone and using design displacements close to the allowable drift ratio, savings in the reinforcement quantities can be obtained when structural design is carried out using requirements of des category instead of those of dmo category.
Analysis of the influence of signal compression techniques for voice disorder detection through filter-banked based features
Lina María Sepúlveda Cano, Jhon Jair Quiza Montealegre, Jorge Andrés Gómez García
This paper compares the results of using compressed voice signals versus uncompressed speech signals to automatically detect voice abnormalities. Coding techniques and voice compression used in this study are the same as those used by default in the fixed, mobile and ip telephony systems, and techniques of characterization and classification used are also among the most used for detecting automatic speech abnormalities. The results obtained indicate that it is possible to use compressed voice signals for automatic detection of vocal pathologies without compromising the success rate in the diagnosis, which would make the implementation of automatic remote diagnosis of vocal pathologies possible.
This research article proposes the use of a novel variant of the HS algorithm (harmony search), i.e. SFHS (self-regulated fret width harmony search algorithm), for calculating and predicting fugacity and activity coefficients in binary mixtures. Parameter selection was carried out based on preliminary results with different standard test functions. Different previously reported systems were selected, at 25 ° C and 40 ° C, and at low and moderate pressure levels. Moreover, two solutes were selected: carbon dioxide and ethane. Different solvents, both polar and nonpolar, were selected with comparative purposes. Activity and fugacity coefficients were calculated using the Redlich-Kwong state equation and Lewis rule, along with the sfhs algorithm, assuming both solutes in vapor phase. Consistency of the activity coefficients was analyzed by the Redlich-Kister strategy. Results were very close to those found experimentally by other authors, and most of them did not differ in more than one percentage unit.
Towards an activity taxonomy (ATx) from separation of concerns in use case modeling
Maria Lili Villegas Ramírez, César A. Collazos, William J. Giraldo, Juan M. González
Use cases (UC) have traditionally been applied by software development teams as a technical and administrative tool. From each of these perspectives, it is necessary to have a set of attributes to manage, because the information taken for the development of a software product contains information from both the system and the organization. If all this information is intended to be captured through the uc, probably what results is a significant increase in the complexity of its specification, which creates some level of confusion when using them. In this paper we propose the separation of business and technical elements, when drafting uc, using the ATx. We are introducing the ATx in modeling with uc to reduce its complexity and mainly to increase their effectiveness and usefulness in what has to do with the human computer interaction.
Miguel David Rojas López, Mariana Henao Grajales, Maria Elena Valencia Corrales
Lean Construction is a philosophy that changes the traditionalist thought in the construction area through innovative management systems based on the analysis of waste, planning activities in order to improve productivity at construction, eliminating activities that do not contribute to the result of the work. Lean Thinking techniques are implemented in Toyota enterprise to minimize waste in the supply chain and increase the value of the products. This review article shows the application of lean thinking processes at the construction area, illustrated with an example taken from a real process that may be part of supervision.
Towards a 3D modeling of brain tumors by using endoneurosonography and neural networks
Andrés Serna, Flavio Prieto
Minimally invasive surgeries have become popular because they reduce the typical risks of traditional interventions. In neurosurgery, recent trends suggest the combined use of endoscopy and ultrasound (endoneurosonography or ENS) for 3D virtualization of brain structures in real time. The ENS information can be used to generate 3D models of brain tumors during a surgery. This paper introduces a methodology for 3D modeling of brain tumors using ENS and unsupervised neural networks. The use of self-organizing maps (SOM) and neural gas networks (NGN) is particularly studied. Compared to other techniques, 3D modeling using neural networks offers advantages, since tumor morphology is directly encoded in synaptic weights of the network, no a priori knowledge is required, and the representation can be developed in two stages: off-line training and on-line adaptation. Experimental tests were performed using virtualized phantom brain tumors. At the end of the paper, the results of 3D modeling from an ENS database are presented.
A proposal for standardized data models and exchange information protocols applicable in centralized metering systems
Cristian Fernando Rodríguez Cardona, Bayron Andrés Calvache Vallejo, Eduardo Francisco Caicedo Bravo
The non-technical energy losses reduction strategies have stimulated the development of centralized metering systems (cms) in Latin America. Furthermore to include ami systems basic functions, the cms embed the measurement of multiple users in a cabinet. To avoid the utility customers getting access to the energy meter, each cabinet is mounted on top of an electrical pole. Currently, the major commercially available cms equipment is setting up with several technologies, which involves owner interfaces and data models. This issue generates an interoperability problem since international standards are based on measurement architectures for the use of individual meters. This paper proposes a set of both information exchange protocols and standardized data models that could be implemented in cms equipments.
Planning and production control in the medium term for textile industry model in a make to order environment
Gerson Arredondo Ortega, Kelly Vanessa Ocampo Jaramillo, Juan Pablo Orejuela Cabrera, Carlos...
In this paper a methodology for planning and control of production in the medium term is proposed for the textile industry sector in a make to order environment. The methodology is based on two phases arising from the characteristics of the production system. In the first phase, an aggregate planning model, which allows the calculation of quantities produced in the own workshop and the amount to outsource of clothes to work on so that it meets the economic objectives and obtain the greatest benefit for the industry in the planning horizon. In the second stage, an operations programming model is proposed, which aims at producing sequences for the quantities that need to be produced in the workshop so that the make span is reduced. The two proposed phases constitute an important tool to support decision-making on production management in the textile sector.
Improving Rural Early Warning Systems Through the Integration of OpenBTS and JAIN SLEE
Julián Eduardo Plazas, Juan Sebastián Rojas, Juan Carlos Corrales
Nowadays exists a trend that combines the features of Web 2.0 services and telecommunications services known as Telco 2.0. These converged services have been successfully implemented in early warning systems providing improved agility and flexibility in service delivery. However the deployment of converged services in rural zones of developing countries presents several constraints which do not allow to provide this kind of services, as the unavailability of a Next Generation Network (ngn), absence of advanced technology and lack of investment resources. This paper proposes a jain slee and OpenBTS integration architecture for early warning systems in rural zones. The implemented prototype is evaluated with a specific case study involving the deployment of Telco 2.0 warnings in Colombian coffee plantations which may be affected by coffee rust, one of the most threatening diseases in coffee production.