Traffic oscillation, stop and go traffic, is created by different reasons such as: sudden speed drop of leader vehicle. Stop and go traffic commonly is observed in congested freeways results in traffic oscillation. Many theories had been presented to define congestion traffic based on laws of physics such as: thermodynamics and fluid. But, these theories could not explain the complexity of driv...

One of the most crucial and complicated phases of realtime system development lies in the transition from system behavior (generally specified using scenario models) to the behavior of interacting components (typically captured by means of communicating hierarchical finite state machines). It is commonly accepted that a systematic approach is required for this transition. In this paper, we over...

objective: over the last few decades, bangladesh has made significant progress towards achieving targets for the millennium development goals (mdgs) and women empowerment. this study is aimed at identifying the levels and patterns of women empowerment in relation to health seeking behavior in bangladesh. materials and methods: we conducted a cross-sectional study among 200 rural married women i...

The problem of learning behavior patterns from sensor data arises in many applications including smart environments, video surveillance, network analysis, human-robot interaction, and ambient assisted living. Our focus is on detecting behavior patterns that deviate from regular behaviors and might represent a security risk, health problem, or any other abnormal behavior contingency. In other wo...

It is considered whether anomaly detection techniques might be used to determine potentially malicious behavior by service providers. Data mining techniques can be used to derive patterns of repeating behavior from logs of past interactions between service consumers and providers. Consumers may use these patterns to detect anomalous provider behavior, while providers may seek to adapt their beh...

We propose Discovering Novel Anomalous Patterns (DAP), a new method for continual and automated discovery of anomalous patterns in general datasets. Currently, general methods for anomalous pattern detection attempt to identify data patterns that are unexpected as compared to “normal” system behavior. We propose a novel approach for discovering data patterns that are unexpected given a profile ...

Human capitals are part of a country’s wealth, and proper functioning of the society depends on the creativity of its elites and Human nature. Nowadays, managing the Elites and preventing their immigration has become one of the difficult issues faced by many organizations. In this research, a lot of effort has been put into finding out the typology of the behavior patterns of the elite using th...

-Behavior patterns in parks and plazas in downtown Syracuse, New York, are discussed. After an introduction of the spaces and their principal users, fundamental concepts borrowed from ecological psychology are defined. Then using these concepts, the behavioral significance of the environment is illustrated in a comparison of two case studies. The concepts employed here are shown to allow a disc...