Showing papers by "YMCA University of Science and Technology published in 2016"

Removal of methylene blue and rhodamine B from water by zirconium oxide/graphene

Abstract: Methylene blue (MB) and rhodamine B dyes (RB) were degraded from water using zirconium oxide (ZrO 2 ) and zirconium oxide/graphene composites (ZrO 2 /GR) as photocatalyst. The photocatalytic efficiency was calculated from absorption spectra obtained using UV–visible spectroscopy. It has been observed that photodegradation time as well as photocatalytic efficiency increase with the concentration of catalyst up to a certain limit after which effect was reversed. The degradation was studied as a function of pH also. It was found that photocatalytic efficiency was more in alkaline medium than acidic medium. Degradation of RB takes place at higher value of pH as compared to MB. The degradation time for MB was 1 h using ZrO 2 which get reduced to 32 min using ZrO 2 /GR composite and for RB it reduced to 40 min (using ZrO 2 /GR) from 80 min (ZrO 2 ).

A Survey on Sentiment Analysis and Opinion Mining

Abstract: With www expanding its reach to anything and everything related to our daily lives, people are becoming more and more vocal to express their views or ideas on online portals, blogs etc. So there is a million of reviews for a product. As a result, it becomes difficult to track the opinions of customers. Sentiment analysis finds the subjective information from the source data by using natural language processing. There are many techniques available to classify the polarity of opinions. This paper is an effect to provide the detailed survey of various technology and methods to provide polarity of sentiments. Lastly, the paper also compares the two tools available for sentiment analysis and highlights their effectiveness in doing so.

Effect of Ce doping on the structural, optical and magnetic properties of ZnO nanoparticles

Abstract: In the present study Zinc Oxide (ZnO) nanoparticles and Rare Earth (RE) ion Cerium (Ce) doped ZnO nanoparticles were synthesized by chemical precipitation technique. The synthesized nanoparticles were characterized by X-ray diffraction (XRD), energy-dispersive X-ray spectroscopy (EDX), transmission electron microscope (TEM), photoluminescence spectroscopy (PL), UV–visible spectroscopy and ferromagnetism behavior at room temperature. The XRD and EDX analysis revealed that Ce doped ZnO pattern matched with the ZnO pattern i.e. they exhibited hexagonal wurtzite structure and Ce ions were successfully incorporated into the ZnO nanoparticles. TEM images illustrated the average diameter of synthesized nanoparticles. The average diameter of ZnO and Ce doped ZnO nanoparticles was around 20 nm. PL measurements revealed that ZnO nanoparticles and Ce doped ZnO nanoparticles had an UV emission and a green emission while the Ce ions doping induced a red shift in the UV emission with broadening in the green emission. Direct type of transition of band gaps was confirmed by transmission spectra occurring at 3.5 and 3.2 eV respectively for ZnO nanoparticles and Ce doped ZnO nanoparticles i.e. decrease of band gap energy with doping of Ce ions in ZnO nanoparticles. The magnetization study on the Ce doped ZnO nanoparticles exposed outstanding ferromagnetism property at room temperature.

Soft computing based multi-objective optimization of Brayton cycle power plant with isothermal heat addition using evolutionary algorithm and decision making

Abstract: Display Omitted Two performance parameters are optimized through NSGA-II and MOEA/D.Optimal values of various input parameters are obtained.Significant improvement (about 15%) in thermal efficiency is reported.Suitability of heat exchanger for a particular application can be found.Effects of various input parameters on dual objectives are reported. An irreversible regenerative Brayton cycle model considering internal and external irreversibilities is developed in matrix laboratory (MATLAB) simulink environment and thermodynamic optimization based on finite time thermodynamic analysis along with multiple criteria is implemented. Evolutionary algorithms based on second version of non-dominated sorting genetic algorithm (NSGA-II) and multi-objective evolutionary algorithm based on decomposition (MOEA/D) are employed to optimize power output and thermal efficiency simultaneously where isobaric-side heat exchanger effectiveness (eH), isothermal-side effectiveness (eH1), sink-side effectiveness (eL), regenerator-side effectiveness (eR), and working medium temperature (T5) are taken as design variables. The optimal values of aforementioned design variables are investigated. Pareto optimal frontiers between dual objectives are obtained and the final optimal values of power output and thermal efficiency are chosen via LINMAP, fuzzy Bellman-Zadeh, Shannon's entropy and TOPSIS decision making approaches. The obtained results are compared and the best one is preferred. An improvement in thermal efficiency from 18.29% to 21.10% is reported. In addition to this, variations of different input parameters on the power output and thermal efficiency are conferred and presented graphically. With the goal of error investigation, the maximum and average errors for the obtained results are designed at last.

Modelling the attributes affecting design and implementation of agile manufacturing system

Abstract: Today's volatile market, which is influenced by global competition and changing customers' demands, has made the manufacturing companies to look for new manufacturing systems which can fulfil their requirements for global competition. Agile manufacturing systems (AMSs) are those systems which are capable to meet the requirements of modern manufacturing industries. But adoption and implementation of AMSs is not an easy task. There are certain attributes which not only influence the implementation process but also influence each other. The main objective of this paper is to identify and analyse these attributes. In the present work, these attributes have been identified through the literature, their ranking is done by a questionnaire-based survey and fuzzy agility evaluation (FAE) approach has been utilised in analysing their mutual interaction.

Development and Visualization of Domain Specific Ontology using Protege

Abstract: Background/Objectives: The research aims to explore differences among various ontology development tools, its languages; finally developed and visualized ontology on specific domain Methods/Analysis: Railway Enquiry System (RES) ontology is being developed with the help of Protege tool and visualized using TGViz tab It involves creation of various classes and their instances so that a person can find references to its query Findings: The following manuscript makes readers aware of concept of Semantic Web because the search performed by today's search engines is based on keyword extraction technique which leads to irrelevant and incomplete results marked with low precision and high recall Developed ontology depicts real world scenario of railway reservation system With this ontology, a person can check its seat availability, train fare details, PNR status and many more Improvements/Applications: The given ontology can be extended to develop railway tracking web based application using Web Ontology Language (OWL) and Semantic Web Rule Language (SWRL)

Microstructural Evaluation of NiTi-powder, Steatite, and Steel Balls After Different Milling Conditions

Abstract: The present research deals with the investigation of morphological characteristics after mechanical alloying of Ni–50 at. %Ti in a high-energy planetary ball mill at various milling times (i.e., 4, 8, 30, 40, 50, and 60 h). Crystallite size was observed to be decreased with the increase of milling time, entire titanium fused in the nickel trellis, and results of intermetallic NiTi. The shape of particle also changed from lamella to globular. Steatite-ceramic and hardened balls were separately used for the ball milling. The observations of morphologies revealed that steatite balls are more durable and wear resistant as compared to steel ball. This research shows that ball milling with steatite-ceramic balls is a cost-effective, high purity, and productive step toward the formation of NiTi intermetallic compound with homogeneous composition and desired particle size.

Multi-objective thermodynamic optimization of solar parabolic dish stirling heat engine with regenerative losses using NSGA-II and decision making

Abstract: The proposed work investigates optimal values of various decision variables that simultaneously optimize power output, net-work output and second law efficiency of solar driven Stirling heat engine with regenerative heat losses, conducting thermal bridging losses using evolutionary algorithm based on NSGA-II in Matlab simulink environment. Effects of design parameters as absorber temperature, concentrating ratio, radiative and convective heat transfers are included in the analysis. Pareto frontier is obtained for triple and dual objectives and the best optimal value is selected through four different decision making techniques viz. Fuzzy, Shannon entropy, LINMAP and TOPSIS. Triple objective evolutionary approach applied to the proposed model gives power output, net-work output and second law efficiency as (38.87 kW, 1.24 kJ, 0.3156) which are 18.19, 16.78 and 31.51% lower in comparison with reversible system. With the objective of error investigation, the average and maximum error of the obtained results are figured at last.

Quality concerns in Technical Education in India: A quantifiable quality enabled model

Abstract: Purpose – The paper aims to discuss current Technical Education scenarios in India. It proposes modelling the factors affecting quality in a technical institute and then applying a suitable technique for assessment, comparison and ranking. Design/methodology/approach – The paper chose graph theoretic approach for quantification of quality-enabled model. Further, the paper has validated the approach by taking examples of institutions and applying the methodology. Findings – The paper provides a systematic methodology to build a quality model for quantification of various factors in a technical institute. The qualitative effect represented in form of a single numerical index is a novel method for such representations. The illustrated methodology in the paper is equally useful for comparison and ranking of a set of institutes. Research limitations/implications – Because of the chosen factors in the approach, the methodology may not be equally suitable based on type and size of institute and the geographical ...

DWBAN: Dynamic priority based WBAN architecture for healthcare system

Abstract: The recent advances in autonomous and sensor technology have led to the invention of a new class of intelligent network is called Wireless Body Area Network (WBAN) This elegant network facilitate a broad range of ubiquitous computing applications like Health, Military, Aviation, Environment and Entertainment etc Concerning the huge demand and elevated cost of health, a novel and excellent WBAN architecture was developed in the area of Healthcare systems for providing intelligent and dynamic services The innovation of this architecture lies in dynamic prioritization for handling heterogeneous traffic in healthcare WBAN This paper explores principle for accurate identification and notification of frequent change in various parameters (ie traffic flows, vital signals, available resources etc), classification and scheduling of heterogeneous packet, and generation and transmission of alerts to the MSU The proposed architecture is validated through comparison with existing architectures

Automated ontology generation from a plain text using statistical and NLP techniques

Abstract: Major portion of web pages contains the natural language text and understanding of natural language text from the web pages is a major challenge for machines. Due to this lacking search engines are not able to provide relevant information to the users. This problem is tackled by natural language processing techniques and the development of ontologies from natural language text. With the help of such ontologies search of information can increases manifold. Much research in the field of text processing and automatic ontology building from text has been done to address these challenges. The proposed method in this paper is another effort to build automatic ontology from domain specific text. In this method we first extract concepts from a given domain specific text. We have used a Stanford parser to parse the text and the dictionary of basic concepts is created manually containing all the domain specific concepts and their relationships by recognizing laxico-syntactic patterns in the text corpus. Once concepts and relations among concepts as well as properties of concepts are identified, the extracted information can be represented in the form of graph and OWL.

Barriers evaluation for agile manufacturing system with fuzzy performance importance index approach

Abstract: In reaction to the necessity, the manufacturing processes evolved from mass production technique, through its implementation on agile manufacturing system (AMS). The most complicated part of AMS is an understanding of the barriers and evaluates the performance for each barrier. This article presents an intangible framework of various barriers associated with AMS along with their performance. Using fuzzy performance importance index (FPII) approach, the barriers of AMS presented in the form of a single numerical index value. The proposed model is relatively adaptable from the point of analysis that it provides a prospect to integrate new barriers which could impact on manufacturing processes. In the present work, an effort has been made to develop a mathematical model of these barriers using FPII approach. An index value for each of AMS barriers is proposed which calculate the inhibiting power of these barriers.

A Novel Approach for Crawling the Opinions from World Wide Web

Abstract: Due to the sudden and explosive increase in web technologies, huge quantity of user generated content is available online. The experiences of people and their opinions play an important role in the decision making process. Although facts provide the ease of searching information on a topic but retrieving opinions is still a crucial task. Many studies on opinion mining have to be undertaken efficiently in order to extract constructive opinionated information from these reviews. The present work focuses on the design and implementation of an Opinion Crawler which downloads the opinions from various sites thereby, ignoring rest of the web. Besides, it also detects web pages which frequently undergo updation by calculating the timestamp for its revisit in order to extract relevant opinions. The performance of the Opinion Crawler is justified by taking real data sets that prove to be much more accurate in terms of precision and recall quality attributes.

The Relationship between Service Quality Dimensions, Customer Satisfaction and Loyalty in Technology based Self Service Banking

Abstract: The technology based self service banking TBSSB refers to automated banking services that customer avail without interaction with bank employees. This paper investigates the relationship between dimensions of TBSSB service quality, customer satisfaction and loyalty. The paper also examines the mediating role of customer satisfaction in the relationship. The dimensions are identified and confirmed by conducting EFA and CFA respectively using SPSS 16.0 and AMOS 20.0. Dimensions of TBSSB SQ are identified as Convenience, Reliability & Security, Responsiveness and Personalization. AMOS 20.0 is used to investigate the relationship between dimensions using SEM. It is found that Convenience and personalization have significant effect on customer satisfaction, and personalization and customer satisfaction have significant effect on loyalty. Customer satisfaction is also confirmed as a mediating factor. This study may help bank managers to investigate the customers' quality perceptions about TBSSB services and enlighten banks about the aspects of services to be focused.

Finite Element Modeling of Magnetic Flux Leakage from Metal Loss Defects in Steel Pipeline

Abstract: Magnetic flux leakage is a nondestructive method for inspection of steel pipelines carrying petroleum products, and is most widely used technique. The inspection tool used for this purpose is called instrumented pipeline inspection gauge (IPIG) which moves with the pressure of fluid inside the pipeline. In this paper, a three-dimensional finite element modeling and static simulation of the magnetic circuit of a magnetic flux leakage-based IPIG has been carried out. A FEM-based MagNet software has been used. Rectangular defects of different dimensions on a plate have been modeled, and the magnetic flux leakage response from each of these defects has been studied. Appropriate properties and boundary conditions have been imposed in the simulation. The dependency of some of the characteristic defect dimensions and the leakage flux signal has been studied. In addition, the effect of sensor liftoff on the leakage flux values for specific defect geometry has been studied and understood. Furthermore, the effect of defect orientation on the internal or external surface as against the sensor positioning has also been studied. A comparison of the FEM-simulated flux values with that of experimental leakage flux values has been made.

Effect of lean manufacturing on organisational performance of Indian industry: a survey

Abstract: Most recently, companies have started adopting a lean manufacturing concept on a large scale to beat the global competition. Subsequently, a thorough investigation has started to understand the areas of lean manufacturing, which has been impacting on the operational performance and hence organisational performance parameters directly. Supplier development, supplier feedback, JIT supply from supplier, customer involvement, flow, SPC, TPM, setup reduction, employee involvement and customer participation, has been identified as key implementation areas, which impacts on operational performance parameters such as productivity, quality, cost, delivery, safety, morale and financial performance. A large scale study has been conducted in different Indian industries to verify the results.

Relationship establishment between lean manufacturing and supply chain characteristics to study the impact on organisational performance using SEM approach

Abstract: This research study integrates the two approaches and depicts their combined effect on manufacturing organisational outcomes. This paper includes the design of the theoretical model using the structural equation modelling approach that explains the lean manufacturing and the supply chain characteristics have the impact on the organisational performance. The evaluation of the model is done in AMOS 20 software using the data collected through the survey questionnaire from the industry experts. This study provides the valuable insights for the researchers and the practitioners whose research, especially seeks in the area of improvement in organisational performance. The present work reveals the impact on organisational performance by coupling the lean manufacturing approach in the organisational supply chain, i.e., operational excellence; enhance customer services; optimum resource utilisation and ultimately, the strategic excellence etc.

Performance enhancement of rectangular microstrip patch antenna using double H shaped metamaterial

Abstract: In this paper a high performance rectangular microstrip patch antenna (RMPA) has been designed using doubleHshaped metamaterial. First, the doubleHshaped metamaterial has been designed and optimized at 5.2 GHz resonant frequency of patch antenna. It has been found that embedding of this metamaterial into the substrate beneath the reference patch antenna improves its return loss and bandwidth without changing the resonant frequency and gain. To further enhance the gain and efficiency of the metamaterial embedded RMPA a superstrate of double H shaped metamaterial has been applied at the distance of -/3 over it. Finally, a high gain, broadband and good impedance matched metamaterial inspired RMPA has been obtained. The proposed antenna was simulated and optimized using HFSS software. The prototype antenna has been fabricated and measured results of the proposed antenna are found to be in good agreement with the simulated results.

Improvement of Quality of Service Parameters in Dynamic and Heterogeneous WBAN

Abstract: With growth in population and diseases, there is a need for monitoring and curing of patients with low cost for various health issues. Due to life threatening conditions, loss-free and timely sending of data is an essential factor for healthcare WBAN. Health data needs to transmit through reliable connection and with minimum delay, but designing a reliable, and congestion and delay free transport protocol is a challenging area in Wireless Body Area Networks (WBANs). Generally, transport layer is responsible for congestion control and reliable packet delivery. Congestion is a critical issue in the healthcare system. It not only increases loss and delay ratio but also raise a number of retransmissions and packet drop rates, which hampers Quality of Service (QoS). Thus, to meet the QoS requirements of healthcare WBANs, a reliable and fair transport protocol is mandatory. This motivates us to design a new protocol, which provides loss, delay and congestion free transmission of heterogeneous data. In this paper, we present a Dynamic priority based Quality of Service management protocol which not only controls the congestion in the network but also provides a reliable transmission with timely delivery of the packet.

A Framework to Measure the Service Quality of Distributor with Fuzzy Graph Theoretic Approach

Abstract: A combination of fuzzy logic and graph theoretic approach has been used to find the service quality of distributor in a manufacturing supply chain management. This combination is termed as the fuzzy graph theoretic (FGT) approach. Initially the identified factors were grouped by SPSS (statistical package for social science) software and then the digraph approach was applied. The interaction and inheritance values were calculated by fuzzy graph theory approach in terms of permanent function. Then a single numerical index was calculated by using permanent function which indicates the distributor service quality. This method can be used to compare the service quality of different distributors.

Identification and modelling of the various factors affecting the productivity of FMS

Abstract: The last few years have witnessed unparalleled changes in the world market and the manufacturing companies have to adjust to these unforeseen changes in the market quickly to survive. So more and more companies are now opting for low volume, high variety flexible manufacturing system (FMS) instead of the conventional mass production. Though FMS provides a lot of strategic and tactical benefits, yet all of these may not be possible with all installations. A manufacturing manager should know what are the specific benefits he is expecting from the FMS installation and what is the time span within which these benefits start coming in. In the present paper, an attempt has been made to accomplish the task of enlisting the factors affecting the productivity of FMS installation and further an attempt has been made to model these different factors using the interpretive structural modelling (ISM). This model is further strengthened using MICMAC analysis by defining the driving power and dependencies of these factors.

OE-LEACH: An optimized energy efficient LEACH algorithm for WSNs

Abstract: Wireless Sensor Networks (WSNs) are designed by hundreds or thousands of tiny, low cost and multifunctional sensor nodes. Each sensor node has very low battery life. Sensor nodes have finite storage capabilities, transmission and processing range and energy resources are also limited. There are many design issues in WSNs such as mobility, energy consumption, network topology, data aggregation, localization, production cost, security, network size and density etc. Routing protocols provide efficient working of the network, increase network lifetime, responsible for maintaining the routes in the network and perform reliable multi-hop communication under various conditions. LEACH (Low Energy Adaptive Clustering Protocol) is one of the hierarchical protocol in WSNs. LEACH uses TDMA MAC Protocol. During random data distribution, a number of TDMA slots are wasted. Because sensor nodes don't know either they have data to send or not, they continuously listen to the medium and this result in idle listening problem. This paper proposed OE-LEACH (An Optimized Energy Efficient LEACH Algorithm for WSNs) to enhance the performance of the LEACH Protocol, reduce time delay and energy consumption. Network Lifetime and throughput of WSN also increases. The Proposed method is simulated in MATLAB 2010a.

Operational performance improvement by implementation of value stream mapping - a case study from Indian industry

Abstract: Lean manufacturing is a preferred approach adopted by most of manufacturing industries to improve their manufacturing performance. Value steam mapping is one of the major enabler of lean manufacturing. In value stream mapping whole value stream is mapped in terms of flow of information and material throughout the value stream. Basic information about the flow and process are recorded, analysed, presented and implemented in improved manner hence making VSM a powerful tool for process improvement. This paper is an attempt to present a real life example of improvement gained through implementation of VSM enabler of lean manufacturing. The purpose of this paper is to discuss the measurable impact of lean manufacturing implementation on operational performance with the use of value stream mapping enabler of lean manufacturing.

Performance evaluation of flexible manufacturing system using digraph and matrix/GTA approach

Abstract: The aim of this paper is to identify and analyse various measures and sub-measures that could influence the performance of flexible manufacturing system (FMS) and to develop a model to manage these measures. In this research work, digraph and matrix methodology has been utilised for determining the impact of different measures on the performance of FMS with the help of a single numerical value, i.e., index of performance. The findings of this study have important managerial significance. The management can determine the measures which strongly affect the performance of FMS with the help of this approach and can obtain better insight and guidelines for determining various decisions relating to process and operations improvement to improve the performance of the system. The procedure helps to compare different industries in terms of their performance index. If the performance index value of an industry is not as per with the required range, then, performance index of all the measures should be compared and weak measures should be made stronger by making improvements in the concerned measuring elements. Evaluation of performance index for an organisation, comparison of different industries performance and ways to improve the performance are a unique contribution in this domain.

Mathematical modeling and fuzzy availability analysis of skim milk powder system of a dairy plant

Abstract: Conventional reliability analysis relies on the probability theory and the binary states i.e. success or failed state of a component or system only. This type of reliability analysis amplifies the uncertainty in computation of system reliability. To overcome this problem, the concept of fuzzy reliability has been used in the evaluation of reliability of the system and the binary states i.e. success and failure of a component or system is viewed in a fuzzy way. Mathematical formulation of the fault-tolerant skim milk powder system is carried out using mnemonic rule and the governing Chapman–Kolmogorov differential equations are solved with fourth order Runge–Kutta method. In this paper, the effect of failure rate, repair rate of each subsystem and coverage factor on fuzzy availability of skim milk powder system is analyzed.

Automatic speech recognition using optimal selection of features based on hybrid ABC-PSO

Abstract: Optimal Speech feature extraction which tries to acquire a parametric illustration of an input speech signal plays a vital role in the overall performance of an Automatic Speech Recognition (ASR) system. A good feature extraction technique along with feature selection algorithm should capture the important features of the signal and also should reject some irrelevant features. Feature selection is a critical task which can influence the performance of pattern classification and recognition system. In this paper, we have presented a hybrid evolutionary algorithm called Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) for optimal feature extraction and selection strategy. The proposed method consists of three stages, preprocessing, feature extraction and selection, and recognition. Initially, the preprocessing is done by wiener filter to reduce the noise level. Next, we extract eight type of statistical and acoustic features in the feature stage. The optimal set of extracted features is selected by using hybrid ABC-PSO algorithm. Finally, these optimized features are used for training the Support Vector Machine (SVM) classifier and based on these optimized features of the given input speech signal the corresponding text is displayed as the output. The proposed ASR is implemented on the MATLAB working platform and the experimental results show that overall performance of the system is high and the proposed hybrid algorithm is best suited for speech recognition.