Showing 109–120 of 141 results
Construction of Hydraulically Balanced Water Distribution NetworkOpen Access
Abstract: This paper represents creating and analyzing of an adequate hydraulically balanced Water Distribution Network (WDN) based on Geographical Information System (GIS) and Epanet softwares. Fist a proper and functional WDN has been built and skeletonized by network analyst methodology in ArcGIS. Then the project scenario has been imported into Epanet with simple text or Epanet’s readable format consisted of multiple physical or non-physical WDN objects and its characteristics. These all in order to determine analyze and simulate hydraulic parameters of WDN. Second, we analyzed and determined water flows, water in each pipe, water flows direction as well as pressure heads at each node in the network with other required hydraulics parameters. The advantages of this method are simple math and self-correction.
Concisely, the context of this work is to use GIS and Epanet-based methodologies as well as
solution of closed-loop network problems. Used continuity and energy conservation methods due to determination of pressure heads at each node, water flows and water flows direction at each pipe in the network. As a result got a satisfied hydraulically balanced and a systematic WDN appropriately as the implications of this paper approaches consequently.
Keywords: Geographical Information System (GIS); Water Distribution Network (WDN), Hydraulic,
Homotopic parts configuration management using the cellular data systemOpen Access
Abstract: Lacking proper theory and design, big data has continued to grow in a chaotic way and are now beyond human recognition and control. To address this, we have been researching an application of the concept of homotopy preservation in homotopy type theory to remove the bottleneck in big data processing, originating from combinatorial explosion of information, which makes use of the seven layers, from homotopy to presentation, of the incrementally modular abstraction hierarchy (IMAH).
We developed the Cellular Data System (CDS) as an implementation of the IMAH in our previous
work. In this paper, we introduce a position information formula, which identifies the relative position of a specified factor in a formula in CDS. This function has an important role for preserving homotopy in actual changes of objects. We show the effectiveness of the formula by taking up a case study of component configuration information management in manufacturing. In the case study, it is demonstrated that design component configuration information and manufacturing component configuration information are consistently managed by preserving homotopy, even when component configuration frequently changes.
Keywords: Position information formula, Component configuration information management,
Incrementally Modular Abstraction Hierarchy, Cellular Data System
An Analysis Of Automated HTML5 Offline Services (AHOS)Open Access
Abstract: The classic web-based applications operate only when connected to the network. Many
realities in a field require a web-based application that is applicable even in case of offline. We have proposed the Automated HTML5 Offline Service (AHOS), presented as the integration of advanced services, developing with HTML5 Application Programming Interfaces (APIs) to provide web-based applications with the ability to work offline. When the AHOS web-based application visits at the web server for the first time, the web server will notify the application the list of files required to be downloaded. Then after being downloaded, the web application can work successfully and continuously even though the network connection from the client to the server is unavailable. Moreover, if the connection to the server is re-connected, any changes that have been made during offline will be automatically uploaded. The present study describes the requirements and implementation stages of AHOS concept for web-based applications. Then, several current status and challenges of AHOS concept are also described. The performance analyses of the AHOS concept are performed in a case of web-based maintenance Decision Support System (DSS) for Small and Medium Industries (SMIs). The results of the study are very useful in providing in-depth understanding of the advantages and limitations, and as the future directions in applying this AHOS concept to other webbased applications.
Keywords: Hypertext markup language fifth revision, Offline services, Synchronization service, Webbased applications.
The Impact of Trait Anxiety under a Painful Stimulus on the Chaotic Synchronization of Respiration and Pulse WavesOpen Access
Abstract: Thus far, attention has been paid to the relation between pain and anxiety, which has been studied. On the other hands, the earlier studies have hinted at the importance of considering mental and physical health from a holistic perspective, while taking into consideration the principles that prescribe the chaotic behavior of living organisms. Therefore, the purpose of this study is to use the respiration and pulse waves to examine the nature of the chaotic connection between biosignals involved in people’s mental and physical conditions, particularly those involved in the psychological trait of anxiety under a painful stimulus in this case. The results showed that with the high anxiety group, the extent of the synchronicity between their respiration and pulse waves under a painful stimulus increased, while this decreased for the low anxiety group. In other words, chaos dynamics for living systems are expressed in synchronous phenomena for the LLE for respiration and pulse waves. It also implied that these dynamics are prescribed by trait anxiety under a painful stimulus. This has opened up the possibility that, in the future, the cross-correlation function for LLE in pulse waves and respiration will make contributions to treating and assessing chronic pain in the field of clinical medicine.
Keywords: Pain; Anxiety; Chaos; Synchronization
JBINS Vol 2 Issue 2Open Access
Published 26th April 2016, ISSN 2188-8116, Total Pages 9
Processing of retinal signals in the Limulus brainOpen Access
Abstract: Limulus retina sends signals to the brain through optic nerve fibers with processes terminating in both the first and second optic ganglia, called lamina and medulla. At the lamina, OFF signals are generated and sent to the medulla. Medullar cells extend fibers to the other parts of the brain. To understand the neural mechanisms of their visually guided mating behavior, it is important to investigate responses in the medulla. However, there are only very few studies on medulla due to experimental difficulties. In this paper, we developed two experimental setups to study the medulla ex vivo and succeeded in recording responses and in mapping receptive fields. Responses of medullar cells share many features with responses of ganglion cells in vertebrate retina. The recorded responses can be classified as non-spiking, sustained and transient ON, sustained and transient OFF, ON-OFF, inhibition, and bilateral and contralateral types. Their receptive fields vary from 6 degrees to more than 180 degrees. Some cells have receptive fields classified as ON-center and OFF-center. In addition, one medullar cell had a separated receptive field extending over 90 degrees in the horizontal direction.
Keywords: visual processing, intracellular recording, medulla, brain, invertebrate, Limulus
JBINS Vol. 1 Issue 1Open Access
Publication Date: 25th December 2015, ISSN 2188-8116, Total Pages 61
Multi-Color Recognition based on Mini-Max Color Threshold for Medical PurposeOpen Access
Abstract: This paper discusses the multi-color recognition using the min-max color threshold for
outdoor robot navigation. All colors used in this project are RGB orthogonal color space in order to
see how much of each primary color between min and max that can be observed in the color to be
recognized. The white color value in the color space is set as the object for which the target color to be recognized belongs, while the black color value is set as the object background. The recognition process is done by summing up first the values of the red, green and blue in each color to obtain the rgb sum value, which is then divided by the individual color element to obtain the color threshold. This threshold is compared to the originally color threshold for the recognition, where a satisfactory result is expected as the project is not yet finished.
Keywords: Color recognition, threshold, mini-max, multicolor
Comparing Two Feature Selection Methods for Influenza-A Antivral Resistance DeterminationOpen Access
Abstract: The paper thoroughly analyzes the use of Principal Component Analysis (PCA) in
comparison to Information Gain (IG) as a feature selection method for improving the classification of Influenza-A antiviral resistance. Neural networks were used as the classification method of choice with PCA, while decision trees were the classification of choice with IG. The experiment was conducted on cDNA viral segments of Influenza-A belonging to the H1N1 strain. The 7 Infleunza-A segments generating the best results were used for comparison. Sequences from each segment were further divided into Adamantane-resistant, & non-Adamantane-resistant. Accuracy, sensitivity, specificity precision & time were used as performance measures. Using PCA for feature selection increased preprocessing speeds from an average processing time of 1.5 hours to 5 minutes, as opposed to IG. IG had higher accuracy. The best accuracy generated by PCA & NNs on the M1/M2 was 96.5%, while that of IG & DTs was 98.2% Using PCA features & DTs also generated a comparable accuracy to that of IG features & DT at 97.6% on the M1/M2 segment. There was a 88% increase in feature selection processing speed when using PCA compared to IG on the M1/M2 segment alone.
Keywords: Influenza-A, Principle component analysis (PCA), Machine learning, Information gain,
DNA classification, decision trees, neural networks.
A Study on Automatic Evaluation Method of Pointing and Calling for Nurse EducationOpen Access
Abstract: Pointing and calling is a method of preventing human error, which is widely used in
Japanese industry. Pointing and calling also has the potential to reduce human error in hospital nursing duties. The development and evaluation of novel technologies are necessary to distinguish if pointing and calling is to be appropriately applied in this context. In this paper, we report on an automatic evaluation method for pointing and calling and present. the evaluation results from an experimental study of the simulated duties of 40 active nurses.
Keywords: Pointing and calling; human error; wearable sensor; evaluation of motion
Experimental Results of 2D Depth-Depth Matching Algorithm Based on Depth Camera Kinect v1Open Access
Abstract: Last year, we proposed a smart transcription algorithm in which a real liver is captured
using a 3D depth camera. As opposed to this, a virtual liver is represented by a polyhedron in STL
(Standard Triangulated Language) format (stereo-lithography) via DICOM (Digital Imaging and
Communication in Medicine) data captured by MRI (magnetic resonance imaging) and/or a CT
(computed tomography) scanner. By comparing the depth image in the real world and the Z-buffer in its virtual world, we quickly identify translation/rotation differences between real and virtual livers in a GPU (graphics processing unit). Then by a randomized steepest descent method based on the differences, we can quickly copy real liver motion to virtual liver motion. In this paper, this
performance (i.e., motion precision and calculation time) of the proposed algorithm is ascertained from several kinds of experiments based on the depth camera Kinect v1. This is the first challenge to use matching real-virtual-depth-images in our algorithm running in 3D AR (augmented reality) with overlapping real and virtual environment.
Keywords: Depth camera image, Z-buffer, steepest descent method, GPU, Parallel processing
Quantification of Interaction between Human Skin Fibroblasts and Collagen by Image Texture AnalysisOpen Access
Abstract: Collagen plays an important role in maintaining healthy structures in human skin.
Fibroblasts are the cells located in collagen-rich skin dermis and they are responsible for producing
collagen of connective tissue. However, the effects of coating of the culture dish with collagen on
fibroblast culture are still unknown. Therefore, to uncover the effects, we propose a quantitative
method based on Gray-Level Co-occurrence Matrix. This method computes two texture similarity
indices, called “Texture Mean Distance (TMD)” and “Texture Mean Spread (TMS)” by integrating
texture features from images. An experiment with two sets of microscope cell culture images with and without collagen coating demonstrates promising performances of the metrics to identify the effects of collagen on human fibroblasts.
Keywords: cellular images, human skin fibroblasts and collagen, statistical texture features, texture mean distance, texture mean spread