Proximity Graphs for Crowd Movement Sensors

Sensors are now common, they span over different applications, different purposes and some over large geospatial areas. Most data produced by these sensors needs to be linked to the physical location of the sensor itself. By using the location of a sensor we can construct (mathematically) proximity graphs that have the sensors as nodes. These graphs have a wide variety of applications including visualization, packet routing, and spatial data analysis. We consider a sensor network that measures detections of WiFi packets transmitted by devices, such as smartphones. One important feature of sensors is given by the range in which they can gather data. Algorithms that build proximity graphs do not take this radius into account. We present an approach to building proximity graph that takes sensor position and radius as input. Our goal is to construct a graph that contains edges between pairs of sensors that are correlated to crowd movements, reflecting paths that individuals are likely to take. Because we are considering crowd movement, it gives us the unique opportunity to construct graphs that show the connections between sensors using consecutive detections of the same device. We show that our approach is better than ones that are based on the positioning of sensors only

Filters for Wi-Fi Generated Crowd Movement Data

Cities represent large groups of people that share a common infrastructure, common social groups and/or common interests. With the development of new technologies current cities aim to become what is known as smart cities, in which all the small details of these large constructs are controlled to better improve the quality of life of its inhabitants. One of the important gears that powers a city is given by traffic, be it vehicular or pedestrian. As such traffic is closely related to all other activities that take place inside of a city. Understanding traffic is still a difficult process as we have to be able to not only measure it in the sense of how many people are using a particular path but also in analyzing where people are going and when, while still maintaining individual privacy. And all this has to be done at a scale that would cover most if not all individuals in a city. With the high increase in smartphones adoption we can reliably assume that a large part of the population in cities are carrying with them, at all times, at least one Wi-Fi enabled device. Because Wi-Fi devices are regularly transmitting signals we can rely on these devices to detect individual's movements unobtrusively without identifying or tracking any particular individual. Special sensors that monitor Wi-Fi frequencies can be placed around a city to gather data that can later be used to identify patterns in the traffic flows. We present a set of filters that can be used to minimize the amount of data needed for processing and without negatively impacting the result or the information that can be extracted from this data. Part of the filters we present can be deployed at the sensor level, making the entire system more scalable, while a different part can be executed before data processing thus enabling real time information extraction and a broader temporal and spatial range for data analysis. Some of these filters are particular to Wi-Fi but some of them can be applied to any detection system

El arrendamiento de viviendas de uso turístico.

La regulación del arrendamiento de viviendas particulares para un uso vacacional o turístico en el entramado jurídico español.<br /

Encountering the Victims of Romanian Communism: Young People and Empathy in a Memorial Museum

Many states in post-communist East-Central Europe have established memorial museums which aim to tell the story of suffering under the communist regime. They also seek to encourage visitors to develop empathy for the victims of communist repression.This paper explores the responses of a group of young people to a memorial museum in Romania (Sighet Memorial Museum), focusing on how these visitors experienced empathy for the victims of communist-era violence. Data were collected using focus groups. Most participants showed a degree of empa- thy for the victims of suffering but this was usually shallow in nature. However some visitors displayed more“active” empathy (characterized by deeper imaginative and cogni- tive engagement). The paper explores how both the design and environment of the museum and the back- ground experiences of visitors influenced the develop- ment of empathy. It argues that empathy is not an automatic response to suffering and instead can be con- sidered as an interaction between the design of the museum and the background knowledge of visitors. The paper argues that empathy is an important means for young people to participate in remembering the commu- nist period, and is a means to make“prosthetic”memories of an authoritarian past which they have not experienced first-hand

Education and post-communist transitional justice: negotiating the communist past in a memorial museum

This paper examines the role of education within post-communist transitional justice. It focuses on the ways in which young Romanians negotiate the communist past during an educational visit to a memorial museum. The museum enabled these visitors to better understand the repression of the communist era, had limited impact in changing their attitudes towards communism, but it did provoke reflection upon and comparison between the present and the communist past. Visitors recognized the role of the museum as a site of memory within post-communist transitional justice, but were also critically aware of the limitations to what the museum could achieve. The implications of these findings for postcommunist transitional justice are examined

Analizar los motivos de la acusación particular para recurrir en apelación por un delito de lesiones cualificadas con pérdida de un órgano principal.

Analizar los motivos para recurrir en apelación, ante el Tribunal Superior de Justicia de Aragón, desde la perspectiva de la acusación particular, por un delito de lesiones cualificadas con pérdida de un órgano principal.<br /