The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, we present and implement a low-cost yet effective architecture that enables dynamic spectrum access (DSA) for any type of network. Our intention is to break the cost-scalability barrier and show that a complete system level solution for a database-assisted DSA system can be implemented with standard servers and inexpensive software configurable RF chips, thereby achieving economics...
Crowdsensing applications rely on volunteers to collect sensor readings using their mobile devices. Since the collected sensor readings are annotated with spatiotemporal information, the volunteers' privacy may be endangered. Existing privacy-preserving solutions often disclose the volunteers' location information to either a central third party or their peers. As a result, the volunteers need to...
Natural disasters (e.g. earthquake, tsunami, and eruption) are unavoidable casualties in the history of human being. In many incidents, people die due to lack of data such as the status of evacuation routes, pedestrians' traffic in the impacted area and real-time alert systems. Employing Unmanned Aerial Vehicles (UAVs) in this field of research is so beneficial for multiple reasons. For instance,...
Continuous (24/7) smartphone sensing applications are on the rise, especially in the field of health and wellness, e.g., to monitor physical activity, to quickly detect emergencies (e.g., falls), and to provide various context-specific services and tools. Smartphones are able to monitor a large array of human activities and patterns, including a user's mobility, physical activities, social interactions,...
The ubiquity of sensors-equipped mobile devices has enabled citizens to contribute data via participatory sensing systems. This emergent paradigm comes with various applications to improve users' quality of life. However, the data collection process may compromise the participants' privacy when reporting data tagged or correlated with their sensitive information. Therefore, anonymization and location...
On the Internet of the future, billions of physical objects will collect and exchange data that will be stored in the Cloud Computing. A bad storage structure of big data has a negative influence on the latency time during the client's requests. To solve this problem, we have proposed an Infrastructure as a Service (IaaS) for the input and the output of different files on servers' clusters. We have...
In this paper we present an exploratory smartphone usage study with logs collected from users in the wild, combined with the sociodemographic, technological and cultural information provided by them. We observe a high diversity among users' most used applications, but by classifying applications into services we find significant correlations between service usage and socio-demographic profile. We...
Parkinson's disease is a neurological disorder that affects about 1% of people over 60 years. The complexity of the disease difficult to carry out objective medical assessments of the level of tremors. This article presents a system which uses the accelerometer and gyroscope sensors in smartwatches to quantify the tremors in patients with Parkinson's disease. The system is based on a Wireless Body...
PDR (Pedestrian Dead Reckoning) is a very promising technology for indoor positioning. We held a technical challenge, entitled the UbiComp/ISWC 2015 PDR Challenge, consisting of the following three categories: a PDR algorithm category; a PDR Evaluation method category; and an exhibition. In this paper, we especially focus on several systems for the PDR algorithm category. A PDR skeleton was prepared...
The energy consumption in residential has been increased over the past years. Many researches to conserve electrical consumption have been presented. Providing residents with information on their energy consumption has become a feasible option to promote energy saving in residential sector. In this Paper, the electrical energy monitoring systems are designed based on a non-intrusive sensors, Bluetooth...
The Internet of Things (IoT) is an emerging technology that is considered by industry and academy as a global infrastructure for the information society in today's digital world. IoT is implemented now in several ecosystems to improve economic indicators and productivity of enterprises, and also to improve the quality of consumer's lives. Thus a development of new architectures and approaches for...
In this article, the most essential aims on information protection of data processing centers in more flexible way to provide the necessary level of security of the existing environment of development and dissemination of cyber-attacks, which should be easily scaled to support any of its changes in the future, also in this paper Formation of competitive information security of data processing center...
In this paper we have developed a Telemedicine model with portable tool kit for remote patients to collect vital signs of patients which are used for Telemedicine services. This developed system is low cost, portable, and easily maintainable and can be integrated with any complex health system. We have used the GNU health where local doctors can communicate with a low cost terminal. Expert doctors...
Although crowdsourcing can provide a large amount of information through mobile devices and mobile users, the information provided by them may be inaccurate. Various truth analysis techniques have been proposed to identify truth from the noisy data either in a heuristic manner or using statistical models. However, if the available data are limited or have large conflicts, it is difficult to identify...
Actitracker is a smartphone-based activity-monitoring service to help people ensure they receive sufficient activity to maintain proper health. This free service allowed people to set personal activity goals and monitor their progress toward these goals. Actitracker uses machine learning methods to recognize a user's activities. It initially employs a "universal" model generated from labeled...
The main focus of this paper is to present control and automation aspects of the remotely operated CRD100 seafloor drill. The CRD100 is a fourth generation, state-of-the-art robotic seafloor drill that is directly deployed onto the seabed. It is designed to drill, case, core, and collect geotechnical sampling data to a depth of 65m below the seabed at 3000m beneath the water surface. The system must...
Pollution tracking in urban environments can now be performed through a variety of means, both dynamic and stationary. We envision a pollution data acquisition system that can be made accessible to end users by including them in the collection process, not just presenting the results through web pages or applications. We propose a low-cost device, easily configurable by anyone, which measures gas...
Data acquisition systems are fundamental components of modern distributed monitoring and control systems. The wide-spreading use of standard networking technologies in industrial scenarios, such as Ethernet, and the consolidation of web-based communication protocols, architectures and tools suggest the possibility to integrate out-of-the-box components to build a robust and reliable data acquisition...
This study introduces a distributed virtual laboratory for a multiagent programming course which has been very satisfactorily adopted by students, with a success rate of nearly 80%. It also aims at capturing the daily activity of students, providing the basis for data-driven assessment. Finally, it also allows for using process mining technologies to unveil successful and failed behaviors of students...
Currently, cloud computing offers flexible, dynamic and cost effective computing outsourcing, but it limits these economic and operational benefits to non real-time and non safety-critical systems. This is because of the lack of alternative control, supported by current cloud infrastructures, in case of a broken cloud link. While steps have been taken in using cloud infrastructures for soft real-time...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.