412,232 research outputs found

    Surface integrity evaluation and the effect of machining-induced surface integrity characteristics on part's performance

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    Surface integrity (SI) is the integrated surface behavior and condition of a material after being modified by a manufacturing process; it describes the influence of surface properties and characteristics upon material functional performance. As the leading-edge field of manufacturing research, SI finishing/machining and the consequent machining-induced complex combination of surface roughness, residual stress, work-hardening, macro and microstructure transformation, strongly affect the fatigue and stress behavior of machined parts. This kind of influence is particularly sensitive and pronounced in the difficult-to-machine materials, which are typically chosen for the most critical applications in the automobile, aerospace and nuclear industry. Thus, well-designed SI processing requirement and accurate SI evaluation model are essential to control and ensure the surface quality and functional performance for these key parts. In this thesis, an SI descriptive model for quantitative characterization and evaluation of surface integrity is proposed based on five principal SI characteristics. Considering the nature of surface integrity, a conceptual framework of an SI model for machined parts is established, in which the SI model is constructed based on the correlations between SI manufacturing processes, SI characteristics and final functionality. This model offers a theoretical basis and guideline for controlling SI characteristics and improving fatigue properties for machined parts. An empirical model for estimating the SI-characteristics-caused effective stress concentration factor (SCF) is established with fatigue life as the evaluating indicator. For a typical difficult-to-machine material, GH4169 superalloy, usually used in internal combustion engines, its grindability and the influence of processing parameters on the five principal SI characteristics are investigated in detail. The correlations between the processing parameters and the SI characteristics, between the processing parameters and the fatigue properties, and between the SI characteristics and the fatigue properties, are analyzed based on an orthogonally-designed grinding experiment and corresponding rotary bending fatigue testing for GH4169 samples within the selective range of grinding processing parameters. The feasibility and effectiveness of the proposed model for estimating the SI effective SCF are also validated by the experimental results, and this has actually offered an equivalent and convenient means for evaluation of SI and fatigue properties. Finally, the conclusions and contribution of the research are discussed, and potential future work to build on this research is identified

    Assessing Internal Control Effectiveness in Credit Unions: A Coso-Based Study

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    Purpose: The purpose of this study was to evaluate the internal control process in organizations, specifically focusing on savings and credit unions in the Tambo canton. The aim was to assess the fulfillment of actions, activities, plans, policies, standards, records, procedures, and methods within these organizations. The study sought to provide insights into the reliability of internal controls and their impact on the achievement of objectives in public, private, and mixed companies.   Theoretical framework: The study is grounded in the COSO (Committee of Sponsoring Organizations of the Treadway Commission) model, which provides a comprehensive framework for internal control systems. The research draws upon concepts and principles from this model to assess the reliability of internal control components within savings and credit unions in the Tambo canton.   Design/Methodology/Approach: This investigation employed two main approaches: quantitative and bibliographic. The quantitative approach involved using an internal control questionnaire specifically designed for savings and credit unions in the Tambo canton. The questionnaire was structured based on the COSO model components. The bibliographic approach involved an extensive review of existing literature and relevant sources to establish a theoretical foundation for the study. These methods were used to assess the reliability of internal controls in the organizations under investigation.   Findings: The study found that the savings and credit unions in the Tambo canton demonstrated high levels of reliability in the components of the COSO I methodology. The internal control processes within these organizations were effective, indicating commitment, responsibility, integrity, common objectives, communication, and evaluation among the workers. The findings suggest that the internal control systems in place contribute significantly to the organizations' overall reliability and low levels of risk.   Research, Practical & Social implications: From a research perspective, this study contributes valuable insights into the effectiveness of internal control processes within savings and credit unions, particularly when assessed through the lens of the COSO model. Practically, the findings have implications for organizations seeking to enhance their internal control systems, emphasizing the importance of commitment, communication, and evaluation in ensuring reliability. Socially, the study underscores the significance of trustworthy and reliable internal control mechanisms, which can foster integrity and responsibility within organizations and, by extension, contribute to the community's overall trust in these institutions. Originality/Value: The originality of this study lies in its specific focus on savings and credit unions in the Tambo canton, providing a detailed evaluation of their internal control processes using the COSO model. The research adds value by offering practical insights for organizations aiming to improve their internal control systems, making it a valuable resource for practitioners and policymakers. Additionally, the study contributes to the broader academic discourse on internal control processes, reaffirming the importance of commitment and communication within organizations for achieving reliability and low risk levels

    Doing Good Today and Better Tomorrow: A Roadmap to High Impact Philanthropy Through Outcome-Focused Grantmaking

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    Describes Hewlett's experience with implementing the outcome-focused grantmaking (OFG) process in its environment program as a guide for identifying a portfolio of grants with maximum impact. Outlines trials and errors, recent innovations, and challenges

    A synthesis of logic and bio-inspired techniques in the design of dependable systems

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    Much of the development of model-based design and dependability analysis in the design of dependable systems, including software intensive systems, can be attributed to the application of advances in formal logic and its application to fault forecasting and verification of systems. In parallel, work on bio-inspired technologies has shown potential for the evolutionary design of engineering systems via automated exploration of potentially large design spaces. We have not yet seen the emergence of a design paradigm that effectively combines these two techniques, schematically founded on the two pillars of formal logic and biology, from the early stages of, and throughout, the design lifecycle. Such a design paradigm would apply these techniques synergistically and systematically to enable optimal refinement of new designs which can be driven effectively by dependability requirements. The paper sketches such a model-centric paradigm for the design of dependable systems, presented in the scope of the HiP-HOPS tool and technique, that brings these technologies together to realise their combined potential benefits. The paper begins by identifying current challenges in model-based safety assessment and then overviews the use of meta-heuristics at various stages of the design lifecycle covering topics that span from allocation of dependability requirements, through dependability analysis, to multi-objective optimisation of system architectures and maintenance schedules

    An empirical learning-based validation procedure for simulation workflow

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    Simulation workflow is a top-level model for the design and control of simulation process. It connects multiple simulation components with time and interaction restrictions to form a complete simulation system. Before the construction and evaluation of the component models, the validation of upper-layer simulation workflow is of the most importance in a simulation system. However, the methods especially for validating simulation workflow is very limit. Many of the existing validation techniques are domain-dependent with cumbersome questionnaire design and expert scoring. Therefore, this paper present an empirical learning-based validation procedure to implement a semi-automated evaluation for simulation workflow. First, representative features of general simulation workflow and their relations with validation indices are proposed. The calculation process of workflow credibility based on Analytic Hierarchy Process (AHP) is then introduced. In order to make full use of the historical data and implement more efficient validation, four learning algorithms, including back propagation neural network (BPNN), extreme learning machine (ELM), evolving new-neuron (eNFN) and fast incremental gaussian mixture model (FIGMN), are introduced for constructing the empirical relation between the workflow credibility and its features. A case study on a landing-process simulation workflow is established to test the feasibility of the proposed procedure. The experimental results also provide some useful overview of the state-of-the-art learning algorithms on the credibility evaluation of simulation models

    Multimedia Semantic Integrity Assessment Using Joint Embedding Of Images And Text

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    Real world multimedia data is often composed of multiple modalities such as an image or a video with associated text (e.g. captions, user comments, etc.) and metadata. Such multimodal data packages are prone to manipulations, where a subset of these modalities can be altered to misrepresent or repurpose data packages, with possible malicious intent. It is, therefore, important to develop methods to assess or verify the integrity of these multimedia packages. Using computer vision and natural language processing methods to directly compare the image (or video) and the associated caption to verify the integrity of a media package is only possible for a limited set of objects and scenes. In this paper, we present a novel deep learning-based approach for assessing the semantic integrity of multimedia packages containing images and captions, using a reference set of multimedia packages. We construct a joint embedding of images and captions with deep multimodal representation learning on the reference dataset in a framework that also provides image-caption consistency scores (ICCSs). The integrity of query media packages is assessed as the inlierness of the query ICCSs with respect to the reference dataset. We present the MultimodAl Information Manipulation dataset (MAIM), a new dataset of media packages from Flickr, which we make available to the research community. We use both the newly created dataset as well as Flickr30K and MS COCO datasets to quantitatively evaluate our proposed approach. The reference dataset does not contain unmanipulated versions of tampered query packages. Our method is able to achieve F1 scores of 0.75, 0.89 and 0.94 on MAIM, Flickr30K and MS COCO, respectively, for detecting semantically incoherent media packages.Comment: *Ayush Jaiswal and Ekraam Sabir contributed equally to the work in this pape
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