Implementation Of Interface Research Articles

CONTROL OF A DRONE WITH BODY GESTURES

AbstractDrones are becoming more popular within military applications and civil aviation by hobbyists and business. Achieving a natural Human-Drone Interaction (HDI) would enable unskilled drone pilots to take part in the flying of these devices and more generally easy the use of drones. The research within this paper focuses on the design and development of a Natural User Interface (NUI) allowing a user to pilot a drone with body gestures. A Microsoft Kinect was used to capture the user’s body information which was processed by a motion recognition algorithm and converted into commands for the drone. The implementation of a Graphical User Interface (GUI) gives feedback to the user. Visual feedback from the drone’s onboard camera is provided on a screen and an interactive menu controlled by body gestures and allowing the choice of functionalities such as photo and video capture or take-off and landing has been implemented. This research resulted in an efficient and functional system, more instinctive, natural, immersive and fun than piloting using a physical controller, including innovative aspects such as the implementation of additional functionalities to the drone's piloting and control of the flight speed.

IoT Based Greenhouse Monitoring System Using Raspberry Pi

Whilst computerized greenhouse systems are common in commercial crop production, there are few equivalent, but less expensive, systems available for home greenhouses. As a result, the scope of this study is to build and make a smart greenhouse system that monitors and regulate domestic greenhouses both locally and remotely. This thesis concentrated on the design and implementation of a smart greenhouse system's user interface and networking paradigm. This concept presents a conceptual framework for transforming a traditional greenhouse into a smart greenhouse. The goal is for customers to be able to control and manage critical crop aspects depending on their own needs. A user-friendly Thingspeak service where real data is synced from the greenhouse to the cloud and a responsive greenhouse system are the end results.

Operator’s workplace virtualization and approaches assessment of its graphic implementation

The authors discuss objectives of creation of a virtual operator’s workplace. These objectives are connected with implementation of 3D virtual interface within the framework of hardware/software currently available on the market, and with general workplace ergonomics. A brief description for different approaches to the design and organization of a virtual workspace is given. The task to develop a test virtual “control panel” to study parameters of the virtual cockpit elements is described.

Exploring parallel MPI fault tolerance mechanisms for phylogenetic inference with RAxML-NG.

MotivationPhylogenetic trees are now routinely inferred on large scale high performance computing systems with thousands of cores as the parallel scalability of phylogenetic inference tools has improved over the past years to cope with the molecular data avalanche. Thus, the parallel fault tolerance of phylogenetic inference tools has become a relevant challenge. To this end, we explore parallel fault tolerance mechanisms and algorithms, the software modifications required and the performance penalties induced via enabling parallel fault tolerance by example of RAxML-NG, the successor of the widely used RAxML tool for maximum likelihood-based phylogenetic tree inference.ResultsWe find that the slowdown induced by the necessary additional recovery mechanisms in RAxML-NG is on average 1.00 ± 0.04. The overall slowdown by using these recovery mechanisms in conjunction with a fault-tolerant Message Passing Interface implementation amounts to on average 1.7 ± 0.6 for large empirical datasets. Via failure simulations, we show that RAxML-NG can successfully recover from multiple simultaneous failures, subsequent failures, failures during recovery and failures during checkpointing. Recoveries are automatic and transparent to the user.Availability and implementationThe modified fault-tolerant RAxML-NG code is available under GNU GPL at https://github.com/lukashuebner/ft-raxml-ng.Supplementary information Supplementary data are available at Bioinformatics online.

Interface Model and Implementation Framework for Classroom Response Systems

Lectures can be enriched by engaging students with active learning components. Classroom response systems (CRSs), which run on the mobile electronic devices of students, make the “clicker” principle more accessible, facilitate active engagement of students in the lecture hall, and are well-suited to promote formative assessment. Opposite to direct verbal interaction, lecturers can receive and evaluate replies from more students and take those into account for their teaching. On the basis of recent insights of the author’s engagement and experience with CRSs in an analytical chemistry lecture, this paper presents how CRSs can be used in lectures to receive rapid feedback from students and provide incentives to students to check and practice their skills. Furthermore, a guiding framework is introduced for alignment of aims with CRS usage with a set of guiding questions. The approach is exemplified with questions from the analytical chemistry lecture.

Towards Enabling Blind People to Fill Out Paper Forms with a Wearable Smartphone Assistant.

We present PaperPal, a wearable smartphone assistant which blind people can use to fill out paper forms independently. Unique features of PaperPal include: a novel 3D-printed attachment that transforms a conventional smartphone into a wearable device with adjustable camera angle; capability to work on both flat stationary tables and portable clipboards; real-time video tracking of pen and paper which is coupled to an interface that generates real-time audio read outs of the form's text content and instructions to guide the user to the form fields; and support for filling out these fields without signature guides. The paper primarily focuses on an essential aspect of PaperPal, namely an accessible design of the wearable elements of PaperPal and the design, implementation and evaluation of a novel user interface for the filling of paper forms by blind people. PaperPal distinguishes itself from a recent work on smartphone-based assistant for blind people for filling paper forms that requires the smartphone and the paper to be placed on a stationary desk, needs the signature guide for form filling, and has no audio read outs of the form's text content. PaperPal, whose design was informed by a separate wizard-of-oz study with blind participants, was evaluated with 8 blind users. Results indicate that they can fill out form fields at the correct locations with an accuracy reaching 96.7%.

Regulations and Standards Aware Framework for Recording of mHealth App Vulnerabilities

The authors describe a standards-based security framework for the purposes of recording security and privacy vulnerabilities discovered in mHealth apps. The proposed framework is compliant with the international standard for software architecture descriptions, ISO/IEC/IEEE 42010, relevant state-agency regulations, and US federal healthcare mandates, as well as computing standards for data interchange formats. Future real-life implementations are envisioned to consists of three key components: (1) design and implementation of a repository that links vulnerabilities to concepts from the taxonomy used by legislative and standardization bodies; (2) population of the repository with security vulnerability descriptions that follow a standard format, such as JavaScript Object Notation (JSON); and (3) implementation of a searchable user interface (e.g., Google's Firebase UI), which allows for aggregation statistics, data analytics, as well as public access to the repository. The proposed framework design promotes timely updates of regulations, standardization drafts, and app development platforms.

Preview the Products on Display at Display Week 2021

Preview the Products on Display at Display Week 2021

Vehicle Speed Control and Accident Prevention System in Smog Zone

The air quality index (AQI) is a proportion of what air contamination means for one’s wellbeing inside a brief timeframe. The higher the AQI esteem, the more noteworthy the degree of air contamination. In a smog zone, the air pollutants can be detected with an air quality detector that will provide information about invisible toxic pollutant matters present in the air. This paper is concentrated on vehicle collision avoidance in smog places. For instance in the road, the driver suffers from unclear vision because PM (Particulate Matter) enters his/her eyes which leads to vehicle collision. A vehicle collision avoidance system with a microcontroller and onboard sensors in the smog zone is developed. It mainly focuses on the digital driver-vehicle interface implementation by using CAN protocol. The framework of CAN lessens wiring by and large. In this system, information like humidity, temperature, and distance is obtained. The humidity module measures both the temperature and humidity content and an the ultrasonic sensor is adjusted to gauge the distance between the object and vehicle, if a hindrance is identified inside 300cm from the vehicle, the alarm gives a signal to the driver. Once an individual vehicle enters the smog zone, it lowers the speed.

OCR Service Platform Based on OpenCV

This paper builded an ocr service platform based on opencv. Cut images of license plates and characters were generated by analyzing and processing the images based on the opencv algorithm and utilizing the image big data accumulated in the production of application software in the automobile industry. Label these cut images as training data and input SVM, ANN and other trainers to train the model to recognize the characters in the new license plate image. In addition to license plate recognition, vin code recognition, driver’s license number recognition and other ocr functions can also be developed in a similar way. The platform is developed based on java language and springboot framework in order to be technically unified with other automotive industry application software. It needs to use java to call opencv c++ interface implementation, and the platform provides rest interface externally.

Android-Based Agriculture And Livestock (Maritani) Marketplace Application

The Maritani application is an android-based agricultural and livestock marketplace application specifically designed to bring together sellers and buyers on one digitalized platform. The maritime marketplace application aims to facilitate sellers and buyers in buying and selling agricultural and livestock needs as well as food needs online. In its business process, the maritime marketplace application uses the B2C (Business to Customer) business model. Where business activities are carried out by producers to consumers using electronic media directly. The development of the Android-based Maritani marketplace is built with the Flutter framework and uses the Dart programming language. At the time of making the Maritani marketplace application for system development using the waterfall method, the development was started with an analysis of system requirements, then carried out the application display design (Graphic User Interface) implementation stage of the application implementation with the Dart programming language. The result of this research is a market application that can have a positive impact on users, both sellers and buyers. In the Maritani application which has a greater opportunity from the community to share knowledge with other sellers, sellers do not need to be afraid of losing consumers, features and regulations of the online market which greatly affect to increase the credibility and safety of the seller's shop, sellers are not required to have large capital.

Web-based visualization of long-term ocean acoustic observations and modelled soundscapes

The Atlantic Deepwater Ecosystem Observatory Network (ADEON) is an array of hydrophones deployed along the U.S. Mid- and South Atlantic Outer Continental Shelf, that has been collecting long-term measurements of natural and human sounds in the region since 2017. This presentation focuses on the design and implementation of a web-based geospatial visualization interface that allows anyone to easily explore the massive datasets being generated in order to gain insight about the ecology and soundscape of the region. Visitors to the public website can use an interactive map of the ADEON project region to see the locations of the hydrophone deployments, 2D overlays of contextual data such as sea surface temperature and chlorophyll levels, and 3D modelled soundscapes. Selecting individual deployment stations brings up visualization interfaces that provide multiple ways to explore the data that has been collected there. A perceptually optimized tri-level spectrogram viewer permits rapid exploration of multiple years of raw recordings, and a similar deviations viewer reveals times when the ocean was unusually loud (or quiet) at various frequencies. An interactive heat map visualization presents the results of marine mammal detection algorithms, providing insight into migration behaviors, relationships with surrounding conditions such as temperature and chlorophyll, and cyclical patterns.

A Generic Interface Enabling Combinations of State-of-the-Art Path Planning and Tracking Algorithms

In the development of Level 4 automated driving functions, very specific, but diverse, requirements with respect to the operational design domain have to be considered. In order to accelerate this development, it is advantageous to combine dedicated state-of-the-art software components, as building blocks in modular automated driving function architectures, instead of developing special solutions from scratch. However, e.g., in local motion planning and control, the combination of components is still limited in practice, due to necessary interface alignments, which might yield sub-optimal solutions and additional development overhead. The application of generic interfaces, which manage the data transfer between the software components, has the potential to avoid these drawbacks and hence, to further boost this development approach. This publication contributes such a generic interface concept between the local path planning and path tracking systems. The crucial point is a generalization of the lateral tracking error computation, based on an introduced error classification. It substantiates the integration of an internal reference path representation into the interface, to resolve the component interdependencies. The resulting, proposed interface enables arbitrary combinations of components from a comprehensive set of state-of-the-art path planning and tracking algorithms. Two interface implementations are finally applied in an exemplary automated driving function assembly task.

RDMA 기반 HDFS를 위한 PCIe NTB Interconnect Network의 JNI 인터페이스 설계 및 구현

RDMA 기반 HDFS를 위한 PCIe NTB Interconnect Network의 JNI 인터페이스 설계 및 구현

Arduino: a Novel Solution to the Problem of High-Cost Experimental Equipment in Higher Education

The acquisition of experimental equipment has become a problem, due to its high costs. To partially solve this problem, the scientific community has used the Arduino data acquisition board (DAB). This board has a low-cost and allows the automation of equipment in a simple and practical way. However, using only the Arduino board is no longer enough, it is now necessary to combine it with the implementation of an user-friendly interface. Through this combination, it is possible to develop sophisticated laboratory equipment. The aim of this work is to describe step by step and in a simple way the development and implementation of a low-cost experimental equipment based on Arduino for use in higher education. Also, this work tries to encourage users to develop their own laboratory equipment, and solve their equipment needs. The novelty of this work pretends to be that any user without a deep knowledge of electronics and programming can easily assemble their own lab equipment, avoiding high equipment fees. In this work, three simple examples are shown, and any teacher, researcher, or student can easily reproduce them. With the combination of three previous examples, it is possible to develop sophisticated laboratory equipment, for example a Ph Meter with temperature sensor and stirring setup. The commercial cost of this lab equipment is approximately 600 USD, but with this homemade setup, the total cost drops to 75 USD.

Micro-continuum approach for mineral precipitation

Rates and extents of mineral precipitation in porous media are difficult to predict, in part because laboratory experiments are problematic. It is similarly challenging to implement numerical methods that model this process due to the need to dynamically evolve the interface of solid material. We developed a multiphase solver that implements a micro-continuum simulation approach based on the Darcy–Brinkman–Stokes equation to study mineral precipitation. We used the volume-of-fluid technique in sharp interface implementation to capture the propagation of the solid mineral surface. Additionally, we utilize an adaptive mesh refinement method to improve the resolution of near interface simulation domain dynamically. The developed solver was validated against both analytical solution and Arbitrary Lagrangian–Eulerian approach to ensure its accuracy on simulating the propagation of the solid interface. The precipitation of barite (BaSO4) was chosen as a model system to test the solver using variety of simulation parameters: different geometrical constraints, flow conditions, reaction rate and ion diffusion. The growth of a single barite crystal was simulated to demonstrate the solver’s capability to capture the crystal face specific directional growth.

Constructing a mutually supportive interface between ethics and regulation

When the word 'ethical' becomes synonymous with specious, you know that something is amiss. With each data governance scandal, with each creation of a corporate 'ethics board', 'ethical standards' seemingly lose a few more feathers, to the point of generating instant suspicion when invoked in any official report. We argue that a key challenge in this regard is to more precisely define the ethics-regulation interface. In order to do this, we first provide an overview of recent endeavours to develop ethical frameworks around technology. We then look at a successful process of refinement of the ethics-regulation interface: the case of healthcare ethics in the UK. The third section develops an account of what a more robust ethics-regulation interface could look like, which would support a process of cross-fertilisation between the political, ethical and legal approaches. Finally, the fourth and last section critically examines a ‘live’ implementation of such ethics-regulation interface, as put forward in Quebec's ‘Bill 29′.

Impact of information technology on the lives of people with disabilities

This article discusses the impact of information technology on the lives of people with disabilities. The latest technologies open wide opportunities for use by people with special needs. In particular, digital technologies are much more important for people with disabilities than for others, because they not only help to make their lives more comfortable, but also provide an opportunity to live as full a life as possible. The aim of the article is to study and analyze the impact of information technology on the lives of people with special needs in the modern world. Mobile applications are one of the most affordable IT products specialized for people with disabilities. The latest IT technologies, such as: speech recognition, the use of various sensors, machine and deep learning of neural networks simplify the lives of people with special needs. People with disabilities face a variety of challenges in today’s information space. But modern technology helps them solve many problems. Such technologies are called Assistive Technologies. High-tech assistive technologies open up a large number of opportunities for interaction with the outside world, regardless of the type of disability. For example, by using computer technology for tasks such as reading and writing documents, communicating with other people, and searching for information on the Internet, students and employees with disabilities are able to work independently with a wider range of data. Considering all the facts discussed in this article we can make the following conclusion. The article reviewed and analyzed the impact of IT technologies on the lives of people with special needs in the modern informational environment. We can state for sure that modern society is more than ever integrated into IT technologies. This way, the people with disabilities use IT in their daily lives. Such technologies are created not only to simplify their lives, but also to provide opportunities for comprehensive and full interaction with the outside world. Numerous researches confirmed that the implementation of a simple interface specialized for the specific requirements of people with disabilities makes the use of such applications one of the key stages in attracting people with special needs to the active social life of society.

A New Recognition Method for the Auditory Evoked Magnetic Fields.

Magnetoencephalography (MEG) is a persuasive tool to study the human brain in physiology and psychology. It can be employed to obtain the inference of change between the external environment and the internal psychology, which requires us to recognize different single trial event-related magnetic fields (ERFs) originated from different functional areas of the brain. Current recognition methods for the single trial data are mainly used for event-related potentials (ERPs) in the electroencephalography (EEG). Although the MEG shares the same signal sources with the EEG, much less interference from the other brain tissues may give the MEG an edge in recognition of the ERFs. In this work, we propose a new recognition method for the single trial auditory evoked magnetic fields (AEFs) through enhancing the signal. We find that the signal strength of the single trial AEFs is concentrated in the primary auditory cortex of the temporal lobe, which can be clearly displayed in the 2D images. These 2D images are then recognized by an artificial neural network (ANN) with 100% accuracy, which realizes the automatic recognition for the single trial AEFs. The method not only may be combined with the source estimation algorithm to improve its accuracy but also paves the way for the implementation of the brain-computer interface (BCI) with the MEG.

Human-robot-interaction using cloud-based speech recognition systems

Progress in natural speech processing has enabled significantly more powerful speech processing systems, primarily due to the use of machine learning technologies. In order to integrate cloud-based speech recognition systems for human-robot interaction, an interface for the voice control of a lightweight robot was developed. The main contribution of this work is the design and implementation of a software interface to recognize commands via cloud-based speech processing and the subsequently conversion into machine-readable code. Requirements for the evaluation of different cloud-services for the control of robots are determined. Furthermore, the control architecture for the robot is modeled and implemented. An example application, which enables users to control robot movements via speech, is realized as a proof of concept and for additional studies. This application includes the basic features of cloud-based speech processing: intent recognition from utterances, slot filling and dialogue-based interaction. Lastly, the influence of background noise on process safety was examined within an experiment. It turns out that a feasible process reliability can be achieved with the system despite the presence of background noises.