Graphical User Interface Module Research Articles

PEMANFAATAN CHATBOT MENGGUNAKAN NATURAL LANGUAGE PROCESSING UNTUK PEMBELAJARAN DASAR-DASAR GUI TKINTER PADA BAHASA PEMROGRAMAN PYTHON

Along with the significant development of technology today, websites have become an alternative media as a means of promotion and information dissemination. The website has many facilities that can make things easier for users, one of which is a chatbot. Chatbots or what are commonly known as virtual assistants are able to understand and respond to user requests with the right answers. The use of the Python programming language is quite popular among novice programmers, its simple syntax and clear and logical code means that this language is often used for creating games, websites, prototyping and also for handling big data. One of the modules for creating Graphical User Interface (GUI) applications in Python is Tkinter. In this research, a chatbot will be created which aims to make it easier for users to find solutions to the problems they face when using the Python programming language in the Tkinter GUI module using Natural Language Processing in an interactive way.

Development of Automatic Dual Sequence Control Temporary Immersion Bioreactor Systems for Micropropagation Coelogyne pandurata Lindl.

Coelogyne pandurata Lindl. is an endemic orchid species of Indonesia from East Kalimantan and Papua. It is locally known as the “black orchid” due to the distinctive black coloration on its labellum with intricate green and hairy lines. Unfortunately, the population of this orchid has significantly declined in its natural habitat, rendering it a rare endangered species. Temporary immersion bioreactor systems have been proven to be efficient for endemic plant micropropagation with performance enhancements and innovations. This study aims to develop an optimized bioreactor design and innovate the automatic control performance of temporary immersion bioreactor systems based on previous research. The control system developed consists of three modules, namely Graphical User Interface (GUI) module, Sequence Control (SC) module, and Hardware Interface (HI) module. The GUI module receives information regarding time and duration of immersion and gas exchange, then the information is synchronized by the SC module, which plays the role of starting and stopping the processes, while HI module executes the order of the automatic control system in the immersion and gas exchange process. The developed bioreactor design and control system offer convenience, require less labor, and ensure precise control over the optimum conditions for black orchid micropropagation.

Machine learning models for predicting maximum displacement of triple pendulum isolation systems

Maximum displacement is an important engineering demand of an isolation system, including systems using triple friction pendulum bearings, during earthquakes. This response can be accurately predicted by time-history dynamic analysis of the nonlinear model of the system. However, this analysis approach is time-consuming and requires skillful analysts. To remedy the cumbersomeness, this study developed four machine learning models to confidently predict the important demand using limited number of parameters defining isolation system and earthquake event. Specifically, random forest, gradient boosting regression tree, adaptive boosting, and extreme gradient boosting approaches were employed to develop the machine learning models. The input features to the models include eight constitutive parameters of the triple pendulum bearings in the isolation system and five spectral accelerations at control periods of the average spectrum of the site. The database for constructing the machine learning models was obtained from time-history analysis of lumped-mass nonlinear model of isolation systems subjected to earthquake ground motions. The performance investigation showed that all proposed machine learning models can confidently predict the maximum displacement from the time-history analysis procedure. Among the four models, extreme gradient boosting model possesses the highest accuracy with an average ratio between analysis and predicted values of 0.9999 and a coefficient of variation of 0.017. A graphical user interface module based on this machine learning model was developed for practical uses. The module was written in Python and is free for download at GitHub.

Graphical user interface for the haplotype frequency estimation software Hapl-o-Mat

Population-specific human leukocyte antigen (HLA) haplotype frequencies are an essential basis of advanced algorithms for donor selection in unrelated hematopoietic stem cell transplantation. In 2016, we introduced Hapl-o-Mat, a versatile tool for haplotype frequency estimation based on an expectation-maximization algorithm (https://github.com/DKMS/hapl-o-Mat). Hapl-o-Mat is specifically tailored to the analysis of HLA genes and able to cope with the heterogeneous genotyping data usually found in donor registries. To make Hapl-o-Mat accessible to a wider range of users, we designed a graphical user interface module that considerably facilitates the interaction with the application (https://github.com/DKMS/hapl-o-Mat_GUI). We further provide a precompiled version of Hapl-o-Mat that can be used on Windows personal computers without dependency on additional software libraries (https://github.com/DKMS/hapl-o-Mat_WinBin). We are confident that these new, user-oriented features will encourage more researchers to apply Hapl-o-Mat to their data, thereby increasing knowledge and public availability of population-specific HLA haplotype frequencies.

Development of a web-based radiological emergency preparedness system for nuclear accidents

A radiological emergency preparedness system in Korea has been developed to predict the behavior of radioactive material released into the environment and estimate the dose assessment for humans in case of a nuclear accident in neighboring countries, including Korea. The system is composed of atmospheric dispersion, marine dispersion, and dose assessment models, along with a graphic user interface module. It can evaluate the dispersion patterns of radionuclides in the air and ocean, and the short-term and long-term radiological effects of a nuclear accident on humans. It has been constructed on the web to allow users to access it easily and simply through an intrinsic IP address, username, and password. The atmospheric dispersion, marine dispersion, and dose assessment models have already been validated by model-to-model comparisons and measurements from the Chernobyl and Fukushima accidents. The described system is now in operation for government and nuclear-related organizations in Korea in case of a nuclear accident.

Performance Evaluation of Multi Radio Integrated Navigation System under Navigation Warfare in M&S Software

In this paper, a modelling and simulation software is designed in order to evaluate the performance of a multi radio integrated navigation system and the performance evaluation results are presented. The modelling and simulation software is divided into navigation algorithm module, navigation environment generation module, and graphic user interface module with performance evaluation algorithm. In order to show the validity of the design, the modelling and simulation software for GPS, KNSS, Loran-C, eLoran, and DME/VOR is implemented in C++ under Windows OS environment. Accuracy, integrity, continuity and availability are evaluated for the multi radio integrated navigation system in the modelling and simulation software. The performance evaluation results show that the designed modelling and simulation software can be effectively used for the performance evaluation of multi radio integrated navigation systems.

A Toolkit for Performing FEMA P-695 Evaluations

The FEMA P-695 Methodology offers a procedure for evaluating the collapse performance of seismic force resisting systems. The Methodology is necessarily complex and analysis-intensive. To manage collapse evaluation data and expedite nonlinear dynamic analyses, a Toolkit was created that streamlines the process using seven graphical user interface modules. The modules step the user through the FEMA P-695 process, culminating in a summary table of the evaluation results. The Toolkit is beneficial for engineers with varying levels of familiarity with the FEMA P-695 process. For those familiar with the process, the Toolkit provides a simple procedure for organizing performance group data and evaluation results while reducing the risk of errors. It also acts as an educational tool for stepping new users through the intricacies of the process. The Toolkit is demonstrated using an example performance group of special reinforced masonry shear wall buildings.

Implementation of Human Robot Interaction on UDOO Board

<p>Advanced Robot for Interactive Application (ARIA) is a Humanoid Robotic Head which is capable of mimicking Various Human Facial Expressions. Much work has been done on Implementation of Humanoid Robotic Head with High end systems and Personal Computers (PCs). This paper presents the essential elements necessary for the implementation of Advanced Robot for Interactive Application (ARIA) on UDOO Board. The main aim of the Project was to develop a control system and Graphical User Interface (GUI) for ARIA to deliver real time human facial expressions using embedded board. Humanoid Robotic Head which is capable of mimicking Human Facial Expressions in Real time. Implementation of ARIA involved careful selection of Embedded Board, actuators, control algorithms, motor drivers, operating system, communication protocols, and programming languages. The Board contains a Quad Core A9 Processor and a Controller embedded on it, which are interconnected. In this project the controller is dedicated to control micro servo motors which are controlling eyes, eyebrows and eyelids movements whereas the Processor Handles the Dynamixel motors, GUI and different communication modules.</p>

An extensible framework for smart engineering simulation software: its architecture, implementation and applications

The industries are seeking smarter simulation tools to automatize the modeling work to alleviate the difficulties of using the numerical simulation techniques. The present work designs and implements an extensible framework to facilitate the development and deployment of the smart application-oriented simulation softwares. The kernel of the framework is the data management module which treats the various data in a unified approach. The geometry modeling module, the meshing module, the analysis module and the visualization module manipulate the data and the graphical user interface module assists in manipulating and displaying the data interactively. Two typical applications, i.e., the software for computing and analyzing the load-carrying capabilities of slew bearings and the software for designing the transmission tower, are presented for demonstrations.

ST‐analyzer: A web‐based user interface for simulation trajectory analysis

Molecular dynamics (MD) simulation has become one of the key tools to obtain deeper insights into biological systems using various levels of descriptions such as all-atom, united-atom, and coarse-grained models. Recent advances in computing resources and MD programs have significantly accelerated the simulation time and thus increased the amount of trajectory data. Although many laboratories routinely perform MD simulations, analyzing MD trajectories is still time consuming and often a difficult task. ST-analyzer, http://im.bioinformatics.ku.edu/st-analyzer, is a standalone graphical user interface (GUI) toolset to perform various trajectory analyses. ST-analyzer has several outstanding features compared to other existing analysis tools: (i) handling various formats of trajectory files from MD programs, such as CHARMM, NAMD, GROMACS, and Amber, (ii) intuitive web-based GUI environment--minimizing administrative load and reducing burdens on the user from adapting new software environments, (iii) platform independent design--working with any existing operating system, (iv) easy integration into job queuing systems--providing options of batch processing either on the cluster or in an interactive mode, and (v) providing independence between foreground GUI and background modules--making it easier to add personal modules or to recycle/integrate pre-existing scripts utilizing other analysis tools. The current ST-analyzer contains nine main analysis modules that together contain 18 options, including density profile, lipid deuterium order parameters, surface area per lipid, and membrane hydrophobic thickness. This article introduces ST-analyzer with its design, implementation, and features, and also illustrates practical analysis of lipid bilayer simulations.

XMapTools: A MATLAB©-based program for electron microprobe X-ray image processing and geothermobarometry

XMapTools is a MATLAB©-based graphical user interface program for electron microprobe X-ray image processing, which can be used to estimate the pressure–temperature conditions of crystallization of minerals in metamorphic rocks. This program (available online at http://www.xmaptools.com) provides a method to standardize raw electron microprobe data and includes functions to calculate the oxide weight percent compositions for various minerals. A set of external functions is provided to calculate structural formulae from the standardized analyses as well as to estimate pressure–temperature conditions of crystallization, using empirical and semi-empirical thermobarometers from the literature. Two graphical user interface modules, Chem2D and Triplot3D, are used to plot mineral compositions into binary and ternary diagrams. As an example, the software is used to study a high-pressure Himalayan eclogite sample from the Stak massif in Pakistan. The high-pressure paragenesis consisting of omphacite and garnet has been retrogressed to a symplectitic assemblage of amphibole, plagioclase and clinopyroxene. Mineral compositions corresponding to ~165,000 analyses yield estimates for the eclogitic pressure–temperature retrograde path from 25kbar to 9kbar. Corresponding pressure–temperature maps were plotted and used to interpret the link between the equilibrium conditions of crystallization and the symplectitic microstructures. This example illustrates the usefulness of XMapTools for studying variations of the chemical composition of minerals and for retrieving information on metamorphic conditions on a microscale, towards computation of continuous pressure–temperature-and relative time path in zoned metamorphic minerals not affected by post-crystallization diffusion.

재구성된 그래픽 모델을 이용한 원격제어

일반적으로 마스터/슬레이브 원격제어 시스템에서 작업자는 원격에서 슬레이브를 제어하기 위하여 카메라 영상 같은 시각 정보를 이용하는 경우가 많은데, 많은 데이터 양으로 인하여 원격지의 영상 정보에 지연이 발생할 수 있고 카메라 위치에 따라 영상 정보가 제한되거나 불완전하여 제어가 어려운 경우가 생길 수 있다. 카메라 영상을 이용한 원격제어 시스템의 이러한 문제점을 해결하기 위하여 본 논문에서는 영상 정보 대신에 3차원 재구성 그래픽 모델을 이용한 원격제어 시스템을 제안한다. 제안된 원격제어시스템은 로봇 제어 모듈, 힘반향 조이스틱을 이용한 마스터 모듈, 그래픽유저인터페이스모듈로 이루어져 있는데, 여기서 그래픽유저인터페이스모듈은 원격지에서 전달된 적은 양의 센싱 데이터를 이용하여 3차원으로 재구성된 그래픽 모델을 작업자에게 제공해 준다. 제안된 원격제어 시스템은 펙인홀(peg-in-hole) 조립 작업을 이용하여 그 효과가 검증되었다. In typical master/slave teleoperation systems, a human operator generally manipulates the master to control the slave through the visual information like camera image. However, the operator may get into trouble due to the limited visual information depending on the camera positions and the delay on the visual information because of low communication bandwidth. To cope with this inherit problem in the camera-based teleoperation system, this paper presents a teleoperation system using a reconstructed graphic model instead of the camera image. The proposed teleoperation system consists of a robot control module, a master module using a force-reflective joystick, and a graphic user interface (GUI) module. The graphic user interface module provides the operator with a 3D model reconstructed using a small set of sensing data received from the remote site. The proposed teleoperation system is evaluated through a peg-in-hole assembly task.

A distributed Web-based framework for helicopter rotor blade design

In Multidisciplinary Design Optimization (MDO) a wide variety of tools and techniques have been developed to assist in the analysis and optimization of highly complex systems. This paper focuses on a Web-based MDO framework that could be applied to MDO problems by combining rotorcraft blade analysis data and processing cost manufacturing data. The framework is based on a Web environment platform and is implemented in Java Programming Language. The system includes: an analysis code module, a graphical user interface (GUI), a CAD configuration module and a manufacturing process cost module. All modules are connected to the database and a centralized database management system (DBMS) that controls all input and output data. The analysis code module utilizes: initial sizing, airfoil configuration, airfoil coordinates, 2Kfoil, performance, and trim programs. The GUI module is developed from JSP and HTML code. By using a Java Database Connection component, data connection access between the GUI and database is possible. This framework aims to simultaneously support the integration of: legacy code, workflow management, parallel computing and fault tolerance. The application focuses on ease of use and access through Internet browser tools within a local intranet zone. Based on this framework, we can easily predict flight characteristics by using a flight simulation program, and pre-test real scenarios.

Teaching and learning computer science sorting algorithms with mobile devices: A case study

AbstractIn this article, we present a semester‐long study on using smartphone devices in computing engineering education. We developed Sortko, an Android‐based smartphone application for learning sorting algorithms, an important undergraduate computer science topic. The application consists of four main components—the module for interactive sorting, the scaffolding module, the motivational module, and the graphical user interface module, each with a distinct role of helping students in learning sorting algorithms. Our research methodology included data collection with administered two surveys, collected exam results and recorded application usage data. Analysis of the collected data shows our approach is an effective way of learning sorting algorithms. © 2012 Wiley Periodicals, Inc. Comput Appl Eng Educ 21:E41–E50, 2013

A new fluoroscopy-free navigation device for distal interlocking screw placement

During the treatment of tibia fracture with interlocking nails, the most uncomfortable procedure is for an orthopaedic surgeon to find the location for the distal locking screws. In this study, a fluoroscopy-free non-contact navigation device was developed for the placement of distal locking screws in the tibia intramedullary nailing. This device utilizes a 3D digitization arm integrated with spatial coordinate registration module, graphical user interface module and sound-guided navigation module. The 3D digitization arm, a five-DOF passive robotic arm, was used to register the spatial coordinates of proximal and distal landmarks just before placement of the nail. The registered coordinates were then incorporated with the coordinates of the proximal landmarks after nail placement to calculate the coordinate transformation matrix. The transformed spatial coordinates of the distal screw holes were then computed in real time for interlocking nail navigation. A sound-guided navigation module was designed in which a sound with different tones and intermittence frequencies was produced, as the probe of the digitization arm navigates toward the location of distal screw holes. No intra-operative fluoroscopy was required. In vitro assessment was performed successfully with a donor bone, and a clinical case of a young male with tibia fracture was also carried out in the operating theatre. Operation time, distal screw insertion, total radiation time and accuracy of the distal interlocking screw placement were measured. The surgery was conducted under sterile conditions without complication, and the clinical course was smooth with prompt bone healing.

SpidersRUs: Creating specialized search engines in multiple languages

While small-scale search engines in specific domains and languages are increasingly used by Web users, most existing search engine development tools do not support the development of search engines in languages other than English, cannot be integrated with other applications, or rely on proprietary software. A tool that supports search engine creation in multiple languages is thus highly desired. To study the research issues involved, we review related literature and suggest the criteria for an ideal search tool. We present the design of a toolkit, called SpidersRUs, developed for multilingual search engine creation. The design and implementation of the tool, consisting of a Spider module, an Indexer module, an Index Structure, a Search module, and a Graphical User Interface module, are discussed in detail. A sample user session and a case study on using the tool to develop a medical search engine in Chinese are also presented. The technical issues involved and the lessons learned in the project are then discussed. This study demonstrates that the proposed architecture is feasible in developing search engines easily in different languages such as Chinese, Spanish, Japanese, and Arabic.

Writing Research Software in a Large Group for the NEMO Project

The nanoelectronic modeling (NEMO) program is the result of a three-year development effort involving four universities and the former Corporate Research and Development Laboratory of Texas Instruments, now Applied Research Laboratory, Raytheon TI Systems, to create a comprehensive quantum device modeling tool for layered semiconductor structures. Based on the non-equilibrium Green function formalism, it includes the effects of quantum charging, bandstructure and incoherent scattering from alloy disorder, interface roughness, acoustic phonons, and polar optical phonons. NEMO addresses the diverse needs of two different types of users: (i) the engineer/experimentalist who desires a black-box design tool and (ii) the theorist who is interested in a detailed investigation of the physics. A collection of models trade off physical content with speed and memory requirements. Access to this comprehensive theoretical framework is accommodated by a Graphical User Interface (GUI) that facilitates device prototyping and in situ data analysis. We describe a hierarchical software design that allows rapid incorporation of theory enhancements while maintaining a user-friendly GUI, thus satisfying the conflicting criteria of ease of use and ease of development. The theory and GUI modules share data structures that define the device structure, material parameters, and simulation parameters. These data structures may contain general data such as integer and real numbers, option lists, vectors, matrices and the labels for both batch and GUI operation. NEMO generates the corresponding GUI elements at run-time for display and entry of these data structures.

Development of User-Friendly Structural Design System for Pressure Vessels

In this paper we describe a new user-friendly structural design system for pressure vessels, which is based on finite element stress analyses. The basic concept of the developed system is to minimize input data required for the finite element analysis and to perform the analysis quickly. To realize this, the system is equipped with the finite element modeling module based on fuzzy knowledge processing, the input data generation module, the finite element analyzer, the graphic user-interface module for analysis results, and the stress evaluation module. Fundamental performance of the present system is clearly demonstrated through the analysis of a top nozzle.

Hybrid modeling in meteorological applications. Part II: An operational system

In this paper a real-time, operational weather prediction system is described which is based on the concepts of hybrid modeling, combining numerical forecasting techniques with user-interactive, graphics based post-processing tools. The system consists of 5 major components: an automated data reception and decoding module which receives raw surface and radiosonde observational data via a satellite communication link; a geographic information module structured for meterological applications; a numerical prediction module running in a fully automated mode; a display module for meteorological charts; a user-interactive GUI (graphical user interface) module whose database structure permits interaction between, and display as well as manipulation of, terrain and weather characteristics. The whole system is PC-based. Its major current applications are in support of winter highway maintenance operations. The system can easily be customized for other applications.

Development of User-Friendly Structural Design System for Pressure Vessels.

This paper describes a new user-friendly structural design system for pressure vessels which is based on finite element stress analyses. A basic concept of the developed system is to minimize the input data required for the finite element analyses and to perform the analysis quickly. To realize this, the system consists of the finite element modeling module based on fuzzy knowledge processing, the input data generation module, the finite element analyzer, the graphical user-interface module for analysis results and the stress evaluation module. Fundamental performances of the present system are clearly demonstrated through the analysis of a top nozzle.