Optimizing Service Differentiation Scheme with Sized-based Queue Management in DiffServ Networks

In this paper we introduced Modified Sized-based Queue Management as a dropping scheme that aims to fairly prioritize and allocate more service to VoIP traffic over bulk data like FTP as the former one usually has small packet size with less impact to the network congestion. In the same time, we want to guarantee that this prioritization is fair enough for both traffic types. On the other hand we study the total link delay over the congestive link with the attempt to alleviate this congestion as much as possible at the by function of early congestion notification. Our M-SQM scheme has been evaluated with NS2 experiments to measure the packets received from both and total link-delay for different traffic. The performance evaluation results of M-SQM have been validated and graphically compared with the performance of other three legacy AQMs (RED, RIO, and PI). It is depicted that our M-SQM outperformed these AQMs in providing QoS level of service differentiation.Comment: 10 pages, 9 figures, 1 table, Submitted to Journal of Telecommunication

Designing power system stabilizer for multimachine power system using neuro-fuzzy algorithm

This paper describes a design procedure for a fuzzy logic based power system stabilizer (FLPSS) and adaptive neuro-fuzzy inference system (ANFIS) and investigates their robustness for a multi-machine power system. Speed deviation of a machine and its derivative are chosen as the input signals to the FLPSS. A four-machine and a two-area power system is used as the case study. Computer simulations for the test system subjected to transient disturbances i.e. a three phase fault, were carried out and the results showed that the proposed controller is able to prove its effectiveness and improve the system damping when compared to a conventional lead-lag based power system stabilizer controller

Predicting protein-protein interactions as a one-class classification problem

Protein-protein interactions represent a key step in understanding proteins functions. This is due to the fact that proteins usually work in context of other proteins and rarely function alone. Machine learning techniques have been used to predict protein-protein interactions. However, most of these techniques address this problem as a binary classification problem. While it is easy to get a dataset of interacting protein as positive example, there is no experimentally confirmed non-interacting protein to be considered as a negative set. Therefore, in this paper we solve this problem as a one-class classification problem using One-Class SVM (OCSVM). Using only positive examples (interacting protein pairs) for training, the OCSVM achieves accuracy of 80%. These results imply that protein-protein interaction can be predicted using one-class classifier with reliable accuracy

A simulation study of data discovery mechanism for scientific data grid environment

Research in the area of grid computing has given us various ideas and solutions to address the requirements in a modern scientific computing community that managed massive amounts of a very large data collections in a geographically distributed environment. Data Grids mostly deal with large computational problems and provide geographically distributed resources for large-scale data-intensive applications that generate large data sets. A number of research groups are working on the data distribution problems in Data Grids and they are investigating the data replication approaches on the data distribution. This leads to a new problem in discovery and access to data in Data Grid environment. To address this problem we have developed a model to study various discovery mechanisms and investigate these mechanisms for Dynamic Scientific Data Grid Environments using our Grid Simulator. In this paper, we illustrate our model and our Grid Simulator

Penggunaan roda masa dalam meningkatkan kemahiran menyusun fakta sejarah mengikut kronologi dalam kalangan mudid tahap 4

Kajian ini bertujuan untuk mengkaji sejauh manakah penggunaan Roda Masa dapat meningkatkan kemahiran menyusun fakta sejarah mengikut kroologi dalam kalangan murid tahun empat.Tinjauan awal menunjukkan bahawa murid tidak dapat menyusun fakta sejarah mengikut kronologi yang betul. Kajian ini melibatkan sepuluh orang murid dari Kelas 4 K yang mengalami masalah menyusun fakta sejarah mengikut kronologi.Fokus kajian ini adala untuk meningkatkan kemahiran menyusun fakta sejarah mengikut kronologi.Roda Masa ini dijalankan dengan pelaksanaan tiga aktiviti yang telah dirancang.Data telah dikumpulkan melalui kaedah pemerhatian secara berstruktur, temu bual, dan analisis dokumen.Berdasarkan dapatan kajian yang dijalankan mendapati terdapat peningkatan dan kesan positif dari segi peningkatan murid dalam kemahiran menyusun fakta sejarah mengikut kronologi berdasarkan peningkatan markah yang diperoleh murid dalam setiap pelaksanaan aktiviti menggunakan intervensi saya.Diharapkan kajian ini dapat meningkatkan keberkesanan amalan pengajaran dan memperbaiki kualiti pengajaran saya sebaga