- The document discusses a robotic tactile sensor probe used for contour plotting of weld joints in seam tracking systems. Seam tracking systems help guide welding torches along deformed or irregular weld seams.
- Tactile sensors provide a more affordable alternative to laser sensors for seam tracking. The tactile probe rides over the weld joint and defines contour points to determine the correct trajectory for the welding torch.
- Seam tracking systems have evolved over generations. Current systems can track weld seams in real-time and respond to variations, helping improve weld quality for automated robotic welding.
This document discusses applications of robotics in welding. It describes how robotic welding systems use sensors and programming to automate welding processes. The key points are:
1) Robotic welding systems use sensors, programming, and control systems to track joints, monitor the welding process, and account for variations, replacing dangerous and repetitive manual labor.
2) Sensors play an important role in robotic welding by providing feedback to adaptive control systems that can track joints and monitor quality.
3) Programming techniques for robotic welders include manual, online lead-through, offline using CAD simulations, and kinetic teaching using touchscreens.
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Arc welding is an important technology for joining metals and repairing metal products in manufacturing
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The document describes a robotic car designed for real-time obstacle detection and avoidance using IR sensors. The robotic car can be controlled remotely using mobile phones or a wired remote. It uses a microcontroller and IR sensors to detect obstacles in its path and DC motors to move around. When an obstacle is detected, the robotic car is able to avoid it and find another path to its destination. The robotic car can also follow a black line using the sensor feedback. The design allows the robotic car to navigate autonomously or be controlled remotely for applications like security patrol or assistance.
This document describes a railway inspection system using IoT. The system includes a sensor-equipped robot car that can detect issues on railway tracks, such as cracks, misalignments, or obstacles using tilt, ultrasonic, infrared, water, and fire sensors. The sensor data is sent to a database using WiFi and protocols like MQTT and HTTP. A mobile app allows for live monitoring of sensor readings using Blynk. The system aims to automatically detect potential issues that could cause accidents, in order to make railway inspection more efficient and reduce accidents.
This document discusses applications of robotics in welding. It describes how robotic welding systems use sensors and programming to automate welding processes. The key points are:
1) Robotic welding systems use sensors, programming, and control systems to track joints, monitor the welding process, and account for variations, replacing dangerous and repetitive manual labor.
2) Sensors play an important role in robotic welding by providing feedback to adaptive control systems that can track joints and monitor quality.
3) Programming techniques for robotic welders include manual, online lead-through, offline using CAD simulations, and kinetic teaching using touchscreens.
IRJET - Asset Monitoring of Railroad Switch using IoTIRJET Journal
This document describes a proposed system to monitor railroad switch assets using IoT. The system would monitor the position of the actuator, current supplied to the point machine, and vibrations of the point machine using ultrasonic, current transformer, and piezo-electric sensors respectively. The sensor data would be sent to a cloud server via an ESP32 microcontroller for visualization and monitoring in the control room. This system aims to reduce maintenance delays by enabling continuous remote monitoring of critical switch parameters, as currently maintenance is done manually once a week. It could help reduce accidents by detecting issues early and extending the life of railroad infrastructure.
VISION ALGORITHM FOR SEAM TRACKING IN AUTOMATIC WELDING SYSTEMijmech
Arc welding is an important technology for joining metals and repairing metal products in manufacturing
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automatic welding system assisted by a machine vision system to compute the dimension, position and
orientation of the workpieces. By analysing the image taken by the camera, a simple algorithm is developed
to detect the dimension, position and orientation of the workpieces. The calculated data is then fed to a
controller which controls the welding electrode movement. Use of machine vision system has eliminated the
need to pre feed the workpiece data to the robot and hence the system is made flexible.
IRJET- Automatic Detection of Crack Fault in Railway TrackIRJET Journal
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IRJET- Material Dimension Analyzing in ConveyorIRJET Journal
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IRJET - Robotic Car for Avoidance and Detection of Obstacles using IR SensorIRJET Journal
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IRJET- Study of Audible Identification Alert System for Rash DrivingIRJET Journal
This document describes a proposed audible identification alert system for vehicles driving at high speeds. The system would use a speed sensor to detect vehicle speed and a microcontroller to determine if the speed exceeds a predefined limit. If the limit is exceeded, a buzzer would activate to warn the driver. The document outlines the components that would be required, including a speed sensor, modulator, manipulator, microcontroller and buzzer. It provides details on how each component works and diagrams of the overall system setup. The goal of the system is to reduce accidents caused by reckless or high-speed driving by alerting drivers when their speed is unsafe.
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This document describes an industrial disaster control system using a hanging robot. The proposed system uses a hanging robot that can travel along rope paths to continuously monitor industries. The robot is equipped with gas, temperature, and light sensors to detect abnormal conditions. If sensor values exceed thresholds, an alert is sent to authorities and a buzzer is activated. The system also includes a ground unit with a fire extinguisher that is activated if a fire is detected, helping prevent further damage. The hanging robot design aims to detect issues early and minimize industrial damage from disasters.
IOT Based Machine Health Monitoring SystemIRJET Journal
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1) The document describes a wireless mobile robot designed for military applications that uses sensors to interact with the physical world and navigate under the control of a base station.
2) The robot is designed to complete all tasks like detecting obstacles, border security, recording audio/video, and firing within critical time limits for safety.
3) The robot's functions are managed by the real-time operating system Salvo on an 8051 microcontroller to ensure tasks meet deadlines even when resources are fully utilized.
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This document reviews an IoT-based dual arm tele-robotic system for pick and place operations and online video streaming. It discusses designing a robot gripper for precision pick and place applications. An IoT-embedded control system would allow remote control of the robotic arms as well as video surveillance of remote areas. The system aims to develop a dual arm tele-robot for pick and place operations and online video streaming to identify and retrieve objects from a distance.
The document describes the design of an autonomous navigation robot that can avoid obstacles. An ATmega328P microcontroller is used to process signals from ultrasonic sensors and direct the robot's movement. When an obstacle is detected, the microcontroller determines the distance and redirects the robot by turning or reversing direction to avoid collisions. The robot's movement is controlled by the microcontroller sending signals to motors through a motor driver. The goal is for the robot to intelligently navigate unknown environments without needing remote control by detecting obstacles with sensors and maneuvering autonomously.
The document is a presentation on robot vision submitted by a group of students. It begins with an outline of the topics to be covered, which are an introduction to robot vision, the functions of robot vision, components of robot vision, and applications. It then discusses these topics in more detail over several slides, explaining what robot vision is, why vision systems are important for robots, the main functions of locating, measuring, verifying and identifying objects, the key components including lighting, lenses, image sensors, vision processing and communication, and some examples of applications like pick and place, inspection, welding, and space exploration.
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IRJET - Hand Gesture Controlled Smart Robots using Wireless Sensor NetworkIRJET Journal
The document describes a system for controlling robots wirelessly using hand gestures. An accelerometer is used to detect hand movements and transmits gesture data via wireless sensors to a receiver on the robot. The microcontroller on the robot interprets the data and controls motors to move the robot forward, backward, left or right based on the tilt of the hand. The system is intended to help physically challenged users control wheelchairs or other devices with simple gestures. It aims to provide a low-cost and efficient wireless human-robot interaction system using hand gestures detected by an accelerometer and wireless transmission of the control signals.
This document proposes an automatic license issuing system that uses sensors to monitor a driver's behavior during a driving test. The system aims to replace the current manual process of evaluating driving tests. Sensors like force sensors, piezo sensors, MEMS accelerometers, smoke sensors, and an LCD display are mounted on a test vehicle. The sensors collect data on the driver's control of the vehicle and emissions. This data is sent wirelessly via a ZigBee module to a remote server for analysis. The server compares the test data to reference data to evaluate the driver's performance and determine if a license should be issued. The goal is to objectively assess driving ability and prevent illegal or unsafe licenses from being issued.
The document describes an autonomous eye-controlled wheelchair system for paralyzed persons. The system uses a webcam to capture images of the user's eye movements. MATLAB software analyzes the eye images to detect iris movement and determine the direction the wheelchair should move. An ATmega328 microcontroller receives the movement commands via an RF modem and controls the wheelchair motors. Ultrasonic sensors are also used for obstacle detection to stop the wheelchair if needed. The system allows paralyzed users to move independently through eye control of the wheelchair's direction.
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The document presents a smart oil and gas monitoring system using IoT that incorporates sensors to detect gas leaks, temperature, and pressure. Data from the sensors is transmitted wirelessly via ZigBee to a receiver and displayed on an LCD. The system is intended to remotely monitor oil and gas pipelines to detect issues like leaks and prevent accidents.
This document describes a system for automatically measuring the bore diameter of ball bearings using an LVDT sensor interfaced with a PLC. The system consists of auto-feeding, measuring, classifying, and data analysis parts. A servo motor pushes the bearing against the LVDT sensor based on PLC programming to obtain measurements at two locations. The measurements are displayed on an HMI and used to classify bearings as acceptable or needing rework/discard based on diameter and taper values. Simulation results show the system can accurately measure standard bearings to within 0.5um in 5 seconds, classifying grades and analyzing quality statistics.
This document describes an autonomous landmine tracker system that uses various technologies like an Atmega 328p microcontroller, metal detector, GPS and GSM modules to locate and track landmines. The system autonomously navigates terrain using these sensors and provides precise coordinates of any discovered landmines in real-time for clearance operations. It functions using an Internet of Things approach where the components communicate wirelessly to process data and identify potential landmine locations based on magnetic field variations detected by the metal detector. The system aims to improve on manual landmine detection methods by automating the process and removing human risk factors.
IRJET- A Review on Accident Prevention Methods at Railway Line CrossingsIRJET Journal
This document reviews various accident prevention methods that have been proposed for railway line crossings. It summarizes several existing systems that use technologies like sensors, GPS, image processing and more to detect trains and automatically open and close gates. However, many of these systems have limitations in noisy or harsh environments. The document concludes that while previous methods focused on gate automation, there remains a need for a system that can reliably detect an approaching train and warn humans in noisy conditions, such as when wearing headphones, to help prevent accidents caused by people not noticing trains.
This document summarizes a research paper on a shortest path follower robot. It describes the design of a line following robot that can detect the shortest path using IR sensors to follow a black line on a white surface. The robot uses an Arduino microcontroller connected to IR sensors and motors to determine the optimal path between a starting point and destination. It aims to solve the single source shortest path problem by identifying obstacles and navigating efficiently. The system architecture includes IR sensors to detect the line, motors to move the robot, and an Arduino board to process sensor readings and control the motors to follow the shortest route.
IRJET - Controlling 4 DOF Robotic ARM with 3-Axis Accelerometer and Flex ...IRJET Journal
This document describes a study that uses an accelerometer and flex sensor to control a 4 degree of freedom robotic arm. The robotic arm is 3D printed and has a motherboard to control stepper motors in each joint. An ADXL345 acceleration sensor provides axis values from two gloves to control movement of the four joints. A flex sensor on one glove controls the gripper. The system aims to allow autonomous control of the robotic arm through human hand motions detected by the sensors. Key components of the robotic arm like the motherboard, stepper motors, and sensors are described in detail.
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
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2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
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This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.