bluuebunny/crossref_metadata_2025 huggingface dataset:
Effectiveness of Laser Therapy in the Management of Recurrent Aphthous Stomatitis: A Systematic Review
Authors: Han Min , Fang Hui , Li Quan-Li , Cao Ying , Xia Rong , Zhang Zhi-Hong
Published: December 2016

Objectives. Laser therapy is a promising new treatment for patients with recurrent aphthous stomatitis (RAS). However, the clinical effect and security issue of laser therapy remain controversial. This systematic review was conducted to evaluate the clinical effectiveness and security of laser treatment in RAS patients. Methods. Five electronic databases were searched (MEDLINE (PubMed), EMBASE, ScienceDirect, the Cochrane Library, and Web of Science) to identify all studies that were about randomized controlled clinical trials, involving the effect of laser therapy in RAS patients. Conclusion. Twenty-three studies were retained for full-text analysis after screening the titles and abstracts of potential articles, but only 10 studies satisfied the inclusion criteria after the full texts were reviewed. The included studies reported a comparison of the effectiveness between the laser treatment and placebo laser therapy (or conventional drug therapy) when managing the RAS patients. It can be concluded that laser therapy has the superiority in relieving ulcer pain and shortening healing time when compared with placebo group or medical treatment group. Although laser therapy is a promising effective treatment for RAS, high-quality clinical studies with large sample size must be further performed to confirm the effectiveness of this therapy.
Breast Cancer Profile among Patients with a History of Chemoprevention
Authors: Schnabel Freya R. , Pivo Sarah , Chun Jennifer , Schwartz Shira , Refinetti Ana Paula , Axelrod Deborah , Guth Amber
Published: December 2016

Purpose. This study identifies women with breast cancer who utilized chemoprevention agents prior to diagnosis and describes their patterns of disease.Methods. Our database was queried retrospectively for patients with breast cancer who reported prior use of chemoprevention. Patients were divided into primary (no history of breast cancer) and secondary (previous history of breast cancer) groups and compared to patients who never took chemoprevention.Results. 135 (6%) of 2430 women used chemoprevention. In the primary chemoprevention group (n= 18, 1%), 39% had completed >5 years of treatment, and fully 50% were on treatment at time of diagnosis. These patients were overwhelmingly diagnosed with ER/PR positive cancers (88%/65%) and were diagnosed with equal percentages (44%) of IDC and DCIS. 117 (87%) used secondary chemoprevention. Patients in this group were diagnosed with earlier stage disease and had lower rates of ER/PR-positivity (73%/65%) than the nonchemoprevention group (84%/72%). In the secondary group, 24% were on chemoprevention at time of diagnosis; 73% had completed >5 years of treatment.Conclusions. The majority of patients who used primary chemoprevention had not completed treatment prior to diagnosis, suggesting that the timing of initiation and compliance to prevention strategies are important in defining the pattern of disease in these patients.
Functions of the Tumor Suppressors p53 and Rb in Actin Cytoskeleton Remodeling
Authors: Ebata Takahiro , Hirata Hiroaki , Kawauchi Keiko
Published: December 2016

Mechanical microenvironments, such as extracellular matrix stiffness and strain, have crucial roles in cancer progression. Cells sense their microenvironments with mechanosensing biomolecules, which is accompanied by the modulation of actin cytoskeleton structures, and the signals are subsequently transduced downstream as biochemical signals. The tumor suppressors p53 and retinoblastoma protein (Rb) are known to prevent cancer progression. The p53 and Rb signaling pathways are disrupted in many types of cancers. Here, we review recent findings about the roles of these tumor suppressors in the regulation of mechanosensing biomolecules and the actin cytoskeleton. We further discuss how dysfunction in the p53- and/or Rb-mediated mechanosignaling pathways is potentially involved in cancer progression. These pathways might provide good targets for developing anticancer therapies.
Prenatal Dexamethasone Exposure Increases the Susceptibility to Autoimmunity in Offspring Rats by Epigenetic Programing of Glucocorticoid Receptor
Authors: Sun Yanhong , Wan Xiaoyan , Ouyang Juan , Xie Renfeng , Wang Xueping , Chen Peisong
Published: December 2016

Objective. Prenatal glucocorticoids (GC) can induce long term effects on offspring health. However, reports and related studies regarding the prolonged effects of prenatal GC on the development of autoimmunity are limited. Here, we aimed to explore the immunological effects of dexamethasone (DEX) exposure on young adults and whether glucocorticoid receptor (GR) is involved in this process. Methods. Wistar rats were given DEX during pregnancy. Susceptibility to autoimmunity in offspring was assessed using experimental autoimmune encephalomyelitis (EAE) and adjuvant-induced arthritis (AIA) animal models. To reveal the possible mechanism, glucocorticoid response, GR expression, and methylation status were measured in peripheral blood mononuclear cells (PBMCs). Results. Our results showed that the DEX-treated rats had greater susceptibility to EAE (100% versus 62.5%, P<0.05) and AIA (63.6% versus 0%, P<0.05) than saline control group. Glucocorticoid response and GR expression were decreased in DEX rats. Significant difference was also found in the methylation levels of GR exon 1-10 to exon 1-11 region. Conclusions. Prenatal DEX administration increases the susceptibility to autoimmune diseases, which is potentially mediated by programming GR methylation status and glucocorticoid sensitivity.
Noncanonical IFN Signaling: Mechanistic Linkage of Genetic and Epigenetic Events
Authors: Johnson Howard M. , Ahmed Chulbul M.
Published: December 2016

The canonical model of cytokine signaling via the JAK/STAT pathway dominates our view of signal transduction but provides no insight into the significance of the simultaneous presence of activated JAKs and STATs in the nucleus of cells treated with cytokines. Such a mechanistic shortcoming challenges the usefulness of the model in its present form. Focusing on the interferon (IFN) cytokines, we have developed a noncanonical model of IFN signaling that naturally connects activated JAKs and STATs at or near response elements of genes that are activated by the IFNs. Specifically, cells treated with IFNγshowed association of activated STAT1αand JAK2 at the GAS element of genes activated by IFNγ. For IFNαtreated cells, the association involved activated STAT1αand TYK2 JAK kinase at the ISRE promoter. The power of the noncanonical model is that it provides mechanistic insight into specific gene activation at the level of the associated epigenetics, akin to that of steroid/steroid receptor signaling.
On Finite Element Computations of Contact Problems in Micropolar Elasticity
Authors: Eremeyev Victor A. , Skrzat Andrzej , Stachowicz Feliks
Published: December 2016

Within the linear micropolar elasticity we discuss the development of new finite element and its implementation in commercial software. Here we implement the developed 8-node hybrid isoparametric element into ABAQUS and perform solutions of contact problems. We consider the contact of polymeric stamp modelled within the micropolar elasticity with an elastic substrate. The peculiarities of modelling of contact problems with a user defined finite element in ABAQUS are discussed. The provided comparison of solutions obtained within the micropolar and classical elasticity shows the influence of micropolar properties on stress concentration in the vicinity of contact area.
An FDA Perspective on the Regulatory Implications of Complex Signatures to Predict Response to Targeted Therapies
Authors: Beaver Julia A. , Tzou Abraham , Blumenthal Gideon M. , McKee Amy E. , Kim Geoffrey , Pazdur Richard , Philip Reena
Published: December 2016

As technologies evolve, and diagnostics move from detection of single biomarkers toward complex signatures, an increase in the clinical use and regulatory submission of complex signatures is anticipated. However, to date, no complex signatures have been approved as companion diagnostics. In this article, we will describe the potential benefit of complex signatures and their unique regulatory challenges, including analytic performance validation, complex signature simulation, and clinical performance evaluation. We also will review the potential regulatory pathways for clearance, approval, or acceptance of complex signatures by the FDA. These regulatory pathways include regulations applicable to in vitro diagnostic devices, including companion diagnostic devices, the potential for labeling as a complementary diagnostic, and the biomarker qualification program. Clin Cancer Res; 23(6); 1368–72. ©2016 AACR.
Endothelin Receptor Down-Regulation Mediated Ligand Regulation Mechanisms Protect Against Cellular Hypoxia Injury in Rat Vascular Endothelial Cells
Authors: Li Long , Hu Mushuang , Zheng Long , Zhang Chao , Li Jiawei , Rong Ruiming , Zhu Tongyu , Jia Yichen
Published: December 2016

Objective: Investigation of the effect of endothelin receptor A (ETaR)-targeting small interfering RNA (siRNA) on rat vascular endothelial cellular hypoxia injury, as well as its underlying mechanism. Methods: An in vitro rat vascular smooth muscle cells - endothelial cells co-culture model was established and transfected with ETaR siRNA before hypoxia treatment. Cell culture supernatant, cellular protein and RNA were collected and examined at 0.5hrs, 1hrs, 2hrs, 4hrs, 8hrs, 16hrs, 24hrs and 48hrs of hypoxia with 1% oxygen. The time point at which the best silencing effect was achieved was chosen, eNOS inhibitor L-NAME was added, and post hypoxia cell culture supernatant, cellular protein and RNA was collected for further examination. Results: After hypoxic treatment, endothelial-1 (ET-1) and ETaR expression levels gradually increased as oxygen deprivation extended. ET-1 and ETaR expression levels were significantly lower in the ETaR siRNA group compared with the Hypoxia group (P<0.001). Such difference peaked at 4hrs of hypoxia. ELISA examination of cell culture supernatant revealed that the amount of ET-1 and TGF-βin the ETaR siRNA group were significantly lower compared to the Hypoxia group at all times, while the amount of NO and eNOS was higher. After 4 hrs of hypoxia, Smad2, Smad3, HIF-1, TNF-α, IFN-γ, IL-6, MCP-1, NF-κb, ET-1 and ANG II mRNA expression in endothelial cells and ETaR mRNA expression in A-10 cells of the ETaR siRNA group were lower than those of the Hypoxia siRNA group, while such results were much higher in the L-NAME group. Western Blot results showed lower expression of ETaR in the ETaR siRNA group compared with the hypoxia and negative siRNA groups, as well as significantly higher ETaR expression in the L-NAME group compared with the ETaR siRNA group. PI3K and p-AKT expression levels were mildly elevated after mild oxygen deprivation, and ETaR siRNA was able to enhance such elevation induced by hypoxia. In the L-NAME group, PI3K and p-AKT expression was much higher than the ETaR siRNA group. PKG and sGC expression levels significantly descended after mild oxygen deprivation. While such levels were higher in the ETaR siRNA group, compared with the hypoxia and negative siRNA groups, the L-NAME group had lower levels of PKG and sGC compared with the ETaR siRNA group. Conclusion: ETaR siRNA is capable of down-regulating the expression of inflammatory and transcription factors among endothelial cells treated with hypoxia. Down-regulation of ET-1 is triggered by altered nucleus transcription factor activity through the sGC/PKG signal pathway, and results in enhanced eNOS activity through the PI3K/Akt signal pathway. We suspect this to be the mechanism of the protective effect of ETaR siRNA.
Cerebrospinal Fluid Findings in Neurological Diseases Associated with Sjögren's Syndrome
Authors: Pars Kaweh , Pul Refik , Schwenkenbecher Philipp , Sühs Kurt-Wolfram , Wurster Ulrich , Witte Torsten , Bronzlik Paul , Stangel Martin , Skripuletz Thomas
Published: December 2016

Background: Sjögren's syndrome is a chronic autoimmune-mediated disease that can cause a variety of neurological manifestations. Methods: This study investigated characteristics of clinical and cerebrospinal fluid (CSF) features in patients with neurological diseases associated with Sjögren's syndrome. Eighty-two patients were examined separately according to the presence of Sjögren's syndrome alone or in combination with other autoimmune diseases. Results: In the 47 patients with primary Sjögren's syndrome, peripheral neuropathy (57%) was found most frequently, followed by the involvement of the central nervous system (CNS; 17%), cranial neuropathy (15%), and myalgia (11%). These patients did not display consistent signs of inflammation in the CSF. Slight pleocytosis of 8-107 cells/µL was found in patients with peripheral neuropathy (9%), cranial neuropathy (20%), and CNS involvement (25%). Oligoclonal bands indicating intrathecal IgG synthesis occurred in 26% of patients with peripheral neuropathy, 20% of patients with cranial neuropathy, and 25% of patients with CNS involvement. Conclusions: In patients with Sjögren's syndrome and neurological manifestations, inflammatory CSF changes were rarely found and did not show a characteristic pattern irrespective of peripheral or central genesis of neurological deficits. Analysis of the CSF presents therefore an important diagnostic procedure to exclude other autoimmune and infectious diseases.
Real Time Power Quality Phenomenon for Various Distribution Feeders
Authors: Bharatiraja C. , Chowdary V Harish
Published: December 2016

Power Quality (PQ) brings more challenges to the large- scale and medium scale industries because in the recent years most of them use high efficiency and low energy devices which cause vulnerable PQ disturbances at Point of Common Coupling (PCC). In this paper, the measurement at different times during load condition and analysis of all types of disturbances occurred has been done. When large rated equipments run, the disturbance (harmonics, RMS variations, and switching transients) levels are very high and poor power factor (PF) has also appeared. Due to this poor PF, reactive power consumption in load increases and accordingly total power increases. An electronic device such as LED lights, fluorescent lamps, computers, copy machines, and laser printers also disturb the supply voltage. We are very well known that every PQ problem directly or indirectly must affect economically. Many researchers have investigated PQ audit for over three decades. However these studies and analysis have been done only at simulation level. Hence, the PQ analyzer based study is required to find out the PQ issues at distribution feeders. It will be a valuable guide for researchers, who are interested in the domain of PQ and wish to explore the opportunities offered by these techniques for further improvement in the field of PQ. This paper gives a brief Real Time PQ measurement using PQ analyzer HIOKI PW3198 at Distribution Feeders and it gives an idea to the researcher to optimize problems-related to PQ with respect to the high rated and low rated electric machinery of different feeders at PCC level. This study further extends to analyze the grid disturbances and looks forward to the optimization methods for each individual PQ disturbance.
Variable Speed Control Using Fuzzy-PID Controller for Two-phase Hybrid Stepping Motor in Robotic Grinding
Authors: Attiya Adnan Jabbar , Waley Shneen Salam , Abdullah Abbas Basma , Wenyu Yang
Published: December 2016

In a robotic grinding process, a light-weight grinder is held by an intelligible robot arm. Material removal is carried out by the rotating grinding tool while the end effector of robot guarantees that the tool follows a programmed path in order to work on complex curved surfaces. Grinding tool is driven by Two-Phase Hybrid Stepping motor derive. This work aims to develop a controller based on fuzzy logic to improve the speed control performance of Two-Phase Hybrid Stepping motor derive in order to achieve a controller that provides grinding with higher quality. The analysis and design of PID-Fuzzy controller to improve the response of the motor speed were studied. This paper simulates six motor speed input conditions. The simullink package of the MATLAB. Comparison between the conventional PID controller and Fuzzy-PID output was done on the basis of the simulation result obtained by MATLAB. The simulation results demonstrate that the designed Fuzzy-PID controller realize a good dynamic behavior of the Two-Phase Hybrid Stepping motor, a perfect speed tracking with less rise and settling time, minimum overshoot, minimum steady state error and give better performance compared to conventional PID controller.
Survey Smoothly Fiber-Wireless (FiWi) Accessing Wireless Networks: Convergence and Challenges
Authors: Alkhazaali Naseer Hwaidi , Abduljabbar Aljiznawi Raed , Kadhim Dheyaa Jasim
Published: December 2016

 Traditionally, wireless networks and optical fiber Networks are independent of each other. Wireless networks are designed to meet specific service requirements, while dealing with weak physical transmission, and maximize system resources to ensure cost effectiveness and satisfaction for the end user. In optical fiber networks, on the other hand, search efforts instead concentrated on simple low-cost, future-proofness against inheritance and high services and applications through optical transparency. The ultimate goal of providing access to information when needed, was considered significantly. Whatever form it is required, not only increases the requirement sees technology convergence of wireless and optical networks but also played an important role in future communication networks. Some technical development of wireless access networks-optical and seamless coexistence of both techniques, this paper is a review of the State of the latest developments and advances in optical and wireless communications, major technical challenges to provide flawless communication in fiber- wireless (FiWi) access networks, places of interest important research issues to provide intelligence information, access and transport and the convergence of these networks in the future.
Cyber informatics and Contrasting Extreme Programming with Boolean Logic
Authors: Fernando Erick , Touriano Derist
Published: December 2016

Cyber information is the solution for e-commerce, in this study we investigated the LAN is needed and seek confirmation of the decision to use the method Red-Black Tree in forming binary search tree. Given the status of the wireless modalities and development of RAID, this study used a Bayesian tool in controlling identifier-locator split (palmate). In addition, to verify that Boolean logic and the model checking can collude to address this problem. In this paper, we verify that rasterization can be made strong, cooperative, and adaptive. Furthermore, we concentrated this study can be made so that IPv6 embedded, scalable, and highly-available. Our design for investigating encrypted algorithms is dubiously promising. Finally, we introduced an analysis of journaling file systems (Palmate), which we used to validate that local-area networks and replication are often incompatible.
An Algorithm for Continuous Optimization Problems using Hybrid Particle Updating Method
Authors: Shola Peter Bamidele , Asaju L B
Published: December 2016

Optimization problem is one such problem commonly encountered in many area of endeavor, obviously due to the need to economize the use of the available resources in many problems. This paper presents a population-based meta-heuristic algorithm   for solving optimization problems in a continous space. The algorithm, combines a form of cross-over technique with a position updating formula based on the instantaneous global best position to update each particle position .The algorithm was tested and compared with the standard particle swarm optimization (PSO)  on many benchmark functions. The result suggests a better performance of the algorithm over the later in terms of reaching (attaining) the global optimum value (at least for those benchmark functions considered) and the rate of convergence in terms of the number of iterations required reaching the optimum values.
Computer vision for Ethiopian agricultural crop pest identification
Authors: Alemayehu Dagnachew Melesew , Mengistu Abrham Debasu , Mengistu Seffi Gebeyehu
Published: December 2016

Crop pest is an organism that creates damage on to the agriculture by feeding crops. The research focuses on four major types of crop pest which occurs on teff, wheat, sorghum, barley and maize these are Black tef beetles, Ageda korkur, Degeza and Yesinde Kish Kish. The aim of this paper is identification of the four types of agricultural crop pest using a computer vision technique. The image of crop pest were taken from Amhara regions of Ethiopia i.e. Adiet, Dejen, Gonder, Debremarkos (places where images were taken).  In this paper, artificial neural network (ANN), a hybrid of self organizing map (SOM) with Radial basis function (RBF) and a hybrid of support vector machine (SVM) with Radial basis function (RBF) are used, and also we used Otsu and Kmeans segmentation techniques. Finally we selected Kmeans techniques for segmenting crop pest. In general, the overall result showed that using kmeans segmentation in RBF and SVM perform better than using otsu method in the other algorithm and the recognition performance of the combination of RBF (Radial basis function) and SVM (support vector machine) is 93.33%.
Study on Characteristics of SAR Data in Ravine Reservoir Area
Authors: Xie Mowen , Huang Jiaxuan , Huang Jiehui
Published: December 2016

<span style="line-height: 200%; font-family: 'Times New Roman','serif'; font-size: 10.5pt; mso-fareast-font-family: SimSun; mso-fareast-language: ZH-CN; mso-font-kerning: 1.0pt; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">Landslide monitoring is one of the most important methods in landslide prevention. Landslide early identifying that based on D-InSAR technique is one of the effective means in landslide monitoring in ravine reservoir area. On the basis of D-InSAR technique analysis in ravine reservoir, how to eliminate the error and find the real moving area caused by rock and soil is the key problem. Considering the fact, an experiment region in reservoir of Wudongde hydropower station, Jinsha River has been studied. Based on D-InSAR analysis method and the characteristics of radar data, an analysis method of the SAR data trusted zone, the detectable landsliding displacement and error estimation has been established, extracting the effective range in the result of SAR data analysis.
A Quantum Chaos Clonal Multiobjective Evolutionary Method Reasearch
Authors: Wu Shuyue
Published: December 2016

A quantum chaos cloning multi-objective evolutionary algorithm was proposed herein based on chaos search ergodicity, quantum computing efficiency and clonal selection theory of antibodies in artificial immune system. The qubits encoded initial population is used in the new algorithm, Chaos quantum rotation gates are introduced to update individuals, crowding distance  is used  to keep solution  population distribution and diversity. Theoretical analysis and simulation show the effectiveness of the algorithm.
Performance Evaluation of Doubly-Fed Induction Generator Using Combined Vector Control and Direct Power Control Method
Authors: Valipour Khalil , Najafi Reza
Published: December 2016

This paper presents the performance evaluation of Doubly-Fed Induction Generator Using Combined Vector Control and Direct Power Control Method. Combined vector and direct power control (CVDPC) is used for the rotor side converter (RSC) of double-fed induction generators (DFIGs). The control system is according a direct current control by selecting suitable voltage vectors from a switching table. Actually, the proposed CVDPC encompass the benefits of vector control (VC) and direct power control (DPC) in a compact control system. Its benefits compare with VC contains rapid dynamic response, Stability against the machine parameters Changes, less computation, and naive implementation. On the other hand, it has benefits compared with DPC, contains less harmonic distortion and lower power ripple. This technique is to improve the dynamic performance of the DFIG driven by the wind-energy conversion system.
Analysis of Step Up Transformer for Pulsed Electric Fields Generator
Authors: Yoppy Yoppy , Anam Mohamad Khoirul , Yudhistira Yudhistira , Wibowo Priyo , Arjadi Harry , Nugroho Hutomo Wahyu , Prananto Haryo Dwi
Published: December 2016

Pulsed electric fields (PEF) is a novel non-thermal food processing whose purpose is inactivating microbes while at the same time preserving food’s nutrition, color, and taste. This paper presents an analysis of step up transormer for PEF high voltage generator. To achieve the optimum PEF effects, the pulse shape should resemble a square, which is characterized by low voltage drop and fast rising time. Through simulations, it has been shown that higher transformer inductance results in lower voltage drop. However at some points, further increasing the inductance would only produces negligible improvements. Meanwhile fast rising time can be achieved by minimizing leakage inductance and parasitic capacitance. Moreover, maximum energy transfer to the load can be obtained by reducing winding resistances. Finally, a case of high voltage generator using ignition coil has been evaluated. Due to its high winding resistances, ignition coil seems to be not suitable for PEF applications.
Investigations of Electrostatic and Ionized Fields Analysis for Dual-Electrode System
Authors: A. Abouelatta Mohamed , R. Salama Abdelhadi , Omar A. M. , Ward S. A.
Published: December 2016

The paper presents the computation and measurement of electric field, in both electrostatic as well as ionized case, for dual electrode system intended for electrostatic applications. The dual electrode system consists of an ionizing and non-ionizing electrode have the same voltage and facing a grounded collecting plate. The charge simulation method (CSM) coupled with genetic algorithms (GAs) and method of characteristic (MOC) is applied to compute the electrostatic field and the ionized field respectively. The influence of dual system parameters such as ionized wire diameter and inter electrode distances on the profile of the electrostatic field on the collecting plate and on the surface of the ionizing wire has been studied. The measurements of the ionized electric field, current-voltage characteristics and ion current density profiles are implemented using the technique of the linear biased probe. An experimental setup is constructed to model the present electrode arrangement. The measurements are carried out for ionized wire of diameter 0.25 and 0.5mm. The computed results are found to be in good agreement with experiments.
A Secure ANFIS based Relay for Turbo-Generators Phase Backup Protection
Authors: Abdel Aziz Mohamed Salah El-Din , ElSamahy Mohamed , Moustafa Mohamed , ElBendary Fahmy
Published: December 2016

This research work presents an advanced solution for the problem due to the current setting of Relay (21) when it is set to provide thermal backup protection for the generator during two common system disturbances, namely a system fault and a sudden application of a large system load. These investigations are carried out using Adaptive Neuro Fuzzy Inference System (ANFIS). The results of the investigations have shown that the ANFIS has a promising effect when applied for turbo-generators phase backup protection. Such an effect varies according to the type of data used for ANFIS testing and validating. The proposed method in this paper proposes the use of two different sets of inputs to the ANFIS, these inputs are the generator terminal impedance measurements (R and X) and the generator three phase terminal voltages and currents (V and I). The dynamic simulations of a test benchmark have been conducted using the PSCAD/EMTDC software. The results obtained from the ANFIS scheme are promising.
VLSI Architectures for Lifting Based Discrete Wavelet Transform – A Survey
Authors: Kalaiarasi M. , Vigneswaran T.
Published: December 2016

Image compression is a key technology in the development of various multimedia and communication applications. Perfect reconstruction of the image without any loss in picture quality and data is very important. This can be achieved with the Discrete Wavelet Transform (DWT), which is an efficient tool for image compression and video compression. The lifting based DWT architecture has the advantage of lower computational complexities and also requires less memory compared to the conventional convolution method. The existing DWT architectures are represented in terms of folded, flipping and recursive structures. The various architectures are discussed in terms of memory, power consumption and operating frequency involved with the given size of image and required levels of decomposition. This paper presents a survey of these architectures for 2-dimensional and 3-dimensional Discrete Wavelet Transform. This study is useful for deriving an efficient method for improving the speed and hardware complexities of existing architectures.
A Innovation Identification Approach of Control System by Irrational (Fractional) Transfer
Authors: Dung Nguyen Quang , Quang Minh Tran Hoang
Published: December 2016

In this paper, an innovative algorithm of identification of control system, described by irrational transfer function with distributed parameter characteristics - with irrational components, is proposed. Algorithm is based on real interpolation method (RIM). Parameters of irrational transfer function can be identified by its experimental transient responses. Each of them can be represented by an analytic expression, table or graph. The proposed method is computationally efficient, simple and practical, as is illustrated by numerical examples. In the furure, the method can be used for tuning the controller and for direct application construction of adaptive controllers, working on the identification principle.
Tuning Methods of PID Controller for DC Motor Speed Control
Authors: Abdulameer Ashwaq , Sulaiman Marizan , Aras MSM , Saleem Dawood
Published: December 2016

The traditional PID controllers are used for a long time to control the DC motor for many industrial processes, that because of the simplicity, flexibility, and satisfactory performance of this type of controller. This paper discusses the basic PID tuning method (Ziegler-Nichols) and its modification (Chien-Hrones-Reswick). Also, analysis the speed control DC motor response using the PID controller parameters that result from the tuning methods mentioned earlier. Moreover, explain the advantage and disadvantage of each formula of these methods.  GUL/MATLAB windows used to implementing both methods to create more comfortable and friendly environment for better understanding of the PID controller tuning methods formula for engineering students and practicing engineers.
Performance Evaluation of Fractal Array Antenna for Small Satellite Applications
Authors: Teklehaimanot Yemane Ghebremedhin , Bekelle Sinshaw , Ismail Mohammed
Published: December 2016

The possible antenna which can be integrated with relatively large flat structure of solar panel of small satellites is patch antenna. The main problem of common Microstrip patch antennas is that they only operate at one or two frequencies, restricting the number of bands that equipment is capable of supporting. Another issue is that, due to the very strict space that a solar panel has, setting up more antenna array is very difficult. To reduce these problems, the use of fractal shaped antennas integrated on solar cells will be analyzed. The small satellite applications demand a high efficient multi-band antenna with a very compact size. A 2x2 Sierpinski Fractal antenna array is modeled and simulated using HFSS. The proposed work has resulted in multiband operation 10.2 GHz and 18.3GHz with increased bandwidth and radiation characteristics betterment, with added advantage of light weight and smaller dimension which is important where cost to payload is a constraint in satellites.
An Image Processing Method to Convert RGB Image into Binary
Authors: Atmaja Ratri Dwi , Murti Muhammad Ary , Halomoan Junartho , Suratman Fiky Yosef
Published: December 2016

It is important in image processing to extract objects from their background into binary image. Binary image is used as input to feature extraction process and have an important role in generating unique feature to distinguish several classes in pattern recognition. This paper propose an image processing algorithm to obtain a binary image from RGB. The results showed that the binary image of the proposed algorithm contained the desired object.
Testing MANET Protocol using Zigbee based Xbee Modules
Authors: Sundar S. , Arora Piyush , Agrawal Sarthak , Kumar R. , M. Kittur Harish
Published: December 2016

In the last few years,there has been big interest in adhoc wireless network as they have tremendous military and commercial potential[1].Traditionally to test various parameters in the MANET , the most popular approach is to use mobile phone and Laptops and use the popular WIFI based protocol . But in the recent years there is a huge attraction towards the Internet Of things and specifically wireless sensor network. In this paper we are going to test the MANET protocol using zigbee based XBee modules specifally to determine the Range and Throughput of the Xbee netowork using XCTU Software . The sensor network will be deployed in the car parking application to see the parameters in the real time and dynamically see the sustainability of the network .The network is being designed keeping in mind that the nodes are mobile and at the same time the network does not require a standard infrastructure.
Digital Certificates Resource Sharing Service Capability Evaluation
Authors: Tang Pengxiang , Zhong Yao , Xu Yingcheng , You Yue , Wang Li
Published: December 2016

The certification resource is a very special class of information resources of the government, which has huge amount of information and frequency usages of government administrative activities. With the various administrative departments’ in-depth online approval, there is an urgent demand for certificates information sharing needs, especially in interdepartmental tasks. In this paper, government service capacity evaluation of digital certificates resource sharing is the study object. First we checked literature and questionnaires to establish an evaluation indexes system of digital license resource sharing service capacity. Then we built fuzzy AHP evaluation model to evaluate the ability of the service. Finally we took Beijing Municipal Government Office as the empirical analysis of objects, and got the evaluation result of their digital certificates resource sharing service capacity.
Motorcycle-Security using Position Searching Algorithm Based on Hybrid Fuzzy-Dijkstra
Authors: Mubarok Rofiq , Verdy Firmansyah Dwi , Haryanto Dheny , Pratama Apriyanto Noor , Mahmudah Umniyatul , Iswanto Iswanto
Published: December 2016

Motorcycle safety system has been provided by the manufacturer in the form of a handlebar lock and electrical key equipped with alarms. Keys provided by the manufacturers sometimes fail in securing a motorcycle. In addition the safety system does not provide position information of the stolen motorcycle to the owner. With these problems, the paper presents safety locked motorcycle equipped with artificial intelligence algorithms. Artificial intelligence algorithm is used to find and detect the location of the motorcycle using the shortest path algorithm. This paper applies search algorithm using Dijkstra algorithm where the algorithm is used to make the decision to get the location of the motorcycle. By using the algorithm, the location of the motorcycle can be detected but it is not able to find the shortest path needed. Therefore, this paper describes the modification of Dijkstra algorithm by adding a Fuzzy algorithm that is used for the weight values in decision making, so that it can pursue to find the shortest path.
An Improved Chaos Electromagnetism Mechanism Algorithm for Path Optimization Problem
Authors: Yin Shoulin , Liu Jie , Teng Lin
Published: December 2016

As we all know, traditional electromagnetism mechanism (EM) algorithm has the disadvantage with low solution precision, lack of mining ability and easily falling into precocity. This paper proposes a new chaos electromagnetism mechanism algorithm combining chaotic mapping with limited storage Quasi-Newton Method (EM-CMLSQN). Its main idea is that it adopts limit quasi-Newton operator to replace the local optimization operator in EM algorithm for local searching in the late of algorithm. In the process of algorithm, the chaos mapping is introduced into optimization processes, and it generates new individuals to jump out of local to maintain the population diversity according to characteristics of chaos mapping random traversal. Finally, the experiments show that the new algorithm can effectively jump out of local optimal solution through comparing three continuous space test functions. The new algorithm has obvious advantages in terms of convergence speed compared to traditional EM algorithm, in addition, it is more accuracy than particle swarm optimization (PSO) algorithm. We compare the new chaos electromagnetism mechanism algorithm with ant colony optimization (ACO) algorithm, PSO algorithm, the results represent that new scheme can obtain the optimal path in the path optimization process, which shows that the new method has better applicability in the discrete domain problem.
Small Scale Unmanned Underwater Remotely Operated Crawler (ROC)
Authors: Mohd Aras Mohd Shahrieel , Kamarudin Muhammad Nizam , Che Rusli Muhammad Hanif Bin , Mohd Zainal Muhammad Iktisyam
Published: December 2016

This project is describes the development of underwater vehicle which is remotely operated crawler (ROC). The ROC is developed for the implementation of underwater surface floor and used as for rescuing application. This project is aim to reduce the risk the human life and to solve the disability of human to dive to the underwater for rescue and archeologist work in a longer period. Due to the underwater vehicle that can be operated in a larger depth and reducing the liability of the human life. Moreover, the main problem with this ROC application is to travelling under the uneven of the underwater floor and make sure it always have negative buoyant and a good stability to perform at uneven surface of underwater. Furthermore, the ROC need the overcome the obstacle of the underwater surface without any problem. Therefore, the design of ROC is based on four wheel mechanism to maneuver it at the uneven surface. Besides that, the ROC is tethered and control manually by using a joystick controller and the Peripheral Interface Controller (PIC) are used to control this ROC. This method is to fulfill the target of the project that are to develop and fabricate the ROC and to study the performance of the ROC in terms of controllability, stability and maneuverability. As a result, the movement of ROC is analyzing in order to gain the requirement of stability and the buoyancy in the water. Moreover, the development of the ROC can be tested in several experiments which includes overcome obstacle, controllability, and it performances to be operated on the surface floor of underwater. Hence, this project will gives the good impact and benefit related to the underwater industries and can be applied in the rescuing application in the future.
A Novel Selective and Sensitive Electrochemical Sensor for Insulin Detection
Authors: Zulkarnain Zulkarnain , Suprapto Suprapto , Ersam Taslim , Kurniawan Fredy
Published: December 2016

A novel selective and sensitive electrochemical sensor for insulin detection has been fabricated and investigated. The electrochemical sensor was made from a mixture of silica gel, chitosan and nickel hydroxide (Ni(OH)2) nanoparticles, which was mounted on a silver wire and covered by a glass tube (silica gel/chitosan/Ni(OH)2 nanoparticles paste electrode). The sensor was characterized using cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). The anodic and cathodic currents of the silica gel/chitosan paste electrode with Ni(OH)2 are 580 mA and -750 mA, respectively. Without Ni(OH)2, however, the currents are 150 mA and -250 mA, respectively. The sensitivity and limit of detection of the silica gel/chitosan/Ni(OH)2 nanoparticle paste electrode for insulin detection are 5573 × 10­5pA/pMcm2 and 0.25 pM, respectively. The sensor also shows good reproducibility of measurement for 35 days with an RSD of 0.29%. The fabricated electrodes also show good reproducibility, with an RSD of 1.39%.
Performance Evaluation of Heterogeneous Network Based on RED and WRED
Authors: Mahmood Lafta Wisam , Jabbar Saba Qasim , Ma Guangzhi
Published: December 2016

The developing of wireless networks becomes a very important issue nowadays, since it is considered as an easy-using tool without building new infrastructure to cover a wide working area. Applying TCP protocols with the application demands are implemented this work by considering heterogeneous environment of wireless networks connecting with wired networks. The TCP congestion is critical problem is faced heterogeneous environments, this problem is appeared through sending and receiving huge data from wireless networks to wired networks and vice versa. This work is proposed a new approach of using active queue management (AQM) technique with random early detection (RED) and weight random early detection (WRED) strategies to avoid the expected congestion between the heterogeneous environments. Our simulation results show that the quality of service (QoS) is improved by reducing the queue delay and buffer usage, and by increasing the average throughput and utilizationof the system. The simulation is carried out by using OPNET software to test the proposed models for different scenarios.
Car Service Spare Parts Procurement Process Improvements Based on SOA
Authors: You Yue , Xu Yingcheng , Wang Li
Published: December 2016

There are many kinds of automobile after-sale service spare parts, which are with a complex relationship in replacement and a large time span in models. The management of automobile after-sale service spare parts is a challenge, not only for automobile manufacturer but also for distributor. Therefore, it becomes an important and difficult task for automobile enterprises to do well in the supply of after-sale service spare parts, but also a target for automobile enterprises to explore and pursue continuously. Taking FAW-Volkswagen Automobile Co. Ltd. as the background, we conducted analysis on its procurement management process of spare parts; we also made some improvements on its process and pushed forward the corresponding products and solutions based on SOA (Service-oriented architecture) framework, so as to improve the procurement efficiency of automobile spare parts, and save cost.
Building Segmentation of Satellite Image based on Area and Perimeter using Region Growing
Authors: Yohannes Ervin , Utaminingrum Fitri
Published: December 2016

A building can be known by look shape, color, and texture. Building can be detected by using many method. Region growing is one simple segmentation method because only use seed point. Before segmentation, the image must be preprocessing include sharpening, binerization by otsu method. Sharpening for clarify image and otsu method changed image valued 0 and 1. Next step is post-preprocessing include segmentation using region growing and opening closing operation. And the last process is detection building where building of detection will be signed. In this research, we present region growing for building segmentation by using both area and perimeter as a important variable in the region growing. Value of area more than 10 and perimeter is more than 50 are produced most of building.
Blind Steganography in Color Images by Double Wavelet Transform and Improved Arnold Transform
Authors: PourArian Mohammad Rasoul , Hanani Ali
Published: December 2016

Steganography is a method which can put data into a media without a tangible impact on the cover media. In addition, the hidden data can be extracted with minimal differences. In this paper, two-dimensional discrete wavelet transform is used for steganography in 24-bit color images. This steganography is of blind type that has no need for original images to extract the secret image. In this algorithm, by the help of a structural similarity (SSIM) and a two-dimensional correlation coefficient, it is tried to select part of sub-band cover image instead of embedding location. These sub-bands are obtained by 3-levels of applying the DWT. Also to increase the steganography resistance against cropping or insert visible watermark, two channels of color image is used simultaneously. In order to raise the security, an encryption algorithm based on Arnold transform was also added to the steganography operation.
Comparative Analysis of NOSQL Databases
Authors: Pratiba D. , Deepak Deepak , Shwetha Shwetha
Published: December 2016

The data being generated is increasing rapidly from day to day, most of it being unstructured data. There is a strong need to store, collect, process and analyze this data. NoSQL databases help us to efficiently deal with unstructured data. The paper deals with classifying the databases using CAP theorem. Further, the paper gives a comparative analysis of NoSQL databases with regard to the applications for which it can be used and how secured each of the databases are.
Fire Detection in Still Image Using Color Model
Authors: Lal Gope Hira , Uddin Machbah , Barman Shohag , Islam Dilshad , Khairul Islam Mohammad
Published: December 2016

Fire incidence is one of the major disasters of human society. This paper proposes a still image-based fire detection system. It has many advantages like lower cost, faster response, and large coverage. The existing methods are not able to detect fire region adequately. The proposed method overcome and addresses the issue. A binary contour image of flame that is capable of classifying fire or no fire in image for fire detection is proposed in this study. The color of fire area can range from red yellow to almost white. So, here it is challenges the detected area is actually fire or no fire. Our propose method consists of five parts. Firstly, the digital image is taken from dataset and the digital image is sampled and mapped as a grid of dots or picture elements. We convert image to separate RGB Color range Matrix. We define some rules to select yellow color range of the image later on converted the image to binary range. Finally, binary contour image of flame information that detect the fire. We have analyzed different types of fire images in different varieties and found accuracy 85-90%.
Surface Tracking on Polymeric Insulators Used in Electrical Transmission Lines
Authors: Madi Ali , He Yadong , Jiang Lilong , Yan Baorui
Published: December 2016

Polymeric insulators need proper management and maintenance. Without proper management, the electric devices can be affected by factors such as leakages in the electricity system. In outdoor insulation, the environment subjects the material to a variety of stresses simultaneously that can lead to rapid degradation and loss of the insulation properties. Contamination of the surface of the insulating material, aging, electrical and mechanical stress are some of the forces that will result in the failure of the insulating material. To improve their reliability, research into the formulation of the material and the development of standards to eliminate creepage are being done. This work looks at the phenomenon of surface tracking. It investigates the actual process and looks at the possible types of surface tracking on polymeric insulators used under different environments. This also gives a short description of the emergence of polymeric insulators into the market.