Decomposability and scalability in space-based observatory scheduling

In this paper, we discuss issues of problem and model decomposition within the HSTS scheduling framework. HSTS was developed and originally applied in the context of the Hubble Space Telescope (HST) scheduling problem, motivated by the limitations of the current solution and, more generally, the insufficiency of classical planning and scheduling approaches in this problem context. We first summarize the salient architectural characteristics of HSTS and their relationship to previous scheduling and AI planning research. Then, we describe some key problem decomposition techniques supported by HSTS and underlying our integrated planning and scheduling approach, and we discuss the leverage they provide in solving space-based observatory scheduling problems

State-based scheduling: An architecture for telescope observation scheduling

The applicability of constraint-based scheduling, a methodology previously developed and validated in the domain of factory scheduling, is extended to problem domains that require attendance to a wider range of state-dependent constraints. The problem of constructing and maintaining a short-term observation schedule for the Hubble Space Telescope (HST), which typifies this type of domain is the focus of interest. The nature of the constraints encountered in the HST domain is examined, system requirements are discussed with respect to utilization of a constraint-based scheduling methodology in such domains, and a general framework for state-based scheduling is presented

Constraint-based integration of planning and scheduling for space-based observatory management

Progress toward the development of effective, practical solutions to space-based observatory scheduling problems within the HSTS scheduling framework is reported. HSTS was developed and originally applied in the context of the Hubble Space Telescope (HST) short-term observation scheduling problem. The work was motivated by the limitations of the current solution and, more generally, by the insufficiency of classical planning and scheduling approaches in this problem context. HSTS has subsequently been used to develop improved heuristic solution techniques in related scheduling domains and is currently being applied to develop a scheduling tool for the upcoming Submillimeter Wave Astronomy Satellite (SWAS) mission. The salient architectural characteristics of HSTS and their relationship to previous scheduling and AI planning research are summarized. Then, some key problem decomposition techniques underlying the integrated planning and scheduling approach to the HST problem are described; research results indicate that these techniques provide leverage in solving space-based observatory scheduling problems. Finally, more recently developed constraint-posting scheduling procedures and the current SWAS application focus are summarized

Investigations into Generalization of Constraint-Based Scheduling Theories with Applications to Space Telescope Observation Scheduling

This final report summarizes research performed under NASA contract NCC 2-531 toward generalization of constraint-based scheduling theories and techniques for application to space telescope observation scheduling problems. Our work into theories and techniques for solution of this class of problems has led to the development of the Heuristic Scheduling Testbed System (HSTS), a software system for integrated planning and scheduling. Within HSTS, planning and scheduling are treated as two complementary aspects of the more general process of constructing a feasible set of behaviors of a target system. We have validated the HSTS approach by applying it to the generation of observation schedules for the Hubble Space Telescope. This report summarizes the HSTS framework and its application to the Hubble Space Telescope domain. First, the HSTS software architecture is described, indicating (1) how the structure and dynamics of a system is modeled in HSTS, (2) how schedules are represented at multiple levels of abstraction, and (3) the problem solving machinery that is provided. Next, the specific scheduler developed within this software architecture for detailed management of Hubble Space Telescope operations is presented. Finally, experimental performance results are given that confirm the utility and practicality of the approach

Distinctiveness of Highly Risky Italian Firms That are Saved-A Logistic Approach

In our paper, we use a default mode approach in order to accurately classify a sample of 3,835 Italian manufactu­ring companies, and to gauge their health status on the basis of variables taken from the financial statement. The present study is oriented to test the potentiality of salvation for firms included within the worst classes of rating. The research aims to support the resolution of an elaborate theme: the identification of both highly risky companies designed to survive despite their own class of statistical rating, and firms that will move closer to a default status. In this way, the consequences of our examination could help to recognize, among firms considered "highly risky", the latent durability on the time

Automating Mission Scheduling for Space-Based Observatories

In this paper we describe the use of our planning and scheduling framework, HSTS, to reduce the complexity of science mission planning. This work is part of an overall project to enable a small team of scientists to control the operations of a spacecraft. The present process is highly labor intensive. Users (scientists and operators) rely on a non-codified understanding of the different spacecraft subsystems and of their operating constraints. They use a variety of software tools to support their decision making process. This paper considers the types of decision making that need to be supported/automated, the nature of the domain constraints and the capabilities needed to address them successfully, and the nature of external software systems with which the core planning/scheduling engine needs to interact. HSTS has been applied to science scheduling for EUVE and Cassini and is being adapted to support autonomous spacecraft operations in the New Millennium initiative

Robot introspection through learned hidden Markov models

In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behavioural models to provide a robot with an introspective capability. We assume that the behaviour of a robot in achieving a task can be modelled as a finite stochastic state transition system. Beginning with data recorded by a robot in the execution of a task, we use unsupervised learning techniques to estimate a hidden Markov model (HMM) that can be used both for predicting and explaining the behaviour of the robot in subsequent executions of the task. We demonstrate that it is feasible to automate the entire process of learning a high quality HMM from the data recorded by the robot during execution of its task.The learned HMM can be used both for monitoring and controlling the behaviour of the robot. The ultimate purpose of our work is to learn models for the full set of tasks associated with a given problem domain, and to integrate these models with a generative task planner. We want to show that these models can be used successfully in controlling the execution of a plan. However, this paper does not develop the planning and control aspects of our work, focussing instead on the learning methodology and the evaluation of a learned model. The essential property of the models we seek to construct is that the most probable trajectory through a model, given the observations made by the robot, accurately diagnoses, or explains, the behaviour that the robot actually performed when making these observations. In the work reported here we consider a navigation task. We explain the learning process, the experimental setup and the structure of the resulting learned behavioural models. We then evaluate the extent to which explanations proposed by the learned models accord with a human observer's interpretation of the behaviour exhibited by the robot in its execution of the task

An operations and command systems for the extreme ultraviolet explorer

About 40% of the budget of a scientific spacecraft mission is usually consumed by Mission Operations & Data Analysis (MO&DA) with MO driving these costs. In the current practice, MO is separated from spacecraft design and comes in focus relatively late in the mission life cycle. As a result, spacecraft may be designed that are very difficult to operate. NASA centers have extensive MO expertise but often lessons learned in one mission are not exploited for other parallel or future missions. A significant reduction of MO costs is essential to ensure a continuing and growing access to space for the scientific community. We are addressing some of these issues with a highly automated payload operations and command system for an existing mission, the Extreme Ultraviolet Explorer (EUVE). EUVE is currently operated jointly by the Goddard Space Flight Center (GSFC), responsible for spacecraft operations, and the Center for Extreme Ultraviolet Astrophysics (CEA) of the University of California, Berkeley, which controls the telescopes and scientific instruments aboard the satellite. The new automated system is being developed by a team including personnel from the NASA Ames Research Center (ARC), the Jet Propulsion Laboratory (JPL) and the Center for EUV Astrophysics (CEA). An important goal of the project is to provide AI-based technology that can be easily operated by nonspecialists in AI. Another important goal is the reusability of the techniques for other missions. Models of the EUVE spacecraft need to be built both for planning/scheduling and for monitoring. In both cases, our modeling tools allow the assembly of a spacecraft model from separate sub-models of the various spacecraft subsystems. These sub-models are reusable; therefore, building mission operations systems for another small satellite mission will require choosing pre-existing modules, reparametrizing them with respect to the actual satellite telemetry information, and reassembling them in a new model. We briefly describe the EUVE mission and indicate why it is particularly suitable for the task. Then we briefly outline our current work in mission planning/scheduling and spacecraft and instrument health monitoring

High Doses of Ascorbate Kill Y79 Retinoblastoma Cells In vitro

Objectives: To tests the sensitivity of Y79 retinoblastoma cell lines to high doses of ascorbate, in vitro, and compare its effects with those of some chemotherapeutic agents routinely employed in the treatment of retinoblastoma. Methods: Y79 retinoblastoma cells have been exposed to increasing doses of either sodium ascorbate (SA) or Melphalan (MEL), to define a dose-response curve around the peak plasma concentrations reached by both chemicals when administered according to the existing therapeutic procedures and protocols. The assessment of cell number and viability was performed, before and after exposure, with both the manual (Trypan Blue Exclusion Test) and automated (flow cytometry) methods. Fluorescence microscopy and direct observation of cells in culture, with inverted microscope, were also performed. Results: Y79 cells are highly sensitive to the cytotoxic effect of SA, with cell viability reduced of over 90% in some experiments. As reported in the literature, this effect is directly cytotoxic and most probably mediated by acute oxidative stress on different cellular components. The same does not apply to Melphalan which, at the doses commonly used for therapeutic purposes, did not show any significant effect on cell viability, in vitro. Conclusion: To our knowledge, this is the first report showing that high doses of SA can actively kill retinoblastoma cells in vitro. While it is not surprising for SA, to show direct cytotoxic effect on tumor cells, the data reported herein represent the first evidence in favor of the possible clinical use of high doses of intravenous SA, to treat children affected by retinoblastoma. Given the many advantages of SA over the chemotherapeutic agents commonly employed to treat cancer (including its almost total absence of toxic or side effects, and its exclusive specificity for cancer cells), it is reasonable to assume, from the data reported herein, that the high doses of intravenous ascorbate, have the potential to represent a real revolution in the treatment of retinoblastoma

Una valutazione ragionata delle principali linee guida internazionali sulla farmacoterapia della schizofrenia

This review focuses on a comparative analysis on international Guidelines for the treatment of schizophrenia and, more generally, on specific literature, starting from the 2004 APA Guidelines. The first issue taken into consideration is treatment: general purpose of drug treatment is generally distinguished from specific target as well as needs of specific therapeutic practices are distinguished from theoretical aspects of optimal treatment. Guidelines refer to a global reduction in symptoms, primarily in terms of potential clinical recovery. The complexity of schizophrenia implies the need to consider different options for treatment due to the clinical phase of the disorder and other critical factors. The choice of drug treatment is thus considered as a priority in the acute phase of schizophrenia and should be considered as continuous and possibly indefinite, if the response is inadequate or there are frequent relapses over time. The definition of clinical phases of schizophrenia is linked to the chosen reference. The analysis then focuses on the pharmacological treatment of schizophrenia in its various phases, with particular reference to similarities/differences and limitations of the Guidelines. The impression given by a comparative reading of the Guidelines taken into consideration, is that of a general separation between indications for pharmacological management of schizophrenia and clinical practice, both in the acute and chronic phase. Authors then examine the general recommendations to specific drugs focusing particularly on the relationship between first and second generation antipsychotics, with an analysis of comparative efficacy and special considerations (eg, negative symptoms, cognitive symptoms, resistance); recommendations regarding antipsychotic therapy in schizophrenia and early-onset time and duration and treatment strategies are also described and commented. Particular attention is devoted to side effects and monitoring of physical health, both in terms of neurological effects (Tables II-III) and of effects on sexual (Table IV) and hepatic function. Much space is devoted to emerging issues such as metabolic syndrome, obesity, dyslipidemia, diabetes (Tables VI) and cardiovascular risk (Table VII) with emphasis on the growing awareness that many side effects, especially metabolic ones, require particular care with a multidisciplinary approach