scholarly journals TERMISUL E INFORMÁTICA: CAMINHO PERCORRIDO E HORIZONTE A ALCANÇAR

Organon ◽  
2011 ◽  
Vol 25 (50) ◽  
Author(s):  
Anna Maria Becker Maciel

This paper reports on the quest for the interface between Terminology, Informaticsand the Termisul Project. Three landmarks highlight the account, DOS, Windows, and Internet.They characterize the steps of a team of linguists towards the computerized era. As far as thetechnology advanced, their perception of digital resources changed from being mereoperational help in data management to representing sophisticated tools assisting research andeventually to the demand of cooperative work with computer scientists. The difficulties of theearly stages encountered in the path tread are remembered. The meaningful results of theefforts taken are described. The challenges of the ongoing research work are outlined.

Author(s):  
Pankaj Musyuni ◽  
Geeta Aggarwal ◽  
Manju Nagpal ◽  
Ramesh K. Goyal

Background: Protecting intellectual property rights are important and particularly pertinent for inventions which are an outcome of rigorous research and development. While the grant of patents is subject to establishing novelty and inventive step, it further indicates the technological development and helpful for researchers working in the same technical domain. The aim of the present research work is to map the existing work through analysis of patent literature, in the field of Coronaviruses (CoV), particularly COVID-19 (2019-nCoV). CoV is a large family of viruses known to cause illness in human and animals, particularly known for causing respiratory infections as evidenced in earlier times such as in MERS i.e. Middle East Respiratory Syndrome; SRS i.e. Severe Acute Respiratory Syndrome. A recently identified novel-coronavirus has known as COVID-19 which has currently caused pandemic situation across the globe. Objective: To expand analysis of patents related to CoV and 2019-nCoV. Evaluation has been conducted by patenting trends of particular strains of identified CoV diseases by present legal status, main concerned countries via earliest priority years and its assignee types and inventors of identified relevant patents. We analyzed the global patent documents to check the scope of claims along with focuses and trends of the published patent documents for the entire CoV family including 2019- nCoV through the present landscape. Methods: To extract the results, Derwent Innovation database is used by a combination of different key-strings. Approximately 3800 patents were obtained and further scrutinized and analyzed. The present write-up also discusses the recent progress of patent applications in a period of the year 2010 to 2020 (present) along with the recent developments in India for the treatment options for CoV and 2019-nCoV. Results: Present analysis showed that key areas of the inventions have been focused on vaccines and diagnostic kits apart from the composition for treatment of CoV. We also observed that no specific vaccine treatments is available for treatment of 2019-nCov, however, developing novel chemical or biological drugs and kits for early diagnosis, prevention and disease management is the primarily governing topic among the patented inventions. The present study also indicates potential research opportunities for the future, particularly to combat 2019-nCoV. Conclusion: The present paper analyzes the existing patents in the field of Coronaviruses and 2019-nCoV and suggests a way forward for the effective contribution in this upcoming research area. From the trend analysis, it was observed an increase in filing of the overall trend of patent families for a period of 2010 to the current year. This multifaceted analysis of identified patent literature provides an understanding of the focuses on present ongoing research and grey area in terms of the trends of technological innovations in disease management in patients with CoV and 2019-nCoV. Further, the findings and outcome of the present study offer insights for the proposed research and innovation opportunities and provide actionable information in order to facilitate policymakers, academia, research driven institutes and also investors to make better decisions regarding programmed steps for research and development for the diagnosis, treatment and taking preventive measures for CoV and 2019-nCoV. The present article also emphasizes on the need for future development and the role of academia and collaboration with industry for speedy research with a rationale.


2005 ◽  
Author(s):  
Yukinori Sakiyama ◽  
Shu Takagi ◽  
Yoichiro Matsumoto

We demonstrate the multiscale analysis of the transport phenomena in a low pressure reactor. In this method, the macroscopic phenomena such as the temperature and the density distribution are related to the microscopic electronic structure of atom/molecule. By connecting the different scales with physical models, the macroscopic properties are obtained starting from the first principle calculation without any empirical parameters. Here, we take the silicon epitaxial growth from a gas mixture of silane and hydrogen as an example. As the first step of this method, we calculated the intermolecular potential energy of SiH4/H2 using the ab initio molecular orbital calculations. Then, an analytical pair potential model was constructed to reproduce the potential energy surface obtained from the ab initio calculation. We have confirmed the validation of the potential model by comparing the experimental data of the transport properties with the molecular dynamics simulation using the potential model. Subsequently, the binary molecular collision models were constructed by the classical trajectory calculation using the potential model as the second step of the multiscale analysis. The trajectory calculations were conducted for the various combinations of the initial translational and the rotational energy. Through the statistical analysis of the trajectory calculations, the elastic/inelastic collision cross section and the scattering angle model were constructed. Finally, the direct simulation Monte Carlo simulation of flow field in a low parssure reactor was executed. The thin film thickness distribution was also investigated and discussed. This method was extended to analyze the surface reaction, which is an ongoing research work and only the current progress is reported here.


Author(s):  
Olga Aleksandrovna Fiofanova

In the context of the development of data-based management, the transition to decision-making models based on Big Data technologies, in the context of the development of the national data management system, the issues of educational data analytics, the problems of the fragmentation of digital data analytics services, as well as the need to develop the teacher’s competencies in working with educational data. The structural and functional analysis of digital resources of educational data with which a modern teacher should work is presented. The competencies of the teacher in the field of analysis of educational data are characterized. The concept of “Pedagogy based on data” is considered as a new area of pedagogical knowledge and a methodological basis for the development of teachers' competencies in the field of data analysis. The author analyzes the possibilities of modernization and integration of digital data analytics services in the context of the implementation of the National Data Management System in Russia.


Author(s):  
Zhen Hua Liu ◽  
Anguel Novoselsky ◽  
Vikas Arora

Since the advent of XML, there has been significant research into integrating XML data management with Relational DBMS and Object Relational DBMS (ORDBMS). This chapter describes the XML data management capabilities in ORDBMS, various design approaches and implementation techniques to support these capabilities, as well as the pros and cons of each design and implementation approach. Key topics such as XML storage, XML Indexing, XQuery and SQL/XML processing, are discussed in depth presenting both academic and industrial research work in these areas.


Author(s):  
Michael A. Lorra ◽  
Carol A. Schnepper ◽  
Stephen Somers

Most new duct burners are supplied to heat recovery steam generator (HRSG) manufacturers for use in cogeneration systems. Key components of a simple cycle cogeneration plant include a turbine, generator, turbine exhaust gas duct, duct burner (optional), HRSG and downstream flue gas cleaning equipment. New developments in gas turbine technology are changing the boundary conditions for supplemental firing. In response, John Zink has an ongoing research project for the development of new duct burners achieving ultra low NOx emissions maintaining a good flame quality. The scope of this research work includes computational fluid dynamic modeling (CFD) and experimental testing of current design duct burner to obtain baseline data comparable with CFD results, and various experimental configurations through a full range of expected operating conditions. Experimental testing is performed in a test furnace at John Zink Company, Tulsa. Turbine exhaust gas (TEG) is simulated using John Zink Duct burners, which are supplied with air from a combustion air fan. Different O2 levels can be achieved by a combined water/steam injection. The temperature level of the TEG to the test burner can be adjusted with an air-cooled heat exchanger. Temperature and concentration measurements can be made at the test burner location and in the stack. Flame length, as well as NOx and CO emissions were measured for each data point. CFD modeling focused on the performance effects of turbine exhaust gas flow mal-distribution and the investigation on how reliable CFD models are, regarding flame stability calculations and NOx production. The results of this comprehensive testing and results from the CFD calculations will be compared and presented.


Author(s):  
V Singh ◽  
F Welz ◽  
R H Weston

There is a much increased demand for a degree of interworking between software packages as it is no longer reasonable to expect a single application to be able to do its job without support or reference to data and events that are handled by other closely related application systems. In practice, it is essential to help ensure and maintain discipline and harmony to enable graceful co-operation among interoperating software components. Functional interaction management is identified as a vital service requirement necessary to help address this issue of software interoperability. Current manufacturing control systems (MCS) exhibit deficiencies and constraints that inhibit or complicate their interaction. This paper reports on ongoing research work where the main thrust is to derive a new generation of reconfigurable and modular forms of MCS, the components of which can ‘functionally interact’ and share common information through accessing distributed data repositories in an efficient, changeable and standardized manner. The emphasis is on: (a) development of an effective framework to manage functional interaction between MCS components, which typically may comprise software packages that facilitate production planning, product design, finite capacity scheduling and cell control; (b) ‘soft’ integration of these MCS components over the CIM-BIOSYS integrating infrastructure.


2004 ◽  
Vol 12 (2) ◽  
pp. 137-158 ◽  
Author(s):  
Eduardo Reck Miranda

This paper introduces three approaches to using Evolutionary Computation (EC) in Music (namely, engineering, creative and musicological approaches) and discusses examples of representative systems that have been developed within the last decade, with emphasis on more recent and innovative works. We begin by reviewing engineering applications of EC in Music Technology such as Genetic Algorithms and Cellular Automata sound synthesis, followed by an introduction to applications where EC has been used to generate musical compositions. Next, we introduce ongoing research into EC models to study the origins of music and detail our own research work on modelling the evolution of melody.


2021 ◽  
Vol 13 (23) ◽  
pp. 13322
Author(s):  
Vinoth Kumar Ponnusamy ◽  
Padmanathan Kasinathan ◽  
Rajvikram Madurai Elavarasan ◽  
Vinoth Ramanathan ◽  
Ranjith Kumar Anandan ◽  
...  

The role of energy is cardinal for achieving the Sustainable Development Goals (SDGs) through the enhancement and modernization of energy generation and management practices. The smart grid enables efficient communication between utilities and the end- users, and enhances the user experience by monitoring and controlling the energy transmission. The smart grid deals with an enormous amount of energy data, and the absence of proper techniques for data collection, processing, monitoring and decision-making ultimately makes the system ineffective. Big data analytics, in association with the smart grid, enable better grid visualization and contribute toward the attainment of sustainability. The current research work deals with the achievement of sustainability in the smart grid and efficient data management using big data analytics, that has social, economic, technical and political impacts. This study provides clear insights into energy data generated in the grid and the possibilities of energy theft affecting the sustainable future. The paper provides insights about the importance of big data analytics, with their effects on the smart grids’ performance towards the achievement of SDGs. The work highlights efficient real-time energy data management involving artificial intelligence and machine learning for a better future, to short out the effects of the conventional smart grid without big data analytics. Finally, the work discusses the challenges and future directions to improve smart grid technologies with big data analytics in action.


ILUMINURAS ◽  
2015 ◽  
Vol 16 (39) ◽  
Author(s):  
Eduardo Álvarez Pedrosian

En este artículo planteamos una serie de consideraciones para pensar en la etnografía como una tarea prospectiva a partir de nuestro reciente trabajo de investigación. En primer lugar, se caracteriza a la etnografía como la experiencia de los alcances y las limitaciones por excelencia. Luego planteamos una serie de debates contemporáneos sobre el estatus epistemológico de la etnografía, sus componentes y condiciones de realización, con especial énfasis en el concepto de involucramiento. Posteriormente ensayamos una suerte de desplazamiento de la narrativa de los encuentros, a partir de nuestra investigación en curso sobre las transformaciones en el hábitat y las formas de habitar. Concluimos sobre las incertidumbres del trabajo de campo como factor necesario y deseable, en tanto dinamizador del proceso general. Para ello consideramos la puesta en crisis del conocimiento académico como ingrediente fundamental en el contexto contemporáneo, envuelto en las dinámicas del extrañamiento y la reflexividad propias de la práctica etnografía.Palabras clave: Etnografía experimental. Prospectiva. Trabajo de campo. Involucramiento. Incertidumbre.Prospective ethnography. The work into fragility, uncertain and incipientAbstractIn this paper we propose a number of considerations to think about ethnography as a prospective task from our recent research work. First, it characterizes ethnography as the experience of the scope and limitations par excellence. Then we propose a number of contemporary debates about the epistemological status of ethnography, its components and conditions of realization, with special emphasis on the concept of engagement. Later we rehearsed a kind of displacement of the narrative of encounters, from our ongoing research on the changes in habitat and ways of dwelling. We conclude about the uncertainties of fieldwork as a factor necessary and desirable, while revitalizing the overall process. To do this we consider commissioning crisis of academic knowledge as a key ingredient in the contemporary context, wrapped in the dynamics of estrangement and ethnography own practice reflexivity.Key words: Experimental ethnography. Prospective. Fieldwork. Engagement. Uncertainty. 


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