Jyoti Lele

Bio: Jyoti Lele is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Fundamental frequency & Plotter. The author has an hindex of 3, co-authored 5 publications receiving 18 citations.

Recent Developments in 3D Printing Technologies: Review

Abstract: 3D Printing is a technology which is based on additive manufacturing. This technology has a potential to change the manufacturing industry by manufacturing product in the shortest time period where at first the same product required days, months or years. The study on these printers and their software is to reduce the cost of printers as compared to one already present in the market. This paper is based on the types of 3D printing methods used from the early 1980s till today and their hardware and software used.

Implementation of pitch detection algorithms for pathological voices

Abstract: Pitch detection algorithm is important feature in the speech processing algorithms. It can be used for speaker recognition, speech instruction of the hearing impaired ones, vocoder systems, discriminate normal and pathological voice etc. Hence robust and accurate determination of pitch is necessary. The paper involves determining pitch of the speech signal by the pitch detection algorithm — 1) Autocorrelation method, 2) Cepstrum Method, 3) Simplified Inverse Filtering Method 4) Data Reduction Method. A measurement is made on the pitch contours to explore how voice/acoustic parameter like fundamental frequency can determine person's health. The paper attempts to identify and classify the pathological voices from the normal voices using k-NN algorithm. The relative performance comparison is done in terms of accuracy and speed of operation of the above mentioned algorithms.

Implementation of Paper PCB Using Conductive Ink 2D Plotter

Abstract: This system is mainly based on two techniques, CNC machine and 3D printing. 2D plotter is used for drawing circuits on any surface like paper, cardboard as per the user requirement and conductive ink or marker is used as an object for drawing circuits. Conductive marker is placed in such a way that it can be moved in x and y direction using stepper motor and in up and down direction using servo motor. Arduino Uno or mega and CNC shield is used to drive motors. Benbox software is used to generate G-code and give input image of drawn circuit to the plotter. The research work is focused on a low cost and simple controlling system for 2D plotter machines to draw electronic circuit diagrams of PCBs on any surface.

Towards Raga Identification of Hindustani Classical Music

Abstract: Raga, one of the major pillars of Indian Classical music is arrangement of swaras in specific order and time. In western music a lot of research has been done on notes detection and scale identification. But being swar based, very less work is done in Indian classical music. We propose a raga identification system with different methods like Fourier transform, chromogram and spectrogram with database of few santoor samples and few songs in light music. Many variations in expressions and timings at the time of performance limit the accuracy of the system and we get reasonable accuracy for the raga identification.

Embedded Control System for Self Adjusting Scissor Lift

Abstract: Scissor lifts are used as an alternative to scaffolding and ladders to work in elevated areas, they are very commonly used in warehouses and working sites. But, the random distribution of load on and uneven surfaces on working sites, have accounted for a lot fatal accidents due to lift tip-over. The current understanding of scissor lift considers static load and working conditions. This paper proposes an embedded system, which can be added to the scissor lifts current control mechanism using an inertial measurement unit (IMU) to measure the tilt angles of the platform, and relays for signal conditioning. Complementary filter has been applied to decrease the drift error in angle measurement by the IMU. The electro-mechanical relays have high Mean Time between Failure hence increasing overall reliability of the system. The performance of the system along with the dynamic control mechanism have been mentioned in the paper.

Voice Recognition and Voice Comparison using Machine Learning Techniques: A Survey

Abstract: Voice comparison is a variant of speaker recognition or voice recognition. Voice comparison plays a significant role in the forensic science field and security systems. Precise voice comparison is a challenging problem. Traditionally, different classification and comparison models were used by the researchers to solve the speaker recognition and the voice comparison, respectively but deep learning is gaining popularity because of its strength in accuracy when trained with large amounts of data. This paper focuses on an elaborated literature survey on both traditional and deep learning-based methods of speaker recognition and voice comparison. This paper also discusses publicly available datasets that are used for speaker recognition and voice comparison by researchers. This concise paper would provide substantial input to beginners and researchers for understanding the domain of voice recognition and voice comparison.

Inertial Measurement Unit를 이용한 관절 가동 범위 측정

Abstract: This research aims to measure and analyze of range of motion in real time with inertial measurement unit(IMU). It can provided help to diagnose early therapy for a musculoskeletal disorders. Also, IMU can be evaluated state of joint motion in each direction, transverse, sagittal and coronal, respectively. As a result, it can be helpful to diagnose of musculoskeletal disorders by range of motion and develop of customized rehabilitation program.

Additive Manufacturing - based Healthcare 3D Model for Education: Literature Review and A Feasibility Study

Abstract: Additive Manufacturing (AM) is a synonym for 3D printing (3DP) technology, in which 3D objects are constructed by successively depositing material in layers. Recently, AM has become widespread for industrial use thanks to the benefits in designing parts, reducing lead time, improving inventory, and supply chain efficiency. However, an application in an educational sector is still relatively limited. In this study, we initially conduct a review for recent five-year literature to understand the current trend of AM in an educational sector. The result clearly shows that an engineering discipline dominates other subjects of interest. Next, we discuss our feasibility study to fabricate 3D medical model aiming to enhance an understanding and learning of medical students, divided into six-step process. Based on the component of vascular anatomy of head, the medical images files called DICOM are obtained and then transformed to the 3D digital file suitable for 3DP application. Then, the simulation software is used to properly adjust the digital file to enhance the readability of anatomy and the success of model printing. Finally, the model is printed using resin-type material from AM printer called ULTRA 3SP technology.

Does 3D-assisted surgery of tibial plateau fractures improve surgical and patient outcome? A systematic review of 1074 patients

Abstract: The aim of this systematic review was to provide an overview of current applications of 3D technologies in surgical management of tibial plateau fractures and to assess whether 3D-assisted surgery results in improved clinical outcome as compared to surgery based on conventional imaging modalities. A literature search was performed in Pubmed and Embase for articles reporting on the use of 3D techniques in operative management of tibial plateau fractures. This systematic review was performed in concordance with the PRISMA-guidelines. Methodological quality and risk of bias was assessed according to the guidelines of the McMaster Critical Appraisal. Differences in terms of operation time, blood loss, fluoroscopy frequency, intra-operative revision rates and patient-reported outcomes between 3D-assisted and conventional surgery were assessed. Data were pooled using the inverse variance weighting method in RevMan. Twenty articles evaluating 948 patients treated with 3D-assisted surgery and 126 patients with conventional surgery were included. Five different concepts of 3D-assisted surgery were identified: ‘3D virtual visualization’, ‘3D printed hand-held fracture models’, ‘Pre-contouring of osteosynthesis plates’, ‘3D printed surgical guides’, and ‘Intra-operative 3D imaging’. 3D-assisted surgery resulted in reduced operation time (104.7 vs. 126.4 min; P < 0.01), less blood loss (241 ml vs. 306 ml; P < 0.01), decreased frequency of fluoroscopy (5.8 vs. 9.1 times; P < 0.01). No differences in functional outcome was found (Hospital for Special Surgery Knee-Rating Scale: 88.6 vs. 82.8; P = 0.23). Five concepts of 3D-assisted surgical management of tibial plateau fractures emerged over the last decade. These include 3D virtual fracture visualization, 3D-printed hand-held fracture models for surgical planning, 3D-printed models for pre-contouring of osteosynthesis plates, 3D-printed surgical guides, and intra-operative 3D imaging. 3D-assisted surgery may have a positive effect on operation time, blood loss, and fluoroscopy frequency.