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After a voice control system transforms audio input into a natural language sentence, its main purpose is to map this sentence to a specific action in the API (application programming interface) that should be performed. This mapping is usually specified after the API is already designed. In this paper, we show how an API can be designed with voice control in mind, which makes this mapping natural. The classes, methods, and parameters in the source code are named and typed according to the terms expected in the natural language commands. When this is insufficient, annotations (attribute-oriented programming) are used to define synonyms, string-to-object maps, or other properties. We also describe the mapping process and present a preliminary implementation called VCMapper. In its evaluation on a third-party dataset, it was successfully used to map all the sentences, while a large portion of the mapping was performed using only naming and typing conventions.

Injection molding is a complicated process, and the final part quality depends on many machine and process parameters settings. To increase controllability of the injection molding process, acquisition of the process data is necessary. This paper describes the architecture and development of a prototype of an open application programming interface (API) for injection molding machines (IMMs), which has the potential to be used with different IMMs to log and set the necessary process parameter values. At the moment, the API includes an implementation of EMI data exchange protocol and can be used with ENGEL IMMs with CC300 and RC300 controllers. Data collection of up to 97 machine and process parameters (the number might vary depending on the type of machine at hand), obtained from sensors installed in the machine by the manufacturer is allowed. The API also includes a module for the acquisition of data from additional 3d party sensors. Industrial Raspberry Pi (RevPi) was used to perform analog-to-digital signal conversion and make sensors data accessible via the API prototype. The logging of parameters from the machine and from sensors is synchronized and the sampling frequency can be adjusted if necessary. The system can provide soft real-time communication. DOI 10.7717/peerj-cs.302 Copyright 2020 Ogorodnyk et al. Distributed under Creative Commons CC-BY 4.0

In this paper, an effective question detection algorithm for Vietnamese text analysis is proposed. The proposed algorithm takes an audio file as input, converts its speech to text, and returns question detection result. This is extremely useful for a text analyzer to determine if a given sentence generated from an audio file is a question or not, particularly in chatbot or voicebot systems where very often there are needs for automatic replies to questions queried by users. The algorithm uses two tiers of question words and a customized question phrases to achieve 88.64 % accuracy on a sub-dataset of 176 questions prepared based on FPT Open Speech Dataset. © 2020 ACM. The authors would thank FPT University and Ural Federal University for supporting this research. In addition, the authors would thank the students: Nguyen Khuong Quan, Tran Viet Thai, Le Sy Thanh Long in SE1402 class, FPT University for their partial support this research.

In recent years, the generative process of building information modeling (BIM) digital models oriented to the digitisation of heritage buildings has been supported by the development of new modeling tools, able to integrate the point cloud data produced by laser scanning and digital photogrammetry in major modeling software applications such as Autodesk Revit and Graphisoft Archicad. Architectural and structural elements of churches, castles, and historical monuments such as complex vaults, arches, decorations and ornaments, irregular walls with a variable section and wall stratigraphy require higher levels of detail (LOD) and information (LOI) than new buildings. Consequently, the structure of a BIM model oriented to represent heritage buildings (HBIM) required the definition of a new digital process capable of converting the traditional techniques to the generation of 'unique' digital models able to connect different type of information. Consequently, the generation of 'new' 3D objects able to follow the constructive logic of the detected artefact has required the establishment of new grades of generation (GOG) and accuracy (GOA) to reduce the time and cost of the scan-to-BIM process. The main challenge of this research was the integration of these new modeling requirements in BIM software through the development of an add-in for one of the most used BIM software (Autodesk Revit). Through the generation of the complex vaulted system of the Basilica of Collemaggio (L’Aquila, Italy) and one of the most famous monuments of northern Italy (Arch of Peace in Milan, Italy), the following research shows how it was possible to support users in the HBIM generation, reducing the modeling impact of complex shapes from point cloud data and increasing information sharing for different BIM-based analysis, disciplines and users.

Software-defined network (SDN) is an approach to computer networking that allows network administrators to manage network services through abstraction of higher-level functionality. This research includes comparison of multiple scenarios of the software-defined network, which are based on different types of coverage and local area networks (LAN), i.e. a traditional LAN. Differences are evident in the scenario of network performance and can be perceived as advantages and disadvantages of SDN in relation to the traditional network. The parameters used in the analysis are data rate, packet delay (i.e. latency), packet loss, throughput, the cost of network performance and others. The application and the simulation demonstration of a software-defined network is shown in the graphical network simulator GNS and emulator Mininet. This research has analysed the advantages and disadvantages of a software-defined network over a conventional network, taking into account various parameters and stakeholders.

We present the development of a web server, a protein short motif search tool that allows users to simultaneously search for a protein sequence motif and its secondary structure assignments. The web server is able to query very short motifs searches against PDB structural data from the RCSB Protein Databank, with the users defining the type of secondary structures of the amino acids in the sequence motif. The output utilises 3D visualisation ability that highlights the position of the motif in the structure and on the corresponding sequence. Researchers can easily observe the locations and conformation of multiple motifs among the results. Protein short motif search also has an application programming interface (API) for interfacing with other bioinformatics tools. Availability The database is available for free at http://birg3.fbb.utm.my/proteinsms

Heterogeneous environment of the Next Generation Network, involving diverse user devices and access options, as well as versatile network infrastructure, calls for closer cooperation between network entities and multimedia applications in achieving end-to-end Quality of Service (QoS). This typically involves a signaling mechanism, as a means for an application to request a certain QoS from the network, and in return to receive notifications related to various network conditions of interest, hence possibly adapting to them. This so-called “ network-aware” approach served as the basis for designing the Dynamic Service Adaptation (DSA) Model for signaling, negotiation, and adaptation of QoS parameters for multimedia services. Based on DSA Model, the DSA API was developed. It encompasses generic functionality related to session-level QoS signaling. The paper presents designed signaling scenarios and an experimental evaluation of DSA API in a laboratory environment, using a prototype network-aware multimedia application that features a virtual 3D Web-based environment.

Voice, video and multimedia applications are sensitive to the QoS provided by the underlying IP network. The DiffServ architecture offers a set of QoS mechanisms for IP networks. The "binding" of the application, QoS needs with the QoS features offered by the DiffServ networks is still an open problem. The simplest approach is to have a static configuration of QoS and therefore no direct interaction in the control plane between applications and QoS. We consider the advanced scenario, where the QoS mechanisms can be dynamically configured to follow the applications' need. For this scenario, a set of control plane interfaces needed for a whole end-to-end QoS architecture is defined. At the lower level, an internal interface ("Application Programming Interface"--API) in the QoS router is considered. This interface provides access to the DiffServ QoS mechanism available in a router and is used by the control logic running in the router itself. Then a QoS signaling protocol is considered, that allows external QoS clients to dynamically access the QoS services provided by the network. Finally the interaction of a session level signaling protocol (i.e., the SIP for IP telephony) with the QoS protocol is defined. A testbed implementation of the proposed architecture and a set of performance tests on the internal QoS API are reported.