Text-based Interface Research Articles

SMART CAMPUS BOT

A chat-bots aims to make a conversation between both human and machine.The machine has been embedded knowledge to identify the sentences and making a decision itself as a response to answer a question. Chat-bots will becompletely based on a text-based user interface, allowing the user to type commands and receive text as well as text to speech response.Chat-bots are usually stateful services, remembering previous commands in order to provide functionality. It can be utilized securely by an even largeraudience when chat-bots technology is integrated with popular web services. The college inquiry chat-bots will be built using artificial algorithms that analyze user's queries and understand user's message.The response principle is matching the input sentence from a user. The User can ask the question any college-related activities through the chat-bot without physically available to the college for inquiry. The System analyses the question and then answers to the user. With the help of artificial intelligence, the system answers the query asked by the students. The system replies using an effective Graphical User Interface as if a real person is talking to the user. The user just has to register himself to the system and has to login to the system. The chatbots consists of core and interface that is accessing in the Telegram by Ngrok. Natural language processing technologies are used for parsing, tokenizing, stemming and filtering the content of the complaint. Keywords— “Anaconda Prompt”,“College System,“Placement Information”, “Python”, “Rasa”, “Telegram User Interface”

COMMAND –LINE INTERFACES FOR MACHINE LEARNING: ENHANCING ACCESSSIBILITY AND EFFICIENCEY

This research paper aims to explore the integration of command-line interfaces (CLIs) in machine learning workflows to enhance accessibility, efficiency, and user experience. Traditional graphical user interfaces (GUIs) dominate the machine learning ecosystem, but CLIs offer unique advantages, particularly in resource – constrained environments and for automation purposes . The field of machine learning (ML) has witnessed rapid advancements, leading to the development of sophisticated models and algorithms. However, the accessibility and efficiency of employing these powerful tools remain significant challenges, especially for practitioners with diverse skill levels. This paper explores the role of command- line interfaces (CLIs) as a solution to address these challenges in the context of machine learning workflows. CLIs have a long-standing history in software development and system administration, providing a text-based interface for interacting with computer programs. In recent years, the integration of CLIs in the machine learning ecosystem has gained traction due to their ability to streamline and automate complex tasks This paper reviews the current landscape of ML CLIs, highlighting their advantages in terms of reproducibility , scalability and version control.

Acceptability and Feasibility of Text Message Interface to Assess Parents' Real-time PICU Experiences.

Parents of children in the pediatric intensive care unit (PICU) experience substantial stress; a parent's perception of their child's illness severity, more than objective measures, predicts psychological outcomes. No tools exist to assess parents' real-time experiences. This pilot study evaluated the feasibility and acceptability of a text-based tool to measure parental experience. Inclusion criteria included PICU stay >48 h, physician approval, smartphone access, and English-speaking caregiver. Eligible parents received a text-based baseline survey and surveys every other day while hospitalized regarding their mood/experiences and optional open-ended questions regarding stressors. They received post-discharge follow-up surveys at 1 week and 1, 3, and 6 months. Follow-up surveys assessed mood and symptoms of depression, anxiety, and post-traumatic stress. Interviews and surveys about the interface were conducted 1 week and 3 months following discharge. Feasibility was assessed by descriptive statistics (eg, response rates), and acceptability was assessed by descriptive statistics (survey results) and thematic analyses of interviews. Of 20 enrolled participants, the first 5 were excluded due to technical issues. Of the 15 included, results demonstrated feasibility and acceptability. Most participants (86%) completed all surveys during the PICU stay and continued to complete surveys at a high rate: 79%-94% 3 months post-discharge. All participants agreed that the system was easy to use and were satisfied with the system at discharge, and 91% remained satisfied 3 months post-discharge. Additionally, 76% reported comfort, and 69% reported benefit. From the interviews, participants lauded the system's convenience and applicability of content. Some proposed changes to improve ergonomics. Many suggested this interface could help teams better support families. A text-based interface for measuring experience in the PICU is feasible and acceptable to parents. Further research can explore how this could identify parents most at risk of adverse psychological sequelae and lead to earlier supportive interventions.

Comparing input interfaces to elicit belief distributions

Abstract This paper introduces a new software interface to elicit belief distributions of any shape: Click-and-Drag. The interface was tested against the state of the art in the experimental literature—a text-based interface and multiple sliders—and in the online forecasting industry—a distribution-manipulation interface similar to the one used by the most popular crowd-forecasting website. By means of a pre-registered experiment on Amazon Mechanical Turk, quantitative data on the accuracy of reported beliefs in a series of induced-value scenarios varying by granularity, shape, and time constraints, as well as subjective data on user experience were collected. Click-and-Drag outperformed all other interfaces by accuracy and speed, and was self-reported as being more intuitive and less frustrating, confirming the pre-registered hypothesis. Aside of the pre-registered results, Click-and-Drag generated the least drop-out rate from the task, and scored best in a sentiment analysis of an open-ended general question. Further, the interface was used to collect homegrown predictions on temperature in New York City in 2022 and 2042. Click-and-Drag elicited distributions were smoother with less idiosyncratic spikes. Free and open source, ready to use oTree, Qualtrics and Limesurvey plugins for Click-and-Drag, and all other tested interfaces are available at https://beliefelicitation.github.io/.

A Method to Resolve Simulation of Discontinuous Flow Field: A Valve Example From Full Closing to Re-Closure

Abstract In transient computational fluid dynamics (CFD) simulations, the continuity of the flow field is an essential prerequisite. However, continuous flows can be separated under certain conditions, such as the process from valve opening to reclosure. The current method often leaves a narrow gap to estimate the full closing status, which will introduce a deviation. To address this issue, a full closing numerical simulation method (FCNSM) is developed to solve the problem of simulation between discontinuous flow field (DFF) and continuous flow field (CFF). The matrix laboratory (matlab) program has been used to communicate fluent as a server session to call the files fluent and automatically execute text-based user interface (TUI) commands. The radial basis function (RBF) is used to construct the relationship between the variables of the flow field and the coordinates of mesh nodes, which can achieve the data transmission from a DFF to a CFF. Automatic stopping of transient calculations is achieved by passing variables among matlab program, scheme language, and user-defined functions (UDF) when a physical quantity reaches a set value. Based on this method, a transient simulation with a dynamic mesh of a 2-D model regarding a pressure relief valve (PRV) is performed to simulate the process of the valve from full closing to reclosure, the flow characteristics through the PRV are obtained using this method. This study makes it possible to use FCNSM for understanding dynamic characteristics from DFF to CFF.

Usability Enhancement of SMS Interface for Illiterate Users

This article analyzes several User Interface (UI) designs and puts forward some more general design principles for interfaces designed for low-literate users. The results of this study highlight the importance of text-free interfaces compared to text-based interfaces for the illiterate and low-literate population. The study developed a Short Message Service (SMS) interface consisting of many design elements, including graphical icons, voice, and text reduction. The participants were more satisfied with the designed SMS interface as compared to the traditional text-based interface of SMS. We believe that if the user interface is appropriately designed, users will not need formal literacy, computer skills, or any external help to operate the application. It has been shown that an interface with minimal or no text but one or more graphics, audio, and digital components is helpful for users with low literacy rates.

Student Information Chatbot System

Conversational agents, also known as chatbots, are automated systems for engaging in two-way dialogue with human users. Nowadays the use of Chatbots is very popular in a large scale of applications especially in systems that provide an intelligence support to the user. In fact, to speed up the assistance, in many cases, these systems are equipped with Chatbots that can interpret the user questions and provide the right answers, in a fast and correct way. Chatbots typically provide a text-based user interface, allowing the user to type commands and receive text as well as text to speech response. When chat bot technology is integrated with popular web services it can be utilized securely by an even larger audience. The student information chat bot will analyse user’s queries and understand user’s message for appropriate response generation. This System will be a web application which provides answer to the query of the student very effectively. Students just have to put their query to the bot which is used for chatting. The system will use the algorithms to give appropriate answers to the user. If the answer is found invalid, then there is an option to report to admin so that the users query will be satisfied. These invalid questions can be deleted or modified by the admin of the system and an appropriate answer can be embedded in the database. The student will not have to go to the college for enquiring something. Student can use the chat bot to get the answers to their queries. Students can use this web based system for making enquiries at any point of time. This system may help students to stay updated with the college activities.

F/Wvis: Hierarchical Visual Approach for Effective Optimization of Firewall Policy

As an essential system for protecting internal networks and valuable information, the firewall monitors and controls network traffic in terms of access control, authentication, logging, and auditing. In particular, it carries out both allowing and blocking communications between internal and external networks based on proper Access Control List (ACL). However, a complex ACL along with huge network environments lead to exposing vulnerabilities and communication problems, because of anomalies among policies. Even though various techniques and applications combined with visualization approaches have been proposed, there is still a lack of usability caused by not only the limitation of the text-based interface but also the complexity of practical use. In order to solve these problems, this work proposes a 3D-based hierarchical visualization method, namely F/Wvis, for intuitive ACL management and analysis. The F/Wvis, particularly, supports ACL management for a large-scale network as well as analysis of detail anomalies on policies by providing a drill-down user interface through the hierarchical visualization approach. Further, the implemented system is evaluated against popular tools by network security experts to identify the usability and effectiveness in real-world situations (a demonstration video is available at: <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://bit.ly/34ooEDc</uri> ).

LiPydomics: A Python Package for Comprehensive Prediction of Lipid Collision Cross Sections and Retention Times and Analysis of Ion Mobility-Mass Spectrometry-Based Lipidomics Data.

Comprehensive profiling of lipid species in a biological sample, or lipidomics, is a valuable approach to elucidating disease pathogenesis and identifying biomarkers. Currently, a typical lipidomics experiment may track hundreds to thousands of individual lipid species. However, drawing biological conclusions requires multiple steps of data processing to enrich significantly altered features and confident identification of these features. Existing solutions for these data analysis challenges (i.e., multivariate statistics and lipid identification) involve performing various steps using different software applications, which imposes a practical limitation and potentially a negative impact on reproducibility. Hydrophilic interaction liquid chromatography-ion mobility-mass spectrometry (HILIC-IM-MS) has shown advantages in separating lipids through orthogonal dimensions. However, there are still gaps in the coverage of lipid classes in the literature. To enable reproducible and efficient analysis of HILIC-IM-MS lipidomics data, we developed an open-source Python package, LiPydomics, which enables performing statistical and multivariate analyses (“stats” module), generating informative plots (“plotting” module), identifying lipid species at different confidence levels (“identification” module), and carrying out all functions using a user-friendly text-based interface (“interactive” module). To support lipid identification, we assembled a comprehensive experimental database of m/z and CCS of 45 lipid classes with 23 classes containing HILIC retention times. Prediction models for CCS and HILIC retention time for 22 and 23 lipid classes, respectively, were trained using the large experimental data set, which enabled the generation of a large predicted lipid database with 145,388 entries. Finally, we demonstrated the utility of the Python package using Staphylococcus aureus strains that are resistant to various antimicrobials.

Model-based information navigation for engineering documents

Engineering and the manner in which engineers think is largely visual and functional, and yet engineers are typically provided with search engines that are text-based. While software based on a visual and functional ethos exist (CAD for example), when searching for information engineers are still required to enter a text query into a search box. This process holds potential incompatibilities both with the nature of the data (i.e. 3D models) and with the way in which engineers think and work. Consequentially, the proposition tested in this paper is that a model-based approach to information access, i.e. a representation of an organisations information around a model of an artefact i.e. CAD model, can improve engineering information retrieval.In an A-B test with a traditional text-based search engine, and using study questions derived from real-world information seeking scenarios based on the activities of a world-leading aircraft manufacturer, the results presented in this paper suggest that there is merit to such an approach. Specifically, this paper shows that there is no significant difference in time to complete a search between a model-based and text-based interfaces in spite of the addition of a new stage in the search process (navigating a 3D model); that the system structure of the model-based interface allows for non-text based documents to be indexed, making up for the inherent limitations in traditional text-based search; and that participants enjoy using the model-based interface and find it intuitive, easy and simple to use. Further, this paper also finds that those with more experience/familiar with the product structure and those in managerial positions are more likely to find information using a model-based interface that those who are not, who perform better using a text-based interface.

TMTDyn: A Matlab package for modeling and control of hybrid rigid–continuum robots based on discretized lumped systems and reduced-order models

A reliable, accurate, and yet simple dynamic model is important to analyzing, designing, and controlling hybrid rigid–continuum robots. Such models should be fast, as simple as possible, and user-friendly to be widely accepted by the ever-growing robotics research community. In this study, we introduce two new modeling methods for continuum manipulators: a general reduced-order model (ROM) and a discretized model with absolute states and Euler–Bernoulli beam segments (EBA). In addition, a new formulation is presented for a recently introduced discretized model based on Euler–Bernoulli beam segments and relative states (EBR). We implement these models in a Matlab software package, named TMTDyn, to develop a modeling tool for hybrid rigid–continuum systems. The package features a new high-level language (HLL) text-based interface, a CAD-file import module, automatic formation of the system equation of motion (EOM) for different modeling and control tasks, implementing Matlab C-mex functionality for improved performance, and modules for static and linear modal analysis of a hybrid system. The underlying theory and software package are validated for modeling experimental results for (i) dynamics of a continuum appendage, and (ii) general deformation of a fabric sleeve worn by a rigid link pendulum. A comparison shows higher simulation accuracy (8–14% normalized error) and numerical robustness of the ROM model for a system with a small number of states, and computational efficiency of the EBA model with near real-time performances that makes it suitable for large systems. The challenges and necessary modules to further automate the design and analysis of hybrid systems with a large number of states are briefly discussed.

Cell-Free DNA Pattern Identification and its Classification using Convolution Neural Network

Circulating cell DNA (cfDNA) design identification assumes a cardinal job in fetal drug, transplantation and oncology. Be that as it may, it has additionally demonstrated to be a biomarker for different maladies. There are numerous order strategies by which the acknowledgment and arrangement should be possible. So as to have a superior time unpredictability and improve the precision further, this strategy targets distinguishing and arranging the general DNA examples and ailments related with them utilizing cfDNA Images in a Convolution Neural Network. A probabilistic method is used for cfDNA image feature extraction, fragmentation and interpretation. Graphical User Interface is the platform where this method is employed since it uses visual indicators in place of text-based interface. The aftereffects of this test demonstrate that the Convolution Neural Network calculation can perceive cfDNA successions accurately and successfully with no dubiety. Prepared with examples, the CNN can effectively characterize the picture surrendered to coordinated and unparalleled examples with numerical highlights.

MDMS: Software Facilitating Performing Molecular Dynamics Simulations.

Molecular Dynamics Made Simple (MDMS) is software that facilitates performing molecular dynamics (MD) simulations of solvated protein/protein-ligand complexes with Amber, one of the most popular MD codes. It guides users through the whole process of running MD starting with choosing a protein structure, preparing the model, parametrization of the system, establishing parameters for controlling MD, and finally running simulations. By accommodating every step required for running MD, this software ensures that the simulations performed by a user will provide as realistic insight as it is possible. Its sequential structure and a text-based interface ensure ease of use, while the flexibility required for complex cases is still preserved. MDMS also provides a very time-efficient and streamlined method to start MD simulations, which makes it a feasible tool for both novices and experienced computational chemists. © 2019 Wiley Periodicals, Inc.

Usability Evaluation of Self-Diagnosis User Interfaces for Depression: A Comparative Study among Paper-Based, Text-Based, and Voice-Based Conversational Interfaces

Usability Evaluation of Self-Diagnosis User Interfaces for Depression: A Comparative Study among Paper-Based, Text-Based, and Voice-Based Conversational Interfaces

Evaluating the user interface and experience of VR in the electronic commerce environment: a hybrid approach

In recent years, to attract global manufacturers, media reporters, and consumer attention, a popular term in search engines has been virtual reality (VR). In addition to video, entertainment, education, and medical, VR can be used in electronic commerce (E-commerce). Currently, most E-commerce platforms present products using 2D images, text-based interface or animation. However, consumers want to know more about the products while online shopping and compare the product’s material, color, and other elements. Therefore, combining VR with E-commerce can improve the user’s shopping experience. This study will focus on the characteristics of VR and E-commerce. This feature can be used to interactively study UI and UX between users and designers to generate design criteria. Experimental design is carried out through the modified SEM-CPU method. Then, we use the think-aloud protocols, Questionnaire for User Interaction Satisfaction, and User Experience Questionnaire to understand the user’s thoughts on UI and UX. Moreover, this study uses focus group to interview experts to obtain expert opinions on VR E-commerce. Induction and integration of data is carried out to produce design criteria by experimental results. Finally, the Delphi method is utilized to validate and evaluate the practicability of the design criterion. Through the “UI and UX design criteria of VR” generated by this study, many important design elements can be proposed and assessed in VR E-commerce. In closing, this study provides design and development suggestions for VR developers to improve the positive influence of UX.

A method and tool for combining differential or inclusive measurements obtained with simultaneously constrained uncertainties

A method is discussed that allows combining sets of differential or inclusive measurements. It is assumed that at least one measurement was obtained with simultaneously fitting a set of nuisance parameters, representing sources of systematic uncertainties. As a result of beneficial constraints from the data all such fitted parameters are correlated among each other. The best approach for a combination of these measurements would be the maximization of a combined likelihood, for which the full fit model of each measurement and the original data are required. However, only in rare cases this information is publicly available. In absence of this information most commonly used combination methods are not able to account for these correlations between uncertainties, which can lead to severe biases as shown in this article. The method discussed here provides a solution for this problem. It relies on the public result and its covariance or Hessian, only, and is validated against the combined-likelihood approach. A dedicated software package implementing this method is also presented. It provides a text-based user interface alongside a C++ interface. The latter also interfaces to ROOT classes for simple combination of binned measurements such as differential cross sections.

Secure migration of legacy applications to the web

In software engineering, migration of an application is the process of moving the software from one execution platform to another. Nowadays, many desktop applications tend to migrate to the web or to the cloud. Desktop applications are not prepared to face the hostile environment of the web where applications frequently receive harmful data that attempt to exploit program vulnerabilities such as buffer overflows. We propose a migration process for desktop applications with a text-based user interface, which mitigates existing security concerns and enables the software to perform safely in the web without modifying its of the source code. Additionally, we describe an open source tool that facilitates our migration process.

VoCo

Editing audio narration using conventional software typically involves many painstaking low-level manipulations. Some state of the art systems allow the editor to work in a text transcript of the narration, and perform select, cut, copy and paste operations directly in the transcript; these operations are then automatically applied to the waveform in a straightforward manner. However, an obvious gap in the text-based interface is the ability to type new words not appearing in the transcript, for example inserting a new word for emphasis or replacing a misspoken word. While high-quality voice synthesizers exist today, the challenge is to synthesize the new word in a voice that matches the rest of the narration. This paper presents a system that can synthesize a new word or short phrase such that it blends seamlessly in the context of the existing narration. Our approach is to use a text to speech synthesizer to say the word in a generic voice, and then use voice conversion to convert it into a voice that matches the narration. Offering a range of degrees of control to the editor, our interface supports fully automatic synthesis, selection among a candidate set of alternative pronunciations, fine control over edit placements and pitch profiles, and even guidance by the editors own voice. The paper presents studies showing that the output of our method is preferred over baseline methods and often indistinguishable from the original voice.

The use of Graphic User Interface for development of a user-friendly CRS-Stack software

The development of a user-friendly Common Reflection Surface (CRS) Stack software that has been built by implementing Graphical User Interface (GUI) is described in this paper. The original CRS-Stack software developed by WIT Consortium is compiled in the unix/linux environment, which is not a user-friendly software, so that a user must write the commands and parameters manually in a script file. Due to this limitation, the CRS-Stack become a non popular method, although applying this method is actually a promising way in order to obtain better seismic sections, which have better reflector continuity and S/N ratio. After obtaining successful results that have been tested by using several seismic data belong to oil companies in Indonesia, it comes to an idea to develop a user-friendly software in our own laboratory. Graphical User Interface (GUI) is a type of user interface that allows people to interact with computer programs in a better way. Rather than typing commands and module parameters, GUI allows the users to use computer programs in much simple and easy. Thus, GUI can transform the text-based interface into graphical icons and visual indicators. The use of complicated seismic unix shell script can be avoided. The Java Swing GUI library is used to develop this CRS-Stack GUI. Every shell script that represents each seismic process is invoked from Java environment. Besides developing interactive GUI to perform CRS-Stack processing, this CRS-Stack GUI is design to help geophysicists to manage a project with complex seismic processing procedures. The CRS-Stack GUI software is composed by input directory, operators, and output directory, which are defined as a seismic data processing workflow. The CRS-Stack processing workflow involves four steps; i.e. automatic CMP stack, initial CRS-Stack, optimized CRS-Stack, and CRS-Stack Supergather. Those operations are visualized in an informative flowchart with self explanatory system to guide the user inputting the parameter values for each operation. The knowledge of CRS-Stack processing procedure is still preserved in the software, which is easy and efficient to be learned. The software will still be developed in the future. Any new innovative seismic processing workflow will also be added into this GUI software.

A Comprehensive Clinical Decision Support Application Software for Measurements of Body and Renal Dimensions In Ghana

Clinical application software involve the use of the experimental modeling process and deal with the use of mathematical modeling procedure, which reduces data from empirical measurements to real clinical application software process which provide user interface for implementation. The study is to develop a software that established a relationship between the body indices based on height and weight measurements as input parameters. The modeled equations in the form of graphic user interface can adequately and accurately be used to predict individual body parameters for clinical application. With confident level of 95% for both models equations. The modeled equations have been made available for use during clinical data capturing. These equations has been converted to text-based graphic user interface and visual indicator for use by clinicians. To address data optimisation processes and improve accuracy in patient initial information analysis and reporting.