9,672,667 research outputs found

    Testing times for global financial governance

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    Ignazio Angeloni believes that the increase in financial interdependence in recent decades has not been matched by sufficient progress in the international coordination among regulatory authorities. In fact, the international financial system has suffered from insufficient globalisation of regulatory and supervisory policies, not excessive globalisation of financial markets.

    Supplier for Samsung and Lenovo Accused of Using Child Labor

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    This document is part of a digital collection provided by the Martin P. Catherwood Library, ILR School, Cornell University, pertaining to the effects of globalization on the workplace worldwide. Special emphasis is placed on labor rights, working conditions, labor market changes, and union organizing.CLW_2014_Report_China_supplier_for_samsung.pdf: 46 downloads, before Oct. 1, 2020

    Liberate China’s Workers

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    This document is part of a digital collection provided by the Martin P. Catherwood Library, ILR School, Cornell University, pertaining to the effects of globalization on the workplace worldwide. Special emphasis is placed on labor rights, working conditions, labor market changes, and union organizing.CLW_2011_Report_China_liberate_chinas.pdf: 18 downloads, before Oct. 1, 2020

    Hydrocarbon Compounds Learning Application

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    Hydrocarbons are the simplest class of carbon compounds. Hydrocarbons consist only of the elements carbon (C) and hydrogen (H). Although it only consists of two elements, hydrocarbons are a large compound. It is also one of the most important sources of energy on earth. The main use is as a fuel source. In its solid form, hydrocarbons are one of the asphalt-forming compositions. By seeing the importance of learning hydrocarbons, we made a mobile application to facilitate student learning. There are some learning material about hydrocarbon. User are confronted with hydrocarbon compounds and they are asked to answer the compound�s name. User also opposed with a hydrocarbon�s name and they are asked to draw the compounds

    Museum Visitor Activity Tracker using Indoor Positioning System

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    Tourism is one of the sources of state revenue that has enormous potential, especially for developing countries. One of the great tourism potential is the museum. In displaying the artifacts and their information the museum manager has difficulty in recognizing the behavior of museum visitors such as the route chosen in seeing the artifacts presented, how long they have been at a location, what artifacts are of their interest, etc. This is quite difficult to do, especially with the many artifacts that exist in a museum. This research created an activity tracker system for museum visitors using the Indoor Positioning System by utilizing Bluetooth Low Energy (BLE) beacons. Signals from BLE beacons detected by museum visitors smartphones are used as a reference to estimate the location of visitors using the trilateration method and the Kalman filter. This location data is then stored in a server to be information of the movement of visitors in the museum. Based on this information, museum managers can find out which locations are often / rarely visited by visitors and how long visitors spend at that particular location. According to the distance error testing that compare real location and calculation position, it shows that the average error distance is around 114.35 cm. So, it can be concluded that the information obtained is sufficient to represent the position of the museum visitor

    Server Scalability Using Kubernetes

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    An enterprise that has implemented virtualization can consolidate multiple servers into fewer host servers and get the benefits of reduced space, power, and administrative requirements. Sharing their hosts’ operating system resources, containerization significantly reduces workloads, and is known as a lightweight virtualization. Kubernetes is commonly used to automatically deploy and scale application containers. The scalability of these application containers can be applied to Kubernetes with several supporting parameters. It is expected that the exploitation of scalability will improve performance and server response time to users without reducing server utility capabilities. This research focuses on applying the scalability in Kubernetes and evaluating its performance on overcoming the increasing number of concurrent users accessing academic data. This research employed 3 computers: one computer as the master node and two others as worker nodes. Simulations are performed by an application that generates multiple user behaviors accessing various microservice URLs. Two scenarios were designed to evaluate the CPU load on single and multiple servers. On multiple servers, the server scalability was enabled to serve the user requests. Implementation of scalability to the containers (on multiple servers) reduces the CPU usage pod due to the distribution of loads to containers that are scattered in many workers. Besides CPU load, this research also measured the server’s response time in responding user requests. Response time on multiple servers takes longer time than that on single server due to the overhead delay of scaling container

    Thin times and random times' decomposition

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    The paper studies thin times which are random times whose graph is contained in a countable union of the graphs of stopping times with respect to a reference filtration F\mathbb F. We show that a generic random time can be decomposed into thin and thick parts, where the second is a random time avoiding all F\mathbb F-stopping times. Then, for a given random time τ\tau, we introduce Fτ{\mathbb F}^\tau, the smallest right-continuous filtration containing F\mathbb F and making τ\tau a stopping time, and we show that, for a thin time τ\tau, each F\mathbb F-martingale is an Fτ{\mathbb F}^\tau-semimartingale, i.e., the hypothesis (H′)({\mathcal H}^\prime) for (F,Fτ)(\mathbb F, {\mathbb F}^\tau) holds. We present applications to honest times, which can be seen as last passage times, showing classes of filtrations which can only support thin honest times, or can accommodate thick honest times as well
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