The new era of Web and Internet Things (IoT) paradigm is being enabled by the proliferation various devices like RFIDs, sensors, actuators. Smart (devices having significant computational capabilities, transforming them to `smart things') are embedded in environment monitor collect ambient information. In a city, this leads City frameworks. Intelligent services could be offered on top such information related any aspect humans' activities. A typical example framework Cities IoT-enabled waste...

The Internet of Things (IoT) paradigm plays a vital role for improving smart city applications by tracking and managing processes in real-time. One the most significant issues associated with is solid waste management, which has negative impact on our society’s health environment. traditional management process begins created residents disposed garbage bins at source. Municipal department trucks collect move it to recycling centers fixed schedule. Municipalities companies fail keep up...

Substantial ongoing research now uses smartphones as a platform for various studies and interventions. With the aging population becoming frequent focus of research, an increasing number projects attempt to develop technological interventions elderly population. The extent which (i.e., seniors) adopts is not clear. Many acknowledge that today's seniors are particularly keen on using smartphones, but in near future we can expect this trend change.

Smart Cities are being designed and built for comfortable human habitation. Among services that will offer is the environmentally-friendly waste/garbage collection processing. In this paper, we motivate propose an Internet of Things (IoT) enabled system architecture to achieve dynamic waste delivery processing plants or special garbage tips. past, was treated in a rather static manner using classical operations research approach. As proposed nowadays, with proliferation sensors actuators, as...

Real-world data streams pose a unique challenge to the implementation of machine learning (ML) models and analysis. A notable problem that has been introduced by growth Internet Things (IoT) deployments across smart city ecosystem is statistical properties can change over time, resulting in poor prediction performance ineffective decisions. While concept drift detection methods aim patch this problem, emerging communication sensing technologies are generating massive amount data, requiring...

Smart Cities constitute the future of civil habitation. Internet Things (IoT) enable innovative services exploiting sensor data from sensors embedded in city. Waste collection is treated as a potential IoT service which exploits robustness and cost efficiency heterogeneous fleet. In this paper we propose dynamic routing algorithm robust copes when truck overloaded or damaged need replacement. We also incorporate system model assumes two kinds trucks for waste collection, Low Capacity Trucks...

Researchers who analyse smartphone usage logs often make the assumption that users lock and unlock their phone for brief periods of time (e.g., less than a minute) are continuing same "session" interaction. However, this is not empirically validated, in fact different studies apply arbitrary thresholds analysis. To validate assumption, we conducted field study where collected user-labelled activity data through ESM sensor logging. Our results indicate majority instances return to smartphone,...

Municipal solid waste management remains a major problem in urban areas, leading to serious health and environmental issues.Consequently, trash bins are placed many places handle the municipal waste, but these can overflow, spreading around area, polluting environment, causing inconvenience public. Therefore, there is need for real-time remote monitoring system that alerts level of garbage municipality or company. To manage efficiently, this article presents development validation...

Mobile context-aware applications experience a constantly changing environment with increased dynamicity. In order to work efficiently, the location of mobile users needs be predicted and properly exploited by applications. We propose spatial context model, which deals prediction users. Such model is used for classification users' trajectories through Machine Learning (ML) algorithms. Predicting treated supervised learning. evaluate our in terms accuracy w.r.t. specific parameters. The...

A Smart Campus is a miniature of City with more demanding framework that enables learning, social interaction and creativity. To ensure uninterruptible secure operation, key requirement daily routines activities are performed protected in an environment monitored unobtrusively by robust surveillance system. The various components compose such environment, buildings, labs, public spaces, smart lighting, parking, or even traffic lights, require us to focus on systems, recognize which detection...

Authentication of Protected Designation Origin (PDO) Kalamata olive oil is required to assess its quality in the marketplace compared with other varieties. Concretely, located southern Greece geographic county Messenia, which part region Peloponnese and famous for extra virgin produced from Koroneiki variety. Intuitively, PDO oil, established by Council regulation (EC) No 510/2006, owes special characteristics geographical environment, tree variety, human factor. However, authentication a...

Everyday life of the elderly and impaired population living in smart homes is challenging because 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 falling. To identify fall incidents, which could stochastically cause serious injuries or even death, we propose specific temporal inference models; namely, CM-I CM-II. These models can infer a incident based on classification methods by...

Mobile applications are required to operate in highly dynamic pervasive computing environments of nature and predict the location mobile users order act proactively. We focus on prediction propose a new model/framework. Our model is used for classification spatial trajectories through adoption Machine Learning (ML) techniques. Predicting treated as problem supervised learning. perform performance assessment our synthetic real-world data. monitor important metrics accuracy training sample size.

Willingness to invest in renewable energy sources (RES) is predictable under data mining classification methods. Data was collected from the area of Evia Greece via a questionnaire survey by using sample 360 respondents. The questions focused on respondents’ perceptions and offered benefits for wind energy, solar photovoltaics (PVs), small hydro parks biomass investments. algorithms Bayesian Network classifier, Logistic Regression, Support Vector Machine (SVM), C4.5, k-Nearest Neighbors...

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 this is high cost associated with populating underlying knowledge bases. In article, we describe how DSSs can leverage crowds and wisdom in constructing bases overcome challenge. We also demonstrate construct on-the-fly using collected data. Our user-driven laboratory studies focus on user perceptions of concept itself,...

Cloud computing hastens technology driven innovation by taking advantage of the speed, cost-effectiveness, efficiency and security that such applications offer. By using cloud computing, public organizations can exploit economies scale innovate both rapidly. The present study focuses on factors influencing adoption a new technological application within procedures change management. It examines willingness to adopt for case administrative employees in higher education institute working...

Smart Cities (or 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 vehicle ride sharing systems way citizens commute their daily movement schedule. The use a private per single passenger transportation no longer viable sustainable (SC) because vehicles’ resource allocation and urban pollution. current research on car widely expanding range technologies, however, without...

The population of the Earth is moving towards urban areas forming smart cities (SCs). Waste management a component SCs. We consider SC which contains distribution waste bins and trucks located in sectors. Bins are enabled with Internet Things (IoT) sensors actuators. Prior approaches focus mainly on dynamic scheduling routing issues emerging from IoT-enabled management. However, less research has been done area stochastic reassignment process during four seasons year over period two years....