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Presents a linear time algorithm to find the maximum area triangle enclosed in a planar convex region. The algorithm is based on inspecting a selected set of chords in a…
Presents a linear time algorithm to find the maximum area triangle enclosed in a planar convex region. The algorithm is based on inspecting a selected set of chords in a decreasing sequence of slopes and the number of chords so inspected is proportional to total number of vertices resulting in a linear time algorithm. Addresses the problem because of its importance in robotics, computational geometry and other research areas.
This paper discusses a new similarity measure for the anomaly‐based intrusion detection scheme using sequences of system calls. With the increasing frequency of new…
This paper discusses a new similarity measure for the anomaly‐based intrusion detection scheme using sequences of system calls. With the increasing frequency of new attacks, it is getting difficult to update the signatures database for misuse‐based intrusion detection system (IDS). While anomaly‐based IDS has a very important role to play, the high rate of false positives remains a cause for concern. Defines a similarity measure that considers the number of similar system calls, frequencies of system calls and ordering‐of‐system calls made by the processes to calculate the similarity between the processes. Proposes the use of Kendall Tau distance to calculate the similarity in terms of ordering of system calls in the process. The k nearest neighbor (kNN) classifier is used to categorize a process as either normal or abnormal. The experimental results, performed on 1998 DARPA data, are very promising and show that the proposed scheme results in a high detection rate and low rate of false positives.
The compulsive buying (CB)behaviour has become topics of increasing interest to researchers and policy makers, particularly because researches have shown that it can…
The compulsive buying (CB)behaviour has become topics of increasing interest to researchers and policy makers, particularly because researches have shown that it can influence consumer behaviour and well-being. However, a clear picture of how this phenomenon arises has proven elusive. Using the adolescents perceived level of stress as an integrative framework, the purpose of this paper is to derive hypotheses from two theoretical perspectives (the stress and CB behaviour), and uses a survey of adolescents (15-18) year in India to test the hypotheses.
The present study is the first to experimentally manipulate important stressors in the lives of adolescents, i.e. familial and non-familial; and measures its impact on CB among a sample of 15-18-year old adolescents. Next, the authors investigate the relationship between CB and post-purchase regret and then whether gender moderates the stress-CB relationship.
The present study finds that adolescents increasingly turn to CB in an attempt to cope with heightened levels of stress due to familial and non-familial factors. Surprisingly, findings reveal that non-familial factors are not a major source of stress among adolescents. Gender was not found to moderate stress-CB relationship. Both boys and girls were found to respond to higher levels of stress with higher incidences of CB. Results suggest that CB behaviour is a common coping strategy for adolescents from both genders. The findings indicate that one’s experiences and circumstances in adolescence are related to their CB behaviour, thus a framework has been used to elucidate them, have important implications for theory and practice.
The study makes some inimitable and significant contributions to the literature. It portrays one of few studies to investigate CB during adolescence period – a hard to reach population. Here authors experimentally manipulate stress levels to investigate its impact on CB. The study’s findings in regard to gender’s impact on the stress-CB relationship suggest that CB begins during adolescence period and is a common coping strategy for both boys and girls.