This paper describes our work on a new automatic indexing technique for large one-dimensional (1D) or time-series data. The principal idea of the proposed time-series data indexing method is to encode the shape of time-series into an alphabet of characters and then to treat them as text. As far as we know this is a novel approach to 1D data indexing. In this paper we report our results in using the proposed indexing method for retrieval of real-life time-series data by its content.

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We propose a distributed deadlock detection algorithm for distributed computer systems. We consider two types of resources, depending on whether the remote resource lock granularity and mode can or cannot be determined without access to the remote resource site. We present the algorithm, its performance analysis, and an informal argument about its correctness. The proposed algorithm has a hierarchical design intended to detect the most frequent deadlocks with maximum efficiency.

This paper describes investigation of human face recognition using neuml networks. The investigation is the ba3is for retrieval and management of human face images stored in the database. We feel that such database is similar to FBI or many other law enforcement agencies databases. The goal of our investigation is twofold. First, assuming that we have an ezisting database of the front face and profile images, we want to know whether the neuml network tmined on front image and the profile can recognize any other images of the same person. Second, we want to find the minimal set of snapshots of each person, consisting of at least the front face and profile, which are needed to train a neuml network so that the tmined network can then recognize many other snapshots of the same person. The paper also discusses the research prototype of a postrelational DBMS CHINOOK being implemented at the University of Colomdo at Colomdo Springs. CHINOOK is intended to manage databases of digitized images and digitized onedimensional data as well as tezt and tables. CHINOOK is intended to support the retrieval of images by their content.

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