Spectral Graph Analysis for Process Monitoring

Process monitoring is a fundamental task to support operator decisions under ab- normal situations. Most process monitoring approaches, such as Principal Components Analysis and Locality Preserving Projections, are based on dimensionality reduction. In this paper Spectral Graph Analysis Monitoring (SGAM) is introduced. SGAM is a new process monitoring technique that does not require dimensionality reduction techniques. The approach it is based on the spectral graph analysis theory. Firstly, a weighted graph representation of process measurements is developed. Secondly, the process behavior is parameterized by means of graph spectral features, in particular the graph algebraic connectivity and the graph spectral energy. The developed methodology has been illustrated in autocorrelated and non-linear synthetic cases, and applied to the well known Tennessee Eastman process benchmark with promising results.Fil: Musulin, Estanislao. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentin

Sensor Selection and Optimization for Health Assessment of Aerospace Systems

Aerospace systems are developed similarly to other large-scale systems through a series of reviews, where designs are modified as system requirements are refined. For space-based systems few are built and placed into service. These research vehicles have limited historical experience to draw from and formidable reliability and safety requirements, due to the remote and severe environment of space. Aeronautical systems have similar reliability and safety requirements, and while these systems may have historical information to access, commercial and military systems require longevity under a range of operational conditions and applied loads. Historically, the design of aerospace systems, particularly the selection of sensors, is based on the requirements for control and performance rather than on health assessment needs. Furthermore, the safety and reliability requirements are met through sensor suite augmentation in an ad hoc, heuristic manner, rather than any systematic approach. A review of the current sensor selection practice within and outside of the aerospace community was conducted and a sensor selection architecture is proposed that will provide a justifiable, dependable sensor suite to address system health assessment requirements

Case report: Low dose dexmedetomidine infusion for the management of hypoglycemia in a dog with an insulinoma

ObjectiveTo describe the use of a low dose dexmedetomidine infusion as preoperative treatment for hypoglycemia secondary to a functional pancreatic tumor in a dog.Case summaryAn 8.7-year-old castrated male Hungarian Vizsla presented for further evaluation of persistent hypoglycemia after the referring veterinarian established a tentative diagnosis of insulinoma based on paired insulin and glucose measurements. Abdominal ultrasound and computed tomography demonstrated evidence of a pancreatic mass with possible hepatic metastases. Attempts to aspirate the lesions under ultrasound guidance were unsuccessful, and the dog was hospitalized overnight for planned surgical resection of the presumed pancreatic tumor and biopsy of the hepatic lesions the following day. In response to a progressive increase in patient anxiety and agitation trazodone was prescribed ~5 mg/kg orally every 8 h and gabapentin at ~7 mg/kg every 8 h. As the dog continued to remain anxious dexmedetomidine at a dose of 1 mcg/kg was administered intravenously immediately followed with an infusion of dexmedetomidine at 1 mcg/kg/h. The anxious behaviors were successfully controlled with minimal cardiovascular side effects. Serial blood glucose measurements obtained during this time demonstrated euglycemia. The dog remained euglycemic while receiving dexmedetomidine for the remainder of the pre-operative period and for duration of hospitalization following surgical resection and biopsy.New or unique information providedThis case report demonstrates a possible role for dexmedetomidine to counteract hypoglycemia in dogs with insulinomas

Waratah Seed-1: Australia\u27s First Commercial Ride Share Satellite

In this paper, we report on a 6U CubeSat named Waratah Seed-1, designed by the ARC Training Centre for CubeSats, UAVs, and their Applications (CUAVA) and partners under the Waratah Seed project. Waratah Seed is a pilot Space Qualification Mission initiated under the NSW Government\u27s Space Industry Development Strategy with partial funding from Investment NSW. The goal of the mission is to allow NSW and Australian space industry groups to test their technology in space by flying on a 6U ride-share CubeSat. This project is the first of its kind in Australia, allowing space-tech start-ups and other groups to access a satellite spaceflight to test payloads at an inexpensive rate and in a more accessible way. The mission will help overcome one of the key barriers to gaining space flight heritage and should help accelerate the development of the Australian space ecosystem. The design of the WS-1 Satellite bus is based on its predecessor, the 3U CUAVA-1 CubeSat, and its sister 6U spacecraft CUAVA-2. The main payloads are a GPS reflectometry payload from UNSW and partners and a thermal management payload from UTS in collaboration with Mawson Rovers and Spiral Blue. Furthermore, there will be one edge computing payload from Spiral Blue, two solar cell test payloads, one each by Euroka Power and Extraterrestrial Power, a material test payload by Dandelions, a tactile, force, and torque sensor test payload by Sperospace and Contactile, an electropermanent magnetotorquer from DenebSpace and a space debris and plasma environment instrument from CUAVA and the University of Sydney. The satellite is scheduled for launch in July 2024 via SpaceX\u27s Transporter 11