Theodoros Anagnostopoulos

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Theodoros verified their affiliation via an institutional email.

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• PhD
• Assistant Professor in Information Systems at University of the Aegean

Vehicle ride-sharing commute in smart cities is a service that has changed the way of citizens’ daily life and transportation schedule. Research in vehicle ride sharing aims to provide passengers with a comfortable living and well-being within the city. Ride sharing has a significant role in vehicle transportation services provided to passengers du...

Authentication of Protected Designation of Origin (PDO) Kalamata olive oil is required to assess its quality in the marketplace compared with other olive oil varieties. Concretely, Kalamata is located in southern Greece in the geographic county of Messenia, which is part of the geographic region of Peloponnese and is famous for its extra virgin oli...

On a global scale, technological developments have affected the field of educational technology, while at the same time economic instability and pandemic crises have reshaped the science of accounting. These events have created a new context in higher education adopting more modern teaching approaches such as blended learning, while the integration...

This study investigates the multiple choice question (MCQ) assessment tool to measure the performance of undergraduate students in Social Science degree programs, in a small course setting by comparing the control group and the experimental class. The research is quantitative and 60 students participated in an experiment, 30 in the traditional and...

Adoption of deep learning classification algorithms in the domain area of higher education provides exploratory predictive data analytics able to exploit students’ academic behavior. Concretely, student retention and success are critical concerns in higher education globally. Timely identification of potential delays in graduation is essential for...

Several regional areas in Greece produce high quality olive oil by cultivating certain varieties. Olive oil varieties of Kalamata and Molaoi are of special interest, since they produce extra virgin olive oil. Concretely, Kalamata is a city located in southwestern Greece. Intuitively, Molaoi is a town located in southeastern Greece. Subsequently, bo...

Kalamata is a smart city located in southeastern Greece in the Mediterranean basin and it is the capital of the Messenia regional unit. It is known for the famous Protected Designation of Origin (PDO) Kalamata olive oil produced mainly from the Koroneiki olive variety. The PDO Kalamata olive oil, established by Council regulation (EC) No 510/2006,...

Covid-19 pandemic has changed daily life in the city of Athens where vaccines are exploited with supply chain technology potentiality. Vaccines are tracked at the city’s airport till their delivery to vaccination centers. Due to the sensitivity of vaccines to the warm climate inherent in the city, delivery is assigned to a fleet of trucks. Specific...

Autonomous Unmanned Aerial Vehicle (UAV) technology is able to serve physical disaster recovery needs in Smart Cities (SC). Such critical situations require instant treatment to avoid scaling of the disaster in the whole area of a city. In case of a physical disaster such as a fire in the SC infrastructure is possible to lead to a high coverage are...

Brain-computer interfaces (BCIs) can use data from non-invasive electroencephalogram (EEG) to transform different brain signals into binary code, often aiming to gain control utility of an end-effector (e.g mouse cursor). In the past several years, advances in wearable and immersive technologies have made it possible to integrate EEG with virtual r...

Machine Learning (ML) can be proved as an important tool in planning better business strategies. For the purposes of the present study, the prospect for the development of an electronic platform by a technology firm providing financial services is explored. The purpose of this article is to demonstrate the ways in which a start-up can predict the s...

Electric grid power consumption load is one of the fundamental areas that need to be faced to provide a sustainable and green ecosystem in smart cities. Consumption load as well as supply and availability of electricity to suppliers and customers is a major issue to be faced to have a balanced smart city power grid infrastructure. Balancing in this...

IoT-enabled Unobtrusive Surveillance Systems for Smart Campus Safety

An Unmanned Aerial Vehicle (UAV) supply chain architecture is used to handle flood water leak incidents occurred by physical disasters in Smart Cities (SCs). Floods produce serious problems and inefficiencies in problematic sectors of water grid. Such incidents are treated as a supply chain problem, where each incident is assigned to a certain prio...

An Unmanned Aerial Vehicle (UAV) supply chain architecture is used to handle flood water leak incidents occurred by physical disasters in Smart Cities (SCs). Floods produce serious problems and inefficiencies in problematic sectors of water grid. Such incidents are treated as a supply chain problem, where each incident is assigned to a certain prio...

This chapter summarizes the summary of the comparative assessment performed on a survey. It reviews forty‐four research efforts, 42 research papers and 2 patents, and shows their strengths and weaknesses. Through the survey, the chapter attempts to classify each system according to the authors' taxonomy developed to depict important parts of the re...

Smart campus monitoring is enhanced by the proliferation of sensors and actuators incorporated to support geospatial Internet of Things (IoT) awareness. IoT technology facilitates the incorporation of sensors and actuators for efficient smart campus unobtrusive surveillance. The current survey focuses on research approaches that incorporate unobtru...

This chapter proposes a system that develops a smart campus where every place in the campus is connected to a central Wi‐Fi control unit. The system focuses on smart buildings and smart lighting surveillance, while it incorporates electric vehicles infrastructure. It also uses Internet of Things (IoT) platform, Arduino Uno, wireless sensor network,...

Smart campus is a miniature of smart city since it is inspired from the smart city dimensions and design concepts. This chapter explains the need for unobtrusive monitoring in smart campus infrastructure. In addition, smart campus exploits efficiently the available infrastructure potentiality to provide a sustainable environment for students, acade...

This chapter focuses on the classification of the surveyed research efforts according to the adopted taxonomy, while the final outcome is the proposed solution as a major contribution to the research community. Specifically, classification is based on exploitation of research efforts' significance according to certain metric values. Such metric val...

This chapter presents the concept of smart campus along with its possible malicious attacks by third‐party individuals, which aim to cause harm either to infrastructure and/or to university campus users. Preservation of university campus safety from malevolent third‐party individuals is a principle, which is presented in detail in this research eff...

This conclusion presents some closing thoughts on the key concepts discussed in the preceding chapters of this book. The book performs an analytical survey on internet of things (IoT)‐enabled smart campus surveillance systems available in the literature. It focuses on smart campus as a socially acceptable solution, since contemporary universities a...

The concept of smart cities' (SCs) is analyzed and designed in different regions worldwide. SCs are composed by six fundamental dimensions, which are smart economy, smart governance, smart living, smart mobility, smart people, and smart environment. The fact that development of SCs is prone to resource allocation and adequate budget increases the r...

This chapter proposes a smart campus spatiotemporal authentication system, which is based on certain embodiments related to computer software, hardware, networks, and security methods. Such system includes a method of generating a unique identifier for use in authentication process. Smart university campus embodiments incorporated address the emerg...

Artificial Intelligence (AI) has revolutionized the way organizations face decision-making issues. One of these crucial elements is the implementation of organizational changes. There has been a wide-spread adoption of AI techniques in the private sector, whereas in the public sector their use has been recently extended. One of the greatest challen...

Buildings are a significant energy consumption point since they account for 40% of the total energy demand and around 1/3 of greenhouse gas emissions. Energy-saving measures applied in the residential sector have led to a reduction in energy consumption during the last decade. On the contrary, such measures have not been widely applied in school bu...

Intelligent Transportation Systems (ITSs) and their applications are attracting significant attention in research and industry. ITSs make use of various sensing and communication technologies to assist transportation authorities and vehicle drivers in making informative decisions and provide leisure and safe driving experience. Data collection and...

A Smart Campus is a miniature of a Smart City with a more demanding framework that enables learning, social interaction and creativity. To ensure a Smart Campus uninterruptible secure operation, a key requirement is that daily routines and activities are performed protected in an environment monitored unobtrusively by a robust surveillance system....

The Internet of Things (IoT) paradigm plays a vital role for improving smart city applications by tracking and managing city processes in real-time. One of the most significant issues associated with smart city applications is solid waste management, which has a negative impact on our society’s health and the environment. The traditional waste mana...

Municipal Solid Waste Management (MSWM) remains as a major problem in urban areas, leading to serious health and environmental issues. Consequently, trash bins are placed in many places to handle municipal solid waste. These bins can overflow, spreading around the area, polluting the environment and causing inconvenience to the public. Therefore, t...

Real-world data streams pose a unique challenge to the implementation of machine learning (ML) models and data analysis. A notable problem that has been introduced by the growth of Internet of Things (IoT) deployments across the smart city ecosystem is that the statistical properties of data streams can change over time, resulting in poor predictio...

Smart Cities (or Cities 2.0) are an evolution in citizen habitation. In such cities, transport commuting is changing rapidly with the proliferation of contemporary vehicular technology. New models of vehicle ride sharing systems are changing the way citizens commute in their daily movement schedule. The use of a private vehicle per single passenger...

Smart Cities cater for ever increasing population, which needs sustainable solutions for efficient wellbeing. Waste collection is significant for providing a green ecosystem in such cities. IoT-enabled waste collection solutions assist such a green ecosystem. Waste collection used to be performed by humans or via human intervention.However, contemp...

The performance measurement of a great variety of enterprises is a highly complicated issue, especially taking into account that performance has a great many aspects and many variables which may, at times, be highly inconsistent with each other. The use of analytics and advanced machine learning promotes the decision-making process for each and eve...

Improper disposal of solid waste that impacts human health and pollutes the environment, arising a need for successful and necessary collection of waste materials. However, most trash bins placed in cities can be seen overflowing due to traditional or inefficient waste management approaches. Therefore, a real-time remote monitoring system is needed...

Smart Cities is the future of human habitation, which is evangelized by the Internet of Things (IoT) technology. We study the municipality of Papagos, which is located in the Smart City of Athens, Greece. In Papagos is developed a technical infrastructure, which enable citizens to act as human sensors by exploiting their smart-phones to report malf...

Drops of rain like tears of blood coming from a dying heart. All the pictures of my life before my eyes, each of them has been reproduced. I see more clearly now, I can understand more deeply, I have become wiser. To have a dream not to have dreams at all is now a utopia. What you're experiencing in this life has been experienced earlier. What you...

Resource allocation of the availability of certain departments for dealing with emergency recovery is of high importance in municipalities. Efficient planning for facing possible disasters in the coverage area of a municipality provides reassurance for citizens. Citizens can assist with such malfunctions by acting as human sensors at the edge of an...

Parking in contemporary cities is a time- and fuel-consuming process. It affects daily stress levels of drivers and citizens. To design the future cities, parking process should be handled efficiently to improve drivers’ time comfort and fuel economy toward a green smart city (SC) ecosystem. In this paper, we propose to model smart parking (SP) wit...

Cloud computing hastens technology driven innovation by taking advantage of the speed, the cost-effectiveness, the efficiency and the security that such applications offer. By using cloud computing, public organizations can exploit the economies of scale and innovate both efficiency and rapidly. The present study focuses on the factors influencing...

Investigating the factors affecting students’ academic failure in online and/or blended courses by analyzing students’ learning behavior data gathered from Learning Management Systems (LMS) is a challenging area in intelligent learning analytics and education data mining area. It has been argued that the actual course design and the instructor’s in...

This paper presents an autonomous Unmanned Aerial Vehicle (UAV)-enabled control system to handle accident incidents occurred by physical disasters in Smart Cities (SCs). Specifically, after a physical disaster like an earthquake or a tsunami wave several areas in SC are damaged. In these areas citizens are trapped and most of the cases hurt thus no...

Purpose The purpose of this paper is to propose a distributed smartphone sensing-enabled system, which assumes an intelligent transport signaling (ITS) infrastructure that operates traffic lights in a smart city (SC). The system is able to handle priorities between groups of cyclists (crowd-cycling) and traffic when approaching traffic lights at ro...

Willingness to invest in renewable energy sources (RES) is predictable under data mining classification methods. Data was collected from the area of Evia in Greece via a questionnaire survey by using a sample of 360 respondents. The questions focused on the respondents’ perceptions and offered benefits for wind energy, solar photovoltaics (PVs), sm...

Everyday life of the elderly and impaired population living in smart homes is challenging because of possible accidents that may occur due to daily activities. In such activities, persons often lean over (to reach something) and, if they not cautious, are prone to falling. To identify fall incidents, which could stochastically cause serious injurie...

The deployment of a simple-link sensor network-based physiological signal remote monitoring system is presented in this chapter. The proposed system consists of a Wireless Portable Sensor Unit (WPSU), which is installed at the patient’s home and measures the physiological signals and sends these to the remote monitoring station (i.e., at a hospital...

We investigate the predictability of the next unlock event on smart-phones, using machine learning and smartphone contextual data. In a two-week field study with 27 participants, we demonstrate that it is possible to predict when the next unlock event will occur. Additionally, we show how our approach can improve accuracy and energy efficiency by s...

Nature–inspired optimization techniques play an essential role in the field of image processing. It reduces the noise and blurring of images and also improves the image enhancement, image restoration, image segmentation, image edge detections, image generation, image fusion, image pattern recognition, image thresholding and so on. Several optimizat...

Current technical advances enable Internet of Things (IoT) technology. Key features of IoT are 'smart things', which have computational capabilities. In this paper we focus on waste management using dynamic allocation of collection and transfer points to transport waste to processing facilities. Waste management involves a variety of tasks from col...

Internet of Things (IoT) technology enables the transformation of urban habitation towards Smart Cities. 70% of human habitation will live in Smart Cities by 2050. IoT is the backbone technology of Smart Cities enabling new services through certain structural parameters. One such parameter is the smart way of living which aims in providing all the...

With the diversity and variety of devices and interface modalities these devices offer, the choice of the right interface is still a significant research challenge. We propose a method of Context-driven Heterogeneous Interface Selection for Smart City Applications, which is based on context-driven and situation-aware modality selection mechanism. T...

Internet of Things (IoT) enables Smart Cities (SC) with novel services for the citizens’ well-being. A Smart Parking (SP) system is an important part of the SC infrastructure, which enables the efficient handling of the demanding SC traffic congestion conditions. Such a system also protects the urban environment towards a green ecosystem. In this p...

A large number of companies, organizations and other entities collect and elaborate personal data from people, which are frequently published for research or other promotional purposes. This paper deals with the effective anonymization, in applications that store data in relational databases. The optimum choice of a privacy model along with its app...

The concept of City 2.0 or smart city is offering new opportunities for handling waste management practices. The existing studies have started addressing waste management problems in smart cities mainly by focusing on the design of new sensor-based Internet of Things (IoT) technologies, and optimizing the routes for waste collection trucks with the...

Earth population is moving towards urban areas forming Smart Cities (SC). Waste management is a component of SCs. We consider a SC which contains a distribution of waste bins and a distribution of waste trucks located in the SC sectors. Bins and trucks are enabled with IoT sensors and actuators. Prior approaches focus mainly on the dynamic scheduli...

IoT services hosted by low-power devices rely on the cloud infrastructure to propagate their ubiquitous presence over the Internet. A critical challenge for IoT systems is to ensure continuous provisioning of IoT services by overcoming network breakdowns, hardware failures, and energy constraints. To overcome these issues, we propose a cloud-based...

Smartphone sensing enables efficient Time-of-Arrival (ToA) estimation of moving cyclists towards traffic lights in a Smart City. GPS sensors locate the actual position of cyclists on their way to traffic lights. Since the constant use of GPS sensors drain the battery of the smartphones there is a need of efficient energy consumption techniques. In...

The Internet of Things (IoT) enables Smart Cities with novel services. Such services demand low power, high throughput and low-cost sensor data collection technologies. The number of devices, their variety, the breadth of their distribution, and the number of standards are continuously increasing. In this paper, we explore and critically analyze em...

Using knowledge-based and semantic technologies in IoT is a very active research and promising area. This paper proposes a method of ontology-based context-driven knowledge representation for IoT-enabled hard waste management as part of a wider international project that aims at building IoT ecosystems for smart cities. The paper presents the devel...

This paper investigates the precision of rapid clock synchronisation for ubiquitous sensing services which consist of multiple smartphones. Specifically, we consider scenarios where multiple smartphones are used to sense physical phenomena, and subsequently the sensor data from multiple distributed devices is aggregated. We observe that the accumul...

We present an energy-efficient method for Indoor/Outdoor detection on smartphones. The creation of an accurate environmental exposure detection method enables crucial advances to a number of health sciences, which seek to model patients’ environmental exposure. In a field trial, we collected data from multiple smartphone sensors, along with explici...

The new era of Web and Internet of Things (IoT) paradigm is being enabled by the proliferation of various devices like RFIDs, sensors, and actuators. mart devices (devices having significant computational capabilities, transforming them to ‘smart things’) are embedded in the environment to monitor and collect ambient information. In a city, this le...

Substantial ongoing research now uses smartphones as a research platform for various studies and interventions. With the aging population becoming a frequent focus of research, an increasing number of studies and projects attempt to develop technological interventions for the elderly population. The extent to which the elderly population (i.e., sen...

While Decision Support Systems (DSS) have a long history, their usefulness for non-experts outside specific organisations has not lived up to the promise. A key reason for this is the high cost associated with populating the underlying knowledge bases. In this article, we describe how DSSs can leverage crowds and their wisdom in constructing knowle...

Researchers who analyse smartphone usage logs often make the assumption that users who lock and unlock their phone for brief periods of time (e.g., less than a minute) are continuing the same " session " of interaction. However, this assumption is not empirically validated, and in fact different studies apply different arbitrary thresholds in their...

Cycling in smart cities can be safer if enhanced with a smart traffic lights infrastructure. A distributed smartphone-based sensing approach is a cost-effective infrastructure to enable cyclist-aware traffic lights system. In this article, we treat cyclist movement on a trajectory with a Boundary model able to reduce GPS sensor power consumption, w...

In this paper we present a situated crowdsourcing market named Bazaar. Our platform enables researchers to deploy crowdsourcing tasks on simple crowdsourcing kiosks, which can then be placed in different locations. We describe the different components that compose Bazaar, discuss a successful deployment using the platform and reflect on possible fu...

The whole research of the current Master Thesis project is related to Big Data transfer over Parallel Data Link and my main objective is to assist the Saint-Petersburg National Research University ITMO research team to accomplish this project and apply Green IT methods for the data transfer system. The goal of the team is to transfer Big Data by us...

Waste Management (WM) represents an important part of Smart Cities (SCs) with significant impact on modern societies. WM involves a set of processes ranging from waste collection to the recycling of the collected materials. The proliferation of sensors and actuators enable the new era of Internet of Things (IoT) that can be adopted in SCs and help...

The research is related to Big Data transfer over Parallel Data Link, and the main objective is to assist the Saint-Petersburg National Research University ITMO research team and to apply Green IT methods for the data transfer system. The goal of the team is to transfer Big Data by using parallel data links with SDN Openflow approach. This project...

Internet of Things (IoT) enables Smart Cities with novel services. Waste collection in Smart Cities becomes a dynamic process with the proliferation of sensors and actuators embedded on real waste bins. Heterogeneous fleets of trucks are used for efficient waste collection exploiting the diverse road network. In this paper we propose a novel approa...

With proliferation of the Internet of Things, annotation and generation of metadata describing data streams produced by sensors becomes even more urgent and important. This article proposes a method of annotating data streams with voice and extracting semantics from data. The strengths and weaknesses of existing voice recognition systems are discus...

Intelligent Transportation Systems (ITS) enable new services within Smart Cities. Efficient Waste Collection (WC) is considered a fundamental service for Smart Cities. Internet of Things (IoT) can be applied both in ITS and Smart cities forming an advanced platform for novel applications. Surveillance systems can be used as an as-sistive technology...