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.
Dental pulp stem cells (DPSCs) are stem cellspresent in the dental pulp and have same renewal anddifferentiating properties as bone marrow cells. Hence, DPSCs canbe used for future regenerative therapies of various diseases.Previous studies show that DPSCs would lose their differentiationcapability during long-term passage when they were cultured inmedium promoting differentiation. Researchers have...
Digital microfluidics biochips are an emerging technology that are increasingly being evaluated as a viable platform for rapid diagnosis and point-of-care field deployment. In such a technology, processing errors are inherent. Cyber-physical digital biochips offer higher reliability through the inclusion of automated error recovery mechanisms that can reconfigure the electrode array. The potential...
Cardiac Rehabilitation (CR) can significantly improve mortality and morbidity rates from Cardiovascular Diseases (CVD). Nevertheless, traditional CR is diminished by low subsequent adherence rates. Thus, in this paper, an e-Health technological module for human motion analysis and user modelling is proposed, in order to address the requirements of unsupervised, tele-rehabilitation systems for CVD,...
Crowdsourcing has emerged as a promising approach for obtaining services and data in a short time and at a reasonable budget. However, the quality of the output provided by the crowd is not guaranteed, and must be controlled. This quality control usually relies on worker screening or contribution reviewing at the cost of additional time and budget overheads. In this paper, we propose to reduce these...
Computation offloading is a key technique to enhance the performance and interactivity of mobile application through migrating the computation-intensive tasks to the cloud. However, efficient offloading is challenging in practice in that a mobile application often consists of computation tasks that have dependency with execution order constraints as well as parallel tasks that can be executed non-deterministically...
We propose a SNS Agency Robot that can be used for the interactive communication between elderly people and younger generation via existing Social Networking Service (SNS). This robot system has been implemented on a cloud service and a single board computer embedded in a human-type robot, which is equipped with a microphone, camera, speaker, sensors, and network access function, so that elderly people...
Computation offloading has received much attention to improve the performance or energy efficiency of mobile systems that have usually limited and constrained resource capacities. Yet, applying the computation offloading technique in opportunistic networks that are highly dynamic and often become volatile still remains a challenge due to the following reasons: (1) technical difficulties in constructing...
This article proposes a method to quantify the structure of a bipartite graph using a network entropy per link. Collective behavior of participants' quotes and trades in the foreign exchange market is quantified by applying the proposed method to high frequency data. The network entropy per link corresponded to the macroeconomic situation. A finite mixture of Gumbel distributions is used to fit the...
This paper proposes a novel ensemble method to improve the performance of binary classification. The proposed method is a non-linear combination of base models and an application of adaptive selection of the most suitable model for each data instance. Ensemble methods, an important type of machine learning technique, have drawn a lot of attention in both academic research and practical applications,...
With the emergence of smartphones and location-based social networks, a large amount of user-generated data has become available to better understand city dynamics and help urban planning. While most of the related works choose to focus on specific dimensions of the data, the proposed models aim to benefit from the extent of the information existing in social platforms. Thus, this paper explores the...
Similar to Virtualization, Linux Containers (LXC) provides high-performance, lightweight computing resource allocation and isolation. Each LXC container has a resource overhead smaller than that of a virtual machine, leading to significantly lower container migration time and making frequent container placement modification a viable optimization technique. Traditional container scheduling mechanisms...
Selecting the most interesting tourist attractions and planning optimal sightseeing tours can be a difficult task for individuals visiting unfamiliar tourist destinations. On the other hand, the massive amounts of tourists in big cities can collapse certain areas causing transport inefficiency, unbalanced economic growth and nuisance among tourists and citizens. Therefore, the tourist trip planning...
We consider the case of spreadsheet based workgroup collaboration, in which users cooperate through spreadsheets. While spreadsheet exchange through email and shared directories is still the most common way to share data, spreadsheet sharing in the Cloud is rapidly spreading, leveraging the evolution of office tools toward delocalized system over the Cloud. In this paper we observe that spreadsheet...
This paper aims to study the process of converting the depth information of a real scene captured in a real environment into a tactile representation through a haptic device. We developed a belt-shaped interface with a matrix of 35 (7x5) vibrotactile actuators attached to the users' abdomen. Tests demonstrated that the device can help users to perceive the movement of objects and people, as well as...
Harassment, based on photos available on social media and other electronic media, has become a major problem in developing countries where internet usage has emerged without adaptation to privacy, awareness etc. We have developed a software sensing layer on top of existing software that would exploit the social connections and use that information to make sure certain images are revealed or not across...
Smoking is one of the most challenging behavioral health problems. In the past, failed quit attempts have been attributed to factors including stress, presence of smoking cues, and negative affect – most of which were self-reported and prone to recall-bias. The first step in designing effective smoking cessation systems is to objectively identify factors that contribute to lapse. In our research,...
In [1], we present a lightweight online failure prediction approach, called Seer, to predict the manifestation of failures at runtime, i.e., while the system is running and before the failures occur, so that preventive and/or protective measures can proactively be taken to improve software reliability. One way Seer differs from the other related approaches is that it collects information from inside...
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.