Author (s) : DOI : 10.32692/IJDI-ERET/7.1.2018.1801

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1). Charles Chinwuba Ike, Enugu State University of Science and Technology, Enugu State, Nigeria, Enugu State, NIGERIA

Abstract :

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In this study, the fourth order homogeneous partial differential equation (PDE) governing the free vibrations of Euler -Bernoulli beams on Winkler foundation with prismatic cross-sections was solved using the finite Fourier sine integral transformation method. Euler-Bernoulli beam theory was used to model the beam while Winkler foundation model was used for the foundation. The beam of length l was assumed to be simply supported at the ends x = 0, and x = l. The PDE was decoupled by the assumption of harmonic vibration. Application of the finite Fourier sine integral transformation on the decoupled equation resulted in the transformation of the problem to an algebraic eigenvalue problem. The condition for non-trivial solutions resulted to the characteristic frequency equation which was expressed in terms of a non-dimensional frequency parameter Wn'. The frequency equation which was observed to be the exact frequency equation obtained in the literature using the Navier series method, was solved to obtain the non-dimensional frequencies. Numerical values of the non-dimensional frequencies were computed for the case where 4B^4=1, l = 1, and for n = 1, 2, 3, 4, 5. It was found that exact values of the non-dimensional frequencies were obtained using the present method.

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Author (s) : DOI : 10.32692/IJDI-ERET/7.1.2018.1802

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1). Dr. C. H. Vithalani, Government Engineering College, Rajkot, Gujarat, India, Gujarat, India
2). H. M. Mehta, B. H. Gardi College of Engineering and Technology, Rajkot, Gujarat, India, Gujarat, India
3). Prof. M. P. Patel, B. H. Gardi College of Engineering and Technology, Rajkot, Gujarat, India, Gujarat, India

Abstract :

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This paper represents how EEG based BCI module can be used with HCI devices for the physically disabled people to interact with the surrounding world. EEG is one of the imaging technology which records electrical activity spontaneously generated from the brain. Owing to the less accuracy of this cheaper and affordable BCI module, it cannot be used where many control signals are required to operate any device. In this paper, Neurosky’s Brainwave starter kit has been used as a BCI module which has a mono channel sensor to acquire the brain signals. To increase the ability of such BCI module, Eye Gaze Tracker (Human Computer Interface) has been attached with it. By merging these two techniques, windows software of mouse controller is developed using Python language and OpenCV as a third party module. This python program file can also be used in other operating systems such as Linux, OSX etc. This software can be extremely useful to ALS (Amyotrophic Lateral Sclerosis) patients, paralyzed people, who are lacking any kind of muscular movement to control any devices.

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Author (s) : DOI : 10.32692/IJDI-ERET/7.1.2018.1803

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1). Aakash N. Samani, B.H. Gardi College of Engineering & Technology, Rajkot, Gujarat, India, Gujarat, India
2). Prof. Parag Paija, B. H. Gardi College of Engineering & Technology, Rajkot, Gujarat, India, Gujarat, India

Abstract :

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Milling is the machining process of using rotary cutters to remove material from a workpiece by advancing in a direction at an angle with the axis of the tool. It covers a wide variety of different operations and machines, on scales from small individual parts to large, heavy-duty gang milling operations. It is one of the most commonly used processes in industry and machine shops today for machining parts to precise sizes and shapes. Face Milling is the most common milling operation and can be performed using a wide range of different tools. Cutters with a 45-degree entering angle are most frequently used, but round insert cutters, square holder cutters and side and face mills are also used for certain conditions. This study has been undertaken to investigate the optimum parameter using Design of Experiments through Taguchi method to improve surface roughness of AISI 1010 steel in the milling process using L27 Orthogonal array. In this work an attempt has made to find optimum cutting parameters in Milling Machine from Spindle Speed, Feed & Depth of Cut to improve Surface Roughness with the help of Vertical Machining Centre Batliboi for a Specific material AISI 1010 Steel (commonly known as Black Bar). The Results obtained with Roughness tests though Roughness Tester(Mitutoyo) are Validated with the help of Minitab Software.

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Author (s) : DOI : 10.32692/IJDI-ERET/7.1.2018.1804

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1). Dr. Sridhar K., Chhatrapati Shivaji Institute of Technology, Durg, Chhattisgarh, India, Chhattisgarh, India
2). Raushan Kumar, Department of Mechanical Engineering, Durg, Chhattisgarh, India, Chhattisgarh, India

Abstract :

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As the performance of manufacturing system is directly related to the optimum utilization of time and resources, optimal scheduling of work activities plays an important role. Job shop scheduling is an optimization problem, in which a set of jobs has to be processed on a set of machines such that some specific objective functions are to be minimized. Here an effort has been made to minimize the makespan and average job flow time of the job shop scheduling problem of following two natures: 5-job 3-machine problem and 10-job 5-machine problem. Data for these problems were collected from a small scale industry. This paper describes the steps in well-known heuristics such as Palmer’s, Campbell Dudek and Smith (CDS) & Nawaz Enscore and Ham (NEH) and a simple algorithm for proposed Genetic Algorithm. This paper investigates the present scheduling system followed by the industry and presents the solutions for the problems considered through heuristics and proposed Genetic Algorithm. Then the comparisons were made among the results obtained through proposed genetic algorithm, heuristics and LEKIN scheduling software to suggest an optimal sequence for the problems considered.

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Author (s) : DOI : 10.32692/IJDI-ERET/7.1.2018.1805

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1). Dr.C.S.Kanimozhiselvi, Kongu Engineering College, Erode, Tamilnadu, India, Tamilnadu, India
2). Dr.S.Malliga, Kongu Engineering College, Erode, Tamilnadu, India, Tamilnadu, India
3). Dr.S.V.Kogilavani, Kongu Engineering College, Erode, Tamilnadu, India, Tamilnadu, India

Abstract :

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Automatic detection of the paraphrase is a process which has immense applications like plagiarism detection and new event detection. Paraphrase is the representation of a given fact in more than one way by means of different phrases. Identification of a paraphrase is a classical natural language processing task which is of classification type. The aim is to detect sentence level plagiarism through paraphrase identification of sentences in Tamil. The sentences in Tamil language are processed using Tamil shallow parser. Shallow parsing is used to analyze a sentence to identify Part of Speech of sentences such as nouns, verbs, adjectives etc. Sentences are also processed using word2vec tool to identify word order between sentences. From the output of the shallow parsing process and word2vec, the feature file is constructed where the text values are converted into numerical matrix. This feature file is given as input into machine learning algorithms which in turn classify the sentence pair into paraphrase or not-a-paraphrase. If the result is paraphrase means, that sentence will be considered as plagiarized sentence. The accuracy and performance of these methods are measured based on evaluation parameters like accuracy, precision, recall and f-measure. The analysis based on these performance measures shows that Random Forest method classifies the sentence pair into paraphrase or not-a-paraphrase with high accuracy compared to other methods.

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Author (s) : DOI : 10.32692/IJDI-ERET/7.1.2018.1806

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1). Malashree P, B.V.B. College of Engineering and Technology, Hubballi, Karnataka, India, Karnataka, India
2). Sahebagowda, B V B College of Engineering & Technology, Hubli, Karnataka, India, Karnataka, India
3). V.N.Gaitonde, KLE Technological University, Hubballi, Karnataka, India, Karnataka, India
4). Vinayak Kulkarni, B V B College of Engineering & Technology, Hubli, Karnataka, India

Abstract :

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The work is carried out to determine the cycle time to produce rolling shutter and propose a better method to reduce the cycle time of the same using work study techniques and also recommend the ways to reduce fatigue level of worker using Ergonomics approach at metal section industry. As the manufacturing process does not have efficient work procedure and workers are exaggerated by unwanted fatigue, so the industry is not able to improve productivity. Thus, the purpose of this work is to suggest improvement areas to improve its productivity and efficiency by analyzing the problems associated with it. Identified problems were solved by video work study technique. An improvement in industry was achieved by minimizing the cycle time, changing the sequence of operation and reducing the workers fatigue. Work pro software is used for analyzing the data and to develop the proposed method.

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