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检索条件"任意字段=Conference on Advanced Sensor and Control-System Interface"

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Non-homogeneous Multi-robot Collaboration for Environment Mapping and Inference 4

Non-homogeneous Multi-robot Collaboration for Environment Ma...

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4th International conference on Robotics, control and Automation Engineering (RCAE) / 4th International conference on advanced Mechanical and Electrical Engineering (AMEE)

作者： Hensley, Crockett Patel, Parth Koduru, Charles Tanveer, M. Hassan Kennesaw State Univ Dept Robot & Mechatron Engn Marietta GA 30060 USA

ISBN: (纸本)9781665427302

Multi-robot collaboration is the subject of a great deal of research currently. This interest within the field of robotics is prominent because multiple robots can often complete complex tasks faster and more efficiently than a single robot. The majority of the research being done today is related to homogeneous robotic communities, wherein each robot has the same equipment and limitations. The scenario becomes more challenging by introducing non-homogenous teams of robots. In this paper, we explore a non-homogeneous robotic community where one robot (acting as master) is designated to map an area while a different robot (acting as slave) infers from that map. Such a system is demonstrated to be reliable within a small and primarily static environment using two mobile robots equipped with RGB-D cameras and planar LiDAR sensors. This type of role assignment allows for more specialized equipment for both robots as well as greater optimization of the robots' tasks.

关键词： Multi Robot systems RGB-D cameras Lidar sensor

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Quantum-Powered Autonomous Deep-Sea Explorer Using AI, Microbiofuels, and advanced sensors for Oceanic Discovery

Quantum-Powered Autonomous Deep-Sea Explorer Using AI, Micro...

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International conference on Computer, Electrical & Communication Engineering (ICCECE)

作者： Sandeep Chouhan Ramandeep Sandhu Om Prakash Yadav Sarder M. N. Islam School of Computer Science and Engineering Lovely Professional University Phagwara Punjab India (Naz)² Department of Applied Information Victoria University Melbourne Australia

ISBN: (数字)9798331513894

ISBN: (纸本)9798331513900

The ocean’s depths are among the most enigmatic regions on Earth, with geographical features, temperatures, and marine life remaining widely unexplored. The traditional forms of exploration confront water pressure, cold-temperature conditions, and a lack of energy resources. This research suggests a novel apparatus, that integrates quantum technology, artificial intelligence (AI), and cutting-edge sensors to address these issues and enhance ocean floor mapping, gas detection and element *** energy apparatus of the device is central to ensuring its functionality for a prolonged period. It employs thermoelectric generators exploiting the temperature difference between the cold waters located at depth and warmer surface layers and the microbial fuel cells (MFCs) that convert organic materials in ocean sediments into electricity. This hybrid energy combined cycle, therefore sustainable operation without external power *** sensors such as quantum-enhanced spectroscopy and mass spectrometers will be used for the detection and analysis of gases, trace elements and organic compounds. The balanced engineering systems integrated into the automated equipment will be used with the power distribution control and information processing in the real-time mode performed by the quantum neural networks (QNN). The system’s adaptability, and accuracy and that system may function unattended for fairly long periods, this system presents an unprecedented device that should change the course of deep-sea studies as it will provide access to previously unreachable areas.

关键词： Temperature sensors Neural networks Fuel cells sensor systems Real-time systems sensors Surface topography Artificial intelligence Ocean temperature Water resources

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Botanika: An IoT-Enabled Solar Powered Soil Profiling sensor Probe for Rooftop Gardening

Botanika: An IoT-Enabled Solar Powered Soil Profiling Sensor...

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International conference on Advancement in Electrical and Electronic Engineering (ICAEEE)

作者： Anjuman Naher Jui Nabonita Dey Kazy Noor-E-Alam Siddiquee Sarowar Morshed Shawon Department of Computer Science and Engineering(CSE) University of science and technology Chittagong Chattogram Bangladesh Department of Computer Science and Engineering(CSE) State University of Bangladesh Dhaka Bangladesh Department of Electrical and Electronic Engineering (EEE) University of Science and Technology Chittagong Chattogram Bangladesh

ISBN: (数字)9798350388282

ISBN: (纸本)9798350388299

Agricultural production contributes significantly to the country’s economy. Bangladesh is an agriculturally dominant country and 70% of people depend on agriculture for their livelihood. But nowadays, urban people are far away from agriculture due to lack of space and time. Soil moisture content in land and rooftop gardens is influenced by natural factors like rainfall and groundwater, but rooftop gardens often rely on manual watering due to limited access to natural water sources, and their water filtration processes vary based on soil types, textures, and pores. “Botanika” such an IoT enabled remote sensing system which presents a comprehensive solution for monitoring soil parameters in rooftop gardens. Internet of Things (IoT) is an advanced technology for monitoring and controlling device anywhere in the world. Through in-situ calibration by an in-house soil profiling probe, it ensures accurate and reliable data collection, optimal plant growth. The accompanying android app enables users to effortlessly monitor soil moisture levels remotely. By integrating sensors and advanced technology, it offers real-time insights into crucial factors such as soil moisture, soil temperature, temperature, humidity, and rainfall. This innovative solution enhances crop health and productivity in urban agriculture. With its user- friendly interface, Botanika empowers gardeners to efficiently manage their rooftop gardens with precision. Embracing sustainability, this IoT-enabled soil profiling probe promotes green spaces utilization and food production on rooftops, contributing to a more resilient and eco-friendly urban environment.

关键词： Temperature sensors Temperature Rain Soil moisture Real-time systems sensors Probes

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A High-Precision Implantable Neuromodulation Device for Closed-Loop Deep Brain Stimulation

A High-Precision Implantable Neuromodulation Device for Clos...

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IEEE Biomedical Circuits and systems (BIOCAS)

作者： Kangyu Su Zhang Qiu Kedi Xu Yueming Wang Jian Xu College of Information Science & Electronic Engineering Zhejiang University Hangzhou China MOE Frontier Science Center for Brain Science and Brain-machine Integration Zhejiang University Hangzhou China Qiushi Academy for Advanced Studies Zhejiang University Hangzhou China Nanhu Brain-computer Interface Institute Hangzhou China

ISBN: (数字)9798350354959

ISBN: (纸本)9798350354966

Closed-loop deep brain stimulation, a critical technology in brain-machine interfaces, offers a promising treatment for neurological disorders. This paper presents a high-precision closed-loop deep brain stimulation device that allows simultaneous stimulation and recording on the same or adjacent electrode sites. To achieve high-precision closed-loop control, this work utilizes a custom neuromodulation integrated circuit incorporating Redundant-Crossfire stimulator and Frequency Shaping & Quick Blanking based front-end interface. Measurement results show that the stimulation precision reaches 9.3 bits with an 8 channel configuration (13.1 bits for a 4 -channel configuration). When recording LFPs in the range of $1-100 \mathrm{~Hz}$, the total input reference noise of the system is $3.98 \mu \mathrm{~V}$. In addition, long-term animal experiments conducted in pigs demonstrate that the system effectively suppresses external interference and artifacts, providing an effective solution for extended DBS applications.

关键词： Electrodes Animals Noise Deep brain stimulation Surgery Biomedical measurement Brain-computer interfaces Recording Reliability Neuromodulation

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Design & Implementation of Brain controlled interface For Healthcare Applications

Design & Implementation of Brain Controlled Interface For He...

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IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)

作者： Nandan Prabhu Shripada B Athmik Shetty Dashvanth Gowda Chandra Singh Prameela N S Electronics & Communication Engineering Department Sahaydri College of Engineering & Management Adyar Mangalore India

BCIs have gained significant attention as a means of communication and control for individuals with disabilities or neurological disorders. However, existing BCIs often suffer from limitations such as low accuracy, complexity, and limited functionality, hindering their widespread adoption in healthcare settings. This paper aims to address these limitations by developing a BCI system that incorporates advanced signal processing techniques, machine learning algorithms, and intuitive user interfaces.A functional prototype of the BCI system is developed, integrating appropriate hardware components and software algorithms. Extensive testing and validation are conducted to assess accuracy, reliability, safety, and adaptability, with user feedback gathered through surveys and usability studies to improve user satisfaction.

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An Ultra-Sensitive Hydrogel Tactile sensor With Micro-cone Structures For Human-Machine interface

An Ultra-Sensitive Hydrogel Tactile Sensor With Micro-cone S...

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International conference on Solid State sensors and Actuators (TRANSDUCERS)

作者： Aocheng Bao Jiahao Yu Jiyuan Zhang Jin Wu Bowen Ji Honglong Chang Weizheng Yuan Kai Tao Northwestern Polytechnical University China Sun Yat-sen University China

The rapid development of wearable electronic devices and human-machine interfaces poses significant challenges to the development of flexible and deformable tactile sensors that are efficient, ultra-sensitive, environmentally resistant, and self-sustainable. This paper reports an ultra-sensitive micro cone-patterned hydrogel tactile sensor (MCHS) based on triboelectric nanogenerator (TENG) for human motion monitoring and human-machine interfaces (HMI). Based on the coupling of triboelectric effect and electrostatic induction, this sensor can detect slight variation of pressure without external power supply. Hydrogel electrode with conical microstructure array was obtained by Micro-Electro-Mechanical-system (MEMS)-enabled process and chemical synthesis. Due to the existence of highly deformable micro-cones, the MCHS maintains excellent sensitivity, compared with the flat hydrogel electrode in a widened detection range (20 Pa-5000 Pa). Moreover, after proper treatment, the proposed hydrogel shows remarkable long-term anti-freezing and anti-dehydrating performances. In addition, with the assistance of signal processing circuit, this excellent self-powered sensor supports real-time gesture recognition and convenient unmanned aerial vehicle (UAV) control, demonstrating its great potential in wearable electronics and interactive human-machine interfaces.

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Real Time Autonomous Vehicle Simulation Model for Lane, Obstacle Detection, Zebra Crossing and Traffic Assistance

Real Time Autonomous Vehicle Simulation Model for Lane, Obst...

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conference on Modeling of systems Circuits and Devices (MOS-AK India)

作者： Shoaib Kamal Spoorthi N Swathi C Thejashwini KN Venkata Pavithra S Department of ECE MVJ College of Engineering Bangalore India

ISBN: (数字)9798350395556

ISBN: (纸本)9798350395563

Self driving cars commonly known as Autonomous cars. ADAS which stands for advanced driver assistance system is the most prevailing technologies which uses sensors in the car like radar and cameras to perceive the world around it. Autonomous cars mainly rely on the sensors, processors and software technologies in order to develop the model. In this paper we developed an autonomous car prototype which is capable of driving to maintain lanes, detect objects and recognize zebra crossing and traffic signals. The prototype primarily contains Raspberry pi, USB camera, ultrasonic sensor and driver module. The objectives are achieved by using computer vision techniques, openCV and image processing techniques. The algorithms used in this paper involve feature classification using contour detection, threshold optimization, sobel algorithms, color detection, gaussian filter and edge detection programmed in Python. The proposed system is cheap and can aid future scope for self-driving cars.

关键词： Program processors Image color analysis Computational modeling Prototypes Motors Acoustics sensor systems

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IoT Based Plant Watering system

IoT Based Plant Watering System

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Advances in Computing, Communication and Applied Informatics (ACCAI), International conference on

作者： A Suhana Nafais K Mir Maaz Hussain S Dhanush Kumar J Tamil Mani Department of Computer Applications Sona college of technology Salem India

ISBN: (数字)9798350389449

ISBN: (纸本)9798350389456

In urban areas, water scarcity is amplified by the extensive 25-30% use of water resources for gardening, straining municipal supplies. This paper introduces an IoT- based Plant Watering system tailored for rooftop plantations, addressing the challenge of urban space constraints. Leveraging advanced IoT technology with sensors, actuators, and a central control unit, the system monitors and manages rooftop plant watering in real time. Precise irrigation, guided by real-time soil moisture data, is pivotal. The system’ s architecture, detailed herein, strategically positions sensors for optimized rooftop gardening. Key hardware components like soil moisture sensors, microcontrollers, and water pumps, paired with C++ scripted software, ensure seamless functionality. Implementing IoT-based watering systems demonstrates substantial water conservation, with studies indicating a 3050% reduction compared to conventional methods. Cities adopting smart green solutions witness notable increases in urban green cover. IoT-driven plant care systems have led to 20-30% growth in green spaces within urban landscapes. Embracing IoT capabilities, this system automates rooftop plant watering, optimizing water use and fostering healthy growth. Preliminary trials showcased a remarkable 30% water consumption reduction compared to traditional methods, emphasizing its efficiency and sustainability in conserving urban water resources. Anticipated implementations could enhance urban green cover by 25%, significantly contributing to environmentally conscious urban ecosystems.

关键词： Irrigation Green products Soil moisture Urban areas Water conservation Real-time systems sensor systems

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Remote fiber optic sensor for monitoring the radiological situation 6

Remote fiber optic sensor for monitoring the radiological si...

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6th Interdisciplinary Scientific Forum with International Participation on New Materials and advanced Technologies, NMAT 2020

作者： Dmitrieva, D.S. Pilipova, V.M. Diuldin, M.V. Bonch-Bruevich Saint Petersburg State University of Telecommunications Saint Petersburg Russia Peter the Great Saint Petersburg Polytechnic University Saint Petersburg195251 Russia All Russian Research Institute of Phytopathology Moscow Region 143050 Russia

The necessity of remote monitoring the radiological situation in the different areas of nuclear power plants, adjacent territories, etc. is sustained. One of the most important conditions for this control is the duration of the system work (for ten or more years) without human intervention (only in a special case). It is noted that a feature of this environmental monitoring for the presence of radiation is the ability to transmit information over long distance in real time without distortion. And constant receipt of information about the value of the exposure dose in the sensor area is also important. In a case of using the system of a large number of sensors, there are no problems information processing, because it is contained in the optical signal. The design of the fiber optic communication line with using the fiber optic sensor is proposed. The measurement limits of the exposure dose of radiation are marked. The results of experimental researches of various fibers for using in these sensors are presented. The method of radiation control with their use is determined. © Published under licence by IOP Publishing Ltd.

关键词： Fiber optic sensors

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Implementation of Dynamic Spectrum Access Techniques in Cognitive Radio Networks under Generalized Fading Conditions

Implementation of Dynamic Spectrum Access Techniques in Cogn...

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advanced Computing & Communication Technologies (ICACCTech), International conference on

作者： Deepak Upadhyay Kunj Bihari Sharma Mridul Gupta Shobhit Garg Amulya Sharma Divyansh Devgan Dept. of Computer Science and Engineering Graphic Era Hill University Dehradun India Dept. of Computer Science and Engineering Graphic Era deemed to be University Dehradun India Dept. of Electronics and Communication Engineering Graphic Era deemed to be University Dehradun India Dept. of Management Studies Graphic Era Deemed to be University Dehradun India Dept. of Computer Science and Engineering Graphic Era Deemed to be University Dehradun India

ISBN: (数字)9798331519056

ISBN: (纸本)9798331519063

This paper is organized as follows: Section II provides a background on our research work based on DSA in CRNs using CR under different fading conditions. c) Performance: We also study how effective adaptive algorithms along with the machine learning can prove in achieving higher spectrum sensing accuracy and decision making on run time. By conducting simulations and extensive performance evaluation, we show that the traditional solutions fall short when compared to our AI-based methodology in terms of accuracy especially under harsh fading conditions. Finally, sensitivity analysis highlights the control parameters that need to be submitted to further optimization for better system performance. With all above analysis, our results indicate that DSA can alleviate spectrum underutilization problem and enhance communication reliability in CRNs. Thus, with proper adaptation strategies and machine learning algorithms, the DSA systems provide an appealing opportunity to meet the continuously increasing requirements of bandwidth-consuming applications in current days wireless networks. The results of this research are helpful in providing effective value input to Advances in the understanding and design of robust, efficient spectrum management approaches for dynamic and diverse wireless settings.

关键词： Fading channels Wireless sensor networks Accuracy Sensitivity analysis system performance Wireless networks Machine learning sensors Reliability Optimization

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