Search

With the significant impact of Internet services and the evolution in the hardware and software fields, the Internet size and usage scope are continuously covering smaller and resource-constrained devices. Such devices, commonly called IoT devices, with sensing/actuation capabilities, are now capable of managing the complexity of communications over the Internet. However, considering the current IoT ecosystem, this field is still fragmented with respect to the communication technologies, protocols, and data formats used by the different providers. This heterogeneity makes IoT devices/systems unable to communicate seamlessly, leading to limited cooperation and tightly coupled deployments. To overwhelm the interoperability barriers in IoT, we propose, in this paper, a Cloud-based approach with a Dynamic Domain Name System (DDNS) mechanism enabling the IoT devices to communicate using the REST model. An approach that follows the Web of things (WoT) paradigm. In particular, the system enables the IoT devices' hosted resources (e.g., sensors and actuators) to be steered using globally resolvable (over the Internet) Uniform Resource Locators (URLs) even when deployed behind Network Address Translators (i.e., NATs). Besides, the solution considers security aspects related to data transmission by leveraging the use of HTTPS with a Dynamic machnism managing Domain Validation (DV) certificates.

Summary Objective Tessitura—the habitual pitch range of a musical piece or role—is widely accepted as a significant factor in determining whether a singer should perform a given piece or role. However, attempts to quantify tessitura have historically relied on laborious hand calculations. The current study introduces a novel MATLAB program (“Tessa”) that automates tessitura analysis of digital sheet music in the MusicXML format. This program will allow voice teachers and singing voice specialists to assess the appropriateness of musical pieces or roles for their students and clients. Methods Tessa converts sheet music in the open-source MusicXML (MXL or XML) format to a MATLAB-compatible structure array (MAT). Once converted, the program extracts pitch, duration, and lyric information from the structure file, then saves relevant arrays to the user's computer. Finally, Tessa performs analyses on the piece's tessitura data, including histogram, box plot, and descriptive statistical analyses. Variables such as tempo, score part number, and the piece's title are automatically saved in order to facilitate repeated analyses. Results A sample analysis of Franz Schubert's song cycle Winterreise, D.911 is presented, with specific reference to the songs “3. Gefrorne Tranen” and “4. Erstarrung” as examples of pieces with markedly different tessituras—and, consequently, markedly different levels of vocal demand. Discussion Tessa is hosted on a GitHub repository ( https://github.com/Allerseelen/Tessa ) and is intended for open-source use and modification under the GNU General Public License v3.0. Voice teachers, singing voice specialists, and musicians may compare Tessa's analyses with voice range profiles or other assessment tools in order to evaluate repertoire and plan pacing strategies for extended performances.

Many big data applications such as smart transportation, healthcare, and e-commerce need to store and query large collections of small XML documents, which has become a fundamental problem. However, existing solutions are inadequate to deliver satisfactory query performance in such circumstances. In this paper, we propose a framework named XML2HBase to address this problem using HBase, a widely deployed NoSQL database. Within this framework, we design a novel encoding scheme called Pathed-Dewey Order and a two-layer mapping method to store XML documents in HBase tables. XML queries, which are represented as XPath expressions, are evaluated through their translation into queries over HBase tables. Based on an in-depth analysis of the characteristics of the proposed approach, we design and integrate four optimization strategies to reduce storage space and query response time. Extensive experiments on two well-known XML benchmarks demonstrate the superior performance of XML2HBase over three state-of-the-art methods.

Although multi-temporal XML databases supporting schema versioning are used in several domains, like e-commerce, e-health, and e-government, existing database management systems and XML tools do not provide any support for managing (inserting, updating, and deleting) temporal XML data or temporal XML schema versioning. Besides, whereas much research work has focused in the last decade on schema versioning in temporal XML databases, any attention has been devoted to manipulating data in such databases. To fill this theoretical and practical gap, we propose in this paper a generic approach, named TempoX (Temporal XML), for data manipulation in multi-temporal and multi-schema-version XML databases. Indeed, we (i) define a new multi-temporal XML data model supporting temporal schema versioning, named TempoXDM (Temporal XML Data Model), (ii) introduce the principles on which our approach is based, and (iii) provide the specifications of the basic data manipulation operations: “insert”, “replace”, “evolve”, and “delete”. Moreover, to show the feasibility of TempoX, we use it to propose a temporal XML update language, named TempoXUF (Temporal XQuery Update Facility), as an extension of the W3C XQuery Update Facility language to temporal and versioning aspects. Furthermore, to validate our language proposal, we develop a system prototype, named TempoXUF-Manager, that supports TempoXUF.

In this article, we will present the rich linguistic heritage of the Croatian language and our attempts to ensure its preservation and presentation to the general public by means of the "Retro-digitization and Interpretation of Croatian Grammar Books before Illyrism ‒ RETROGRAM" project. There is a long tradition of grammatical description in the history of the Croatian language. The first grammar book of the Croatian language was written at the beginning of the 17th century and the first grammar book written in Croatian was compiled in the middle of the 17th century. In later years, when literary and linguistic activity were transferred from the Dalmatian area to the northern and eastern part of Croatia, the Latin model for the description of the Croatian language was still present, even though German was also used. There were a large number of grammars written up to the second half of the 19th century, which are considered pre-standard Croatian grammars. They are the subject of research within the project "Pre-standard Croatian Grammars" at the Institute of Croatian Language and Linguistics. This research proposal "Retro-digitization and Interpretation of Croatian Grammar Books before Illyrism" aims to create a model for the retro-digitization of the chosen eight Pre-standard Croatian Grammars (written from the 17th until the 19th century). The retro-digitization of Croatian grammar books implies the transfer of printed media to computer-readable and searchable text. It also includes a multilevel mark-up of transcribed or translated grammar text. The next step of the project is the creation of a Web Portal of Pre-standard Croatian Grammars, on which both the facsimiles and the digitized text of the grammars will be presented. Our aim is to present to the wider and international public the attainments of the Croatian language and linguistics as an important part of Croatian culture in general. Keywords: pre-standard Croatian grammars, history of the Croatian language, retro-digitization, Extensible mark-up language, Text encoding initiative, web portal of pre-standard Croatian grammars

With the increase of applications using 3D models as base for visualization or simulation the requirements for having valid models rises. While there are many programs that validate models there is no standard for storing the results. The simulation programs also may implement their own validation checking to verify if a model can be simulated which may be error prone or not extensive enough for their purpose. This paper provides an extension for the CityGML format to store the validation result. With the available validation information software using the extension can improve their process of working with models containing errors. CityGML model manufacturers may also improve their creation process of the model as well as deliver them validated.

Standards are an important source of knowledge in product development. Due to the increasing digitization of the product development process, standard development organizations aim to develop machine-actionable standards that automatically enforce operations in output devices. However, the current representation format in PDF or XML does not meet the requirements of machine-actionable standards. This paper examines existing approaches towards the representation of XML data in knowledge graphs and their transferability towards the domain of digital standards. Based on these approaches, the paper aims to develop and validate a concept for transferring standard content from XML format to a graph-based representation, using the example of formulas. For this purpose, a concept for the automatic identification, extraction and modeling of formulas will be presented. Afterwards, the concept is validated using the example of DIN ISO 281 whereas a chatbot application serves as conversational user interface. It is proven, that knowledge graphs are suitable for the representation of machine-actionable standard content. Future work will investigate the abstraction towards a general approach as well as further information objects of standards.

This paper describes the procedure of building a TEI-XML corpus of spoken Serbian starting from raw transcripts. The corpus consists of semi–structured interviews, which were gathered with the aim of investigating forms of address in Serbian. The interviews were thoroughly transcribed according to GAT transcribing conventions. However, the transcription was carried out without tools that would control the validity of the GAT syntax, or align the transcript with the audio records. In order to offer this resource to a broader audience, we resolved the inconsistencies in the original transcripts, normalised the semi-orthographic transcriptions and converted the corpus into a TEI-format for transcriptions of speech. Further, we enriched the corpus by tagging and lemmatising the data. Lastly, we aligned the corpus turns to the corresponding audio segments by using a force-alignment tool. In addition to presenting the main steps involved in converting the corpus to the XML-format, this paper also discusses current challenges in the processing of spoken data, and the implications of data re-use regarding transcriptions of speech. This corpus can be used for studying Serbian from the perspective of interactional linguistics, for investigating morphosyntax, grammar, lexicon and phonetics of spoken Serbian, for studying disfluencies, as well as for testing models for automatic speech recognition and forced alignment. The corpus is freely available for research purposes.

Broadcasting is one of the basic ways to access XML data via mobile wireless networks. In these networks, XML data are disseminated over a wireless broadcast channel and mobile clients can connect to this channel via portable devices and receive the XML data they need. To date, various indexing methods have been proposed to broadcast the XML data over mobile wireless broadcast networks, each of which attempts to reduce the latency and energy consumption of mobile devices in processing the different types of XML queries. Most of the proposed indexing methods use only a single wireless broadcast channel for XML data dissemination. Due to the sequential data access over a wireless broadcast channel, the access time to retrieve the desired XML data over a broadcast channel is longer if the length of generated XML data stream is large. This paper proposes two new XML data placement schemes to disseminate the XML data over multiple wireless broadcast channels by partitioning the XML data stream into several partitions and placing them into multiple wireless broadcast channels. The goal of both of which is a further reduction of the access time during the process of XML querying over the broadcast channels. According to the experimental results, the proposed XML data placement schemes have achieved the goal of further reducing the access time, especially when the size of XML document to be disseminated is large.

Objectives Pseudonymization is an important aspect of projects dealing with sensitive patient data. Most projects build their own specialized, hard-coded, solutions. However, these overlap in many aspects of their functionality. As any re-implementation binds resources, we would like to propose a solution that facilitates and encourages the reuse of existing components. Methods We analyzed already-established data protection concepts to gain an insight into their common features and the ways in which their components were linked together. We found that we could represent these pseudonymization processes with a simple descriptive language, which we have called MAGICPL, plus a relatively small set of components. We designed MAGICPL as an XML-based language, to make it human-readable and accessible to nonprogrammers. Additionally, a prototype implementation of the components was written in Java. MAGICPL makes it possible to reference the components using their class names, making it easy to extend or exchange the component set. Furthermore, there is a simple HTTP application programming interface (API) that runs the tasks and allows other systems to communicate with the pseudonymization process. Results MAGICPL has been used in at least three projects, including the re-implementation of the pseudonymization process of the German Cancer Consortium, clinical data flows in a large-scale translational research network (National Network Genomic Medicine), and for our own institute's pseudonymization service. Conclusions Putting our solution into productive use at both our own institute and at our partner sites facilitated a reduction in the time and effort required to build pseudonymization pipelines in medical research.

Modern day cloud native applications have become broadly representative of distributed systems in the wild. However, unlike traditional distributed system models with conceptually static designs, cloud-native systems emphasize dynamic scaling and on-line iteration (CI/CD). Cloud-native systems tend to be architected around a networked collection of distinct programs ("microservices") that can be added, removed, and updated in real-time. Typically, distinct containerized programs constitute individual microservices that then communicate among the larger distributed application through heavy-weight protocols. Common communication stacks exchange JSON or XML objects over HTTP, via TCP/TLS, and incur significant overhead, particularly when using small size message sizes. Additionally, interpreted/JIT/VM-based languages such as Javascript (NodeJS/Deno), Java, and Python are dominant in modern microservice programs. These language technologies, along with the high-overhead messaging, can impose superlinear cost increases (hardware demands) on scale-out, particularly towards hyperscale and/or with latency-sensitive workloads.

With the mutual exchange and integration of world football, modern football is in an increasingly comprehensive direction. This research mainly discusses complexity computer simulation in the study of the overall play of campus football. Complexity computer simulation is used to design the background of the simulated football field, and the area is divided according to the size ratio of the actual football field. Then, it uses drawing software to draw the football and player controls. The construction of the knowledge base of this paper is mainly combined with the functional modules of rapid formation and response tactics. In the fast formation function, the required formation can be quickly given through football experience and knowledge rules. In the applied tactics function, for the responsibilities of forwards, midfielders, defenders, and other roles, the tactics implemented are given, including partially coordinated offensive and defensive tactics, personal offensive and defensive tactics, and set-ball tactics. The “holistic play” football tactics studied in this paper use XML files as recording and playback data, which not only greatly reduce the amount of file data but also make the operation of XML files intuitive and simple. XML can not only realize the recording and playback of player and football track but also be used in the function of rapid formation. The coach uses the “holistic play” football tactics simulation to demonstrate the movement route through the image, guide the players in each position to perceive the game scene by observing the movement route, and analyze and judge the tactical coordination of their respective positions. The computer simulation tactical analysis of the precision of the passing and running and the path coefficient of the passing factor is 0.606 and 0.59, respectively. This research helps to provide guidance on the overall playing tactics of football.

XML has numerous uses in a wide variety of web pages and applications. Some common uses of XML include tasks for web publishing, web searching and automation, and general application such as for utilize, store, transfer and display business process log data. The amount of information expressed in XML has gone up rapidly. Many works have been done on sensible approaches to address issues related to the handling and review of XML documents. Mining XML documents offera way to understand both the structure and the content of XML documents. A common approach capable of analysing XML documents is frequent subtree mining.Frequent subtree mining is one of the data mining techniques that finds the relationship between transactions in a tree structured database. Due to the structure and the content of XML format, traditional data mining and statistical analysis hardly applied to get accurate result. This paper proposes a framework that can flatten a tree structured data into a flat and structured data, while preserving their structure and content.Enabling these XML documents into relational structured data allows a range of data mining techniques and statistical test can be applied and conducted to extract more information from the business process log.

This tutorial is designed for those who want an introduction to building a digital library using an open source software program. The tutorial will focus on the Greenstone digital library software. In particular, participants will work with the Greenstone Librarian Interface, a flexible graphical user interface designed for developing and managing digital library collections. Attendees do not require programming expertise, however they should be familiar with HTML and the Web, and be aware of representation standards such as Unicode, Dublin Core and XML. The Greenstone software has a pedigree of more than two decades, with over 1 million downloads from SourceForge. The premier version of the software has, for many years, been Greenstone~2. This tutorial will introduce users to Greenstone 3---a redesign and reimplementation of the original software to take better advantage of newer standards and web technologies that have been developed since the original implementation of Greenstone. Written in Java, the software is more modular in design to increase the flexibility and extensibility of the software design. Emphasis in the tutorial is placed on where Greenstone~3 goes beyond what Greenstone~2 can do. Through the hands-on practical exercises participants will, for example, build collections where geo-tagged metadata embedded in photos is automatically extracted and used to provide a map-based view in the digital library of the collection.

Starting in 2020, some businesses in Ukraine will submit financial statements to government agencies in eXtensible Business Report-ing Language format. These changes in the current legislation require companies that fall under this legislation to use new approaches in preparing and submitting financial statements. eXtensible Business Reporting Language, which stands for eXtensible Business Reporting Language, is an XML-based language for tagging financial data, and enabling businesses to efficiently and accurately process and share their data. eXtensible Business Reporting Language taxonomies play the important role in financial reporting. On the one hand, they pro-vide a system of computer-readable tags to allow the interchange of interactive information. On the other hand, a systematic, agreed-upon convention for naming each taxonomy tag is needed. The International Financial Reporting Standards taxonomy does not include tags for industry International Financial Reporting Standards reporting. Although the International Financial Reporting Standards taxonomy provides opportunities for expansion, taking into account the specifics of individual industries, not all jurisdictions will require or allow the use of the possibility of expansion. The purpose of the article is to identify the advantages and disadvantages of implementing the eXtensible Business Reporting Language format for the presentation of financial statements in Ukraine under International Financial Reporting Standards, as well as possible ways to organize this process in domestic enterprises. The results of the study identified the benefits of implementing such reporting for different groups of users of financial reporting information. It is determined that the algorithm of preparation for the transition to reporting in eXtensible Business Reporting Language consists of the following steps: 1) checking their own IT systems for the ability to generate reports in eXtensible Business Reporting Language format; 2) mapping of data from IT systems and extended taxonomy UA eX-tensible Business Reporting Language International Financial Reporting Standards; 3) eXtensible Business Reporting Language validation.Keywords: financial statements, international financial reporting standards, taxonomy, XBRL, iXBRL. Починаючи з 2020 р. частина суб’єктів господарювання в Україні подаватиме фінансову звітність державним органам у форматі XBRL. Такий підхід є розповсюдженим у міжнародній практиці, проте достатньо новим для суб’єктів господарювання в Україні. Метою статті є визначення переваг та недоліків упровадження формату XBRL для подання фінансової звітності в Україні за МСФЗ, а також можливих способів організації цього процесу на вітчизняних підприємствах. За результатами дослідження встановлено переваги впровадження такого звітування для різних груп користувачів інформації фінансової звітності. Визначено, що алгоритм підготовки до переходу на звітування у XBRL складається з таких кроків: 1) перевірка власних ІТ-систем на предмет можливості формувати звітність у форматі XBRL; 2) мапінг даних із ІТ-систем і розширеної таксономії UA XBRL МСФЗ; 3) валідація XBRL.Ключові слова: фінансова звітність, міжнародні стандарти фінансової звітності, таксономія, XBRL, iXBRL.

Many applications use contexts to understand their environments and make adaptation. However, contexts are often inaccurate or even conflicting with each other (a.k.a. context inconsistency ). To prevent applications from behaving abnormally or even failing, one promising approach is to deploy constraint checking to detect context inconsistencies. A variety of constraint checking techniques have been proposed, based on different incremental or parallel mechanisms for the efficiency. They are commonly deployed with the strategy that schedules constraint checking immediately upon context changes. This assures no missed inconsistency, but also limits the detection efficiency. One may break the limit by grouping context changes for checking together, but this can cause severe inconsistency missing problem (up to 79.2 percent). In this article, we propose a novel strategy GEAS to isolate latent interferences among context changes and schedule constraint checking with adaptive group sizes. This makes GEAS not only improve the detection efficiency, but also assure no missed inconsistency with theoretical guarantee. We experimentally evaluated GEAS with large-volume real-world context data. The results show that GEAS achieved significant efficiency gains for context inconsistency detection by 38.8-566.7 percent (or 1.4x-6.7x). When enhanced with an extended change-cancellation optimization, the gains were up to 2,755.9 percent (or 28.6x).

Automatic text summarization is considered as an important task in various fields in natural language processing such as information retrieval. It is a process of automatically generating a text representation. Text summarization can be a solution to the problem of information overload. Hence, with the large amount of information available on the Internet, the presentation of a document by a summary helps to get the most relevant result of a search. We propose in this paper a new free Arabic structured corpus in the standard XML TREC format. ANT corpus v2.1 is collected using RSS feeds from different news sources. This corpus is useful for multiple text mining purposes such as generic text summarization, clustering or classification. We test this corpus for an unsupervised single-document extractive summarization using statistical and graph-based language-independent summarizers such as LexRank, TextRank, Luhn and LSA. We investigate the sensitivity of the summarization process to the stemming and stop words removal steps. We evaluate these summarizers performance by comparing the extracted texts fragments to the abstracts existing in ANT corpus v2.1 using ROUGE and BLEU metrics. Experimental results show that LexRank summarizer has achieved the best scores for the ROUGE metric using the stop words removal scenario.

The idea of Smart contracts foresees the possibility of automating contractual clauses using hardware and software tools and devices. One of the main perspectives of their implementation is the automation of interactions such as bets, collaterals, prediction markets, insurances. As blockchain platforms, such as Ethereum, offer very strong guarantees of untampered, deterministic execution, that can be exploited as smart contracts substrate, the problem of how to provide reliable information from the “outside world” into the contracts becomes central. In this article, we propose a system based on a Merkle tree representation of structured documents (such as all XML), with which it is possible to generate compact proofs on the content of web documents. The proofs can then be efficiently checked on-chain by a smart contract, to trigger contract action. We provide an end-to-end proof of concept, applying it to real use case scenarios, which allows us to give an estimate of the costs.

Injection attacks against web applications are still frequent, and organizations like OWASP places them within the Top Ten of security risks to web applications. The main goal of this work is to contribute to the community with the design of an effective protection of web applications against common injection attacks. Our proposal is a validation filter of input fields that is based on OWASP Stinger, a set of regular expressions, and a sanitization process. It validates both fundamental characters (letters, numbers, dot, dash, question marks, and exclamation point) and complex statements (JSON and XML files) for each field. The procedure of deploying the proposed filter is detailed, specifying the sections and contents of the configuration file. In addition, the infrastructure for running the tests is described, including the setting of an attack tool, and the implementation of a controller. The attack tool is used as a security scanner for common injection attacks, and the controller is developed for routing the requests in two steps; first a request is addressed to the filter, and if it is valid, it will redirect to the web application itself. The proposal filter has been tested on three public as well as on a real private web application. An accuracy of 98,4% and an average processing time of 50 ms are achieved, based on wich it is possible to conclude the proposed filter is highly reliable and does not require additional computational resources.

Praxeme is an enterprise methodology that combines the two approaches SOA and MDA to build an information system. It is based on the ideology of separating the business concern into a homogeneous set called "aspect" to better control the usual complexity of a system. The instantiation of the ReLEL requirements model in the Praxeme methodology is an interesting approach to improve the quality of the software development process because it not only allows to specify the user requirements but also to represent the very precise conceptual level of the future system to be designed. Therefore, this article deals with the automatic generation of SOAP web services that represent the software aspect of the Praxeme methodology from the intentional aspect specified by the ReLEL requirements model. To achieve this, we proceeded in two steps, namely the proposal of the rules for deriving the Praxeme Logical Factory Model (logical aspect) into a Web Service Description Language model or WSDL (software aspect) classified as Model to Model Transformation (M2M) in the MDA approach and then the proposal of the rules for translating the WSDL model into a WSDL document known as Model to Text Translation (M2T). The result obtained from the approach proposed in this paper is a WSDL file which is an XML language allowing the complete description of a Web service. We used ATL for the implementation of the M2M approach transformation rules and then the Acceleo template engine for the translation of the M2T.

Using technology to create online examination is important, more than that, exploring the recent research in the area of standardization of the learning and the assessment content is of paramount. However, there is still a lack of reusable, interoperable and exchangeable learning resources that afford much motivation to instructors. Assessing acquired knowledge is the primary task of any Learning Management Systems (LMS). Consequent-ly, sharing evaluation contents is a major challenge for software engineering. In this paper, we present the “CleverTesting” assessment authoring tool, focusing on its architecture and its conformance to the Question and Test Interoperability (QTI) specification proposed by IMS Global Learning Consortium. We adopt the QTI specification to create reusable, interoperable and sharable assessment content. Our system has three important components: The first component is “CleverTesting” a quiz authoring tool that allows building sharable question items. The second represents a question bank. The latest component is a player for interpreting and parsing QTI XML documents.

In this paper, we advise Digital Elevation Model (DEM) and Terrain Mapping from the 3-D map that's received from the dataset received from the surface surroundings the usage of LiDAR. Human existence is surrounded through a range of sensors. Through the aggregate of diverse sensors, a fashion dressmaker can carry out environmental trying out then update the human notion system. This software offers with the interfacing of LiDAR with Robot running Software (ROS). The cause cloud is calibrated from XML layout to YAML layout. The homes of the specified surroundings are often.

Automatic information extraction from online published scientific documents is useful in various applications such as tagging, web indexing and search engine optimization. As a result, automatic information extraction has become among the hottest areas of research in text mining. Although various information extraction techniques have been proposed in the literature, their efficiency demands domain specific documents with static and well-defined format. Furthermore, their accuracy is challenged with a slight modification in the format. To overcome these issues, a novel ontological framework for information extraction (OFIE) using fuzzy rule-base (FRB) and word sense disambiguation (WSD) is proposed. The proposed approach is validated with a significantly wider document domains sourced from well-known publishing services such as IEEE, ACM, Elsevier, and Springer. We have also compared the proposed information extraction approach against state-of-the-art techniques. The results of the experiment show that the proposed approach is less sensitive to changes in the document format and has a significantly better average accuracy of 89.14% and F-score as 89%.

Objetivo: realizar el análisis de sustentabilidad de la iniciativa latinoamericana Redalyc.org, basado en dos aspectos primordiales, el económico y la necesidad de su existencia.Método: se efectúa la medición de las horas-hombre requeridas para publicar un artículo científico, usando Marcalyc. Se procesan 40 artículos publicados en revistas científicas de diferentes áreas del saber, pertenecientes a Brasil, Chile, Colombia, México y Venezuela, usando dicha herramienta.Resultados: se obtiene que la marcación tarda en promedio el 86,3% (SD=4,2%) del tiempo total de procesamiento, repartido en partes casi iguales entre el contenido del artículo (body) (media=48,3%, SD=9,5%) y las referencias, notas, agradecimiento, apéndice y glosario (back) (media=43,2%, SD=9,3%).Conclusiones: La sustentabilidad del modelo de publicación de Redalyc, está más garantizada en el aspecto económico por dos razones, los tiempo de procesamiento para generar el XML-JATS son mucho menores que los de SciELO y además hace uso de una herramienta de marcación (Marcalyc), que puede ser utilizada directamente por el equipo editorial de una revista, sin necesidad de conocimientos técnicos especializados. Esto favorece la sustentabilidad del modelo de publicación científica en acceso abierto latinoamericano y devuelve el control del proceso de publicación a los editores.

the revolution in the Internet of Things (IoT), creates new challenges for the field of robotics. For the construction of applications and communication of robotic systems with the cloud, certain protocols and concepts were created which facilitate and standardize this interconnection process. This article shows a specific application of the integration of the IoT concept with robotics, represented as an autonomous path repair and maintenance system with a robotic system in the cloud, which uses web services and communication protocols such as XML and BPEL to The interconnection between the information necessary for the repair and maintenance of the roads, decision making and tasks assigned between robots. In this way, it is demonstrated how it is possible to articulate all the concepts to achieve solutions in a real road repair scenario. La revolucion del internet de las cosas - IoT, genera nuevos retos para el campo de la robotica; Para la construccion de las aplicaciones y comunicacion de los sistemas roboticos, con la nube, fueron creados protocolos y conceptos, que facilitan y estandarizan la interconexion, algunos de estos conceptos son: servicios web, programacion XML, sistema WS-BPEL, Arquitectura Orientada Servicio, Big data y computacion en la nube. Este articulo, muestra una aplicacion especifica de la integracion del concepto de IoT con la robotica, representado por un sistema de reparacion y mantenimiento de vias autonomo, con un sistema robotico en la nube, el cual utiliza servicios web y protocolos de comunicacion como XML y BPEL para la interconexion entre la informacion necesaria para la reparacion y mantenimiento de las vias, usados en la toma de decisiones y tareas asignadas entre los robots. De esta manera, se demuestra, como es posible articular todos los conceptos, para lograr soluciones en un escenario real de reparacion de vias.

The proposed model of network (decentralized) integration is based on CALS and PLM concepts and minimizes their deficiencies. XML technology is recommended for information transmission between the CAD applications, and a 3D model of the part is used to store the engineering data. This approach is implemented by means of CAM software for the KOMPAS-3D platform. As an example, integration of CAM applications with the ASCON VERTICAL CAPP system is considered.

Electronic invoicing has been mandatory for Italian companies since January 2019. All the invoices are structured in a predefined xml template which facilitates the extraction of the information. The main aim of this paper is to exploit the information contained in electronic invoices to build an intelligent system which can simplify accountants&rsquo, work. More precisely, this contribution shows how it is possible to automate part of the accounting process: all the invoices of a company are classified into specific codes which represent the economic nature of the financial transactions. To accomplish this classification task, a multiclass classification algorithm is proposed to predict two different target variables, the account and the VAT codes, which are part of the general ledger entry. To apply this model to real datasets, a multi-step procedure is proposed: first, a matching algorithm is used for the reconstruction of the training set, then input data are elaborated and prepared for the training phase, and finally a classification algorithm is trained. Different classification algorithms are compared in terms of prediction accuracy, including ensemble models and neural networks. The models under comparison show optimal results in the prediction of the target variables, meaning that machine learning classifiers succeed in translating the complex rules of the accounting process into an automated model. A final study suggests that best performances can be achieved considering the hierarchical structure of the account codes, splitting the classification task into smaller sub-problems.

Todays, XML as a de facto standard is used to broadcast data over mobile wireless networks. In these networks, mobile clients send their XML queries over a wireless broadcast channel and recieve their desired XML data from the channel. However, downloading the whole XML data by a mobile device is a challenge since the mobile devices used by clients are small battery powered devices with limited resources. To meet this challenge, the XML data should be indexed in such a way that the desired XML data can be found easily and only such data can be downloaded instead of the whole XML data by the mobile clients. Several indexing methods are proposed to selectively access the XML data over an XML stream. However, the existing indexing methods cause an increase in the size of XML stream by including some extra information over the XML stream. In this paper, a new XML stream structure is proposed to disseminate the XML data over a broadcast channel by grouping and summarizing the structural information of XML nodes. By summarizing such information, the size of XML stream can be reduced and therefore, the latency of retrieving the desired XML data over a wirless broadcast channel can be reduced. The proposed XML stream structure also contains indexes in order to skip from the irrelevant parts over the XML stream. It therefore can reduce the energy consumption of mobile devices in downloading the results of XML queries. In addition, our proposed XML stream structure can process different types of XML queries and experimental results showed that it improves the performace of XML query processing over the XML data stream compared to the existing research works in terms of access and tuning times.

Hospitals often set protocols based on well defined standards to maintain the quality of patient reports. To ensure that the clinicians conform to the protocols, quality assurance of these reports is needed. Patient reports are currently written in free-text format, which complicates the task of quality assurance. In this paper, we present a machine learning based natural language processing system for automatic quality assurance of radiology reports on breast cancer. This is achieved in three steps: we i) identify the top-level structure (headings) of the report, ii) classify the report content into the top-level headings, and iii) convert the free-text detailed findings in the report to a semi-structured format (post-structuring). Top level structure and content of report were predicted with an F1 score of 0.97 and 0.94, respectively, using Support Vector Machine (SVM) classifiers. For automatic structuring, our proposed hierarchical Conditional Random Field (CRF) outperformed the baseline CRF with an F1 score of 0.78 versus 0.71. The determined structure of the report is represented in semi-structured XML format of the free-text report, which helps to easily visualize the conformance of the findings to the protocols. This format also allows easy extraction of specific information for other purposes such as search, evaluation, and research.

The formation of analytics scenarios in tasks of three-dimensional modeling for such a subject domain (SD) as modeling the consequences of natural phenomena is performed. The formation of scenarios is influenced not only by knowledge related to the peculiarities of the operation of the SD, but also by the technological environment in which such a scenario should be implemented. To simplify the process formation multilevel GIS analytics scenarios has proposed BPMN-methodology of description business processes. This methodology allows not only to present the analytics scenarios as a set of BPMN notation graphical elements, but also to serialize the model into an XML file to create a script database.It is presented an example scenario GIS analytics as well as its implementation in cooperation with GIS-technologies of specialized forecasting and modeling complex based on ArcGIS Esri for estimating the consequences of the flood zone of the Tisza River. This scenario GIS analytics using BPMN-technology in combination with the OWL model of the convertible scenario. To implement the scenario GIS analytics has involved in three different participants: an emergency expert: expert cartographer; expert hydrologist. The example illustrates the interaction between of different experts and GIS-technologies, using graphical elements to describe tasks, functions, logical operators, subprocesses, event conditions and alternative transitions within the multilevel scenario of GIS-analytics. The clarity being embedded in the graphical representation of the scenario allows specialists and managers to understand the peculiarities of the processes of interaction of experts with GIS-technologies also see their weak-nesses. Tabl.: 1. Fig.: 9. Refs: 18 titles.