VOLUME 4, ISSUE 8, AUGUST 2017

Abstract: With the recent developments in computing technology, increased efforts have gone into simulation of various scientific methods and phenomenon in engineering fields. One such case is the simulation of heat and mass transfer equations which is becoming more and more important in analyzing various scenarios in engineering applications. Analyzing the heat and mass transfer phenomenon in a thermal environment requires us to simulate it. However, this process of numerical solution of heat and mass transfer equation is very much time consuming. Therefore, this paper aims at utilizing one of the acceleration techniques developed in the graphics community that exploits a graphics processing unit (GPU) which is applied to the numerical solutions of heat and mass transfer equations. The nVidia Compute Unified Device Architecture (CUDA) programming model caters a good method of applying parallel computing to program the graphical processing unit. This paper shows a good improvement in the performance while solving the heat and mass transfer equations for solid and hollow capillary porous cylinder with the Natural boundary conditions and initial conditions numerically running on GPU. This heat and mass transfer simulation is implemented using CUDA platform on nVidia Quadro FX 4800 graphics card. Our experimental results depict the drastic performance improvement when GPU is used to perform heat and mass transfer simulation. GPU can significantly accelerate the performance with a maximum observed speedup of more than 8 fold. Therefore, the GPU is a good approach to accelerate the heat and mass transfer simulation.

Keywords: Numerical Solution; Heat and Mass Transfer; General Purpose Graphical Processing Unit; CUDA.

Abstract: In this paper, we prove a common fixed point theorem for weakly commuting mappings in digital metric spaces and give an example in support of our result.

Keywords: Fixed point, Digital topology, Digital contraction, weakly Commuting mappings.

Abstract: In present days, the usage of power electronic devices is increasing rapidly specially in switched mode power supply, (SMPS) units which are used in various applications like cell phone chargers, adaptors for laptops and powering to LED circuits etc., The dc - dc converters plays major role in these SMPS for changing the voltages from one level to another level as per the load demand. Thus, the traditional converters, such as boost and fly back converters are not suitable for high step conversion because of the extreme duty cycle (or) high turn's ratio. In this project a high step-up dc-dc converter with high voltage gain is analyzed for renewable energy systems.it has potential advantages of simple structure, high efficiency, low voltage stress, low emi. As the photovoltaic (PV) arrays fuel cells and super capacitors produce low output voltage (12-30) and this voltage is boosted up to (350-400). In this project a single switch high step up converter is analysed. It is simulated in closed loop controller's voltage mode control, current mode control, and fuzzy logic control is used. The output voltage regulation is maintain constant. When source & load is sudden rise or fall the voltage regulation is constant. To decrease switching loss and to increase the efficiency of the converter.

Keywords: High Step-Up, DC-DC, SEPIC, Renewable Energy.

Abstract: A novel ultrahigh step-up dc-dc converter, which utilizes the features of modularity, multilevel and electrical isolation is proposed in this paper. To achieve an ultrahigh step-up ratio a novel dc-dc converter topology while maintaining a high conversion efficiency. It adopts a three degree of freedom approach in the circuit design. New control strategies including the two-section output voltage control and cell idle control are also developed to improve the converter performance. To a wide range of high voltage and high power distributed generation and dc power transmission the step-up conversion ratio can reach 1:14 with a peak efficiency of 94% and the proposed techniques can be applied. By using the simulation results we can analyse the proposed method. To improve the performance, a novel control strategy using Fuzzy Logic Controller (FLC) is proposed it will eliminates the drawback of using fixed gain in conventional PI controller.

Keywords: Boost converter, control strategy, dc-dc power conversion, degrees of freedom (DoF), high step-up converter, and modularization.

Abstract: Present investigation lead to know about the diversity of intramural aeromycobiota of Rice Godown of a rice mill situated in Desaiganj, the place located in the Gadchiroli district of Maharashtra state. During the present study a total count of 597 fungal colonies comprises of 28 species and 13 genera were isolated over CzA media. Deuteromycotina was found to be the dominant one followed by Ascomycotina and the maximum number of species was found to be of Deuteromycotina. Aspergillus was dominated with the frequency of 34% followed by Alternaria and Fusarium. Simpson's (1-D) diversity index was found to be 0.9605 and the Shanon (H') diversity index was found to be 3.279.

Keywords: Intramural, Aeromycoflora, Rice mill, Godown, Aspergillus, Alternaria.

Abstract: Biometrics refers to an automatic authentication of a person based on his physiological and/or behavioural characteristics. The usage of biometrics as a reliable means of authentication is currently emerging. This paper proposes a unique approach for generating base point of an elliptic curve using finger print of a person for authentication which is a prime parameter in Elliptic curve cryptosystem.

Keywords: Biometrics, Authentication, Fingerprint, ECC, Keys.

Abstract: An experiment was conducted during kharif 2016 at Post Graduate Research Farm, College of Agriculture, Kolhapur Maharashtra. The objectives of experiment were to find out suitable varieties of little millet, to study the fertilizer requirement of little millet, the interaction effects of fertilizer and variety on little millet and the economics of different treatments in little millet. The growth attributing characters of little millet expressed in terms of plant height, number of functional leaves hill-1, number of tillers hill-1, leaf area and dry matter accumulationplant-1were significantly higher in Phule Ekadashi and application of 150 per cent RDF. The Phule Ekadashi variety recorded significantly highest grain (13.45 q ha-1) and straw (16.21q ha-1) yield over OLM 203 (viz., 9.70 and 12.83 q ha-1grain and straw yield respectively). The fertilizer level 150 per cent RDF recorded significantly highest grain 13.40 q ha-1 and straw 16.10 q ha-1yields followed by 125 per cent RDF 12.60 and 15.87 q ha-1 grain and straw respectively. The fertilizer level 100 per cent and 75 per cent RDF recorded lowest grain and straw yield as compared to 125 and 150 per cent RDF. The variety Phule Ekadashi recorded significantly higher net (Rs. 24695 ha-1) monetary returns, benefit cost ratio (1.84) over OLM 203 viz., net (Rs. 9695 ha-1) monetary returns, benefit cost ratio (1.33).

Keywords: Little millet varieties, Fertilizer levels, Interaction effect.

Abstract: The aim of authorship attribution is to identify the author of an anonymous document. Earlier, many types of research used authorship attribution as a multi-class single labeled text classifier problem. However, in several applications, it is neither easy nor possible to find such labeled data so it is necessary to build unsupervised attribution models that are able to estimate similarities or differences in personal style of authors. The present paper experiments authorship clustering using morpheme-based N-gram on unsupervised clustering algorithms like K-means, Mini Batch K-means, and Ward Hierarchial clusterings. The performance of the clustering algorithms is evaluated using silhouette coefficient and calculated B-cubed F-score and found that K-means algorithm achieves better clustering performance on C 50 news groups data set.

Keywords: morphemes; authorship clustering; silhouette coefficient; BCubed F-score.

Abstract: Typical Curvularia leaf spot disease of rice was observed in a rice field of Barasat area in West Bengal and the pathogen isolate was identified as Curvularia affinis Boedjin, 1933 (PP /2883) by ITCC. It is one of the six main pathogenic fungi that infect rice and cause yield loss. This is the first report of C. affinis infection from West Bengal. In this study we isolated, identified and optimized the vegetative growth media and sporulating media for C. affinis. The hyphal branching pattern on different media was also observed at specific time intervals. Here it has been found that potato dextrose agar (PDA) media was best suited for vegetative growth compared to oat meal agar (OMA), malt extract agar (MEA) and plain agar media whereas for conidia and conidiophore development OMA was found to be superior over the other three media. This basic information has relevance towards culture of C. affinis in the laboratory for further studies of the host pathogen interaction and disease development in rice.

Keywords: Curvularia affinis, rice disease, media, radial growth, hyphal branching.

Abstract: Storm water pump stations are usually utilized to facilitate drainage of run-off water from segments of cities and neighborhoods. The velocity of inlet suction pipe (v) and the water depth from suction pipe onset to the water surface (submergence) represent important factors to avoid free and subsurface vortices at pump suction pipes. The present study set out to determine effect of submergence (s) and velocity of inlet suction pipe (v) on the hydraulic conditions of storm water pump station. Through this study, a physical model has been constructed to simulate a typical wet well side for multiple vertical suction pipes with the same diameter (d) and bell mouth out diameter (D). Many runs have been conducted through which effects of the pipe flow velocity, suction pipes spacing (b) and submergence were observed through the four glasses sided well model by means of naked eye, and detected by pressure gauge situated at suction side. Measurements were made for diameter and height of vortices formed. This study aims to determine the best arrangement of pumps intake suction pipes with respect to operational submergence to prevent the occurrence of any type of vortices using minimal wet well dimensions for a given flow rates. The results showed that, surface vortices do not formed when the submergence (s = 1.75D) and spacing (b > 2D) for Fr (u) = 1.

Keywords: Vortices, Pump Intake, Submergence.

Abstract: Aluminium is most commonly used material in engineering due to its good mechanical properities like weight to strength ratio, ductility and thermal conductivity etc. The conventional aluminium cannot meet the requirements of the modern industry. These requirements can be fulfilled by producing AMCs. In the present study,conventional and economic technique of stir casting was used to produce aluminium matrix composite which involves stirring the filler in the molten metal. In this study, aluminium Al6063 was used as a matrix and fine particles of Silicon carbide(Sic) and coconut shell ash(CSA) as reinforcement. The stir casting method was used for producing AMCs due to simplicity. Stirring was carried out with the help of machine for 15 mins at stirring rate of 250 rpm. The stirring speed was kept constant throughout the process. To analyze the effect of weight percentage of the reinforcements, tensile test, impact test, hardness test and optical microscopy were performed. Results show that the impact test, tensile strength and hardness of reinforced matrix increased as compared to unreinforced matrix. The optical microscopy shows the proper mixing of Al6063,CSA and SiC into the matrix. Present work is focused on the study of the effect of reinforcement on Al based MMC with addition of Sic and CSA with weight percentage of 4%, 8%, 12% respectively using stir casting technique. Various tests such as optical microscopy, tensile strength test, hardness as well as impact test were performed to investigate the mechanical behavior of composite alloy.

Keywords: MMCs, NFRCs, Stir Casting.

Abstract: The surface roughness is one of the most specified customer requirements in metal cutting industries and it plays a vital role in determining, how a real object interacts with its environment. Rough surface usually wear more quickly and have higher friction coefficients than smooth surfaces, since roughness is a good predictor of the performance of a mechanical components, its measurement carries vital importance. Since productivity is linked to Material Removal Rate (MRR), its investigation is also equally important. End milling is the most important milling operation and it is widely used in most of the manufacturing industries due to its capability of producing complex geometric surfaces with reasonable accuracy and surface finish. However, with the inventions of CNC milling machine, the flexibility has been adopted along with versatility in end milling process. Proper setting of cutting parameter is important to obtain better surface quality. Unfortunately, conventional trial and error method is time consuming as well as it incurs high cost. The purpose for this study is to determine the most significant parameter and its optimum range in CNC end milling process using various statistical tools such as Taguchi's grey relational method, Analysis of variance (ANOVA), and Regression analysis. It is also proposed to develop a mathematical model, which can be used for prediction. The spindle speed, feed rate, and depth of cut have been chosen as predictors in order to predict the multiple responses surface roughness and Material Removal Rate (MRR) simultaneously. For initial investigation of ANOVA, grey relational analysis and regression analysis may be employed to determine, which is most significant parameter among Spindle speed, feed rate, and depth of cut that influence surface roughness and MRR. With the optimum combination of levels from ANOVA, Grey relational analysis, and Regression analysis, confirmation test is proposed to be conducted. The experiment are planned to be conducted on YCM EV 1020A vertical CNC milling machine and the response will be measured by Mitutoyo SURFTEST SJ-210. In this work, Minitab 16 expert will be used for developing a regression mathematical model, which in turn can be used for prediction.

Keywords: Milling operation, Analysis of Variance (ANOVA), Signal to Noise Ratio (SN), Grey Relational Analysis, Regression Analysis.

Abstract: The machine learning area is being developed much as the artificial intelligence develops. It is important to evaluate the performances of the classification methods correctly since many techniques have been developed so far. Many performance measures are also developed for evaluation of the performance of the classification method. The values of the performance measures are changed under the different situations. We review several evaluation measures derived from a confusion matrix in the paper. Then, we investigate the change of the values of the performance measures under the various situations.

Keywords: Classification, Performance, Evaluation, Confusion Matrix.

Abstract: Domestic refrigerators are among the most widely used household appliances and a great portion of energy is used by these systems. Reduction of temperature fluctuation and enhancement of system performance is the main reason of using phase change materials (PCMs) in refrigeration systems. The aim of this work is to improve the thermal performance of refrigerator using phase change materials (PCMs) under door openings and electrical power failure. The PCM is located around the evaporator tube coil in order to improve its efficiency and to provide a storage capacity allowing several hours of refrigeration without power supply. The system has been tested with water and with a eutectic mixture. The analysis of the results shows a significant improvement of the performance compared to a conventional system.

Keywords: COP, Evaporator, Phase Change Material, Refrigerator.

Abstract: Construction and demolition waste generation has exceedingly increased around the world. About 40% of construction and demolition waste is generated annually. Out of various types of construction and demolition waste, concrete constitutes about 80% of the total waste. Therefore, it is necessary to recycle concrete waste to recycled aggregate and recycled aggregate concrete. The workability and strength properties of the aggregate obtained from the demolished waste concrete are reported in this paper. An attempt has been made to compare the physical and mechanical properties of the conventional concrete aggregates and that of aggregates obtained from the demolished waste concrete. In the present experimental work, it has been decided to conduct studies on three mixes of concrete namely M15, M20 and M25 which are generally and widely used in practice. The recycled coarse aggregates are mixed in different percentage 0 %, 25%, 50%, 75%, and 100% along with the natural aggregates.

Keywords: Recycled aggregates, Mix design, Workability, Compressive strength, Flexural strength.

Abstract: The binary alloy of Al-Cu and ternary alloys of Al-Cu-Mg was developed. The effect of magnesium content on microstructure and mechanical properties of Aluminium-copper-magnesium alloys was examined for different weight % of Magnesium. Rolling and Full annealing of Al-Cu-Mg Aluminium alloys was carried out. Comparison of microstructures and mechanical properties with different deformation rates and aging time was also done and its effect on properties of Al-Cu-Mg Aluminium alloys was analyzed. These properties were then compared with the properties of AlCu5 alloy which underwent the most optimum heat treatment cycle.

Keywords: Al-Cu-Mg alloys, heat treatment, cold-working, aging, strength, hardness.

Abstract: Visuals create major impact in the existing world. Our complex thoughts are easily understood with the support of visuals. The visuals are smartly used by the industry including education, research and training in the form of electronic media. Students of art, architecture and media were chosen for the study on visuals and how it is blending with the e- Learning environment. Various types of visuals are grouped in two kinds as static visuals and dynamic visuals. Questions were prepared from the respective field. Survey method is applied to evaluate the awareness and effectiveness of visuals in e-Learning Content. The study proves that the effective learning happens through the appropriate visuals in the electronic format reaches the end user more directly and quickly. The power of visuals is enhanced among the students with the support of new technology.

Keywords: Visuals, e-Learning, effectiveness, design.

Abstract: Over the years, there have been continuous advancements in the design of internal combustion engines. In particular, the vision behind the evolution of these engines was to ensure a minimum power extraction from the fuel while reducing the emissions and pollution to the environment. The main areas of advancements were in the engine design, the timing controls, fuel injection, combustion and material selection [1]. With the recent technological advancements, the current engine designs are fuel efficient, and produce much fewer emissions.

Keywords: Scavenging: remove (combustion products), Supercharger: increase the density of air, Turbocharger: Provides extra air to the combustion chamber.

Abstract: Sentence similarity detection involves computing the degree of semantic similarity between any given pair(s) of sentences, even if the sentences do not have similar structure. Sentence similarity is an integral part of a large number of applications such as text summarization, information retrieval, text mining and artificial intelligence, to name a few. The paper introduces the concept of sentence similarity, discusses its applications and its importance. The current methods used to obtain sentence similarity are subsequently discussed. Then, an approach that uses ensembling to detect sentence similarity is proposed in the paper.

Keywords: SSentence Similarity, Ensembling, Natural Language Processing, Semantics.

Abstract: We are living in big data era. Massive data are generated every day as the internet develops. The development of internet yields new service which is called social networking service. New analytic methods are also developed to analyse data from the social networking service. We review text mining, sentiment analysis, social network analysis, and text clustering which are widely used for the analysis of social networking service. We also point out the characteristics of the above techniques.

Keywords: Social networking service, Text mining, Sentiment analysis, Social Network analysis, Text clustering.

Abstract: In recent years, it has been discovered that composites are the most discerning and promising material for structural applications. The resilience of biomaterials to deterioration or corrosion by bodily fluids is a crucial prerequisite for their use as orthopedic implants. In the current study, collagen type I fibres and epoxy matrix are combined to create polymer matrix composites with varied fibre volume fractions, including 10%, 20%, 30%, and 40%. The breakdown rate for the collagen fibre reinforced polymer matrix composites was assessed using test specimens made from the manufactured composite and put through an immersion test in order to ascertain the material's suitability as a bio-implant. By performing an immersion test in which the specimen's surface area is exposed to a test media that simulates bodily fluids, the degradation behavior of collagen fibres reinforced epoxy matrix composites is studied. The material's mass loss is monitored throughout the test, and the degradation rate is estimated using the mass loss to determine whether the material is suitable for use as a bio-implant. Here, their potential use in orthopedic bone surgery as an implantable material was thought about and researched. Among the orthopedics uses for these composite materials are bone fixation plates, hip joint replacement, bone cement, and bone transplant.

Keywords: PMC, Collagen fibers type I, Epoxy, Degradation.

Abstract: Holmium (III) complexes with three aminopyridine derivatives as ligands have been investigated for intensity parameters in alcoholic and micellar medium. Triton X-100 surfactant used for micellar medium. The Electronic spectra were recorded in ultraviolet-visible range. The maximum value of oscillator strength in alcoholic medium was 91.88, while the maximum value in micellar medium was 0.9519 for Holmium complex with N2P4HB.

Keywords: Physicochemical Parameters, micellar medium, ultraviolet-visible range.

Abstract: This research is concerned with path analysis and planning of a wheeled drive mobile robot, which still requires improvement. Many authors have used different techniques to resolve these problems, but the stability and optimisation of path and time using intelligent decision-making is still an open area of research for the entire research community. This paper presents the optimisation of path and time using heuristic rule-based technique for a dynamic environment filled with structured and unstructured obstacles. The shapes and positions of the static and moving obstacles in the environment are not known prior to execution for the desired goal. The robot has sensory recognition of specific objects in the environment, and this sensory information provides local information to the robot's controller according to its immediate surroundings. The robot intelligently deals with this information using the proposed and developed heuristic rule-based techniques to achieve the desired objective by avoiding obstacles present in the environment. The perception-based heuristic rules are developed and embedded in the MATLAB software to obtain the simulation results. The simulation results show that the proposed methodology is simple, effective and efficient for wheeled drive robot navigation in a real dynamic environment.

Keywords: Heuristic rule-based, Path planning, Mobile robot, .

Abstract: Cloud Computing is regarded as the forthcoming architectural framework for IT enterprises. Unlike conventional solutions, which maintain stringent physical, logical, and personnel controls over IT services, Cloud Computing relocates application software and databases to expansive data centres, where the management of data and services may lack complete reliability. Through cloud computing and storage, users gain the ability to access and share resources provided by cloud service providers at a reduced marginal cost. Furthermore, with cloud computing and storage services, data is not only stored in the cloud but is also frequently shared among numerous users within a group. This project proposes an Operable Proof of Retrievability, a privacy-preserving auditing mechanism for shared data among large groups in the cloud. It employs signatures to generate verification information for shared data, enabling a third-party auditor to assess the accuracy of the shared data without disclosing the identity of the signer for each block. Ultimately, the proposed auditing scheme aims to facilitate efficient public auditing while safeguarding both identity and data privacy within cloud environments.

Keywords: Integrity, auditing, datacentres, cloud computing.