Showing papers by "KCG College of Technology published in 2017"
TL;DR: In this paper, a detailed survey is conducted to identify the research challenges and the achievements till in this field, and those research papers are reviewed based on the image processing techniques, objectives, accuracy level, error level, and the image data sets.
Abstract: Cracks on the concrete surface are one of the earliest indications of degradation of the structure which is critical for the maintenance as well the continuous exposure will lead to the severe damage to the environment. Manual inspection is the acclaimed method for the crack inspection. In the manual inspection, the sketch of the crack is prepared manually, and the conditions of the irregularities are noted. Since the manual approach completely depends on the specialist’s knowledge and experience, it lacks objectivity in the quantitative analysis. So, automatic image-based crack detection is proposed as a replacement. Literature presents different techniques to automatically identify the crack and its depth using image processing techniques. In this research, a detailed survey is conducted to identify the research challenges and the achievements till in this field. Accordingly, 50 research papers are taken related to crack detection, and those research papers are reviewed. Based on the review, analysis is provided based on the image processing techniques, objectives, accuracy level, error level, and the image data sets. Finally, we present the various research issues which can be useful for the researchers to accomplish further research on the crack detection.
522 citations
TL;DR: In this article, the corrosion and erosion corrosion behavior of the Electroless Ni-P-rGO coatings were studied using potentiodynamic polarization and electrochemical impedance spectroscopy (EIS) in 3.5% sodium chloride solution.
50 citations
TL;DR: A Q-learning-algorithm-based routing concept to route the sensed information if required from the individual node to the remote healthcare station and results show that the Q- learning-based approach requires less time toroute the packet from the source nodes to the destination remote station.
Abstract: The information regarding any abnormal behaviour in the physiological parameters of a patient should reach the remote healthcare personal immediately in real time, so as to take corrective action promptly and save the life. Biomedical wireless sensor network (BWSN) plays a vital role in this connection because it can be attached to the patient without causing any inconvenience to him/her and can communicate to any remote healthcare office without any delay. BWSN consists of individual nodes to collect the patient's information and communicate it to the remote health centre if the value of sensed signal is beyond normal range. The nodes deployed within the patients form a BWSN, and the network has to send the information from the source to the remote sink in an efficient way. The network should choose an optimized path for this communication, so that the node’s lifetime is increased. This paper presents a Q-learning-algorithm-based routing concept to route the sensed information if required from th...
30 citations
TL;DR: In this article, stable copper nanoparticles were obtained by reducing Cu2O without any special protections like inert gas atmosphere etc. Different reduction conditions were attempted to control the stability and size of the Cu nanoparticles.
28 citations
TL;DR: In this article, stable ZnS nanoparticles were fabricated using watermelon rind extract as capping and stabilizing agent, which showed good photocatalytic activity towards methylene blue dye degradation.
Abstract: We report fabrication of stable ZnS nanoparticles (NPs) using a green chemistry concept with watermelon rind extract as capping and stabilizing agent. The cubic structure of the NPs was evidenced by X-ray powder diffraction analysis and electron diffraction studies. Dynamic light scattering and high-resolution transmission electron microscopy studies revealed that the average size of the ZnS NPs was <12 nm. The bandgap of the ZnS nanocrystals was found to be 3.42 eV using ultraviolet–visible (UV–Vis) spectroscopy studies. The energy-dispersive X-ray spectrum of the fabricated ZnS NPs confirmed the elemental Zn and S signals without peaks from any impurities. The biomolecular capping of the ZnS NPs was analyzed using Fourier-transform infrared spectroscopy. An illustrative stabilization mechanism for the ZnS NPs is given using citrulline, a major phytochemical in watermelon rind extract. The obtained ZnS NPs showed good photocatalytic activity towards methylene blue dye degradation.
22 citations
TL;DR: In this paper, the effect of various parameters (microcapsule size, concentration and catalyst concentration) on the basic mechanical properties of self-healing GFRP composite were studied.
19 citations
TL;DR: In this article, the experimental analysis of the early direct injected PCCI was conducted and the results of the neat diesel and bio ethanol diesel (E20) blends were compared and oxides of Nitrogen were reduced to very lower levels when compared to neat diesel operations.
15 citations
01 Jan 2017
TL;DR: The proposed data integration frame work with NoSQL technology could resolve integration, transformation, inconsistencies, noise challenges in big data.
Abstract: The Big Data is a Buzzword, which is being generated from various sources in and around in our daily life. Big data is the conjunction of big transactional data i.e. relational data base system, users activities huge data e.g. face book, twitter, LinkedIn, web logs, scanned, sensor devices, mails, and big data processing. The four striking characteristics of Big Data are volume, variety, velocity and veracity. Big data analytics refers to the process of gathering, arranging and analyzing huge data set to uncover the hidden knowledge that enables us to take effective and efficient decision making. The source data mostly may contain heterogeneity, noise, outliers, missing values and inconsistency. The poor source data can produce poor quality of analytical results. Traditional data processing system does not resolve these problems. The proposed data integration frame work with NoSQL technology could resolve integration, transformation, inconsistencies, noise challenges in big data.
13 citations
TL;DR: In this paper, an experimental analysis of the early direct injected HCCI engine was carried out using CHEMKIN-PRO Software, where the auto ignition chemistry was used by means of reduced chemical kinetics.
11 citations
01 Mar 2017
TL;DR: In this article, the authors proposed a technique based on the standard management axiom stating that "You cannot manage what you cannot measure". It serves as an effective guide for energy management.
Abstract: Energy management is becoming a trending topic in the 21st century. It includes planning and operation of energy production and energy consumption units. One of initial steps for an effective energy cost control program is the assessment of energy consumption and pattern of energy usage. This is the place where Energy Monitoring comes into picture. It is a technique based on the standard management axiom stating that "You cannot manage what you cannot measure". It serves as an effective guide for energy management. Unlike energy meters which are installed at locations which cannot be accessed easily, this monitoring system can be installed within the house i.e. nearby the switchboard or distribution box. By this way the people can get an idea of how much energy they are consuming in real time, inside their house itself. By uploading the data into the cloud, detailed consumption of energy will be available for every month, every day and every hour. This serves as a tool for Energy management. Apart from this, the loads in the houses can also be controlled remotely via computers/smart phones in case of overloads or when a person is not available at home.
9 citations
01 Sep 2017
TL;DR: This paper evaluates the stability of dual active bridge converter based solid state transformer for variegated input and circuit parameters.
Abstract: Power system uses transformers for changing voltage level according to the level it is used such as transmission and distribution. The space occupied by this transformer is quite high as they are huge in size. The power electronic based transformer so called Solid State Transformer (SST) is a new technology which replaces the power Transformer in all aspects right from its primary function of voltage transformation to contribute the isolation. The SSTs are available in different topologies of which the Dual Active Bridge (DAB) based SST is widely accepted topology because of their notable features such as bidirectional power flow control and unsusceptible to voltage iffiness. This paper evaluates the stability of dual active bridge converter based solid state transformer for variegated input and circuit parameters. Hardware of this SST is also made available.
TL;DR: An automatic method for detecting nodules from patient lung CT images by using various combination of rule based filtering, support vector machine, k-Nearest Neighbours and Random Forest classifier is proposed.
Abstract: Lung cancer is the prime factor in cancer related deaths due to increasing rate of smoking and air pollution. The survival rate of cancer patients increases to 52% if it is localized, and decreases to 4% if it is metastasized. The existing system use simple thresholding approach and pattern recognition method to segment lung and identify nodules in the lung computerized tomography (CT) images. But quality of this process is affected by the image acquisition protocols, scanner types, and inhomogeneity of intensities in the lung region. In order to overcome the drawbacks of the previous process and for separation of nodules from non-nodules, there is a need for an automatic computer aided detection system. This paper proposes an automatic method for detecting nodules from patient lung CT images. In this automatic approach first step is a lung segmentation to differentiate lung and background and make the detection of nodule simple. Then the lung region is segmented by Contextual Clustering based region growing method. Vector quantization method is used to identify the nodules present in the lungs. False positive reduction is done by using various combination of rule based filtering, support vector machine, k-Nearest Neighbours and Random Forest classifier. The performance of this method is evaluated in terms of accuracy, sensitivity and specificity.
TL;DR: In this article, the effect of thermal barrier coated piston on the performance and emission characteristics of mahua-biodiesel-fuelled diesel engine was studied and compared with those of neat diesel fuel.
Abstract: In the present investigation, the effect of thermal barrier coated piston on the performance and emission characteristics of mahua-biodiesel-fuelled diesel engine was studied and compared with those of neat diesel fuel. The piston, cylinder walls and the valves of the engine were coated with 0.25 mm thickness of Al2O3 material without affecting the compression ratio of the engine. Experiments were conducted using diesel and biodiesel blend (B20) in the engine with and without coating. The results revealed that specific fuel consumption was decreased by 8.5% and the brake thermal efficiency was increased by 6.2% for biodiesel blend with coated engine compared with the base engine with neat diesel fuel. The exhaust emissions CO, NOx and HC emissions were also decreased for biodiesel blend with coated engine compared with base engine.
TL;DR: In this paper, the effect of leaf extract on the formation of silver nano-colloid was studied using FTIR spectroscopy and the morphology of the synthesized colloid was stable with spherical particles of a 10-nm size.
Abstract: Silver nano-colloid was rapidly synthesized by treating silver ions with a blend of extracts from two leaves (Ocimum sanctum and Azadirachta indica). The reaction method was simple, eco-friendly and was monitored using UV–Vis spectroscopy. The effect of leaf extract on the formation of silver nano-colloid was studied using FTIR spectroscopy. The morphology of the synthesized colloid was stable with spherical particles of a 10-nm size. The results indicate that leaf extract acts as a reducing and stabilizing agent. The synthesized Ag nano-colloid exhibited a good colorimetric sensing property towards carcinogenic Cr(VI) anions [(Cr2O7)2−] in aqueous solution by changing the colour of the solution from “brown to red” accompanied with an increase in absorption intensity. The proposed detection method of the sensor has been discussed. The detection limit of the sensor was found to be 10−6 M. There was no interference observed for Cr(VI) anion detection in the presence of other cations and anions. The proposed sensor can be applied for the detection of Cr(VI) anion in drinking water samples. The antidiabetic ability of silver colloid was tested and the results showed inhibition of carbohydrate digestive enzymes. Thus, the current study focuses on a highly specific and selective liquid colorimetric sensor for (Cr2O7)2− anions. The silver nano-particles (Ag NPs) derived from a blend of neem (Azadirachta indica) and tulsi (Ocimum sanctum) leaves displayed an enhanced inhibitory effect towards a α-glucosidase and α-amylase enzyme model, compared to their respective crude extracts and the control. As a result, the bioderived Ag NPs can be used as new nano-therapy for the treatment of diabetes.
TL;DR: In this paper, a semi-organic single crystal of DL-methionine doped copper sulphate has been grown by slow evaporation solution growth technique and the lattice parameter of the grown crystal was confirmed by single crystal x-ray diffraction analysis.
TL;DR: In this article, an attempt was made to study the mechanical behaviour of AA7068 -6 vol. % of MoS2 - X vol. percentage of WC (X = 0, 5, 10 and 15) hybrid aluminium composites produced by blend-press-sinter methodology.
Abstract: In this article, an attempt was made to study the mechanical behaviour of AA7068 - 6 vol. % of MoS2 - X vol. % of WC (X = 0, 5, 10 and 15) hybrid aluminium composites produced by blend–press–sinter methodology. Compacted Powders (700MPa) were sintered at different temperatures (450 0c, 500 0c and 550 0c ) in order to find the influence of sintering temperature on mechanical properties and tribological behavior of AA7068 hybrid composites.The sintered samples have been characterized by x-ray diffraction (XRD) method for identification of phases and also to investigate the phase changes. The change in density, hardness and porosity values of composites were reported. The composite with 15 vol. % of tungsten carbide and 6 vol. % of MoS2 showed the highest hardness and density at the sintering temperature range of 550 0c. Pin-on-disc type apparatus was used for determining the wear loss occurring at different conditions. The hybridization of the two reinforcements enhanced the wear resistance of the composites, especially under high applied load, sliding distance and sliding speeds. Due to this, the hybrid aluminium composites can be considered as an outstanding material where high strength and wear-resistant components are of major importance, predominantly in the aerospace and automotive engineering sectors. The morphology of the wear debris and the worn out surfaces were analyzed to understand the wear mechanisms.
TL;DR: In this article, the effect of adding microcapsules in the material on the drilling characteristics of self-healing GFRP panels has been investigated, and it was found that the microcapsule concentration in the composite had a marked effect on both the measured outputs.
Abstract: Self-healing materials heal partially or completely when damage occurs to restore the functionality of the material. Self-healing technology has found its applications in sensors, supercapacitors, solar cells, fabrics etc. Self-healing GFRP specimens were fabricated by embedding microcapsules filled with dicyclopentadiene monomer in glass fiber reinforced epoxy resin. Drilling experiments were conducted on self-healing GFRP panels comprised of varied quantities and sizes of microcapsules under different drilling conditions to find the effect of adding microcapsules in the material on the drilling characteristics. Thrust force and temperature variations during drilling were studied, and it was found that that the microcapsule concentration in the composite had marked effect on both the measured outputs. Genetic multiobjective optimization was employed to obtain the optimum pareto values to determine the optimum thrust and temperature.
04 May 2017
TL;DR: In this article, an automated sewer robot, called BhrtyArtana, is used to conduct an inspection of the sewage pipeline and clear any blockage within it, which is done by a mechanical device driven by electronic automation.
Abstract: Manual scavenging was ruled illegal in 2013, but private contractors hired by the municipal government continue to employ manua scavengers. Hundreds reportedly die from the work each year. To provide a complete solution to this deplorable situation, artificia intelligence is used as a replacement to manpower. The sewage inspection and cleaning is done by a mechanical device driven b; electronic automation. BhrtyArtana (where ‘Bhrtya’ means robot and ‘Artana’ means waste) is an automated sewer robot that cai conduct an inspection of the sewage pipeline and clear any blockage within it. The robot first inspects sewer lines for cracks, corrosion obstacles, etc. A camera installed atop the robot carries out live streaming of the interior of the pipeline. These visuals are viewed b the operator in software to be recorded for future reference. Furthermore, the robot is equipped with a proximity sensor at the front o its body to detect the presence of an obstacle in front of it. As the robot nears the obstacle, the turbine starts cutting through th obstacle, thus, clearing the obstacle. Thus, this device effectively decreases all the predicaments associated with sewage cleaning an inspection.
01 Jan 2017
TL;DR: In this paper, the development of a MES system through high-level understanding process with the aid of concrete examples of functioning automation and IT delivery teams together to ensure success for the approach towards smart factory or I4.0.
Abstract: Today, consistent data exchange between engineering applications such as special purpose machines, Manufacturing Execution Systems (MES) and Enterprise Resource Planning (ERP) systems is indispensable for efficient, error free planning and operation of plant and equipment. The approach towards Industry 4.0 Studio (I4.0)—an integration project, integrates value creation chains horizontally and processes and systems vertically. Hence the customers are indirectly benefitted with standardized and reliable better quality products within specified time at affordable cost. This paper illustrates the development of a MES system through high-level understanding process with the aid of concrete examples of functioning automation and IT delivery teams together to ensure success for the approach towards smart factory or I4.0.
01 Sep 2017
TL;DR: This paper intends to monitor and measure the radiation levels that a specific area is exposed to using a radiation sensor, and to send the data to a cloud from where the values can be accessed by the concerned authorities.
Abstract: The heightened utilization of ionizing radiation for diagnostic and beneficial purposes, the expeditious progress in nuclear reactors, as well as the risks of radioactive waste have raised significant safety and health concerns for the people working with radiation and the general public. While some exposure to radiation is acceptable, radiation monitoring should be done to keep the levels of radiation exposure to a minimum. In this paper, we intend to monitor and measure the radiation levels that a specific area is exposed to using a radiation sensor, and to send the data to a cloud from where the values can be accessed by the concerned authorities. In order to meet the objectives we utilize GM counters, which are radiation sensors that detect and measure the amount of radiation present in the radiation environment. The GM counter is interfaced to a NodeMCU to update the detected and measured radiation to a radiation IoT platform that can store and retrieve data across a network. Further, a GPS module is interfaced with the NodeMCU to locate the location data of the radiation emitted from the radiation sources under such radiation environment. The radiation values are remotely monitored in real time through web server configured with the radiation IoT platform to remote monitor the radiation level and mapping the location of such radiations.
TL;DR: A novel RDH scheme for digital images is proposed that has high capacity with low distortion and can be recovered to its original form by computing the same optimal value after extracting secret data.
Abstract: Recently, more importance is given to reversible data hiding (RDH) schemes because it restores original cover image without loss after the secret data is extracted and it is useful in authentication and integrity checking. In this paper, a novel RDH scheme for digital images is proposed that has high capacity with low distortion. The cover image is divided into blocks and all the pixels in the block are converted into odd value or even value by computing the optimal value of the block. The optimal value is mean, median, max histogram or min---max average which is very nearer to the pixels in the block. Secret data is directly embedded into blocks using odd even property. In the receiving end, after extracting secret data cover image can be recovered to its original form by computing the same optimal value. The proposed scheme is tested with several monochrome images and color images. The experimental results reveal that the proposed scheme has high hiding capacity with low distortion.
TL;DR: An energy efficient data management and routing architecture based on the data fusion techniques in IEEE 802.4.15 based on proposed Multi-Stage Classification prior to priority assignment techniques is created.
01 Jan 2017
TL;DR: The proposed algorithm is simulated for an 11-level H bridge inverter using matlab 2014 version software and seemed to have a satisfactory higher order harmonic elimination compared to the conventional methods.
Abstract: This paper analyses an optimum Total Harmonic Distortion (THD) value for multilevel inverters using Hybrid Particle Swarm Optimization Algorithm (HPSO). The proposed paper instigates an algorithm which supersedes the conventional algorithms in finding out an optimum global value. The prime objective of this paper is to reduce the THD value of the Asymmetric H-bridge multilevel inverters by choosing appropriate values from the inequality constraints. The proposed algorithm is simulated for an 11-level H bridge inverter using matlab 2014 version software. The results interpreted seemed to have a satisfactory higher order harmonic elimination compared to the conventional methods.
01 Dec 2017
TL;DR: This investigation of research work has performed with an Interface which incorporates the different modules of ontology assistance, template assistance, and user modeling techniques which function as the supporter between the client user and system to deal with the user problems.
Abstract: The Question Answering (QA) system is playing a significant role in search engine and information extraction principle. This investigation of research work has performed with an Interface which incorporates the different modules of ontology assistance, template assistance, and user modeling techniques which function as the supporter between the client user and system to deal with the user problems. The latest features which formulate to increase system performance are ontology assisted query template, natural language query mode and keyword based query mode. The experimentation result implies that 85% queries have been accurately identified by the system.
01 Jan 2017
TL;DR: The multi-application antenna is proposed for Bluetooth, Wi-Fi and Wi-max, and the design was designed and simulated by ADS software, allowing engineer to characterize and RF design with common tool.
Abstract: The multi-application antenna is proposed for Bluetooth, Wi-Fi and Wi-max. The design is used for three different frequencies 2.45, 5 and 7 GHz. As a substrate material RT_Duroid 6006 is used. Antenna is designed by placing two slots in rectangular patch, so three dipoles are obtained. The simulation is done for this antenna by changing the length and width of three dipoles. The results shows that rectangular patch antenna with two slots offers return loss ≤10 dB with the input feed 50 Ω. The proposed antenna can be used in indoor distributed antenna systems, such as Bluetooth, Wi-Fi and Wi-max. This patch antenna was designed and simulated by ADS software. ADS supports of the design process—Engineer can characterize schematic capture, frequency and time-domain simulation, layout, and electromagnetic field simulation, allow engineer to characterize and RF design with common tool.
TL;DR: In this article, a generic class of two-dimensional nonstandard Hamiltonian systems which exhibit isochronous behaviour was identified, which is obtained by generalizing the scalar modified Emden equation (MEE) to two dimensions.
Abstract: We identify a generic class of two-dimensional nonstandard Hamiltonian systems which exhibit isochronous behaviour. This class of systems belongs to the two-dimensional mixed Lienard-type equations and is obtained by generalizing the scalar modified Emden equation (MEE) to two dimensions. We show that the generalized class of equations admits a Hamiltonian description and exhibits periodic and quasiperiodic oscillations for suitable choice of parameters and also PT-symmetric property.
01 Jan 2017
TL;DR: In this paper, the effectiveness of the tab with slanted perforation increased with increasing slanted-perforation angle, which caused the disturbance in potential core region of the primary jet and resulting in faster decay of the jet.
Abstract: Jet from convergent nozzle under correctly expanded condition was controlled by two tabs kept opposite to each other with straight perforation and slanted perforation at different angles of 10°, 20° and 30°. This jet was compared with uncontrolled jet and jet with solid tab. It was found that jet with tab of slanted perforation 30° was having a lesser potential core as compared to jet with solid Tab. Further it was found that the effectiveness of the tab with slanted perforation increased with increasing slanted perforation angle. The streamwise vortices introduced by the slanted perforation in tabs were inclined towards the centreline of the jet and thereby causing the disturbance in potential core region of the primary jet and resulting in faster decay of the jet.
01 Jan 2017
TL;DR: This paper mainly focuses on the comparative analysis of Power Spectral Density (PSD) and harmonics between Boost Two-Level Inverter (BTLI) and Multi String Hybrid Capacitor Clamped Multilevel Converter (MSHCCMLC) configurations.
Abstract: This paper mainly focuses on the comparative analysis of Power Spectral Density (PSD) and harmonics between Boost Two-Level Inverter (BTLI) and Multi String Hybrid Capacitor Clamped Multilevel Converter (MSHCCMLC) configurations. Compared with conventional BTLI, the proposed system employs the reduction of harmonics and PSD. Maximum utilization of solar power is achieved through Maximum Power Point Tracking (MPPT) control mechanism. Modified Sinusoidal Pulse Width Modulation (MSPWM) scheme is adopted to attain better quality of output power. The proposed MSHCCMLC requires small LC filter component at the inverter end which makes the system more effective. Simulation and hardware models of 5-level Hybrid Multilevel Converter (HMLC) are developed and the system performances are validated.
01 Jan 2017
TL;DR: In this paper, an adaptive feedback system along with the HSVC is used to improve power system voltage stability by enhancing generator reactive, active power control and voltage control in wind power production system.
Abstract: Voltage instability and over voltage are one of the main problems in today wind industry. In wind power production system the output is depends upon the nature of source called wind. But that source is not constant one. It may be varying depending upon the climate. Due to that oscillation the output voltage from the generator side is instability. These problems are becoming a more serious concern with the ever-increasing utilization and higher loading of existing transmission systems, particularly with increasing energy wastage, energy demands, and competitive generation and supply requirements. Our aim is to improve power system voltage stability by enhancing generator reactive, active power control and voltage control. Adaptive feedback system along with the HSVC ways to improve power system voltage stability by enhancing generator controls in the wind power station. To solve this problem adaptive exciter system are used which will adjust the load voltage and the system voltage with that of the reference voltage. The generator output voltage is applied to the adaptive exciter controller (AEC) which updates its stability weight value on demand. The design of modules can be done in Xilinx system generator (XSG). The modules that are designed in system generator can be implemented in FPGA.
01 Jan 2017
TL;DR: The outcome show the group of load of energy management system with the planned approach increases the effectiveness by minimizing the losses while compared to existing method.
Abstract: This paper presents an energy management system with reduced energy consumption as well as to look for alternative sources of energy which are cheaper to minimize the total cost of energy consumption. A cluster of interconnected price-responsive demands (e.g., a college campus) that is supplied by the main grid and a stochastic distributed energy resources (DER) e.g., a wind and solar power plants with energy storage facilities is considered. An energy management system (EMS) arranges the value responsive requests inside of the bunch and gives the interface to vitality exchanging between the requests and the suppliers, primary lattice and DER. Vitality administration calculation permits the bunch of requests to purchase, store and offer vitality at suitable times. To solve this EMS problem, an optimization algorithm base on linear programming (LP) approach has been implemented. Toward estimate the performance of the planned algorithm an IEEE 14 bus system was consider. The outcome show with the purpose of the group of load of energy management system with the planned approach increases the effectiveness by minimizing the losses while compared to existing method. Improvement in the method is the optimization problem having two sources vulnerability identified with both the generation level of the DER and the cost of the vitality acquired from/sold to the fundamental network, which is demonstrated utilizing robust optimization (RO) procedures. Shrewd grid (SG) innovation is utilized to acknowledge 2-route correspondence between the EMS and the primary lattice and between the EMS and DER.