Prototype Service Research Articles

Решение задачи классификации сообщений в системах голосового взаимодействия

A method for solving the problem of classifying short-text messages in the form of sentences of customers uttered in talking via the telephone line of organizations is considered. To solve this problem, a classifier was developed, which is based on using a combination of two methods: a description of the subject area in the form of a hierarchy of entities and plausible reasoning based on the case-based reasoning approach, which is actively used in artificial intelligence systems. In solving various problems of artificial intelligence-based analysis of data, these methods have shown a high degree of efficiency, scalability, and independence from data structure. As part of using the case-based reasoning approach in the classifier, it is proposed to modify the TF-IDF (Term Frequency - Inverse Document Frequency) measure of assessing the text content taking into account known information about the distribution of documents by topics. The proposed modification makes it possible to improve the classification quality in comparison with classical measures, since it takes into account the information about the distribution of words not only in a separate document or topic, but in the entire database of cases. Experimental results are presented that confirm the effectiveness of the proposed metric and the developed classifier as applied to classification of customer sentences and providing them with the necessary information depending on the classification result. The developed text classification service prototype is used as part of the voice interaction module with the user in the objective of robotizing the telephone call routing system and making a shift from interaction between the user and system by means of buttons to their interaction through voice.

Prototype of REST Location-based Service for Trip Planning by Paratransit (Mikrolet) in Malang City

Paratransit (mikrolet) was very popular in Malang city. However, their popularity is reduced by the availability of wide variety of more modern and online public transportations. One of the obstacles commonly faced by passengers of mikrolet is the limited information about the routes taken by mikrolet. In this paper, we proposed a prototype of service that can generate trip planning by mikrolet. We use depth-first search (DFS) algorithm as the basis to build our solution because it is relatively simple to modify. The service for trip planning available through REST web service and utilize location-based service style. Based on functionality testing result, the proposed system successfully generate all trip plans as expected. From performance perspective, when the number of routes and plans increased, the overall system performance degrades, so in the future the proposed prototype and its algorithm may needs further optimization.

Utilizing web based GIS services for retrieving and disseminating geographic information for disaster management

The development of Information and Communication Technology (ICT) related to web-based services such as portals, web services and databases (DB) services for searching, retrieving, disseminating and sharing information has also happened in the field of Geographic Information Systems (GIS) through web-based GIS Services. In GIS, the portal is replaced by Geoportal, Web Service by Web Mapping Service (WMS) and Web Feature Service (WFS) while DB Services is replaced by Geographic Database (GeoDB) services. Web based GIS services can be classified as Geoportal, WMS, WFS and GeoDB Services. This research developed a prototype of web-based GIS services for the management of Geographic Information related to disaster management. There are several techniques for developing GIS based web services such as using Content Management Systems for GIS, namely OpenGeo Suite, GeoNode, and ArcGIS based GIS Services. This research focuses on Web-based GIS Services with the ArcGIS platform. The prototype of Web-based GIS Services was built focusing on Geographic information in disaster management cycles such as recovery (rehabilitation and reconstruction), prevention (mitigation), preparedness and emergency response periods.

Comparing Conventional versus Immersive Service Prototypes: An Empirical Study

For years, Immersive Technologies and 3D printing, demonstrated their capacity to quickly build product prototypes in order to reach a common understanding among all stakeholders, especially potential users. Service prototyping is a novel agile process intended to accelerate the service development, while improving the overall anticipated service experience. The use of Immersive Technologies in service prototyping is intended to enable a co-creative and explorative service experience, even before the service really exists. Service prototyping transforms intangible processes into a real experience. Immersive Technologies are already deployed in several industrial applications ranging from product design to product and service exploration. They are also used for conducting training even before the product or service exists. The main concern remains in the fact that there is a lack of study for comparing and selecting the most appropriate form of Service Prototypes (SP) to explore a new service. This paper presents our empirical study comparing different SP forms and the results of two experiment sessions that were conducted at ENSAM Laval and Angers campuses. These results reveal that participants preferred immersive forms rather than conventional forms. However, it also unveils some difficulties in properly handling Immersive Technologies.

The Morphology of Dignity: Service Storytelling and Prototypes for a Service Design Tool

This paper presents a project that explores dignity as a principle of service design and storytelling as a framework. The research team conducted qualitative research in the areas of blood donation, breast-milk donation, and food donation to study the factors and patterns of dignity in service experiences. We applied Vladimir Propp's storytelling morphology to organize the research outcomes into seven actants and 16 narrathemes. Based on our research findings, we created three prototypes for a service design tool: (1) an online archive that organizes the key actants and functions in stories that capture the common patterns of service experience; (2) a virtual reality simulator for modelling and testing these stories; and (3) a participatory workshop for collaborative analysis and the codesign of a service based on the narrathemes. Our research suggests that dignity as a design principle can enhance the ethical and emotional impact of the service experience.

Autonomous Taxi Service Design and User Experience

ABSTRACTAs autonomous-vehicle technologies advance, conventional taxi and car-sharing services are being combined into a shared autonomous vehicle service, and through this, it is expected that the transition to a new paradigm of shared mobility will begin. However, before the full development of technology, it is necessary to accurately identify the needs of the service’s users and prepare customer-oriented design guidelines accordingly. This study is concerned with the following problems: (1) How should an autonomous taxi service be designed and field-tested if the self-driving technology is imperfect? (2) How can imperfect self-driving technology be supplemented by using service flexibility? This study implements an autonomous taxi service prototype through a Wizard of Oz method. Moreover, by conducting field tests with scenarios involving an actual taxi, this study examines customer pain points, and provides a user-experience-based design solutions for resolving them.

2-IMMERSE: A Platform for Production, Delivery, and Orchestration of Distributed Media Applications

This paper describes an overview of the architecture of an evaluated multiscreen experience based on MotoGP sports content, which was developed using an object-based broadcasting approach. This architecture enables experiences to be implemented as distributed media applications consisting of components orchestrated by a cloud-hosted service platform. The MotoGP service prototype was evaluated by more than 90 MotoGP fans, and assessments of the features and the experience have been broadly positive.

The Integrated Disaster Reduction Intelligent Service System and its Application

Abstract. Geo-spatial information technology can provide data resources, positioning benchmarks, basic framework and key technologies for disaster prevention and reduction. At present, there are some problems in China’s disaster reduction services. Too much focus is placed on decision-making but not on early warning. In addition, the integration of technology, system and application of disaster reduction services is not enough. There is still a lack of a unified understanding an integrated disaster reduction intelligent service system. In order to provide technical support for China's comprehensive disaster reduction decision analysis, from the perspective of surveying, mapping, and geoinformation, this paper introduces an integrated disaster reduction intelligent service prototype system, which is concluded key technologies such as indoor and outdoor integrated emergency location, multi-source emergency data fusion, disaster scene visualization, and disaster model analysis services. Moreover, the integrated disaster reduction intelligent service prototype system has been applied in relevant emergency departments in Tibet and Xinjiang, realizing the integrated sensing, positioning, integration, analysis and service of emergency information.

Combination of GRACE monthly gravity fields on the normal equation level

A large number of time-series of monthly gravity fields derived from GRACE data provide users with a wealth of information on mass transport processes in the system Earth. The users are, however, left alone with the decision which time-series to analyze. Following the example of other well-known combination services provided by the geodetic community, the prototype of a combination service has been developed within the frame of the project EGSIEM (2015–2017) to combine the different time-series with the goal to provide a unique and superior product to the user community. Four associated analysis centers (ACs) of EGSIEM, namely AIUB, GFZ, GRGS and IfG, generated monthly gravity fields which were then combined using the different normal equations (NEQs). But the relative weights determined by variance component estimation (VCE) on the NEQ level do not lead to an optimal combined product due to the different processing strategies applied by the individual ACs. We therefore resort to VCE on the solution level to derive relative weights that are representative of the noise levels of the individual solutions. These weights are then applied in the combination on the NEQ level. Prior to combination, empirical scaling factors that are based on pairwise combinations of NEQs are derived to balance the impact of the NEQs on the combined solution. We compare the processing approaches of the different ACs and introduce quality measures derived either from the differences w.r.t. the monthly means of the individual gravity fields or w.r.t. a deterministic signal model. After combination, the gravity fields are validated by comparison to the official GRACE SDS RL05 time-series and the individual contributions of the associated ACs in the spectral and the spatial domain. While the combined gravity fields are comparable in signal strength to the individual time-series, they stand out by their low noise level. In terms of noise, they are in 90% of all months as good or better than the best individual contribution from IfG and significantly less noisy than the official GRACE SDS RL05 time-series.

European Gravity Service for Improved Emergency Management (EGSIEM)—from concept to implementation

Earth observation satellites yield a wealth of data for scientific, operational and commercial exploitation. However, the redistribution of mass in the system Earth is not yet part of the standard inventory of Earth Observation (EO) data products to date. It is derived from the Gravity Recovery and Climate Experiment (GRACE) mission and its Follow-On mission (GRACE-FO). Among many other applications, mass redistribution provides fundamental insights into the global water cycle. Changes in continental water storage impact the regional water budget and can, in extreme cases, result in floods and droughts that often claim a high toll on infrastructure, economy and human lives. The initiative for a European Gravity Service for Improved Emergency Management (EGSIEM) established three different prototype services to promote the unique value of mass redistribution products for Earth Observation in general and for early-warning systems in particular. The first prototype service is a scientific combination service to derive improved mass redistribution products from the combined knowledge of the European GRACE analysis centres. Second, the timeliness and reliability of such products is a primary concern for any early-warning system and therefore EGSIEM established a prototype for a near real-time service that provides dedicated gravity field information with a maximum latency of 5 d. Third, EGSIEM established a prototype of a hydrological/early warning service that derives wetness indices as indicators of hydrological extremes and assessed their potential for timely scheduling of high-resolution optical/radar satellites for follow-up observations in case of evolving hydrological extreme events.

An agile and effective network function virtualization infrastructure for the Internet of Things

The processing and power-consumption constraints of the Internet of Things devices hinder them to offer more complex network services than the simple data transmission in smart city scenarios. The lack of complex services, such as security and quality of service, can even foster disasters in urban centers. In this paper, we propose the integration of complex network services from the IoT devices till a cloud environment through an agile and effective network function virtualization infrastructure of isolated IoT domains. Therefore, our proposal develops a simple gateway access node that virtualizes the domains to which the devices connect. A prototype for services of security and quality of service has been implemented and its evaluation shows that virtualization of the access node does not impact the performance of virtual network functions. The results also show that the proposal provides security for IoT devices, identifying malicious traffic with 99.8% accuracy, avoiding denial of essential services, and ensuring the quality of service.

Conceptual User Interface Design Process for Healthcare App for Primary Care Level Services in India

Combining healthcare services on a primary care level, at a basic rather than specialised extent, for elementary treatment seeking people, can be challenging but yet useful. In fact, there are many different healthcare apps currently available in the emporium of India, however, their lack of usability as well as appropriate user interface is a major concern. Thus, the possibility of creating convenient and sustainable user interface and experience has great potentials in this regard. This paper presents a Proof-of-Concept (PoC) prototype for primary care level services in India, enabling seamless communication amongst pharmacies, clinics and relevant specialised services, demonstrating chronological steps of the conceptual user interface design process. The initial usability test results of the app reveal positive upshots. The PoC prototype, developed exploring service design processes, can be used for reference and guidance for the researchers, developers and other concerned stakeholders.

Web-based solution to automate capability matchmaking for rapid system design and reconfiguration

Modern manufacturing companies desire rapid responsiveness from their production systems, in order to operate efficiently in highly dynamic environments. There is a need for design tools, which can support production system design and reconfiguration by providing automatic matchmaking between product requirements and resource capabilities. Such matchmaking is currently time consuming and heavily dependent upon designer’s experience. This paper introduces a prototype of a web-based software service, which carries out this matchmaking task automatically, and how it is designed to meet the requirements of manufacturing industry. Software engineering process has been followed for the development. We also describe a case example, which illustrates how the production system designer can interact with matchmaking activity through its web service interface. We expect that web service-based approach to matchmaking will reduce the technical barrier for adoption by the manufacturing industry as existing planning and reconfiguration systems can utilize the service with small efforts.

Advanced Analytics service to enhance workflow control at the ATLAS Production System

Modern workload management systems that are responsible for central data production and processing in High Energy and Nuclear Physics experiments have highly complicated architectures and require a specialized control service for resource and processing components balancing. Such a service represents a comprehensive set of analytical tools, management utilities and monitoring views aimed at providing a deep understanding of internal processes, and is considered as an extension for situational awareness analytic service. Its key points are analysis of task processing, e.g., selection and regulation of key task features that affect its processing the most; modeling of processed data life-cycles for further analysis, e.g., generate guidelines for particular stage of data processing; and forecasting processes with focus on data and tasks states as well as on the management system itself, e.g., to detect the source of any potential malfunction. The prototype of the advanced analytics service will be an essential part of the analytical service of the ATLAS Production System (ProdSys2). Advanced analytics service uses such tools as Time-To-Complete (TTC) estimation towards units of the processing (i.e., tasks and chains of tasks) to control the processing state and to be able to highlight abnormal operations and executions. Obtained metrics are used in decision making processes to regulate the system behaviour and resources consumption.

Designing of Technopreneurship Scientific Learning Framework in Vocational-based Higher Education in Indonesia

The complexity of problems at work and high working demands require students to develop multiple skills. One of the alternatives for encountering those conditions is through the process of Entrepreneurship activities or training, especially in vocational-based higher education and other public higher education. This paper aims to present designing process of technopreneurship scientific learning framework in vocational-based higher education. The research used Four D Model (4-D model) which followed stages of 1) Define, 2) Design, 3) Develop, and 4) Disseminate. While in this preliminary research, the stages were conducted only up to the design phase. The framework of technopreneurship scientific learning model resulted consists of, 1) identified problems, needs analysis and learning analysis; 2) scientific technopreneurship cooperative approach; 3) design of the scientific technopreneurship business plan; 4) product (prototype of goods and/or services), and 5) work evaluation. The results elaborate that thetechnopreneurship scientific learning model is as an alternative to producing well-prepared graduates for survival in the society by applying the entrepreneurship skills-based technology.

Prototyping a Web-Scale Multimedia Retrieval Service Using Spark

The world has experienced phenomenal growth in data production and storage in recent years, much of which has taken the form of media files. At the same time, computing power has become abundant with multi-core machines, grids, and clouds. Yet it remains a challenge to harness the available power and move toward gracefully searching and retrieving from web-scale media collections. Several researchers have experimented with using automatically distributed computing frameworks, notably Hadoop and Spark, for processing multimedia material, but mostly using small collections on small computing clusters. In this article, we describe a prototype of a (near) web-scale throughput-oriented MM retrieval service using the Spark framework running on the AWS cloud service. We present retrieval results using up to 43 billion SIFT feature vectors from the public YFCC 100M collection, making this the largest high-dimensional feature vector collection reported in the literature. We also present a publicly available demonstration retrieval system, running on our own servers, where the implementation of the Spark pipelines can be observed in practice using standard image benchmarks, and downloaded for research purposes. Finally, we describe a method to evaluate retrieval quality of the ever-growing high-dimensional index of the prototype, without actually indexing a web-scale media collection.

Chilean geo client application for disasters

Abstract. The global network of the Group on Earth Observation, GEO, connects all kinds of professionals from public and private institutions with data providers, sharing information to face the challenges of global changes and human development and they are creating a Global Earth Observation System of Systems (GEOSS) to connect existing data infrastructures. A GEOSS Architecture Implementation Pilot Project for Disasters in Chile (AIP-8) was created as part of a capacity building initiative and representatives of different national agencies in Chile, along with international experts, formed a GEOSS Capacity Building Working Group (Lovison et al, 2016). Consistent with the objectives of GEOSS AIP-8 Chile, we developed and implemented a prototype service based on web services, mobile applications and other communication channels, which allows connecting different sources of information, aiming to reduce population vulnerability to natural disasters such as: earthquakes, flooding, wild fires and tsunamis, which is presented here. The GEO Chile client application is a JavaScript application using GEODAB brokering services, GIS technology and disaster information provided by national and international disaster services, including public and private organizations, where cartography becomes fundamental as a tool to provide realism and ubiquity to the information. Seven hotpots are targeted: Calbuco, Copahue and Villarrica volcanoes areas, Valparaíso city, which is frequently a victim of wildfires in the zone where population meets forest and Iquique, Illapel and Talcahuano, areas frequently struck by earthquakes and tsunamis.

Service-user participation in developing social services: applying the experiment-driven approach

ABSTRACTParticipatory approaches are needed in Finland for service users to participate in designing and developing social services. New collaborative methods are the focus of this research, as this pilot case-study analyses the experiment-driven design approach and its consequences on service users’ agency and participation. This practitioner research belongs to the pragmatist research tradition. The data comprises transcribed focus group and individual interviews of service users and social workers in group operations in a Finnish municipal adult social service organisation. The data are evaluated by content analysis. The experiments with service prototypes allowed the service users to observe the consequences of their actions in practice. Instead of only being heard and consulted, the service users found they could influence the practice in concrete ways. The professionals and organisation shaped the service users’ participation and agency by operating as gatekeepers in sharing power. The service users reported that collaboration with professionals and participation in the group gave them a sense of renewed citizenship, improved social skills and helped to manage with personal illnesses or daily struggles. The research concludes that experimentation can provide a way to utilise experiential knowledge in developing social work collaboratively.

Geocoding, Publishing, and Using Historical Places and Old Maps in Linked Data Applications

This paper presents a Linked Open Data brokering service prototype Hipla.fi for using and maintaining historical place gazetteers and maps based on distributed SPARQL endpoints. The service introduces several novelties: First, the service facilitates collaborative maintenance of geo-ontologies and maps in real time as a side effect of annotating contents in legacy cataloging systems. The idea is to support a collaborative ecosystem of curators that creates and maintains data about historical places and maps in a sustainable way. Second, in order to foster understanding of historical places, the places can be provided on both modern and historical maps, and with additional contextual Linked Data attached. Third, since data about historical places is typically maintained by different authorities and in different countries, the service can be used and extended in a federated fashion, by including new distributed SPARQL endpoints (or other web services with a suitable API) into the system.

A value sampling method for evaluating user value: a case study of a smartphone

User value can be defined as desirable states of existence or modes of behaviour. Many user experience (UX) researchers have started to acknowledge user value. Value-centred design can help designers provide positive experiences to users. Although several studies have been conducted to define user value, studies that evaluate user value are difficult to locate in the literature. Many methods for evaluating abstract and ambiguous constructs are known. However, user value is more difficult to evaluate than other constructs because of its ambiguity and variability. In this study, value evaluation methods are reviewed and factors that the methods should consider are identified. Then, a value sampling method (VSM) that considers these identified factors is developed. A case study using the smartphone is conducted to verify VSM. The result of this study can assist designers to evaluate their product or service prototypes in terms of user value.