2010 Second International Conference on Advances in Computing, Control and Telecommunication Technologies (ACT)

Conference Information
Name: 2010 Second International Conference on Advances in Computing, Control and Telecommunication Technologies (ACT)
Location: Jakarta, Indonesia
Date: 2010-12-2 - 2010-12-3

Latest articles from this conference

Ivan Firdausi, Charles Lim, Alva Erwin, Anto Satriyo Nugroho
2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies pp 201-203; https://doi.org/10.1109/act.2010.33

Abstract:
The increase of malware that are exploiting the Internet daily has become a serious threat. The manual heuristic inspection of malware analysis is no longer considered effective and efficient compared against the high spreading rate of malware. Hence, automated behavior-based malware detection using machine learning techniques is considered a profound solution. The behavior of each malware on an emulated (sandbox) environment will be automatically analyzed and will generate behavior reports. These reports will be preprocessed into sparse vector models for further machine learning (classification). The classifiers used in this research are k-Nearest Neighbors (kNN), Naïve Bayes, J48 Decision Tree, Support Vector Machine (SVM), and Multilayer Perceptron Neural Network (MlP). Based on the analysis of the tests and experimental results of all the 5 classifiers, the overall best performance was achieved by J48 decision tree with a recall of 95.9%, a false positive rate of 2.4%, a precision of 97.3%, and an accuracy of 96.8%. In summary, it can be concluded that a proof-of-concept based on automatic behavior-based malware analysis and the use of machine learning techniques could detect malware quite effectively and efficiently.
Stephen Lourens Tanihaha, , Jessie Darma
2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies pp 60-63; https://doi.org/10.1109/act.2010.46

Abstract:
In this work, a prototype of dye-sensitized solar cell using organic dye from blackberry and semiconductor TiO 2 nanocrystals was studied. The cell was fabricated using materials locally obtained in Indonesia (except the transparent conducting oxide glass), and using technologies available in-house in laboratories in University of Pelita Harapan. The cell was tested in an own-constructed dark box by irradiation with halogen lamp of 20 Watt/220 Volt with intensity of 3.58 W/m 2 at a distance of 20 cm. The characterization of the cell gives I-V characteristics with open circuit voltage of 192.60 mV, short circuit current of 27.45 μA, fill factor of 29.88 %, and energy efficiency of 0.196 %. The solar cell shows degradation in performance with open circuit voltage and short circuit current degrading exponentially with degradation coefficient of 9.38 minutes and 23.49 minutes, respectively.
2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies pp 173-175; https://doi.org/10.1109/act.2010.10

Abstract:
The massively parallel computing using graphical processing unit (GPU), which based on tens of thousands of parallel threats within hundreds of GPU's streaming processors, has gained broad popularity and attracted researchers in a wide range of application areas from finance, computer aided engineering, computational fluid dynamics, game physics, numerics, science, medical imaging, life science, and so on, including molecular biology and bioinformatics. Meanwhile, Markov clustering algorithm (MCL) has become one of the most effective and highly cited methods to detect and analyze the communities/clusters within an interaction network dataset on many real world problems such us social, technological, or biological networks including protein-protein interaction networks. However, as the dataset become bigger and bigger, the computation time of MCL algorithm become slower and slower. Hence, GPU computing is an interesting and challenging alternative to attempt to improve the MCL performance. In this poster paper we introduce our improvement of MCL performance based on ELLPACK-R sparse dataset format using GPU computing with the Compute Unified Device Architecture tool (CUDA) from NVIDIA (called CUDA-MCL). As the results show the significant improvement in CUDA-MCL performance and with the low-cost and widely available GPU devices in the market today, this CUDA-MCL implementation is allowing large-scale parallel computation on off-the-shelf desktop machines. Moreover the GPU computing approaches potentially may contribute to significantly change the way bioinformaticians and biologists compute and interact with their data.
Zulfikar M. Yusuf, Shuja A. Abbasi, A.R.M. Alamoud
2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies pp 32-36; https://doi.org/10.1109/act.2010.20

Abstract:
The importance of processing of digital signals has dramatically increased due to widespread use of digital systems. A new FPGA based technique for processing of two digital signals to generate a new signal as a product of two signals is presented. The technique is based upon the use of orthogonal functions to describe digital signals.
Yuni Arti, Ninon Nurul Faiza, Sri Saraswati Wardhani, Anto Satriyo Nugroho, Dwi Handoko, Zain Saifullah, Wenwen Ruswendi, Edi Santoso
2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies pp 185-187; https://doi.org/10.1109/act.2010.42

Abstract:
Information and Communication Technology (ICT) is one of the most important aspect in a country. Good progress in ICT will be a valuable factor to compete with other countries. The progress in DKI Jakarta province is considered as a measurement or representation, that the ICT in Indonesia has been developed well or not. This research will use data mining method with clustering, using Self Organizing Map (SOM) algorithm. The algorithm is used for clustering the villages in DKI Jakarta Province, based on the availability of telecommunication and internet facility. The clustering or grouping result, less or more, will describe the progress rate in the province. last, the ICT progress in the country hoped will be represented in village clustering data of DKI Jakarta.
Djon Irwanto
2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies pp 50-54; https://doi.org/10.1109/act.2010.34

Abstract:
Good design is one of the prerequisites of high quality product. To measure the quality of software design, software metrics are used. Unfortunately in software development practice, there are a lot of software developers who are not concerned with the component's quality and characteristic. Software metrics does not interest them, because to understand the measurement of the metrics, a deep understanding about degree, dimension, and capacity of some attribute of the software product is needed. This event triggers them to build software's whose quality is below the standard. What is more dangerous is that these developers are not aware of quality and do not care with their work product. Of course these occurrences is concerning and a solution needed to be found. Through this paper the researcher is trying to formulate an indicator of component software that shows component design quality and characteristic visually. This indicator can help software developers to make design decision and refactoring decision, detect the design problem more quickly, able to decide which area to apply refactoring, and enable us to do early or final detection of design defects.
Ryan Andhika Perdana,
2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies pp 204-206; https://doi.org/10.1109/act.2010.36

Abstract:
To increase the number of customer, companies create some programs. loyalty program is the one way to increase number of customer. Most of the companies merge, cooperate, and acquired with other companies that leads to integration of their system. The purpose of this research is to show an alternative solution to these integrations, an alternative that is easy to implement and undemanding in terms of time and resource. A system is designed to achieve this purpose and can handle subsystem in a different platform, especially in loyalty system to create direct rewarding module. A modeling system then created to fulfill those requirements. It created in Java and Windows platform, to prove that designed system architecture is working. Web service technology is used to provide interoperability. Business Process Execution language (BPEL) and composite design pattern are used to provide abstraction. During the research it is proved that BPEl process enabled the designed system architecture to provide direct rewarding module for loyalty system.
2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies; https://doi.org/10.1109/act.2010.1

Abstract:
The following topics are dealt with: exponential change-points model; Fourier transform; forecasting sunspot numbers; distributed temperature measurements; software development; adaptive observer based tracking control; FPGA bases analysis; maximum power point tracking based optimal control; visual indicator component software; dye-sensitized solar cell; feedback delay effect; thresholding algorithm; artificial neural network; swarm routing protocol; variable bits secure system; image enhancement; failure detection; point-to-point OMNeT++ based simulation; chromosome centromere identification; power rail noise minimization; image feature extraction; semantic document annotation ranking model; stock price prediction; IT blueprint; fuzzy rule base; text classification techniques, machine learning techniques; and business process integration.
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