Common spaceborne multicomputer operating system and development environment

A preliminary technical specification for a multicomputer operating system is developed. The operating system is targeted for spaceborne flight missions and provides a broad range of real-time functionality, dynamic remote code-patching capability, and system fault tolerance and long-term survivability features. Dataflow concepts are used for representing application algorithms. Functional features are included to ensure real-time predictability for a class of algorithms which require data-driven execution on an iterative steady state basis. The development environment supports the development of algorithm code, design of control parameters, performance analysis, simulation of real-time dataflow applications, and compiling and downloading of the resulting application

Identification of Regional Fundamental Economic Structure (FES) of India: An Input-Output and Field of Influence Approach

This study provides an understanding of the Indian regional economy utilizing the fundamental economic structure (FES) approach. The FES construct implies that selected characteristics of an economy will vary predictably with region size, as measured by net state domestic product, population, and total gross output. The big question addressed in this study is if identifiable patterns of relations between various macro aggregates and economic transactions can be revealed via regional input-output tables. Jensen et al. (1988) discuss the tiered, partitioned, and temporal approaches to the identification of FES using input-output tables. This research addresses the following four questions: (1) Does a regional FES exist for the Indian economy during the period 1965? (2) What proportions of the cells are predictable? (3) Can the 1965 regional FES predict 1983-84 table for Punjab economy? (4) Does regional FES manifest an enhanced understanding of the Indian regional structure? Regression analyses are used to identify the FES and non-FES cells for the Indian regional economy. The regional input-output tables for 21 States and Union Territories provide data for the analysis. Analysis reveals regional FES includes primary and secondary sectors as components of FES. This research has extended the notion of FES to include: weak, moderate and strong FES cells.regions, economic structure, input-output, India

FUNDAMENTAL ECONOMIC STRUCTURE AND STRUCTURAL CHANGE IN REGIONAL ECONOMIES: A METHODOLOGICAL APPROACH

Regional economic structure is defined as the composition and patterns of various components of the regional economy such as: produc-tion, employment, consumption, trade, and gross regional product. Structur-al change is conceptualized as the change in relative importance of the aggregate indicators of the economy. The process of regional development and structural change are intertwined, implying as economic development takes place the strength and direction of intersectoral relationships change leading to shifts in the importance, direction and interaction of economic sectors such as: primary, secondary, tertiary, quaternary and quinary sec-tors. The fundamental economic structure (FES) concept implies that selected characteristics of an economy will vary predictably with region size. The identification of FES leads to an improved understanding of the space-time evolution of regional economic activities at different geograph-ical scales. The FES based economic activities are predictable, stable and important. This paper reviews selected themes in manifesting an improved understanding of the relationship among intersectoral transactions and economic size leading to the identification of FES. The following four ques-tions are addressed in this paper: (1) What are the relationships among sector composition and structural change in the process of economic devel-opment? (2) What are the approaches utilized to study structural change analysis? (3) Can a methodology be developed to identify FES for regional economies? (4) Would the identification of FES manifest an improved con-ception of the taxonomy of economies?STRUCTURAL CHANGE AND FUNDAMENTAL ECONOMIC STRUCTURE

Morphological Productivity in the Lexicon

In this paper we outline a lexical organization for Turkish that makes use of lexical rules for inflections, derivations, and lexical category changes to control the proliferation of lexical entries. Lexical rules handle changes in grammatical roles, enforce type constraints, and control the mapping of subcategorization frames in valency-changing operations. A lexical inheritance hierarchy facilitates the enforcement of type constraints. Semantic compositions in inflections and derivations are constrained by the properties of the terms and predicates. The design has been tested as part of a HPSG grammar for Turkish. In terms of performance, run-time execution of the rules seems to be a far better alternative than pre-compilation. The latter causes exponential growth in the lexicon due to intensive use of inflections and derivations in Turkish.Comment: 10 pages LaTeX, {lingmacros,avm,psfig}.sty, 1 figure, 1 bibtex fil

The Abnormal Performance of Bond Returns

This article studies the link between the predictability of futures returns and the business cycle. Modelling the relationship between the variation through time in expected futures returns and economic activity should give us some insight as to whether the predictable movements in futures returns result from rational variation in the returns required by investors over time. With this in mind, the paper investigates three hypotheses that are consistent with weak-form market efficiency. First, it tests whether the time-varying risk premia identified in futures markets move in tandem. Second, it examines if the information variables predict futures returns because of their ability to proxy for change in the business cycle. Third, it analyses whether the pattern of forecastability in futures markets is consistent with the evidence from the stock and bond markets and with traditional theoretical explanations of the trade-off between risk and expected returns.Predictability, Business cycle, countercyclical and procyclical futures

Predictability of just in time compilation

The productivity of embedded software development is limited by the high fragmentation of hardware platforms. To alleviate this problem, virtualization has become an important tool in computer science; and virtual machines are used in a number of subdisciplines ranging from operating systems to processor architecture. The processor virtualization can be used to address the portability problem. While the traditional compilation flow consists of compiling program source code into binary objects that can natively executed on a given processor, processor virtualization splits that flow in two parts: the first part consists of compiling the program source code into processor-independent bytecode representation; the second part provides an execution platform that can run this bytecode in a given processor. The second part is done by a virtual machine interpreting the bytecode or by just-in-time (JIT) compiling the bytecodes of a method at run-time in order to improve the execution performance. Many applications feature real-time system requirements. The success of real-time systems relies upon their capability of producing functionally correct results within dened timing constraints. To validate these constraints, most scheduling algorithms assume that the worstcase execution time (WCET) estimation of each task is already known. The WCET of a task is the longest time it takes when it is considered in isolation. Sophisticated techniques are used in static WCET estimation (e.g. to model caches) to achieve both safe and tight estimation. Our work aims at recombining the two domains, i.e. using the JIT compilation in realtime systems. This is an ambitious goal which requires introducing the deterministic in many non-deterministic features, e.g. bound the compilation time and the overhead caused by the dynamic management of the compiled code cache, etc. Due to the limited time of the internship, this report represents a rst attempt to such combination. To obtain the WCET of a program, we have to add the compilation time to the execution time because the two phases are now mixed. Therefore, one needs to know statically how many times in the worst case a function will be compiled. It may be seemed a simple job, but if we consider a resource constraint as the limited memory size and the advanced techniques used in JIT compilation, things will be nasty. We suppose that a function is compiled at the rst time it is used, and its compiled code is cached in limited size software cache. Our objective is to find an appropriate structure cache and replacement policy which reduce the overhead of compilation in the worst case

What drives the relevance and quality of experts' adjustment to model-based forecasts?

Experts frequently adjust statistical model-based forecasts. Sometimes this leads to higher forecast accuracy, but expert forecasts can also be dramatically worse. We explore the potential drivers of the relevance and quality of experts' added knowledge. For that purpose, we examine a very large database covering monthly forecasts for pharmaceutical products in seven categories concerning thirty-five countries. The extensive results lead to two main outcomes which are (1) that more balance between model and expert leads to more relevance of the added value of the expert and(2) that smaller-sized adjustments lead to higher quality, although sometimes very large adjustments can be beneficial too. In general, too much input of the expert leads to a deterioration of the quality of the final forecast.expert forecasts;judgemental adjustment