Impact of the spatial context on human communication activity

Technology development produces terabytes of data generated by hu- man activity in space and time. This enormous amount of data often called big data becomes crucial for delivering new insights to decision makers. It contains behavioral information on different types of human activity influenced by many external factors such as geographic infor- mation and weather forecast. Early recognition and prediction of those human behaviors are of great importance in many societal applications like health-care, risk management and urban planning, etc. In this pa- per, we investigate relevant geographical areas based on their categories of human activities (i.e., working and shopping) which identified from ge- ographic information (i.e., Openstreetmap). We use spectral clustering followed by k-means clustering algorithm based on TF/IDF cosine simi- larity metric. We evaluate the quality of those observed clusters with the use of silhouette coefficients which are estimated based on the similari- ties of the mobile communication activity temporal patterns. The area clusters are further used to explain typical or exceptional communication activities. We demonstrate the study using a real dataset containing 1 million Call Detailed Records. This type of analysis and its application are important for analyzing the dependency of human behaviors from the external factors and hidden relationships and unknown correlations and other useful information that can support decision-making.Comment: 12 pages, 11 figure

My Nature Land

A poem by Dashdorj Natsagdorj on his love and passion for his native land: Mongolia

Post-Communist Transition and Common Ground: A Mongolian Perspective

No abstract available. DOI: http://dx.doi.org/10.5564/mjia.v0i10.119 The Mongolian Journal of International Affairs; Number 10, 2003, Pages 60-7

Characterization of behavioral patterns exploiting description of geographical areas

Abstract The enormous amount of recently available mobile phone data is providing unprecedented direct measurements of human behavior. Early recognition and prediction of behavioral patterns are of great importance in many societal applications like urban planning, transportation optimization, and health-care. Understanding the relationships between human behaviors and location's context is an emerging interest for understanding human-environmental dynamics. Growing availability of Web 2.0, i.e. the increasing amount of websites with mainly user created content and social platforms opens up an opportunity to study such location's contexts. This paper investigates relationships existing between human behavior and location context, by analyzing log mobile phone data records. First an advanced approach to categorize areas in a city based on the presence and distribution of categories of human activity (e.g., eating, working, and shopping) found across the areas, is proposed. The proposed classification is then evaluated through its comparison with the patterns of temporal variation of mobile phone activity and applying machine learning techniques to predict a timeline type of communication activity in a given location based on the knowledge of the obtained category vs. land-use type of the locations areas. The proposed classification turns out to 1 arXiv:1510.02995v1 [cs.SI] 11 Oct 2015 be more consistent with the temporal variation of human communication activity, being a better predictor for those compared to the official land use classification

Tidal characteristics and a numerical model for the m2 tide at the Estuarine Complex of the Bay of Paranaguá, Paraná, Brazil

The tides at the estuarine complex of the Bay of Paranaguá (ECBP) were investigated using stochastic analysis and numerical modelling. Sea level records from six tidal locations were analysed using harmonic analysis, and showed that M2 is the dominant tide. A numerical model was implemented based on the dominance of the M2 component. The model uses finite differences to represent the hydrodynamic equations, with an explicit resolution scheme and non-slip contour conditions. The tidal regime is semidiurnal with pronounced diurnal inequalities. The overtides, the even, and the shallow water constituents are important, indicating strong non-linear interactions, which allow the formation of up to six high and low tides per day during neap cycles. This higher frequency oscillation is ascribed to double high and double low water effects. Tidal ranges increase from the mouth to the end of the complex, by 160%. Tidal phases and ranges indicate that the tidal wave propagates in a mixed form. The model confirms the mixed tidal wave regime.As marés no Complexo Estuarino da Baía de Paranaguá são estudadas com o uso de um modelo estocástico de análise e da modelagem numérica. Registros das alturas do nível do mar em seis diferentes estações maregráficas foram analisadas pelo método harmônico, resultando num conjunto completo das componentes de maré para a área. Usando os valores da componente M2, foi aplicado um modelo numérico bidimensional. O modelo usa o esquema de diferenças finitas para a representação das equações hidrodinâmicas, esquema explícito de resolução e condição de contorno não deslizante. Os resultados finais mostram uma descrição da dinâmica da componente M2 para a região, incluindo o regime de correntes de marés. A partir do conjunto das componentes de maré é possível confirmar que o regime é principalmente semidiumo com desigualdades diurnas. As sobremarés, as componentes de maré de ordem par e as componentes de pequeno fundo são importantes, indicando a importância das interações não lineares, que provocam a formação de até seis preamares e baixa-mares por dia em períodos de quadratura. Estas oscilações de mais alta freqüência são conhecidas como duplas preamares e baixa-mares. A amplitude da maré aumenta da boca para montante do complexo, sendo amplificada quase duas vezes. As fases e amplitudes das marés indicam um regime misto para a propagação da onda de maré. O principal resultado do modelo foi confirmar numericamente o regime misto de propagação da onda de maré

Recombination Lifetimes Using the RCPCD Technique: Comparison with Other Methods

The theory and operation of the resonance-coupled photoconductive decay (RCPCD) technique is described. Examples are presented of data measured on a wide variety of sample types. The RCPCD technique has been applied to a variety of wafer and thin-film materials. Using this technique, we can measure recombination lifetime over at least three decades of injection level. We can also measure relative values of minority-carrier mobility and diffusion length. By scanning the excitation wavelength, we can measure spectral response and photoconductive excitation spectra. Deep-level impurities have been detected by several variations of RCPCD

Search for Intrinsic Excitations in 152Sm

The 685 keV excitation energy of the first excited 0+ state in 152Sm makes it an attractive candidate to explore expected two-phonon excitations at low energy. Multiple-step Coulomb excitation and inelastic neutron scattering studies of 152Sm are used to probe the E2 collectivity of excited 0+ states in this "soft" nucleus and the results are compared with model predictions. No candidates for two-phonon K=0+ quadrupole vibrational states are found. A 2+, K=2 state with strong E2 decay to the first excited K=0+ band and a probable 3+ band member are established.Comment: 4 pages, 6 figures, accepted for publication as a Rapid Communication in Physical Review