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Journal articles on the topic 'Software system, informatic'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 February 2022

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1

Khotimah, Khusnul. "PEMBELAJARAN MATEMATIKA BERBASIS INFORMATIKA." Eksponen 7, no. 2 (September 15, 2017): 87–95. http://dx.doi.org/10.47637/eksponen.v7i2.153.

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The Mathematic Teaching and learning based informatic system is learning system implementing computerization technology as a learning tool in theteaching and learning process. This teaching and learning process in which it combines conventional method with the application practice has been constructed on the basis of the implemented curriculum in a college. The use of media in a teaching and learning process like computer as a learning tool will make the teaching and learning process more effective because it will create an interesting teching and learning process as well as stimulate the students’ creativity. In addition, the teaching and learning process not only as a tutorial qctivity but also it provides the implentation of the theories given. The Mathematic teaching and learning based informatic is done to know the comparison of problem solving in mathematic using Mathematic software application. The standardized process and the use of informatic are constructed based on the exsisting curriculum in order to control the quality of the learning proses and result.

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Rodianto, Muhammad Abduh Robbani, and Nora Dery Sofya. "SISTEM INFORMASI ALUMNI PROGRAM STUDI INFORMATIKA UNIVERSITAS TEKNOLOGI SUMBAWA BERBASIS WEB." Jurnal Informatika, Teknologi dan Sains 2, no. 1 (February 22, 2020): 59–68. http://dx.doi.org/10.51401/jinteks.v2i1.559.

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In the world of education the utilization of information technology is something that must be implemented, one of which is the use of the internet which can be used as a medium for disseminating information. Informatic Study Program of Sumbawa University of Technology is a study program that has graduated many alumni, but so far there is no portal that can manage information regarding the whereabouts of its alumni. This causes the study program difficulties in getting the latest information of the alumni when needed. Therefore, in this research a website-based alumni information system was designed which aims to facilitate the Informatic Study Program of Sumbawa University of Technology in managing and searching for information related to alumni data. In building this system researchers used the PHP programming language with CodeIgniter Framework and MySQL as the database. Then for the development of this software is using Waterfall model. It is hoped that when this system is implemented it can be used by study programs and alumni in managing alumni information, making it easier and faster to conduct data collection and reporting of existing alumni data.

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Maan, Gurveek S., Jagadish P. Patra, and Ripudaman Singh. "A Hydro-Informatic Approach For Estimation Of Design Flash-Flood In Bargi Dam Cross-Section Of Narmada River, India." GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY 13, no. 2 (June 24, 2020): 104–14. http://dx.doi.org/10.24057/2071-9388-2019-178.

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Estimation of design flood is imperative for hydraulic designs of spillways and various other water resources development projects as well as very essential for flood risk assessment. The objective of the present study is to apply Geographical Information System (GIS) supported hydro informatics approach for estimation of design flash-flood in Bargi dam cross-section. A criterion used for estimation of design flash flood is validated by central water commission (CWC). A hydrologic modelling software (HEC-GeoHMS) is used for the delineation of basin characterises for simulation of the precipitation-runoff process of the dendritic basin system. The SUH (Synthetic Unit Hydrograph) and flood hydrographs for 25, 50 and 100 year return periods are computed along with time distribution curve which can be used to derive the time distribution co-efficient of storm rainfall in the sub-basins for the rainstorm of any duration. It is observed in this research that the peak characteristics of the design flash-flood are more perceptive to the various design storm pattern. It is demonstrated that flood hydrographs are important in flood-risk management. The results attained exhibit the capability of the flood hydrograph to describe the effects of different hydraulic systems.

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Ramadhan, Muhammad Sabir. "PENGEMBANGAN APLIKASI MOBILE LEARNING PADA MATA KULIAH PEMROGRAMAN CLIENT SERVER UNTUK MENINGKATKAN PRESTASI BELAJAR MAHASISWA." JURNAL TEKNOLOGI INFORMASI 3, no. 1 (June 13, 2019): 106. http://dx.doi.org/10.36294/jurti.v3i1.741.

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ABSTRACT- This study aims to design interactive multimedia for computer client server programming with Android-based so that it can be accessed via smartphone. Client server programming course is one of compulsory subjects in Informatics Engineering course. With the realization of multimedia is expected to shorten the learning time of students, and students can more easily understand the material of client server programming rather than through the tutorial tutorial as usual, and is expected to improve learning achievement. This multimedia realization chose to use the Android operating system to be accessible through smartphone that is currently widely used by the students. This interactive multimedia presents theories, simulations and problems as the evaluation of client server programming learning. The results of this interactive multimedia will be tested through the test instrument to the students on the study program of Informatika Technique of Asahan University. Instrument test used to know student achievement. Test instrument used is a questionnaire instrument to determine the quality of interactive multimedia computer network courses. Multimedia is designed using the main software such as Macromedia Flash, Macromedia Director, and Macromedia Authorware and Eclipse 4.2 along with supporting applications. The material to be delivered on interactive multimedia is tailored to the syllabus of client server programming courses on Strata 1 level. The expected research output is in the form of teaching materials for the enrichment of client server programming subjects and multimedia technology and will be socialized through the national seminar in the field of informatic engineering. Keywords - interactive multimedia, Android, client server programming

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., I. Made Dwi Indrasanjaya, I. Made Agus Wirawan, S. Kom, M. Cs ., and I. Ketut Resika Arthana, S. T. ,. M. Kom . "PENGEMBANGAN APLIKASI MOBILE DYNAMIC INTELLECTUAL LEARNING." Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika (KARMAPATI) 6, no. 1 (March 2, 2017): 224. http://dx.doi.org/10.23887/karmapati.v6i1.9700.

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DIL (Dynamic Intellectual Learning) merupakan sebuah prototype pembelajaran online sebagai sebuah perubahan E-learning menuju adaptive learning. Tahapan penelitian dimulai dari analisis masalah yaitu penyebaran survey. Hasil survey berupa angket yang peneliti sebarkan ke mahasiswa Pendidikan Teknik Informatika menunjukkan bahwa sebagian besar mahasiswa setuju dengan pembelajaran menggunakan media dibandingkan pembelajaran konvensional. Kemudian tahapan penelitian dilanjutkan dengan mendesain sistem, mengembangkan coding sistem, mengimplementasi sistem, dan mengevaluasi sistem dengan uji blackbox, uji whitebox, uji ahli media, dan uji respon pengguna. Pengembangan Aplikasi Mobile Dynamic Intellectual Learning Berbasis Android adalah solusi dari permasalahan tersebut. Tujuan penelitian ini adalah untuk merancang dan mengimplementasikan “Aplikasi Mobile Dynamic Intellectual Learning Berbasis Android”. Pengembangan aplikasi Mobile Dynamic Intellectual Learning Berbasis Android menggunakan siklus hidup pengembangan perangkat lunak ADDIE (Analysis, Design, Development, Implementation and Evaluations). Bahasa pemrograman yang digunakan adalah Java, dengan software pengembangan Eclipse. Hasil dari penelitian ini yaitu perancangan dan implementasi “Pengembangan Aplikasi Mobile Dynamic Intellectual Learning Berbasis Android” dan uji blackbox, uji whitebox, uji ahli media, uji respon pengguna yaitu dari mahasiswa telah berhasil dilakukan. Seluruh kebutuhan fungsional telah berhasil diimplementasikan sesuai dengan rancangan.Kata Kunci : DIL, Android, E-Learning, Eclipse, Respon DIL (Dynamic Intellectual Learning) is a prototype of online learning as a change E-learning to adaptive learning. Stages of research starting from the analysis of the problem, namely the spread of the survey. The results of a questionnaire survey that researchers disclose to students of Informatic Technic of Education showed that most students agree with the learning using media than conventional learning. Later stages of the research continued with designing a system, developing a coding system, implement the system, and evaluate the system with blackbox testing, whitebox testing, media expert test, and user response test. Development of Mobile Dynamic Intellectual Learning Android Based Application is the solution to these problems. The purpose of this research is to design and implement "Mobile Dynamic Intellectual Learning Android Based Application". Development of Mobile Dynamic Intellectual Learning Android Based application use the software development life cycle ADDIE (Analysis, Design, Development, Implementation and Evaluations). The programming language used is Java, with Eclipse as software development. The results of this analysis is design and implementation of “Mobile Dynamic Intellectual Learning Android Based Application" and blackbox testing, whitebox testing, media expert test, and user response test. of the user, is students have been successfully performed. The entire functional requirements have been successfully implemented in accordance with the design.keyword : DIL, Android, E-Learning, Eclipse, Response

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6

Vrana, I., and J. Vrána. "Approach to comparing complex software implementation methods." Agricultural Economics (Zemědělská ekonomika) 51, No. 2 (February 20, 2012): 84–92. http://dx.doi.org/10.17221/5081-agricecon.

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Some of agriculture-food sector information systems are characterised by a high complexity and a large size. There are often many alternative solutions or technologies (implementation methods) and more then one possible way or approach to an information system design. Individual alternatives could considerably differ by their properties, e.g. costs of design of initial functionality, development and operational costs, run-time costs and technical parameters of the resulting information system (e.g. the access time). Unfortunately, existing metrics for quantification of this task usually do not deliver precise results but a rough estimate depending on many variable conditions. The paper will outline typical implementation methods and show approaches to assessment and comparison of certain types of properties of information systems for a computer support for management of large data systems, which use relational database. Authors presented part of these results also at the Agrarian Perspectives conference 2004 in the Applied Informatics session (Vrana I., Vrána J. 2004).

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Látečková, A., and E. Škorecová. "Economic software – information support of product cost management." Agricultural Economics (Zemědělská ekonomika) 49, No. 8 (March 2, 2012): 365–68. http://dx.doi.org/10.17221/5415-agricecon.

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Adequate product cost economic management is not possible at present without economic software application. Based on the analysis of the current state of enterprise information systems in agriculture, we define basic methods of automatic processing of economic trials and this on the enterprise management level and in-plant level. For product cost management enhancement, we recommend managerial information system application, which introduces extension of enterprise information system and allow real time cost analyse with multidimensional disintegration. We also introduce requirements that economic software suitable for information management needs should ensure.

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Kačeniauskas, Arnas, and Peter Rutschmann. "Parallel FEM Software for CFD Problems." Informatica 15, no. 3 (January 1, 2004): 363–78. http://dx.doi.org/10.15388/informatica.2004.066.

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9

Puspa Dewi, Lily. "Library Information System Auditing: Monitoring and Evaluating the Software in Academic Institution." Journal of Software 10, no. 10 (October 2015): 1140–47. http://dx.doi.org/10.17706//jsw.10.10.1140-1147.

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10

Zavadskas, Edmundas Kazimieras, Leonas Ustinovichius, and Friedel Peldschus. "Development of Software for Multiple Criteria Evaluation." Informatica 14, no. 2 (January 1, 2003): 259–72. http://dx.doi.org/10.15388/informatica.2003.020.

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11

Savić, Dušan, Dejan Simić, and Siniša Vlajić. "Extended Software Architecture Based on Security Patterns." Informatica 21, no. 2 (January 1, 2010): 229–46. http://dx.doi.org/10.15388/informatica.2010.285.

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12

Maknickas, Algirdas, Arnas Kačeniauskas, Rimantas Kačianauskas, Robertas Balevičius, and Algis Džiugys. "Parallel DEM Software for Simulation of Granular Media." Informatica 17, no. 2 (January 1, 2006): 207–24. http://dx.doi.org/10.15388/informatica.2006.134.

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Dagienė, Valentina, and Tatjana Jevsikova. "An Approach to Formalize Metainformation of Software Localizable Resources." Informatica 21, no. 3 (January 1, 2010): 321–38. http://dx.doi.org/10.15388/informatica.2010.291.

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Dagienė, Valentina, and Gintautas Grigas. "Quantitative evaluation of the process of open source software localization." Informatica 17, no. 1 (January 1, 2006): 3–12. http://dx.doi.org/10.15388/informatica.2006.119.

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15

Bajec, Marko, and Damjan Vavpotič. "A Framework and Tool-Support for Reengineering Software Development Methods." Informatica 19, no. 3 (January 1, 2008): 321–44. http://dx.doi.org/10.15388/informatica.2008.216.

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Haav, Hele-Mai. "A Comparative Study of Approaches of Ontology Driven Software Development." Informatica 29, no. 3 (January 1, 2018): 439–66. http://dx.doi.org/10.15388/informatica.2018.175.

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Živkovič, Aleš, Marjan Heričko, Boštjan Brumen, Simon Beloglavec, and Ivan Rozman. "The Impact of Details in the Class Diagram on Software Size Estimation." Informatica 16, no. 2 (2005): 295–312. http://dx.doi.org/10.15388/informatica.2005.100.

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18

Leven, F. "Software Engineering Education in Medical Informatics." Methods of Information in Medicine 28, no. 04 (October 1989): 295–303. http://dx.doi.org/10.1055/s-0038-1636805.

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Abstract:Requirements and approaches of Software Engineering education in the field of Medical Informatics are described with respect to the impact of (1) experiences characterizing the “software misery”, (2) status and tendencies in software methodology, and (3) educational status and needs in computer science education influenced by the controversy “theoretical versus practical education”. Special attention is directed toward the growing importance of analysis, design methods, and techniques in the professional spectrum of Medical Informatics, the relevance of general principles of systems engineering in health care, the potential of non-procedural programming paradigms, and the intersection of Artificial Intelligence and education. Realizations of and experiences with programs in the field of Software Engineering are reported with respect to special requirements in Medical Informatics.

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Vaira, Žilvinas, and Albertas Čaplinskas. "Software Engineering Paradigm Independent Design Problems, GoF 23 Design Patterns, and Aspect Design." Informatica 22, no. 2 (January 1, 2011): 289–317. http://dx.doi.org/10.15388/informatica.2011.328.

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Zamulin, A. V. "Fifth International Conference “Perspectives of System Informatics”." Programming and Computer Software 30, no. 1 (January 2004): 52–56. http://dx.doi.org/10.1023/b:pacs.0000013441.38966.5c.

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Virbitskaite, I. B. "Sixth International Conference “Perspectives of System Informatics”." Programming and Computer Software 33, no. 3 (May 2007): 174–79. http://dx.doi.org/10.1134/s0361768807030061.

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22

Markushevich, M. V. "To the question about selecting software to support the Learning process in informatics at secondary school realized online." Informatics in school, no. 5 (July 19, 2021): 35–42. http://dx.doi.org/10.32517/2221-1993-2021-20-5-35-42.

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The article analyzes the experience of teaching informatics in a comprehensive Moscow school in a distance form in 2020 during the coronavirus pandemic. Of all the variety of problems and issues generated by the pandemic, the issue of choosing the optimal system and application software to support the learning process stands out. The possibility of using various types of domestic free operating systems for these purposes is analyzed, and their brief comparative characteristics are given. It's considered what kind of application software, which is included in the distribution of the Alt Education 9 operating system, can be used to support the teaching of all topics of the informatics course in primary, secondary and high school. The advantages of the Alt Education 9 operating system over similar domestic operating systems are listed, and the conclusion is drawn about the need to select this type of operating system as the optimal option for implementing the educational process in a remote form.

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Broy, M. "The 'Grand Challenge' in Informatics: Engineering Software-Intensive Systems." Computer 39, no. 10 (October 2006): 72–80. http://dx.doi.org/10.1109/mc.2006.358.

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Cebon, D., and M. F. Ashby. "Engineering Materials Informatics." MRS Bulletin 31, no. 12 (December 2006): 1004–12. http://dx.doi.org/10.1557/mrs2006.229.

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AbstractThis article discusses the need for materials data and materials data management software during product development. Key issues are the changing materials data needs (from general to specific) as the design process proceeds, as well as the requirements for software systems that can automate the key data management tasks: capture, analysis, deployment, and maintenance. Specific issues requiring attention are flexibility of data management, change control, version control, quality control, and traceability of information.

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Markushevich, M. V. "DEPENDENCE BETWEEN THE METHODICAL SYSTEM OF TEACHING INFORMATICS IN SCHOOL AND THE TYPE OF USED SOFTWARE." Informatics in school, no. 9 (December 20, 2018): 14–24. http://dx.doi.org/10.32517/2221-1993-2018-17-9-14-24.

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Component analysis of the elements of the methodical system of teaching informatics in the secondary school, depending on the type of software used in the educational process (free or proprietary), is carried out. On the basis of the conducted research, the structural scheme of the methodical system of teaching informatics is corrected and a conclusion is formulated about the dependence of the methodical system on the type of software used in training.

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Del Fiol, Guilherme, Haley Hanseler, Barbara Crouch, Mollie Cummins, and Scott Nelson. "Software prototyping." Applied Clinical Informatics 07, no. 01 (January 2016): 22–32. http://dx.doi.org/10.4338/aci-2015-07-cr-0091.

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SummaryHealth information exchange (HIE) between Poison Control Centers (PCCs) and Emergency Departments (EDs) could improve care of poisoned patients. However, PCC information systems are not designed to facilitate HIE with EDs; therefore, we are developing specialized software to support HIE within the normal workflow of the PCC using user-centered design and rapid prototyping.To describe the design of an HIE dashboard and the refinement of user requirements through rapid prototyping.Using previously elicited user requirements, we designed low-fidelity sketches of designs on paper with iterative refinement. Next, we designed an interactive high-fidelity prototype and conducted scenario-based usability tests with end users. Users were asked to think aloud while accomplishing tasks related to a case vignette. After testing, the users provided feedback and evaluated the prototype using the System Usability Scale (SUS).Survey results from three users provided useful feedback that was then incorporated into the design. After achieving a stable design, we used the prototype itself as the specification for development of the actual software. Benefits of prototyping included having 1) subject-matter experts heavily involved with the design; 2) flexibility to make rapid changes, 3) the ability to minimize software development efforts early in the design stage; 4) rapid finalization of requirements; 5) early visualization of designs; 6) and a powerful vehicle for communication of the design to the programmers. Challenges included 1) time and effort to develop the prototypes and case scenarios; 2) no simulation of system performance; 3) not having all proposed functionality available in the final product; and 4) missing needed data elements in the PCC information system.

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Kučera, M., E. Škorecová, and A. Látečková. "The costs system like a part of the company managerial information system." Agricultural Economics (Zemědělská ekonomika) 51, No. 8 (February 20, 2012): 342–47. http://dx.doi.org/10.17221/5117-agricecon.

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The article is oriented towards justification of the necessity of company cost system administration in the environment of the software managerial information system. The competitiveness of Slovak agricultural companies within the EU and global markets need to extend the the content of company cost system, detailing its structure, new quality of the company cost analysis, their multidimensional monitoring and analysis. Providing current and relevant information about costs is considered to be an advantage of the company in the competitive environment. The application of managerial systems in the area of costs enables to achieve this advantage.

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Kotsifakos, Dimitrios, Dimitrios Magetos, and Christos Douligeris. "Utilization of Web-Based Services and Applications for Educational Purposes in Vocational Education and Training (VET)." European Journal of Engineering Research and Science, CIE (March 8, 2018): 38. http://dx.doi.org/10.24018/ejers.2018.0.cie.642.

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This paper introduces new web-based tools that can assist the teaching of Informatics courses in a Vocational Education and Training (VET) environment. In order to be able to utilize these tools for educational purposes, a web-based information system needs to be created (analysis, design, implementation, check). Such systems take advantage of already available on-line software which does not require an installation on a localized server, i.e. the installation of software at the individual school Informatics laboratories. This approach meets the educational needs of the courses, and avoids possible costly in terms of time and resources malfunctions. The tools we introduce can thoroughly cover the educational needs of modern Informatics courses which are taught during Vocational Training in accordance with the analytical schedule of the last three grades of Lyceum as well as afterwards.

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Dutsova, Ralitsa. "Web-based software system for processing bilingual digital resources." Cognitive Studies | Études cognitives, no. 14 (September 4, 2014): 33–43. http://dx.doi.org/10.11649/cs.2014.004.

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Web-based software system for processing bilingual digital resourcesThe article describes a software management system developed at the Institute of Mathematics and Informatics, BAS, for the creation, storing and processing of digital language resources in Bulgarian. Independent components of the system are intended for the creation and management of bilingual dictionaries, for information retrieval and data mining from a bilingual dictionary, and for the presentation of aligned corpora. A module which connects these components is also being developed. The system, implemented as a web-application, contains tools for compilation, editing and search within all components.

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Musen, M. A. "Scalable Software Architectures for Decision Support." Methods of Information in Medicine 38, no. 04/05 (1999): 229–38. http://dx.doi.org/10.1055/s-0038-1634422.

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AbstractInterest in decision-support programs for clinical medicine soared in the 1970s. Since that time, workers in medical informatics have been particularly attracted to rule-based systems as a means of providing clinical decision support. Although developers have built many successful applications using production rules, they also have discovered that creation and maintenance of large rule bases is quite problematic. In the 1980s, several groups of investigators began to explore alternative programming abstractions that can be used to build decision-support systems. As a result, the notions of “generic tasks” and of reusable problem-solving methods became extremely influential. By the 1990s, academic centers were experimenting with architectures for intelligent systems based on two classes of reusable components: (1) problem-solving methods – domain-independent algorithms for automating stereotypical tasks – and (2) domain ontologies that captured the essential concepts (and relationships among those concepts) in particular application areas. This paper highlights how developers can construct large, maintainable decision-support systems using these kinds of building blocks. The creation of domain ontologies and problem-solving methods is the fundamental end product of basic research in medical informatics. Consequently, these concepts need more attention by our scientific community.

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Lehmann, Harold. "The Informatics Stack: A Heuristic Tool for Informatics Teaching." Methods of Information in Medicine 56, S 01 (January 2017): e129-e133. http://dx.doi.org/10.3414/me16-01-0152.

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Summary Objective: To develop a heuristic framework for students to organize and apply the many concepts of informatics for rapid use. Method: Organization of curriculum material and recurrent refinement by student feedback. An Informatics Stack was developed based on several existing informatics and software-development frameworks comprising several levels of abstraction, from what a system is supposed to accomplish (4 levels) to how it accomplishes it (5 levels). At each level, there are specific concerns, types of interoperability, ethical and legal issues, testing and evaluation approaches and methods, and relevant scientific disciplines, and privacy (upper 5 levels), confidentiality (middle 3 levels), and security (lower 4 levels ) concerns whose levels overlap. An 8-week Introduction to Informatics course was taught for 6 years to masters students of informatics and of public health, based on the Stack, with a Final Project continually filled in during the course, where students applied the Stack to existing reports describing health information systems and their deployments. Results: Student feedback from 538 students working in 116 groups over 6 years shows near-universal appreciation that the Stack helped to organize their review of the report. Each student, from a wide variety of backgrounds, identified some level of the Stack as something they might have otherwise missed, and all levels were invoked by some student. Attributes identified by the students as missing from the Stack concerned the practicalities of system development. Conclusion: The Stack is a broadly-encompassing heuristic whose application can be learned and applied by students from a wide variety of backgrounds in an 8-week course.

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Gillis, Pamela A., Holly Booth, Judith R. Graves, Charles Steven Fehlauer, and Jerome Soller. "Translating Traditional Principles of System Development into a Process for Designing Clinical Information Systems." International Journal of Technology Assessment in Health Care 10, no. 2 (1994): 235–48. http://dx.doi.org/10.1017/s026646230000619x.

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AbstractTraditional software development methodologies enhanced by a clinical component result in information systems that support the practice of nursing. This paper describes the clinical informatics model used to develop and evaluate a mobile computer assessment tool. Data entry of atomic-level elements, with storage in a relational database, allows the synthesis and analysis by multiple disciplines to aid in real-time decision making. The system is designed to improve the recording and accessibility of patient data and nursing observations on a geriatric unit at the Salt Lake VA Medical Center.

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Ben-Menachem, Mordechai, and Ilanit Gavious. "Accounting Software Assets: A Valuation Model for Software." Journal of Information Systems 21, no. 2 (September 1, 2007): 117–32. http://dx.doi.org/10.2308/jis.2007.21.2.117.

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Enterprise Information Technology Systems are major corporate assets upon which corporate management and operations are heavily dependent. Current accounting standards for the treatment of these assets have not kept pace with advances in technology, such as models for creating and evolving IT. Capitalizable costs according to the standards are principally primary development costs and exclude system evolution. This weakness of the standards creates a disproportionate downward bias in the book value of software and in current earnings, as costs incurred for on-going systems evolution is five to twenty times the costs incurred for first release. We present a quantitative valuation model for IT systems based upon engineering measurements of software that allow the fair value of software to be based on all costs incurred by the system. Costs are collected by an automatic tool and stored in an inventory system of enterprise software assets. To total costs is added the effect of each individual module's relative significance to the enterprise. The model also provides a systematic algorithm for software amortization, based on the decrease in its usability.

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Olivo, G., A. Calisti, G. Carluccio, G. Poletti, and A. Lotto. "Informatics in urodynamics." Urologia Journal 61, no. 1 (February 1994): 55–59. http://dx.doi.org/10.1177/039156039406100112.

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Urodynamics is a diagnostic technique which makes full use of informatics. In the urodynamic laboratory the computer collects data both during clinical evaluation and during tests. Wiest KG software, which has been utilised in our laboratory for over five years, is illustrated. The advent of microprocessors has led to the development of miniaturised diagnostic systems in the biomedical field, which can study essential body functions over long periods of time: Rigiscan and vesicourethral Holter. We may assume that, with the development of so-called expert systems, the computer will take over the crucial urodynamic investigation which leads to diagnosis.

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Safran, C. "Informatics Training for Clinicians Is More Important than Hardware and Software." Yearbook of Medical Informatics 18, no. 01 (August 2009): 164–65. http://dx.doi.org/10.1055/s-0038-1638657.

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Summary Objective The importance of training physicians and nurses in the art, skill and science of clinical informatics has never been greater. What level of training is necessary and sufficient to equip the 21st century healthcare workforce for the transformative opportunity enabled by widespread deployment of EHRs? Methods Building on the success of its 10x10 program, AMIA with support from the Robert Wood Johnson foundation took its next step to create the necessary documents to have clinical informatics recognized as a sub-specialty by the American Board of Medical Specialties (ABMS). ResultsWe defined the core content that had to be mastered and describing how physicians interested in the sub-specialty clinical informatics would be trained. The results of this work have been approved by the board of AMIA and have been published in its journal JAMIA. Conclusion The health challenges of the 21 century require that we rapidly train the clinical workforce in clinical informatics. In addition to buying hardware and software, our health systems need to sponsor this training. Two percent of every Health IT budget should be targeted for clinician education.

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Atif, Yacine. "System Software support for distributed real-time systems." Journal of Systems and Software 53, no. 3 (September 2000): 245–64. http://dx.doi.org/10.1016/s0164-1212(00)00016-9.

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Wang, Yingxu, Newton Howard, Janusz Kacprzyk, Ophir Frieder, Phillip Sheu, Rodolfo A. Fiorini, Marina L. Gavrilova, Shushma Patel, Jun Peng, and Bernard Widrow. "Cognitive Informatics." International Journal of Cognitive Informatics and Natural Intelligence 12, no. 1 (January 2018): 1–13. http://dx.doi.org/10.4018/ijcini.2018010101.

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Cognitive Informatics (CI) is a contemporary field of basic studies on the brain, computational intelligence theories and underpinning denotational mathematics. Its applications include cognitive systems, cognitive computing, cognitive machine learning and cognitive robotics. IEEE ICCI*CC'17 on Cognitive Informatics and Cognitive Computing was focused on the theme of neurocomputation, cognitive machine learning and brain-inspired systems. This paper reports the plenary panel (Part I) at IEEE ICCI*CC'17 held at Oxford University. The summary is contributed by invited keynote speakers and distinguished panelists who are part of the world's renowned scholars in the transdisciplinary field of CI and cognitive computing.

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Jeang, Angus. "Inpatient admission system model using SIMAN software." Journal of Medical Systems 14, no. 6 (December 1990): 365–74. http://dx.doi.org/10.1007/bf00996716.

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Yingxu Wang. "On the informatics laws and deductive semantics of software." IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 36, no. 2 (March 2006): 161–71. http://dx.doi.org/10.1109/tsmcc.2006.871138.

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R. B., SALAU, and HASAN M. N. "DEVELOPMENT OF FOOD INFORMATICS SOFTWARE: A MINERAL DEFICIENCY DISEASE - FOOD GUIDE SYSTEM." i-manager’s Journal on Software Engineering 13, no. 2 (2018): 1. http://dx.doi.org/10.26634/jse.13.2.15624.

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Bahuman, Anil, Chaitra Bahuman, Malati Baru, Subhasri Duttagupta, and Krithi Ramamritham. "Developmental informatics at IIT Bombay." ACM SIGMOD Record 36, no. 1 (March 2007): 47–53. http://dx.doi.org/10.1145/1276301.1276312.

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CHEE, W. S. ADAM. "IT SECURITY IN BIOMEDICAL IMAGING INFORMATICS: THE HIDDEN VULNERABILITY." Journal of Mechanics in Medicine and Biology 07, no. 01 (March 2007): 101–6. http://dx.doi.org/10.1142/s0219519407002170.

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The convergence of biomedical instruments and computing platforms has resulted in medical imaging equipment being subjected to the threats of malicious software (Malware) which have traditionally plagued the computing industry. Vulnerabilities increase several-fold with implementations of Clinical Information Systems like the Picture Archival & Communication Systems (PACS), where computer-based biomedical equipment work hand in glove with computer servers. With the increasing complexity of modern Malware, proactive monitoring and reviews of known vulnerabilities are no longer sufficient. An institute faced with an IT security attack on their medical networks will still experience extended downtime, performance degradation and increased service costs, even if equipped with an adequate security system and recovery plans. Biomedical equipment vendors usually need more time than computing vendors to validate the security updates required for vulnerabilities before they can recommend changes for installation to their systems. This includes all system changes, patches, updates, and enhancements. However, the interval between the launch of a new Malware attack and the availability of a solution from the vendor can result in the medical network being compromised and rendered totally crippled. In view of such new challenges, it is crucial to redesign your medical network and operating procedures to ensure continuous operation with minimum performance degradation even under a Malware attack until the biomedical equipment vendor can provide the software updates to resolve security vulnerabilities. Such strategic implementation is not only necessary to ensure integrity and confidentiality of patient's data but also to protect the healthcare institute's reputation and business continuity.

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Sherer, Susan A. "Purchasing software systems." Information & Management 24, no. 5 (January 1993): 257–66. http://dx.doi.org/10.1016/0378-7206(93)90003-c.

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Taylor, Mark, Eddie Moynihan, and Trevor Wood-Harper. "Knowledge for Software Maintenance." Journal of Information Technology 12, no. 2 (June 1997): 155–66. http://dx.doi.org/10.1177/026839629701200207.

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Studies have shown that maintenance is up to 80% of the life-cycle effort of developing and maintaining a business information technology (IT) system. There are several factors which significantly affect maintenance work. This paper concentrates on one of these factors which is the knowledge staff require for effective and efficient systems maintenance. The knowledge required is split into two categories. Firstly, there is the knowledge of the business environment within which an IT system operates. Secondly, there is the knowledge of the technical IT system, particularly the details of the software structure. It is argued that both categories of knowledge are equally important and difficult to acquire. Examples of techniques for improving this knowledge are discussed. The article is partly based on case-study research into the actual practice of systems development and maintenance in 31 UK IT departments.

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Иваньо, Yaroslav Ivano, Бендик, and Nadezhda Bendik. "SOFTWARE OF MODELLING OF AGRICULTURAL PARAMETERS TAKING INTO ACCOUNT NATURAL AND TECHNOGENIC EVENTS." Vestnik of Kazan State Agrarian University 10, no. 3 (September 15, 2015): 67–71. http://dx.doi.org/10.12737/14759.

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The article is considered the developed software of Informatics and mathematical modelling Department of Irkutsk State Agricultural Unievrsity. The scheme of software tools interaction is designed to optimize their performance. Software systems are grouped on the basis of three groups. The first group of software includes software systems: “Regional agriculture cluster”, “Optimization of land resources usage” and “Environmental and mathematical modeling of food production”. It allows to plan the production of agricultural products. The second group is selected on the basis of the planning of agricultural production, taking into account natural, technogenic events and its combinations. This group includes the following software packages: “Drought’, “Natural disasters”, “Unusual occurrence and technogenic events”. The third group is focused on yield planning in a timely crop sowing. The group includes software package: “Simulation of crops bio-productivity” and information system “Predicting the time of technological operations and planning”. These developed group of software tools combined in software and hardware management of agricultural production on the basis of the data warehouse and knowledge. The basis of hardware and software management of agricultural production is the back end, which includes data storage, workstations management system and communication system with navigation devices. The above-mentioned software groups act as a client application.

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Kučera, M., A. Látečková, and P. Szovics. "Improving quality of economic information systems to ensure competitive advantage for companies." Agricultural Economics (Zemědělská ekonomika) 50, No. 8 (February 24, 2012): 365–68. http://dx.doi.org/10.17221/5218-agricecon.

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A prosperous company with a goal to maintain competitiveness in a strong international environment should eliminate obsolete management methods and innovate the information system used in the company with the application of effective economic software. This paper deals with the current situation of economic software or Enterprise Resource Planning (ERP) in companies and opportunities and advantages of using software in the area of cost management. Economic gains in practice are also discussed in this contribution. 

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Wang, Yingxu. "Towards the Synergy of Cognitive Informatics, Neural Informatics, Brain Informatics, and Cognitive Computing." International Journal of Cognitive Informatics and Natural Intelligence 5, no. 1 (January 2011): 75–93. http://dx.doi.org/10.4018/jcini.2011010105.

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The contemporary wonder of sciences and engineering recently refocused on the starting point: how the brain processes internal and external information autonomously rather than imperatively as those of conventional computers? This paper explores the interplay and synergy of cognitive informatics, neural informatics, abstract intelligence, denotational mathematics, brain informatics, and computational intelligence. A key notion recognized in recent studies in cognitive informatics is that the root and profound objective in natural, abstract, and artificial intelligence, and in cognitive informatics and cognitive computing, is to seek suitable mathematical means for their special needs. A layered reference model of the brain and a set of cognitive processes of the mind are systematically developed towards the exploration of the theoretical framework of cognitive informatics. A wide range of applications of cognitive informatics and denotational mathematics are recognized in the development of highly intelligent systems such as cognitive computers, cognitive knowledge search engines, autonomous learning machines, and cognitive robots.

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Liu, Chien Hung, and Po Yin Chang. "Information System Success Model in Healthcare and Medical Informatics with Open Source Software." Applied Mechanics and Materials 311 (February 2013): 20–25. http://dx.doi.org/10.4028/www.scientific.net/amm.311.20.

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Open source software (OSS) has attracted a lot interest among academics and practitioners from mid-1990s. However, there is insufficient attention on healthcare and medical informatics (HMI) of OSS (HMIOSS), most studies on OSS success are either qualitative or exploratory in nature. Hence, to identify the factors that influence HMIOSS success and establish generalize ability, an empirical study measuring HMIOSS success would enable HMIOSS developers and users to improve HMIOSS usage. In this study, we develop a HMIOSS success model from a previous information systems success Model incorporating the characteristics of HMI domain. This research contributes towards advancing theoretical understanding of HMIOSS success as well as offering practitioners for enhancing HMIOSS success.

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Ma, Tianle, and Aidong Zhang. "Omics Informatics: From Scattered Individual Software Tools to Integrated Workflow Management Systems." IEEE/ACM Transactions on Computational Biology and Bioinformatics 14, no. 4 (July 1, 2017): 926–46. http://dx.doi.org/10.1109/tcbb.2016.2535251.

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Heathfield, H. A., and J. Wyatt. "Philosophies for the Design and Development of Clinical Decision-Support Systems." Methods of Information in Medicine 32, no. 01 (1993): 01–08. http://dx.doi.org/10.1055/s-0038-1634896.

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Abstract:Little significance is attached by medical informatics workers to the many practical issues which affect the development of clinical decision-support systems. We examine the current state of research in clinical decision-support, the characteristics and motivations of developers, and the perceptions of intended end-users. Factors which adversely affect the success of systems are highlighted and pointers to good practice discussed. We then propose a coherent approach to system development, consisting of requirements analysis, software design, implementation, testing, evaluation and maintenance.

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