Computer Communication & Collaboration

Computer Communication & Collaboration

ISSN:2292-1028 (Print)    ISSN:2292-1036(Online)

Vol. 6, Issue 4(2018.11)

Table of Contents

Editorial Board of CCC

Articles

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1. Analysis and Classification of Programming Exercises by Graph Clustering for Recognition of Model Solutions[Download PDF]

Authors:

Marcia G. Oliveira(Corresponding author), Howard Roatti, Elias S. Oliveira

Abstract:

Computer programming is a cognitive and formal problem solving process that can involve many possible solutions. Thus, manual evaluation of programming exercises is an onerous task, in particular in the case of numerous exercises and programming classes with many students. Once the assessment is automated, the effort put forth by teachers can be reduced; however, he should consider all possible solutions for each exercise to create model solutions or to train automatic assessment systems. In order to assist teachers in analyzing programming exercise solutions, this paper proposes a strategy based on clustering and LSA (Latent Semantic Analysis) techniques to identify classes of solutions that represent rubrics and automatically sort based on score the majority of the sets of exercise solutions. The results of the first experiments indicate the ability of this strategy to identify solutions classes and to automatically classify the best solutions.

Keywords:

Analysis of Exercises, Clustering, Programming, Rubrics

2. Distributed Filtering with Consensus Updating for Internet of Things Network [Download PDF]

Authors:

Yee Ming Chen (Correspondence author), Chu-Kai Wang, Chi-Li Tsai

Abstract:

Consensus approach for networked dynamic systems is an important research problem for distributed estimation in Internet of Things (IoT). In this paper, the distributed Kalman filter with consensus update approach was proposed to investigate the IoT of general multi-agent systems with links failure. The objective of the proposed approach is effectively to compensate for the undesirable effects of the failure links. Numerical simulations are provided to demonstrate the effectiveness of the approach results obtained.

Keywords:

Kalman Filter, Consensus, Estimation

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