Graphics Capabilities Research Articles

Analytical basis of the contracting enterprise's activity in the modern digital environment

In the article on the basis of the former general-methodical basis where the methodology of construction developer and digital administration by construction organizations is combined; scientific and applied bases of VIM-technologies; "Geometric econometrics"; modern methods of formalized modeling and adjustment of the cycle of development projects; the latest approaches to the formation of organizational structures for the management of construction production with the involvement of digital technologies. The methodological basis of the study was based on a productive combination of visual and graphical capabilities of BIM-technology, digital control technologies, methods of graph-analytical visualization (provided through the use of "geometric econometrics"). The resulting methodological apparatus allows the use of BIM-technologies in the organization of construction in fundamentally new positions - not only as a means of graph-analytical structuring of physical volumes of contract work, but, above all, as a modern basis for variable organizational and technological modeling of works and stages of construction. project and as a tool for managing the cycle and environment of the development project.
 It is substantiated and proved that when forming the analytical basis of the construction enterprise in modern digital space it is expedient to take into account the vector of improvement of management models in the direction from single-purpose to multi-purpose, from deterministic to deterministic-stochastic, from worc-arc model (robot-arc). to the model of the synthetic type “worc & matrix” “work & top”. The successful operation and development of construction organizations participating in projects in the digital environment requires a sound approach to the formation of their competitive strategy as executors. The article highlights that the concept of competitive strategy of the contractor is a set of rules and techniques that should guide the construction organization, ready for change in its activities through the involvement of digital management format: integral elements of the process of digital transformation in construction are changes in activities of construction organizations, which consist in a full-scale digital transformation based on the company's digital development strategy. Implementing the measures envisaged by the digital strategy requires an integrated approach that includes the company's development in various areas, but understanding the trends of the digital environment and construction market will allow companies to rationally use existing digital potential and effectively identify ways to further digital development of construction companies.

Language mechanisms of political campaigning among the youth in the 2019 presidential election in Ukraine

This article looks into the linguistic mechanisms designed to establish communication between the presidential candidate Volodymyr Zelens’kyi and the youth in the 2019 Ukrainian election campaign. The young voters, who are less familiar with the political, economic, and social processes in the country due to their age and little life experience are at risk of falling victim to political technologists. The article examines Zelens’kyi’s political projects on Facebook, Instagram, YouTube, Tele-gram, and Viber channels, the Twitter page of his campaign stuff, and the personal Facebook page. Aside from technological techniques, the paper focuses on the discourse of the election campaign built by the technologists to win the favor of young voters. It examines a linguistic component of the election rhetoric of this particular political project and reconstructs the main messages addressed to the youth. A complex of special linguistic methods has been applied to the texts,e.g., content analysis, discourse analysis, and critical discourse analysis, which helps “to deci-pher” the ideological components. Successfully selected channels, practices, and methods of virtual communication, “cor-rect” messages, and manipulative methods of the language use of the election campaign waged by Zelens’kyi, e.g., the clash of two generations theme, were converted into the votes “in favour” for the previously inactive electoral group. Convergence tactics were used to adjust the language to the younger generation. These in-clude the use of vocabulary from the Internet and the latest technologies, borrowings, informal youth forms of address, slang forms, language games, graphic capabilities of electronic space, in particular hashtags, stickers, and emojis. Keywords: communication, social networking, targeting, Facebook, vulgarisms, slang.

Building Empathy: Exploring Digital Native Characteristic to Create Learning Instruction for Learning Computer Graphic Design

Technology leading to massive changes, include the way of learning. As the digital natives, students have different ways of learning, especially in courses that use technological devices, such as computers graphic design. Exploring information by building empathy from a student's perspective, can give more authentic information and find opportunities for designing better learning instructional that more needed-based. The purpose of this study is to explore student’s characteristics, and find criteria of learning instructional that needed-based and future-orientated. This is qualitative research, using case-study through interviews, focus group discussion, and an instrument of empathy map, with qualitative descriptive analysis techniques. The study showed that students have no difficulty in accessing and using complex technology, this is in accordance with their characteristics as digital native. Students not only need to develop computer graphics capabilities technically, but also need to develop ability operating software in design practice. This is where other study skills related as designer and creating learning environment that suits for students are needed. Empathy framework bring positive impact to find new learning objectives and creating learning instruction. This finding suggests following future research on instructional learning that stimulate student’s ability that concentrate on designer's skills in their future.

About Technology-Based “Sociology” Software for Knowledge Development

To analyze data sets, sociologists use various methods of mathematical and statistical data processing, which allows comprehensive analysis of the collected social information. A specialized software application is used in sociology. However, there are not many tools for carrying out a sociological research through all its stages. Sociologists often use different software or several software products. However, these programs are quite complex, and therefore their application is possible with special knowledge after a thorough study of the software product or with the involvement of the relevant specialists. Analysis of the possibilities of various programs for creating and processing sociological data shows that their choice is made by researchers on the basis of the ease of learning the program, the convenience of data management, the speed of computation, and graphic capabilities. In 2014, Belashov developed the Russian program for the input and processing of sociological research data “Sociology,” which allows for complete automation of the process of creating sociological data.

Zetcil: Game Mechanic Framework for Unity Game Engine

Games are interactive multimedia products that require programming logic and graphic design capabilities in the development process. Game development using Unity Game Engine has become a primary subject in the Multimedia Engineering Technology study program, School of Applied Sciences, Telkom University. In the initial observation, it was found that more than 33% of students have difficulties in making a game using the C# language for Unity. The students understand the Game Design Pattern logic but having difficulty when applying it into programming codes. This research proposes Zetcil, a Game Mechanic Framework that simplifies the game development process for the Unity Game Engine. This framework turned most of the text-based programming commands into visual properties. Based on research for two years, it concluded that the Zetcil could increase 36% of student's confidence to develop games prototype rapidly.

Improving Bayesian statistics understanding in the age of Big Data with the bayesvl R package

Abstract The exponential growth of social data both in volume and complexity has increasingly exposed many of the shortcomings of the conventional frequentist approach to statistics. The scientific community has called for careful usage of the approach and its inference. Meanwhile, the alternative method, Bayesian statistics, still faces considerable barriers toward a more widespread application. The bayesvl R package is an open program, designed for implementing Bayesian modeling and analysis using the Stan language’s no-U-turn (NUTS) sampler. The package combines the ability to construct Bayesian network models using directed acyclic graphs (DAGs), the Markov chain Monte Carlo (MCMC) simulation technique, and the graphic capability of the ggplot2 package. As a result, it can improve the user experience and intuitive understanding when constructing and analyzing Bayesian network models. A case example is offered to illustrate the usefulness of the package for Big Data analytics and cognitive computing.

Libsbmljs—Enabling web-based SBML tools

The SBML standard is used in a number of online repositories for storing systems biology models, yet there is currently no Web-capable JavaScript library that can read and write the SBML format. This is a severe limitation since the Web has become a universal means of software distribution, and the graphical capabilities of modern web browsers offer a powerful means for building rich, interactive applications. Also, there is a growing developer population specialized in web technologies that is poised to take advantage of the universality of the web to build the next generation of tools in systems biology and other fields. However, current solutions require server-side processing in order to support existing standards in modeling. We present libsbmljs, a JavaScript/WebAssembly library for Node.js and the Web with full support for all SBML extensions. Our library is an enabling technology for online SBML editors, model-building tools, and web-based simulators, and runs entirely in the browser without the need for any dedicated server resources. We provide NPM packages, an extensive set of examples, JavaScript API documentation, and an online demo that allows users to read and validate the SBML content of any model in the BioModels and BiGG databases. We also provide instructions and scripts to allow users to build a copy of libsbmljs against any libSBML version. Although our library supports all existing SBML extensions, we cover how to add additional extensions to the wrapper, should any arise in the future. To demonstrate the utility of this implementation, we also provide a demo at https://libsbmljsdemo.github.io/ with a proof-of-concept SBML simulator that supports ODE and stochastic simulations for SBML core models. Our project is hosted at https://libsbmljs.github.io/, which contains links to examples, API documentation, and all source code files and build scripts used to create libsbmljs. Our source code is licensed under the Apache 2.0 open source license.

Stage in the Spotlight and Paradoxes of the Profession Artist, Light, Theatre

Nowadays, the lighting designer is becoming one of the leading figures in forming of the concept of theatrical scene design. Lighting technologies with great potential of illumination, colour and graphic capabilities allowed the profession to occupy the leading positions in the space of any object. Today’s orientation of the whole visual culture to staginess alongside with avant-garde inventions of stage designers in the early 20th century have formed the main artistic trends of this art. Nowadays, the modernistic findings of the past are supplemented by innovative multimedia technologies. Visual techniques worked out in stage shows have seriously affected the people’s attitude towards the stage space. They have made theatrical performance very dynamic by using lighting and media effects, sufficiently widened the scope of visual and expressive abilities of an artist. The new paradigm of light as an active tool of form-making allowed modelling the space by means of lighting technologies. Stage light has become a form possessing great emotional power inseparably associated with the dramatic composition of performance. At the same time, the goal of a lighting designer cooperating with theatre designers and costume designers should permanently lead the audience to catharsis and innovative light engineering techniques play a great role in it. Naturally, such innovations in theatre art made it necessary to correct the programmes of training of universal specialists required in this area. Professional education of a theatre lighting designer, apart from knowledge of technology and basics of scenography, requires serious artistic training. The methodological experience obtained in scenography training of future designers in the Environment Design sub-department of S.G. Stroganov MGHPA may provide an example of new design approaches to solving of comprehensive problems of scenography. Design training techniques used in the sub-department include the method of environmental approach, the method of script modelling using a virtual design model and the method of conceptual design.

Porthole and Stormcloud: Tools for Visualisation of Spatiotemporal M/EEG Statistics.

Electro- and magneto-encephalography are functional neuroimaging modalities characterised by their ability to quantify dynamic spatiotemporal activity within the brain. However, the visualisation techniques used to illustrate these effects are currently limited to single- or multi-channel time series plots, topographic scalp maps and orthographic cross-sections of the spatiotemporal data structure. Whilst these methods each have their own strength and weaknesses, they are only able to show a subset of the data and are suboptimal at articulating one or both of the space-time components.Here, we propose Porthole and Stormcloud, a set of data visualisation tools which can automatically generate context appropriate graphics for both print and screen with the following graphical capabilities: Animated two-dimensional scalp maps with dynamic timeline annotation and optional user interaction; Three-dimensional construction of discrete clusters within sparse spatiotemporal volumes, rendered with 'cloud-like' appearance and augmented by cross-sectional scalp maps indicating local maxima. These publicly available tools were designed specifically for visualisation of M/EEG spatiotemporal statisticalparametric maps, however, we also demonstrate alternate use cases of posterior probability maps and weight maps produced by machine learning classifiers. In principle, the methods employed here are transferrable to visualisation of any spatiotemporal image.

Topological Data Models for Virtual Management of Hidden Facilities Through Digital Reality

The integral management of facilities located in the subsoil or hidden in walls and ceilings entails numerous challenges in terms of accurate positioning and data update. We describe the characteristics of the information system designed to act in the life cycle of facilities networks. We focus on the data model design, whose core connects topologically the 3D geometric objects representing facilities components. This scheme enables CRUD (Create, Read, Update, Delete) operations directly on the 3D objects of the digital reality, and through desktop or mobile devices. The system is implemented in a client-server architecture. The server maintains the complete topological data model in a spatial database. This model is redesigned and replicated in the memory of any client device with graphical capabilities. Conventional computers can enable Virtual Reality, while mobile devices can access ubiquitously surrounding facilities through Augmented Reality. In addition, the design of a third data model allows the exchange of this information using a standard format such as CityGML. Current facilities networks have been used to test the CRUD operations functionality.

ЗАСТОСУВАННЯ ІНФОРМАЦІЙНИХ ТЕХНОЛОГІЙ ДЛЯПОБУДОВИТА АНАЛІЗУГРАФІКІВ У ПРОЦЕСІ ВИВЧЕННЯ КУРСУ ЗАГАЛЬНОЇ ФІЗИКИ

The article considers the method of using information technology tools for the construction and analysis of graphs in the process of studying the course of general physics. Among the significant number of computer tools for plotting functions, special attention is paid to software that allows to process laboratory tasks results in physics effectively and graphically, to perform calculations and build on their basis graphs of dependencies while solving tasks, to demonstrate models of physical phenomena on lectures. Using the example of laboratory work on the capacitance of the capacitor determination, it is shown that as a result of using the software Graph for processing experimental data reduces the time of their processing and the error of the calculation results. The construction of function graphs of the studied quantities also contributes to a fuller understanding of the physical process, which is considered in the task. The method of using the graphical capabilities of the Excel spreadsheet and plotting functions based on the analytical solution of the problem are considered. The construction of dependency graphs of physical quantities in real time is considered exemplified by oscillations of a mathematical pendulum, which are modeled using SimPHY software. Real-time graphs can be built by processing physical sensor data of various types using the Arduino hardware computing platform and SFMonitor software. Carrying out laboratory work in this way makes it possible to conduct a real physical experiment simultaneously with the display of its results on the screen, to observe the relationship between specific changes made to the conditions of the experiment and their graphical display. The use of 3D graphs is considered as in the case of visualization of three-dimensional vector fields in Matlab: force lines of electric and dipole field strength and potential of electric dipole field. For 3D graphics, the use of height and color gradients significantly increases the visibility of images. Graphic method in combination with information technology has a very high potential in the implementation of the main objectives of teaching physics.

Description of large deformations of continuum and shells and their visualisation with Mathematica

A proper description of large deformation of continuum or shell requires dealing with curved spaces and application of tensor analysis and distinguishing of covariant and contravariant bases. Thanks to symbolic computations and visualization capabilities of the Mathematica system, this task can be carried out in a straightforward manner. This has been already discussed in [9] and [10]. This paper is a further extension of these researches. First, it will be shown that the deformation is indeed changing a curvature of the considered space. Next, there will be shown how the Cartesian basis of the undeformed flat space splits into the covariant and contravariant ones and this basis changes in the space. This makes it possible to explain why we have to introduce covariant derivatives and Christoffel symbols, for example. This is important in the case of the optical analysis of large deformations of thin-wall structures. Moreover, it is possible to easily explain that strain tensor is defined with a change of metric tensor. It also helps to show the idea of material (Lagrangian) and spatial (Eulerian) description of the deformation and the motion, and avoid misunderstandings in this matter. Everything is visualised with 3D graphical capabilities and interactive manipulation of the plots provided within the Mathematica system. This paper can also be a useful inspiration both in teaching and learning of continuum mechanics, the theory of shells and thin- wall structures. This work has been presented at the conference “4th Polish Congress of Mechanics, 23rd International Conference on Computer Methods in Mechanics” PCM-CMM-2019 in Krakow.

Virtual Reality for Information Visualization Might Just Work This Time.

In the 1990's, Virtual Reality (VR) was discredited as a means of presenting Information Visualization (InfoViz). Mercurio and Erickon (Mercurio et al., 1990), noted several problems required to be overcome before the potential of VR for scientific visualization could be realized: low image resolution, user navigation, small tracking volume, low tracker update rate, and poor user interfaces. Even with this negative reaction, a number of researchers continued pursuing this line of investigation (for example, the work of Bowman et al., 2003). As hardware and graphics techniques improved, plausible applicability of VR to InfoViz was slowly being realized. Currently, Immersive Analytics (Marriott et al., 2018) is an emerging direction for the use of VR and other immersive technologies to improve understanding of visualization problems. There are a number of factors that influence my belief that VR supported InfoViz can be achieved. Firstly, the hardware is so much better today; this is regarding robustness, availability, and cost. The software support has greatly improved in recent years for VR and InfoViz. Because of these two reasons, far more people can investigate this problem today. Visualization is more advanced from the 1990s in their techniques and the problem domains they are applied to. There have been a number of successes for InfoViz. Still there are domains that are challenging for traditional visualization techniques, such as high dimensional data (Tang et al., 2016). VR is a potential tool for these challenging domains by allowing the user to visualize and interact with the data with new and different techniques (Sherman and Craig, 2018). A major reason VR might be able to support InfoViz is the rise of commercial VR systems. These systems are now commodity devices designed for home use. As with graphics hardware, VR hardware is benefiting from being a large-scale product. Current VR systems are complete. These systems have integrated HMDs, tracking systems, and handheld input devices (Anthes et al., 2016). Today there are well-designed input devices that are part of the commercial systems. What is important to realize is they are reliable and function with minimal set up. The computers today have much better graphics capability than ever before, and Table 1 provides an overview of the improvement of graphics engines over the decades. In comparison to previous VR systems, today's systems are inexpensive. Current systems complete systems (including computing) are approximate $(US) 3K. Five-six years ago1 an equivalent system would cost about $20K, and 20 years ago2 about $1 million. Table 1 Review of graphics engine throughput.

Design of Interactions for Handheld Augmented Reality Devices Using Wearable Smart Textiles: Findings from a User Elicitation Study

Advanced developments in handheld devices’ interactive 3D graphics capabilities, processing power, and cloud computing have provided great potential for handheld augmented reality (HAR) applications, which allow users to access digital information anytime, anywhere. Nevertheless, existing interaction methods are still confined to the touch display, device camera, and built-in sensors of these handheld devices, which suffer from obtrusive interactions with AR content. Wearable fabric-based interfaces promote subtle, natural, and eyes-free interactions which are needed when performing interactions in dynamic environments. Prior studies explored the possibilities of using fabric-based wearable interfaces for head-mounted AR display (HMD) devices. The interface metaphors of HMD AR devices are inadequate for handheld AR devices as a typical HAR application require users to use only one hand to perform interactions. In this paper, we aim to investigate the use of a fabric-based wearable device as an alternative interface option for performing interactions with HAR applications. We elicited user-preferred gestures which are socially acceptable and comfortable to use for HAR devices. We also derived an interaction vocabulary of the wrist and thumb-to-index touch gestures, and present broader design guidelines for fabric-based wearable interfaces for handheld augmented reality applications.

CHNOSZ: Thermodynamic Calculations and Diagrams for Geochemistry

Thermodynamic calculations are an essential tool for many areas of geochemistry. Thermodynamics provides a framework for the quantitative description and prediction of the solubilities and relative stabilities of different minerals, metal transport in hydrothermal fluids, and geobiochemical reactions that drive microbial metabolism and contribute to the compositional variation of proteins. Accessible and up-to-date software and databases are important for the development and reproducible application of thermodynamic models. CHNOSZ is a free package for R that has been frequently updated since its first release in 2008. The package provides an integrated set of functions to calculate the standard molal thermodynamic properties and chemical affinities of reactions. It uses the graphical capabilities of R to produce high-quality chemical activity diagrams for aqueous species and predominance diagrams including Eh-pH (Pourbaix) and logfO2-T diagrams. The extensive database utilizes the well-known revised Helgeson-Kirkham-Flowers (HKF) equations for aqueous species. Recent additions to the database include the Berman equations for minerals, the Deep Earth Water model, which extends the applicability of the HKF equations to higher pressures, and the Akinfiev-Diamond model for aqueous nonelectrolytes. The package comes with many types of documentation, including technical help pages with short code examples, longer code demos, and in-depth vignettes combining code, text and graphics, giving users a wide array of starting points for their own research. This paper provides a concise overview of the package and illustrates the new features using examples selected from the literature. Although the package does not provide a complete chemical speciation model, numerous examples from the package demonstrate the ease of reproducing selected published calculations and sometimes identifying issues with existing datasets and models.

Abstract 5114: Deep phenotype extraction to facilitate cancer research: Extending DeepPhe to ovarian cancer

Abstract Introduction: To facilitate research on personalized cancer medicine, we developed the DeepPhe system for deep phenotype extraction of computable longitudinal summaries from electronic medical records (EMR). DeepPhe provides an advanced natural language processing (NLP) pipeline capable of extracting cancer details from clinical notes, storage and export of the resulting details, and a visualization tool with interactive graphical capabilities at both the cohort and individual patient levels. Our initial software release included training and evaluation of breast cancer specific attributes (Savova et al. Cancer Research 2017). As part of our iterative process of testing and improving DeepPhe, we have recently expanded to ovarian cancer. Methods: We used DeepPhe to extract ovarian cancer characteristics from EMR, including tumor location(s), laterality, temporality, and clinical and pathologic components of stage of disease at diagnosis. Tool performance was quantified by F1 scores, defined as the harmonic mean between precision and recall, with F1=1.00 indicating perfect performance, compared to the gold standard of information from manual data abstraction. Results: Among a test set of 26 primary epithelial ovarian cancer cases with 1,675 annotated notes from UPMC, the overall F1 was 0.9327. F1 scores for attributes of tumor location, laterality, and temporality were 0.8621, 0.5000, and 1.000, respectively. Performance was perfect for all clinical stage of disease components (T, N, and M), while pathologic components scored 0.7879, 0.7692, and 0.9200, respectively. Evaluation of 16 additional UPMC cases is currently underway and ovarian cancer specific attributes are being expanded to include degree of surgical cytoreduction (debulking) and presence of residual disease. Generalizability will be further assessed by evaluating DeepPhe’s performance on EMR for 427 ovarian cancer cases from the Vanderbilt University Medical Center. Conclusions: Our results demonstrate that DeepPhe can be adapted to additional cancer types without losing good-to-excellent performance characteristics. While some concepts, such as laterality, remain challenging for extraction, current results are considered adequate for semi-automated abstraction approaches. Further refinement and expansion to additional clinical and tumor characteristics, including genomics, tumor biomarkers, treatments, and patient outcomes are currently underway. Open-source and freely available for research use, DeepPhe tools (https://github.com/DeepPhe/DeepPhe-Release) can facilitate large-scale extraction of detailed information from EMR systems for research on cancer. Citation Format: Alicia Beeghly-Fadiel, Jeremy L. Warner, Sean Finan, James Masanz, Harry Hochheiser, Guergana Savova. Deep phenotype extraction to facilitate cancer research: Extending DeepPhe to ovarian cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 5114.

COMPUTER GAMES FOR INTEGRATED INFORMATICS AND MATHEMATICS LESSONS

The article discusses the psychological and pedagogical problems of using computer games in school education. Graphic and animation capabilities of visual programming language Scratch, as well as computer games for educational purposes as a means of increasing cognitive interest and educational motivation of students to study informatics and mathematics are demonstrated.

NIMH MonkeyLogic: Behavioral control and data acquisition in MATLAB

BackgroundComputerized control of behavioral paradigms is an essential element of neurobehavioral studies, especially physiological recording studies that require sub-millisecond precision. Few software solutions provide a simple, flexible environment to create and run these applications. MonkeyLogic, a MATLAB-based package, was developed to meet these needs, but faces a performance crisis and obsolescence due to changes in MATLAB itself. New methodHere we report a complete redesign and rewrite of MonkeyLogic, now NIMH MonkeyLogic, that natively supports the latest 64-bit MATLAB on the Windows platform. Major layers of the underlying real-time hardware control were removed and replaced by custom toolboxes: NIMH DAQ Toolbox and MonkeyLogic Graphics Library. The redesign resolves undesirable delays in data transfers and limitations in graphics capabilities. ResultsNIMH MonkeyLogic is essentially a new product. It provides a powerful new scripting framework, has dramatic speed enhancements and provides major new graphics abilities. Comparison with existing methodNIMH MonkeyLogic is fully backward compatible with earlier task scripts, but with better temporal precision. It provides more input device options, superior graphics and a new real-time closed-loop programming model. Because NIMH MonkeyLogic requires no commercial toolbox and has a reduced hardware requirement, implementation costs are substantially reduced. ConclusionNIMH MonkeyLogic is a versatile, powerful, up-to-date tool for controlling a wide range of experiments. It is freely available from https://monkeylogic.nimh.nih.gov/.

An exploration of the variables contributing to graphical education students’ CAD modelling capability

This paper reports on a study exploring the variables that contribute to upper second level students’ capability in a digital graphical modelling exercise in the field of technology education. The study evolves previous work in the area conducted in different contexts such as teacher education. Findings indicate deficiencies in second-level students’ digital modelling abilities and a significant relationship between students’ analytical, strategic and visuospatial abilities are presented. The paper discusses these findings as they relate to pedagogical reasoning processes and present the necessity to broaden the conception of graphical capability within digital CAD modelling contexts. Some key implications for technology education programmes and pedagogical approaches are discussed in conclusion.

Development of student worksheet for enhancing of graphical and mathematical construction of physical phenomenon of pre service mathematics teacher in basic physics lecture

The preservice math teacher needs to have the competence of his mathematical literacy. According to NCTM (2014) the competence of mathematician teacher candidates must have problem solving abilities, communication, logic inference reasoning, connections and representations. Basic physics courses can be providers to equip the ability of graphical and mathematical representation of a physical phenomenon for math teacher candidates. Unfortunately, physics lectures for mathematics teacher candidates have been viewed more as a form of knowledge than as a form of thinking or a method of investigating in mathematical literacy. This is what causes the results of physics lectures have not shown significant significance to the competence of math teacher candidates. The researcher develops the structure of lectures, teaching materials, student worksheets, appropriate instruments and lecture methods to equip the graphic and mathematical representation capabilities of a physical phenomenon for mathematics student candidates. The method to be used in this research is mixed methods method with embedded experimental model design. In this paper the researcher will describe the achievement of the development stage of the student worksheet which is oriented to the ability of construction of graphic and mathematical representation of a physical phenomenon in basic physics lecture for preservice math teacher.