bluuebunny/crossref_metadata_2025 huggingface dataset:
El Reembolso por los Consejeros Ejecutivos de la Retribución Variable
Authors: Sánchez-Calero Guilarte Juan
Published: February 2018

la retribución variable es la más cuantiosa con respecto a los consejeros ejecutivos. La experiencia ha acreditado la importancia de que la sociedad disponga de una acción específica para reclamar el reembolso de la retribución variable basada en documentos contables o financieros que en un momento posterior se pone de manifiesto que eran incorrectos o sencillamente falsos. Las llamadas cláusulas de reembolso sirven a esa finalidad.
Régimen jurídico de las sociedades profesionales (II): constitución, inscripción y régimen de responsabilidades
Authors: Díez Esclapez Rubén
Published: February 2018

En la primera parte del presente artículo se expusieron las líneas fundamentales del régimen jurídico-sustantivo de las sociedades profesionales, abordando el ámbito de aplicación y los requisitos del objeto social.En esta segunda parte se analizarán los requisitos de constitución e inscripción, presupuestos necesarios para el nacimiento en el mundo jurídico de estos peculiares operadores jurídicos. Asimismo, también se analizará el régimen de responsabilidades, desde el prisma tanto de la propia sociedad como de los socios profesionales, cuestión no pocas veces conflictiva.
La normalización de la aplicación de la cláusula “Rebus sic stantibus” según la jurisprudencia del Tribunal Supremo
Authors: González-Guimaraes Javier
Published: February 2018

Desde las SSTS del Pleno de la Sala de lo Civil de 17 y 18 de enero de 2013, y, posteriormente, con las SSTS de 30 de junio y 15 de octubre de 2014 y de 24 de febrero de 2015, hemos asistido a una verdadera eclosión de resoluciones judiciales que, de un modo u otro, han venido admitiendo a supuestos no tan excepcionales la cláusula “rebus sic stantibus”. Hasta entonces calificada como cláusula “peligrosa” y de “admisión cautelosa”.
Conflicto de Ley y Brexit
Authors: Constela Pablo
Published: February 2018

Las partes contratantes suelen seleccionar el foro inglés para la resolución de disputas en sus contratos internacionales. Una de las ventajas, además de los principios de “freedom of contract” y “business certainty”, es el reconocimiento de sentencias entre Estados de la Unión Europea, independientemente de la nacionalidad o establecimiento permanente de las partes. La decisión del “Brexit” tendrá gran repercusión sobre cláusulas de jurisdicción, derecho aplicable y la ejecución de sentencias en la Unión Europea. Existen diferentes posibilidades para Reino Unido.
La protección de la DOP cuando el producto amparado se utiliza como ingrediente: límites y uso indebido a la luz de la Sentencia del TJUE 20 de diciembre de 2017, C-393/16
Authors: BARBER GINER TOMÁS
Published: February 2018

Desde que se implementara en la Unión Europea el sistema sui generis de protección de figuras de calidad vinculadas al origen –que reconoce las denominaciones de origen protegidas (en adelante, DOPs) e indicaciones geográficas protegidas (en lo sucesivo, IGPs)-- han ido sucediéndose a ritmo lento las sentencias de los tribunales europeos que han desarrollado el contenido y los límites de dicha protección.
Compraventa internacional de mercaderías
Authors: Morales Villanueva Paloma
Published: February 2018

La compraventa internacional de mercaderías es aquella operación bilateral en que una de las partes, vendedor, se obliga a entregar a la otra, comprador, una cosa a cambio de un precio cierto en dinero o signo que lo represente, otorgando al contrato la categoría de internacional el hecho de que ambas partes deberán pertenecer a Estados diferentes. En cuanto a la ley aplicable a los contratos de compraventa internacional, en principio prima la autonomía de la voluntad de las partes. No obstante lo anterior, la normativa aplicable en las compraventas internacionales de mercancías es la Convención de Viena de Naciones Unidas de 11de abril de 1980 que se aplica solo a los países que se han adherido a la misma como fue el caso de España mediante instrumento de 17 de julio de 1990.
Calculation of Estimated Ultimate Recovery and Recovery Factors of Shale-Gas Wells Using a Probabilistic Model of Original Gas in Place
Authors: Richardson John , Yu Wei
Published: February 2018

Estimation of original gas in place (OGIP) in a rock volume provides an upper limit for the expected ultimate recovery. Calculation of OGIP for a drainage region may introduce significant errors when dependent on discrete values; the deterministic OGIP may be either overestimated (positively biased) or underestimated (negatively biased). For example, parameters such as porosity, water saturation, and adsorbed-gas density may vary spatially, which must be accounted for to obtain realistic OGIP estimations. Our objective was to develop a more-accurate OGIP model and use it to probabilistically asses OGIP, estimated ultimate recovery (EUR), and recovery factor (RF) for shale-gas reservoirs such as the Marcellus Shale. The conventional OGIP model was modified to include recent developments in shale geology and gas adsorption. Corrections are made by considering pore space occupied by adsorbed-gas phase, porosity, and water saturation in both matrix and fracture systems to obtain improved OGIP estimations. This change was assessed in the context of both the Langmuir (1918) and Brunauer-Emmet-Teller (BET) -isotherm (Brunauer et al. 1938) adsorption models. In addition, a 25-year EUR response-surface model was created using a comprehensive semianalytical model by capturing multiple gas-transport mechanisms such as gas desorption, slippage, diffusion, and non-Darcy flow. The OGIP and EUR models were coupled during Monte Carlo simulation to produce a more-accurate probability distribution for RF. Using the prospective land area in the entire Marcellus Shale, the total P50 OGIP, P50 EUR, and P50 RF were determined as 1,313 Tcf, 492 Tcf, and 38%, respectively.
The complications of jejunostomy tubes for patients receiving Duodopa: New challenges for neuroscience nurses
Authors: Mackinnon Rachael Elizabeth
Published: February 2018

The use of Duodopa ® Levodopa-Carbidopa intestinal gel offers patients with advanced Parkinson’s disease (PD) an effective alternative therapy for the treatment of severe motor fluctuations and dyskinesia. This therapy requires the use of percutaneous endoscopic gastrostomy/jejunostomy tube (PEG/J) to deliver gel directly into the jejunum which poses new challenges for neuroscience nurses for the care and management of patients with PD. Due to the reported number of complications associated with PEG/J our facility opted to use a direct jejunostomy tube for the first of two PD patients which resulted in an adverse outcome for our 80 year old patient. This experience highlighted that the neuroscience nurses need to increase knowledge and understanding of PEG/J and jejunostomy care as more future patients will be treated with Duodopa, and that future studies regarding the safety and value of the direct jejunostomy tubes are warranted.
Both Sides of the Counter
Authors: Smith Gilly
Published: February 2018

Background

The Motor Neurone Disease (MND) Association of Western Australia provides information, education and advocacy for people living with MND. The role and function of the personnel who provide this service has not been described in the literature and is therefore poorly understood by both healthcare professionals and the public.

Purpose

To describe the role and function of the West Australian Motor Neurone Disease Association (MNDA [WA]) Care Advisors (CAs).

Method

Ethnographic observation of seven MNDA (WA) CAs in their normal daily setting. Interviews with end users of CA service (people living with MND and their carers). Analysis of the observations and interview transcripts was undertaken to identify themes.

Findings

The CAs were observed to undertake their supportive role with passion. Clarity around the role and function was ambiguous, even amongst the people in the roles. It is suggested this is due to limited formalised processes and procedures in an organisation that has moved from originally being run by volunteers through to a professional not-for-profit organisation. This in turn led to issues in recruitment and retention, clinical knowledge versus clinical care and demonstrating capabilities against Key Performance Indicators (KPI’s) for reporting to funding bodies.

Conclusion

Multiple opportunities were highlighted during this study for these service providers to develop robust procedures to record the nature of their work, develop resilience in their work place, and ensure ongoing professional develop processes are engaged.
Both Sides of the Counter
Authors: Woodhouse Colin
Published: February 2018

Colin is a neuroscience Registered Nurse originally from the United Kingdom (UK). He had his first seizure in the UK. He and his family emigrated to Christchurch, New Zealand in 2007. Whilst at work on the neuroscience unit, Colin had another seizure resulting in a significant head injury. He was in rehab when the deadly Christchurch earthquake hit. Both Sides of the Counter covers his experience as a neuroscience nurse caring for others and then how things can quickly change - as a neuroscience patient with a head injury. This is his story.
Effectiveness of the Sitting Position Without Back Support
Authors: Okubo Nobuko
Published: February 2018

Purpose

In the field of neuroscience nursing in Japan, the “sitting position without back support” (SB) has promoted earlier ambulation, improved level of consciousness, and prevented disuse syndrome in patients with disturbance of consciousness and impaired mobility. This research was conducted with the aim of examining if respiratory function improved using SB on acute patients on ventilation in ICU.

Method

The research design involved daily administration of SB to 10 participants in a controlled trial to compare respiratory function before, during, and after implementation. The measurement indexes were respiratory functions such as tidal volume and lung compliance value and the number of incidences that occurred during implementation, and tools such as APACHE II were used to measure deteriorations of physical condition. Analysis used non-parametric and parametric methods and an alpha level of 0.05 was used for all statistical tests.

Results

Tidal volume and lung compliance value during SB implementation significantly increased, compared to before and after implementation. There were no incidents such as decannulation during implementation, and APACHE II scores were seen to significantly drop after the commencement of SB until discharge from ICU. However, a decline in pulse rate and blood pressure were seen during implementation of SB (4.8%).

Conclusion

The sitting position without back support administered to acutely ill patients on a ventilator was effective in improving respiratory function. In the future, there is a need to create a nurse’s assessment guide for implementation of SB and test the SB on a larger population.
The lived experience of adults with myasthenia gravis: A phenomenological study
Authors: Keer-Keer Trudy
Published: February 2018

Myasthenia gravis (MG) is a disorder of the neuromuscular junction (NMJ) that causes fatigue and fluctuating muscle weakness (Hickey, 2009). The physiology of this disease is well understood and there are numerous medically focused articles that outline historical data, randomized controlled trials of treatment options and unusual case studies. The nursing literature about MG is limited and dated.

The aim of this study was to examine and understand the lived experiences of adults with MG. An interpretive phenomenological approach has been used that applies the research methodology of van Manen (1990). Seven people living with MG were interviewed and their experiences of the disease recorded. Questions were broadly worded about various topics related to MG and were guided by individual experiences. Thematic analysis revealed that MG affects every aspect of a person’s ‘lifeworld’: their sense of time, body, space and their relationships with others.

The findings of this study highlight three main themes embedded in the data that a person with MG experiences: living with uncertainty, living with weakness and living with change. These experiences have been interpreted and discussed to gain a deep understanding of the meaning of the disease. This study raises awareness of MG for neuroscience nurses and provides a unique view of this disease.
Mild Traumatic Brain Injury: Adapting to Consequences
Authors: Petchprapai Nutthita
Published: February 2018

Mild traumatic brain injury (mTBI) affects more than 28,000 individuals annually in Thailand; however, little information about outcome after mTBI is known. This investigation aimed to explore consequences of mTBI among Thai adults who experienced mTBI in the previous 3-12 months.

A sample of 135 adults was interviewed. Subjects were typically men, middle aged and approximately half were married. All completed the compulsory level of education in Thailand and were in the low income bracket. Subjects had Glasgow Coma Scores 14/15 at 30 minutes after injury and 15/15 (full score) after 3 days. Subjects reported low post-concussion symptoms scores and few depressive symptoms. All subjects worked or studied before the injury and almost of them returned to normal lives at the time of interview. However, 18% did experience moderately severe disability and 1.5% suffered severe disabilities.

Future studies with longitudinal, comparison, or predictive methodology with reduced but relevant variables are suggested. Measures used in this study demonstrated reliability, supporting their use in Thailand. Providing health education and printed information regarding outcomes and disability after mTBI is recommended. Further study of the small but clinically important percentage of subjects who experience ongoing disability after mTBI is needed.
Timely Anticoagulant Thromboprophylaxis is Safe and Effective in the Care of Patients Suffering Traumatic Brain Injury
Authors: Micallef Kandace
Published: February 2018

Despite the high prevalence and associated morbidity of Venous Thromboembolism (VTE) development, thromboprophylaxis in the neurosurgical setting remains a source of contention due to concerns of iatrogenic haemorrhage progression associated with anticoagulant thromboprophylaxis. Opinions of ideal time to initiate chemical prophylaxis for VTE within the neurosurgical community vary between clinicians. It is nevertheless rarely disputed that timely and appropriate prophylaxis of VTE reduces morbidity. This review aims to determine the safety and efficacy of chemical VTE prophylaxis within the neurosurgical setting. The consequences of VTE can be devastating and patients with neurotrauma are amongst those at greatest risk. With this in mind, the neuroscience nurse must be meticulously conscientious for the prevention of VTE in the neurosurgical setting. The neurosurgical nurse has a close affiliation to the patient, is often the first to observe the clinical signs and symptoms associated with VTE, is responsible for implementing prevention strategies and assisting with treatment for those who unfortunately develop a Deep Vein Thrombosis or Pulmonary Embolism (PE).
Top of the Charts: Detecting neurological deterioration more efficiently through improved documentation
Authors: Carey Rhiannon , Holland Christine
Published: February 2018

The Glasgow Coma Scale is a practical tool, accepted and utilised worldwide, to assess a patient’s conscious level. Despite the introduction of other tools, the Glasgow Coma Scale still remains the most reliable and effective method of detecting neurological deterioration.

Detecting neurological change in an individual requires skilled observation and must rely on the ability of the clinician to carry out an accurate and reliable assessment. A large limitation of the Glasgow Coma Scale is that observer assessments may vary from clinician to clinician. What one individual may observe as neurological deterioration, another may not notice.

It was recognised by senior nursing staff that if a neurological chart could be designed, that enhanced the ability to see the trends in a patient’s conscious level and instructed clinicians on when to report a finding, deterioration may be identified earlier and managed more efficiently.

This study outlines a new neurological chart implemented at a busy private hospital in Melbourne and discusses the impact that clear and concise observation and documentation has on the ability to detect neurological deterioration.
The EPIC (Excellent Practice in Communication) Project. Neurosurgical Nursing Clinical Handover Improvement Practices among acute inpatients: a Best Practice Implementation Project
Authors: Wright Kylie M.
Published: February 2018

The nursing handover normally occurs at the beginning of a nurse’s shift and is considered essential for continuity of care. Nursing handover has the potential to communicate accurate information about a patient’s condition, treatment and anticipated needs but also has the potential to be ineffective or even harmful if information is incomplete or omitted. The Australian Commission on Safety and Quality in Health Care (ACSQHC) has recognised clinical handover as a National Standard, thus reinforcing its importance.

This project aimed to conduct an audit of nursing clinical handover practices, to implement evidence-based best practice recommendations and to maximise the effectiveness of clinical handover in a neurosurgical unit of a large tertiary hospital.

The project used the Joanna Briggs Institute’s (JBI) Practical Application of Clinical Evidence System (PACES) and Getting Research into Practice (GRiP) audit tool for promoting change in healthcare practice. A baseline audit of 30 observations of nursing clinical handover was conducted and measured against seven best practice recommendations, followed by the implementation of targeted strategies and follow up audits.

The baseline audit revealed deficits between current practice and best practice in four of the seven criteria. Barriers for implementation of nursing clinical handover best practice criteria were identified by the project team and a neuroscience specific nursing handover framework and bundled education strategy was implemented. There were improved outcomes across the best practice criteria in the follow up audit.

The findings showed how audit may be used to promote best practice in healthcare and that focussed education and provision of relevant resources can have an immediate and positive impact on clinical practice. Some of the measured criteria improved to a moderate degree, leaving plenty of room for improvement, however by the end of the project attitudes towards nursing clinical handover had been ‘transformed’ from a passive, routine ‘must do’ task, to an active process with a focus on safety and patient/carer engagement. Future audits are planned to ensure sustainability.
A Neurological Integrated Care Pathway
Authors: McCoy Kathleen , Chan Harriet
Published: February 2018

Objective

To assess the feasibility of service integration for neurological care.

Design

Observation study

Participants

A total of 104 admissions for 92 neurological patients treated in a major region hospital and suitable for discharge home were eligible for participation.

Intervention

A neurological integrated care pathway (NICP) was trialled at a major regional hospital between July 2012 and June 2013. Objective data included patients, gender, age, diagnosis, length of hospital stay, referral dates, discharge dates, dates when patients were seen by the community neurological liaison nurse, and readmissions were collated for analyses.

Outcome measures

Targeted outcomes included the estimated service impact on the hospital in terms of reduced length of hospital stay and decreased readmissions and increased referral rate to community neurological support service, and quality of patient care.

Results

The trial saw an increase in efficiency and standard of care despite growth in patient numbers. The CNLN attended to 104 recorded referrals (more than 17 times the number of referrals in 2011), all within 7 days of their referral date (a 77.4% decrease compared to 2011 where patients were attended to up to 31 days). In addition, the average length of hospital stay had decreased significantly from 26 days in 2011 to 9 days (a 65.4% decrease) with a low rate of re-admission (approximately 11.5%).

Conclusion

The NICP improved service efficiency for both the hospital system and the community neurological support service, with high levels of patient satisfaction. In this case the NICP achieved best value from existing resources and provided a viable model of service delivery for chronic neurological conditions.
Does duration and sampling of external ventricular drainage systems influence infection rate?
Authors: Moyo Nomathemba
Published: February 2018

External ventricular drainage systems are often necessary in neurological and neurosurgical patients. The purpose of this literature review is to review the problem of external ventricular drain related infections resulting from repeated cerebrospinal fluid sampling and manipulation of the drain systems. The aim is to provide an appropriate improved protocol for care of patients undergoing external ventricular drainage treatment. Routine analysis of cerebrospinal fluid is often performed to diagnose external drainage related bacterial meningitis at an early stage. Nurses are routinely instructed to collect cerebrospinal fluid from ventricular catheters for analysis. Does the way in which sampling occurs relate to increased infection?

This literature review will discuss that prophylactic frequent cerebrospinal fluid sampling is of no benefit and increases infection risk and should be limited. It will also provide evidence that duration of the external ventricular drain (EVD) systems does not correlate with infection and therefore the EVD should stay insitu for as long as clinically needed or be removed if infected.
Leptomeningeal Carcinomatosis: Cerebral spinal fluid tumours
Authors: Stone Megan
Published: February 2018

Leptomeningeal Carcinomatosis (LC) is the dissemination of cancer, commonly breast, lung, melanoma, acute lymphoblastic leukaemia and Non-Hodgkin lymphoma occurring through either direct extension from surrounding tumours or metastasis of a preexisting, parenchymal central nervous system tumour. A rise in the diagnosis of leptomeningeal disease has been seen with increased survival rates of cancer due to improved medical treatment, with 5-8% of patients with cancer going on to develop LC.

Leptomeningeal Carcinomatosis spreads to the meninges, the outer covering of the brain and spinal cord, directly migrating into the cerebral spinal fluid (CSF), arachnoid and pia mater. This migration of tumour cells occurs throughout the arachnoid vessels or choroid plexus into the surrounding outer layers extending into the CSF. On entry into the CSF, tumour cells are infiltrated in a diffuse or multifocal manner where the leptomeninges cover the surface of the brain and spinal cord. This covering causes the meninges to become irritated causing patients to exhibit signs of photophobia, neck stiffness, neurological decline and cranial nerve defects. LC has a significant morbidity and mortality rate with a median survival of 4-6 weeks if untreated and 2-3 months if treated. Diagnosis is based on analysis of the cerebral spinal fluid, through detection of positive cytology of LC tumour cells, elevated protein and CSF pressures. Magnetic resonance imaging findings identify areas of meningeal enhancement indicative of meningeal irritation.

The neuroscience nurse role in the patient care includes providing a supportive environment and thorough assessment of vital and neurological signs. Treatment aims to improve or maintain a patient’s neurological status while prolonging survival and palliation. The literature review will highlight the diagnosis, progression and treatment for LC to further increase awareness and inform neuroscience nurses of increasing trends in management.
Temperature Control of a Continuous Stirred Tank Reactor by Means of two Different Intelligent Strategies
Authors: Rahmat Mohd Fua’ad , Yazdani Amir Mehdi , Movahed Mohammad Ahmadi , Mahmoudzadeh Somaiyeh
Published: February 2018

Continues Stirred Tank Reactor (CSTR) is an important subject in chemical process and offering a diverse range of researches in the area of the chemical and control engineering. Various control approaches have been applied on CSTR to control its parameters. This paper presents two different control strategies based on the combination of a novel socio-political optimization algorithm, called Imperialist Competitive Algorithm (ICA), and concept of the gain scheduling performed by means of the least square and fuzzy logic approaches. The goal is to control the temperature of the

CSTR in presence of the set point changes. The works followed with designing those controllers and simulating in MATLAB software. The performance of the proposed controllers have been consider based on the Sum of the Square Error (SSE) and Integral Absolute Error(IAE) Criteria. The results clearly indicate that both suggested control strategies offer an acceptable performance with respect to the functional changes of the process. In other word, robustness of the proposed methods in dealing uncertainties throughout the tracking of the reference signal take the highlighted point into account. Furthermore, fuzzy based structure strategy gives the more flexibility and precise behavior in control action in comparison to the least square based approach.
Particles Mass Flow Rate and Concentration Measurement using Electrostatic Sensor
Authors: Rahmat Mohd Fua’ad , Tajdari Teimour
Published: February 2018

In many industries where flow parameters measurement is essential to control manufacturing process, the use of a reliable, cost effective and high accuracy instrument is an important issue. Appropriate measurement method and design leads to improvement of pneumatic conveyors operation and process efficiency. This paper present an instrumentation design based on passive charge detection using a single electrostatic sensor. Two different sensor electrodes are applied to show the flexibility of electrostatic sensor application. A time domain signal processing algorithm is developed to measurement of mass flow rate and concentration profile from acquired electrical charge signal. The findings is led to a low cost and high accuracy design, the experimental test results of the design shows less than ±5% error between measured parameters and reference reading acquired from the manual weighing.
Lactate Detection using Microwave Spectroscopy for In-Situ Medical Applications
Authors: Goh J. H. , Mason A. , Al-Shamma’a A. I. , Field M. , Browning P.
Published: February 2018

Lactate is an indicator of neurological impairment during aortic aneurysm surgery, and thus its detection could provide the basis for improved treatment regimes, better quality of care, and enhanced resource efficiency within the UK National Health Service (NHS). This article considers the use of low power microwave sensors to detect varying lactate concentrations in distilled water; sample sizes of 10ml and 0.5ml are considered via two sensor designs. Microwave sensors provide a rapid non-invasive method of material analysis, which is robust and cost-effective, in addition to harbouring huge potential for a wide range of biomedical applications.
Biologically-Inspired Visual Attention Features for a Vehicle Classification Task
Authors: Cretu A.-M. , Payeur P.
Published: February 2018

The continuous rise in the number of vehicles in circulation brings an increasing need for automatically and efficiently recognizing vehicle categories for multiple applications such as optimizing available parking spaces, balancing ferry loads, planning infrastructure and managing traffic, or servicing vehicles. This paper explores the use of human visual attention mechanisms to identify a set of features that allows for fast automated classification of vehicles based on images taken from 6 viewpoints. Salient visual features classified with a series of binary support vector machines and complemented by a dissimilarity score achieve average classification rates between 94% and 97.3% for five-category vehicle classification depending on the combination of viewpoints used. The viewpoints that make the most important contribution to the classification are identified in order to decrease the implementation cost. The evaluation of performance against other feature descriptors and various approaches for vehicle classification shows that the proposed solution obtains results comparable to the best ones reported in the literature.
Effects of Placement Errors on Performance of VLF Metal Detector Heads
Authors: Carter Lawrence J. , Tang Zhuoran
Published: February 2018

Metal-detector performance depends heavily on the sensor head. Errors in coil placement within the head can lead to degradation in detector performance. Electromagnetic modelling of typical very-low-frequency detector heads shows the effect of coil placement errors on detector sensitivity. Provided the bucking coil ‘tracks’ the receive coil, required error corrections can remain small. A correctly-aligned head could detect a gold ring target at a range of about 12 cm.
Outlier Detection Based On Similar Flocking Model In Wireless Sensor Networks
Authors: Chunling Cheng , Hao Wu , Zhihu Yu , Dengyin Zhang , Xiaolong Xu
Published: February 2018

Outlier detection plays a crucial role in secure monitoring in Wireless Sensor Networks (WSN). Moreover, outlier detection techniques in WSN face the problem of limited resources of transmission bandwidth, energy consumption and storage capacity. In this paper, similar flocking model is proposed and a cluster algorithm based on similar flocking model (CASFM) is put forward to detect outliers in real-time stream data collected by sensor nodes. The similar flocking model improves the Vicsek model by introducing the similarity between individuals and velocity updating rule, which causes similar objects to cluster quickly. In order to save energy, CASFM algorithm preprocesses similar data on the sending sensors first, which greatly reduces the transmission of similar data. So the communication overhead is decreased. With the characteristics of self-organization and fast convergence of flocking model, stream data can be clustered quickly. The experimental results show that the proposed algorithm can detect outliers effectively with less energy consumption.
Bridge Deflection Measurement Using Wireless Mems Inclination Sensor Systems
Authors: Yu Yan , Liu Hang , Li Dongsheng , Mao Xingquan , Ou Jinping
Published: February 2018

Bridge is an important part of modern transportation systems and deflection is an important index for bridge’s safety evaluation. In this paper, a method of deflection measurement using Wireless MEMS Inclination Sensor Systems (WMISS) is presented and validated. Firstly, based on various bridge deflection measuring methods, the method of deflection measurement using inclination parameter is introduced. Secondly, a low-power wireless inclination sensor based on 3D-MEMS SCA60 inclinometer is designed using modularization way, and this kind of wireless sensor loaded with ZigBee/IEEE 802.15.4 MAC protocol stack can self-organize wireless sensor network, measure the angle value and send the data to the coordinator. Then the deflection curve is displayed on PC. Finally, deflection measurement experiments are conducted on a bridge model and Beida Bridge. The experimental results show that, the presented deflection measurement method is feasible, practical and reliable; the wireless inclination sensor is easy to operate with no lines, and has extensive and broad application prospects.
A Viable Capacitive Approach for Damage Detection of Aircraft Composite Material
Authors: Ensheng Dong , Yilin Jiang , Wei Guo , Xiangbin Yu
Published: February 2018

Military and Commercial aircraft are being constructed by more and more advanced composite materials. In order to prevent catastrophic failure any damage in aircraft composite material should be detected as soon as possible. The relations of the electrode length, the electrode width, and the space between electrodes to the testing sensitivity of the uniplanar double electrodes are investigated. A three dimensions model of the uniplanar capacitive sensor with 8 electrodes is founded and the optimization for the structure parameters of the sensor with 8electrodes is carried out. According to the optimization, a uni-planar capacitive sensor, with 8-electrode on one plane substrate and a ground screen electrode and the screen between electrodes, is designed to get the corresponding capacitance information of the measured composite material slab. 2 aircraft composite material slabs, one is healthy and the other is notched, are used as a sample for the experiment of detecting the damages. The preliminary experimental results show that the measured capacitances decrease after damage occurs in aircraft composite material and that the proposed approach can effectively detect the damage of aircraft composite material. The proposed approach is a viable technique for in-situ damage detection of aircraft composite material.
The Fast Method for Correction of Distortion on Infrared Marker-Based Tracking System
Authors: Wang Haibin , He Qing , Guan Guan , Leng Bin , Zeng Dewen
Published: February 2018

This paper adopts ordinary CCD cameras and IR filters to constitute IR cameras for a marker-based quadri-ocular tracking system. However, the IR filters will affect the accuracy of the tracking system. Therefore, this paper analyses the refraction of IR filters and finds IR filters will bring about the biggish radial distortion on imaging process. And then, this paper directly uses Zhang’s technique to calibrate the parameters of IR cameras in infrared environment by adjusting the imaging conditions of calibration. To improve the accuracy and satisfy the real-time requirement of the tracking system, a real-time method to correct the radial distortion is proposed in this paper. The experiments show that the speed of the correction method is satisfactory, and the accuracy of tracking system is effectively improved by the method.
Adaptive Dynamic Clone Selection Neural Network Algorithm for Motor Fault Diagnosis
Authors: Hongbing Wu , Peihuang Lou , Dunbing Tang
Published: February 2018

A fault diagnosis method based on adaptive dynamic clone selection neural network (ADCSNN) is proposed in this paper. In this method the weights of neural network is encoded as the antibody, and the network error is considered as the antigen. The algorithm is then applied to fault detection of motor equipment. The experiments results show that the fault diagnosis method based on ADCS neural network has the capability in escaping local minimum and improving the algorithm speed, this gives better performance.
Automated Mobility and Orientation System for Blind or Partially Sighted People
Authors: Alshbatat Abdel Ilah Nour
Published: February 2018

Currently, blind people use a traditional cane as a tool for directing them when they move from one place to another. Although, the traditional cane is the most widespread means that is used today by the visually impaired people, it could not help them to detect dangers from all levels of obstacles. In this context, we propose a new intelligent system for guiding individuals who are blind or partially sighted. The system is used to enable blind people to move with the same ease and confidence as a sighted people. The system is linked with a GSM-GPS module to pin-point the location of the blind person and to establish a two way communication path in a wireless fashion. Moreover, it provides the direction information as well as information to avoid obstacles based on ultrasonic sensors. A beeper, an accelerometer sensor and vibrator are also added to the system. The whole system is designed to be small, light and is used in conjunction with the white cane. The results have shown that the blinds that used this system could move independently and safely.
Electronic Track Map Building for Satellite-based High Integrity Railway Train Positioning
Authors: Jiang Liu , Baigen Cai , Jian Wang
Published: February 2018

The concept of electronic track map has been introduced and researched in many satellitebased railway train positioning and location-based railway systems. It should characterize the railway tracks and their key objects and facilities with a satisfied accuracy and completeness. Based on the application requirements, design and building of the electronic track maps should be in accordance with the map matching approach, and moreover, considering the integrity effect that is decisive to safety. This paper introduces a paradigm for electronic track map design and generation. According to the satellite-base train positioning scheme, the architecture of the electronic track map and its coupling in the train-borne systems is investigated. Detailed track map generation method is summarized as a five-step process, including raw measurement collection, rejection of abnormal measurement, feature points extraction, track interpolation, and topographic property supplement. Following this approach, the map matching with high integrity is discussed where the statistics of matching residual is adopted to improve the direct error analysis. Practical measurements and field test results demonstrate the capability of the presented track map building and integrity monitoring approaches. That provides great potential to implementation of satellite navigation in railway applications and services.
Design And Characterization Of Automated Color Sensor System
Authors: Assaad Maher , Yohannes Israel , Bermak Amine , Ginhac Dominique , Meriaudeau Fabrice
Published: February 2018

The paper presents a color sensor system that can process light reflected from a surface and produce a digital output representing the color of the surface. The end-user interface circuit requires only a 3-bit pseudo flash analog-to-digital converter (ADC) in place of the conventional/typical design comprising ADC, digital signal processor and memory. For scalability and compactness, the ADC was designed such that only two comparators were required regardless of the number of color/wavelength to be identified. The complete system design has been implemented in hardware (bread board) and fully characterized. The ADC achieved less than 0.1 LSB for both INL and DNL. The experimental results also demonstrate that the color sensor system is working as intended at 20 kHz while maintaining greater than 2.5 ENOB by the ADC. This work proved the design concept and the system will be realized with integrated circuit technology in future to improve its operating frequency.
Precise Transhippment Control Of An Automated Magnetic-Guided Vehicle Using Optics Positioning
Authors: Wu Xing , Lou Peihuang , Shen Ke , Peng Guangqing , Tang Dunbing
Published: February 2018

A parking position detection and control system is developed for precise transshipment of palletized materials between an automated guided vehicle (AGV) and a load transfer station. In order to align the roller conveyer of the AGV with that of the station, it is necessary for the AGV to detect the longitudinal, lateral and orientation deviations of its body with respect to the station. A pair of magnetic sensors is used to measure the lateral and orientation deviations of the AGV relative to a magnetic tape used as the guide-path. Fuzzy control is proposed to eliminate two deviations for path tracking that keeps the AGV on its path. A set of optics emitters and receivers is arranged on some specific points in the AGV and the station respectively to determine the longitudinal position for material transshipment, and to coordinate the transmission operation of two equipments. The experiment for the palletized materials transshipment shows that positioning control of our AGV parking system can achieve the accuracy, repeatability and reliability needed in industrial applications.
An Artificial Immune Network Clustering Algorithm For Mangroves Remote Sensing Image
Authors: LUO Yanmin , LIU Peizhong , LIAO Minghong
Published: February 2018

Because of not needing training samples and performing the classification just according to the inherent similarity of data in the multidimensional space, unsupervised classification method now gets more and more attention by remote sensing data analyst. Duo to the special growth environment of mangroves, field measurements is difficult to be done to obtain training samples. Therefore unsupervised method provides a good adjunct way for the classification of mangroves remote sensing image. This paper presents an immune network based unsupervised classification method, which is not necessary to define complex objective function. By arbitrarily selecting a certain number of data to be training samples, the proposed algorithm mines the prior knowledge of the samples and selects a few samples to constitute the initial nodes of immune network. After the evolutionary of the immune network, the clustering results are obtained, combined with nearest neighbor classification mechanism, the classification is performed. The experiment results show that the proposed algorithm has better overall stability and can get better clustering result for mangroves remote sensing image than traditional clustering methods.
An Intelligent Flood Control Decision Support System For Digital Urban Management
Authors: Chen Guanlin , Sun Xinxin , Li Shengquan , He Jiang , Zhang Jiawei
Published: February 2018

Digital Urban Management has become a trend in the development of contemporary cities. This paper presents the design and implementation of an intelligent flood control decision support system (IFCDSS) using statistical analysis to determine the relationship between the data, and integrate data mining technology for digital urban management based on Java EE. The system also provides location-based decision making in urban management by using the Baidu Maps API.
Nanostructured Znco2o4Thick Film As An Ethanol Sensor
Authors: Bangale S. V.
Published: February 2018

Semiconductive nanometer-size material ZnCo2O4 was synthesized by a solution combustion reaction of inorganic reagents of Zn(NO3)3. 6H2O, Co(NO3)3.6H2O and glycine as a fuel. The process was a convenient, environment friendly, inexpensive and efficient preparation method for the ZnCo2O4 nanomaterial. The synthesized materials were characterized by TG/DTA, XRD, EDX, SEM, and TEM. Conductance responses of the nanocrystalline ZnCo2O4 thick film were measured by exposing the film to reducing gases like Acetone, Ethanol and CO2. It was found that the sensors exhibited various sensing responses to these gases at different operating temperature. Furthermore, the sensor exhibited a fast response and a good recovery. The results demonstrated that ZnCo2O4 can be used as a new type of gas-sensing material which has a high sensitivity and good selectivity to Ethanol 200 ppm.
Perceptual Hashing Algorithm For Speech Content Identification Based On Spectrum Entropy In Compressed Domain
Authors: Qiu-yu Zhang , Yang-wei Liu , Yi-bo Huang , Peng-fei Xing , Zhong-ping Yang
Published: February 2018

This paper proposes a new perceptual hashing algorithm for speech content identification with compressed domain based on MDCT (Modified Discrete Cosine Transform) Spectrum Entropy. It aims primarily to solve problems of large computational complexity and poor real-time performance that appear when applying traditional identification methods to the compressed speeches. The process begins by extracting the MDCT coefficients, which are the intermediately decoded results of compressed speeches in MP3 format. In order to reduce the computational complexity, these coefficients are divided into sub-bands and the energy of MDCT spectrum is then calculated. Subbands of MDCT spectrum energy are then mapped to a similar mass function in information entropy theory. The function will be used as a perceptual feature and set to extract binary hash values. Experimental results show that the proposed algorithm keeps greater robustness to content-preserving operations while also maintaining efficiency. As a result of the partial decoding process, the real-time performance can meet the requirements of applications in real-time communication terminals.
Analysis Of Diesel And Rapeseed Methyl Ester Properties In Ceup Fuel Pipeline Using Frequency Dependent Damping Model
Authors: Hayat Qaisar , Liyun Fan , Enzhe Song , Ma Xiuzhen , Bingqi Tian , Farouk Naeim
Published: February 2018

abstract

During a fuel injection cycle pressure inside Combination Electronic Unit Pump (CEUP) fuel injection system varies from low (~50 bars) to very high (~1500 bars) in fractions of seconds depending on the operating conditions. Physical properties of fuel including density, acoustic wave speed and bulk modulus also vary as a function of rapidly varying fuel pressure. A detailed analysis of these key fuel properties with our improved frequency dependent model with viscous damping developed in MATLAB is presented for both diesel and biodiesel fuel Rapeseed Methyl Ester (RME). Quantitative analysis of developed model confirms that model predictions are quite realistic and accurate across range of operating conditions of diesel engine.
Torque Measurement During Body Cavity Entry Using A Threaded Visual Cannula
Authors: Bakirtzian A. , Ternamian A. , Manson G. , Tremblay L. , Benhabib B.
Published: February 2018

abstract

Port creation is one of the most common complications associated in endoscopic procedures. The focus of our study was to establish a reproducible method of determining the torque profile generated during body cavity entry using a Threaded Visual Cannula (TVC). A TVC was evaluated on 32 samples of foam media. A torque profile was generated by measuring the torque required to cannulate the foam media. Penetration of the media was captured by a digital imaging system. The magnitude of torque to required cannulate the foam media was dictated by the amount of friction present between the foam and the external threads of the TVC. Furthermore, the magnitude of friction was dictated by the material properties of the individual media. A reproducible method of measuring entry torque during body cavity entry was established.
Index Finger Motion Recognition Using Self-Advise Support Vector Machine
Authors: Anam Khairul , Jumaily Adel Al , Maali Yashar
Published: February 2018

abstract

Because of the functionality of an index finger, the disability of its motion in the modern age can decrease the person’s quality of life. As a part of rehabilitation therapy, the recognition of the index finger motion for rehabilitation purposes should be done properly. This paper proposes a novel recognition system of the index finger motion suing a cutting-edge method and its improvements. The proposed system consists of combination of feature extraction method, a dimensionality reduction and well-known classifier, Support Vector Machine (SVM). An improvement of SVM, Self-advise SVM (SA-SVM), is tested to evaluate and compare its performance with the original one. The experimental result shows that SA-SVM improves the classification performance by on average 0.63 %.