Smart enterprise for pulp & paper mills: Data processing and reconciliation

An ad-hoc data reconciliation procedure developed for the recausticizing section of a new pulp and paper industry is presented in this work. A comprehensive model was formulated to take into account different unit operation modes. It was also extended to incorporate specific knowledge of some pieces of equipment to increase redundancy, and consequently enhance estimate precision and gross error detectability. © 2002 Elsevier B.V. All rights reserved.Fil: Sanchez, Mabel Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Leung David. Visy Pulp And Paper Pty Ltd; AustraliaFil: Konecsny Helmut. Visy Pulp And Paper Pty Ltd; AustraliaFil: Bigaran Carlo. Visy Pulp And Paper Pty Ltd; AustraliaFil: Romagnoli José. University Of Sydney; Australi

Ultracold Atom Image Analysis GUI

Ultracold atoms, or atoms that have been cooled to temperatures very near absolute zero, are used to study a variety of fundamental physics concepts. These atoms behave quantum mechanically, which means that the atoms obey a different set of rules that are well defined by the theory of quantum mechanics. We manipulate these macroscopic systems by applying time-dependent magnetic and optical fields. After completing an experiment, we use absorption imaging techniques to image how the atoms have responded to these specific experimental parameters. These images are taken with a CCD camera and are passed back into the computer interface, where they need to be uploaded and quickly analyzed. In this project, we have developed a graphical user interface (GUI) using the Tkinter package in Python, which allows custom design and programming to suit the user’s needs. For our applications, the GUI features Gaussian and Thomas-Fermi fitting functionality for atom number calibration, a zoom-in/zoom-out function to isolate the data, and automatic cross-sectional plots used to visualize the atomic density of the BEC in a two-dimensional space. In this poster, we will discuss the current status of the project as well as future directions for implementing this GUI in the lab

Modelling Cryptographic Distinguishers Using Machine Learning

Cryptanalysis is the development and study of attacks against cryptographic primitives and protocols. Many cryptographic properties rely on the difficulty of generating an adversary who, given an object sampled from one of two classes, correctly distinguishes the class used to generate that object. In the case of cipher suite distinguishing problem, the classes are two different cryptographic primitives. In this paper, we propose a methodology based on machine learning to automatically generate classifiers that can be used by an adversary to solve any distinguishing problem. We discuss the assumptions, a basic approach for improving the advantage of the adversary as well as a phenomenon that we call the “blind spot paradox”. We apply our methodology to generate distinguishers for the NIST (DRBG) cipher suite problem. Finally, we provide empirical evidence that the distinguishers might statistically have some advantage to distinguish between the DRBG used

Towards Drift Correction in Chemical Sensors Using an Evolutionary Strategy

Gas chemical sensors are strongly affected by the so-called drift, i.e., changes in sensors' response caused by poisoning and aging that may significantly spoil the measures gathered. The paper presents a mechanism able to correct drift, that is: delivering a correct unbiased fingerprint to the end user. The proposed system exploits a state-of-the-art evolutionary strategy to iteratively tweak the coefficients of a linear transformation. The system operates continuously. The optimal correction strategy is learnt without a-priori models or other hypothesis on the behavior of physical-chemical sensors. Experimental results demonstrate the efficacy of the approach on a real problem

아주 옛날 (Once Upon a Time): Koreanovelas and the Galleon Trade of the Digital Age

The evident proliferation of Korean television programs in the Philippines manifests a modern form of trade between the two countries. Though there are latent negativities, this trade brings forth a lot of positive effects between the nations involved, specifically in the modern television industry of the latter. Through the three-step copycat-piggyback-leapfrog innovation, export-quality Koreanovelas facilitate product creativity that can increase not only the quantity, but more importantly the quality, of locally-produced television goods. The presence and proliferation of Koreanovelas also challenges the local industry as it promotes competition for patronization in limited television timeslots. This competition works side-by-side with creativity. Scarce resources with desirable incentives push television stations to offer only programs that are good enough to be consumed in another country, products that are most likely of superior quality. Finally, Koreanovelas improve employment especially in the Philippine-end of the barter. The drive to produce better programs brought about by heightened creativity and competition will increase production. This, in turn, will cause television stations to employ more and better workers, improving workers and the television industry as a whole

AGN observations with a less than 100 GeV threshold using H.E.S.S. II

The recent addition of the 28 m Cherenkov telescope (CT5) to the H.E.S.S. array extended the experiment's sensitivity towards low energies. The lowest energy threshold is obtained using monoscopic observations with CT5, providing access to gamma-ray energies below 100 GeV. This is particularly beneficial for studies of Active Galactic Nuclei (AGN) with soft spectra and located at redshifts >= 0.5. Stereoscopic measurements with the full array (CT1-5) provide a better background rejection than CT5 Mono, at a cost of a higher threshold. We report on the analysis employing the CT5 data for AGN observations with a < 100 GeV threshold. In particular, the spectra of PKS 2155-304 and PG 1553+113 are presented.Comment: In Proceedings of the 34th International Cosmic Ray Conference (ICRC2015), The Hague, The Netherland

A Functional Approach for Testing the Reorder Buffer Memory

Superscalar processors may have the ability to execute instructions out-of-order to better exploit the internal hardware and to maximize the performance. To maintain the in-order instructions commitment and to guarantee the correctness of the final results (as well as precise exception management), the Reorder Buffer (ROB) is used. From the architectural point of view, the ROB is a memory array of several thousands of bits that must be tested against hardware faults to ensure a correct behavior of the processor. Since it is deeply embedded within the microprocessor circuitry, the most straightforward approach to test the ROB is through Built-In Self-Test solutions, which are typically adopted by manufacturers for end-of-production test. However, these solutions may not always be used for the test during the operational phase (in-field test) which aims at detecting possible hardware faults arising when the electronic systems works in its target environment. In fact, these solutions require the usage of test infrastructures that may not be accessible and/or documented, or simply not usable during the operational phase. This paper proposes an alternative solution, based on a functional approach, in which the test is performed by forcing the processor to execute a specially written test program, and checking the behavior of the processor. This approach can be adopted for in-field test, e.g., at the power-on, power-off, or during the time slots unused by the system application. The method has been validated resorting to both an architectural and a memory fault simulator

On the On-line Functional Test of the Reorder Buffer Memory in Superscalar Processors

The Reorder Buffer (ROB) is a key component in superscalar processors. It enables both in-order commitment of instructions and precise exception management even in those architectures that support out-of-order execution. The ROB architecture typically includes a memory array whose size may reach several thousands of bits. Testing this array may be important to guarantee the correct behavior of the processor. Proprietary BIST solutions typically adopted by manufacturers for end-of-production test are not always suitable for on-line test. In fact, they require the usage of test infrastructures that may be expensive, or may not be accessible and/or documented. This paper proposes an alternative solution, based on a functional approach, which has been validated resorting to both an architectural and a memory fault simulato

CD3+CD4+LAP+Foxp3-regulatory cells of the colonic lamina propria limit disease extension in ulcerative colitis

Background and Aims: In ulcerative colitis (UC), inflammation begins in the rectum and can extend proximally throughout the entire colon. The extension of inflammation is an important determinant of disease course, and may be limited by the action of regulatory T cells (Tregs). In this cross-sectional study, we evaluated the relationship between UC extension and the proportions of CD3+CD4+Foxp3+ and CD3+CD4+LAP+Foxp3- Tregs in the colonic lamina propria (LP) of 79 UC patients and 29 controls. The role of these cells in UC extension was also investigated in the murine oxazolone-induced colitis model. Methods: Patients: Disease extension was classified according to the Montreal classification. Where possible, endoscopic biopsies of involved and uninvolved tissue were obtained from UC patients. Mouse model: Colitis was induced by intrarectal oxazolone administration. Lamina propria mononuclear cells were isolated from patient biopsies and mouse colon tissue using enzymatic method and the percentage of CD3+CD4+Foxp3+ and CD3+CD4+LAP+Foxp3-cells evaluated by immunofluorescence. Confocal microscopy was applied for the visualization and quantification of CD4+LAP+ cells on tissue histological sections. Results: In UC patients with distal colitis the proportion of LP CD3+CD4+Foxp3+ Tregs was significantly higher in inflamed tissue than uninvolved tissue. As opposite, the proportion of LP CD3+CD4+LAP+ Tregs was significantly higher in uninvolved tissue than involved tissue. Both LP CD3+CD4+Foxp3+ and LP CD3+CD4+LAP+ Tregs proportion in involved tissue was significantly higher than in controls irrespective of the extension of inflammation. In mice with oxazolone-induced distal colitis, treatment with LAP-depleting antibody was associated with the development of extensive colitis. Conclusions: Our findings suggest that CD3+CD4+LAP+Foxp3-Tregs limit the extension of inflammatory lesions in UC patients

PSP Framework: A novel risk assessment method in compliance with ISO/SAE-21434

As more cars connect to the internet and other devices, the automotive market has become a lucrative target for cyberattacks. This has made the industry more vulnerable to security threats. As a result, car manufacturers and governments are working together to reduce risks and prevent cyberattacks in the automotive sector. However, existing attack feasibility models derived from the information technology field may not always provide accurate assessments of the potential risks faced by Vehicle Electronic Control Units in different operating conditions and domains. This paper introduces the PUNCH Softronix and Politecnico di Torino (PSP) framework to address this issue. This framework is designed to provide accurate assessments compatible with the attack feasibility models defined by the automotive product security standards. The PSP framework utilizes social sentiment analysis to evaluate the real threat risk levels