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We present the Danish Disease Trajectory Browser (DTB), a tool for exploring almost 25 years of data from the Danish National Patient Register. In the dataset comprising 7.2 million patients and 122 million admissions, users can identify diagnosis pairs with statistically significant directionality and combine them to linear disease trajectories. Users can search for one or more disease codes (ICD-10 classification) and explore disease progression patterns via an array of functionalities. For example, a set of linear trajectories can be merged into a disease trajectory network displaying the entire multimorbidity spectrum of a disease in a single connected graph. Using data from the Danish Register for Causes of Death mortality is also included. The tool is disease-agnostic across both rare and common diseases and is showcased by exploring multimorbidity in Down syndrome (ICD-10 code Q90) and hypertension (ICD-10 code I10). Finally, we show how search results can be customized and exported from the browser in a format of choice (i.e. JSON, PNG, JPEG and CSV)., The Danish health system has been collecting health-related data on the entire Danish population for years. Here the authors present the Danish Disease Trajectory Browser (DTB), which allows users to explore population-wide disease progression patterns from data collected between 1994 and 2018.

JSON parser, that has been developed, is made of two modules, each dedicated to process structure of either an object or an array. In both modules, building step of document model, that represents its structure, is combined with tokenization step. Design and development of algorithm is aimed at improving speed of parsing of documents.

In the Covid-19 pandemic phase, some business processes were halted, adapted, and modified to deal with the policy of social restrictions. This impact is experienced by all levels of society, including athletes who are forced to do training from home (Training From Home). Performance evaluation of athletes who do exercises from home must be able to be evaluated remotely, including in terms of presence during the exercise training program. Presence is one of the benchmarks of a person's level of performance or activity in terms of accuracy and discipline in a program of activities. Attendance activities in the form of check-in must be ensured safe and accurate, especially if there is data connectivity with the webserver. This study aims to implement security features with JSON Web Token (JWT) based on the 256 Hash algorithm. The research also implements geo-tagging features to obtain accurate coordinates based on location points. Athlete attendance data obtained by the presence of these features are then synchronized via web service using the REST architecture. All stages of implementation are then tested by the Black Box method, and the results show that JSON Web Token (JWT) is able to secure the authentication and data security process, while the Geo-tagging feature is capable of sending accurate position data. Testing the functionality of the web service shows that all features work well within 44.8 ms, while the positioning accuracy of the geo-tagging feature reaches an accuracy of 90.9%.

REST APIs are gaining a tremendous attraction in industry and a growing usage in mobile platforms. They are well suited for providing content to apps running on small devices, like smartphones and tablets. Several research works studied REST APIs development practices for mobile apps. However, little is known about how Android apps use/consume these APIs in practice. Consequently, we propose a multi-dimensional study on the state of the practice of REST APIs usage in Android apps. We follow three directions: analysing of Android apps, mining Stack Overflow posts on REST APIs usage in Android apps, and surveying Android developers about their usage of REST APIs in their mobile apps. We (1) build a catalog of Android REST mobile clients practices, (2) propose an automatic approach to detect these practices, (3) analyze 1595 Android apps downloaded from the Google Play store, (4) mine 12,478 Stack Overflow posts to study REST APIs usage in Android apps, and (5) conduct an online survey with 118 Android developers to understand their usage of these practices. We report that only two good practices are widely considered by Android developers when implementing their mobile apps. These practices are network connectivity awareness and JSON versus XML response parsing. We also report Android developers’ recommendations for the use of third-party HTTP libraries and their role in implementing the recommended practices.

Analysis of various presentations for context free grammars provided with parser generators. A new description format of context free grammars is proposed. Given a representation of context free grammar in JSON format. The concept of a new parser generator based on JSON data format of describing context free grammars is presented. Described a parser generation scheme based on that concept.

Both RDBMS and NoSQL database vendors have added varying degrees of support for storing and processing JSON data. Some vendors store JSON directly as text while others add new JSON type systems backed by binary encoding formats. The latter option is increasingly popular as it enables richer type systems and efficient query processing. In this paper, we present our new native JSON datatype and how it is fully integrated with the Oracle Database ecosystem to transform Oracle Database into a mature platform for serving both SQL and NoSQL style access paradigms. We show how our uniquely designed Oracle Binary JSON format (OSON) is able to speed up both OLAP and OLTP workloads over JSON documents.

JSON is probably one of the most popular data formats in the Internet of Things (IoT). It has gained popularity among developers due to its easy readability. The disadvantage of this format is the size of the resulting document and the associated bandwidth requirements. In order for us to be able to transfer such data securely, it is necessary to secure it before transferring it. Often, this data is compressed before it is encrypted. This article deals with a non-standard method of data compression, which reduces the computational demands on the device side. It should be noted that many of these devices are powered by batteries with limited capacity.

The large volume and variety of data produced in the current Big Data era lead companies to seek solutions for the efficient data management. Within this context, NoSQL databases rise as a better alternative to the traditional relational databases, mainly in terms of scalability and availability of data. A usual feature of NoSQL databases is to be schemaless, i.e., they do not impose a schema or have a flexible schema. This is interesting for systems that deal with complex data, such as GIS. However, the lack of a schema becomes a problem when applications need to perform processes such as data validation, data integration, or data interoperability, as there is no pattern for schema representation in NoSQL databases. On the other hand, the JSON language stands out as a standard for representing and exchanging data in document NoSQL databases, and JSON Schema is a schema representation language for JSON documents that it is also leading to become a standard. However, it does not include spatial data types. From this limitation, this paper proposes an extension to JSON Schema, called JS4Geo, that allows the definition of schemas for geographic data. We demonstrate that JS4Geo is able to represent schemas of any NoSQL data model, as well as other standards for geographic data, like GML and KML. We also present a case study that shows how a data integration system can benefit of JS4Geo to define local schemas for geographic datasets and generate an integrated global schema.

When QGIS 3.0 was released in 2018, it added support for 3D visualisation. At the same time, CityJSON has been developing as an easy‐to‐use JavaScript Object Notation (JSON) encoding for 3D city models using the CityGML 2.0 data model. Together, this opened the possibility to support semantic 3D city models in the popular open‐source GIS software for the first time. In order to add support for 3D city models in QGIS, we have developed a plugin that enables CityJSON datasets to be loaded. The plugin parses a CityJSON file and analyses its tree structure to identify all city objects. Then, the geometry and attributes of every city object are transformed into QGIS features and divided into layers according to user preferences. CityJSON parsing was proven to be straightforward and consistent when tested against several open datasets. One of the biggest challenges we faced, though, was mapping CityJSON’s hierarchical data structure to the relational model of QGIS. We undertook this issue by providing various methods on how geometries from the model are loaded as QGIS features. We intend to use the plugin for educational purposes in our university and we believe it can be proven a worthy tool for researchers and practitioners.

We extend the concept of cross-device user interfaces into the new, more general, concept of omni-channel user interfaces to better reflect the technological variety offered for developing multi-target user interfaces for interactive applications. We present a model-based approach for developing runtime omni-channel user interfaces for multi-target applications, which consists of: (1) OpenUIDL, a user interface description language for describing omni-channel user interfaces with its semantics by a meta-model and its syntax based on JSON, (2) the definition of a step-wise approach for producing runtime interactive applications based onOpenUIDLwith integration into the development life cycle, (3) the development of a cloud-based, OpenUIDL compliant, Interactive Development Environment that supports the application and the enactment of the step-wise approach and its illustration on several multi-target user interfaces.

Penelitian ini bertujuan untuk merancang pengembangan sistem informasi jadwal penerbangan yang memberikan informasi waktu yang sesungguhnya berdasarkan keberadaan pesawat dalam penerbangan kepada pengguna, dan menghasilkan sebuah sistem informasi jadwal penerbangan yang real time sehingga dapat memberikan informasi waktu kadatangan pesawat secara tepat. Dalam perancangan pengembangan sistem informasi jadwal penerbangan menggunakan UML Univ (data flow diagram) dan perancangan aplikasinya menggunakan teknologi mobile dengan pemanfaatan web services/API untuk mengakses informasi jadwal penerbangan dan informasi cuaca. Jadwal pererbangan berupa file json yang diperoleh dari website FIDS bandara hasanuddin Makassar, sedangkan informasi cuaca bandara asal dan bandara tujuan penumpang diperoleh dari API Open Wheater.

This study describes the development of an Air Quality GeoPortal (AQG) via a Web-basedGeographic Information System (WebGIS) in Istanbul in Turkey. The system has been developed for onlineuse to present the concentrations of PM10, SO2, NOX, NO, NO2 CO, as well as meteorological data(temperature, humidity, wind speed and direction) based on hourly data from each air quality monitoringstation. A prototype system is providing the viewing, querying and downloading of up-to-date air qualitymaps on web pages via a Web Based GIS system based on Open Geospatial Consortium (OGC) webservices. Furthermore, the integration of a Web Map Service-Time (WMS-T) with air quality data allowsusers to access previous data and related maps by specifying a time value on a web page. Thus, it ispossible to download air quality parameters in desktop GIS systems and web pages in map format for adesired time interval. The system architecture is based on open source software integration includingGeoServer and OpenLayers functions, MySQL database for data management, with HTML, JavaScript andPHP as programming languages in both the server and client scripting. Furthermore, the user interfacesare programmed to provide user-data interaction via web. The application includes the facility todownload air quality data on an hourly basis raster (Tiff, Bmp, and Jpeg) and vector (ShapeFile, GML, Jsonand CSV) format.

The last few years have witnessed a vast evolution in the communication and computational fields. The presence of social media makes data transferring more easier, which raises a flag of unauthorized usage and redistribution of digital contents. This copyright scenario is hardly affecting the publishing rights of authors and publishers. This paper presents a robust framework that protects the copyright property where only the authorized users legally use the data and prevents the illegal using or copying of data. The proposed framework is based on Digital Right Management (DRM) and includes two robust cryptosystems; Advanced Encryption Standard (AES) and Elliptic Curve Cryptography (ECC) algorithms. The multimedia contents are encrypted using the AES-256 algorithm, while the shared key is encrypted using the ECC algorithm. The authorized user can utilize the copyrighted contents if the authorization is not expired. The license generation is done by a lightweight data-interchange format JavaScript Object Notation (JSON), and the license is validated using the Elliptic Curve Digital Signature Algorithm. The evaluation of the system has shown that it is fulfilling all the requirements of DRM technology with low cost, availability, platform independently, reliability and scalability since it is implemented on a cloud platform.

In this paper, we introduce Canis, a high-level domain-specific language that enables declarative specifications of data-driven chart animations. By leveraging data-enriched SVG charts, its grammar of animations can be applied to the charts created by existing chart construction tools. With Canis, designers can select marks from the charts, partition the selected marks into mark units based on data attributes, and apply animation effects to the mark units, with the control of when the effects start. The Canis compiler automatically synthesizes the Lottie animation JSON files, which can be rendered natively across multiple platforms. To demonstrate Canis’ expressiveness, we present a wide range of chart animations. We also evaluate its scalability by showing the effectiveness of our compiler in reducing the output specification size and comparing its performance on different platforms against D3.

Two designs, the Transaction Serial Format (TSF) and the Transaction Array Model (TAM), are presented. Together, they provide full, efficient, transaction serialization facilities for devices with limited onboard energy, such as those in an Internet of Things (IoT) network. TSF provides a compact, non-parsed, format for transactions, which can be deserialized with minimal processing. TAM provides an internal data structure, that can be constructed with minimal dynamic storage directly using the elements of TSF. TSF is built from simple lexical units that do not require parsing to be extracted from a serialized transaction. The lexical units contain enough information to efficiently allocate the internal TAM data structure. TSF generality is shown by exhibiting its equivalence to XML and JSON. The TSF representation of any XML document or JSON object can be serialized and deserialized without loss of information, including whitespace. The XML equivalence provides a foundation for the performance comparisons. TSF efficiency is shown by comparing the performance of reference implementations of TSF and TAM, written in C, to the performance of the popular Expat XML library, also written in C. TSF deserialization is shown to reduce processor time by more than 80%, demonstrating the efficiency of the design.

Internet dan teknologi web telah menyediakan sarana yang dapat diandalkan untuk berbagi data dan aplikasi. Namun, latensi pemuatan data masih menjadi kendala. Dalam beberapa literatur, metode cache terbukti meningkatkan waktu penyajian halaman web dengan mengurangi proses permintaan pada database. Namun, metode ini tidak mencegah web mengakses server untuk mengambil data cache dalam database, latensi dalam memuat data masih terjadi. Makalah ini menyajikan metode prefetch dengan mengubah data menjadi file data yang diformat JSON sebagai cache, data diperoleh dengan mudah tanpa harus melakukan proses permintaan. Hasil pengujian menunjukkan bahwa aplikasi web menjadi lebih responsif dalam menyajikan data.

Document database systems store self-describing semi-structured records, such as JSON, "as-is" without requiring the users to pre-define a schema. This provides users with the flexibility to change the structure of incoming records without worrying about taking the system offline or hindering the performance of currently running queries. However, the flexibility of such systems does not free. The large amount of redundancy in the records can introduce an unnecessary storage overhead and impact query performance. Our focus in this paper is to address the storage overhead issue by introducing a tuple compactor framework that infers and extracts the schema from self-describing semi-structured records during the data ingestion. As many prominent document stores, such as MongoDB and Couchbase, adopt Log Structured Merge (LSM) trees in their storage engines, our framework exploits LSM lifecycle events to piggyback the schema inference and extraction operations. We have implemented and empirically evaluated our approach to measure its impact on storage, data ingestion, and query performance in the context of Apache AsterixDB.

Розглядаються механізми візуалізації для побудови термінологічних хмар. На прикладі JSON, HTML, CSV, XLSX, XML, TXT наведений перелік типів файлів та ресурсів. Проаналізовано можливості добування та збереження вхідних даних. Проведено дослідження аналогічних систем, на основі якого було обрано два оптимальні типи файлів, а саме CSV та TXT. Виявлено підхід формування списку ключових слів для наукових публікацій або виокремлення провідної тематики різних текстів. Встановлено, що у разі необхідністі обробки великих текстів спільної спрямованості, якими наприклад можуть бути літературні твори, наукові статті, судові вироки тощо, достатнім буде використання малих веб-додатків для побудови тегових хмар. Тегові хмари на основі алгоритму k-середніх здатні досить ефективно виявити ключові поняття, найбільш уживані слова та провідні концепції. При порівнянні між собою форматів CSV та TXT, було підтверджено, що швидкість обробки залежить скоріше від об’єму вхідної інформації, ніж від структури файлу. Звідси, можна стверджувати, що використання одного або іншого формату зумовлено вибором користувача. Проведено аналіз з якого відзначено, що формат CSV потребує верхнього рядка, в якому вказують атрибути. Для більшої коректності подальшого аналізу, атрибути слід вказати і формувати кожний наступний рядок даних строго по черзі. Така незначна особливість структури допомагає досліднику орієнтуватися серед набору текстової інформації, а при подальшій обробці перший рядок можна не враховувати. На відміну від попереднього формату, формат TXT не потребує формування першого рядка атрибутів. Це ускладнює візуальне сприйняття наявної інформації. Не рекомендовано вводити атрибути самостійно, в подальшому при обробці це буде впливати на коректність результатів кластеризації в негативний бік.

The global market for chatbots will grow in the coming years. One of the main advantages of chatbots in customer service is that the parties are free to ask questions that they would not have asked a customer service representative or company manager. In addition, the bot is able to instantly answer questions. Chatbots are typically integrated into dialog systems, such as virtual assistants. This gives them the opportunity to communicate naturally or engage in casual conversations not related to the areas of their core expert systems. In most cases, chatbots use messaging programs to communicate with clients. A person can ask a question and the chat bot will respond in accordance with the information available in the knowledge base. Depending on the situation, many chatbots may consider what the client is saying to personalize and build subsequent interactions with it. The article presents the results of integrating the chatbot @es_economy_karkas_bot with an expert system for organizing online consultation. A description of the architecture and implementation of the chat bot messenger TELEGRAM in an expert system based on the system “KARKAS” ‒ a tool for building models of knowledge bases. The structure of the interaction of chatbot and agents of the expert system in the online mode is considered. An example of an online consultation of an expert system in the medical subject area is given. As a result, a fully functioning chat bot @es_economy_karkas_bot created, which is integrated into the “KARKAS” system, which allows for online consultation with prototypes of expert systems in the economic and financial domain. After the application is deployed, it is planned to significantly expand the functionality of the bot. The “KARKAS” system is a toolkit for developing prototypes of knowledge bases for expert and expert-training systems both offline and online on smartphones. The knowledge representation is based on a hierarchical functional system that is generated by the “KARKAS” system based on production rules and frames. The inference engine uses a hierarchical functional system during user consultation. The user can select various output machine modes: use direct output, reverse output, Bayes formula, criteria tables. The following components were used to handle queries with Telegram servers: The superobject library was used to parse JSON objects. OpenSSL libraries: libeay32.dll and ssleay32.dll have been used to work with https. You have used Indy 10 library to send http requests and download ftp knowledge bases from https://it-karkas.com.ua. Use the TelegAPI library to work with Telegram servers. Consulting and dialogue agents communicate with each other to perform the following operations: Pressing: buttons, check boxes, radio button-pokes. Transmission and reception of messages between visual objects on the form. Thus, the above modules perform the functions of agents and in this sense, the implemented chat bot @es_economy_karkas_bot in the “KARKAS” system can be considered as a multi-agent system.Thus, the @es_economy_karkas_bot chat bot algorithm consists of the following steps: Step 1. Run the application on the computer es_economy_karkas_bot.exe (chat bot).Step 2. Select the commands: /help or /start, then, for example, /fa.Step 3. The bot launches the agent of the “KARKAS” system.Step 4. The “KARKAS” inference engine is activated.Step 5. Forms a hierarchical functional system for dialogue with the user “KARKAS”.Step 6. The agent of dialogue is activated and the message with the text of a question and answers a bot is sent. It accepts the message as a JSON object, parses it, displays the message in the chat and waits for the user's response.Step 7. The user in the chatbot selects or enters the answer and the bot sends it to the output machine to the expert system.Step 8. An expert advice expert system accepts the message and sends the inference engine. The dialogue agent performs the next step according to the constructed hierarchical functional system for the dynamic purpose of the consultation. The purpose of the consultation is formed during the dialogue with the user. In other words, it dynamically depends on the user's answers to the questions of the expert system. Step 9. The iterative consultation process continues until the inference engine receives the result. The user can stop the consultation at any time with the command / quit.

Розглянута проблема неправильного та застарілого трактування діяльності бібліотеки, а також її позиціонування у сучасному світі. Складена інформаційна модель майбутнього програмного забезпечення, тобто ціль та засоби, якими система може оперувати для досягання цієї цілі та, що саме вимагають ці засоби, щоб їх можна було використовувати. За результатами дослідження, для систематизації сучасного уявлення про бібліотеку, було вирішено впроваджувати стандарт Library 3.0, який, в свою чергу, відповідає за модернізацію форми надання послуг бібліотекою за використанням таких технологій, як семантична мережа, хмарові сервіси, мобільні пристрої, у діяльність науково-технічної бібліотеки. Library 3.0 – це стандарт, який відповідає за електронну систематизацію сервісів, що забезпечують життєву діяльність академічної бібліотеки на основі комунікації між підрозділами та користувачем. На даний момент, це є найбільш захоплюючим досягненням у області наукових досліджень та розвитку бібліотек закладів вищої освіти, оскільки представлений стандарт підкреслює контекст, а не тільки засіб надання інформаційних послуг. Було проведено ретельний аналіз на підставі діючих методологій та підходів для створення концептуальної моделі проекту, основних принципів та засад розробки програмного продукту, допоміжних параметрів та засобів для досягнення бажаного результату, аналітичних дані. Був розроблений веб-ресурс для представлення Науково-технічної бібліотеки ОНАХТ за принципами Library 3.0 з урахуванням новітніх можливостей Web 2.0.

Background DNA sequencing is at the core of many molecular biology laboratories. Despite its long history, there is a lack of user-friendly Sanger sequencing data analysis tools that can be run interactively as a web application or at large-scale in batch from the command-line. Results We present Tracy, an efficient and versatile command-line application that enables basecalling, alignment, assembly and deconvolution of sequencing chromatogram files. Its companion web applications make all functionality of Tracy easily accessible using standard web browser technologies and interactive graphical user interfaces. Tracy can be easily integrated in large-scale pipelines and high-throughput settings, and it uses state-of-the-art file formats such as JSON and BCF for reporting chromatogram sequencing results and variant calls. The software is open-source and freely available at https://github.com/gear-genomics/tracy, the companion web applications are hosted at https://www.gear-genomics.com. Conclusions Tracy can be routinely applied in large-scale validation efforts conducted in clinical genomics studies as well as for high-throughput genome editing techniques that require a fast and rapid method to confirm discovered variants or engineered mutations. Molecular biologists benefit from the companion web applications that enable installation-free Sanger chromatogram analyses using intuitive, graphical user interfaces.

Background Biomedical translational science is increasingly using computational reasoning on repositories of structured knowledge (such as UMLS, SemMedDB, ChEMBL, Reactome, DrugBank, and SMPDB in order to facilitate discovery of new therapeutic targets and modalities. The NCATS Biomedical Data Translator project is working to federate autonomous reasoning agents and knowledge providers within a distributed system for answering translational questions. Within that project and the broader field, there is a need for a framework that can efficiently and reproducibly build an integrated, standards-compliant, and comprehensive biomedical knowledge graph that can be downloaded in standard serialized form or queried via a public application programming interface (API). Results To create a knowledge provider system within the Translator project, we have developed RTX-KG2, an open-source software system for building—and hosting a web API for querying—a biomedical knowledge graph that uses an Extract-Transform-Load approach to integrate 70 knowledge sources (including the aforementioned core six sources) into a knowledge graph with provenance information including (where available) citations. The semantic layer and schema for RTX-KG2 follow the standard Biolink model to maximize interoperability. RTX-KG2 is currently being used by multiple Translator reasoning agents, both in its downloadable form and via its SmartAPI-registered interface. Serializations of RTX-KG2 are available for download in both the pre-canonicalized form and in canonicalized form (in which synonyms are merged). The current canonicalized version (KG2.7.3) of RTX-KG2 contains 6.4M nodes and 39.3M edges with a hierarchy of 77 relationship types from Biolink. Conclusion RTX-KG2 is the first knowledge graph that integrates UMLS, SemMedDB, ChEMBL, DrugBank, Reactome, SMPDB, and 64 additional knowledge sources within a knowledge graph that conforms to the Biolink standard for its semantic layer and schema. RTX-KG2 is publicly available for querying via its API at arax.rtx.ai/api/rtxkg2/v1.2/openapi.json. The code to build RTX-KG2 is publicly available at github:RTXteam/RTX-KG2.

The Internet of Things (IoT) technology is growing rapidly, while the IoT devices are being deployed massively. However, interoperability with information systems remains a major challenge for this accelerated device deployment. Furthermore, most of the time, IoT information is presented as Time Series (TS), and while the majority of the studies in the literature focus on the prediction, compression, or processing of TS, no standardized representation format has emerged. Moreover, apart from interoperability, IoT networks contain multiple constrained devices which are designed with limitations, e.g., processing power, memory, or battery life. Therefore, in order to reduce the interoperability challenges and increase the lifetime of IoT devices, this article introduces a new format for TS based on CBOR. The format exploits the compactness of CBOR by leveraging delta values to represent measurements, employing tags to represent variables, and utilizing templates to convert the TS data representation into the appropriate format for the cloud-based application. Moreover, we introduce a new refined and structured metadata to represent additional information for the measurements, then we provide a Concise Data Definition Language (CDDL) code to validate the CBOR structures against our proposal, and finally, we present a detailed performance evaluation to validate the adaptability and the extensibility of our approach. Our performance evaluation results show that the actual data sent by IoT devices can be reduced by between 88% and 94% compared to JavaScript Object Notation (JSON), between 82% and 91% compared to Concise Binary Object Representation (CBOR) and ASN.1, and between 60% and 88% compared to Protocol buffers. At the same time, it can reduce Time-on-Air by between 84% and 94% when a Low Power Wide Area Networks (LPWAN) technology such as LoRaWAN is employed, leading to a 12-fold increase in battery life compared to CBOR format or between a 9-fold and 16-fold increase when compared to Protocol buffers and ASN.1, respectively. In addition, the proposed metadata represent an additional 0.5% of the overall data transmitted in cases where networks such as LPWAN or Wi-Fi are employed. Finally, the proposed template and data format provide a compact representation of TS that can significantly reduce the amount of data transmitted containing the same information, extend the battery life of IoT devices, and improve their lifetime. Moreover, the results show that the proposed approach is effective for different data types and it can be integrated seamlessly into existing IoT systems.

The authors of this paper, in cooperation with others, are working to create an online, open access database that presents and analyzes the metrical patterns of all Greek and Roman drama. We have begun with Euripides, creating XML versions of each play’s Greek text and translation, using for lyric sections the scansions of Frederico Lourenço’s The Lyric Metres of Euripidean Drama. The text is marked with various XML features indicating speaker changes, meters, metra/cola, periods, and basic divisions of the play. Each syllable of the play is identified and tagged as long or short via a combination of automatic and manual scansion. With the help of JavaScript and standard web design tools such as HTML and CSS, the XML versions of the plays are then used to create a website that shows scansion throughout the plays, displays metrical patterns in ways easy to comprehend, and allows one to see numerous statistical features of the tragedians’ use of meter. Alongside the XML documents, we make use of JSON files to generate a navigational grid, keep track of meters used in the play, connect the Greek text and the translation, and associate the names of characters with information such as their gender and status. It is hoped that when completed the database will be useful not only to scholars interested in Greek drama’s meter and music, but also to students and theater practitioners., FuturoClassico FCl, N. 7 (2021)

V diplomski nalogi smo s pomočjo tehnologije Web Components razvili nove komponente spletne aplikacije za volumetrično upodabljanje (VPT). Komponente podpirajo enostavno konfiguracijo lastnosti aplikacije. Poleg tega smo v okviru naloge razvili tudi sistem za serializacijo in deserializacijo podatkov spletne aplikacije. Sistem je robusten -- odporen na spremembe formata serializiranih podatkov in na spremembe aplikacije -- in omogoča samodejno preverjanje veljavnosti vhodnih podatkov pri branju glede na podano konfiguracijo. S temi spremembami je bistveno poenostavljeno programiranje in izdelovanje vizualnih komponent aplikacije, kar olajša in pohitri dodajanje novih funkcionalnosti. In this thesis, we have developed new components for the volumetric path tracing (VPT) web application using Web Components technology. The components support simple configuration of application properties. Additionally, we have developed a system for serialization and deserialization of web application data. The system is robust -- resistant to changes in the format of the serialized data and to changes of the application itself -- and supports automatic input data validation according to the provided configuration. With these changes, we have noticeably simplified the programming and creation of new visual elements for the application, which makes addition of new functionality easier and faster.

With the development of personal broadcasting such as YouTube, the demand for editing the video he filmed himself is steadily increasing. Traditional media video editing solutions help edit the results of the filming. However, there is a problem that requires a lot of editing time, as people usually edit videos that are from tens to hundreds of times longer than the final result of a personal broadcasting after filming. To overcome this problem, this paper automatically classifies images with specific scenes in the whole media image editing process, and secondly proposes automatic media editing solution technology in which people intervene. In particular, personal broadcasting focuses on the use of images that include characters, specific objects, and cue sign gestures among the entire. While the existing deep learning techniques such as faces, objects and gestures are advanced, integrated recognition technologies that simultaneously deal with special requirements for editing videos are still in the early stages of research. In this paper, the automatic composite recognition technology for editing video based on deep learning is proposed. The proposed technology was implemented with python and tensorflow software based on edge computing equipment. Using actual youtube videos, it took 0.1 second to process five-person recognition, 63-food recognition, or cue sign recognition using clapping or V poses at the same time. The recognized results are divided into timestamps of the entire movie, recognition results, and locations of objects on the screen, and are output to the json file. In addition, this solution was developed on an edge computing in order to increase real-time reliability. We expect to provide automatic video editing based on perceived json results as well as shorter editing times based on this implementation.

Cilj ovoga rada je razvoj podsustav uvježbavanja i provjere znanja za sustav mobilnog učenja osnova kemije s naglaskom na prikaz kemijskih spojeva formulama i karakterističnim strukturama. Mobilna aplikacija namijenjena je za studente koji žele testirati svoje znanje u području osnovne kemije rješavajući razne zadatke vezane za to područje. Podsustav je razvijen za mobilnu napravu sa zaslonom osjetljivim na dodir, pod mobilnim operacijskim sustavom Android. Prilikom razvoja primijeniti će standardna metodologija korisnika usmjerenog oblikovanja koja obuhvaća korake modeliranja, implementacije i vrednovanja. Prije samog razvoja mobilne aplikacije napraviti će se prototip iste. Vrednovanje podsustava će se provesti kroz dvije iteracije mobilne aplikacije. The topic of this thesis is development of a drill and test module for a basic chemistry m-Learning System with emphasis on the representation of chemical compounds by formulas and characteristic structures. The mobile application is intended for students who want to test their knowledge in the field of basic chemistry by solving various tasks related to this field. The test module was developed for a touchscreen mobile device, running the Android mobile operating system. In development, a standard design-oriented methodology will be applied that includes modelling, implementation and evaluation steps. Before the development of the mobile application, a prototype of the same will be made. Evaluation will be carried out through two iterations of the mobile application.

Data-driven systems have become the mainstay of the IT world. Some examples of such systems include information-driven websites, APIs, data query languages, and Infrastructure as Code (IaC). Increasingly, the data is represented in language-independent formats such as JSON and YAML. mEditor, aka Model Editor, is a fully-featured containerized software application for management of JSON documents providing role-based access, version control, a REST API, customizable user interfaces, customizable workflows for document life-cycle, export/import of documents, collaborative features such as e-mail notifications, commenting capabilities and access to a document’s history. It can integrate easily with distributed applications through its Pub/sub-based notification mechanism. mEditor has been deployed in AWS and also as a set of Docker services in non-AWS environments.

To analyse large corpora using machine learning and other Natural Language Processing (NLP) algorithms, the corpora need to be standardised. The BioC format is a community-driven simple data structure for sharing text and annotations, however there is limited access to biomedical literature in BioC format and a lack of bioinformatics tools to convert online publication HTML formats to BioC. We present Auto-CORPus (Automated pipeline for Consistent Outputs from Research Publications), a novel NLP tool for the standardisation and conversion of publication HTML and table image files to three convenient machine-interpretable outputs to support biomedical text analytics. Firstly, Auto-CORPus can be configured to convert HTML from various publication sources to BioC. To standardise the description of heterogenous publication sections, the Information Artifact Ontology is used to annotate each section within the BioC output. Secondly, Auto-CORPus transforms publication tables to a JSON format to store, exchange and annotate table data between text analytics systems. The BioC specification does not include a data structure for representing publication table data, so we present a JSON format for sharing table content and metadata. Inline tables within full-text HTML files and linked tables within separate HTML files are processed and converted to machine-interpretable table JSON format. Finally, Auto-CORPus extracts abbreviations declared within publication text and provides an abbreviations JSON output that relates an abbreviation with the full definition. This abbreviation collection supports text mining tasks such as named entity recognition by including abbreviations unique to individual publications that are not contained within standard bio-ontologies and dictionaries.AvailabilityThe Auto-CORPus package is freely available with detailed instructions from Github at https://github.com/omicsNLP/Auto-CORPus/.

Multi-model DBMSs (MMDBMSs) have been recently introduced to store and seamlessly query heterogeneous data (structured, semi-structured, graph-based, etc.) in their native form, aimed at effectively preserving their variety. Unfortunately, when it comes to analyzing these data, traditional data warehouses (DWs) and OLAP systems fall short because they rely on relational DBMSs for storage and querying, thus constraining data variety into the rigidity of a structured, fixed schema. In this paper, we investigate the performances of an MMDBMS when used to store multidimensional data for OLAP analyses. A multi-model DW would store each of its elements according to its native model; among the benefits we envision for this solution, that of bridging the architectural gap between data lakes and DWs, that of reducing the cost for ETL, and that of ensuring better flexibility, extensibility, and evolvability thanks to the combined use of structured and schemaless data. To support our investigation we define a multidimensional schema for the UniBench benchmark dataset and an ad-hoc OLAP workload for it. Then we propose and compare three logical solutions implemented on the PostgreSQL multi-model DBMS: one that extends a star schema with JSON, XML, graph-based, and key–value data; one based on a classical (fully relational) star schema; and one where all data are kept in their native form (no relational data are introduced). As expected, the full-relational implementation generally performs better than the multi-model one, but this is balanced by the benefits of MMDBMSs in dealing with variety. Finally, we give our perspective view of the research on this topic.

Aquest projecte de final de fi de Màster consisteix en l'optimització de serveis Front-End. Estarien compostos pel concepte recent de Micro Front-End's, a partir d'ara MFE. Aquests són fragments del Front-End que treballen independentment per respondre a una pàgina web. Per fer-ho, s'utilitzaran diferents eines que permetin la creació d'aquests d'una manera fàcil, ràpida i dinàmica. A més a més, s'implementarà una arquitectura Client-Servidor on posarem en pràctica tots els conceptes apresos en la fase d'investigació, poden així crear un sistema basat en MFE. Finalment, podrem observar les funcionalitats que podem donar a cadascun d'aquests serveis tant de manera aïllada com de manera conjunta.

The availability of large data sets represented as JSON documents is demanding for powerful tools able to integrate and query them. The J-CO Framework is a research prototype under development at University of Bergamo (Italy), specifically devised to provide practical tools to manage possibly large JSON data sets. Its query language, named J-CO-QL, provides constructs to evaluate the belonging of documents to fuzzy sets, so as to perform soft queries on JSON documents. In this paper, we present a real case study that shows how a novel construct, which enables defining JavaScript functions within J-CO-QL queries, provides users with an even improved possibility to personalize soft operators used to evaluate membership degrees.

Die Versionskontrollsoftware git und die Serversoftware GitLab wurden für die Softwareentwicklung konzipiert, ermöglichen aber auch kooperatives Arbeiten an Forschungsdaten entlang der FAIR-Prinzipien, beides elementare Herausforderungen im Forschungsdatenmanagement (FDM). Koordiniert durch die Landesinitiative fdm.nrw wurden in den vergangenen Jahren daher Abläufe und Schulungen zum FDM mit git und GitLab erprobt und durchgeführt. Eine Hürde bei der Verwendung von git und GitLab im FDM kann die Anwendung der zugrundeliegenden Software mittels Kommandozeilenbefehlen darstellen. Zwar wird das Verständnis der Versionierungsvorgänge erhöht, einige Forschende bevorzugen aber die intuitiven graphischen Interfaces. In jedem Fall ist für die Adaption Einarbeitungszeit einzuplanen. Für datengetriebene Forschung werden Versionsverwaltung und andere Digitalkompetenzen mittelfristig einen ebenso hohen Stellenwert wie das „wissenschaftliche Schreiben“ im Bereich der Sprachkompetenzen einnehmen müssen. Es gilt daher zunächst ein grundlegendes Verständnis für git und die Möglichkeiten zur Nutzung im FDM darzustellen. Ergänzend zu etablierten Schulungen wurden kurze, konkrete Beispiele in einer Best Practice Sammlung zusammengetragen: öffentliche GitLab-Projekte realisieren und dokumentieren einzelne Anwendungsfälle mit Hilfe der gebotenen Werkzeuge. Dadurch soll die Anwendungs- und Digitalkompetenz der Forschenden, aber auch der Infrastrukturmitarbeitenden und der Schulenden gesteigert werden und so git und GitLab zu einer besseren Umsetzung des FDM beitragen.

In the previous two chapters you saw how to access the file system to read and save information in a durable way. You’ve been given all the tools for dealing with either a custom file format or a treelike information representation such as JSON.

Eina per a recomanar a quines assignatures s'ha de matricular un alumne basant-se en la seva disponibilitat. Desenvolupat com a PWA (Progressive Web App) amb una estructura de dades que permeti utilitzar-ho en diferents estudis, tot i que es tractarà sobre el Grau d'Enginyeria Informàtica. Permetrà desar les convalidacions i les assignatures matriculades i els resultats de cada semestre i l'itinerari escollit i generarà un calendari de matriculació proposat segons les hores disponibles per als següents semestres. Tool to recommend subjects enrollment based on Student availability. Developed as a PWA (Progressive Web App) with a data structure to be used in diferent studies, although it will be used in the Degree in Computer Engineering. It will Store validations and results of enrolled subjects for each semestre, and the chosen itinerary, and it will generate proposed enrollment calendars according to the students' availability. Herramienta para recomendar a qué asignaturas debe matricularse un alumno basándose en su disponibilidad. Desarrollado a modo de PWA (Progressive Web App) con una estructura de datos que permita usarlo en diferentes estudios, aunque el trabajo se centra en el Grado de Ingeniería Informática. Permite guardar las convalidaciones y asignaturas matriculadas y sus resultados para cada semestre, así como la preferencia de itinerarios, y genera un calendario de matriculación propuesto según las horas disponibles para los próximos semestres.

[ES] El proyecto contempla la implantación en un entorno real de un sistema CRM. Dicho sistema se adaptará y personalizará al entorno de la empresa. El estudiante definirá todas las fases de la implantación, así como las modificaciones y adaptaciones necesarias para la puesta en marcha del sistema, [EN] The project contemplates the implementation in a real environment of a CRM system. This system will be adapted and personalized to the company's environment. The student will define all the phases of the implementation, as well as the modifications and adaptations necessary for the implementation of the system

When focusing on modern conditions in the field of processing heterogeneous data based on a situation-oriented approach, the task of using information systems with implemented cryptographic technologies during operation arises. One of the examples of such implementation are services and microservices available via the Internet. They provide opportunities to employ their capabilities to verify the authenticity of document enhanced digital signature by means of the published API. Situation-oriented databases (SODB) do not have their own certification authority and encryption-related functionality, but there are opportunities to work with RESTful services by establishing a network connection, thus, there is a research interest in model-oriented processing of heterogeneous documents in cryptographic services and obtaining results from it. To use cryptographic web services in model states, it will be necessary to develop and modify the hierarchical situational model of the SODB in order to enhance it with the ability to work with such services, where authentication of authorization tokens and operating several entry points at the same time are required. The model should also be structured by using specialized elements and methods. The involvement of such services can solve the problem of checking heterogeneous documents: whether they were signed with an enhanced qualified electronic digital signature, the result will be a verification report, the so-called protocol, which is then saved in the database. Such a research objective has not previously been considered from a scientific and technical point of view as part of the SODB project. At the moment, there are opportunities to create tools and methods of the model to solve this problem; the current course design information system based on SODB also exists. By developing the proposed SODB tools, it becomes possible to create applications with the capability to verify heterogeneous documents in cryptographic web services and at the same time avoid laboriousness when creating such applications., Ориентируясь на современные условия в области обработки гетерогенных данных на базе ситуационно-ориентированного подхода, возникает задача использования в процессе эксплуатации информационных систем с реализованными криптографическими технологиями. Одним из примеров таких реализаций являются сервисы и микросервисы, доступные через сеть Интернет, они предоставляют возможности за счет опубликованного API пользоваться своими возможностями в целях проверки подлинности усиленной цифровой подписи документа. В ситуационно-ориентированных базах данных (СОБД) нет своего собственного удостоверяющего центра и функциональности, связанной с шифрованием, но есть возможности для работы с RESTful-сервисами за счет установления сетевого подключения. Таким образом, представляется исследовательский интерес к модельно-ориентированной обработке гетерогенных документов в криптографических сервисах и получение из них результатов. Для задействования криптографических веб-сервисов в состояниях модели потребуется проработка и модификация иерархической ситуационной модели СОБД с целью ее обеспечения возможностями работы с такими сервисами, где потребуется проверка подлинности токенов авторизации и работа с несколькими точками входа одновременно. Модель должна быть структурированной также за счет использования специализированных элементов и методов. Задействование таких сервисов может решить задачу проверки гетерогенных документов: вне зависимости от того, были ли они подписаны усиленной квалифицированной электронной цифровой подписью, результатом будет получение отчета о проверке так называемого протокола и сохранение его в базе данных. Такая исследовательская задача ранее не рассматривалась с научно-технических позиций в рамках проекта СОБД, на данный момент существуют возможности для создания средств и методов модели для решения этой задачи и действующая информационная система курсового проектирования, базирующаяся на СОБД. Развивая предложенные средства СОБД, появляется возможность создавать приложения с функциями верификации гетерогенных документов в криптографических веб-сервисах и при этом уменьшать трудоемкость при разработке таких приложений., МОДЕЛИРОВАНИЕ, ОПТИМИЗАЦИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ, Выпуск 4 (39) 2022, Pages 19-20

Kvalifikācijas darbā aprakstīta sporta prognožu tīmekļa vietnes izstrāde, izmantojot Laravel ietvaru. Kvalifikācijas darba mērķis bija izstrādāt mājaslapu, kurā iespējams veikt prognozes uz sporta notikumiem un sacensties ar citiem cilvēkiem, ļaujot izveidot prognožu līgas ar specifiskiem un pielāgotiem noteikumiem, šajā procesā apgūstot tīmekļa vietņu izstrādes tehnoloģijas un gūt praktisku pieredzi datu rasmošanā no citām interneta vietnēm., This qualification paper describes the development of a sports prediction website using the Laravel framework. The aim of this paper was to develop a website with which it would be possible to make predictions on sporting events and compete with other people, allowing the creation of prediction leagues with specific and customized rules, while learning about website development and gaining practical experience in scraping data from other websites in the process.

Funding Information: Supported by Aalto University. Publisher Copyright: © 2022, Springer Nature Switzerland AG. Historically web sites have been developed using HTML for their markup either by authoring it directly or through abstraction to generate it. The currently available tools exist in a continuum of static, developer-oriented tools and dynamic services that cater to non-technical users. In this paper, we propose an approach that sits in the middle by using JSON for site definitions. The definition is leveraged on the client-side for editing, bridging the continuum’s ends.

Рассматривается разработка библиотеки на языке программирования JavaScript, которая позволяет выполнять построение дендрограммы, представляющей собой графическое изображение иерархической структуры результатов кластеризации.

The research paper on "Innovative Web Services Technologies and Security Protocols" will explore: (a) the purpose of the SOAP protocol, (b) the shortcomings of the SOAP protocol, (c) the existence of possible security vulnerabilities within the SOAP protocol and (d) protection options. In addition to the research part, the paper will also apply the scientific method of content analysis based on which certain definitions of WEB services will be given, such as: XML, XACML, JSON, AJAX and REST. Also, theoretically will be explained in detail: web services, web services model with security standards and protocols such as: AJAX protocol, SOAP protocol, IPSec protocol and REST state transfer. In addition to these protocols and XML as an extensible language for tagging data and documents, an indispensable part of web services are formats such as: HTML 5.3 and JSON open standard for formatting data when transferring between applications that will also be covered by research. In addition to the above, various protocols used by IPSec will be presented in the paper, such as: AH protocol, ESP protocol and IKEv2 protocol. The paper will also present the results of a survey on the topic: "Web application programming"

Este proyecto ha sido creado a partir de la necesidad de crear una aplicación web y móvil con la idea de mejorar y optimizar la recolección y administración de datos de campo en estudios sobre la vegetación. Para ello, se ha creado una base de datos para almacenar los resultados que surgen de dichos estudios de campo y, a esos resultados, se han vinculado los datos personales de los usuarios que los realizan. Para facilitar la subida de datos, se ha creado la aplicación móvil, que utiliza también la ubicación del dispositivo y la añade a los datos de la especie vegetal elegida por el usuario. Por otra parte, se ha creado la aplicación web para ayudar al usuario, independientemente de si está o no registrado, a obtener datos estadísticos de manera visual sobre los datos que se han almacenado, ya sea a modo de mapa o de informe. Además, la aplicación web tiene otra finalidad y es la gestión de todos los datos subidos a la base de datos, incluyendo los personales de los usuarios registrados.

Semantic Web technologies are widely used for storing RDF data and making them available on the Web through SPARQL endpoints, queryable using the SPARQL query language. While the use of SPARQL endpoints is strongly supported by Semantic Web experts, it hinders broader use of RDF data by common Web users, engineers and developers unfamiliar with Semantic Web technologies, who normally rely on Web RESTful APIs for querying Web-available data and creating applications over them. To solve this problem, we have developed RAMOSE, a generic tool developed in Python to create REST APIs over SPARQL endpoints. Through the creation of source-specific textual configuration files, RAMOSE enables the querying of SPARQL endpoints via simple Web RESTful API calls that return either JSON or CSV-formatted data, thus hiding all the intrinsic complexities of SPARQL and RDF from common Web users. We provide evidence that the use of RAMOSE to provide REST API access to RDF data within OpenCitations triplestores is beneficial in terms of the number of queries made by external users of such RDF data using the RAMOSE API, compared with the direct access via the SPARQL endpoint. Our findings show the importance for suppliers of RDF data of having an alternative API access service, which enables its use by those with no (or little) experience in Semantic Web technologies and the SPARQL query language. RAMOSE can be used both to query any SPARQL endpoint and to query any other Web API, and thus it represents an easy generic technical solution for service providers who wish to create an API service to access Linked Data stored as RDF in a triplestore.

Este proyecto se basa en desarrollar una evaluación automatizada de la asignatura de Análisis y diseño de sistemas de información (ADSI) e integrarla con Codex. Codex es una herramienta online de aprendizaje implementada en Tecnun, utilizada por estudiantes y profesores para el desarrollo de actividades y pruebas evaluadas. La evaluación consta en recopilar la información dentro de una base de datos (tablas, consultas, informes, formularios y relaciones) usando el lenguaje de programación VBA desde la herramienta Access y enviarlo al servidor de Codex mediante un string JSON donde se puntúa la respuesta y se devuelve la calificación al estudiante directamente. El sistema consta de una interfaz gráfica en la cual el estudiante puede conectarse a Codex a través de sus credenciales y contestar los enunciados planteados por el profesor desde Codex. Las reglas de evaluación para cada ejercicio son planteadas desde Codex de tal forma que el JSON que se envía desde Access a Codex puede ser evaluado correctamente.