24 research outputs found
A Roadmap for the Transition from Paper to Digital Records
No full textNowadays there are a lot of innovative activities going on in the youth care sector. One of the innovations is using digital client records instead of paper client records and in the future online access to digital records for clients. Before an organisation can make client records accessible through the internet, they have to professionalize and organize the digital client records and their own organisation. Thus when introducing a new working method in an organisation, organisations have to deal with organisational and technical changes. This thesis describes a roadmap which describes the process for transiting from paper to digital records in a youth care organisation where the organisational and technical issues will be taken into account. The DEMO methodology is used to model the organisation undergoing the change. The organisational model produced using this methodology, gives the management a good overview of how the care taking process takes place at the moment and can be used to improve this process if necessary. This model also helps to identify the roles and responsibilities of the actors involved in the organisation. Furthermore this model gives additional contribution to the concept of the Alares ‘knowledge environment’ which is also used the organisation according to its four components.Software TechnologyElectrical Engineering, Mathematics and Computer Scienc
Why Civil Resistance Fails: The Saffron Uprising in Myanmar, 2007
No full textThis article examines why the 2007 Saffron Uprising in Myanmar failed to achieve its strategic objectives. By applying Ackerman and Kruegler’s (1994) principles of nonviolent conflict, the author examines how the strategic and tactical choices employed by campaign leaders minimized the campaign’s ability to achieve its goals. The findings suggest that the major reason the movement failed is associated with two factors: first, movement leaders were unable to create defection in security forces and in the civilian bureaucracy; second, the organizers were unable to build organizational strength and to produce contingency leadership. The other reasons for the failure include the movement leaders’ inability to generate wide external support and that they did not assess the events and options in light of strategic decision making. These findings are essential not only for understanding the campaign’s failure, but to building theory. They alert scholars and activists to acknowledge the type of foreign support required for modern campaigns to succeed. The case also underscores the significance of education and preparation through training so that activists understand the dynamics of nonviolent conflict and are able to respond strategically to trying circumstances
Retracted: Maternal outcome of term obstetric emergencies referred to tertiary care centre
No full textThe article "Maternal outcome of term obstetric emergencies referred to tertiary care centre" is retracted by the Editor-in-Chief, due to violation of the policies and practices of International Journal of Reproduction, Contraception, Obstetrics and Gynecology. The article is retracted due to error in data informed by corresponding author
Distributed vs. centralized database systems: Transaction execution cost and performance analysis
No full textThe purpose of this paper is twofold. First, we investigate the impact of concurrency control on transaction execution cost and system throughout in centralized and distributed data base systems (DBS) based on slow and fast (local) networks. Second, we show that in terms of transaction execution cost and DBS throughput, there are some applications for which any distributed DBS can be more effective than any centralized DBS and vice versa. We also argue that for other applications the decision in favour of distributed or centralized DBS should be based on the comparison of specific DBS systems. (Author)Approved for public release; distribution is unlimited.NAsupported in part by the Foundation Research
Program of the Naval Postgraduate School with funds provided by the Chief of
Naval Researchhttp://archive.org/details/distributedvscen00bad
Online portfolio system
No full textSoftware TechnologyElectrical Engineering, Mathematics and Computer Scienc
On robustness of deadlock detection algorithms for distributed computing systems
No full textIn this paper we investigate the robustness of several deadlock detection algorithms for distributed computing systems. We analyze the behavior of each algorithm in the presence of two classes of failures - lost messages and single site failures. In the case of single site failure we consider six different types of sites depending on how they can participate in deadlock and deadlock detection. The observation and conclusions made in this paper are intended to show how robust the present algorithms are and to provide an insight and better understanding of distributed algorithms robustness. (Author)N0001482WR20043Prepared for: Naval Postgraduate School, Monterey, California 93940.http://archive.org/details/onrobustnessofde00bad
On deadlock detection in distributed computing systems
No full textWith the advent of distributed computing systems, the problem of deadlock, which has been essentially solved for centralized computing systems, has reappeared. Existing centralized deadlock detection techniques are either too expensive or they do not work correctly in distributed computing systems. Although several algorithms have been developed specifically for distributed systems, the majority of them have also been shown to be inefficient or incorrect. A new algorithm is proposed which is more efficient than any existing distributed deadlock detection algorithm. (Author)Approved for public release; distribution is unlimited.supported in part by the Foundation
Research Program of the Naval Postgraduate School with funds provided the by Chief of Naval Researchhttp://archive.org/details/ondeadlockdetect00bad
Contabilidad forense y blanqueo de capitales: aplicación del aprendizaje automático en un proceso judicial español
No full textThis PhD Dissertation adds two new results in detecting signs of financial fraud: (1) the application of automated learning techniques to internal accounting databases of companies to detect money laundering, and (2) the offer of information to the investigating authorities on how the money laundering network is organized, with the objective of orientating the judicial investigation towards those companies or physical persons who present signs of suspicious patterns.
Thus, in the context of a real macro-case on money laundering in which the author has collaborated as forensic accountant, this study analyses the database available of the operations carried out between a core company and a set of 643 supplier companies, 26 of which had already been identified a priori by the Judicial Police as fraudulent. Faced with a well-founded suspicion that other suppliers within the network might have committed criminal acts, and in order to better manage the scarce police resources available, machine learning techniques are proposed with two different approaches to detect patterns of fraud.
The first proposed approach is the implementation of Neural Network models to the expert-assisted work for the detection of fraud operations. For this purpose, based on machine learning techniques, the network structure used is that proposed by Hastie et al. (2008): The Back-Propagation Network.
In the second approach, it is proposed a more ambitious procedure to pattern detection than the previous one, in which Benford's Law (Nigrini and Mittermaider, 1997), a tool to characterize accounting records of the commercial operations between the main company and its supplier, is combined with four models of classification: Ridge Logistic Regression (LG) (Le Cessie and van Houwelingen, 1992), Artificial Neural Networks (NN) (Hastie et al., 2008), Decision Tree C4.5 (DT) (Quinlan, 1993 and 1996) and Random Forest (RF) (Breiman, 2001).
Overall, the Random Forest showed the best results with the SMOTE transformation, obtaining 96.15% of true negatives (TN Rate) and 94.98% of true positives (TP Rate). The classification capacity of this methodology is undoubtedly very high.Thus, the machine learning techniques proposed in this paper represent an efficient and objective new tool for detecting fraudulent patterns of behaviour for the investigation of money
laundering offences, allowing police investigators to focus the limited economic and human resources available in the judicial processes on those companies under suspicion who present a pattern of behaviour similar to that of previously recognized fraudulent companies.
This PhD Dissertation is structured in two parts. On the first part, composed of three Chapters, establishes the theoretical framework on which the research is based. The first Chapter outlines the concept of money laundering and studies the tendency of this crime in Spain. Chapter II describes the process of management and access to information prior to the application of the proposed techniques (Data Pre-processing). Next, Chapter III specifies the methodology applied based on machine learning techniques for the detection of money laundering pattern.
The second part is devoted to the presentation of the judicial process and the analysis of the results. After the presentation of the judicial process and the description of the sample, on the Chapter IV are presented the results obtained in the application of the machine learning techniques proposed in the two approaches. The PhD Dissertation ends with the conclusions and with proposals for further research
Seismic Vulnerability Assessment of Post-Tensioned Timber Building Fitted with Dissipative Bracing System
No full textA Post-tensioned (PT) timber building coupled with dissipative bracing systems is a sustainable seismic-resistant structural system. This system combines desirable qualities of self-centering, energy dissipation, and lightweight timber, which attracts lesser seismic force and contributes to a better resilient system. Despite significant advancement in the provision of these sustainable seismic-resistant timber-based structural archetypes, more study is required to derive a fuller knowledge of the behaviour of these innovative structural systems under a range of ground motion intensities and limited state capacities. Direct Displacement-based design, a performance-based design approach, is used for the design of this system, and performance assessment is carried out using nonlinear dynamic analysis. This study investigates the performance of the braced PT frame under different limit state considerations using ground motion records consistent with the NBC 2020 seismic hazard.The presentation of the authors' names and (or) special characters in the title of the pdf file of the accepted manuscript may differ slightly from what is displayed on the item page. The information in the pdf file of the accepted manuscript reflects the original submission by the author
Pengolahan Rambut Jagung Untuk Teh Herbal Dan Strategi Pemasarannya
No full textCorn silk (Zea mays L.), commonly considered agricultural waste, contains bioactive compounds with potential health benefits, including flavonoids, phenols, and tannins. These compounds exhibit antioxidant properties that can help prevent degenerative diseases such as cardiovascular disorders, diabetes mellitus, and cancer. This community service program focuses on utilizing corn silk as a raw material for producing herbal tea with economic value and health benefits. The program employs participatory and collaborative approaches, involving local farmers to develop skills in production, marketing, and product quality assurance. The innovation supports sustainable health practices and contributes to local economic development by transforming agricultural waste into valuable products
