Search results for "Phone"
showing 10 items of 692 documents
IncentMe: Effective Mechanism Design to Stimulate Crowdsensing Participants with Uncertain Mobility
2018
Mobile crowdsensing harnesses the sensing power of modern smartphones to collect and analyze data beyond the scale of what was previously possible with traditional sensor networks. Given the participatory nature of mobile crowdsensing, it is imperative to incentivize mobile users to provide sensing services in a timely and reliable manner. Most importantly, given sensed information is often valid for a limited period of time, the capability of smartphone users to execute sensing tasks largely depends on their mobility pattern, which is often uncertain. For this reason, in this paper, we propose IncentMe, a framework that solves this core issue by leveraging game-theoretical reverse auction …
Statistically validated mobile communication networks: the evolution of motifs in European and Chinese data
2014
Big data open up unprecedented opportunities to investigate complex systems including the society. In particular, communication data serve as major sources for computational social sciences but they have to be cleaned and filtered as they may contain spurious information due to recording errors as well as interactions, like commercial and marketing activities, not directly related to the social network. The network constructed from communication data can only be considered as a proxy for the network of social relationships. Here we apply a systematic method, based on multiple hypothesis testing, to statistically validate the links and then construct the corresponding Bonferroni network, gen…
A comparative analysis of the statistical properties of large mobile phone calling networks.
2014
Mobile phone calling is one of the most widely used communication methods in modern society. The records of calls among mobile phone users provide us a valuable proxy for the understanding of human communication patterns embedded in social networks. Mobile phone users call each other forming a directed calling network. If only reciprocal calls are considered, we obtain an undirected mutual calling network. The preferential communication behavior between two connected users can be statistically tested and it results in two Bonferroni networks with statistically validated edges. We perform a comparative analysis of the statistical properties of these four networks, which are constructed from …
Time Difference of Arrival Estimation from Frequency-Sliding Generalized Cross-Correlations Using Convolutional Neural Networks
2020
The interest in deep learning methods for solving traditional signal processing tasks has been steadily growing in the last years. Time delay estimation (TDE) in adverse scenarios is a challenging problem, where classical approaches based on generalized cross-correlations (GCCs) have been widely used for decades. Recently, the frequency-sliding GCC (FS-GCC) was proposed as a novel technique for TDE based on a sub-band analysis of the cross-power spectrum phase, providing a structured two-dimensional representation of the time delay information contained across different frequency bands. Inspired by deep-learning-based image denoising solutions, we propose in this paper the use of convolutio…
Colourimetric image analysis as a diagnostic tool in female genital schistosomiasis
2015
Female genital schistosomiasis (FGS) is a highly prevalent waterborne disease in some of the poorest areas of sub-Saharan Africa. Reliable and affordable diagnostics are unavailable. We explored colourimetric image analysis to identify the characteristic, yellow lesions caused by FGS. We found that the method may yield a sensitivity of 83% and a specificity of 73% in colposcopic images. The accuracy was also explored in images of simulated inferior quality, to assess the possibility of implementing such a method in simple, electronic devices. This represents the first step towards developing a safe and affordable aid in clinical diagnosis, allowing for a point-of-care approach.
“If you take away my phone, you take away my life...” Community Narratives about the Social Implications of Mobile phone Usage for Livelihood Security
2019
Smallholder farmers in developing regions like sub-Saharan Africa still grapple with development challenges like poverty, illiteracy, food insecurity, poor infrastructures like roads and limited access to learning opportunities. Moreover, amidst all these challenges, these possess mobile phones as they continuously engage in diverse livelihood activities. Echoed in previous research, mobile phones are the most diffused technologies available in many rural communities. Yet, most mobile technological interventions are urban-based projects neglecting rural locales in harnessing mobile phone usage. More so, mobile for development research uses quantitative methods which limits proper interrogat…
Projekts: uzņēmuma SIA "Mobile2Cash" dibināšana
2019
Maģistra darbā “Projekts: Uzņēmuma SIA “Mobile2Cash” dibināšana” ir izstrādāts biznesa plāns jauna specializēta mazumtirdzniecības uzņēmuma dibināšanai. Projekta “Uzņēmuma SIA “Mobile2Cash” dibināšana” mērķis ir veikt mobilo telefonu remontu, specializējoties tieši uz Apple iPhone telefoniem. Un kā nākotnes vīziju izvirzot izveidot mobilo telefonu automātu, kas automātiski iepirktu klientu nodotās ierīces un par to izsniedzot skaidru naudu nekavējoties. Pats projekts atradīsies Rīgā, Slokas ielā 107, autora dzīves vietā un, ja uzņēmuma darbība attīstīsies un finanses būs ar plus zīmi, tad ir plānots pārcelties uz netālu esošajiem lielveikaliem.
Good English Pronunciation Users and Their Pronunciation Learning Strategies
2015
The study investigates pronunciation learning strategies (PLS) deployed by those with good English pronunciation, as well as their beliefs concerning the variables that affect pronunciation competence. In order to collect data for analysis this study surveyed 61 participants who had learned English as a foreign language. They comprised 28 higher education teachers and scholars specialising in English phonetics and phonology, who were defined as good pronunciation users (GPU), and 33 EFL teacher training students, viewed as average pronunciation learners (APL). This cohort responded to a survey on pronunciation learning strategies and expressed their views on several aspects affecting the L2…
Social Network Analysis of Sicilian Mafia Interconnections
2019
In this paper, we focus on the study of Sicilian Mafia organizations through Social Network Analysis. We analyse datasets reflecting two different Mafia Families, based on examinations of digital trails and judicial documents, respectively. The first dataset includes the phone calls logs among suspected individuals. The second one is based on police traces of meeting that have taken place among different types of criminals. Our breakthrough is twofold. First in the method followed to generate these new datasets. Second, in the method used to carry out a quantitative phenomena investigation that are hard to evaluate. Our networks are weighted ones, with each weight catching the frequency of …
Foreign Language Learners’ Pronunciation Learning Beliefs and Strategies
2021
This quantitative research investigates the extent to which adult L2 learners act in line with what they declare to believe in regarding pronunciation learning. In other words, this paper focuses on determining the strength of the relationship between the frequency of use of L2 pronunciation learning strategies (PLS) and the beliefs the individuals hold on selected factors affecting pronunciation acquisition, pronunciation instruction, self-efficacy, pronunciation learning goals and affective factors in pronunciation learning. A group of 116 learners of English as a foreign language who took an English phonetics course responded to the Pronunciation Learning Strategies Inventory (PLSI) and …