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Meditation practice is mental health training. It helps people to reduce stress and suppress negative thoughts. In this paper, we propose a camera-based meditation evaluation system, that helps meditators to improve their performance. We rely on two main criteria to measure the focus: the breathing characteristics (respiratory rate, breathing rhythmicity and stability), and the body movement. We introduce a contactless sensor to measure the respiratory rate based on a smartphone camera by detecting the chest keypoint at each frame, using an optical flow based algorithm to calculate the displacement between frames, filtering and de-noising the chest movement signal, and calculating the number of real peaks in this signal. We also present an approach to detecting the movement of different body parts (head, thorax, shoulders, elbows, wrists, stomach and knees). We have collected a non-annotated dataset for meditation practice videos consists of ninety videos and the annotated dataset consists of eight videos. The non-annotated dataset was categorized into beginner and professional meditators and was used for the development of the algorithm and for tuning the parameters. The annotated dataset was used for evaluation and showed that human activity during meditation practice could be correctly estimated by the presented approach and that the mean absolute error for the respiratory rate is around 1.75 BPM, which can be considered tolerable for the meditation application.
Alexey Kashevnik; Walaa Othman; Igor Ryabchikov; Nikolay Shilov. Estimation of Motion and Respiratory Characteristics during the Meditation Practice Based on Video Analysis. Sensors 2021, 21, 3771 .
AMA StyleAlexey Kashevnik, Walaa Othman, Igor Ryabchikov, Nikolay Shilov. Estimation of Motion and Respiratory Characteristics during the Meditation Practice Based on Video Analysis. Sensors. 2021; 21 (11):3771.
Chicago/Turabian StyleAlexey Kashevnik; Walaa Othman; Igor Ryabchikov; Nikolay Shilov. 2021. "Estimation of Motion and Respiratory Characteristics during the Meditation Practice Based on Video Analysis." Sensors 21, no. 11: 3771.
Providing personalized information to a wide audience, e.g., digital signage requires approaches and technologies different from those used for individual users. Such systems have to take care of user confidentiality and dynamically assess their interests. The paper developed earlier presented works on this topic and concentrates on the description of the ontological modeling of user interests and preferences as well as major components of such system. The developed ontological model intensively uses various types of relationships in order to provide for quantitative evaluation the user interest in a particular topic and semantic proximity of interests. It also enables generalization of interests, which is helpful for finding common interests for small amount of people, who are not related to each other and unlikely have much in common. Proposed structure of granular anonymous user profiles makes it possible to take care of the user confidentiality and to dynamically adapt to new information.
Nikolay Shilov; Nikolay Teslya. Personalized Information Representation to Anonymous Users: Digital Signage Case. Advances in Intelligent Systems and Computing 2020, 74 -86.
AMA StyleNikolay Shilov, Nikolay Teslya. Personalized Information Representation to Anonymous Users: Digital Signage Case. Advances in Intelligent Systems and Computing. 2020; ():74-86.
Chicago/Turabian StyleNikolay Shilov; Nikolay Teslya. 2020. "Personalized Information Representation to Anonymous Users: Digital Signage Case." Advances in Intelligent Systems and Computing , no. : 74-86.
Complex systems (such as automation systems), from here on referred as “products” are usually difficult for customers to specify since there are a lot of parameters to be defined and the customer should perfectly know what is really needed and important for the supplier in order to provide for a proper system. As a result, creating forms and templates for the customer request specification entry helps only for relatively simple tasks and the completely digital request acquisition and processing is still a matter of future work. Currently, the original request specification comes from the customer in various ways (texts, images, diagrams, a phone or a direct talk to the company’s sales representative) and the results of the analysis of this specification are often forwarded further to the back-office in a form of free or semi-structured text written in natural language. Since this text is the main source of information about the customer request, it is very important to extract as much information from it as possible. The paper reports the research and development work on semantic text analysis for information extraction from customer requests written in natural language. The core of the work is development of methods for finding a pre-defined list of terms (product parameters that are important for the order specification) in a fuzzy (similarity-based) manner with the help of synonym dictionaries. The results are illustrated on a case study from the automation equipment producer Festo SE & Co KG.
Alexander Smirnov; Nikolay Shilov; Kathrin Evers; Dirk Weidig. Free Text Customer Requests Analysis: Information Extraction Based on Fuzzy String Comparison. Collaboration in a Hyperconnected World 2020, 193 -202.
AMA StyleAlexander Smirnov, Nikolay Shilov, Kathrin Evers, Dirk Weidig. Free Text Customer Requests Analysis: Information Extraction Based on Fuzzy String Comparison. Collaboration in a Hyperconnected World. 2020; ():193-202.
Chicago/Turabian StyleAlexander Smirnov; Nikolay Shilov; Kathrin Evers; Dirk Weidig. 2020. "Free Text Customer Requests Analysis: Information Extraction Based on Fuzzy String Comparison." Collaboration in a Hyperconnected World , no. : 193-202.
Enterprise Architecture (EA) management has been discussed as being supportive for implementation of regulations in enterprises and organizations, but the role of EA frameworks in this context has not been addressed intensely. The EU General Data Protection Regulation (GDPR) is one of the most frequently discussed regulation in industry and research, and expected to cause a shift in viewpoint of enterprises from a technological perspective dominated by information security issues to an organizational perspective governed by GDPR-compliant organizational structures and processes. A well-documented Enterprise Architecture (EA) and a working Enterprise Architecture Management (EAM) organization are expected to significantly ease the roadmap planning for GDPR implementation. Therefore, this article focuses on the practice of EA use for GDPR implementation. The main contributions of this article are (a) an analysis and comparison of existing architecture frameworks and how they address security-related issues, and (b) a case study from financial industries illustrating the use of EA for implementing GDPR compliance.
Johannes Wichmann; Kurt Sandkuhl; Nikolay Shilov; Alexander Smirnov; Felix Timm; Matthias Wißotzki. Enterprise Architecture Frameworks as Support for Implementation of Regulations: Approach and Experiences from GDPR. Complex Systems Informatics and Modeling Quarterly 2020, 31 -48.
AMA StyleJohannes Wichmann, Kurt Sandkuhl, Nikolay Shilov, Alexander Smirnov, Felix Timm, Matthias Wißotzki. Enterprise Architecture Frameworks as Support for Implementation of Regulations: Approach and Experiences from GDPR. Complex Systems Informatics and Modeling Quarterly. 2020; (24):31-48.
Chicago/Turabian StyleJohannes Wichmann; Kurt Sandkuhl; Nikolay Shilov; Alexander Smirnov; Felix Timm; Matthias Wißotzki. 2020. "Enterprise Architecture Frameworks as Support for Implementation of Regulations: Approach and Experiences from GDPR." Complex Systems Informatics and Modeling Quarterly , no. 24: 31-48.
This paper presents an analysis of modern research related to potential threats in a vehicle cabin, which is based on situation monitoring during vehicle control and the interaction of the driver with intelligent transportation systems (ITS). In the modern world, such systems enable the detection of potentially dangerous situations on the road, reducing accident probability. However, at the same time, such systems increase vulnerabilities in vehicles and can be sources of different threats. In this paper, we consider the primary information flows between the driver, vehicle, and infrastructure in modern ITS, and identify possible threats related to these entities. We define threat classes related to vehicle control and discuss which of them can be detected by smartphone sensors. We present a case study that supports our findings and shows the main use cases for threat identification using smartphone sensors: Drowsiness, distraction, unfastened belt, eating, drinking, and smartphone use.
Alexey Kashevnik; Andrew Ponomarev; Nikolay Shilov; Andrey Chechulin. In-Vehicle Situation Monitoring for Potential Threats Detection Based on Smartphone Sensors. Sensors 2020, 20, 5049 .
AMA StyleAlexey Kashevnik, Andrew Ponomarev, Nikolay Shilov, Andrey Chechulin. In-Vehicle Situation Monitoring for Potential Threats Detection Based on Smartphone Sensors. Sensors. 2020; 20 (18):5049.
Chicago/Turabian StyleAlexey Kashevnik; Andrew Ponomarev; Nikolay Shilov; Andrey Chechulin. 2020. "In-Vehicle Situation Monitoring for Potential Threats Detection Based on Smartphone Sensors." Sensors 20, no. 18: 5049.
The participatory budgeting as a part of e-Government becomes powerful approach that helps citizens to solve issues in the local area with support from government. Implementation of the participatory budgeting in new areas as well as its development is existing ones requires analysis of successful cases integrated with survey of local citizens. The paper addresses to the development of an approach that can be used to conduct surveys, analyze results and get statistics in semi-automatic way. Starting with an overview of top analytical tools, this paper identifies requirements and presents data-analysis system prototype. The prototype is focused on providing information space to analyze data. Data is gathered from various public and government information systems including surveys on participatory budgeting conducted by the governments. The system introduces data processing mechanics decisive for deeper data understanding. The paper also demonstrates prototype microservice architecture, including reasoning for each chosen technology. Prototype was evaluated on the survey conducted in Saint Petersburg municipality.
Nikolay Teslya; Denis Bakalyar; Denis Nechaev; Andrei Chugunov; Georgiy Moskvitin; Nikolay Shilov. Survey Analysis System for Participatory Budgeting Studies: Saint Petersburg Case. Communications in Computer and Information Science 2020, 237 -249.
AMA StyleNikolay Teslya, Denis Bakalyar, Denis Nechaev, Andrei Chugunov, Georgiy Moskvitin, Nikolay Shilov. Survey Analysis System for Participatory Budgeting Studies: Saint Petersburg Case. Communications in Computer and Information Science. 2020; ():237-249.
Chicago/Turabian StyleNikolay Teslya; Denis Bakalyar; Denis Nechaev; Andrei Chugunov; Georgiy Moskvitin; Nikolay Shilov. 2020. "Survey Analysis System for Participatory Budgeting Studies: Saint Petersburg Case." Communications in Computer and Information Science , no. : 237-249.
Due to the variety of possible solutions for handling applications, formalization of a customer request is not an easy task. The paper addresses this problem proposing a Task Model description independent on particular automation components. The model makes it possible to describe complex handling processes, handling function parameters, as well as interdependencies between these parameters. The developed prototype enables building a Task Model through a graphical user interface and also helps to find correct handling functions via interactive selection of function characteristics.
Alexander Smirnov; Nikolay Shilov; Maxim Shchekotov. Task Model Representation: Approach and Prototype. IFAC-PapersOnLine 2019, 52, 1603 -1608.
AMA StyleAlexander Smirnov, Nikolay Shilov, Maxim Shchekotov. Task Model Representation: Approach and Prototype. IFAC-PapersOnLine. 2019; 52 (13):1603-1608.
Chicago/Turabian StyleAlexander Smirnov; Nikolay Shilov; Maxim Shchekotov. 2019. "Task Model Representation: Approach and Prototype." IFAC-PapersOnLine 52, no. 13: 1603-1608.
Today, companies feel a need to invest in digital transformation due to customer demand and market pressure, but at the same time also experience many challenges in planning and implementing digital transformation processes. The aim of the paper is to facilitate this process in the following areas: identification of factors on digital transformation projects to be observed, multi-aspect digital transformation ontology formalizing the elements and interrelationships of these factors with an illustrative example and application steps.
Kurt Sandkuhl; Nikolay Shilov; Alexander Smirnov. Facilitating Digital Transformation by Multi-Aspect Ontologies: Approach and Application Steps. IFAC-PapersOnLine 2019, 52, 1609 -1614.
AMA StyleKurt Sandkuhl, Nikolay Shilov, Alexander Smirnov. Facilitating Digital Transformation by Multi-Aspect Ontologies: Approach and Application Steps. IFAC-PapersOnLine. 2019; 52 (13):1609-1614.
Chicago/Turabian StyleKurt Sandkuhl; Nikolay Shilov; Alexander Smirnov. 2019. "Facilitating Digital Transformation by Multi-Aspect Ontologies: Approach and Application Steps." IFAC-PapersOnLine 52, no. 13: 1609-1614.
Early steps of ongoing digital transformation in companies is often driven by local business needs and results in usage of various information systems aimed at assisting in solving particular tasks. However, this leads to a dead end and further transformation is not possible without integration, what, in turn, requires interoperability support. The solution that seems to be the most simple is to use one complex system. However, various legacy systems used in various departments of companies have accumulated large volumes of corporate information and knowledge that are not easy to transfer into another system. Besides, spending time of specialists to learn different systems instead of those they are used to is not the best idea either. Though, the problem technical interoperability support is solved through usage of commonly accepted standards, the semantic interoperability is still an issue. In the previous paper, research results related to selection of the most appropriate solution for building a common information model enabling seamless knowledge exchange preserving existing information models was presented. This paper makes a step further through building a multi-aspect ontology taking into account differences between terminologies used in various information systems.
Nikolay Shilov; Nikolay Teslya. Ontology-Based Fragmented Company Knowledge Integration: Multi-aspect Ontology Building. Business Information Systems 2019, 181 -189.
AMA StyleNikolay Shilov, Nikolay Teslya. Ontology-Based Fragmented Company Knowledge Integration: Multi-aspect Ontology Building. Business Information Systems. 2019; ():181-189.
Chicago/Turabian StyleNikolay Shilov; Nikolay Teslya. 2019. "Ontology-Based Fragmented Company Knowledge Integration: Multi-aspect Ontology Building." Business Information Systems , no. : 181-189.
Introduction: The use of digital signage is currently a popular way to provide information to large groups of people. However,personalized (oriented to the interests and preferences of a particular user) and contextualized (taking into account the currentsituation) information delivery through digital signage is subject to a number of technological and legislative restrictions. Purpose:Development of a methodology of systems providing personalized information through digital signage. Results: The requirementsto the systems providing personalized information through digital signage have been specified: user anonymity, dynamic evaluationof user interest, user clustering, structured storage and processing of user interests and preferences, situational awareness. Theprinciples of the functioning of the systems of the specified class have been determined taking into account the need to preserveconfidentiality of personal data: information collection without active user participation, usage of anonymous profiles, self-learningand adaptation, ontological modelling of user interests and preferences, application of context management technology. An originalmethodology of the functioning of the considered systems has been proposed, characterized by the presence of feedback for refinementof the information delivered and information about users, as well as by the absence of any active participation of the users. The feedbackis achieved through application of the image analysis techniques, that allow to identify precisely enough the time spent by the users forwatching the information at digital signage as well as their age, gender, and emotions. Partial approbation of the results in the partof assessing personal visual characteristics (gender, age, emotional state) has been carried out based on photo analytics. It is shownthat chosen software tools enable evaluation of the user visual characteristics (age, gender, and emotions) with high precision, andshowing animated images ca affect the emotional state of the viewer. Practical relevance: The proposed requirements, principles andmethodology can be used for creating systems delivering personalized information to large groups of people, such as digital signage andelectronic scoreboards.
Nikolai Shilov. Personalization of information delivery through digital signage: major requirements and methodology. Information and Control Systems 2019, 19 -28.
AMA StyleNikolai Shilov. Personalization of information delivery through digital signage: major requirements and methodology. Information and Control Systems. 2019; (4):19-28.
Chicago/Turabian StyleNikolai Shilov. 2019. "Personalization of information delivery through digital signage: major requirements and methodology." Information and Control Systems , no. 4: 19-28.
Companies have multiple business process, some of which are supported by knowledge described via ontologies. However, due to their nature, the processes use different knowledge notation what causes a problem of integrating such fragmented heterogeneous knowledge. The paper investigates the problem of developing a single multi-domain ontology for integrating company knowledge taking into account differences between terminologies and formalisms used in various business processes. Different options of designing ontologies covering multiple domains are considered. Three of them: (i) ontology localization/multilingual ontologies, (ii) granular ontologies, and (iii) ontologies with temporal logics are considered in details and analyzed.
Alexander Smirnov; Nikolay Shilov. Ontology-Based Fragmented Company Knowledge Integration: Possible Approaches. Business Information Systems 2019, 30 -37.
AMA StyleAlexander Smirnov, Nikolay Shilov. Ontology-Based Fragmented Company Knowledge Integration: Possible Approaches. Business Information Systems. 2019; ():30-37.
Chicago/Turabian StyleAlexander Smirnov; Nikolay Shilov. 2019. "Ontology-Based Fragmented Company Knowledge Integration: Possible Approaches." Business Information Systems , no. : 30-37.
Interoperability support is a key task to enable seamless integration between various information systems. Today, in the era of Internet of Things and cyber-physical systems more and more systems have to collaborate. Product lifecycle management is not an exception. It covers multiple processes related to all stages of the product lifecycle and usually aimed at solving various tasks using different apparatus. As a result, a dilemma arises: on the one hand, there is a need of common information models enabling seamless information exchange, and on the other hand, the existing information models need to be preserved in order not to lose the already achieved efficiency in solving various tasks. In the present research, the problem of developing a single ontology for PLM support is investigated taking into account differences between terminologies (multi-aspect ontology) used at various stages of the PLM cycle. In this paper, the process of the multi-aspect PLM ontology building is presented based on the case study of PLM support at the automation equipment producer, Festo AG & Co KG.
Alexander Smirnov; Nikolay Shilov; Vladimir Parfenov. Building a Multi-aspect Ontology for Semantic Interoperability in PLM. Security Education and Critical Infrastructures 2019, 107 -115.
AMA StyleAlexander Smirnov, Nikolay Shilov, Vladimir Parfenov. Building a Multi-aspect Ontology for Semantic Interoperability in PLM. Security Education and Critical Infrastructures. 2019; ():107-115.
Chicago/Turabian StyleAlexander Smirnov; Nikolay Shilov; Vladimir Parfenov. 2019. "Building a Multi-aspect Ontology for Semantic Interoperability in PLM." Security Education and Critical Infrastructures , no. : 107-115.
Product lifecycle management covers a number of stages that deal with different tasks and apply different methods but require intensive information exchange to be efficient. Information support of these stages has to address this problem. However, successful implementation of information support systems requires solving the problem of interoperability of heterogeneous information related to different PLM stages. The paper investigates the problem of developing a single ontology for PLM support taking into account differences between terminologies (multi-aspect ontology) used at various stages of the PLM cycle. Different options of designing ontologies covering multiple domains have been considered. Three of them: (i) ontology localization/multilingual ontologies (ii) granular ontologies, and (iii) ontologies with temporal logics are considered in details and analysed. The analysis is based on the case study of PLM support at the automation equipment producer Festo AG & Co KG.
Alexander Smirnov; Nikolay Shilov. Multi-aspect Ontology for Semantic Interoperability in PLM: Analysis of Possible Notations. IFIP International Federation for Information Processing 2018, 314 -323.
AMA StyleAlexander Smirnov, Nikolay Shilov. Multi-aspect Ontology for Semantic Interoperability in PLM: Analysis of Possible Notations. IFIP International Federation for Information Processing. 2018; ():314-323.
Chicago/Turabian StyleAlexander Smirnov; Nikolay Shilov. 2018. "Multi-aspect Ontology for Semantic Interoperability in PLM: Analysis of Possible Notations." IFIP International Federation for Information Processing , no. : 314-323.
Information processing systems utilizing the input received from human contributors are currently gaining popularity. One of the problems relevant to most of these systems is that they need a large number of contributors to function properly, while collecting this number of contributors may require significant effort and time. In the ongoing research, this problem is addressed by adaptation of cloud computing resource management principles to human-computer systems. The proposed human-computer cloud environment relies heavily on the use of ontologies for both resource discovery and automatic decision support workflow composition. This paper describes the set of main ontological models of the proposed human-computer cloud. Namely, the ontological model of the cloud environment, ontological model of the decision support system based on this environment and the ontology-based mechanism for workflow construction. The paper also illustrates the principles of dynamic workflow construction by an example from e-Tourism domain.
Alexander Smirnov; Tatiana Levashova; Nikolay Shilov; Andrew Ponomarev. Human-Computer Cloud for Decision Support: Main Ontological Models and Dynamic Resource Network Configuration. Advances in Intelligent Systems and Computing 2018, 16 -25.
AMA StyleAlexander Smirnov, Tatiana Levashova, Nikolay Shilov, Andrew Ponomarev. Human-Computer Cloud for Decision Support: Main Ontological Models and Dynamic Resource Network Configuration. Advances in Intelligent Systems and Computing. 2018; ():16-25.
Chicago/Turabian StyleAlexander Smirnov; Tatiana Levashova; Nikolay Shilov; Andrew Ponomarev. 2018. "Human-Computer Cloud for Decision Support: Main Ontological Models and Dynamic Resource Network Configuration." Advances in Intelligent Systems and Computing , no. : 16-25.
Development of information and communication technologies causes appearance of new various concepts (Internet of Things, e-business, e-government, etc.). The paper proposes an on-going research aimed at integration of the concepts of connected car as a product-service system (system that integrates physical components and electronic services) with e-tourism. The concept and of a system aimed at context-dependent planning and dynamic adaptation of guided tourist rides in a car are described. The system is based on the usage of car connectivity technologies and cloud-based services and is built around the previously developed by the authors tourist support system TAIS.
Alexander Smirnov; Nikolai Shilov; Oleg Gusikhin. Context-Dependent Guided Tours: Approach and Technological Framework. Advances in Intelligent Systems and Computing 2018, 43 -50.
AMA StyleAlexander Smirnov, Nikolai Shilov, Oleg Gusikhin. Context-Dependent Guided Tours: Approach and Technological Framework. Advances in Intelligent Systems and Computing. 2018; ():43-50.
Chicago/Turabian StyleAlexander Smirnov; Nikolai Shilov; Oleg Gusikhin. 2018. "Context-Dependent Guided Tours: Approach and Technological Framework." Advances in Intelligent Systems and Computing , no. : 43-50.
Alexander Smirnov; Maksim Shchekotov; Nikolay Shilov; Andrew Ponomarev. Decision Support Service Based on Dynamic Resource Network Configuration in Human-Computer Cloud. 2018 23rd Conference of Open Innovations Association (FRUCT) 2018, 1 .
AMA StyleAlexander Smirnov, Maksim Shchekotov, Nikolay Shilov, Andrew Ponomarev. Decision Support Service Based on Dynamic Resource Network Configuration in Human-Computer Cloud. 2018 23rd Conference of Open Innovations Association (FRUCT). 2018; ():1.
Chicago/Turabian StyleAlexander Smirnov; Maksim Shchekotov; Nikolay Shilov; Andrew Ponomarev. 2018. "Decision Support Service Based on Dynamic Resource Network Configuration in Human-Computer Cloud." 2018 23rd Conference of Open Innovations Association (FRUCT) , no. : 1.
Nikolay Shilov; Alexander Smirnov; Mikhail Petrov; Vladimir Parfenov. On-Board Dynamic Tour Support System: The Concept and Technological Infrastructure. 2018 23rd Conference of Open Innovations Association (FRUCT) 2018, 1 .
AMA StyleNikolay Shilov, Alexander Smirnov, Mikhail Petrov, Vladimir Parfenov. On-Board Dynamic Tour Support System: The Concept and Technological Infrastructure. 2018 23rd Conference of Open Innovations Association (FRUCT). 2018; ():1.
Chicago/Turabian StyleNikolay Shilov; Alexander Smirnov; Mikhail Petrov; Vladimir Parfenov. 2018. "On-Board Dynamic Tour Support System: The Concept and Technological Infrastructure." 2018 23rd Conference of Open Innovations Association (FRUCT) , no. : 1.
Enterprise modeling (EM) is an established practice in many organizations, but the majority of stakeholders in organizations who produce content relevant for EM use drawing or presentation tools instead of formalized EM techniques. The model-like content of such drawings or presentations often is very valuable for enterprises which calls for a way of integrating it with “real” models and other structured knowledge sources in organizations. This paper investigates how the model-like content of Powerpoint presentations can be extracted and transformed to EM. The main contributions of the paper are (a) an approach for model extraction from Powerpoint, (b) identification of heterogeneities to be tackled during the extraction process and (c) a prototype implementation demonstrating the approach based on ADO.xx.
Achim Reiz; Kurt Sandkuhl; Alexander Smirnov; Nikolay Shilov. Grass-Root Enterprise Modeling: Issues and Potentials of Retrieving Models from Powerpoint. Business Information Systems 2018, 55 -70.
AMA StyleAchim Reiz, Kurt Sandkuhl, Alexander Smirnov, Nikolay Shilov. Grass-Root Enterprise Modeling: Issues and Potentials of Retrieving Models from Powerpoint. Business Information Systems. 2018; ():55-70.
Chicago/Turabian StyleAchim Reiz; Kurt Sandkuhl; Alexander Smirnov; Nikolay Shilov. 2018. "Grass-Root Enterprise Modeling: Issues and Potentials of Retrieving Models from Powerpoint." Business Information Systems , no. : 55-70.
Information presentation to a wide audience on large screens (digital signage) is quite popular both in publicly accessible places (shopping malls, exhibitions) and in places accessible to limited groups of people (condominiums, company offices). It can be used for both advertisement and non-commercial information delivery. Though targeted information delivery to one person (e.g., advertisement banners on Web pages) is well developed so far, targeting of digital signage is not paid sufficient attention. The paper tackles this problem from three perspectives: new technologies of interactive digital signage at elevator doors are considered, an approach to provide for targeted digital signage is developed, and new business models taking advantage of the above technologies and the targeting approach are proposed.
Kurt Sandkuhl; Alexander Smirnov; Nikolay Shilov; Matthias Wißotzki. Targeted Digital Signage: Technologies, Approaches and Experiences. Transactions on Petri Nets and Other Models of Concurrency XV 2018, 77 -88.
AMA StyleKurt Sandkuhl, Alexander Smirnov, Nikolay Shilov, Matthias Wißotzki. Targeted Digital Signage: Technologies, Approaches and Experiences. Transactions on Petri Nets and Other Models of Concurrency XV. 2018; ():77-88.
Chicago/Turabian StyleKurt Sandkuhl; Alexander Smirnov; Nikolay Shilov; Matthias Wißotzki. 2018. "Targeted Digital Signage: Technologies, Approaches and Experiences." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 77-88.
Delivery of demand-oriented and accurate information for a person’s interest has been subject of research since many years. In the last years, focus of attention shifted from just-in-time provision of information to context-oriented personalized information supply. Digital signage is one way of context-oriented information supply and summarizes information presentation to a wide audience on large screens. Work presented in this paper brings together technology-oriented work in digital signage and application-oriented work in the housing industry. More concrete, we have developed new digital signage solutions and investigated their potential for providing innovative services to tenants in apartment buildings, i.e. in the housing industry. The main contribution of this work is (1) an overview to innovative digital signage solutions connected to elevators, (2) the categorization of assistance services in the context of digital signage, and (3) application examples from housing industry.
Kurt Sandkuhl; Matthias Wißotzki; Alexander Smirnov; Nikolay Shilov. Digital Innovation Based on Digital Signage: Method, Categories and Examples. Business Information Systems 2018, 126 -139.
AMA StyleKurt Sandkuhl, Matthias Wißotzki, Alexander Smirnov, Nikolay Shilov. Digital Innovation Based on Digital Signage: Method, Categories and Examples. Business Information Systems. 2018; ():126-139.
Chicago/Turabian StyleKurt Sandkuhl; Matthias Wißotzki; Alexander Smirnov; Nikolay Shilov. 2018. "Digital Innovation Based on Digital Signage: Method, Categories and Examples." Business Information Systems , no. : 126-139.