bluuebunny/crossref_metadata_2025 huggingface dataset:
Bayesian probabilistic approach by blind source separation for instantaneous mixtures
Authors: Agrawal Pallavi , Shandilya Madhu
Published: November 2018

In this work, the novel method of blind source separation using Bayesian Probabilistic approach is discussed for instantaneous mixtures. This work demonstrates the source separation problem which is well suited for the Bayesian approach. This work also provides a natural and logically consistent method in which prior knowledge can be incorporated to estimate the most probable solution. The distri-butions of the coefficients of the sources in the basis are modeled by a generalized Gaussian distribution (GGD) which is dependent on the sparsity parameter q. This method also utilizes prior distribution of the appropriate sparsity parameter of sources present in the mixture. Once, the prior distribution for each parameter (like mixing matrix, source matrix, sparsity parameter and error or noise covariance matrix) are defined, the Bayesian a posterior probabilistic approach using Markov chain Monte Carlo (MCMC) method is exploited in estimation of a posterior distribution of mixing matrix, source matrix, sparsity parameter and covariance matrix of error. The blind source separation provides the results in the form of signal to distortion ratio (SDR), signal to artifacts ratio (SAR) and signal to interference ratio (SIR) at different SNR.
All-Optical NOT Gate Based on Nanoring Silver-Air Plasmonic Waveguide
Authors: Falah Fakhruldeen Hassan , Safaa Mansour Tahreer
Published: November 2018

In this work, all-optical plasmonic NOT logic gate was proposed by using metal-insulator-metal (MIM) plasmonic waveguides design. This logic gate is numerically analyzed by COMSOL Multiphysics 5.3a. Recently, plasmonics have attracted more attention due to its huge applications in all optical signal processing. Due to it’s highly localization to metallic surfaces, surface plasmon (SP) may have many applications in sub wavelength to guide the optical signal in waveguides to overcome the diffraction limit which considered a big problem in conventional optics. The proposed design of MIM structure is consist of a dielectric waveguides plus metallic claddings, which guide the incident light strongly in the insulator region. Strong localization and relatively simple fabrication make the MIM waveguides the potential key design of Nano-scale all optical devices. Our design consists of symmetric ring structures with straight waveguides which based on MIM structure. All-optical logic gate (NOT gate) behavior is achieved from utilizing the interface between straight waveguides and ring structure waveguides. By switching the activation of the control port, the propagation of the outgoing field in the output waveguide will be changed. As the simulation results show, the proposed structure could operate as an all-optical NOT logic gate. This gate would be a potential component in many applications of all-optical signals processing.
Hybrid modulation schemes for data transmission improvement of indoor visible light communication system
Authors: Zekry Abdelhalim , Ghandour Christena , A. Mohammed Nazmi , El-Rabaie S
Published: November 2018

This work enhances the bit rate characteristics, receiver sensitivity and power requirements of multicarrier modulation schemes (MCM) for visible light communication (VLC) dimming control system at bit error rate (BER) less than 10-3. This study develops the mathematical formulation for merging pulse position modulation (PPM) and overlapping pulse position modulation (OPPM) with M-ary quadrature amplitude modulation DC-Biased optical orthogonal frequency division multiplexing (M-QAM DCO OFDM), which can achieve efficient data transmission while maintaining communication quality. These schemes are then compared with the conventional merging (i.e M-QAM DCO OFDM with pulse width modulation (PWM)). Relating to the recent advances in the field, the additional comparative study is established with the latest merging platform (i.e. M-QAM DCO OFDM with multiple pulse position modulation (MPPM)).Â
Application of Light Expanded Clay Aggregate as Replacement of Coarse Aggregate in Concrete Pavement
Authors: A Pavithra , De Rose D Jerosia
Published: November 2018

The main aim of this project is to develop a light weight concrete (LWC) by replacing the coarse aggregate with light weight expanded clay aggregate. The damage caused in LWC is less significant than conventional concrete and therefore the maintenance cost is also reduced. In order to understand the effect of light weight aggregate in concrete, conventional concrete of strength 30MPa was designed with the density of 2400 kg/m3. Then the natural coarse aggregates were replaced by clay aggregates and light weight concrete mix of density 1800 kg/m3 was designed to meet the desired strength requirement. As the density of the concrete tends to be lowered, the strength of the concrete may also tend to decrease. Hence suitable chemical and mineral admixture is to be incorporated in addition to significant water reduction to meet the strength requirement. Cement content kept constant in both the cases. The details of mechanical properties and durability properties of conventional and light weight concrete are reported in this paper.
Study on Strength and Durability Characteristics of Hybrid Fibre Reinforced Self-Healing Concrete
Authors: Subhashini S. , K.Yaswanth K. , S.V.Prasad D
Published: November 2018

The main disadvantage of using concrete, which is accepted to be irreplaceable building material, is the formation of micro cracks. This is due to the fact that concrete is weak in tension. To arrest the microcracks developed in the concrete and to eliminate the drawbacks due to microcracks, the recent trend in the innovation of the concrete is the usage of self-healing concrete or bacterial concrete. It is based on the principle that; the bacteria present in the moisture of the concrete repairs or heals the cracks on the concrete. Another recent advancement in the field of concrete technology is the usage of the fibres in the concrete. It not only arrests the cracks in the concrete but also increases the strength and durability characteristics and also it reduces the quantity of cement to some extent. This paper tries to attempt the usage of hybrid fibres along with the self-healing concrete to enhance the desirable characteristics of hybrid fibres as well as bacterial concrete. This experimental programme investigates the concrete on its strength and durability characteristics.
Study of the Process of Lubricant Application on the Friction Surface Using Aerosol Lubricators
Authors: Voronin Serhii , Hrunyk Ivan , Asadov Bashir , Onopreychuk Dmytro , Stefanov Volodymyr
Published: November 2018

The problem of calculation and forecasting main parameters of aerosol lubricators designed for applying lubricants on angled to the horizon friction surfaces e.g. the lateral surfaces of a rail and a wheel flange of railway rolling stock is solved in the article.  The main parameters of lubricators being considered in the article are compressed air supply, the geometry of a spray nozzle and the boundary thickness of a lubricant layer applied to the friction surface where there is no creep of a lubricant under the action of gravity. A structural model of application and retention of a lubricant on a friction surface has been proposed. A mathematical model to calculate main parameters of aerosol lubricators has been developed. The model establishes the connection between the geometry of lubricated friction surfaces, physico-chemical properties of lubricants and the diameter of nozzle aperture and the compressed air supply. The example of calculation of the boundary thickness of a lubricant layer applied to the friction surface under the condition of the absence of its creeping under the action of gravity has been presented in the article. The article presents the results of experimental studies the process of aerosol application of a lubricant to the friction surface.
Mathematical Modelling of a Specialized Vehicle Caterpillar Mover Dynamic Processes Under Condition of the Distributing the Parameters of the Caterpillar
Authors: Strutynskyi Serhii , Kravchu Volodymyr , Semenchuk Roman
Published: November 2018

Features of a specialized vehicle caterpillar mover are considered. A dynamic model of caterpillar transverse oscillations as a system with distributed parameters is proposed. The differential equation in partial derivatives is obtained and its connection in the form of a decomposition by normal oscillation types is found. The analysis of frequencies and the type of caterpillar oscillations has been made. Inertial loads have been found. The mathematical model of forced oscillations of a caterpillar under the influence of random loads is developed and the mathematical modelling is executed. An analysis of the vibration movements and vibration velocities of the intersections of the caterpillar is carried out. The mathematical modeling of the caterpillar oscillations caused by stochastic discrete loads was carried out. A model of random discrete loads has been developed, calculations of the realization of random loads are performed. It was established that the transverse discrete loads occur in points of mass concentration on the caterpillar surface.
Study on the Prospects of Use the Group D Engine Oil in Locomotive Diesel Engines
Authors: Кravets Andrii , Yеvtushenko Andrii , Pogrebnyak Andrii , Romanovych Yevhenii , Afanasov Heorhii
Published: November 2018

It was suggested to use group D engine oil with advanced properties instead of group V and G engine oils, which are used in locomotive diesel engines today, to improve the performance of the Ukrainian locomotive fleet of railways.A series of comparative laboratory studies of these oil groups was conducted to substantiate this suggestion which proved better lubrication and tribological performance of group D engine oil and allowed its performance tests.Tests conducted on diesel 5D49 for mileage of more then 100,000 km have demonstrated the advantages of group D oils, such as more stable viscosity, neutralizing ,washing and other properties. Studies on the four-ball wear test machine proved better anti-wear, anti-scoring and anti-friction properties of group D engine oil, which appear even after the continuous use of oils in locomotive diesels. Decrease in burning loss of engine oil was recorded, resulting in the decrease of oil fuel consumption for group D by 30-60% vs. the group G oil.According to the results of performance tests, group D engine oil has been recommended for the use in 5D49 locomotive diesels and some advice on its future implementation have been provided.
Mathematical Modeling of Torsional and Longitudinal Oscillations in a Mine Winding Plant as a Multimass System
Authors: Kozar Leonid , Romanovych Yevhenii , Afanasov Heorhii , Pashchenko Viktor , Hennadi Radionov
Published: November 2018

The purpose of the study is to determine the dynamic loads in the mechanical system of a mine winding plant. A 6-mass equivalent dynamic design model is constructed by reducing the number of discrete masses in the original 12-mass system by a special method. Spectra of natural oscillation frequencies of the initial and design systems are obtained. Differential equations that describe oscillations in the shaft line and ropes are drafted. Oscillation curves of the moments in the elastic coupling of the design system are obtained using numerical integration of the equations. The dynamic response factors are calculated. It was confirmed that the conversion of a 12-mass system into a 6-mass system almost does not affect the accuracy of determining the dynamic loads in the transmission line of the hoist in a given frequency range. The proposed methodology for constructing a mathematical model can be used not only for mine hoists, but also for other machines with multiple moving masses.
Analytical Modeling of Oscillations of Movable Operating Elements of a Roll-Drum Activator
Authors: Krot Alexander , Ruchka Artem , Savchenko Alexander , Krot Olga , Supryaga Dmitry
Published: November 2018

The article investigates the equipment for mechanical activation of building mixtures and the effect of the resulting oscillations on the activation efficiency and on the stability of the equipment operation. The activation of the entire building mixture with filler and wetted by finite amount of water can solve many problems that determine the quality of bricks or materials. Carried out researches of harmful oscillations of working of roll-drum activator (RDA) and their effects on the quality of processing. The own frequency of free oscillations arising in the RDA during its operation was determined experimentally. The possibility to stabilize the machine by installing shock absorbers has been examined. The influence of unwanted oscillations on the quality of products has been examined; the most optimal stabilization of the movement of "lever – roll" by using of additional external oscillations on the system has been defined. The analytical model of law of motion of the system with external oscillations and the parameters of its oscillations has been obtained. The parameters of oscillations of the roll has been determined; it was confirmed that the external oscillations have a positive effect on the efficiency of the activation and product quality.
Analysis of Various Approaches to Modeling of Dynamics of Lifting-Transport Vehicles
Authors: Grigorov Otto , Druzhynin Evgenij , Anishchenko Galina , Strizhak Marjana , Strizhak Vsevolod
Published: November 2018

The results of analytical and numerical modeling of dynamic characteristics of linear and non-linear mathematical models of the “trolley-load” system of bridge and container cranes are presented. KiDyM software complex is used for numerical modeling, which, based on the use of the apparatus of structural matrices and the built-in computer algebra system, allows the construction of ordinary differential equations of motion of the class of systems under consideration at the analytical level. Recommendations on the possible use of the considered mathematical models of the “trolley-load” system in various regular and forced operation modes of bridge and container cranes are given on the basis of the analysis. The ratio of the results of calculations for various design models of regular and forced operation of the bridge crane has been established. The magnitude of the distribution of the maximum values of the dynamic characteristics of motion of the container crane has been designed by calculating the forced operation mode using various mathematical models.
Iterative Approach for Performance Improvement of PLC Systems
Authors: Min Hwang Yu , Ghyu Sun Young , Sim Issac , Young Kim Jin
Published: November 2018

In this paper, we propose Turbo equalizer scheme using zero-forcing (ZF) and simulate in power line communication (PLC) systems with high speed. Due to impulsive noise and multipath fading in PLC systems, inter-symbol interference (ISI) happens. We employ Turbo equalizer scheme to get over ISI and improve performance. From simulation results, it is confirmed that the proposed Turbo equalizer can remarkably improve PLC system performance.
Improvement of the KCF Tracking Algorithm through Object Detection
Authors: Wan Park Jae , Kim Sungjoong , Lee Youngjae , Joe Inwhee
Published: November 2018

When the position of the beam projector is changed, users have to manually adjust the position. In this paper, we propose a system that can automatically correct images. In this process, the KCF (Kernelized Correlation Filter) algorithm is used for tracking the IR (Infrared) markers. We analyze the object tracking failure problem of the KCF and improve the KCF tracking algorithm that solves the problem through object detection.
The Effect of External Technology Cooperation and Internal Relation on Innovative Behavior in Technology Intensive Organizations
Authors: Il Lee Won , . .
Published: November 2018

This study set up a research model based on theoretical research as a study of the effects of external technology cooperation activities and internal relationship competencies on innovation behavior in high technology companies. Based on the research model, hypotheses were set up and tested through questionnaires. The research hypothesis is largely based on the internal and external cooperative activities of companies and the effect of the introduction of open innovation on innovation behavior. H1. The more internal cooperation activities in the enterprise, the more innovative behavior will occur. H2. The more active external cooperation activities within the enterprise, the more innovative behavior will occur. H3. The more internal collaborative activities and external cooperation in the enterprise, the more open innovation will be active. In this paper, I propose that internal cooperative activities, external collaborative activities, and establishment of an open innovation culture are important variables that influence innovation behavior.
Energy and Delay Constrained Packet Transmission MAC Protocol for Wireless Sensor Networks
Authors: Young Lee Jin , Cheol Kim Seong , Yun Kim Hye
Published: November 2018

In this paper, we present an energy and time constrained packet transmission MAC Protocol which we call ED-MAC for event-driven applications such as fire detection in wireless sensor networks (WSNs). In this kind of WSNs, sensor nodes send a burst data when there is an event in the measuring field. These events are usually critical, so the measured burst data should be transmitted in limited time to their final destination node, sink node. Therefore, the packet transmission delay is considered to be a crucial requirement in event-driven applications. The ED-MAC protocol reduces the packet transmission delay and average node energy consumption in comparison to existing related MAC protocols.
Application of Anfis-Pid Controller for Statcom to Enhance Power Quality in Power System Connected Wind Energy System
Authors: Vinh, Nguyen Huu , Nguyen Hung , Le Kim Hung
Published: November 2018

In this paper, a proposed ANFIS-PID controller for the STATCOM to improve transient stability of the power system including DFIG based wind farm based on their nonlinear modeling is presented. The comparative simulation results in two cases of no controller and the ANFIS-PID controller for the STATCOM when occurs a three-phase short-circuit fault in the studied multi-machine power system are shown. It is shown the effectiveness of the proposed ANFIS-PID controller and applicability to a practical power system for enhancing power quality in transient time under large disturbance.
Supply Chain Design of Potato Commodity in Wonosobo Regency, Central Java - Indonesia
Authors: Sarjono Haryadi , Sanny Lim , Melati Ina , . .
Published: November 2018

Today, the demand for horticultural commodities is relatively high, making these commodities more important in the growing Indonesian economy. One of the horticultural commodities is the potato (Solanum tuberosum). Potatoes are widely used as ingredients in the light meal industry such as potato chips. Restaurants and fast food industry also use potatoes as the ingredients. Wonosobo regency is one of the areas in Java producing a lot of potatoes and the majority of the population work as farmers. The purpose of this research is to find out the network design of potato supply chain in Wonosobo regency in order to design a more effective and efficient one. This research uses the descriptive qualitative method and the processes of collecting data are observation, interview, and documentation. The results suggest that the current supply chain design of potatoes is from farmers, middlemen, retailers, and consumers. An alternative network design proposed is the farmers should channel the lower quality potatoes directly to the retailers. While another alternative is, for the good quality potatoes, the farmers should sell them to cooperative for export.
A Discrete Wavelet Transform based STATCOM Compensated Transmission Line
Authors: K Mishra S. , N Tripathy L. , C Swain S.
Published: November 2018

This paper describes the Discrete Wavelet transform (DWT) applied for classification and detection of fault with respect to the position of the Static Synchronous Compensator (STATCOM).Â  STATCOM is positioned at mid-point of the transmission line. The reactive power injection or absorption (i.e shifting phase voltage with respect to bus voltage) depends upon the apparent impedance during the fault. The current signals of each phase are retrieved from both sending and receiving end of three phase transmission line synchronously. It starts processing through DWT to acquire spectral energy (SE) content of each phase current signals from both end of the transmission line. Differential spectral energy (DSE) of each phase current signals (i.e SE of current signal recovered from sending end minus SE of current signal recovered at receiving end) of transmission lines is used to record the fault configuration.Â
Effect of Particle Size and its Distribution on Rheological Behaviour of Coal-Water Slurry
Authors: Sahoo Ganeswar , Routray Anupama , Kumari Padhy Mamata , K. Senapati P.
Published: November 2018

An experimental investigation has been conducted to study the rheological behaviour of coal-water slurry (CWS) of low rank coal. Different samples have been prepared by pulverizing it to powder form.Â  Bi-modal and mono-modal samples have been prepared separately. Thereafter slurry was prepared by adding distilled water to the sample. CWS of different coal concentration have been prepared with particle size from 37 Âµm to 250 Âµm. The rheological behaviour of both mono-modal and bi-modal slurry have been investigated with help of HAAKE RHEO STRESS 1, a thermo scientific rheometer. Comparing the rheological behaviour of CWS prepared from bi-modal sample and mono-modal sample, it is observed that CWS from bimodal exhibit lower viscosity and shear stress compare to mono-modal sample. The stability of slurry prepared from bi-modal samples are found to be poor than mono-modal samples. The stability of coal sample below 75Âµm at different concentration has also been investigated. Also the characterization of coal sample has been done. It is observed that as the ratio of coarse particle decreases the shear stress and viscosity also decreases.Â Â
Optimal Features Selection for X-Ray Image Retrieval with Regular and Irregular Zoning Methods
Authors: Nalini P. , B. L. Malleswari Dr
Published: November 2018

Medical Image Retrieval is mainly meant for enhancing the healthcare system by coordinating physicians and interact with computing machines. This helps the doctors and radiologists in understanding the case and leads to automatic medical image annotation process. The choice of image attributes have crucial role in retrieving similar looking images of various anatomic regions.Â  In this paper we presented an empirical analysis of an X-Ray image retrieval system with intensity, statistical features, DFT and DWT transformed coefficients and Eigen values using Singular Valued Decomposition techniques as parameters. We computed these features by dividing the images in five different regular and irregular zones. In our previous work we proved that analyzing the image with local attributes result in better retrieval efficiency and hence in this paper we computed the attributes by dividing the image into 64 regular and irregular zones. This experimentation carried out on IRMA 2008 and IRMA 2009 X-Ray image data sets. In this work we come up with some conclusions like wavelet based textural attributes, intensity features and Eigen values extracted from different regular zones worked well in retrieving the images over the features computed over irregular zones. We also determined like the set of image features in which form of zoning for different anatomical regionsÂ  result in excellent retrieval ofÂ  similar looking X-Ray images.
Process Development for Bio-butanol Steam Reforming for PEMFC Application
Authors: Patel Ronak , Patel Sanjay
Published: November 2018

In current study, process has been developed for hydrogen production from bio-butanol via steam reforming (SR) for proton exchange membrane fuel cell (PEMFC) application. Heat integration with pinch analysis method was carried out to reduce overall heating and cooling utility requirement of energy intensive SR process. Despite of highly endothermic nature of bio-butanol SR, process found to be self-sustained in terms of requirement of heating utility. Heat integrated process for hydrogen production from bio-butanol SR was found to be green process, which can be explored for its hydrogen production capacity.Â
IoT Based Irrigation System
Authors: Kumar Yadav Rajesh , Dev Rishabh , Mann Tushar , Verma Tarun
Published: November 2018

Availability of fresh water is one of the elementary conditions for life on Earth, however, water is a limited resource, which is now under an unprecedented pressure by global population growth, climate change and demand from several economic sectors. In particular, irrigated agriculture is one of the major water-consuming sectors. The aforementioned issues justify the need for a sustainable and rational use of water in irrigated crops.An IoT based irrigation system helps in supplying adequate amount of water to field and domestic crops in all seasons with minimum human interference. To deliver the required amount of water to the soil, we developed a system which works on the data obtained from the sensor nodes about the surroundings. The approach used helped in increasing the lifespan of the sensor nodes. Since the crop was being provided by adequate amount of water, the quality of crop increased.Â
Developments for Diabetic Retinopathy Detection and Classification: A Review
Authors: M. Pawar Pooja , J. Agrawal Avinash
Published: November 2018

Diabetes is characterized by impaired metabolism of glucose caused by insulin deficiency. Diabetic retinopathy is the eye disease, is caused by retinal damage which is generally formed as a result of diabetes mellitus. It is a serious vascular disorder for which early detection and the treatment are required to inhibit the intense vision loss. Also, the diagnosis entails skilled professionals for detection because non-automatic screening methods are very time consuming and are not that efficient for a large number of retinal images. This paper provides a broad review of various techniques and methodologies used by the authors for diabetic retinopathy detection and classification. Furthermore, most recent work and developments are studied in this paper. We are proposing an advanced deep learning CNN approach for automatic diagnosis of DR from color fundus images.Â Â
High Speed Realistic Mobility Model for TN-Multi Lane Highway Environment
Authors: Varshini R.J Vivitha , J Naskath , B Paramasivan
Published: November 2018

Vehicular Ad-hoc Networks (VANETs) are self-forming networks built from moving vehicles. The most important quality of VANETs is the high mobility of nodes, which makes the mobility model as one of the most important parameters. The mobility pattern in the mobility models is used to simulate the movement of the vehicles, which plays an important role in developing an effective communication for the vehicular network. The challenge is to generate suitable microscopic mobility model from the correct and realistic dataset. In this paper, the work analyses the different type of data sources in terms of various mobility models. Finally, it proposes the effective mobility model for the high speed multi-lane highway scenario. Then the performance metrics are analyzed for this proposed model using mobility and network simulators.Â
Deep Learning Approaches for Protein Structure Prediction
Authors: Chandni Khatri , Mrudang Pandya Prof. , Sunil Jardosh Dr.
Published: November 2018

In recent years, Machine Learning techniques that are based on Deep Learning networks that show a great promise in researchÂ Â Â Â Â Â Â Â  Â communities.Successful methods for deep learning involve Artificial Neural Networks and Machine Learning. Deep Learning solves severaÂ  problems in bioinformatics. Protein Structure Prediction is one of the most important fields that can be solving using Deep Learning Â approaches.These protein are categorized on basis of occurrence of amino acid patterns occur to extract the feature. In these paper aimed to review work based on protein structure prediction solve using Deep Learning Networks. Objective is to review motivate and facilitatethese deep learn the network for predicting protein sequences using Deep Learning.Â
A Tool for Suggesting Ayurvedic Remedies from Curated and Classified Clinical Trial Reports
Authors: Raj Sariga , P Priya
Published: November 2018

It requires great effort to search through huge number of published articles that provide information we need. Therefore it is necessary to find a solution that helps researchers in gaining accurate and deep understanding about diseases. Thus drug discovery and drug repurposing are gaining significance with the current onics tools. Traditional Medical practices like Ayurveda needs to be more visible to practitioners with evidence based approach. The clinical trials conducted have to be shared with the world for attaining the very philosophy of Ayurveda.. This paper presents a survey on various text mining technologies developed to classify theories and literature pertaining to the clinical observations of practitioners and suggests a possible solution to match a patientâ€™s symptoms.Â Â
Investigation of Energy Values in Tender Coconut by Various Methods
Authors: MK Raghunadh Yakkala , Suresh Neeluri , Mujtaba Ahmed Mohd , Ashok Konduru , Indra reddy A.
Published: November 2018

Even in 2017 many rural areas the daily food preparation works on conventional furnaces and peat coal as the fuel. It releases lot of smoke and harmful gases. The village blacksmith work also depends on peat coal. One of the alternative fuels for conventional furnace is tender coconut fuel. The tender coconut having lot of mineral values in addition to that it having lot of fuel values. The availability of tender coconut is round the year. In most of the cases these coconuts after drinking simply dumping in the municipal waste or dumping at out cuts of the cities. By making simple process we can convert this tender coconut into good fuel. A special machine designed for process of tender coconut. A detailed analysis done on the tender coconut in two different ways. The total coconut analysis is done two ways, one is on direct coconut where as other is individual elements of the coconut analysis like shell, inner coir, outer coir and coconut husk. The calorific value of each one calculated by using the bomb calorimeter. The exhaust gases also analyzed y using exhaust gas analyzer.
Effect of Quaternary Ammonium Salt Addition to Conventional Biodiesel Production Process
Authors: Hussain Zakir , Meghavathu Deepa , Kumar Rakesh
Published: November 2018

Biodiesel on a commercial scale is largely produced by transesterification using a conventional homogeneous catalyst like KOH and NaOH. The major problem associated with conventional homogeneous transesterification process is that it is prone to water & FFA content. This problem can be mitigated with some process modification using quaternary ammonium salts. In the present study, the reaction between waste palm oil & methanol was carried in a batch reactor at 65oC & various molar ratios of oil to methanol. Further, the effect of various dosages of tetramethylammonium bromide (TMAB) addition to this reaction was studied. Results show that there is a strong influence of TMAB (a phase transfer catalyst) on the methanol requirement during the reaction and also on the washability characteristics of the produced biodiesel. It was observed that there is a considerable decrease in the molar ratio of methanol to oil requirement during the reaction. Moreover, the addition of TMAB has enhanced the washability of the final biodiesel product by forming less foam. This has a direct advantage of decreasing the water requirement during the purification process.
Glimpses Of Dynamic Biodiesel Product Pricing Model
Authors: Hussain Zakir , Meghavathu Deepa , Kumar Rakesh
Published: November 2018

Entrepreneurship development, energy crisis, rising fossil fuel prices, increasing greenhouse gas emission and waste management are the key issues which concern the government to tackle them sustainably. The advent of biodiesel as a fuel paves the pathway to handle these issues and together it creates an opportunity to develop a small/medium to large-scale biodiesel production units. Current research is mainly focused on creating the roadmap to solve the feedstock scarcity issue faced by Indian biodiesel industries through the field survey. It also presents a robust model framework to fix the minimum selling price of biodiesel through energy input-output and cost input-out analysis in producing a unit volume of biodiesel. The results show that the surveyed area may have the potential to supply on an average of 129 liters/day waste vegetable oil. Energy analysis shows that the highest share of energy 71.84% was from waste vegetable oil followed by 25.99% corresponds to alcohol. Others are being at 0.85% due to the catalyst, 0.44% due to electricity, 0.68% due to machinery and 0.2% due to human labor. Cost analysis shows that the highest share of cost 52.13% was due to alcohol followed by 39.34% due to waste cooking oil.
A Machine Learning Approach to Extract Opinions from Social Media Content
Authors: Adinarayana Salina , Ilavarasan E
Published: November 2018

The Opinion Mining (OM) from mobile based social media content (SMC) is more challenging compared to topic-based mining, and it cannot be performed based on just examining the presence of single words in the text containing opinion expressions. Moreover, the existing systems of opinion   classification find that a large number of features that are not feasible for the mobile environment. The existing methods of OM in this mobile environment do not consider the semantic orientation of the SMC in the review. The proposed machine learning approach extends the feature-based classification approach to identify the orientation of the phrase on taking context into account to improve the accuracy.
Reconfigurable Smart Antenna for Wireless Communication Devices
Authors: Pratap Singh Sengar Anand , Dahiya Aman
Published: November 2018

In this paper a frequency reconfigurable antenna is proposed.  The antenna uses electrical switching by means of PIN diodes to achieve reconfigurable properties. PIN diodes are located such that to increase the total effective surface area and simultaneously the surface current. Three slots are cut from antenna to alter the surface current and improve the resonant frequency of the antenna. The location of the PIN diodes is based on optimization in the response. Diode 1 is placed to excite another patch when it will be in ON state whereas diode 2 is used to make an interconnect.  Antenna resonates at 0.915 GHz, 1.575 GHz and 2.4GHz depending on whether it is in ON or OFF state. Applications of the antenna include GSM900 (0.8GHz-0.955 GHz), GPS (1.575 GHz), WLAN (2-2.4GHz).
Synthesis of Linear Array Antenna with Wide Range of beamwidths using DE Algorithm
Authors: Grandhi Challaram , Grandhi1*, N.Venkateswara rao N.
Published: November 2018

In many communication systems like Radar and point to point micro links there is a need of both narrow and wide beams. In target applications Antennas with narrow beam width is required on the other hand, for spy application antennas with wider beam width are required. Generally, for linear array antennas the beams width will be narrowed by increase in the number of elements in the array. To obtain narrow beams without a significant increase in the number of radiation elements in the array, the optimization algorithms are used. By the use of optimization algorithms the wider beams can also be employed in reverse procedure of choosing the highest output for a given set of random inputs. These wide ranges of beam width are obtained without any increase in the side lobe levels that is, by maintaining the side lobe level below -20db. Random stochastic methods like Particle swarm optimization (PSO), Genetic algorithm (GA), Biogeography-based optimization (BBO) and Differential Evolution Algorithm (DE) are used and the results are compared.
Classification of Heart Disease Hungarian Data Using Entropy, Knnga Based Classifier and Optimizer
Authors: Gupta Shweta , . .
Published: November 2018

To mine the useful information from massive medical databases data mining plays as imperative role. In data mining classification (supervised learning) which can be used to design model by describing significant data classed, where class attribute is involved in the construction of the classifier. In this work, we propose a methodology in which uses KNN classifier. It is simple, popular, more efficient and proficient algorithm for pattern recognition. The samples of the medical databases are classified on the basis of nearest neighbor in which medical database are massively found in nature and contains irrelevant and redundant attributes. The only KNN classifier produce less accurate results that is why we use hybrid approach of KNN and genetic algorithm (GA) to obtain more accurate results. To evaluate the performance of the proposed approach Hungarian dataset (UCI learning) is used to classify the attributes of heart disease. The genetic algorithm performs global research on complex large and multimodal landscapes which provide minimal solutions or search space. The experimental outcomes of accuracy parameter of proposed approach give more accurate and efficient results than the existing approach.
Evaluation of Named Entity Recognition Algorithms Using Clinical Text Data
Authors: Manimaran J. , Velmurugan T.
Published: November 2018

Named Entity Recognition (NER) is one of the most important research areas in the field of medical. Presently, most of the clinical NER research is based on two approaches as Knowledge Engineering (KE) and Machine Learning (ML). KE is used a word lookup table approach and ML is known as supervised learning approach. The aim of this work is to evaluate a recent algorithm in KE and ML approaches using various clinical text databases. Therefore, the NOBLE Coder and Clinical Named Entity Recognition (CliNER) algorithms are selected, NOBLE Coder is depended on KE approach and CliNER is ML approach. The two algorithms will be described and compared its performance on three openly available datasets that is obtained from Medical Information Mart for Intensive Care II (MIMIC II), Pittsburgh Medical Center, and i2b2 2010 challenge. Among these datasets, the annotated data are included which is used to detect the highest sensitivity and specificity on each algorithm. The randomly distributed patient reports were taken as input data to these algorithms. By executing these algorithms, the information is extracted and which classified into predefined concept types, for example medical problems, treatments and tests. The accuracy of both algorithms is calculated using standard measures. The taken two algorithms are analyzed based on the produced results. Finally, the best among two is suggested for better use in clinical data.
A Novel Compact MIMO Planar Inverted-F Antenna (PIFA) for Future 5G Wireless Devices
Authors: Loharia Neha , B. Rana Shashi , Kumar Naveen
Published: November 2018

In the last decade, mobile communication has shown a tremendous growth in various categories of wireless communication. A novel miniature MIMO Planar inverted F Antenna (PIFA) for 5G future communication has been presented in this paper as a MIMO antenna working at 10 GHz band is not available in recent literature. The proposed PIFA has low profile structure with two radiating elements on its opposite edges. The proposed 5G frequency band of 10 GHz is covered by the MIMO antenna. Various antenna & MIMO performance parameters such as isolation, return loss, VSWR, diversity gain, ECC and radiation pattern are also presented and discussed. Simulated and measured results are in good match with each other.
A Novel Wineglass Shaped Wide Band Antenna for TV White Space Communication
Authors: Ahmad Raza Ghulam , Saini Garima , Kumar Naveen
Published: November 2018

This paper presents a novel patch antenna for TV white spaces applications. The shape of the proposed antenna is based on the shape of a wineglass. The dimension of the proposed antenna is 170 mm x 120 mm x 1.6 mm. After simulation, the proposed antenna resonates at 703 MHz with a return loss of -21.97 dB and covering a bandwidth from 495 MHz to 1540 MHz. Overall bandwidth coverage is 1045 MHz. So the proposed antenna is a wide band antenna covering almost the entire TV Ultra High Frequency (UHF) range. Simulated VSWR obtained at 703 MHz is 1.38 dB and simulated gain is 2.32 dB. The proposed antenna is fabricated using FR4 substrate and tested on Vector Network Analyzer (VNA). The measured return loss of fabricated antenna is -20.20 dB at 596 MHz. Proposed antenna shows the simulated radiation efficiency of 95%. Simulated and measured results showed good match between them. Proposed design is compared with few designs available in literature to validate its novelty and advantages.
Shape based Object Retrieval Technique for Vehicular Spare Parts
Authors: Hosur Ravi , Dayanand G Savakar Dr. , Madabhavi Shilpa
Published: November 2018

Shape based object retrieval technique is an application used for the automatic retrieval of vehicular spare parts based on the input image, this application can be useful in the automobile industry/shop for the retrieval of specific object from the group of objects. For the retrieval process first the database has been designed to store different shapes of nuts that are hexagon and square. With the application of median filter and wiener filters in the preprocessing step, the canny edge-detector for identifying the edges and to ascertain shape of the input and database images the convex hull approach is applied. This system is successful in retrieving the shape of the images which already exist in the database and the method results with the accuracy of 82.1875%
Optimal Pricing of Electricity in Restructured Electricity Market
Authors: G.Umale V. , S.B.Warkad Dr. , Wadhankar S. , S.Sakhare H.
Published: November 2018

An effective pricing scheme that to provide the useful information to generation, transmission section and customers. These transmission pricing depends on generator, load levels and transmission line constraints. Transmission line constraints result is variations in energy prices throughout the network. The proposed approach is based on AC-DC optimal power flow model with considering of losses. Resulting optimization problem is solved by linear programming approach. Locational Marginal Pricing methodology is used to determine the energy price for transacted power and to manage the network congestion and marginal losses. Variation of LMP values with transmission constraint conditions also studied. Simulation is carried out on IEEE 57 bus system, 400/765kV MSETCL system of Maharashtra transmission line for real data bus system and the results are presented.
Iron Pincer Complexes as Catalysts in Cross-coupling of Aryl Halides and Phenylboronic Acid
Authors: Mahesh Kumar Lolakshi , Ramachandra Bhat Badekai
Published: November 2018

Pincer complexes with iron as active metal center were synthesized to study their catalytic activity in Suzuki-Miyaura coupling reactions. Tridentate pincer ligand was synthesized by the reaction of diphenylchlorophosphine with m-aminophenol and m-phenylenediamine respectively in a 2:1 ratio in the presence of triethylamine as a base and tetrahydrofuran as solvent media. The resultant ligand was complexed with FeSO4 to obtain PCP complexes, C-1 with O and N atoms in the side arms and C-2 with both N atoms in the side arms. The synthesized complexes were examined for their C-C coupling efficiency in cross-coupling between phenyl boronic acid and para substituted halobenzenes. The research study aims to provide an alternative approach to the Pd catalyzed cross coupling methods, an otherwise subjugated method to obtain cross-coupled products. Also the study implores on the effect of variation in the side arm atom relating to the donating ability of the ligand and thereby relatively affecting the coupling yield of the catalysts.
Nanographene Sheet Immobilized Transition Metal Complexes for C-C Coupling Reactions
Authors: Anuma Saroja , Ramachandra Bhat Badekai
Published: November 2018

Transition metal Schiff base complexes covalently immobilized on the surface of amino functionalized graphene sheet to catalyze C-C coupling reaction is reported. Graphene sheet which synthesized using mechanical exfoliation and then by differential oxidative reduction phenomenon of graphite. The schiff base ligand is prepared using aldehyde and amino groups containing compounds which further treated with metal salts to form metal complexes. The as-synthesized metal complexes was then incorporated into amino functionalized nanosheets which are characterized using different spectrochemical techniques. The catalytic investigation of the as-prepared catalyst were done by the cross coupling of aryl halides and aryl boronic acids to form biaryls as product in C-C cross coupling reaction. The yield of the products were high and selective which were analyzed using Gas chromatography technique. The advantage of this catalyst is high stability, recyclability easy recovery of catalyst, environmentally benign and mild reaction condition.
Synthesis, Characterization and Catalytic Activity of Nano-Iron (II) Schiff Base Complex in Suzuki-Miyaura Cross Coupling Reaction
Authors: M. Ansari Rasheeda , Ramachandra Bat Badekai
Published: November 2018

A new nano-iron (II) Schiff base complex, [Fe(L)] where L is 1-((pyridin-2-ylimino)methyl)naphthalen-2-ol with octahedral geometry has been synthesized by the sonochemical (Ultrasonic irradiation) method. This method can promote the formation of nano-sized particles in short time with improved yield toward conventional method. The complex was characterized by FTIR, UV-Vis, TGA, SEM and elemental analysis. Particle size of synthesized complex was calculated from particle size analysis. Catalytic activity of the prepared complex was studied for Suzuki-Miyaura cross-coupling reaction. The synthesized complex showed great potential in catalytic activity with less concentration.
Cyber Physical Systems for Smart Cities Development
Authors: A.Jabbar1 M. , Samreen Shirina , Aluvalu Rajanikanth , K. Kiran Reddy Dr.
Published: November 2018

With the technological advances in ICT people are migrating to urban areas. Urbanization becomes a global phenomenon. By 2030, 60% of the population will live in urban. Development of smart cities is inevitable. Cyber Physical Systems (CPS) supports our day to day activities. With the emergence of CPS is becoming more important to smart cities. Smart cities can be viewed as large scale implementations of CPS. This paper throws some light on the concepts of CPS, Smart and the various challenges posed by CPS in implementing in smart cities .This paper also describes research directions for CPS .