Search results for "Bile"
showing 10 items of 2148 documents
A continuous-space analytical approach for relay node placement in hybrid cellular and ad hoc networks
2009
A hybrid network is composed of a cellular component and an ad hoc component connected by a relay node, for the purpose of coverage extension and/or capacity improvement. In this paper, we analyze the capacity of such a hybrid network by employing a continuous-space analytical methodology based on circular geometry for uniformly distributed nodes. To achieve maximal overall capacity, the relay node needs to be placed in an optimum location between the base station and the mobile station located at the boundary of the hybrid network. Numerical results show that for obtaining the optimum overall capacity for the hybrid network, the placement of the relay node should be in a range which is nei…
Mobile phone based laser speckle contrast imager for assessment of skin blood flow
2014
Assessment of skin blood flow is of interest for evaluation of skin viability as well as for reflection of the overall condition of the circulatory system. Laser Doppler perfusion imaging (LDPI) and laser speckle contrast imaging (LASCI) are optical techniques used for assessment of skin perfusion. However, these systems are still too expensive and bulky to be widely available. Implementation of such techniques as connection kits for mobile phones have a potential for primary diagnostics. In this work we demonstrate simple and low cost LASCI connection kit for mobile phone and its comparison to laser Doppler perfusion imager. Post-occlusive hyperemia and local thermal hyperemia tests are us…
Learning Research Methods and Processes via Sharing Experience in a BLOG
2006
The goal is to increase knowledge about different research methods that have been employed in the information technology field by supporting the information exchange, collaboration, and cooperation between researchers. Well-designed, well-told stories can help others learn from past situations to respond more effectively in future situation. A blog is presented where PhD students and researchers are invited to collaborate by providing their stories, reading and commenting existing stories. This infrastructure allows researchers and PhD students to write the contents posing questions and finding answers on the relationship between research process and research results.
Dynamic Flow-Adaptive Spectrum Leasing with Channel Aggregation in Cognitive Radio Networks.
2020
Cognitive radio networks (CRNs), which allow secondary users (SUs) to dynamically access a network without affecting the primary users (PUs), have been widely regarded as an effective approach to mitigate the shortage of spectrum resources and the inefficiency of spectrum utilization. However, the SUs suffer from frequent spectrum handoffs and transmission limitations. In this paper, considering the quality of service (QoS) requirements of PUs and SUs, we propose a novel dynamic flow-adaptive spectrum leasing with channel aggregation. Specifically, we design an adaptive leasing algorithm, which adaptively adjusts the portion of leased channels based on the number of ongoing and buffered PU …
State Space-Vector Model of Linear Induction Motors Including End-effects and Iron Losses - Part II: Model Identification and Results
2020
This is the second part of an article, divided into two parts, dealing with the definition of a space-vector dynamic model of the linear induction motor (LIM) taking into consideration both the dynamic end-effects and the iron losses as well as the offline identification of its parameters. This second part is devoted to the description of an identification technique that has been suitably developed for the estimation of the electrical parameters of the LIM dynamic model accounting for both the dynamic end-effects and iron losses. Such an identification technique is strictly related to the state formulation of the proposed model and exploits genetic algorithms for minimizing a suitable cost …
Evaluation of Ensemble Machine Learning Methods in Mobile Threat Detection
2017
The rapid growing trend of mobile devices continues to soar causing massive increase in cyber security threats. Most pervasive threats include ransom-ware, banking malware, premium SMS fraud. The solitary hackers use tailored techniques to avoid detection by the traditional antivirus. The emerging need is to detect these threats by any flow-based network solution. Therefore, we propose and evaluate a network based model which uses ensemble Machine Learning (ML) methods in order to identify the mobile threats, by analyzing the network flows of the malware communication. The ensemble ML methods not only protect over-fitting of the model but also cope with the issues related to the changing be…
iOS Applications Testing
2015
<p class="R-AbstractKeywords"><span lang="EN-US">Mobile applications conquer the world, but iOS devices hold the major share of tablets market among the corporate workers. This study aims to identify the aspects (i.e. features and/ or limitations) that influence the testing of the native iOS applications. The aspects related to general mobile applications testing are identified through the systematic literature review of academic sources. iOS applications testing aspects are identified through the review of non-academic (multivocal) literature sources. The identified aspects are merged and discussed in detail using the reviewed sources and based on the author’s professional expe…
Revenue models, in-app purchase, and the app performance: Evidence from Apple's App Store and Google Play
2016
The effect of revenue models on app performance depends on the app store.The effect of in-app purchase on app performance depends on the app store.Paid, freemium and in-purchase models are shown to be effective in app store.Freemium and in-app purchase models are shown to be less effective in Google Play.App category influences the effects of both revenue models and in-app purchase. In this paper, we empirically examine how the revenue model (paid, free, or freemium) adopted for a given app affects the app revenue performance as measured by the app daily revenue rank. We also study the impact of in-app purchase on this measure of performance. Moreover, we study how such relationships are co…
Performing transnational family with the affordances of mobile apps : a case study of Polish mothers living in Finland
2020
Affordances provided by digital technologies and mobile apps (WhatsApp, Skype, Messenger) help in maintaining familyhood. These mobile apps enable the creation of in-app family groups. They also afford image sharing, which is used for phatic purposes. Digital connectivity provides the illusions of togetherness and belonging, and allows for performing family in a transnational context (emotional transnationalism). However, it also generates the feelings of guilt through infrequent communication. In the auto-driven visual elicitation interviews, the study looks at family constellations and technologically mediated communication from the perspective of five Polish mothers living in Finland. Ap…
La comunità degli altri. Ciò che non può dirsi nostro e che tuttavia ci appartiene
2014
Starting with some Alain Badiou's political reflexions, the author describes the status questionis of community referring to Platos'fundamental thesis in The Republic. For Badiou in his dialogue whith Nancy, Lacoue-Labarthe, Agamben, Blanchot, the relationship between imposibility and community is essential. The present essays is focused on such a relationship trough blending together Nancy's "singular plural being" and the condition of the philosopher in Plato's The Republic.