58 research outputs found
Fast Detection of Curved Edges at Low SNR
Detecting edges is a fundamental problem in computer vision with many
applications, some involving very noisy images. While most edge detection
methods are fast, they perform well only on relatively clean images. Indeed,
edges in such images can be reliably detected using only local filters.
Detecting faint edges under high levels of noise cannot be done locally at the
individual pixel level, and requires more sophisticated global processing.
Unfortunately, existing methods that achieve this goal are quite slow. In this
paper we develop a novel multiscale method to detect curved edges in noisy
images. While our algorithm searches for edges over a huge set of candidate
curves, it does so in a practical runtime, nearly linear in the total number of
image pixels. As we demonstrate experimentally, our algorithm is orders of
magnitude faster than previous methods designed to deal with high noise levels.
Nevertheless, it obtains comparable, if not better, edge detection quality on a
variety of challenging noisy images.Comment: 9 pages, 11 figure
THE DECLINING PRICE PARADOX OF NEW TECHNOLOGIES
The declining prices of new technology products often results in
a tendency for many decision makers to wait for lower prices, and
to postpone a capital investment.
This paper makes a distinction between the prices of technology
elements and the prices of components and systems. There are
many cases where the price reduction over time applies only to
some elements of the system, while the total price of the
improved system remains almost the same. For those cases, a
DECLINING PRICE PARADOX is spelled out. The Paradox suggests
that the more the price of the investment is subject to future
reduction, the more urgent it is to invest in this technology.
The paper incorporates learning considerations in the investment
decision making, and states the conditions where the paradox
applies.Information Systems Working Papers Serie
ORTHOGONAL INFORMATION STRUCTURES: A MODEL TO EVALUATE THE INFORMATION PROVIDED BY A SECOND OPINION
The paper discusses the value of information when a number
of independent sources provide information related to a
common set of states of nature.
The starting point is the Information Economic model of
Information Structures. The model is augmented to represent
independence of informational sources by means of
orthogonality of the information structures.
A new mathematical operator, orthogonal product, is defined
and its properties are probed. It is shown that this
operator maintains some mathematical properties such as
closure, association, unity element, null element, etc. It
is demonstrated how the orthogonal product represents the
notion of multi-source information.
The paper proves that an orthogonal product is generally
more informative than its multipliers, namely, if cost is
not considered a constraining factor, then there is a nonnegative
value to obtaining a second opinion.
The paper concludes with a numerical example and a
discussion on the applicability of the model of
orthogonality.Information Systems Working Papers Serie
OPTIMAL SCHEDULING OF PURCHASING ORDERS FOR LARGE PROJECTS
The completion of a typical project hinges upon receiving all the purchased components by the
time they are scheduled to be used. Some of these components may have long stochastic lead
times, so the project manager is tempted to order them ASAP, to avoid the (usual) high penalties
associated with delays. (The penalties may be tangible or intangible, but we assume that they
can be measured by monetary units.) This in turn may bring about excessive inventory holding
costs. Clearly an optimization is called for to minimize the total expected cost of the project.
This is achieved by timing the orders optimally, for the one component case as well as for the n
component general case.Information Systems Working Papers Serie
A DECISION SUPPORT SYSTEM FOR PURCHASING MANAGEMENT OF LARGE PROJECTS
This paper describes a model base Decision Support
System (DSS) for purchasing materials and components
for large projects. The DSS may be used under two
scenarios. Under one scenario, we have a project to
execute, and we are looking for a good way to manage
the purchasing so as to minimize the expected costs.
The decision variable under our control is when and
from whom to order each item. Under the other
scenario, we are bidding for the project, and wish to
assess the costs associated with the purchasing
decisions which we should consider before making our
bid. In both cases we take into account expected out
of pocket costs as well as lateness and/or expediting
penalties. The DSS is designed to help us choose the
best supplier for each item and schedule the placement
of the orders--decisions which are very difficult to
make well without such a model base DSS.Information Systems Working Papers Serie
THE NATURE AND BEHAVIOR OF FINANCIAL VERSUS MANUFACTURING MANAGEMENT INFORMATION SYSTEMS
Manufacturing management information systems are in a
relatively less mature state than financial information systems.
This difference in maturity is due in part, to historical
reasons, and to the complex and dynamic nature of manufacturing
system attributes. This research compares the various system
attributes belonging to manufacturing and financial information
systems. Application of inappropriate system design techniques
(based on these system attribute differences) has contributed to
the relatively high failure rate of manufacturing management
information systems. The research analyzes the need for the
development of design tools geared specifically toward
manufacturing management information systems.Information Systems Working Papers Serie
OFFICE AUTOMATION: A MANAGEMENT BY CONSTRAINTS APPROACH
Information Systems Working Papers Serie
PURCHASING AND INVENTORY MANAGEMENT IN SCENCE-BASED INDUSTRIES
Inventory Management has been widely discussed in the
literature. Recently, the so called "Just in TimeĆ¢ method
received extensive publicity and was claimed to be one of the
major factors of the Japanese industrial success. This, in turn,
promoted a large campaign in the rest of the industrialized
world, to adopt and imitate the "Just in TimeĆ¢ (JIT) policy.
Corporate and plant managers focused attention and set up goals
as to reach as closely as possible the Japanese inventory levels.
Quite often, adoption of JIT disregarded the totally different
nature of the business their companies engaged in, relative to
Japanese industry.
This paper clarifies the differences between two different
industrial models: The "Assembly LinesĆ¢ model versus the Hi-Tech
Job Shop "Science BasedĆ¢ model and prescribes the inventory
strategy appropriate for each of those models. It is shown that
a fully automated Assembly Line type factory requires a Ć¢Just in
TimeĆ¢ (minimal holding costs) inventory strategy, while the
Science Based type should follow a more elaborate Ć¢optimal
PenaltyĆ¢ type of policy.Information Systems Working Papers Serie
AN INFORMATION VALUE APPROACH TO QUALITY CONTROL
Quality Control sampling plans are normally chosen by using
industrial and military standards. These standards do not
involve economic considerations, and usually fail to meet cost
considerations.
The Information Economic approach presented in this paper
suggests an easy to use methodology which determines the optimal
plan for a given situation of a quality control Common
quality control attributes like, AQL, LTPD, Operating
Characteristics Curves and Quality Control Plans are shown as
special cases of Information Economic Models. Theorems involving
dominance among various of Quality Control plans are proved. The
Blackwell Theorem on the relationship "Generally More
InformativeĆ¢ is modified to accommodate to the Quality Control
case.
The major results of the paper include new algorithm to optimize
the expected utility of decision makers. The value of
information in Quality Control systems is assessed, and
cost/effective analysis is carried out.Information Systems Working Papers Serie
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