Ivan Ganchev

Ivan Ganchev
Plovdiv University "Paisii Hilendarski" · Faculty of Mathematics and Informatics

Professor (full)

About

319
Publications
48,839
Reads
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1,881
Citations
Introduction
Prof. Ivan Ganchev is a Deputy Director of the Telecommunications Research Centre (TRC), University of Limerick, Ireland. He is a Full Professor from the University of Plovdiv “Paisii Hilendarski”, Bulgaria. Prof. Ganchev does research in novel telecommunication and information paradigms; modelling, simulation, and emulation of complex information systems, networks, and services; information modelling; future networks and services; smart ubiquitous networking; context-aware networking; mobile cloud computing; Internet of Things (IoT); Internet of Services (IoS); Ambient Assisted Living (AAL); Enhanced Living Environments (ELE); Internet tomography; mHealth and mLearning ICT.

Publications

Publications (319)
Article
This article sets out a consumer-based generic techno-business model foundation for future generations of wireless communications. It is proposed as an evolution of, and alternative to, the legacy subscriber-based model. Two key novel proposals are a person-centric IPv6 address enabling full number portability and an access-network-independent thir...
Conference Paper
This paper proposes a new personal IPv6 address scheme and universal Consumer Identity Module (CIM) card for future ubiquitous consumer wireless world (UCWW) established on the Consumer-based Business Model (CBM). The new person-centric, network-independent, IPv6 address class will enable real consumer number ownership and full anytime-anywhere-any...
Conference Paper
This paper proposes strategic innovations through NGN standardisation to enable the establishment of a consumer-centric business model (CBM) for wireless services. This leads to the evolution of a wireless environment, called here a ubiquitous consumer wireless world (UCWW). In view of the novelty of the concept, the paper focuses on developing the...
Article
‘Always Best Connected’ (ABC) is considered one of the main requirements for next generation networks. The ABC concept allows a person to have access to applications using the devices and network technologies that best suits his or her needs or profile at any time. Clearly, this requires the combination of a set of existing and new technologies, at...
Article
This paper presents some design aspects of the EMULSION IoT platform, developed as a typical example of the horizontal IoT platforms. The architectural overview and multi-tiered structure of the platform are described, with special attention being paid to its modelling & simulation tier as a novel architectural element proposed for inclusion in sim...
Article
This paper presents some of the designed and experimentally-tested low-cost electronic modules, utilized for the creation of a sensor tier for the generic, multi-service, cloud-based operational platform EMULSION, which is being elaborated for rapid building of mobile Internet of Things (IoT) systems and roll-out of corresponding IoT services. The...
Article
The design of a heterogeneous sensor tier for the generic, multi-service, cloud-based, IoT operational platform EMULSION is presented in this paper, along with typical hardware examples and deployment schemas involving different types of sensor sets and monitoring stations for detecting and notifying about the changes occurring in the physical worl...
Article
Full-text available
Rapid and precise detection and classification of vehicles are vital for the intelligent transportation systems (ITSs). However, due to small gaps between vehicles on the road and interference features of photos, or video frames, containing vehicle images, it is difficult to detect and identify vehicle types quickly and precisely. For solving this...
Article
Full-text available
In this paper, a new vision is presented for highly personalized, customized, and contextualized real-time recommendation of services to mobile users (consumers) by considering the current consumer-, network-, and service context. A smart service recommendation system is elaborated, which builds up and dynamically manages personal profiles of consu...
Article
Full-text available
The automatic generation of a text summary is a task of generating a short summary for a relatively long text document by capturing its key information. In the past, supervised statistical machine learning was widely used for this Automatic Text Summarization (ATS) task, but due to its high dependence on the quality of text features, the generated...
Article
Full-text available
This paper proposes an RG hyperparameter optimization approach, based on a sequential use of random search (R) and grid search (G), for improving the blood glucose level prediction of boosting ensemble learning models. An indirect prediction of blood glucose levels in patients is performed, based on historical medical data collected by means of phy...
Conference Paper
Full-text available
Collaborative filtering (CF) has achieved great success in the field of recommender systems. In recent years, many novel CF models, particularly those based on deep learning or graph techniques, have been proposed for a variety of recommendation tasks, such as rating prediction and item ranking. These newly published models usually demonstrate thei...
Article
Full-text available
Based on a convolutional neural network (CNN) approach, this article proposes an improved ResNet-18 model for heartbeat classification of electrocardiogram (ECG) signals through appropriate model training and parameter adjustment. Due to the unique residual structure of the model, the utilized CNN layered structure can be deepened in order to achie...
Article
Full-text available
Matrix Factorization (MF) is one of the most successful Collaborative Filtering (CF) techniques used in recommender systems due to its effectiveness and ability to deal with very large user-item rating matrix. However, when the rating matrix sparseness increases its performance deteriorates. Expanding MF to include side-information of users and ite...
Preprint
Full-text available
Collaborative filtering (CF) has achieved great success in the field of recommender systems. In recent years, many novel CF models, particularly those based on deep learning or graph techniques, have been proposed for a variety of recommendation tasks, such as rating prediction and item ranking. These newly published models usually demonstrate thei...
Article
Full-text available
The accuracy of behavioral interactive features is a key factor for improving the performance of rating prediction. In order to deeply explore the potential rules of user behavior and enhance the accurate representation of interactive features, this paper proposes two rating prediction models, based on the spatial dimension and distance measurement...
Chapter
This chapter provides a taxonomy of schemes for resilient routing followed by a discussion of their application to contemporary architectures of communication networks. In particular, a general classification of schemes for resilient routing is first presented followed by a description of the reference schemes for IP networks. The chapter in its la...
Conference Paper
This paper presents a novel matrix factorization (MF) recommendation model, FeatureMF, which extends item latent vectors with item representation learned from metadata. By taking into account item features, the model addresses the coldstart item problem and data-sparsity problem of collaborative filtering (CF). Extensive experiments conducted on a...
Conference Paper
This paper presents a novel matrix factorization (MF) model, called FeatureMF, which takes into account item features and thus addresses the cold-start item and data sparsity problems of collaborative filtering (CF). More specifically, the model extends item latent vectors with item representation learned from metadata. Experiments conducted on a p...
Book
This open access book is the final publication of the COST Action IC1303 “Algorithms, Architectures and Platforms for Enhanced Living Environments (AAPELE)” project. Ambient Assisted Living (AAL) is an area of research based on Information and Communication Technologies (ICT), medical research, and sociological research. AAL is based on the notion...
Article
Full-text available
This paper presents the design and realization of a ultra-low-power and low-cost remote transfer unit (RTU), working as an outdoor gateway for collecting hydrographic data, such as rainfall, water flow rate, water quality, etc. Based on the NarrowBand Internet of Things (NB-IoT) standard, it facilitates the communication between the sensors and the...
Conference Paper
In this paper, a single-server priority queueing system with a peaked arrival process, generally distributed service time and infinite waiting position is analysed by using the Polya distribution to describe the peaked traffic flow. The model of this queueing system is obtained using a generalized Pollaczek-Khinchin formula. In the paper, the depen...
Article
Full-text available
With the rapid development and increasing complexity of communication systems and interfaces using multiple modalities of communication in human-computer systems such as speech, tactile, gestures, gaze, head and body movements, facial expressions, gait, electroencephalogram (EEG) and electromyogram (EMG) signals, the user requirements for trust, se...
Book
The explosive growth of the Internet has fundamentally changed the global society. The emergence of concepts like SOA, SaaS, PaaS, IaaS, NaaS, and Cloud Computing in general has catalyzed the migration from the information-oriented Internet into an Internet of Services (IoS). This has opened up virtually unbounded possibilities for the creation of...
Conference Paper
In this paper¹, a new single-server priority queueing system with a peaked arrival process and generally distributed service time is analysed by using the Polya distribution to describe the peaked traffic flows. The mean waiting time in the case of infinite number of waiting places is obtained using a generalized Pollaczek-Khinchin formula. It is s...
Chapter
This chapter presents scalable conceptual and analytical performance models of overall telecommunication systems, allowing the prediction of multiple Quality of Service (QoS) indicators as functions of the user- and network behavior. Two structures of the conceptual presentation are considered and an analytical method for converting the presentatio...
Chapter
Full-text available
The explosive growth of the Internet has fundamentally changed the global society. The emergence of concepts like service-oriented architecture (SOA), Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS), Network as a Service (NaaS) and Cloud Computing in general has catalyzed the migration from the informa...
Chapter
Conceptual and analytical models of an overall telecommunication system are utilized in this chapter for the definition of scalable indicators towards Quality of Service (QoS) monitoring, prediction, and management. The telecommunication system is considered on different levels – service phase, service stage, network, and overall system. The networ...
Article
This paper presents a performance analysis of the end-to-end sensor-to-cloud personal living platform. The analysis is based on a typical architecture starting from a single sensor and actuator and continuing to the virtualized services at smart dust, dew, fog and cloud level. The system is diverse and allows interconnection of different sensors/ a...
Article
Full-text available
This paper describes the design and implementation of a smart recommendation system used to discover and suggest to consumers the ‘best’ mobile services in the emerging ubiquitous consumer wireless world (UCWW). The cloud-based system builds up and dynamically manages personal profiles of consumers with big data processing techniques. A consumer id...
Article
Full-text available
With the development of ubiquitous computing, recommendation systems have become essential tools in assisting users in discovering services they would find interesting. This process is highly dynamic with an increasing number of services, distributed over networks, bringing the problems of cold start and sparsity for service recommendation to a new...
Poster
Full-text available
Semantic Recommendation Prototype Adapted for the Ubiquitous Consumer Wireless World
Conference Paper
Full-text available
With the rapid growth of the Web, recommender systems have become essential tools to assist users to find high-quality personalized recommendations from massive information resources. Content-based filtering (CB) and collaborative filtering (CF) are the two most popular and widely used recommendation approaches. In this paper, we focus on ways of t...
Conference Paper
Recommendation systems employed on the Internet aim to serve users by recommending items which will likely be of interest to them. The recommendation problem could be cast as either a rating estimation problem which aims to predict as accurately as possible for a user the rating values of items which are yet unrated by that user, or as a ranking pr...
Conference Paper
Full-text available
This paper proposes an improvement to item recommendation systems based on collaborative filtering (CF) with implicit feedback data. Combined with the Bayesian Personalized Ranking (BPR) optimization approach, recommended for implicit-only feedback contexts, CF has been shown to be effective in generating accurate recommendations. The method, based...
Conference Paper
Exploiting additional item meta-data is proposed in this paper for solving data sparsity and cold start problems found in item-based collaborative filtering (CF) techniques, which are employed in recommendation systems. Additional item meta-data provides the foundation for generating a heterogeneous information network (HIN). The proposed approach...
Article
A generalised Pollaczek–Khinchin formula for the Polya/G/1 queue, with a Polya peaked arrival process, general distributed service times, and infinite number of waiting positions, is obtained. It is shown that the peakedness of the number of arrivals and the variance of the service time lead to a significant increase in the service delay and queue...
Article
This special issue, "Cloud Computing for Enhanced Living Environments (ELEs)," aims to bring together state-of-the-art research efforts addressing advanced cloud computing challenges and solutions for realizing ELEs. The introduction discusses open issues in this area and briefly summarizes the feature articles.
Conference Paper
Full-text available
This paper describes the general service recommendation process matched to the telecommunication service delivery characteristics of the Ubiquitous Consumer Wireless World (UCWW). The goal is to provide consumers with the `best' service instances that match their dynamic, contextualized and personalized requirements and expectations, thereby aligni...
Conference Paper
This paper presents a conceptual framework for building a recommendation engine for use in the ubiquitous consumer wireless world (UCWW). The framework is based on the Lambda Architecture and as such provides real-time recommendations at the speed layer and off-time analytical operations at the batch layer. Moreover, at the speed layer, a root serv...