Systems analysis methodology for large scale systems

The objective is to develop a systematic approach for defining and evaluating alternative strategies for developing data processing and management systems. Various techniques and systems engineering tools are integrated to develop and present to the analysts and users an early definition of services desired along with probable and compatible operations concepts. Information is presented in the form of outlines, graphs and charts

Space Network Control Conference on Resource Allocation Concepts and Approaches

The results are presented of the Space Network Control (SNC) Conference. In the late 1990s, when the Advanced Tracking and Data Relay Satellite System is operational, Space Network communication services will be supported and controlled by the SNC. The goals of the conference were to survey existing resource allocation concepts and approaches, to identify solutions applicable to the Space Network, and to identify avenues of study in support of the SNC development. The conference was divided into three sessions: (1) Concepts for Space Network Allocation; (2) SNC and User Payload Operations Control Center (POCC) Human-Computer Interface Concepts; and (3) Resource Allocation Tools, Technology, and Algorithms. Key recommendations addressed approaches to achieving higher levels of automation in the scheduling process

COBE's search for structure in the Big Bang

The launch of Cosmic Background Explorer (COBE) and the definition of Earth Observing System (EOS) are two of the major events at NASA-Goddard. The three experiments contained in COBE (Differential Microwave Radiometer (DMR), Far Infrared Absolute Spectrophotometer (FIRAS), and Diffuse Infrared Background Experiment (DIRBE)) are very important in measuring the big bang. DMR measures the isotropy of the cosmic background (direction of the radiation). FIRAS looks at the spectrum over the whole sky, searching for deviations, and DIRBE operates in the infrared part of the spectrum gathering evidence of the earliest galaxy formation. By special techniques, the radiation coming from the solar system will be distinguished from that of extragalactic origin. Unique graphics will be used to represent the temperature of the emitting material. A cosmic event will be modeled of such importance that it will affect cosmological theory for generations to come. EOS will monitor changes in the Earth's geophysics during a whole solar color cycle

BioBusiness Resource Network

The BioBusiness Resource Network is one of three strategic initiatives of the BioBusiness Alliance of Minnesota (BBAM). The goal is to make doing business in Minnesota a pleasant and rewarding experience. The BioBusiness Resource Network is committed to supporting bioscience companies as they seek to relocate, start-up or expand in Minnesota. The BBAM is conducting a state-wide inventory of bioscience capabilities. There are two phases to the inventory: a high level inventory of bioscience capabilities and an in-depth inventory of local assets using the asset-based community development (ABCD) framework. The goal of the high level inventory is to create a database and visualization tool that will be used to market Minnesota's boscience capabilities. The high level inventory process will yield the data points of companies, academic institutions, and nonprofit or other organizations that either work in or support the bioscience industry. The goal of the ABCD process is to better understand the assets and capacity that exist across the state to support the biosceinces. The report summarizes the student research process and findings.Prepared in partnership with the Biobusiness Alliance of Minnesota and the Southern Minnesota Initiative Foundation by the Community Assistantship Program (CAP), administered by the Center for Urban and Regional Affairs (CURA) at the University of Minnesota

Two-sided heterogeneity and trade

This paper develops a multi-country model of international trade that provides a simple microfoundation for buyer-seller relationships in trade. We explore a rich dataset that identifies buyers and sellers in trade and establish a set of basic facts that guide the development of the theoretical model. We use predictions of the model to examine the role of buyer heterogeneity in a market for firm-level adjustments to trade shocks, as well as to quantitatively evaluate how firms’ marginal costs depend on access to suppliers in foreign markets

Globalization: a woman’s best friend? Exporters andthe gender wage gap

While the impact of globalization on income inequality has received a lot of attention, little is known about its effect on the gender wage gap (GWG). This study argues that there is a systematic difference in the GWG between exporting firms and non-exporters. By the virtue of being exposed to higher competition, exporters require greater commitment and flexibility from their employees. If commitment is not easily observable and women are perceived as less committed workers than men, exporters will statistically discriminate against female employees and will exhibit a higher GWG than non-exporters. We test this hypothesis using matched employer-employee data from the Norwegian manufacturing sector from 1996 to 2010. Our identification strategy relies on an exogenous shock, namely, the legislative changes that increased the length of the parental leave that is available only to fathers. We argue that these changes have narrowed the perceived commitment gap between the genders and show that the initially higher GWG observed in exporting firms relative to nonexporters has gone down after the changes took place

Scheduling the future NASA Space Network: Experiences with a flexible scheduling prototype

NASA's Space Network (SN) provides telecommunications and tracking services to low earth orbiting spacecraft. One proposal for improving resource allocation and automating conflict resolution for the SN is the concept of flexible scheduling. In this concept, each Payload Operations Control Center (POCC) will possess a Space Network User POCC Interface (SNUPI) to support the development and management of flexible requests. Flexible requests express the flexibility, constraints, and repetitious nature of the user's communications requirements. Flexible scheduling is expected to improve SN resource utilization and user satisfaction, as well as reduce the effort to produce and maintain a schedule. A prototype testbed has been developed to better understand flexible scheduling as it applies to the SN. This testbed consists of a SNUPI workstation, an SN scheduler, and a flexible request language that conveys information between the two systems. All three are being evaluated by operations personnel. Benchmark testing is being conducted on the scheduler to quantify the productivity improvements achieved with flexible requests

Strapped for cash: the role of financial constraints for innovating firms

This paper makes use of a reform that allowed firms to use patents as stand-alone collateral, to estimate the magnitude of collateral constraints and to quantify the aggregate impact of these constraints on misallocation and productivity. Using matched firm-bank data for Norway, we find that bank borrowing increased for firms affected by the reform relative to the control group. We also find an increase in the capital stock, employment and innovation as well as equity funding. We interpret the results through the lens of a model of monopolistic competition with potentially collateral constrained heterogeneous firms. Parameterizing the model using well-identified moments from the reduced form exercise, we find quantitatively large gains in output per worker in the sectors in the economy dominated by constrained (and intangible-intensive) firms. The gains are primarily driven by capital deepening, whereas within-industry misallocation plays a smaller role

Space network scheduling benchmark: A proof-of-concept process for technology transfer

This paper describes a detailed proof-of-concept activity to evaluate flexible scheduling technology as implemented in the Request Oriented Scheduling Engine (ROSE) and applied to Space Network (SN) scheduling. The criteria developed for an operational evaluation of a reusable scheduling system is addressed including a methodology to prove that the proposed system performs at least as well as the current system in function and performance. The improvement of the new technology must be demonstrated and evaluated against the cost of making changes. Finally, there is a need to show significant improvement in SN operational procedures. Successful completion of a proof-of-concept would eventually lead to an operational concept and implementation transition plan, which is outside the scope of this paper. However, a high-fidelity benchmark using actual SN scheduling requests has been designed to test the ROSE scheduling tool. The benchmark evaluation methodology, scheduling data, and preliminary results are described

Intelligent Observation Strategies for Geosynchronous Remote Sensing for Natural Hazards

Geosynchronous satellites offer a unique perspective for monitoring environmental factors important to understanding natural hazards and supporting the disasters management life cycle, namely forecast, detection, response, recovery and mitigation. In the NASA decadal survey for Earth science, the GEO-CAPE mission was proposed to address coastal and air pollution events in geosynchronous orbit, complementing similar initiatives in Asia by the South Koreans and by ESA in Europe, thereby covering the northern hemisphere. In addition to analyzing the challenges of identifying instrument capabilities to meet the science requirements, and the implications of hosting the instrument payloads on commercial geosynchronous satellites, the GEO-CAPE mission design team conducted a short study to explore strategies to optimize the science return for the coastal imaging instrument. The study focused on intelligent scheduling strategies that took into account cloud avoidance techniques as well as onboard processing methods to reduce the data storage and transmission loads. This paper expands the findings of that study to address the use of intelligent scheduling techniques and near-real time data product acquisition of both the coastal water and air pollution events. The topics include the use of onboard processing to refine and execute schedules, to detect cloud contamination in observations, and to reduce data handling operations. Analysis of state of the art flight computing capabilities will be presented, along with an assessment of cloud detection algorithms and their performance characteristics. Tools developed to illustrate operational concepts will be described, including their applicability to environmental monitoring domains with an eye to the future. In the geostationary configuration, the payload becomes a networked thing with enough connectivity to exchange data seamlessly with users. This allows the full field of view to be sensed at very high rate under the control of ground infrastructure, resulting in improved efficiencies, accuracy and science benefits. Hence a remote sensing payload and its data may become one of millions of connected objects in the emerging Internet of Things (IoT), and be as easily accessible by a users smart phone as any other smart appliance