Per-Priority Flow Control (Ppfc) Framework For Enhancing Qos In Metro Ethernet

Day by day Internet communication and services are experiencing an increase in variety and quantity in their capacity and demand. Thus, making traffic management and quality of service (QoS) approaches for optimization of the Internet become a challenging area of research; meanwhile flow control and congestion control will be considered as significant fundamentals for the traffic control especially on the high speed Metro Ethernet. IEEE had standardized a method (IEEE 802.3x standard), which provides Ethernet Flow Control (EFC) using PAUSE frames as MAC control frames in the data link layer, to enable or disable data frame transmission. With the initiation of Metro Carrier Ethernet, the conventional ON/OFF IEEE 802.3x approach may no longer be sufficient. Therefore, a new architecture and mechanism that offer more flexible and efficient flow and congestion control, as well as better QoS provisioning is now necessary

Distributed Hierarchical IDS For MANET Over AODV+.

In this paper, we introduce background knowledge of wireless ad hoc networking mobile ad hoc network (MANET) as well as intrusion detection system (IDS) and mobile agents. This research study surveys, studies and compares the existing intrusion detection based on mobile agent for mobile ad hoc networks. Based on our best knowledge from previous researches we design distributed hierarchical /D^S inclusive of network-based and host-based intrusion detection system with due consideration to their characteristics on ad hoc on4emand distance vector routing protocol (AODV+)

Supporting Women In Engineering and Technology Through A Collaborative Practice And Support Network Using Targeted Interventions

Despite ongoing efforts to recruit and retain women in third level engineering programmes in Ireland, there is still a lack of diversity in these programmes with typically fewer than 20% of students being female. This paper will describe the evolution of a female focused university wide network called WITU (Women in Technology United), which aims to retain female students in engineering and technology programmes, and to increase the number of gender minorities coming onto these programmes. It is also a response to the Sustainable Development Goals, particularly, SDG 4 (quality education), and SDG 5 (gender equality), and addresses actions highlighted in a recent Athena Swan review in our University. The network was formed in 2020 and extended to become University wide during lockdown, which in itself presented specific challenges. This paper describes the activities of the WITU network which runs events and celebrations for female students on our engineering and technology programmes such as ‘Meet & Greet’ events for incoming year one students, scholarship workshops, coding camps and International Women’s Day celebrations. The events are run collaboratively with students, academics and employer networks, with participation from recent female graduate role models, who are contributing to the wider engineering community. This paper describes these events and their impact on participants. Outcomes and feedback from participants show the critical role of these types of targeted interventions in supporting women and gender minorities and address some of the most pressing global challenges relating to the abovementioned SDGs

Applying different resampling strategies in machine learning models to predict head-cut gully erosion susceptibility

Gully erosion is one of the advanced forms of water erosion. Identifying the effective factors and gully erosion predicting is one of the important tools to control and manage such phenomenon. The main purpose of this study is to evaluate the effect of four different resampling algorithms including cross-validation (5-fold and 10-fold) and bootstrapping (Bootstrap and Optimism bootstrap) on boosted regression tree (BRT), support vector machine (SVM), and random forest (RF) models in spatial modeling and evaluation of head-cut gully erosion in Konduran watershed. For this purpose, based on an extensive field survey, the points of the head-cut of the gully erosion were identified first, and a map of the distribution of head-cut gully erosion in the study area was prepared. Then 18 variable identify and prepare as factors affecting the occurrence of head-cut gully erosion. To assess the efficiency of the models, receiver operating characteristics (ROC) and area under the curve (AUC) were used. The results of the assessment indicated that the use of resampling algorithms increases the efficiency of the models. The integrated optimism-bootstrap-BRT, optimism-bootstrap-SVM, and Optimism-Bootstrap-RF models with AUC 0.85, 0.823 and 0.89 respectively, outperformed the cross-validation 5fold (BRT, SVM, RF), Cross-validation 10fold (BRT, SVM, RF) and Bootstrap (BRT, SVM, RF) integrated algorithms