Search Results - "Bhandari, Binayak"

Comparative Study of Popular Deep Learning Models for Machining Roughness Classification Using Sound and Force Signals by Bhandari, Binayak

“…This study compared popular Deep Learning (DL) architectures to classify machining surface roughness using sound and force data. The DL architectures…”
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Novel Response Surface Technique for Composite Structure Localization Using Variable Acoustic Emission Velocity by Bhandari, Binayak, Maung, Phyo Thu, Prusty, Gangadhara B

“…The time difference of arrival (TDOA) method has traditionally proven effective for locating acoustic emission (AE) sources and detecting structural defects…”
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AI-Empowered Methods for Smart Energy Consumption: A Review of Load Forecasting, Anomaly Detection and Demand Response by Wang, Xinlin, Wang, Hao, Bhandari, Binayak, Cheng, Leming

“…This comprehensive review paper aims to provide an in-depth analysis of the most recent developments in the applications of artificial intelligence (AI)…”
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Integrating Computer Vision and CAD for Precise Dimension Extraction and 3D Solid Model Regeneration for Enhanced Quality Assurance by Bhandari, Binayak, Manandhar, Prakash

“…This paper focuses on the development of an integrated system that can rapidly and accurately extract the geometrical dimensions of a physical object assisted…”
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Mathematical modeling of hybrid renewable energy system: A review on small hydro-solar-wind power generation by Bhandari, Binayak, Poudel, Shiva Raj, Lee, Kyung-Tae, Ahn, Sung-Hoon

“…Harnessing energy from alternative energy source has been recorded since early history. Renewable energy is abundantly found anywhere, free of cost and has…”
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The application of aerodynamic brake for high-speed trains by Lee, MinKyo, Bhandari, Binayak

“…The braking distance for high-speed trains (HST) operating over 200 km/h takes roughly over 6000 m and 1 minute 40 seconds. In an emergency situation, both…”
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Using Artificial Intelligence (AI) to predict organizational agility by Shafiabady, Niusha, Hadjinicolaou, Nick, Din, Fareed Ud, Bhandari, Binayak, Wu, Robert M X, Vakilian, James

“…Since the pandemic organizations have been required to build agility to manage risks, stakeholder engagement, improve capabilities and maturity levels to…”
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Optimization of hybrid renewable energy power systems: A review by Bhandari, Binayak, Lee, Kyung-Tae, Lee, Gil-Yong, Cho, Young-Man, Ahn, Sung-Hoon

“…The characteristics of power produced from photovoltaic (PV) and Wind systems are based on the weather condition. Both the system are very unreliable in itself…”
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Haptic identification of objects using tactile sensing and computer vision by Bhandari, Binayak, Lee, MinKyo

“…A key component lacking in the most humanoid grasping type robot is its ability to accurately predict what it is holding. This article presents a new function…”
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Smart Machining Process Using Machine Learning: A Review and Perspective on Machining Industry by Kim, Dong-Hyeon, Kim, Thomas J. Y., Wang, Xinlin, Kim, Mincheol, Quan, Ying-Jun, Oh, Jin Woo, Min, Soo-Hong, Kim, Hyungjung, Bhandari, Binayak, Yang, Insoon, Ahn, Sung-Hoon

“…The Fourth Industrial Revolution incorporates the digital revolution into the physical world, creating a new direction in a number of fields, including…”
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A review on IPMC material as actuators and sensors: Fabrications, characteristics and applications by Bhandari, Binayak, Lee, Gil-Yong, Ahn, Sung-Hoon

“…In this paper we present a comprehensive review of ionic polymer metal composite (IPMC) covering fundamentals of IPMC; from fabrication processes to control…”
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Machine health management in smart factory: A review by Lee, Gil-Yong, Kim, Mincheol, Quan, Ying-Jun, Kim, Min-Sik, Kim, Thomas Joon Young, Yoon, Hae-Sung, Min, Sangkee, Kim, Dong-Hyeon, Mun, Jeong-Wook, Oh, Jin Woo, Choi, In Gyu, Kim, Chung-Soo, Chu, Won-Shik, Yang, Jinkyu, Bhandari, Binayak, Lee, Choon-Man, Ihn, Jeong-Beom, Ahn, Sung-Hoon

“…In this paper, we present a review of machine health managements for the smart factory. As the Industry 4.0 leads current factory automation and intelligent…”
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SMA-based smart soft composite structure capable of multiple modes of actuation by Rodrigue, Hugo, Wang, Wei, Bhandari, Binayak, Han, Min-Woo, Ahn, Sung-Hoon

“…This paper introduces the design of a smart soft composite (SSC) actuator capable of multiple modes of actuation. This actuator combines four shape memory…”
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Preface for Green Manufacturing Coping with Climate Change and Pandemics by Herrmann, Christoph, Bhandari, Binayak, Kwak, Moon Kyu

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Cross-shaped twisting structure using SMA-based smart soft composite by Rodrigue, Hugo, Wang, Wei, Bhandari, Binayak, Han, Min-Woo, Ahn, Sung-Hoon

“…This paper introduces a novel geometry for a pure-twisting soft morphing actuator that improves the stability of the actuator and allows it to obtain a larger…”
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Effect of twist morphing wing segment on aerodynamic performance of UAV by Rodrigue, Hugo, Cho, Seunghyun, Han, Min-Woo, Bhandari, Binayak, Shim, Jae-Eul, Ahn, Sung-Hoon

“…The design space for morphing wings is incredibly broad and allows for a wide range of improvements versus fixed wing aircrafts such that each type of morphing…”
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Assessment of Socio-Demographic Factors, Mother and Child Health Status, Water, Sanitation, and Hygienic Conditions Existing in a Hilly Rural Village of Nepal by Bhandari, Pratibha, Bak, JeongEun, Lee, Kang-Sung, Chon, Yun, Bhattachan, Anuj, Rimal, Pradip, Shrestha, Biswo Ram, Bhandari, Binayak, Moon, Jeong-Ook, Wu, Namkyu, Chu, Won-Shik, Song, Chul-Ki, Lee, Caroline S, Mogasale, Vittal, Ahn, Sung-Hoon

“…In many low income developing countries, socioeconomic, environmental and demographic factors have been linked to around half of the disease related deaths…”
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Development of a micro-drilling burr-control chart for PCB drilling by Bhandari, Binayak, Hong, Young-Sun, Yoon, Hae-Sung, Moon, Jong-Seol, Pham, Minh-Quan, Lee, Gyu-Bong, Huang, Yuchu, Linke, Barbara S., Dornfeld, D.A., Ahn, Sung-Hoon

“…•We have developed a chart based on DOEs. It can be used to control the burr size for various process parameters.•Micro drills were used for drilling PCB. The…”
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Non-contact surface roughness evaluation of milling surface using CNN-deep learning models by Bhandari, Binayak, Park, GiJun

“…Machining quality control is a bottleneck operation as human inspectors and expensive equipment is needed in most operations. Automated quality assurance in…”
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Implementation of transformer-based deep learning architecture for the development of surface roughness classifier using sound and cutting force signals by Bhandari, Binayak, Park, Gijun, Shafiabady, Niusha

“…Enhanced machining quality, including the appropriate surface roughness of the machined parts, is the focus of many industries. This paper proposes and…”
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