Computer Sciencehttp://hdl.handle.net/10311/682024-03-28T08:45:56Z2024-03-28T08:45:56ZA tag-like, linked navigation approach for retrieval and discovery of desktop documentsMosweunyane, GontlafetseCarr, LeslieGibbins, Nicholashttp://hdl.handle.net/10311/13642016-08-13T00:21:16Z2011-01-01T00:00:00ZA tag-like, linked navigation approach for retrieval and discovery of desktop documents
Mosweunyane, Gontlafetse; Carr, Leslie; Gibbins, Nicholas
Computer systems provide users with abilities to create, organize, store and access information. Most of this information is in the form of documents in files organized in the hierarchical folder structures provided by operating systems. Operating system-provided access is mainly through structure- guided navigation, and through keyword search. An investigation with regard to access and utilization of these documents revealed a need to reconsider these navigation methods. An improved method of access to these documents is proposed based on previous effective metadata use in search system-retrieval and annotation systems. The underlying organization is based on a model for navigation whereby documents are represented using index terms and associations between them exposed to create a linked, similarity-based navigation structure. Evaluation of an interface instantiating this approach suggests it can reduce the user’s cognitive load and enable efficient and effective retrieval while also providing cues for discovery and recognition of associations between documents.
2011-01-01T00:00:00ZAssessing acceptance of adaptive educational hypermedia systems: prior knowledge vs. cognitive stylesMampadi, F.http://hdl.handle.net/10311/11722016-08-13T00:18:58Z2012-01-01T00:00:00ZAssessing acceptance of adaptive educational hypermedia systems: prior knowledge vs. cognitive styles
Mampadi, F.
Perceived usefulness and ease of use have proved to be key
determinants of the acceptance and usage of e-learning
systems. On the contrary, little is known about students'
perceptions in Adaptive Educational Hypermedia Systems
(AEHS). In this paper, the Technology Acceptance Model
(TAM) was utilized to investigate university students‟
attitudes towards AEHSs. The goal of the study was to
investigate whether students‟ perceptions towards AEHS that adapts basing on cognitive styles were comparable to
perceptions of students using AEHS that adapts basing on prior knowledge. This is part of a project to determine how
prior knowledge and cognitive styles could be combined in
AEHS to maximize learning and comprehension of
educational materials. To this end, the study presented in this paper developed two AEHSs, one tailored to students' prior knowledge while the other to their cognitive styles
with emphasis on Holist-Serialist dimension. Comparative effects of using the two systems employing perceptions and
attitudes as a measure were then investigated. In total, 104 students participated in the study, 60 students using the prior knowledge version while 44 participated on the
cognitive styles version. The findings indicate that students using the cognitive styles version had more positive
attitudes and perceptions towards their version than those who used the prior knowledge version. The implications of
these results for the design of effective AEHSs combining prior knowledge and cognitive styles are discussed.
2012-01-01T00:00:00ZAnalyzing the load balance of term-based partitioningAbusukhon, A.Talib, M.http://hdl.handle.net/10311/10682016-08-13T00:19:32Z2011-01-01T00:00:00ZAnalyzing the load balance of term-based partitioning
Abusukhon, A.; Talib, M.
In parallel (IR) systems, where a large-scale collection
is indexed and searched, the query response time is limited by the
time of the slowest node in the system. Thus distributing the load equally across the nodes is very important issue. Mainly there are two methods for collection indexing, namely document-based and
term-based indexing. In term-based partitioning, the terms of the
global index of a large-scale data collection are distributed or
partitioned equally among nodes, and then a given query is divided into sub-queries and each sub-query is then directed to the relevant node. This provides high query throughput and
concurrency but poor parallelism and load balance. In this paper, we introduce new methods for terms partitioning and
then we compare the results from our methods with the results from the previous work with respect to load balance and query response time.
2011-01-01T00:00:00ZUsing merkle tree to mitigate cooperative black-hole attack in Wireless Mesh NetworksOm, S.Talib, M.http://hdl.handle.net/10311/10672016-08-13T00:19:07Z2011-01-01T00:00:00ZUsing merkle tree to mitigate cooperative black-hole attack in Wireless Mesh Networks
Om, S.; Talib, M.
Security is always a major concern and a topic of hot discussion to users of Wireless Mesh Networks (WMNs). The open architecture of WMNs makes it very easy for malicious attackers to exploit the loopholes in the routing protocol. Cooperative Black-hole attack is a type of denial-of-service attack that sabotages the routing functions of the network layer in WMNs. In this paper we have focused on improving the security of one of the popular routing protocols among WMNs, Ad-hoc on demand distance vector (AODV) routing protocol and present a probable solution to this attack using Merkle hash tree.
2011-01-01T00:00:00Z