Check-in processing : simulation of passengers with advanced traits

In order to tackle the growth of air travelers in airports worldwide, it is important to simulate and understand passenger flows to predict future capacity constraints and levels of service. We discuss the ability of agent-based models to understand complicated pedestrian movement in built environments. In this paper we propose advanced passenger traits to enable more detailed modelling of behaviors in terminal buildings, particularly in the departure hall around the check-in facilities. To demonstrate the concepts, we perform a series of passenger agent simulations in a virtual airport terminal. In doing so, we generate a spatial distribution of passengers within the departure hall to ancillary facilities such as cafes, information kiosks and phone booths as well as common check-in facilities, and observe the effects this has on passenger check-in and departure hall dwell times, and facility utilization.

Anchoring and exposing in the third place : regular identification at the boundaries of social realms

Harry’s is my favourite bar in my neighbourhood. It is a small wine bar, owned by three men in their late thirties and targeted at people like them; my gentrifying inner city neighbourhood’s 20 to 40 something urban middle class. Harry’s has seats along the bar, booths inside, and a courtyard out the back. The seating arrangements mean that larger groups tend to gather outside, groups of two to four spread around the location, and people by themselves, or in groups of two, tend to sit at the bar. I usually sit at the bar....

The 1990 AI Fair

This year, as the finale to the Artificial Intelligence Laboratory's annual Winter Olympics, the Lab staged an AI Fair ??night devoted to displaying the wide variety of talents and interests within the laboratory. The Fair provided an outlet for creativity and fun in a carnival-like atmosphere. Students organized events from robot boat races to face-recognition vision contests. Research groups came together to make posters and booths explaining their work. The robots rolled down out of the labs, networks were turned over to aerial combat computer games and walls were decorated with posters of zany ideas for the future. Everyone pitched in, and this photograph album is a pictorial account of the fun that night at the AI Fair.

The Perils of Moviegoing in America, 1896-1950

The Perils of Moviegoing in America is a film history that examines the various physical and (perceived) moral dangers facing audiences during the first fifty years of film exhibition.

Chapter 1: “Conflagration”
As early as 1897, a major fire broke out at a film exhibition in San Francisco, with flames burning the projectionist and nearby audience members. From that point until the widespread adoption of safety stock in 1950, fires were a very common movie-going experience. Hundreds of audience members lost their lives in literally thousands of theatre fires, ranging from early nickelodeons to the movie palaces of the thirties and forties.

Chapter 2: “Thieves Among Us”
Bandits robbed movie theatres on hundreds of occasions from the early days of film exhibition through the end of the Great Depression. They held up ticket booths, and they dynamited theatre safes. They also shot theatre managers, ushers, and audience members, as a great many of the robberies occurred while movies were playing on the screens inside.

Chapter 3: “Bombs Away”
Bombings at movie theatres became common in small towns and large cities on literally hundreds of occasions from 1914 to the start of World War II. Some were incendiary bombs, and some were stench bombs; both could be fatal, whether due to explosions or to the trampling of panicked moviegoers

Chapter 4: “It’s Catching”
Widespread movie-going in the early 20th century provoked an outcry from numerous doctors and optometrists who believed that viewing films could do irreparable harm to the vision of audience members. Medical publications (including the Journal of the American Medical Association) published major studies on this perceived problem, which then filtered into popular-audience magazines and newspapers.

Chapter 5: “The Devil’s Apothecary Shops”
Sitting in the dark with complete strangers proved worrisome for many early filmgoers, who had good reason to be concerned. Darkness meant that prostitutes could easily work in the balconies of some movie theatres, as could “mashers” who molested female patrons (and sometimes children) after the lights were dimmed. That was all in addition to the various murderers who used the cover of darkness to commit their crimes at movie theatres.

Chapter 6: “Blue Sundays”
Blue laws were those regulations that prohibited businesses from operating on Sundays. Most communities across the US had such legislation on their books, which by the nickelodeon era were at odds with the thousands of filmgoers who went to the movies every Sunday. Theatre managers were often arrested, making newspaper headlines over and over again. Police sometimes even arrested entire film audiences as accomplices in the Blue Law violations.

Chapter 7: “Something for Nothing”
In an effort to bolster ticket sales, many movie theatres in the 1910s began to hold lotteries in which lucky audience members won cash prizes; by the time of the Great Depression, lotteries like “Bank Night” became a common aspect of the theatre-going enterprise. However, reception studies have generally overlooked the intense (and sometimes coordinated) efforts by police, politicians, and preachers to end this practice, which they viewed as illegal and immoral gambling.

Managing Software Requirements Changes Based On Negotiation-Style Revision

For any proposed software project, when the software requirements specification has been established, requirements changes may result in not only a modification of the requirements specification but also a series of modifications of all existing artifacts during the development. Then it is necessary to provide effective and flexible requirements changes management. In this paper, we present an approach to managing requirements changes based on Booth’s negotiation-style framework for belief revision. Informally, we consider the current requirements specification as a belief set about the system-to-be. The request of requirements change is viewed as new information about the same system-to-be. Then the process of executing the requirements change is a process of revising beliefs about the system-to-be. We design a family of belief negotiation models appropriate for different processes of requirements revision, including the setting of the request of requirements change being fully accepted, the setting of the current requirements specification being fully preserved, and that of the current specification and the request of requirements change reaching a compromise. In particular, the prioritization of requirements plays an important role in reaching an agreement in each belief negotiation model designed in this paper.

Securing the human in critical security studies: the insecurity of a secure ethics

This article argues that Critical Security Studies (CSS), exemplified by Ken Booth’s Theory of World Security, has outlined an ethics of security as emancipation of the ‘human’, but also a highly problematic security of ethics. After drawing out how the ethics of CSS operates, we examine the security of this ethics by examining it against a hard case, that of the 199899 Kosovo crisis. Confronting this concrete situation, we draw out three possibilities for action used at the time to secure the human: ‘humanitarian containment’, military intervention and hospitality. Assessing each against Booth’s requirements for ethical security action, we counter that, in fact, no option was without risks, pitfalls and ambiguities. Ultimately, if any action to promote the security and the emancipation of the human is possible, it must embrace and prioritise the fundamental insecurity of ethics, or else find itself paralysed through a fear of making situations worse.

Estudo de soluções energéticas para a cabine de pintura automóvel

O processo de pintura de automóveis passa por várias fases que requerem grandes quantidades de energia térmica, uma vez que é necessário garantir uma temperatura mínima de aproximadamente 20ºC, na fase de aplicação, e de 60ºC, na fase de secagem. Pretende-se realizar uma auditoria energética a uma cabine de pintura automóvel, tendo em vista a optimização de todo o processo, desde a fase de aplicação até à fase de secagem. O objectivo principal deste trabalho consiste em encontrar alternativas energéticas ao usual gás propano que sejam economicamente viáveis. Assim, foram estudadas como alternativas as seguintes soluções: Opção 1 – Sistema solar térmico; Opção 2 - Sistema recuperação de calor (Extracção e Insuflação); Opção 3 – Sistema solar térmica mais recuperação de calor; Opção 4 – Sistema de recuperação de calor do compressor; Apresentadas a respectivas opções, realizaram-se então os estudos de viabilidade económica para cada solução.

Le processus de l'écoute en consultation publique

Depuis une trentaine d’années, les citoyens des démocraties libérales boudent les isoloirs, souvent dépités par le manque d’impact de leur geste sur leur environnement (Sandel, 2012; Putnam, 2000). Plutôt que d’abandonner la sphère publique, plusieurs d’entre eux ont choisi de l’investir autrement. C’est ainsi que le monde occidental a connu un essor certain de la participation publique. Contrairement au vote, le citoyen est ici invité à prendre la parole, mais aussi à écouter les opinions des autres participants. Il se retrouve donc investi d’un rôle bien plus complexe sans être nécessairement doté des outils lui permettant d’accomplir la mission. Cette étude se penche sur le processus de l’écoute en consultation publique et vise à en déplier les mécanismes. Il s’agit d’observer comment s’exprime l’écoute en consultation publique, en dressant une typologie des marqueurs d’écoute et des sollicitations à l’écoute pour en étudier le fonctionnement. L’étude révèle qu’une écoute attentive peut se transformer en une écoute plus engagée quand une négociation mesurée de l’écoute prend place. Pour cela, chacun des acteurs doit être conscient de lui-même mais aussi de l’autre, du rôle de l’autre et du but final de la consultation. L’écoute engagée privilégie le partage d’autorité et auteurité nécessaire à la co-construction d’un discours entre tous les acteurs, une écoute qui se matérialise par le rapport que la commission remet aux preneurs de décision. La légitimité de ce rapport dépend du travail en amont entre les acteurs et, entre autres, de leur capacité à s’écouter, au delà de la dimension discursive. Le type d’écoute mis en œuvre contribue à inférer une légitimité à la consultation publique.

Students at Work in the Welding Department

Several students are pictured in a classroom in the Welding Department at the New York Trade School. Some are shown emerging from welding booths at the right of the photograph. Black and white photograph.

Development of a low-cost mobile mapping system: A South American experience

This paper presents the prototype of a low-cost terrestrial mobile mapping system (MMS) composed of a van, two digital video cameras, two GPS receivers, a notebook computer, and a sound frame synchronisation system. The imaging sensors are mounted as a stereo video camera on top of the vehicle together with the GPS antennae. The GPS receivers and the notebook computer are configured to record data referred to the vehicle position at a planned time interval. This position is subsequently transferred to the road images. This set of equipment and methods provide the opportunity to merge distinct techniques to make topographic maps and also to build georeferenced road image databases. Both vector maps and raster image databases, when integrated appropriately, can give spatial researchers and engineers a new technique whose application may realise better planning and analysis related to the road environment. The experimental results proved that the MMS developed at the São Paulo State University is an effective approach to inspecting road pavements, to map road marks and traffic signs, electric power poles, telephone booths, drain pipes, and many other applications important to people's safety and welfare. A small number of wad images have already been captured by the prototype as a consequence of its application in distinct projects. An efficient organisation of those images and the prompt access to them justify the need for building a georeferenced image database. By expanding it, both at the hardware and software levels, it is possible for engineers to analyse the entire road environment on their office computers.

Result on speech perception after conversion from Spectra (R) to Freedom (R)

New technology in the Freedom (R) speech processor for cochlear implants was developed to improve how incoming acoustic sound is processed; this applies not only for new users, but also for previous generations of cochlear implants. Aim: To identify the contribution of this technology - the Nucleus 22 (R) - on speech perception tests in silence and in noise, and on audiometric thresholds. Methods: A cross-sectional cohort study was undertaken. Seventeen patients were selected. The last map based on the Spectra (R) was revised and optimized before starting the tests. Troubleshooting was used to identify malfunction. To identify the contribution of the Freedom (R) technology for the Nucleus22 (R), auditory thresholds and speech perception tests were performed in free field in soundproof booths. Recorded monosyllables and sentences in silence and in noise (SNR = 0dB) were presented at 60 dBSPL. The nonparametric Wilcoxon test for paired data was used to compare groups. Results: Freedom (R) applied for the Nucleus22 (R) showed a statistically significant difference in all speech perception tests and audiometric thresholds. Conclusion: The reedom (R) technology improved the performance of speech perception and audiometric thresholds of patients with Nucleus 22 (R).

Il linguaggio figurato e la cabina di simultanea: Il progetto IMITES(Interpretación de la Metáfora entre ITaliano y ESpañol)

Il progetto di dottorato IMITES (Interpretación de la Metáfora entre ITaliano y ESpañol) si pone come obiettivo quello di analizzare l’interpretazione simultanea del linguaggio figurato nelle combinazioni italiano-spagnolo e spagnolo-italiano. Prevede l’analisi di una serie di dati estratti da discorsi pronunciati in italiano e spagnolo in occasione di conferenze tenutesi presso la Commissione europea, e le loro versioni interpretate in spagnolo e italiano rispettivamente. Le espressioni figurate contenute nei discorsi originali sono state allineate e messe a confronto con le versioni fornite dagli interpreti, con il duplice obiettivo di a) capire quali causano maggiori problemi agli interpreti e b) analizzare le strategie di interpretazione applicate da professionisti quali quelli della Direzione Generale Interpretazione (DG SCIC) della Commissione europea nell’interpretare metafore. Il progetto prevede anche la somministrazione di un questionario agli interpreti delle cabine spagnola e italiana del DG SCIC, con l’obiettivo di sondare la loro percezione delle difficoltà che sottendono all’interpretazione del linguaggio figurato, le indicazioni metodologiche ricevute (se del caso) dai loro docenti a tale riguardo e le strategie applicate nella pratica professionale. Infine, l’ultima fase del progetto di ricerca prevede la sperimentazione di una proposta didattica attraverso uno studio caso-controllo svolto su studenti del secondo anno della Laurea Magistrale in Interpretazione delle Scuole Interpreti di Forlì e Trieste. Il gruppo-caso ha ricevuto una formazione specifica sull'interpretazione delle metafore, mentre gruppo-controllo è stato monitorato nella sua evoluzione. L’obiettivo di questa ultima fase di ricerca è quello di valutare, da una parte, l’ “insegnabilità” di strategia per affrontare il linguaggio figurato in interpretazione simultanea, e, dall’altra, l’efficacia dell’unità didattica proposta, sviluppata in base all’analisi svolta su IMITES.

The First Universal Suffrage Election, at County (Gewog) Level, in Bhutan

Following a Royal Edict to adopt universal suffrage in election for local government institutions, maiden elections were held in 199 gewogs (counties) in Bhutan in 2002 to elect their chief executives. This paper gives an account of this first time event in a country where most villagers had never seen secret ballots and poll booths. It synthesizes detailed data, mostly qualitative, collected soon after the election was over, and assesses aspects of electoral participation that His Majesty the King of Bhutan has introduced steadily to deepen democracy. Beginning with a glance at the territorial organization of the Bhutanese state within which the counties are embedded, the paper compares the electoral results with the relevant election rules.

Aplicación de técnicas de inteligencia artificial a la predicción de contaminantes atmosféricos

Abstract Air pollution is a big threat and a phenomenon that has a specific impact on human health, in addition, changes that occur in the chemical composition of the atmosphere can change the weather and cause acid rain or ozone destruction. Those are phenomena of global importance. The World Health Organization (WHO) considerates air pollution as one of the most important global priorities. Salamanca, Gto., Mexico has been ranked as one of the most polluted cities in this country. The industry of the area led to a major economic development and rapid population growth in the second half of the twentieth century. The impact in the air quality is important and significant efforts have been made to measure the concentrations of pollutants. The main pollution sources are locally based plants in the chemical and power generation sectors. The registered concerning pollutants are Sulphur Dioxide (SO2) and particles on the order of ∼10 micrometers or less (PM10). The prediction in the concentration of those pollutants can be a powerful tool in order to take preventive measures such as the reduction of emissions and alerting the affected population. In this PhD thesis we propose a model to predict concentrations of pollutants SO2 and PM10 for each monitoring booth in the Atmospheric Monitoring Network Salamanca (REDMAS - for its spanish acronym). The proposed models consider the use of meteorological variables as factors influencing the concentration of pollutants. The information used along this work is the current real data from REDMAS. In the proposed model, Artificial Neural Networks (ANN) combined with clustering algorithms are used. The type of ANN used is the Multilayer Perceptron with a hidden layer, using separate structures for the prediction of each pollutant. The meteorological variables used for prediction were: Wind Direction (WD), wind speed (WS), Temperature (T) and relative humidity (RH). Clustering algorithms, K-means and Fuzzy C-means, are used to find relationships between air pollutants and weather variables under consideration, which are added as input of the RNA. Those relationships provide information to the ANN in order to obtain the prediction of the pollutants. The results of the model proposed in this work are compared with the results of a multivariate linear regression and multilayer perceptron neural network. The evaluation of the prediction is calculated with the mean absolute error, the root mean square error, the correlation coefficient and the index of agreement. The results show the importance of meteorological variables in the prediction of the concentration of the pollutants SO2 and PM10 in the city of Salamanca, Gto., Mexico. The results show that the proposed model perform better than multivariate linear regression and multilayer perceptron neural network. The models implemented for each monitoring booth have the ability to make predictions of air quality that can be used in a system of real-time forecasting and human health impact analysis. Among the main results of the development of this thesis we can cite: A model based on artificial neural network combined with clustering algorithms for prediction with a hour ahead of the concentration of each pollutant (SO2 and PM10) is proposed. A different model was designed for each pollutant and for each of the three monitoring booths of the REDMAS. A model to predict the average of pollutant concentration in the next 24 hours of pollutants SO2 and PM10 is proposed, based on artificial neural network combined with clustering algorithms. Model was designed for each booth of the REDMAS and each pollutant separately. Resumen La contaminación atmosférica es una amenaza aguda, constituye un fenómeno que tiene particular incidencia sobre la salud del hombre. Los cambios que se producen en la composición química de la atmósfera pueden cambiar el clima, producir lluvia ácida o destruir el ozono, fenómenos todos ellos de una gran importancia global. La Organización Mundial de la Salud (OMS) considera la contaminación atmosférica como una de las más importantes prioridades mundiales. Salamanca, Gto., México; ha sido catalogada como una de las ciudades más contaminadas en este país. La industria de la zona propició un importante desarrollo económico y un crecimiento acelerado de la población en la segunda mitad del siglo XX. Las afectaciones en el aire son graves y se han hecho importantes esfuerzos por medir las concentraciones de los contaminantes. Las principales fuentes de contaminación son fuentes fijas como industrias químicas y de generación eléctrica. Los contaminantes que se han registrado como preocupantes son el Bióxido de Azufre (SO2) y las Partículas Menores a 10 micrómetros (PM10). La predicción de las concentraciones de estos contaminantes puede ser una potente herramienta que permita tomar medidas preventivas como reducción de emisiones a la atmósfera y alertar a la población afectada. En la presente tesis doctoral se propone un modelo de predicción de concentraci ón de los contaminantes más críticos SO2 y PM10 para cada caseta de monitorización de la Red de Monitorización Atmosférica de Salamanca (REDMAS). Los modelos propuestos plantean el uso de las variables meteorol ógicas como factores que influyen en la concentración de los contaminantes. La información utilizada durante el desarrollo de este trabajo corresponde a datos reales obtenidos de la REDMAS. En el Modelo Propuesto (MP) se aplican Redes Neuronales Artificiales (RNA) combinadas con algoritmos de agrupamiento. La RNA utilizada es el Perceptrón Multicapa con una capa oculta, utilizando estructuras independientes para la predicción de cada contaminante. Las variables meteorológicas disponibles para realizar la predicción fueron: Dirección de Viento (DV), Velocidad de Viento (VV), Temperatura (T) y Humedad Relativa (HR). Los algoritmos de agrupamiento K-means y Fuzzy C-means son utilizados para encontrar relaciones existentes entre los contaminantes atmosféricos en estudio y las variables meteorológicas. Dichas relaciones aportan información a las RNA para obtener la predicción de los contaminantes, la cual es agregada como entrada de las RNA. Los resultados del modelo propuesto en este trabajo son comparados con los resultados de una Regresión Lineal Multivariable (RLM) y un Perceptrón Multicapa (MLP). La evaluación de la predicción se realiza con el Error Medio Absoluto, la Raíz del Error Cuadrático Medio, el coeficiente de correlación y el índice de acuerdo. Los resultados obtenidos muestran la importancia de las variables meteorológicas en la predicción de la concentración de los contaminantes SO2 y PM10 en la ciudad de Salamanca, Gto., México. Los resultados muestran que el MP predice mejor la concentración de los contaminantes SO2 y PM10 que los modelos RLM y MLP. Los modelos implementados para cada caseta de monitorizaci ón tienen la capacidad para realizar predicciones de calidad del aire, estos modelos pueden ser implementados en un sistema que permita realizar la predicción en tiempo real y analizar el impacto en la salud de la población. Entre los principales resultados obtenidos del desarrollo de esta tesis podemos citar: Se propone un modelo basado en una red neuronal artificial combinado con algoritmos de agrupamiento para la predicción con una hora de anticipaci ón de la concentración de cada contaminante (SO2 y PM10). Se diseñó un modelo diferente para cada contaminante y para cada una de las tres casetas de monitorización de la REDMAS. Se propone un modelo de predicción del promedio de la concentración de las próximas 24 horas de los contaminantes SO2 y PM10, basado en una red neuronal artificial combinado con algoritmos de agrupamiento. Se diseñó un modelo para cada caseta de monitorización de la REDMAS y para cada contaminante por separado.

Dispositivos contemporáneos ante el reto del neomadismo

Cuatro dispositivos. Cuatro golpes de vista deteniéndonos sobre aspectos de la realidad contemporánea en los que juzgamos pertinente reparar. Usuarios transeúntes a través de los locutorios[D1], entornos dinámicos mediante la sucesión ecológica[D2], sistema de gestión de la propiedad obsoleto ante la realidad de flujos económicojurídicos[D3] y estructuras topológicas electromagnéticas que permiten desplazarnos con unos mínimos comunes[D4]. Modelos transdisciplinares muy directos elegidos por su efectividad ante la inestabilidad, arquetipos de los que tendremos que transferir claves a nuestra disciplina. ABSTRACT. Four devices. Four glances stopping on aspects of the contemporary reality in which we judge relevant to look at. Transient users across the phone booths[D1], dynamic environments through the ecological succession[D2], obsolete property management system facing the reality of financial and law flows[D3] and topological electromagnetic structures that allow our displacements with a few common minimums[D4]. Very direct transdisciplinary models chosen by their efficiency with the instability, archetypes from which we will have to transfer keys to our discipline