bluuebunny/crossref_metadata_2025_split huggingface dataset:
Actitudes hacia desmovilizados del conflicto armado en Colombia por parte de civiles y militares en uso de buen retiro, residentes en Bogotá
Authors: Macias Pulgarín Karen , Mendoza Paula Andrea , León Osorio Christian , Riveros Munévar Fernando , Vera Anderssen , Bernal Arleth Patricia , Reyes Liliana 
Published: November 2017

Objetivo: establecer las actitudes hacia los desmovilizados de la guerrilla por parte de civiles y militares en uso de buen retiro de Bogotá. Método: el estudio tuvo un alcance descriptivo, con un método de comparación de grupos, se seleccionó una muestra de 120 participantes, bajo un procedimiento no probabilístico, con edades entre los 40 a 60 años distribuidos en 60 militares en uso de buen retiro y 60 civiles, residentes en la ciudad de Bogotá, a quienes se les aplicó el cuestionario de Actitudes hacia Desmovilizados de la Guerrilla. Resultados: se encontró que el 84.1% de los participantes presentan una actitud positiva o neutra, y estadísticos de comparación superiores al 0,05, lo que permite afirmar en discusión que ambos grupos presentan actitud positiva hacia los desmovilizados de la guerrilla, y que no se encuentran diferencias significativas entre civiles y militares en uso de buen retiro, residentes en Bogotá. Conclusión: se afirma que el tener una actitud positiva, neutra o negativa no depende de la diferencia entre ser militar o civil.
La matriz estratégica de innovación (MEI) en el análisis de la situación externa para dos empresas sociales agrí­colas: los casos de sonora y nuevo león, México.
Authors: Arvizu Armenta Marisol , Borbón Morales Carlos Gabriel 
Published: November 2017

La empresa social es una alternativa que pudiera hacer operativa una polí­tica de desarrollo con base en la promoción del bienestar humano; según algunos autores como (Burlástegui, 2013) y (Yunnus, 2008), funciona como un esquema organizativo incluyente, promotor de derrama económica y empleo. No obstante que los trabajadores son co-propietarios, estas empresas perfilan su estrategia corporativa y la innovación como las claves para su desempeño competitivo, al igual que lo hacen las empresas tradicionales. El objetivo de este documento es analizar el comportamiento de variables externas relevantes que afectan el funcionamiento de este tipo de empresas; a través de la implementación de la técnica propuesta por (Aguilar, 1967) de la matriz PEST (Polí­tico-legales, Económicos, Socio-culturales y Tecnológicos). Para ello se utilizan dos ejemplos de empresas sociales productoras de tomate de exportación a mercados de Estados Unidos, que cuentan en su haber con tecnologí­a diferenciada de invernadero y arreglos organizacionales distintos.
El impacto en la toma de decisiones de mujeres y hombres que estudian una Ingenierí­a en la Universidad Politécnica de Guanajuato.
Authors: Valadez Hegler Rebeca del Carmen , Tinajero Ramí­rez Claudia , Rivera Vega Bernardo 
Published: November 2017

La presente investigación se refiere a un estudio realizado en la Universidad Politécnica de Guanajuato (UPG) en el año 2016, donde se logra responder a cuestionamientos especí­ficamente enfocados al impacto de la toma de decisiones de hombres y mujeres en participar en los programas de ingenierí­a que la institución ofrece, y qué motiva a las mujeres a seguir estos tipos de programas anteriormente limitados metafóricamente a hombres. La obtención de resultados se logra mediante un instrumento de medición validado y aplicado a una muestra representativa de los alumnos que actualmente cursan una de las seis ingenierí­as en la UPG, si las mujeres deciden libremente participar en estos programas y en general decidir sobre su vida y saber la tendencia en la opinión masculina acerca de la impresión que tienen respecto al tema. Los resultados presentados establecen tendencia positiva tanto en hombres como en mujeres. Ellas en participar de las ingenierí­as, y ellos en aceptar que las mujeres formen parte de estos programas y decidan libremente.
Diseño de un modelo de reingenierí­a parcial en marketing basado en empresas centradas en servicios
Authors: Navarro Alvarado Alberto , González Moreno Cynthia Dinorah , Martí­nez Farí­as Estefaní­a , Sánchez Beltrán Martha Irene 
Published: November 2017

El presente documento expone una propuesta centrada en la reestructuración organizacional basada en la reingenierí­a, pero partiendo de una acción parcial y no en el modelo tradicional. Se aplica un estudio en la ciudad de Puerto Vallarta a las organizaciones de alimentos y bebidas, buscando contrastar las expectativas de los clientes mediante un estudio de mercado y, por otra parte, las condiciones del mercado a través de un estudio sectorial. El resultado principal de la investigación busca proponer un modelo de aplicación en cinco etapas que facilite la implementación y control de modificaciones estructurales que le permita a las empresas, principalmente centradas en servicios, ofrecer productos con valor agregado a sus clientes y generar, en el largo plazo, entornos competitivos. Un enfoque muy importante que se expone es la aplicación sistemática y focalizada de métodos holí­sticos particularizando en situaciones especí­ficas, como lo hace la reingenierí­a parcial. La hipótesis principal que da sustento a la presente investigación establece la relación directa que se mantiene entre la mercadotecnia y la satisfacción del cliente en las empresas centradas en servicios, particularmente por el alcance estratégico de esta área en las empresas de alimentos y bebidas. Se concluye que la aplicación de reingenierí­a parcial en el área de marketing, contribuye a obtener impactos positivos en la satisfacción del cliente como una extensión inherente de un modelo centrado en el cliente.
Improving oral hygiene for stroke patients
Authors: Woon Caroline 
Published: November 2017

Abstract
In stroke nursing, oral hygiene is fundamental and should be a priority. Patients are more dependent on the nursing staff due to problems with cognition, arm weakness, a reduced conscious level, dysphagia or aphasia. Patients rely on nurses for oral care and are at a higher risk of xerostomia (dry mouth). Effective oral care removes plaque and prevents complications such as pneumonia which would increase patient length of stay. A lack of knowledge exists amongst nursing staff in the area of oral conditions and evidence based oral hygiene. Different practices exist based on traditions or experience and education is limited. A standardised assessment tool and oral hygiene guideline should be developed to support and ensure that effective oral hygiene occurs.
Fpga Modelling and Real-Time Embedded Control Design Via Labview Software: Application for Swinging-Up a Pendulum
Authors: Benrejeb Wael , Boubaker Olfa 
Published: November 2017

Abstract
In this paper, Real-Time embedded control is designed via LabVIEW software for swinging-up a pendulum from its pending position to its upright position. Since the pendulum system has a typical nonlinear instable model, the control problem is achieved using the Astrom-Furuta energy control strategy. To overcome the complexities for the design and the real-Time implementation of the controller of the nonlinear system, FPGA and Real-Time Modules of LabVIEW software are used. A validation test is finally achieved using Proteus software via its Virtual Simulation Models (VSM). Simulation results show the capabilities of LabVIEW FPGA and Real-Time modules to customize control applications with flexible time control without VHDL coding or board design.
Effect of Ceo2 Doping on the Structure, Electrical Conductivity and Ethanol Gas Sensing Properties of Nanocrystalline Zno Sensors
Authors: El-Sayed A. M. , Ismail F. M. , Khder M. H. , Hassouna M. E. M. , Yakout S. M. 
Published: November 2017

Abstract
Nanocrystalline sensors having the general formula ZnO + x wt% CeO2, where x = 0, 2, 4 and 6 were prepared by chemical precipitation method and sintered at 400, 600 and 800 °c for 2h in static air atmosphere. The crystal structure and the morphology of the prepared samples were investigated and characterized by using XRD, IR, SEM and TEM techniques. The investigation revealed that the average crystallites size increases with increasing the sintering temperature. The electrical conductivity is found to increase with CeO2 additions and sintering temperature. Gas sensing properties of the prepared samples were also investigated. The effect of CeO2 content and sintering temperature on the structure, electrical conductivity and ethanol gas sensing properties of the prepared samples are discussed.
Synthesis of Nanostructured ZrO2 for Gas Sensing Application
Authors: Patil Pratap G. , Kajale D. D. , Patil V. P. , Patil G. E. , Jain G. H. 
Published: November 2017

Abstract
Nanocrystalline ZrO2 (Zirconia) has been synthesized by a conventional precipitation method. The structural, morphological, microstructural, optical and gas-sensing properties of ZrO2 were investigated by using X-ray diffraction analysis (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), UV-vis spectroscopy and static gas sensing unit, respectively. X-ray diffraction pattern and TEM of the synthesized product reveal their nano-crystalline nature with grain size 18 nm and 20 nm, respectively. Gas sensing properties of their thick films, which were fabricated by screen-printing to various gases (O2, NO2, C2H5OH, CO, CO2, NH3, LPG, H2S and H2) were tested in ambient air. The ZrO2 thick films showed a high response and selectivity to H2S gas. The effect of operating temperature, gas concentration on the sensing characteristics of these films towards H2S was discussed..
An Appropriate Procedure for Detection of Journal-Bearing Fault using Power Spectral Density, K-Nearest Neighbor and Support Vector Machine
Authors: Moosavian A. , Ahmadi H. , Tabatabaeefar A. , Sakhaei B. 
Published: November 2017

Abstract
Journal-bearings play a significant role in industrial applications and the necessity of condition monitoring with nondestructive tests is increasing. This paper deals a proper fault detection technique based on power spectral density (PSD) of vibration signals in combination with K-Nearest Neighbor and Support Vector Machine (SVM). The frequency domain vibration signals of an internal combustion engine with three journal-bearing conditions were gained, corresponding to, (i) normal, (ii) corrosion and (iii) excessive wear. The features of the PSD values of vibration signals were extracted using statistical and vibration parameters. The extracted features were used as inputs to the KNN and SVM for three-class identification. The roles of PSD technique and the KNN and SVM classifiers were investigated. Results showed that the accuracy rate of fault diagnosis was 100%. Also, the results demonstrated that the combined PSD-SVM model had the potential for fault diagnosis of engine journal-bearing.
Comparative Study of Maximum Power Point Tracking using Linear Kalman Filter & Unscented Kalman Filter for Solar Photovoltaic Array on Field Programmable Gate Array
Authors: Ramchandani Varun , Pamarthi Kranthi , Chowdhury Shubhajit Roy 
Published: November 2017

Abstract
The paper proposes comparative study of Field Programmable Gate Array implementation of 2 closely related approaches to track maximum power point of a solar photovoltaic array. The current work uses 2 versions of kalman filter viz. linear kalman filter and unscented kalman filter to track maximum power point. Using either of these approach the maximum power point tracking (MPPT) becomes much faster than using the conventional Perturb & Observe approach specifically in case of sudden weather changes. In this paper comparative analysis of both the algorithms being implemented on FPGA is presented. Experiments have been performed under optimal conditions as well as under cloudy conditions i.e. falling irradiance levels. Using the linear kalman filter the maximum power point of a solar PV array has been tracked with an efficiency of 97.11% while using the unscented kalman filter technique the maximum power point of the same solar PV array is tracked with higher efficiency of 98.3%. However, the maximum power point has been tracked at a much faster rate i.e. 4.5 ms using the linear kalman filter approach as compared to the unscented kalman filter approach which tracks maximum power point at 11 ms which is in turn faster than existing generic Perturb and Observe approach which takes 15ms to track the maximum power point. The system has been implemented on Altera EP2C20F484C7 FPGA board.
Visual Attention Model with Adaptive Weighting of Conspicuity Maps for Building Detection in Satellite Images
Authors: Cretu A. M. , Payeur P. 
Published: November 2017

Abstract
The lack of automation and the limited performance of current image processing techniques pose critical challenges to the efficient and timely use of the large amount of data made available by aerial and space based assets. The imitation of fast adaptation and inference capability of human visual system appears to be a promising research direction for the development of computational algorithms able to deal with large variations in image content, characteristics and scale as those encountered in satellite imaging. The paper explores the potential use of an improved computational model of visual attention for the complex task of building identification in satellite images. It contributes to extend the envelope of application areas of such models and also to expand their current use from single object to multiple object detection. A set of original weighting schemes based on the contribution of different features to the identification of building and non-building areas is first proposed and evaluated against existing solutions in the literature. A novel adaptive algorithm then chooses the best weighting scheme based on a similarity error to ensure the best performance of the attention model in a given context. Finally, a neural network is trained to predict the set of weights provided by the best weighting scheme for the context of the image in which buildings are to be detected. The solution provides encouraging results on a set of 50 satellite images.
A Review on Applications of Optical Tomography in Industrial Process
Authors: Khairi M. T. M. , Ibrahim S. , Yunus M. A. M. , Faramarzi M. 
Published: November 2017

Abstract
This paper reviews some of the recent applications of optical tomography as a measurement tool for process parameters measurement such as flow concentration profiles, velocity profiles, and mass flow rate. The attentions that have been received by the optical tomography system for the applications of industrial parameters measurement are mainly because of the radiation safe emission of light sources to human or environment, fast response time, non-intrusive technique, and established models of light propagation through media or medium of interest thus making the solutions of forward and inverse problems to be relatively simpler to accomplish. The reports of the experimental result in this paper are mainly based on the previous works done by researchers in the area of optical tomography application where the main aspects are discussed. As a whole, the optical tomography can be applied to measure the velocity of beads in flow rig, measuring bubbles flow, flame imaging for combustion rate estimation, and flow concentration profile. Most of the applications as mentioned are discussed in this paper. In the final parts of this paper, independent component analysis (ICA) is suggested to measure the turbidity of liquid with the air-bubble flow in a vertical pipe column.
Lightweight Trusted ID-Based Signcryption Scheme for Wireless Sensor Networks
Authors: Li Zhimin , Xu Xin , Fan Zexiang 
Published: November 2017

Abstract
Wireless sensor networks (WSN) are usually deployed in hostile environments, which having a wide variety of malicious attacks. As various applications of WSN have been proposed, security has become one of the big research challenges dan is receiving increasing attention. In order to insure the security of communication in wireless sensor networks, we proposed a new ID-based signcryption scheme using bilinear pairing. Under the computational Diffie-Hellman assumption, the security of the scheme is proved under the Random Oracle Model. This scheme can be used by the sensor nodes that with low power, less storage space and low computation ability. It is concluded that the proposed lightweight scheme satisfies the security requirements of WSN.
Analysis of Land use Change Characteristics Based on Remote Sensing and Gis in the Jiuxiang River Watershed
Authors: Hu He-Bing , Liu Hong-Yu , Hao Jing-Feng , An Jing 
Published: November 2017

Abstract
Based on remote sensing and GIS technology, the remote sensing images from 2003 to 2009 were used to the basic data sources, to analyze the characteristics of land-use change in Jiuxiang River watershed. Results showed that watershed land use structure were changed greatly from 2003 to 2009; the proportion of arable land decreased from 34.86% to 19.52%, whereas other types of land use increased. The area of construction land increased most rapidly, from 17.80% to 25.80%.Spatial differentiations of land use changes were very obvious in Jiuxiang River watershed. The arable land was mainly converted to forestland and grassland in upstream region, and was mainly converted to construction land and forestland in midstream region. However, in downstream region, this type of land use was mainly converted to construction land. High farmland conversion rate in current period was contributed to rapid urbanization in Jiuxiang River watershed. Therefore, some measures must be initiated to achieve land resources sustainable use.
A Smart Current and Voltage Acquisition System with High Accuracy for Ev Applications
Authors: Haifeng Dai , Xiaolong Zhang 
Published: November 2017

Abstract
Energy management is one of the most important tasks of the electric vehicles (EV) and is totally different with the management in the traditional internal combustion vehicles (ICV). To implement a pleasing management, the system should know the working current and terminal voltage of the traction battery systems very accurately. This paper presents a design of a smart current and voltage acquisition system with high accuracy for EV applications. The detailed structure and components, the simulation and error analysis of the system are introduced. And to enhance the accuracy, a smart error correction is designed as well. Several tests are applied to evaluate the proposed system, and testing results indicate a good performance of the system, the maximum current error is less than 0.05A and the maximum voltage error is less than 0.02V.
A Model for Fuzzy Data Correalation of AIS and Radar
Authors: Chang Liu , Ming-zhi Cao , Feng Han , Gui-ming Shi , Ren-jie Liu 
Published: November 2017

Abstract
With the development of Automatic Identification System (AIS), more and more vessels are equipped with AIS device, which is a new tool for vessel monitoring and marine safety. In this paper, we compared the function of AIS and radar, the traditional tool for Vessel Traffic Service (VTS). And then we discussed the necessity of data fusion of the same target from the two sensors of AIS and radar. According to the characteristic and the difference of tracking performance of AIS and radar we proposed a fuzzy correlation method for target tracking and data fusion. The experiment shows that the proposed method is correct and efficient and it can improve the performance and the stability of VTS.
Home Real-Time Remote Monitoring System Based on Embedded Linux
Authors: Feijiang Huang , Zhaofeng Li , Xiaochun Lu , Guangcan Liu , Liping Sun , Yingde Wang , Weibing Chen , Xinle Xiao 
Published: November 2017

Abstract
Remote video monitoring is an important way of residential security. Due to some deficiencies of traditional home monitoring system such as high cost, large power consumption and difficult maintenance, this paper designs an economical and practical home real-time remote monitoring system. This system includes hardware design and software design. The hardware analyzes and compares the processor of different architectures to configure the model of microprocessors and the composition of peripheral circuits, and then identifies the S3C2440 chip as the system’s main controller. For the software part, this paper first studies the construction of embedded Linux system containing bootstrapper, kernel compile, files preparation system and transplantation; then it focuses on a detailed analysis of video capture module under Linux to present the main process of video capture under Linux when the USB camera is selected and design the video capture program based on the Video4Linux2 Linux programming interface; finally, it designs the B/S architecture-based video sending program for the video output module and achieves the real-time browse on a PC through a browser, thereby realizing the remote monitoring for residence. This system relies on the mature embedded technology and achieves the embedded Linux-based real-time remote monitoring system on the Mini2440 development board in accordance with the above design. Compared with the traditional monitoring system, this design has a lower cost and higher cost performance, so it is more practical for the home security.
Ballast Flying Mechanism and Sensitivity Factors Analysis
Authors: Jing G.Q , Zhou Y.D , Lin Jian , Zhang J. 
Published: November 2017

Abstract
Ballast flying problems obsess the ballasted high speed railway, its microscopic mechanics is less of discovered. In the paper, the railway ballast particle force equilibrium is analyzed through basic mechanics and mathematic formula, and a model is set up to discover the factors and influence. The microscopic ballast flying model is used for ballast bed geometry and ballast shape optimization, and guide the ballast flying countering methods. Results show that ballast flying particle is correlated with ballast shape and mass, especially the ballast shape mass ratio corresponds to operation speed. Ballast interlock ability governs the ballast flying possibility and severity. Ballast flying possibility increases with ballast bed acceleration. The paper focus on ballast particle force equilibration, shape and mass, under the condition of vibration and wind effects, the ballast flying mechanism is analyzed and discussed with related counteracting methods presented.
On-Board Lane Detection System for Intelligent Vehicle Based on Monocular Vision
Authors: Miao Xiaodong , Li Shunming , Shen Huan 
Published: November 2017

Abstract
The objective of this research is to develop a monocular vision system that can locate the positions of the road lane in real time. First, Canny approach is used to obtain edge map from the road image acquired from monocular camera mount on vehicle; Second, a matching process is conducted to normalize the candidates of road line; Third, a searching method is used for reinforce potential road lines while degraded those impossible ones; Forth, a linking condition is used to further enhance the confidence of the potential lane lines, and a K-means cluster algorithm is employed to localize the lane lines; Finally, a on board system is designed for experiment. The proposed system is shown to work well under various conditions on the roadway. Besides, the computation cost is inexpensive and the system’s response is almost real time.