887 resultados para Scalable Intelligence


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O século XXI introduziu profundas mudanças no espaço onde a atuação militar se desenvolve. Esta mutação, que agora inclui o domínio físico e cognitivo na ação militar, impõe a adoção de novos conceitos de operação e estruturas organizacionais mais ágeis, de forma a fazerem face a um ambiente altamente volátil, imprevisível e complexo. Tal contexto torna as organizações, hoje mais do que nunca, dependentes de informação (e dos sistemas que as geram), e no âmbito das organizações militares, uma capacidade em particular assume, na atualidade, uma preponderância fulcral para o sucesso destas, que se designa por Intelligence, Surveillance & Reconnaissance (ISR). Considerando a complexidade de sistemas, processos e pessoas que envolvem toda esta capacidade, torna-se relevante estudar como a Força Aérea Portuguesa (FAP) está a acomodar este conceito no interior da sua estrutura, uma vez que a sua adaptação requer uma organização da era da informação, onde o trabalho em rede assume particular destaque. A presente investigação analisa formas de estruturas organizacionais contemporâneas e cruza-as com as recomendações da Organização do Tratado do Atlântico Norte (também designada por Aliança), comparando-as posteriormente com a atualidade da FAP. No final, são efetuadas propostas tangíveis, que podem potenciar as capacidades existentes, de onde se destaca a criação de uma matriz de análise quanto à eficiência organizacional, uma nova forma de organização das capacidades residentes no que ao ISR concerne, bem como o modo de potenciar o trabalho em rede com base nos meios existentes. Abstract: The 21st century has caused profound changes in the areas where military action takes place. This mutation, which now includes the physical and cognitive domain in military action, requires the adoption of new concepts of operation and more agile organizational structures in order to cope with a highly volatile, unpredictable and complex environment. Thus, more than ever, this makes the present organizations dependent of information (and the systems that generate them), in the case of military organizations, a particular capability undertakes today a strong impact on the success of military organizations. It is known as Intelligence, Surveillance& Reconnaissance (ISR). Taking into account the complexity of systems, processes and people involving all this capability, it is relevant to study how the Portuguese Air Force (PAF) is accommodating this concept within its structure, since the adaptation requires an organization adapted to the information era, where networking is particularly prominent. This research aims to analyze contemporary forms of organizational structures and cross them with the recommendations of the North Atlantic Treaty Organization (also known as Alliance), later comparing them with today's PAF. At the end of this investigation, some tangible proposals are made which can enhance existing capabilities: we can highlight the creation of an analysis matrix for organizational efficiency, a new form of organization of the resident capabilities in the ISR concerns, as well as the way of enhancing networking, based on existing means.

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El propósito general de esta tesis doctoral fue el de ampliar el conocimiento acerca del papel que la Inteligencia Emocional (IE) desempeña en la explicación de las conductas agresivas. Para ello, se plantearon 4 estudios, cuyos resultados, de forma general, han arrojado evidencias de la existencia de una relación negativa entre IE y agresión, es decir, las personas que presentan dificultades para percibir, usar, comprender y regular sus emociones y la de los demás, muestran una mayor incidencia en el uso de comportamientos agresivos que aquellas personas con mayores niveles de IE. En el primer estudio, el objetivo fue revisar de forma sistemática la literatura que se ha centrado en analizar las relaciones entre IE y agresión. De esta revisión se obtuvo como resultado 19 trabajos empíricos que mostraban la existencia de una asociación negativa entre la IE y la realización de conductas agresiva consistente en muestras de diferentes edades y contextos culturales y parece independiente del tipo de agresión estudiada. Teniendo en cuenta la literatura revisada en el primer trabajo, el objetivo del segundo estudio fue ampliar esta línea de investigación centrándonos en la relación de la agresión y la IE como habilidad. Para ello se realizaron dos subestudios. En el primer subestudio exploramos la relación entre IEH y agresión en adultos a nivel transversal y analizamos la validez incremental de la IEH sobre los factores de personalidad en la explicación de conductas agresivas de tipo físico y verbal. En el segundo trabajo, nuestros objetivos fueron corroborar los resultados encontrados en el subestudio 1 en una muestra de población adolescente y analizar la relación temporal entre ambas variables en un estudio longitudinal. Los resultados obtenidos en ambos subestudios muestran de forma consistente una clara relación entre la IEH y la agresión física, y una asociación más débil en el caso de la agresión verbal. La finalidad del tercer estudio fue la adaptación al español de una medida de agresión y de variables emocionales asociadas a la conducta agresiva, con el fin de que el uso de esta escala posibilite el avance en este campo de estudio. Por último, el propósito del cuarto estudio fue profundizar en el conocimiento sobre la relación entre IEH y agresión. Para ello, en primer lugar, se apotaron datos preliminares acerca de la asociación entre variables que no han sido estudiadas hasta la fecha, como la relación entre IEH y agresión indirecta, y entre IEH y rumiación de la ira. En segundo lugar, se ha examinando el mecanismo a través del cual las habilidades emocionales ejercen su papel sobre las conductas agresivas, analizando el papel mediador de la rumiación de la ira en esta relación. En conjunto, los cuatro trabajos presentados añaden evidencias sobre la existencia de una relación negativa entre IEH y agresión.

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Since its identification in the 1990s, the RNA interference (RNAi) pathway has proven extremely useful in elucidating the function of proteins in the context of cells and even whole organisms. In particular, this sequence-specific and powerful loss-of-function approach has greatly simplified the study of the role of host cell factors implicated in the life cycle of viruses. Here, we detail the RNAi method we have developed and used to specifically knock down the expression of ezrin, an actin binding protein that was identified by yeast two-hybrid screening to interact with the Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) spike (S) protein. This method was used to study the role of ezrin, specifically during the entry stage of SARS-CoV infection.

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With the proliferation of new mobile devices and applications, the demand for ubiquitous wireless services has increased dramatically in recent years. The explosive growth in the wireless traffic requires the wireless networks to be scalable so that they can be efficiently extended to meet the wireless communication demands. In a wireless network, the interference power typically grows with the number of devices without necessary coordination among them. On the other hand, large scale coordination is always difficult due to the low-bandwidth and high-latency interfaces between access points (APs) in traditional wireless networks. To address this challenge, cloud radio access network (C-RAN) has been proposed, where a pool of base band units (BBUs) are connected to the distributed remote radio heads (RRHs) via high bandwidth and low latency links (i.e., the front-haul) and are responsible for all the baseband processing. But the insufficient front-haul link capacity may limit the scale of C-RAN and prevent it from fully utilizing the benefits made possible by the centralized baseband processing. As a result, the front-haul link capacity becomes a bottleneck in the scalability of C-RAN. In this dissertation, we explore the scalable C-RAN in the effort of tackling this challenge. In the first aspect of this dissertation, we investigate the scalability issues in the existing wireless networks and propose a novel time-reversal (TR) based scalable wireless network in which the interference power is naturally mitigated by the focusing effects of TR communications without coordination among APs or terminal devices (TDs). Due to this nice feature, it is shown that the system can be easily extended to serve more TDs. Motivated by the nice properties of TR communications in providing scalable wireless networking solutions, in the second aspect of this dissertation, we apply the TR based communications to the C-RAN and discover the TR tunneling effects which alleviate the traffic load in the front-haul links caused by the increment of TDs. We further design waveforming schemes to optimize the downlink and uplink transmissions in the TR based C-RAN, which are shown to improve the downlink and uplink transmission accuracies. Consequently, the traffic load in the front-haul links is further alleviated by the reducing re-transmissions caused by transmission errors. Moreover, inspired by the TR-based C-RAN, we propose the compressive quantization scheme which applies to the uplink of multi-antenna C-RAN so that more antennas can be utilized with the limited front-haul capacity, which provide rich spatial diversity such that the massive TDs can be served more efficiently.

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Our research has shown that schedules can be built mimicking a human scheduler by using a set of rules that involve domain knowledge. This chapter presents a Bayesian Optimization Algorithm (BOA)for the nurse scheduling problem that chooses such suitable scheduling rules from a set for each nurse’s assignment. Based on the idea of using probabilistic models, the BOA builds a Bayesian network for the set of promising solutions and samples these networks to generate new candidate solutions. Computational results from 52 real data instances demonstrate the success of this approach. It is also suggested that the learning mechanism in the proposed algorithm may be suitable for other scheduling problems.

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“Knowing the Enemy: Nazi Foreign Intelligence in War, Holocaust and Postwar,” reveals the importance of ideologically-driven foreign intelligence reporting in the wartime radicalization of the Nazi dictatorship, and the continued prominence of Nazi discourses in postwar reports from German intelligence officers working with the U.S. Army and West German Federal Intelligence Service after 1945. For this project, I conducted extensive archival research in Germany and the United States, particularly in overlooked and files pertaining to the wartime activities of the Reichssicherheitshauptamt, Abwehr, Fremde Heere Ost, Auswärtiges Amt, and German General Staff, and the recently declassified intelligence files pertaining to the postwar activities of the Gehlen Organization, Bundesnachrichtendienst, and Foreign Military Studies Program. Applying the technique of close textual analysis to the underutilized intelligence reports themselves, I discovered that wartime German intelligence officials in military, civil service, and Party institutions all lent the appearance of professional objectivity to the racist and conspiratorial foreign policy beliefs held in the highest echelons of the Nazi dictatorship. The German foreign intelligence services’ often erroneous reporting on Great Britain, the Soviet Union, the United States, and international Jewry simultaneously figured in the radicalization of the regime’s military and anti-Jewish policies and served to confirm the ideological preconceptions of Hitler and his most loyal followers. After 1945, many of these same figures found employment with the Cold War West, using their “expertise” in Soviet affairs to advise the West German Government, U.S. Military, and CIA on Russian military and political matters. I chart considerable continuities in personnel and ideas from the wartime intelligence organizations into postwar West German and American intelligence institutions, as later reporting on the Soviet Union continued to reproduce the flawed wartime tropes of innate Russian military and racial inferiority.

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O presente trabalho de investigação aplicada está subordinado ao tema “Intelligence-led policing: o papel dos sistemas de informação no planeamento e orientação do esforço de policiamento”. Começámos por fazer um enquadramento teórico e abordar conceitos importantes para o desenvolvimento de todo o trabalho. Assumindo um método dedutivo, desenvolvemos um estudo com base na seguinte questão de partida: “Qual o impacto dos sistemas de informação no planeamento e orientação do esforço de policiamento?”. Posto isto, este trabalho tem como objetivo perceber qual a influência que os sistemas de informação têm na tomada de decisão do comandante, neste caso de Destacamento Territorial, mais precisamente no planeamento e orientação do esforço de policiamento. Quanto à metodologia, incidiu numa análise documental sobre as variáveis em estudo e também na análise de respostas aos inquéritos por questionário efetuados aos Comandantes de Destacamento Territorial. Com este trabalho concluímos que, do ponto de vista de uma grande parte dos inquiridos, os sistemas de informação que a Guarda Nacional Republicana dispõe não são adequados às necessidades operacionais desta. Outra conclusão a que chegámos foi ao facto de, apesar da informação analisada ter reconhecidamente valor acrescentado, as ferramentas de análise que a Guarda dispõe também não são suficientes para suprir as necessidades sentidas.

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La importancia del proceso de toma de decisiones en la determinación del éxito de las compañías; genera la necesidad de contar con una fuente de información confiable que permita la generación de conocimiento oportuno y a disposición de quien lo necesita. El propósito de esta investigación es establecer un marco de referencia de la utilización de Business Intelligence como soporte de las decisiones tácticas, estratégicas y operacionales en las empresas. Iniciando con la descripción de la evolución de los sistemas de información utilizados en el proceso de toma de decisiones, impulsada por los diferentes cambios tecnológicos que han marcado el camino del establecimiento de Business Intelligence como una solución integral para los desafíos que se presentan a diario relacionados con la búsqueda de generación de valor mediante la implementación de decisiones óptimas. Luego se describe la arquitectura de un sistema de inteligencia de negocios en la cual se define elementos básicos para el correcto funcionamiento, como lo son: almacenamiento de datos, funciones empresariales, sistemas de gestión y las interfaces de usuario. Además de describir el proceso y alcance de su correcta implementación, y poder así obtener los beneficios que estos sistemas ofrecen. La metodología desarrollada en la investigación fue descriptiva, y se fundamentó en identificar el grado de utilización de Business Intelligence por los tomadores de decisiones, representados por egresados y graduados de la Maestría en Administración Financiera de la Universidad de El Salvador en el período 2006-2015.

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Virtually every sector of business and industry that uses computing, including financial analysis, search engines, and electronic commerce, incorporate Big Data analysis into their business model. Sophisticated clustering algorithms are popular for deducing the nature of data by assigning labels to unlabeled data. We address two main challenges in Big Data. First, by definition, the volume of Big Data is too large to be loaded into a computer’s memory (this volume changes based on the computer used or available, but there is always a data set that is too large for any computer). Second, in real-time applications, the velocity of new incoming data prevents historical data from being stored and future data from being accessed. Therefore, we propose our Streaming Kernel Fuzzy c-Means (stKFCM) algorithm, which reduces both computational complexity and space complexity significantly. The proposed stKFCM only requires O(n2) memory where n is the (predetermined) size of a data subset (or data chunk) at each time step, which makes this algorithm truly scalable (as n can be chosen based on the available memory). Furthermore, only 2n2 elements of the full N × N (where N >> n) kernel matrix need to be calculated at each time-step, thus reducing both the computation time in producing the kernel elements and also the complexity of the FCM algorithm. Empirical results show that stKFCM, even with relatively very small n, can provide clustering performance as accurately as kernel fuzzy c-means run on the entire data set while achieving a significant speedup.

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I Big Data stanno guidando una rivoluzione globale. In tutti i settori, pubblici o privati, e le industrie quali Vendita al dettaglio, Sanità, Media e Trasporti, i Big Data stanno influenzando la vita di miliardi di persone. L’impatto dei Big Data è sostanziale, ma così discreto da passare inosservato alla maggior parte delle persone. Le applicazioni di Business Intelligence e Advanced Analytics vogliono studiare e trarre informazioni dai Big Data. Si studia il passaggio dalla prima alla seconda, mettendo in evidenza aspetti simili e differenze.

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The role of the principal in school settings and the principal’s perceived effect on student achievement have frequently been considered vital factors in school reform. The relationships between emotional intelligence, leadership style and school culture have been widely studied. The literature reveals agreement among scholars regarding the principal’s vital role in developing and fostering a positive school culture. The purpose of this study was to explore the relationships between elementary school principals’ emotional intelligence, leadership style and school culture. The researcher implemented a non-experimental ex post facto research design to investigate four specific research hypotheses. Utilizing the Qualtrics Survey Software, 57 elementary school principals within a large urban school district in southeast Florida completed the Emotional Quotient Inventory (EQ-i), and 850 of their faculty members completed the Multifactor Leadership Questionnaire (MLQ Form 5X). Faculty responses to the school district’s School Climate Survey retrieved from the district’s web site were used as the measure of school culture. Linear regression analyses revealed significant positive associations between emotional intelligence and the following leadership measures: Idealized Influence-Attributes (β = .23, p = < .05), Idealized Influence-Behaviors (β = .34, p = < .01), Inspirational Motivation (β = .39, p = < .01) and Contingent Reward (β = .33, p = < .01). Hierarchical regression analyses revealed positive associations between school culture and both transformational and transactional leadership measures, and negative associations between school culture and passive-avoidant leadership measures. Significant positive associations were found between school culture and the principals’ emotional intelligence over and above leadership style. Hierarchical linear regressions to test the statistical hypothesis developed to account for alternative explanations revealed significant associations between leadership style and school culture over and above school grade. These results suggest that emotional intelligence merits consideration in the development of leadership theory. Practical implications include suggestions that principals employ both transformational and transactional leadership strategies, and focus on developing their level of emotional intelligence. The associations between emotional intelligence, transformational leadership, Contingent Reward and school culture found in this study validate the role of the principal as the leader of school reform.