Information Access Patterns of Faculty in Arts and Sciences Colleges in Chidambaram

The term “user study” focuses on information use patterns, information needs, and information-seeking behaviour. Information- seeking behaviour and information access patterns are areas of active interest among librarians and information scientists. This article reports on a study of the information requirements, usefulness of library resources and services, and problems encountered by faculty members of two arts and science colleges, Government Arts & Science College and Sri Raghavendra Arts & Science College, Chidambaram.

Hierarchy-Based Access Control in Distributed Environments

Access control is a fundamental concern in any system that manages resources, e.g., operating systems, file systems, databases and communications systems. The problem we address is how to specify, enforce, and implement access control in distributed environments. This problem occurs in many applications such as management of distributed project resources, e-newspaper and payTV subscription services. Starting from an access relation between users and resources, we derive a user hierarchy, a resource hierarchy, and a unified hierarchy. The unified hierarchy is then used to specify the access relation in a way that is compact and that allows efficient queries. It is also used in cryptographic schemes that enforce the access relation. We introduce three specific cryptography based hierarchical schemes, which can effectively enforce and implement access control and are designed for distributed environments because they do not need the presence of a central authority (except perhaps for set- UP).

Initial Development of a Web-Based Tool to Increase Hunter Harvest of Female Ungulates

Landowners and agencies have expressed difficulty finding hunters willing to harvest the female portion of the ungulate populations, and likewise, hunters have expressed difficulty achieving access to private lands. Since 2003, the Montana “DoeCowHunt” website (www.doecowhunt.montana.edu) has provided an avenue to improve hunter-landowner contact and wild ungulate population management. A product of Montana State University Extension Wildlife Program, this website provides a means for hunters and landowners in Montana to contact each other by listing contact information (email address, physical address, and telephone number) for the purpose of harvesting antlerless ungulates. In the first year over 10,000 users visited the site. Of those who actually registered, 11 were landowners and 1334 were hunters. An evaluation survey resulted in a 40% response rate. The survey indicated the average registered landowner had 20 hunter contacts. Many landowners contacted hunters through use of the website but did not register or list their contact information on the site.

JVM-based Techniques for Improving Java Observability

Observability measures the support of computer systems to accurately capture, analyze, and present (collectively observe) the internal information about the systems. Observability frameworks play important roles for program understanding, troubleshooting, performance diagnosis, and optimizations. However, traditional solutions are either expensive or coarse-grained, consequently compromising their utility in accommodating today’s increasingly complex software systems. New solutions are emerging for VM-based languages due to the full control language VMs have over program executions. Existing such solutions, nonetheless, still lack flexibility, have high overhead, or provide limited context information for developing powerful dynamic analyses. In this thesis, we present a VM-based infrastructure, called marker tracing framework (MTF), to address the deficiencies in the existing solutions for providing better observability for VM-based languages. MTF serves as a solid foundation for implementing fine-grained low-overhead program instrumentation. Specifically, MTF allows analysis clients to: 1) define custom events with rich semantics ; 2) specify precisely the program locations where the events should trigger; and 3) adaptively enable/disable the instrumentation at runtime. In addition, MTF-based analysis clients are more powerful by having access to all information available to the VM. To demonstrate the utility and effectiveness of MTF, we present two analysis clients: 1) dynamic typestate analysis with adaptive online program analysis (AOPA); and 2) selective probabilistic calling context analysis (SPCC). In addition, we evaluate the runtime performance of MTF and the typestate client with the DaCapo benchmarks. The results show that: 1) MTF has acceptable runtime overhead when tracing moderate numbers of marker events; and 2) AOPA is highly effective in reducing the event frequency for the dynamic typestate analysis; and 3) language VMs can be exploited to offer greater observability.