User Commands Research Articles

HOME AUTOMATION USING SMART MIRROR WITH RASPBERRY PI

Intelligent mirrors, which continue the works today and will take its place in the future technology, provide both mirror and computer aided information services to its users.. The user command is recognized by Raspberry PI through the micro phone in the mirror, in-built microphone and speaker is used for communicate with the mirror. That mirror shows time, calendar, reminders and headlines.

DDS: The Dynamic Deployment System

The Dynamic Deployment System (DDS) [1, 2] is a tool-set that automates and significantly simplifies the deployment of user-defined processes and their dependencies on any resource management system (RMS) using a given topology. DDS is a part of the ALFA framework [3]. DDS implements a single responsibility principle command line tool-set and API. The system treats users’ taskas a black box – it can be an executable or a script. It also provides a watchdogging and a rule-based execution of tasks. DDS implements a plug-in system to abstract the execution of the topology from RMS. Additionally it ships an SSH and a localhost plug-ins which can be used when no RMS is available. DDS doesn’t require pre-installation and pre-configuration on the worker nodes. It deploys private facilities on demand with isolated sandboxes.The system provides a key-value property propagation engine. That engine can be used to configure tasks at runtime. DDS also provides a lightweight API for tasks to exchange messages, so-called, custom commands. In this report a detailed description, current status and future development plans of the DDS will be highlighted.

SAROTUP: a suite of tools for finding potential target-unrelated peptides from phage display data.

SAROTUP (Scanner And Reporter Of Target-Unrelated Peptides) 3.1 is a significant upgrade to the widely used SAROTUP web server for the rapid identification of target-unrelated peptides (TUPs) in phage display data. At present, SAROTUP has gathered a suite of tools for finding potential TUPs and other purposes. Besides the TUPScan, the motif-based tool, and three tools based on the BDB database, i.e., MimoScan, MimoSearch, and MimoBlast, three predictors based on support vector machine, i.e., PhD7Faster, SABinder and PSBinder, are integrated into SAROTUP. The current version of SAROTUP contains 27 TUP motifs and 823 TUP sequences. We also developed the standalone SAROTUP application with graphical user interface (GUI) and command line versions for processing deep sequencing phage display data and distributed it as an open source package, which can perform perfectly locally on almost all systems that support C++ with little or no modification. The web interfaces of SAROTUP have also been redesigned to be more self-evident and user-friendly. The latest version of SAROTUP is freely available at http://i.uestc.edu.cn/sarotup3.

Appearance-Based Gaze Estimator for Natural Interaction Control of Surgical Robots

Robots are playing an increasingly important role in modern surgery. However, conventional human–computer interaction methods, such as joystick control and sound control, have some shortcomings, and medical personnel are required to specifically practice operating the robot. We propose a human–computer interaction model based on eye movement with which medical staff can conveniently use their eye movements to control the robot. Our algorithm requires only an RGB camera to perform tasks without requiring expensive eye-tracking devices. Two kinds of eye control modes are designed in this paper. The first type is the pick and place movement, with which the user uses eye gaze to specify the point where the robotic arm is required to move. The second type is user command movement, with which the user can use eye gaze to select the direction in which the user desires the robot to move. The experimental results demonstrate the feasibility and convenience of these two modes of movement.

User command acquisition based IoT automatic control system

<p>Recently, researches are being conducted to build a smart environment using various sensors and devices and to provide customized services to users through IoT (Internet of Things). The existing IoT system operates the device only by using the threshold value. So, there are problems that device operates when a service that does not consider a user characteristic is provided or when user not necessary. In this paper, to solve these problems, the system collects the remote control commands and compares it with the value of device operation threshold and sets the changed threshold value. In addition, devices not registered in the server constitute the environment by linking with existing task. Therefore, it is possible to provide a customized service to the users.</p>

Language-driven synthesis of 3D scenes from scene databases

We introduce a novel framework for using natural language to generate and edit 3D indoor scenes, harnessing scene semantics and text-scene grounding knowledge learned from large annotated 3D scene databases. The advantage of natural language editing interfaces is strongest when performing semantic operations at the sub-scene level, acting on groups of objects. We learn how to manipulate these sub-scenes by analyzing existing 3D scenes. We perform edits by first parsing a natural language command from the user and transforming it into a semantic scene graph that is used to retrieve corresponding sub-scenes from the databases that match the command. We then augment this retrieved sub-scene by incorporating other objects that may be implied by the scene context. Finally, a new 3D scene is synthesized by aligning the augmented sub-scene with the user's current scene, where new objects are spliced into the environment, possibly triggering appropriate adjustments to the existing scene arrangement. A suggestive modeling interface with multiple interpretations of user commands is used to alleviate ambiguities in natural language. We conduct studies comparing our approach against both prior text-to-scene work and artist-made scenes and find that our method significantly outperforms prior work and is comparable to handmade scenes even when complex and varied natural sentences are used.

Interactive Text2Pickup Networks for Natural Language-Based Human–Robot Collaboration

In this letter, we propose the Interactive Text2Pickup (IT2P) network for human-robot collaboration that enables an effective interaction with a human user despite the ambiguity in user's commands. We focus on the task where a robot is expected to pick up an object instructed by a human, and to interact with the human when the given instruction is vague. The proposed network understands the command from the human user and estimates the position of the desired object first. To handle the inherent ambiguity in human language commands, a suitable question which can resolve the ambiguity is generated. The user's answer to the question is combined with the initial command and given back to the network, resulting in more accurate estimation. The experiment results show that given unambiguous commands, the proposed method can estimate the position of the requested object with an accuracy of 98.49% based on the test dataset. Given ambiguous language commands, we show that the accuracy of the pick up task increases by 1.94 times after incorporating the information obtained from the interaction.

COMPUTER TECHNOLOGY IN TEACHING MATHEMATICS STUDENTS SHORT FORM OF TRAINING

In this work the methodical features of the use of information and communication technologies during the course of higher mathematics students of technical specialties students who are studying at the shorter term of training are researched. The use of blended learning technology is proposed, which is to combine traditional face-to-face learning with computer-mediated activity. In the work, the following features of the methodology of the use of information and communication technologies, related to the specifics of learning in a shorter term are determined. Part of the course is common to educational institutions of different levels. It is suggested to use the basic electronic notes for a concise repetition of the corresponding basic sections of higher mathematics. The contents of the notes are clearly consistent with the work programs of the two educational institutions. Electronic methodological materials should include examples of solving typical tasks. In the part of the examples, the explanation is opened step by step after the additional user command. The student is able to independently conduct each stage of the decision, checking with an electronic manual. The new training materials are grouped into short themed blocks and contain an automatic links to reference materials. In each section some of tasks have a professional orientation. Students with shorter term training have additional professional knowledge. It simplifies the processing of tasks whose content is associated with other disciplines. In knowledge control, a combination of test tasks with a computer rewrite of responses with open-ended tasks is required. The teacher checks the open-type task and carry out a short examine. The current student results for each of them are determined on a 100-point scale. This allows you to visually reflect the dynamics of the results of each particular student. The paper also identifies certain disadvantages associated with the use of information technology in the learning process. These include, in particular, the considerable expenses of the teacher at the stage of development and testing of teaching materials and the need for a high level of self-control of students in the use of ICT.

Microcomputer based embedded SCADA and RFID systems implemented on LINUX platform

Possibilities and ways of design, implementation and application of microcomputer based embedded SCADA and RFID systems implemented on LINUX platform are considered, proposed and described in the paper. It is proposed to use open source hardware and software microcomputer technologies for design and implementation of the systems. Major possibilities and advantages of implementation and application of such systems are described. One such practically designed and implemented system that performs data acquisition and appropriate control is presented and described. Technologies used to realize the system, as well as embedded application of such solution are described. The system hardware was implemented using open source microcomputer boards, RFID and other sensors, WiFi router and additional electronics. The system software was implemented using open source tools and programs and LINUX operating system. The system was realized using modular approach. It enables easy system expandability, simplifying maintenance and adapting of the system to user requirements and needs. Access to system monitoring and control is possible using web based user interface and command line interface. It is achieved balance between functionality and cost of the system. Main advantages of the system compared with standard SCADA and RFID systems are low cost of the system, optimization according to user requirements and needs and low consumption of electrical energy. It is specialized and optimized system for specific requirements and needs.

PDV: an integrative proteomics data viewer.

Data visualization plays critical roles in proteomics studies, ranging from quality control of MS/MS data to validation of peptide identification results. Herein, we present PDV, an integrative proteomics data viewer that can be used to visualize a wide range of proteomics data, including database search results, de novo sequencing results, proteogenomics files, MS/MS data in mzML/mzXML format and data from public proteomics repositories. PDV is a lightweight visualization tool that enables intuitive and fast exploration of diverse, large-scale proteomics datasets on standard desktop computers in both graphical user interface and command line modes. PDV software and the user manual are freely available at http://pdv.zhang-lab.org. The source code is available at https://github.com/wenbostar/PDV and is released under the GPL-3 license. Supplementary data are available at Bioinformatics online.

A facial expression controlled wheelchair for people with disabilities

Background and ObjectivesIn order to improve assistive technologies for people with reduced mobility, this paper develops a new intelligent real-time emotion detection system to control equipment, such as electric wheelchairs (EWC) or robotic assistance vehicles. Every year, degenerative diseases and traumas prohibit thousands of people to easily control the joystick of their wheelchairs with their hands. Most current technologies are considered invasive and uncomfortable such as those requiring the user to wear some body sensor to control the wheelchair. MethodsIn this work, the proposed Human Machine Interface (HMI) provides an efficient hands-free option that does not require sensors or objects attached to the user's body. It allows the user to drive the wheelchair using its facial expressions which can be flexibly updated. This intelligent solution is based on a combination of neural networks (NN) and specific image preprocessing steps. First, the Viola-Jones combination is used to detect the face of the disability from a video. Subsequently, a neural network is used to classify the emotions displayed on the face. This solution called "The Mathematics Behind Emotion" is capable of classifying many facial expressions in real time, such as smiles and raised eyebrows, which are translated into signals for wheelchair control. On the hardware side, this solution only requires a smartphone and a Raspberry Pi card that can be easily mounted on the wheelchair. ResultsMany experiments have been conducted to evaluate the efficiency of the control acquisition process and the user experience in driving a wheelchair through facial expressions. The classification accuracy can expect 98.6% and it can offer an average recall rate of 97.1%. Thus, all these experiments have proven that the proposed system is able of accurately recognizing user commands in real time. Indeed, the obtained results indicate that the suggested system is more comfortable and better adapted to severely disabled people in their daily lives, than conventional methods. Among the advantages of this system, we cite its real time ability to identify facial emotions from different angles. ConclusionsThe proposed system takes into account the patient's pathology. It is intuitive, modern, doesn't require physical effort and can be integrated into a smartphone or tablet. The results obtained highlight the efficiency and reliability of this system, which ensures safe navigation for the disabled patient.

An Easily Fabricated Low-Cost Potentiostat Coupled with User-Friendly Software for Introducing Students to Electrochemical Reactions and Electroanalytical Techniques

This paper presents a teaching kit that combines the fabrication of a low-cost microcontroller-based potentiostat and a LabVIEW-generated graphical user interface. The potentiostat enables undergraduate-level students to learn electroanalytical techniques and characterize energy conversion devices such as solar cells. The purpose of this teaching module is to make the introduction of electrochemistry accessible to undergraduate laboratories, especially those with limited financial resources and without expertise in electronics or programming. The electronic circuit components for the potentiostat are readily available and easy to assemble. The graphical user interface replaces any programming-based interface, displays data in real time, and interacts with user commands. The software package is a stand-alone executable file that is compatible with any PC and is provided in the Supporting Information. Cyclic voltammetry, linear sweep voltammetry, and chronoamperometry functions are demonstrated with represe...

Wireless opto-electro neural interface for experiments with small freely behaving animals

Objective. We have developed a wireless opto-electro interface (WOENI) device, which combines electrocorticogram (ECoG) recording and optical stimulation for bi-directional neuromodulation on small, freely behaving animals, such as rodents. Approach. The device is comprised of two components, a detachable headstage and an implantable polyimide-based substrate. The headstage establishes a bluetooth low energy (BLE) bi-directional data communication with an external custom-designed USB dongle for receiving user commands and optogenetic stimulation patterns, and sending digitalized ECoG data. Main results. The functionality and stability of the device were evaluated in vivo on freely behaving rats. When the animal received optical stimulation on the primary visual cortex (V1) and visual stimulation via eyes, spontaneous changes in ECoG signals were recorded from both left and right V1 during four consecutive experiments with 7 d intervals over a time span of 21 d following device implantation. Immunostained tissue analyses showed results consistent with ECoG analyses, validating the efficacy of optical stimulation to upregulate the activity of cortical neurons expressing ChR2. Significance. The proposed WOENI device is potentially a versatile tool in the studies that involve long-term optogenetic neuromodulation.

Electricity-heat response of firing materials

ABSTRACTThe transient pulse testing is used in bridgewire-charges to measure the electrothermal performance non-destructively rather than by the conventional inspection. The conventional inspection has the disadvantage of destruction with a number of products tested, while the transient pulse testing can give a dynamic electrothermal curve at a user's command. In addition, the transient pulse testing can be used to measure a passel of products one by one rather than by a statistical spot check. Unfortunately, a statistic spot check cannot provide the firing reliability of products efficiently. The other way round, the transient pulse testing may put an end to the possibility of loss for users absolutely. The reason that the transient pulse testing is not devastating for products is that these mixtures of a product have a required thermal stability, and then are simultaneously able to be responded reliably by a very small pulse current. We have determined that these red matches based on Si/Pb3O4/DDNP mixtures electrothermal responsibility curves. Firing performance, measurements of the transient pulse testing, and electrothermal parameters are presented in this paper.

Diseño y desarrollo de un prototipo robótico con orange PI

En este artículo se presenta el desarrollo de un robot móvil controlado vía web, diseñado para ejecutar tareas de monitoreo. El sistema es controlado mediante la tarjeta Orange Pi+ 2E y una tarjeta Arduino. El Robot está construido en acrílico, posee Una pantalla LCD touch para la comunicación con el usuario, 4 motores (para mover el vehículo), un controlador de carga, Sensores ultrasónicos para medir la distancia entre otros dispositivos de control. Se programó el sistema para que efectuará las tareas de manera óptima transmitiendo las imágenes de la cámara, la respuesta de los sensores y las órdenes de control del usuario cada 100 ms, la herramienta empleada es el framework ROS (Robot Operating System). En este caso se empleó el sistema operativo Linux server en la Orange Pi; que permite usar múltiples lenguajes de programación como lo son Java, PHP, Xajax y SH, en conjunto se ejecutan en un solo programa o interfaz de usuario que, a través de HTML5 y un navegador WEB permiten: captar video de la cámara, leer los comandos del usuario y hacer la petición a la Arduino para que dé la orden a los motores de efectuar el movimiento, leer el sensor y publicar en la pantalla LCD.

An Efficient Workflow for Collecting, Entering, and Proofing Field Data: Harnessing Voice Recording and Dictation Software

An Efficient Workflow for Collecting, Entering, and Proofing Field Data: Harnessing Voice Recording and Dictation Software

Users’ domain knowledge prediction in e-learning with speech-interfaced augmented and virtual reality contents

E-learning provides an individualized course path which provides a user the convenience of pacing ones way through a particular course. One of the key privileges it offers is the flexibility of the course and consistent delivery of the material. The proposed system predicts the user’s domain knowledge with the help of the lectures knowledge that a particular user completes and also a lecture’s knowledge gets updated with respect to the users’ knowledge who searches for it. The dependency among the domains also plays a vital role in updating ones’ domain knowledge. The dependencies can be determined by constructing a fuzzy cognitive map. This helps in determining the user’s knowledge in other domains also. The lectures of the proposed system include Augmented Reality and Virtual Reality contents which give an interactive learning experience to the users. The user commands are accepted as audio signals, processed, classified and mapped to the system commands to make it to respond. This proposed work uses the combination of discrete wavelet transform and wavelet packet decomposition for feature extraction and artificial neural network for classification.

A Collision Arbitration Protocol Based on Specific Selection Function

Fast and effective identifications of a large number of items are required in many Radio-frequency identification (RFID) applications. Simultaneous responses from multiple tags are corrupted by collisions and thus result in low identification efficiency. To address the problem of low identification efficiency, many existing tag anticollision algorithms try to schedule the identification process to avoid collisions. A novel anti-collision scheme based on specific selection function is presented, in which tags pick a slot according to a selection function instead of being randomly assigned to slots within a frame. If collision occurs, the reader sends the custom command SETBM according to the collision information. When probed by the SETBM, the tags apply the selection function to its partial ID and send the mapped result to the reader. According to the mapped result, the reader assigns the time slot to the tags. All tags collided in the same slot will be identified by the tree traversal scheme. Compared to the most of existing anti-collision algorithms, simulation results show that our proposed algorithm can achieve better performance in terms of identification efficiency, time efficiency, and energy consumption.

IMPLEMENTASI MIKROKONTROLER SINGLE MASTER-MULTI SLAVE UNTUK PENGIRIMAN DAN PENERIMAAN DATA PADA PROTOTIPE STASIUN CUACA

We have carried out the microcontroller research implementation as a Master to control multiple Slaves microcontroller on weather station prototype. Master Microcontroller could be interconnected with four Slaves microcontrollers Slaves, in which each has a different type of input. In this research, we used an ATmega8535 microcontroller. To distinguish between a Slave microcontroller and another Slave microcontroller, an addressing system (ID) is used. Data communication used a standard serial port RS-232 and RS-485 ports, the connector is used to connect the two ports. The Single Board Controller (SBC) Master serves user commands from users, sending the commands and processing Slaves. User commands are given via the keypad and then transmitted using a Universal Asynchronous Receiver-Transmitter (USART) to SBC Slaves. The process on the SBC Slaves is waiting for orders from the Master. The order is detected using an interrupt. After that, the commands are processed and the respond is sent to the SBC Master via USART. When there is no command, Slaves do the idle process. The result shows that the microcontroller application single Master - multiple Slaves has functioned for sending and receiving data in accordance with the specified command. This is shown by the output on a display that has shown the result as expected. The power consumption of each SBC is relatively small which is 0,745 Watt. Thus, it makes the system more economically profitable.

Probabilistic vs linear blending approaches to shared control for wheelchair driving.

Some people with severe mobility impairments are unable to operate powered wheelchairs reliably and effectively, using commercially available interfaces. This has sparked a body of research into "smart wheelchairs", which assist users to drive safely and create opportunities for them to use alternative interfaces. Various "shared control" techniques have been proposed to provide an appropriate level of assistance that is satisfactory and acceptable to the user. Most shared control techniques employ a traditional strategy called linear blending (LB), where the user's commands and wheelchair's autonomous commands are combined in some proportion. In this paper, however, we implement a more generalised form of shared control called probabilistic shared control (PSC). This probabilistic formulation improves the accuracy of modelling the interaction between the user and the wheelchair by taking into account uncertainty in the interaction. In this paper, we demonstrate the practical success of PSC over LB in terms of safety, particularly for novice users.