Online Data Stream Learning and Classification with Limited Labels

Mining data streams such as Internet traffic andnetwork security is complex. Due to the difficulty of storage, datastreams analytics need to be done in one scan. This limits thetime to observe stream feature and hence, further complicatesthe data mining processes. Traditional supervised data miningwith batch training natural is not suitable to mine data streams.This paper proposes an algorithm for online data streamclassification and learning with limited labels using selective selftrainingsemi-supervised classification. The experimental resultsshow it is able to achieve up to 99.6% average accuracy for 10%labeled data and 98.6% average accuracy for 1% labeled data. Itcan classify up to 34K instances per second

Cooperative Learning for Distributed In-Network Traffic Classification

Inspired by the concept of autonomic distributed/decentralized network management schemes, we consider the issue of information exchange among distributed network nodes to network performance and promote scalability for in-network monitoring. In this paper, we propose a cooperative  learning  algorithm  for  propagation and  synchronization of network information among autonomic distributed network nodes for online traffic classification. The results show that network nodes with sharing capability perform better with a higher average accuracy of 89.21% (sharing data) and 88.37% (sharing clusters) compared to 88.06% for nodes without cooperative learning capability. The overall performance indicates that cooperative learning is promising for distributed in-network traffic classification

Surface Hardening Characterization Of Transmission Gears

This paper is presented to compare the transmission gear products from SME (UKM gear) and national scale manufacturer (OEM gear) especially on the surface hardening characterization. Both gears were heat treated with different methods. The gear product of SME was heat treated by pack carburizing and quenching whereas the OEM gear was predicted to be heat treated using induction heating with high frequency. The surface hardening characterization was conducted by investigating the hardening thickness, the hardness number and the microstructure observation on the gear surfaces. The result of the hardening thickness investigation reveals a distinction on the depth of hardening penetration. The heat treatment using long interval pack carburizing of UKM gear produces a deeper penetration and the higher hardness number on the gear surface whereas the OEM gear has a thin hardness penetration and lower hardness number. The microstructure of the both gears depicts the different types of phase. The SME gear shows the present of the carbon infiltration on the martensitic phase structure boundary whereas the OEM gear exhibits lower bainite phase on the gear surface. With this condition the OEM gear is predicted to behave a better contact stress distribution during operation

Performance Evaluation of Centralized Reconfigurable Transmitting Power Scheme in Wireless Network-on-chip

Network-on-chip (NoC) is an on-chip communication network that allows parallel communication among all cores to improve inter-core performance. Wireless NoC (WiNoC) introduces long-range and high bandwidth radio frequency (RF) interconnects that can possibly reduce the multi-hop communication of the planar metal interconnects in conventional NoC platforms. In WiNoC, RF transceivers account for a significant power consumption, particularly its transmitter, out of its total communication energy. This paper evaluates the energy and latency performance of a closed loop power management mechanism which enables transmitting power reconfiguration in WiNoC based on number of erroneous received packets. The scheme achieves significant energy savings with limited performance degradation and insignificant impact on throughput

INVENTORISASI FIXED ASSET

Fixed asset merupakan aset yang berwujud tetap dan memiliki umur (kecuali tanah), dan tidak dimaksudkan untuk dijual. Pada sebuah perusahaan jasa perbaikan telepon genggam, fixed asset ini dapat berupa alat atau tool yang berfungsi sebagai alat penunjang perbaikan. Contoh adalah obeng, solder, pinset. Tool tersebut mempunyai peranan penting, kadang kondisi dari tool tersebut kurang diperhatikan sehingga dapat mempengaruhi kinerja dari perusahaan yang bersangkutan. Masalah akan mulai timbul jika kondisi tool tersebut tidak diperhatikan, antara lain proses perbaikan telepon genggam oleh teknisi akan terganggu, dan akan menimbulkan permasalahan baru yaitu komplain customer dari pemilik telepon genggam tersebut. Untuk pe,ecahan masalah tersebut pemantauan kondisi tool harus dilakukan, yaitu dengan inventorisasi Inventorisasi merupakan suatu usaha atau kegiatan pencatatan, diharapkan dengan menggunakan usaha tersebut diharapkan kondisi tool dapat dipantau setiap saat melalui sebuah laporan. Sehingga dengan menggunakan inventorisasi fixed asset pihak manajemen dapat selalu memantau dan mengambil keputusan secara tepa mengenai fixed asse

PID controller tuning by particle swarm optimization on electrical discharge machining servo control system

Electrical Discharge Machining (EDM) is included in a stochastic process. So maintaining gap between electrode and workpiece is not easy. In order to control the gap, a proportional integral derivative (PID) controller is designed for EDM servo actuator system. The main goal of this work is to get PID parameters through Particle Swarm Optimization (PSO) algorithm to ensure a stable, robust and controlled system. The controller and the model for EDM die sinking are verified by simulation of the control system using MATLAB and simulink program. Simulation results verify the effectiveness of the PID controller in which its parameter determined by PSO to control the electrode position towards workpiece

Current pulse generated by spark of electrical discharge machining (EDM)

Electrical Discharge Machining (EDM) is a process that uses electrical discharges to erode electrically conductive material where the electrode and workpiece do not touch. Spark between electrode and workpiece in the EDM process produced magnetic fields. The magnetic fields is found to have an effect on debris circulation in the gap of EDM, so it can decrease the abnormal electrical discharge. An electric current has an effect on the magnetic field produced. EDM uses the RC-generator configuration, so it is able to produce greater currents. This paper presents the calculation current pulse generated by spark of EDM. This calculation can be used to predict peak currents from EDM pulses. Predict peak current is used to find out the maximum magnetic field and determine the maximum current rating of a component. Pulse current calculation can use the equation that has been stated