Showing papers by "Sri Ramakrishna Engineering College published in 2010"
01 Oct 2010
TL;DR: In this paper, the authors presented the performance analysis of various control strategies used in the dispatch of stored wind energy in remote hybrid wind/diesel power system for a stand-alone unit in a remote location.
Abstract: The domestic consumers in the remote areas not served by the main electrical grid network, diesel generators are the usual choice for power supply As a result, plenty of servicing and maintenance needed onto these diesel generators Thus, we proposed an idea of introducing wind turbine working together with the diesel generators to form a hybrid power system This paper presents the performance analysis of various control strategies used in the dispatch of stored wind energy in remote hybrid wind/diesel power system The Fuzzy logic controller for various dispatch strategies were designed and analyzed This paper utilizes the MATLAB SIMULINK software in the modeling of such a wind/diesel/battery hybrid power system for a stand-alone unit in a remote location
12 citations
29 Mar 2010
TL;DR: The primary focus is to develop a framework to support the SPI in small organizations so that they meet their business goals successfully along with adhering to CMMI standards.
Abstract: Software development is carried out in different methods and using several standards. Software Process Improvisation (SPI) is the key for developing quality software. Software development companies are not only big organizations but there are many small settings usually called SME (Small and Medium Enterprises) or SMB (Small and Medium Business) which plays a major role in the software industry. CMMI model is applicable to small organizations also for process improvisation. The primary focus is to develop a framework to support the SPI in small organizations so that they meet their business goals successfully along with adhering to CMMI standards.
10 citations
18 Jun 2010
TL;DR: A novel method of HRV analysis for mental stress assessment using fuzzy clustering and robust identification techniques is presented, which consists of online monitoring of heart rate signals, and signal processing using the Dyadic wavelet.
Abstract: This paper presents the evaluation of mental stress assessment using heart rate variability. The heart rate signals are processed first using Fourier transform, then it is applied to wavelet transform. The activity of the autonomic nervous system is noninvasively studied by means of autoregressive (AR) frequency analysis of the heart-rate variability (HRV) signal. Spectral decomposition of the Heart Rate Variability during whole night recordings was obtained, in order to assess the characteristic fluctuations in the heart rate. This paper presents a novel method of HRV analysis for mental stress assessment using fuzzy clustering and robust identification techniques. The approach consists of 1)online monitoring of heart rate signals, 2) signal processing using the Dyadic wavelet.
8 citations
18 Jun 2010
TL;DR: The objective of the current work is to develop an automatic tool to identify microbiological data types using computer vision and pattern recognition and the effectiveness of the proposed method has been verified through experimentation using fifty popular bacterial image databases.
Abstract: The objective of the current work is to develop an automatic tool to identify microbiological data types using computer vision and pattern recognition. Current systems rely on the subjective reading of profiles by a human expert. This process is time-consuming and prone to errors. Bacteriophage (phage) typing & Fluorescent imaging methods are used to extract representative feature profiles and identify the bacterial types. For feature selection of Bacterial identification system, the most successful method seems to be the appearance-based approach, which generally operates directly on images or appearances of bacterial objects. The image segmentation, Linear Discriminant Analysis (LDA), Direct Fractional LDA (DFLDA) and Principal Component Analysis (PCA) are the powerful tools used for feature extraction. Then the principal components are analyzed by DFLDA and simple Nearest Neighbor Classifier technique is used to identify the type of bacteria. The effectiveness of the proposed method has been verified through experimentation using fifty popular bacterial image databases.
8 citations
TL;DR: In this paper, a new hydrazinium copper(II) hydrogen ethylenediaminetetraacetate monohydrate, [N2H5Cu(HEDTA)]H2O has been prepared and characterized by analytical, spectral, thermal and X-ray single crystal structure techniques.
Abstract: New hydrazinium copper(II) hydrogen ethylenediaminetetraacetate monohydrate, [N2H5Cu(HEDTA)]H2O has been prepared and characterized by analytical, spectral and thermal techniques. The conductivity value indicates the non-electrolyte nature of the complex. Analytical and bond length measurements indicate the distorted octahedral geometry around the copper ion with EDTA acting as pentadentate ligand. The crystal structure of the complex has been determined from single crystal X-ray analysis. The complex crystallizes in orthorhombic system; space group Pccn. The unit cell parameters are a = 25.1858(14) A, B = 7.3305(4) A, C = 15.8291(9) A, α = 90°, β = 90°, γ = 90°, V = 2,922.4(3) A3 and Z = 8. The copper ion is six coordinated, three carboxylate oxygen atoms and two nitrogen atoms from EDTA occupy five coordination sites, while the sixth site is occupied by hydrazinium cation and a water molecule present outside coordination sphere as lattice water. The complex undergo multi-step degradation to give copper oxide as the final residue. New hydrazinium copper(II) hydrogen ethylenediaminetetraacetate monohydrate, [N2H5Cu(HEDTA)]H2O has been prepared and characterized by analytical, spectral, thermal and X-ray single crystal structure techniques.
8 citations
TL;DR: In this paper, the major time delay issues in supply chain of an automobile components manufacturing organization have been investigated and a proactive supply chain risk management model has been developed to analyse these issues.
Abstract: Today's global market demands top priority on outstanding quality, better reliability and on-time delivery of products using effective supply chain executions to stay against fierce competition. Hence, it is essential to identify and address the various issues in supply chain executions in a cursory manner. In this research work, the major time delay issues in supply chain of an automobile components manufacturing organisation have been investigated. A proactive supply chain risk management model has been developed to analyse these issues. The predominant time delay is prioritised for risk mitigation. Corrective measures have been recommended for implementation to achieve loss reduction.
6 citations
TL;DR: Wavelet Transform analysis includes Continuous Wavelet Transform (CWT) to analyze the signal for the diagnosis of various gastric disorders to acquire the myoelectrical activity of the stomach as it is of higher sensitivity in acquiring the EGG signals when compared to passive electrodes.
Abstract: Electrogastrogram (EGG) is obtained with the help of Active Electrode (AE) from the human being cutaneously. It is a non-invasive, easy procedure that is tried as a preliminary investigation to assess the need for endoscopy. Active electrode setup is proposed in this paper to acquire the myoelectrical activity of the stomach as it is of higher sensitivity in acquiring the EGG signals when compared to passive electrodes. Active electrode based acquisition is most reliable as signal loss is prevented. Interference is prevented completely by using appropriate filters and by using Electromagnetic Interference (EMI) shield. EGG recorded in more than hundred and fifty human being includes the normal individual and patients with digestive system disorders such us nausea, dyspepsia, vomiting, peptic ulcer, etc. A database is created for the analysis. The change in frequency and power for disorders in patients compared to normal individuals form the power spectrum plot. Wavelet Transform analysis includes Continuous Wavelet Transform (CWT) to analyze the signal for the diagnosis of various gastric disorders as mentioned above. In wavelet analysis, the data of a patient or normal individual is considered. The signal is reconstructed with a data obtained through a data scope. This input signal undergoes Principle Component Analysis (PCA) as a preprocessing manoeuvre and then the interference and noise in the EGG signals are removed to obtain de-noised signal. The denoised EGG signal is plotted for power spectral density estimation with Welch power spectral Density Estimation. As a result of the proposed method the power variation is found to be 40-52dB and frequency is detected as 6.0-8.5 cpm in preprandial and 1.5-2.5 cpm in postprandial for ulcer patients, 4-5 cpm in preprandial 1.5-2.8 cpm in postprandial for dyspepsia patients and 3.0-3.15 cpm for normal individuals. Keywords: Active Electrode Electrogastrogram, Electromagnetic Interference, Preprandial, Postprandial, CWT DOI: 10.4038/sljbmi.v1i1.1482 Sri Lanka Journal of Bio-Medical Informatics 2009; 1 (1): 21-27
6 citations
TL;DR: This paper focuses on developing an effective, inexpensive surface recognition system which could be implemented in the modern manufacturing environments and results in better performance in case of mass production.
Abstract: It is universally acknowledged that the performance of any machining process is usually evaluated in terms of its productivity and surface quality. Each of these controlling criteria are affected directly and in different way by the tool edge wear, fracture, chatter, surface roughness, cutting force etc., among these responses from machining operation, surface roughness is always considered as one of the most reliable measures for tool wear monitoring and breakage detection. This paper focuses on developing an effective, inexpensive surface recognition system which could be implemented in the modern manufacturing environments. Experiments have been conducted on Aluminium 6061 T6 and for measuring surface roughness based on Design of Experiments (DOE). A statistical multiple regression model has been developed for correlating the values obtained. For the purpose of correlation, DOE software has been used and ANOVA analyses have been carried out to identify the significant factors affecting surface roughness. The experimental values are analyzed in the optimizer technique which uses the Design of Experiment (DOE) principles to generate parameters depending on the surface roughness needed in the manufacturing environment. Thus in case of mass production, time for inspection could be reduced and hence the surface recognition system results in better performance.
3 citations
01 Nov 2010
TL;DR: In this paper, a finite element model of high speed spindle housing is developed and simulated using computational fluid dynamics software to determine the temperature distribution considering the impedance of the motor coils, and the effects of different heat sources and varied number of loops are examined in detail.
Abstract: The purpose of this paper is to numerically analyze the three-dimensional fluid motion and temperature distribution in built-in motorized high-speed spindle housing having axial water cooling channel with rectangular crossection. A three dimensional finite element model of high speed spindle housing is developed and simulated using computational fluid dynamics software to determine the temperature distribution considering the impedance of the motor coils. The effects of different heat sources and varied number of loops are examined in detail. The model is based upon a custom-built high performance spindle, which is used in the printed-circuit board industry, with a maximum speed of 160,000 rpm. The results indicate that the designed cooling loop is more effective and increase in temperature can be reduced significantly
3 citations
26 Mar 2010
TL;DR: This paper proposes to integrate an authorization protocol with the effective trigon-based authentication technique based on the user’s role to provide effective grid security in an efficient manner.
Abstract: Security is a vital part of an integrated grid application in which heterogeneous services and resources belonging to multiple domains are distributed dynamically. Authentication and authorization are the major security concerns in grid environment. Most of the grid security mechanisms stress on authentication, and not on authorization. This paper proposes to integrate an authorization protocol with the effective trigon-based authentication technique based on the user’s role. This integrated trigon-based authentication – authorization protocol provides effective grid security in an efficient manner.
3 citations
TL;DR: In this paper, the authors have synthesized CoMnP thin films from aqueous bath with organic additive saccharin using electrochemical deposition technique and examined its magnetic properties.
Abstract: Electrodeposition technique provides an easy way to produce magnetic thin films. Magnetic thin films are extensively used in various magnetic induction writing heads, magnetic MEMS devices and other magnetic sensing devices. Thus we have synthesized CoMnP thin films from aqueous bath with organic additive saccharin using electrochemical deposition technique and examined its magnetic properties. The electrochemical deposition method is especially interesting due to its low cost, high throughput and high quality of deposit. The CoMnP alloys were electrodeposited galvanostatically for various composition of the bath solution and for various concentration of the additive saccharin. The effects of electrodeposition condition and organic additive saccharin on the magnetic properties of CoMnP thin films were investigated. Structure and the Morphology of the film were studied using XRay diffractometer (XRD) and scanning electron microscopy (SEM). Elemental compositions of the film were studied using energy dispersive X-Ray Spectroscopy (EDS). Magnetic properties of the deposited films were studied using Vibrating sample Magnetometer (VSM). SEM measurement indicated that the surface morphology was affected by the nature of the organic additives to a large extent. CoMnP films formed under optimized conditions are found to be polycrystalline in nature with hcp structure. Moreover, it was obvious that the presence of organic additive saccharin, in the electroplating bath, modified the magnetic properties of the CoMnP thin films according to the VSM measurements.
01 Dec 2010
TL;DR: It is necessary to have well defined error detection and error reporting methods to increase the usability and serviceability of existing data transfer protocols and data management systems.
Abstract: Traditional distributed computing systems closely couple data handling and computation The key features of the first batch scheduler specialized in data placement and data movement is Stork. Stork is especially designed to understand the semantics and characteristics of data placement tasks, which can include data transfer, storage allocation and de-allocation, data removal, metadata registration and replica location. The Stork also has its own drawbacks in detecting the failures resulting from back-end system level problems, like connectivity failure which is technically untraceable by users. Error messages are not logged efficiently, and sometimes are not relevant/useful from users' point-of-view. Our study explores the possibility of efficient error detection and reporting system for such environments. Besides, early error detection and error classification have great importance in organizing data placement jobs. It is necessary to have well defined error detection and error reporting methods to increase the usability and serviceability of existing data transfer protocols and data management systems.
TL;DR: A new approach is given for identifying the human body parts like head, hands and legs for activity analysis using six dissimilar colour space algorithms such as RGB, YCbCr, HSV1,HSV2, HSI and rgb (Normalised RGB).
Abstract: The objective of this paper is to give a new approach for identifying the human body parts like head, hands and legs for activity analysis. Here, the proposal is made for using different colour space algorithms for identifying the elements of the human body. We have used six dissimilar colour space algorithms such as RGB, YCbCr, HSV1, HSV2, HSI and rgb (Normalised RGB) to analyse the human activities in indoor video sequences. Here, 11 activities have been considered. In the proposed work, the RGB skin model provides the efficiency of 96.35% whereas YCbCr colour space algorithm gives 45.51%.
Journal Article•
TL;DR: There was a notable reduction in the parameters, which suggests that pathogens of biomedical waste can be effectively destroyed using solar disinfection with lime stabilization process.
Abstract: The present investigation is an attempt to study the effect of solar treatment for disinfection of biomedical wastes with and without lime stabilization process. The laboratory experiments were conducted using box type solar disinfector with and without lime. The study involves the determination of parameters, such as COD, total solids, volatile solids, electrical conductivity, alkalinity and microbial colony count at different stages of disinfection. The reduction percentages of COD and alkalinity were 77% and 76% respectively for solitary solar disinfection, whereas for solar disinfection with lime stabilization COD and alkalinity were reduced to 65.79% and 70.87% respectively. The microbial colony count due to only solar disinfection was reduced from 15 x 10(11) microbes/mL to 9 x 10(7) microbes/mL whereas due to solar disinfection with lime stabilization, the microbial colony count reduced to 8 x 10(5) microbes/mL within 6 hrs. There was a notable reduction in the parameters, which suggests that pathogens of biomedical waste can be effectively destroyed using solar disinfection with lime stabilization process.
TL;DR: In this paper, several hydrazine complexes of lanthanide(III) ions of the compositions Ln(N 2H3SOO)3(H2O), Ln2(SO3)3·2N2H4 and N2H5Ln(SO 3)2(H 2O)2 where Ln=Eu, Gd, Tb or Dy have been prepared and characterized by analytical, spectral, thermal and X-ray powder diffraction techniques.
Abstract: Hydrazine hydrate reacts with sulphur dioxide in aqueous solution in the presence of heavier lanthanide(III) ions to give variety of complexes. The nature of product formed is highly pH dependent. Several hydrazine complexes of Ln(III) ions of the compositions Ln(N2H3SOO)3(H2O), Ln2(SO3)3·2N2H4 and N2H5Ln(SO3)2(H2O)2 where Ln = Eu, Gd, Tb or Dy and the precursors for the hydrazinium lanthanide sulphite hydrates, the anhydrous lanthanide hydrazinecarboxylates, Ln(N2H3COO)3 where Ln = Eu, Gd, Tb or Dy have been prepared and characterized by analytical, spectral, thermal and X-ray powder diffraction techniques. The infrared spectral data are in favour of the coordination of hydrazine and water molecules. These complexes decompose in three stages to yield respective oxides as final residue. The final residues were confirmed by their X-ray powder diffraction patterns and TG mass losses. The SEM photographs of some of the oxides show a lot of cracks indicating that large quantity of gases evolved during decomposition.
Proceedings Article•
20 Feb 2010
TL;DR: Comparisons of energy efficiency for uniform and random node densities are carried out for the optimal transmission range for energy consumption using an energy consumption model and simulation results using NS-2 simulator are compared in an effective manner.
Abstract: Wireless Sensor Networks (WSN) consist of high node density, which are highly resourceconstraint in terms of size, power and bandwidth. The energy optimization in sensor nodes is very important design challenge for Wireless Sensor Networks. Clustering is the important technique to save energy. In this paper, Connected Dominating Set (CDS) generated by clustering is used to select the workers and sleepers of the network; it will be depending on the transmission range of each node. The transmission range optimization is a key issue to obtain energy conservation in WSN. But there is a trade off between transmission range and the number of route hops, node density and traffic load. In this paper, the comparisons of energy efficiency for uniform and random node densities are carried out for the optimal transmission range for energy consumption using an energy consumption model. The simulation results using NS-2 simulator is compared in an effective manner.
16 Sep 2010
TL;DR: Data mining technique, clustering is used on microarray data to group genes with similar functionalities based on Go ontology to prove that each of these new cluster sets reveal biological associations that were not apparent from clustering the original gene expression data.
Abstract: Bioinformatics is the science of managing, mining and interpreting information from biological sequences and structures. DNA Microarrays, also known as gene chips, provide an effective tool for monitoring and profiling gene expression patterns by measuring the expression levels of thousands of genes simultaneously. Clustering is a popular technique for microarray data to finding groups of genes with similar functionalities based on GO Ontology. In this paper, data mining technique, clustering is used on microarray data to group genes with similar functionalities based on Go ontology. Gene Ontology is used to provide external validation for the clusters to determine if the genes in a cluster belong to a specific Biological Process, Cellular Component and Molecular Function. A functionally meaningful cluster contains many genes that are annotated to a specific GO terms. To prove that each of these new cluster sets reveal biological associations that were not apparent from clustering the original gene expression data.