scholarly journals VAGADRONE: Intelligent and Fully Automatic Drone Based on Raspberry Pi and Android

2021 ◽  
Vol 11 (7) ◽  
pp. 3153
Author(s):  
Saifeddine Benhadhria ◽  
Mohamed Mansouri ◽  
Ameni Benkhlifa ◽  
Imed Gharbi ◽  
Nadhem Jlili
Keyword(s):  
Remote Control ◽  
Autonomous Navigation ◽  
Object Identification ◽  
External Control ◽  
Raspberry Pi ◽  
Optimal Trajectories ◽  
Live Streaming ◽  
Wide Range ◽  
Fully Automatic ◽  
Direct Use

Multirotor drones are widely used currently in several areas of life. Their suitable size and the tasks that they can perform are their main advantages. However, to the best of our knowledge, they must be controlled via remote control to fly from one point to another, and they can only be used for a specific mission (tracking, searching, computing, and so on). In this paper, we intend to present an autonomous UAV based on Raspberry Pi and Android. Android offers a wide range of applications for direct use by the UAV depending on the context of the assigned mission. The applications cover a large number of areas such as object identification, facial recognition, and counting objects such as panels, people, and so on. In addition, the proposed UAV calculates optimal trajectories, provides autonomous navigation without external control, detects obstacles, and ensures live streaming during the mission. Experiments are carried out to test the above-mentioned criteria.

Nanoparticles Functionalized with Venom-Derived Peptides and Toxins for Pharmaceutical Applications

2020 ◽  
Vol 21 (2) ◽  
pp. 97-109 ◽  
Author(s):  
Ana P. dos Santos ◽  
Tamara G. de Araújo ◽  
Gandhi Rádis-Baptista
Keyword(s):  
Oral Absorption ◽  
Current Data ◽  
Pharmacological Activities ◽  
Venom Peptides ◽  
Essential Components ◽  
Wide Range ◽  
Different Types ◽  
Direct Use ◽  
Animal Venoms ◽  
Pharmaceutical Biotechnology

Venom-derived peptides display diverse biological and pharmacological activities, making them useful in drug discovery platforms and for a wide range of applications in medicine and pharmaceutical biotechnology. Due to their target specificities, venom peptides have the potential to be developed into biopharmaceuticals to treat various health conditions such as diabetes mellitus, hypertension, and chronic pain. Despite the high potential for drug development, several limitations preclude the direct use of peptides as therapeutics and hamper the process of converting venom peptides into pharmaceuticals. These limitations include, for instance, chemical instability, poor oral absorption, short halflife, and off-target cytotoxicity. One strategy to overcome these disadvantages relies on the formulation of bioactive peptides with nanocarriers. A range of biocompatible materials are now available that can serve as nanocarriers and can improve the bioavailability of therapeutic and venom-derived peptides for clinical and diagnostic application. Examples of isolated venom peptides and crude animal venoms that have been encapsulated and formulated with different types of nanomaterials with promising results are increasingly reported. Based on the current data, a wealth of information can be collected regarding the utilization of nanocarriers to encapsulate venom peptides and render them bioavailable for pharmaceutical use. Overall, nanomaterials arise as essential components in the preparation of biopharmaceuticals that are based on biological and pharmacological active venom-derived peptides.

scholarly journals Fundamental limits of electron and nuclear spin qubit lifetimes in an isolated self-assembled quantum dot

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
George Gillard ◽  
Ian M. Griffiths ◽  
Gautham Ragunathan ◽  
Ata Ulhaq ◽  
Callum McEwan ◽  
...  
Keyword(s):  
Quantum Dot ◽  
Spin Relaxation ◽  
Nuclear Spin ◽  
Operating Conditions ◽  
External Control ◽  
Spin Qubits ◽  
Fundamental Limits ◽  
Trade Offs ◽  
Wide Range ◽  
Spin Qubit

AbstractCombining external control with long spin lifetime and coherence is a key challenge for solid state spin qubits. Tunnel coupling with electron Fermi reservoir provides robust charge state control in semiconductor quantum dots, but results in undesired relaxation of electron and nuclear spins through mechanisms that lack complete understanding. Here, we unravel the contributions of tunnelling-assisted and phonon-assisted spin relaxation mechanisms by systematically adjusting the tunnelling coupling in a wide range, including the limit of an isolated quantum dot. These experiments reveal fundamental limits and trade-offs of quantum dot spin dynamics: while reduced tunnelling can be used to achieve electron spin qubit lifetimes exceeding 1 s, the optical spin initialisation fidelity is reduced below 80%, limited by Auger recombination. Comprehensive understanding of electron-nuclear spin relaxation attained here provides a roadmap for design of the optimal operating conditions in quantum dot spin qubits.

Query Processing of RFID Data with Object Trajectory in Manufacture and Logistics

2009 ◽  
Vol 16-19 ◽  
pp. 1043-1047
Author(s):  
Sun Wei ◽  
Li Hua Dong ◽  
Yao Hua Dong
Keyword(s):  
Pervasive Computing ◽  
Radio Frequency Identification ◽  
Object Identification ◽  
Data Set ◽  
Wide Range ◽  
Storage Scheme ◽  
Rfid Data ◽  
Frequency Identification ◽  
Application Data ◽  
Path Queries

In the domain of manufacture and logistics, Radio Frequency Identification (RFID) holds the promise of real-time identifying, locating, tracking and monitoring physical objects without line of sight due to an enhanced efficiency, accuracy, and preciseness of object identification, and can be used for a wide range of pervasive computing applications. To achieve these goals, RFID data has to be collected, filtered, and transformed into semantic application data. However, the amount of RFID data is huge. Therefore, it requires much time to extract valuable information from RFID data for object tracing. This paper specifically explores options for modeling and utilizing RFID data set by XML-encoding for tracking queries and path oriented queries. We then propose a method which translates the queries to SQL queries. Based on the XML-encoding scheme, we devise a storage scheme to process tracking queries and path oriented queries efficiently. Finally, we realize the method by programming in a software system for manufacture and logistics laboratory. The system shows that our approach can process the tracing or path queries efficiently.

scholarly journals The Model and Training Algorithm of Compact Drone Autonomous Visual Navigation System

Data ◽  
2018 ◽  
Vol 4 (1) ◽  
pp. 4 ◽  
Author(s):  
Viacheslav Moskalenko ◽  
Alona Moskalenko ◽  
Artem Korobov ◽  
Viktor Semashko
Keyword(s):  
Autonomous Navigation ◽  
Search Algorithm ◽  
Visual Navigation ◽  
Frame Rate ◽  
Raspberry Pi ◽  
Navigation Systems ◽  
Training Algorithms ◽  
Translation Error ◽  
Deep Model ◽  
And Training

Trainable visual navigation systems based on deep learning demonstrate potential for robustness of onboard camera parameters and challenging environment. However, a deep model requires substantial computational resources and large labelled training sets for successful training. Implementation of the autonomous navigation and training-based fast adaptation to the new environment for a compact drone is a complicated task. The article describes an original model and training algorithms adapted to the limited volume of labelled training set and constrained computational resource. This model consists of a convolutional neural network for visual feature extraction, extreme-learning machine for estimating the position displacement and boosted information-extreme classifier for obstacle prediction. To perform unsupervised training of the convolution filters with a growing sparse-coding neural gas algorithm, supervised learning algorithms to construct the decision rules with simulated annealing search algorithm used for finetuning are proposed. The use of complex criterion for parameter optimization of the feature extractor model is considered. The resulting approach performs better trajectory reconstruction than the well-known ORB-SLAM. In particular, for sequence 7 from the KITTI dataset, the translation error is reduced by nearly 65.6% under the frame rate 10 frame per second. Besides, testing on the independent TUM sequence shot outdoors produces a translation error not exceeding 6% and a rotation error not exceeding 3.68 degrees per 100 m. Testing was carried out on the Raspberry Pi 3+ single-board computer.

scholarly journals IoT-based Pet Feeding Robot Design and Development

2021 ◽  
Vol 9 (VI) ◽  
pp. 3637-3644
Author(s):  
P. Ajay
Keyword(s):  
Body Weight ◽  
Remote Control ◽  
Internet Of Things ◽  
Raspberry Pi ◽  
Robot Design ◽  
Design And Development ◽  
Pet Owners ◽  
At Home

Pets in the home need particular attention and care. They must be provided with food, beverages, and medicine as soon as possible. Due of most owners' hectic lifestyles, this job may not be as easy as anticipated. Inadequate attention to the requirements of pets may have serious consequences such as hunger and illness, among other things. In light of the above, this paper presents an Internet of Things-based automated feeder system that use the Raspberry Pi for remote control, scheduling, and intelligence. Its design and subsequent execution are anticipated to at least take care of the nutritional aspects of pets by delivering food, beverages, and medicine to pets on a schedule or as needed in the absence of the owner. As a result, the goal of this study is to automate the monitoring and feeding procedure, which is now done manually by pet owners. The four-wheeled system allows it to effortlessly climb stairs. Because of its body weight, the mechanism generates traction. The robot has applications such as remote feeding of every kind of animal from afar, remote exploration of the house to deceive thieves into believing someone is at home. It also lets you customise daily meals, keep your pet secure while you are away from home, store up to 7 pound, keep food fresh, and monitor your pet's nutrition. The robot may also prevent a person from eating a particular meal while allowing other animals to access the food. All these features attract owners of more than one animal to the robot.

scholarly journals RANCANG BANGUN SISTEM KENDALI PADA ROBOT TEMPUR CIA VERSI N2MR3 MENGGUNAKAN REMOTE CONTROL BERBASIS RASPBERRY PI 4.0

2021 ◽  
Vol 2 (Mei) ◽  
pp. 15-25
Author(s):  
Resi Vega Dwi Setiabudi ◽  
Desyderius Minggu ◽  
Vincentius Arga Yoda Yoda
Keyword(s):  
Control System ◽  
Remote Control ◽  
Internet Of Things ◽  
Ground Control ◽  
Raspberry Pi

Pada era perkembangan teknologi di masa depan, teknologi sangat berkembang pesat khususnya pada bidang robotika dan persenjataan alutsista.  Robot mempunyai peran penting pada era masa kini karena sangat membantu segala aktivitas yang dilakukan oleh manusia. Umumnya robot bergerak dengan dikendalikan remote control yang jaraknya terjangkau, dan sekarang ini dengan adanya kendali menggunakan Internet of Things (IoT) robot dapat dikendalikan melalui jarak jauh asalkan terjangkau oleh jaringan internet pada daerah tersebut. Penelitian ini menggunakan metode mixing yang terdiri dari kualitatif dan kuantitatif. Pada penelitian ini, robot tempur CIA versi N2MR3 dibuat sedemikian rupa sehingga dapat bergerak ke segala arah. Robot tempur CIA versi N2MR3 dilengkapi dengan kamera sebagai mata pada robot tempur tersebut, serta dilengkapi dengan senjata yang dapat dikendalikan oleh operator untuk membantu tugas prajurit TNI dalam melaksanakan pengintaian maupun penyerangan. Robot tempur CIA versi N2MR3 dilengkapi juga dengan fungsi OMSP (Operasi Militer Selain Perang) yaitu penyemprot disinfektan dan mesin pemotong rumput dan pergerakan robot tempur dapat di monitor menggunakan GCS (Ground Control System) yang saling terkoneksi, kemudian data-data pengontrolan tersebut dikirimkan ke raspberry pi melalui komunikasi serial.

scholarly journals Safety Assistance Visual Surveillance Robot

2020 ◽  
Vol 9 (5) ◽  
pp. 752-756
Keyword(s):  
High Risk ◽  
Object Detection ◽  
Radar System ◽  
Visual Surveillance ◽  
Human Interaction ◽  
Raspberry Pi ◽  
Live Streaming ◽  
Human Beings ◽  
Toxic Environment ◽  
Echo Time

There is a need for safety assistance visual surveillance that can be effectively used to navigate hazardous places which cannot be accessed by human beings. Several high-risk conditions like radioactive zone, toxic environment and accident-prone areas are usually approached/tackled by humans with little to no information about their conditions. Hence our aim is to reduce any human interaction with these unsafe circumstances by proposing a visual surveillance robot that is capable of moving in any terrain and can relay live information to the controller situated at a remote location. In this paper we address the implementation of Visual Surveillance bot by using a Camera that rotates at 360 degree with the help of DC motor, which illustrate the surrounding so as to provide the estimation of danger if any. We present the execution by efficiently live streaming information with the help of Raspberry pi and by using the MATLAB software to create a RADAR plot by analyzing the object detected by Ultrasonic sensor. The usage of MATLAB not only simplifies the analysis but also helps in creating an enhanced RADAR system by using an ARDUINO to support the ultrasonic system in recording the echo time and object detection angle.

scholarly journals Reconstruction of a Grinding Machine Intended for Thermo-Polymers, and Design of a Linux Based Iot Control System

2020 ◽  
Vol 13 (1) ◽  
pp. 45-49
Author(s):  
Attila Debreceni ◽  
Timotei István Erdei ◽  
Szabolcs Tóth ◽  
Géza Husi
Keyword(s):  
Control System ◽  
Remote Control ◽  
Related Problem ◽  
Industry 4.0 ◽  
Raspberry Pi ◽  
Support Material ◽  
Type B ◽  
Polymer Waste ◽  
Grinding Machine ◽  
The University

AbstractWith the increasing use of 3D printing technology, a closely related problem is that of spreading. This problem is the presence of the polymer waste created by faulty prints, and support material used during printing. To create filament from this waste, it must first be chopped into fine pieces. In this project, an original polymer grinder was designed and built, adopting the innovations of Industry 4.0. Remote control and supervision were achieved using a Raspberry Pi I. type B and an Arduino Nano. The finished project can be seen in the faculty of engineering at the University of Debrecen.

scholarly journals INTERNET OF THINGS (IOT) BASED ADVANCED ONLINE EXAMINATION USING RASPBERRY PI

2018 ◽  
Vol 6 (5) ◽  
pp. 30-36
Author(s):  
Kunal.S. Pawar ◽  
Pravin.C. Latane
Keyword(s):  
Internet Of Things ◽  
Research Trends ◽  
Raspberry Pi ◽  
Iot Applications ◽  
System A ◽  
Implementation Techniques ◽  
Wide Range ◽  
Online Examination ◽  
Exam System ◽  
Key Enabling Technologies

With the development in the education system, considering the latest current online exam system, a new projection of online exam system based on Raspberry pi IOT is proposed, and the key implementation techniques and methods are also described. The growing ubiquity of wireless, RFID mobile and sensor devices has provide a promising opportunity to build the powerful examination systems and applications by Internet of Things (IoT). A wide range of IoT applications have been developed in recent years. In an effort to understand the development of IoT in online examination, here we propose the current research of IoT, IOT key enabling technologies, major IoT applications in online examination and identifies research trends and challenges. Here we initially all the examine details are stored in the server. Then By applying face recognition (in Open CV based) technique, you can start the online examination. Due to sometime unwanted person also enter to wright the exam, so this is the best way to identified any culprits are found or not.

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