968 resultados para Crowd funding


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This 8-minute DVD (PAL standard in DVD-R format) looks into the workings of one of the oldest angel investing organizations. Pasadena Angels is a group of leading private investors that provide long-term human and financial capital to help build successful companies. Two start-up companies are profiled as they apply for funds. Directors and angel investors describe their funding criteria and discuss how a “best practice” angel operates. This video is appropriate for new angel groups, upper-level university courses, and general venture capital interest.

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Wonju is the first municipality in the Republic of Korea to fund the Healthy City project through municipal revenues from the local tobacco consumption tax. We investigated the process of the local tobacco consumption tax being approved as the main source of financing for the local Healthy City project. We also examined the sustainability and sufficiency of the funding by looking at the pricing policies instituted for cigarettes, smoking prevalence, cigarette consumption and revenues from local tobacco consumption as well as the budgetary allocations among programs in the city. The strong initiative of the mayor of Wonju was one of the factors that enabled the earmarking of the local tobacco consumption tax for the Healthy City Wonju project. He consulted academic counselors and persuaded the municipal government and the City Council to approve the bill. Despite the increasing price of cigarettes in Korea, adequate funding can be sustained to cover the short-term and mid-term programs in Wonju for at least 5 years of the mayor's term, because the smoking rate is persistently high. Analyzing the effects of strong leadership on the part of local authorities and the balance between revenues from the tobacco tax and the prevalence of smoking in the face of anti-smoking policies would be helpful for other countries and communities interested in developing sustainable Healthy Cities projects.

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Distributed denial of service (DDoS) attack is a continuous critical threat to the Internet. Derived from the low layers, new application-layer-based DDoS attacks utilizing legitimate HTTP requests to overwhelm victim resources are more undetectable. The case may be more serious when suchattacks mimic or occur during the flash crowd event of a popular Website. In this paper, we present the design and implementation of CALD, an architectural extension to protect Web servers against various DDoS attacks that masquerade as flash crowds. CALD provides real-time detection using mess tests but is different from other systems that use resembling methods. First, CALD uses a front-end sensor to monitor thetraffic that may contain various DDoS attacks or flash crowds. Intense pulse in the traffic means possible existence of anomalies because this is the basic property of DDoS attacks and flash crowds. Once abnormal traffic is identified, the sensor sends ATTENTION signal to activate the attack detection module. Second, CALD dynamically records the average frequency of each source IP and check the total mess extent. Theoretically, the mess extent of DDoS attacks is larger than the one of flash crowds. Thus, with some parameters from the attack detection module, the filter is capable of letting the legitimate requests through but the attack traffic stopped. Third, CALD may divide the security modules away from the Web servers. As a result, it keeps maximum performance on the kernel web services, regardless of the harassment from DDoS. In the experiments, the records from www.sina.com and www.taobao.com have proved the value of CALD.

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Crowd simulation is an important feature in the computer graphics field. Typical implementations simulate battle scenes, emergency situations, safety issues or add content to virtual environments. The problem stated in this paper falls in the last category. We present a crowd simulation behavioural model which allows us to simulate identified phenomena in popular local African markets such as narrow street flows and crowd formation around street performances. We propose a three-tier architecture model enable to produce intentions, perform path planning and control movement. We demonstrate that this approach produces the desired behaviour associated with crowds in an African market, which includes navigation, flow formation and circle creation.

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The design of Labor's student demand-driven system was likely to divide Australian universities into a binary system.

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Although individual funding is increasingly being used around the globe as a mechanism to fund social care, its implementation is proving to be problematic and implementation strategies are not well developed. This paper proposes a framework for the successful introduction and implementation of individual funding programs based on the analysis of data collected in a qualitative case study conducted in an Australian not-for-profit disability agency over a 4-year period from 2003 to 2007. Data were gathered through participant observation and interviews with program participants and managers, and the findings were validated with those involved. Bronfenbrenner’s ecological systems theory is used to analyze the findings from a micro, meso, exo, and macro perspective. The following factors were found to be important for successful implementation: the meaningful involvement of the person with disability in decision-making; adequate resources; access to information and appropriate supports; suitable activities being available; knowledge of policies and procedures; policies ensuring oversight and responsible accountability; employment conditions for workers being safeguarded; and support for staff and managers to adjust to their new roles. Knowledge of effective implementation strategies is important for disability agencies and for governments promoting individual funding because this radically different funding arrangement requires new implementation strategies.

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Current DDoS attacks are carried out by attack tools, worms and botnets using different packet-transmission strategies and various forms of attack packets to beat defense systems. These problems lead to defense systems requiring various detection methods in order to identify attacks. Moreover, DDoS attacks can mix their traffics during flash crowds. By doing this, the complex defense system cannot detect the attack traffic in time. In this paper, we propose a behavior based detection that can discriminate DDoS attack traffic from traffic generated by real users. By using Pearson's correlation coefficient, our comparable detection methods can extract the repeatable features of the packet arrivals. The extensive simulations were tested for the accuracy of detection. We then performed experiments with several datasets and our results affirm that the proposed method can differentiate traffic of an attack source from legitimate traffic with a quick response. We also discuss approaches to improve our proposed methods at the conclusion of this paper.

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The financial support available to students on social work qualifying programmes appears to be a neglected topic in published social work research. This article draws on a literature review and secondary data analysis of an existing dataset to discuss what is known about this topic and specifically considers the impact of a financial incentive to undertake social work qualifying education in England, the social work bursary. In the context of major changes to the funding of higher education in England, it suggests that the introduction of the social work bursary has helped increase the number of students enrolling on social work qualifying programmes in England and supported some students whose personal and financial circumstances might have prevented them from undertaking social work qualifying education. While students report their appreciation of financial assistance in the form of the bursary, many have additional needs in the form of support for children and other dependants, and for help in defraying the costs of travel while undertaking practice placements. The paper concludes that attention needs to be paid to the specific needs of social work students when considering the impact of changes to funding higher education.

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Most of the state-of-the-art commercial simulation software mainly focuses on providing realistic animations and convincing artificial intelligence to avatars in the scenario. However, works on how to trigger the events and avatar reactions in the scenario in a natural and intuitive way are less noticed and developed. Typical events are usually triggered by predefined timestamps. Once the events are set, there is no easy way to interactively generate new events while the scene is running and therefore difficult to dynamically affect the avatar reactions. Based on this situation, we propose a framework to use human gesture as input to trigger events within a DI-Guy simulation scenario in real-time, which could greatly help users to control events and avatar reactions in the scenario. By implementing such a framework, we will be able to identify user’s intentions interactively and ensure that the avatars make corresponding reactions.

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 SBS News radio interview with Amelia Johns about racism on public transport and the response of witnesses.