PROPOSED FRAMEWORK FOR A PAPER-REVIEWER ASSIGNMENT SYSTEM USING WORD2VEC

The task of assigning papers to reviewers is crucial to the realization of a peer-to-peer review process of academic conferences. The manual process of ensuring submissions assigned to reviewers is related to their knowledge domain can be very cumbersome. Besides, poor quality reviews results from an ineffective assignment of papers. From extant literature, automated reviewer assignment systems based on distributional semantic models have been used to capture semantics with the shortcoming of limited in the bag of words models. Neural Network Language models have been used to eliminate the limitations of bag of words of models in expertise finding and product recommendation. Thus this paper proposes a framework based on neural network language models to derive suitability scores based on the semantic relatedness between a paper meant for review and a reviewer’s representation papers. The present performance of the neural network language model compared to distributional semantic models used in solving reviewer-assignment. This ensures the semantic relatedness of paper and reviewer knowledge representation in allocating a paper, which improves the overall success of the peer-to-peer review process

A survey of self organisation in future cellular networks

This article surveys the literature over the period of the last decade on the emerging field of self organisation as applied to wireless cellular communication networks. Self organisation has been extensively studied and applied in adhoc networks, wireless sensor networks and autonomic computer networks; however in the context of wireless cellular networks, this is the first attempt to put in perspective the various efforts in form of a tutorial/survey. We provide a comprehensive survey of the existing literature, projects and standards in self organising cellular networks. Additionally, we also aim to present a clear understanding of this active research area, identifying a clear taxonomy and guidelines for design of self organising mechanisms. We compare strength and weakness of existing solutions and highlight the key research areas for further development. This paper serves as a guide and a starting point for anyone willing to delve into research on self organisation in wireless cellular communication networks

Beyond Surveys: Analyzing Software Development Artifacts to Assess Teaching Efforts

This Innovative Practice Full Paper presents an approach of using software development artifacts to gauge student behavior and the effectiveness of changes to curriculum design. There is an ongoing need to adapt university courses to changing requirements and shifts in industry. As an educator it is therefore vital to have access to methods, with which to ascertain the effects of curriculum design changes. In this paper, we present our approach of analyzing software repositories in order to gauge student behavior during project work. We evaluate this approach in a case study of a university undergraduate software development course teaching agile development methodologies. Surveys revealed positive attitudes towards the course and the change of employed development methodology from Scrum to Kanban. However, surveys were not usable to ascertain the degree to which students had adapted their workflows and whether they had done so in accordance with course goals. Therefore, we analyzed students' software repository data, which represents information that can be collected by educators to reveal insights into learning successes and detailed student behavior. We analyze the software repositories created during the last five courses, and evaluate differences in workflows between Kanban and Scrum usage