By Hamzah Asyrani Sulaiman, Mohd Azlishah Othman, Mohd Fairuz Iskandar Othman, Yahaya Abd Rahim, Naim Che Pee
This publication covers varied facets of complex machine and communique engineering, focusing in particular on commercial and production concept and functions of electronics, communications, computing and data know-how. specialists in study, undefined, and academia current the newest advancements in know-how, describe purposes concerning state of the art conversation and computers, and discover most probably destiny developments. additionally, a wealth of recent algorithms that help in fixing machine and communique engineering difficulties are offered. The publication is predicated on displays given at ICOCOE 2015, the second overseas convention on communique and laptop Engineering. it's going to attract a variety of pros within the box, together with telecommunication engineers, machine engineers and scientists, researchers, teachers and students.
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Additional resources for Advanced Computer and Communication Engineering Technology: Proceedings of ICOCOE 2015
11 % false positive rate is attributed to V-Detector, which coincidentally is the rate for RNSA. 30 % are generated respectively. 90 %. S. Khairy et al. Fig. 90 Fig. 70 %. 50 % are recorded by RNSA, V-Detector, SVM and KNN respectively. Overall, the V-Detector surpassed all other algorithms performance wise. Real-Valued Negative Selection Algorithms … 31 5 Conclusion The need for ensuring integrity and conﬁdentiality in data has prompted computer scientists and researchers in proffering ways and avenues to adequately secure information.
2). Fig. 2 Tangential ﬁring system (Courtesy Neyveli Lignite Corporation) 40 K. Sujatha et al. Fig. 2 Proposed Method for Flame Monitoring in Boilers Using Image Processing The flame images are obtained from the flame video. The intensity of the flame varies with respect to temperature and flue gas emissions . The features are extracted and then reduced using SVM. The reduced feature set is used as an input to the Bayesian classiﬁer and ﬁnally the classiﬁcation performance is validated with certain performance measures.
In terms of delay, as shown in Fig. 5a, the frequent route break due to node mobility causes extra delay for each protocol. MPMP gains a low delay comparing to AODV, ETX-AODV and BEQRP. As shown in Fig. 5b, MPMP can achieve a low delay comparing to others protocols. AODV and BEQRP show the highest delay. For data trafﬁc, as shown in Fig. 5c, the delay of AODV, ETX-AODV and BEQRP is high comparing to MPMP. This is because route break in AODV, BEQRP and also in ETX-AODV is more frequent. 4 Concluding Remarks In this paper, we have proposed a novel multiple path-metrics based multi-path (MPMP) routing protocol for providing the best suitable route according to QoS requirements of applications.