Brijesh Patel

National Taiwan University of Science and Technology · Department of Mechanical Engineering

In the era of growing integration of intelligent sensors in automated systems, propelled by advancements in industrial automation and the Internet of Things (IoT). This paper presents an innovative polyvinylidene difluoride (PVDF)/graphene piezoelectric membrane sensor specifically designed for direct force measurement. The remarkable properties of...

This paper introduces an innovative dual-path planning algorithm rooted in a topological three-dimensional Riemannian manifold (T3DRM) to optimize drone navigation in complex environments. It seamlessly integrates strategies for both discrete and continuous obstacles, employing spherical navigation for the former and hyperbolic paths for the latter...

Navigation poses a significant challenge for autonomous vehicles, prompting the exploration of various bio-inspired artificial intelligence techniques to address issues related to path generation, obstacle avoidance, and optimal path planning. Numerous studies have delved into bio-inspired approaches to navigate and overcome obstacles. In this pape...

This research article outlines the design and methodology employed in the development of a vision-based micro-manipulation system, emphasizing its constituent components. While the system is initially tailored for applications involving living cells, its adaptability to other objects is highlighted. The integral components include an image enhancem...

Plastic pervasiveness in daily life has increased in tandem with population growth. Ethylene–vinyl acetate (EVA) is emerging as a popular compound for manufacturing plastic, which is obtained from ethylene and vinyl acetate synthesis. EVA is produced using autoclave reactors, which often encounter bearing damage under specific operating conditions....

This paper describes a non-destructive detection method for identifying cable defects using K-mer frequency encoding. The detection methodology combines magnetic leakage detection equipment with artificial intelligence for precise identification. The cable defect identification process includes cable signal acquisition, K-mer frequency encoding, an...

This paper proposes an optimized mobile robot navigation strategy using a functional firefly algorithm (FFA) and choice function. This approach has two key advantages: first, the linear objective function performs efficiently with the single degree and finite-order polynomial time operation, and second, the cartesian constraint performs compactly w...

The reliability of the cutting tool is a key factor in accomplishing the objective of the machining processes. The methods and learning techniques to predict the tool life have been studied for several decades on basic machine tools, including milling, turning, and also drilling as a part of a smart manufacturing system. The current state of the cu...

In contemporary biomedical research, the accurate automatic detection of cells within intricate microscopic imagery stands as a cornerstone for scientific advancement. Leveraging state-of-the-art deep learning techniques, this study introduces a novel amalgamation of Fuzzy Automatic Contrast Enhancement (FACE) and the You Only Look Once (YOLO) fram...

The main focus of the work is on developing a new class of hybrid composite with polyester as the continuous phase and micro-sized hexagonal boron nitride (hBN) and short sisal fibre as the discontinuous phases. The effect of loading of discontinuous phases on the different properties of the composites is analysed experimentally. The incorporation...

Navigation is the most challenging issue in autonomous vehicles. Researchers in the current era have developed many Artificial Intelligence techniques to navigate, generate paths, and avoid obstacles for optimum path planning for autonomous vehicles. Different studies have investigated bio-inspired techniques to overcome the navigation issue, inclu...

This work investigates a composite prepared with polyester and hexagonal boron nitride (hBN) in terms of the properties required in the material for microelectronics applications. The influence of filler loading and the surface treatment of hBN with a silane coupling agent ( γ ‐aminopropyl triethoxy silane) is studied. It has been observed that the...

Clustering is effective method to increase network lifetime, energy efficiency, and connectivity of sensor nodes in wireless sensor network. An energy efficient clustering algorithm has been proposed in this paper. Sensor nodes are clustered using K-means algorithm which dynamically forms number of clusters in accordance with number of alive nodes....

Motion control platforms have various applications in the manufacturing and automation industries. Different literature provides multiple issues related to the kinematics and dynamics of self-guided robots for transportation regarding platform balancing. Self-balancing platforms are utilized in many deliveries, stabilization, and transportation sys...

Recently, human activity recognition (HAR) techniques have made remarkable developments in the field of machine learning. In this paper, we classify human gestures using data collected from a curved piezoelectric sensor, including elbow movement, wrist turning, wrist bending, coughing, and neck bending. The classification process relies on data col...

With the wide application of unmanned vehicles (UV) in a complex environment, the research on path optimization and obstacle detection system has gradually become an important research part in the field of unmanned vehicle (UV) systems. The basic concept of path planning methods has always been a basic and difficult problem, especially in complex e...

In this paper, we offer a cost-effective water heating solution for the rural people of Chhattisgarh, India. A single glazed floating cover has been designed from locally available materials in the current effort to boost the effectiveness of open heating water outside in the sun. The cover's upper face is made of transparent polythene, while the l...

Electrical discharge machining is a versatile machining technology that uses precisely directed sparks within the range of the dielectric fluid and between the electrodes to make electrically conductive products. The influence of different processing parameters on diverse metal matrix composites, including new reinforcing elements (silicon carbides...

The solar distillation system offers a sustainable tool for freshwater production. However, the lower production output is one of the barriers to the non-commercialization of solar distillation systems. Although for small-scale production, solar distillation is still considered to be an economical and reliable option. To test the viability and affo...

According to current estimates, industrial effluent discharge has contaminated around one-third of INDIA’s water, solid waste, and other hazardous waste.The bulk of these defaulting industries are petrochemicals, sugar mills, distilleries, leather processing industries, paper mills, agrochemical and pesticide manufacturing sectors, and pharmaceutic...

Water quality is important for understanding the water suitability in the case of drinking and irrigation practices. According to the various water quality parameters, the groundwater suitability for drinking and irrigational purposes is evaluated in Naya Raipur, Atal Nagar Chhattisgarh. The water quality analysis were conducted on 28 randomly coll...

The effect of full-scale geometrical nonlinearity on the eigenfrequencies of the porous graded curved panel structure is examined in this current work, considering the configurational variation due to curvature (single/doubly). A nonlinear isoparametric finite element formulation has been derived using the Green-Lagrange nonlinear strain and the hi...

Silicon carbide mixed electrical discharge machining (SCM-EDM), an unconventional machining process that utilizes an electrolyte mix additive, combines the advantage of various energies (abrasive, heat). The aim of these articles is to investigate the impact of control variables on the machining performance of SCM-EDM using LM-25/SiC MMC. The major...

Remote sensing and Geographic Information System (GIS) are the most efficient tools for spatial data processing. This Spatial technique helps in generating data on natural resources such as land, forests, water, and their management with planning. The study focuses on assessing land change and surface temperature for Nagpur city, Maharashtra, for t...

The eigenfrequency characteristics of the doubly-curved FG panel are examined in the present article considering multi-directional grading influence and geometrical large deformation. In this study, different kinds of material grading patterns and porosity distributions are used for the modelling of the FG structure. Initially, a mathematical model...

Electrical discharge machining (EDM) is the most efficient and prevalent advanced machining process for difficult to machine materials, such as superalloys, composite materials, and heat-resistant steels. The efficiency of the machining process is measured in terms of material removal rate, surface roughness, and tool wear rate. The downsides of ED...

The dynamic deflection characteristics of the hybrid composite structure (hollow-glass microsphere and multi-layer glass/epoxy composite) were computed numerically using in-house MATLAB code and verified with experimental results. The physical hybrid structural model is derived in the framework of equivalent higher-order single-layer kinematic theo...

Purpose With the increasing demand for surveillance and smart transportation, drone technology has become the center of attraction for robotics researchers. This study aims to introduce a new path planning approach to drone navigation based on topology in an uncertain environment. The main objective of this study is to use the Ricci flow evolution...

Clustering is effective method to increase network lifetime, energy efficiency, and connectivity of Sensor nodes in wireless sensor network. An energy efficient clustering algorithm has been proposed in this paper. Sensor nodes are clustered using K-means algorithm which dynamically forms number of clusters in accordance with number of alive nodes....

In this paper, the path planning approach for the wheeled mobile robot has been presented using Metric-Cauchy Sequence for static environment. The Euclidean metric associated with the distance measurement and the Cauchy sequence optimizes the navigational decisions. This dual approach applies to study navigational challenges such as path complexity...

The transient deflections of the functionally graded structure considering various types of patterns (power-law, sigmoid and exponential) are computed in this paper numerically using a higher-order shear deformation model. Also, the model includes variable distribution of porosity, i.e., the even and the uneven types, through the thickness directio...

The design of the turbine has many complex terms and its efficiency is always related to its material selection and performance. Gas turbine efficiency is affected by the crucial limiting factors like temperature, thermal stress, and fatigue. The most common problems of components will be at different magnitudes of temperature, which results in the...

In the present scenario for the development of the unmanned aerial vehicle (UAV), artificial intelligence plays an important role in path planning and obstacle detection. Due to different environments, it is always a task to achieve the proper moment for achieving the target goal while avoiding obstacles with minimum human interference. To achieve...

Leukemia involves all organs and tissues of the body. Leukemic infiltration of the pericardium has been documented frequently at post-mortem examinations. Clinically, however, pericardial effusion with cardiac tamponade is rare, and only isolated case reports have been described. In all the reported cases, therapeutic pericardiocentesis was require...

Due to its comparable thermo-mechanical properties to petroleum-based resins, the production of biopolymers has led to their rapid growth in recent years, especially in the automotive and construction industries. Because of its excellent mechanical properties and biodegradability, poly (lactic acid) (PLA) has achieved great commercial interest in t...

In this paper, we present a review of on hand IDS (Intrusion Detection Techniques) for DDoS assaults. Interruption discovery framework is a well known and computationally costly task. We additionally clarify the essentials of interruption identification framework. We represent the present methodologies for Intrusion Detection framework. From the ex...

The natural fiber (Luffa cylindrica fiber) reinforced epoxy composite has been fabricated and their structural responses (frequency and deflection) have been computed experimentally and numerically first time using the corresponding experimental elastic properties. The numerical responses are obtained with the help of an in-house MATLAB code develo...

A great development occurs due to the use of small unmanned air systems known as drones, Unmanned Aerial Vehicle (UAV) or Unmanned Aerial Systems. As this systems have many components where major research have been done which focuses on new applications of UAV's, control optimization, Enhancement of Endurance Limit ,GPS, Autopilot etc. There is sma...

As the development and research work in space is greatly increasing now a days, more and more rockets, satellites, and spacecraft are made to sent in space for the various purposes, which work for proposed years and some of those also may fail to work but they are physically present in the orbit as a junk although they are not for any kind of furth...

This paper discusses the effect on axial-flow compressor, when climatic conditions are changing. Ensuring compressor run at maximum effectiveness is a primary aim for operators. In the existing economic climate, whatever that increases productivity, and hence profit, is obviously welcome. From climate point of view, it is also significant that comp...

Design of Turbo machinery is complex and efficiency is directly related to material performance, material selection is of prime importance. Temperature limitations are the most crucial limiting factors to gas turbine efficiencies. This paper presents the life of GTD 111 applied to gas turbine blade based on LCF and TMF test results. The LCF tests w...

Design of Turbo machinery is complex and efficiency is directly related to material performance, material selection is of prime importance. Temperature limitations are the most crucial limiting factors to gas turbine efficiencies. This paper presents the life of GTD 111 applied to gas turbine blade based on LCF and TMF test results. The LCF tests w...

This paper gives the brief introduction of Hybrid Composites, how it forms and its types. The incorporation of several different types of fibers (Bio fibers, Synthetic Fibers & Metal fibers) into a single matrix has led to the development of hybrid composites. In special cases there may be two resins systems combined to form the Hybrid Composites l...