Since October 2017, I have been involving as a member of International Joint Research (IJR) project between 3 institutions (2 France, 1 Indonesian). Currently I’m an associate professor at UMB (maybe until [month] 20[xx] 🙂 ) and a PostDoc fellow at CESI Starsbourg, France, as a part of joint research between UMB-UHA-CESI. We have started our project on December 2017. (more…)
Posts Tagged ‘Abstract’
IJR Project UMB-UHA-CESI
February 21, 2019Optimisasi Penyebaran Jaringan Sensor Pemantauan Maritim Menggunakan Algoritma Genetik
November 8, 2017Abstrak
Sebagai negara kepulauan terbesar di dunia, Indonesia memiliki potensi besar menjadi poros maritim dunia. Poros maritim merupakan sebuah gagasan strategis yang diwujudkan untuk menjamin konektifitas antar pulau, pengembangan industri perkapalan dan perikanan, perbaikan transportasi laut serta fokus pada keamanan maritim. Maka diperlukan pemantauan maritim untuk mencegah terjadinya hal-hal yang negatif seperti pencemaran laut, pencurian ikan, pelanggaran kedaulatan, sengketa wilayah, dan perompakan. Pemantauan maritim telah menjadi isu yang sangat menarik selama beberapa tahun belakangan ini. Dengan adanya kemajuan teknologi dan Internet yang sangat pesat, teknologi jaringan sensor nirkabel telah menjadi hal yang sangat penting pada pemantauan lingkungan perairan. Penelitian ini mengusulkan sebuah metode optimasi penyebaran jaringan sensor untuk pemantauan lingkungan maritim. Dengan menggunakan pendekatan algoritma genetik multi-obyektif evolusioner untuk mendapatkan solusi topologi jaringan sensor optimal dengan jumlah sensor seminimum mungkin, namun maksimum dalam hal jangkauan dan konektifitas.
Performance Analysis of Evolutionary Multi-Objective Based Approach for Deployment of Wireless Sensor Network with The Presence of Fixed Obstacles
November 11, 2014
Here is the abstract from our paper that already accepted and will be presented on Globecom 2014 that will be held in Austin, Texas, USA from 8 – 12 December 2014.
Abstract — In this paper, a study about wireless sensor network (WSN) deployment strategy is demonstrated and made workable for the use of multi-objective approach. The development of sensor nodes by considering multiple objectives and existence of fixed obstacles is an important optimization problem. There are two objectives in this study, connectivity and coverage as two fundamental issues in wireless sensor networks deployment. In this work a multi-objective evolutionary algorithms based on elitist non-dominated sorting genetic algorithm (NSGA-II) is proposed to address this problem. Two proposed functions, ranking function and fitness function, are used to determine the best optimal solution from Pareto optimal fronts. Further we presented simulation and analysis to verify and validate the deployment of wireless sensor network in area with the presence of permanent obstacles.
Keywords — Multi-objective optimization, Wireless Sensor Network, Deployment, Genetic Algorithm, Obstacle.
Evolutionary Multi-Objective Based Approach for Wireless Sensor Network Deployment
January 14, 2014
Here is the abstract from our paper that already accepted and will be presented on ICC 2014 (International Conference on Communication) that will be held in the beautiful city of Sydney, Australia from 10-14 June 2014.
Abstract: A multi-objective evolutionary algorithm is designed to address some problems in many fields. This paper is a study about deployment strategy for achieving coverage and connectivity as two fundamental issues in wireless sensor networks. To achieve the best deployment, our approach is based on elitist non-dominated sorting genetic algorithm (NSGA-II). There are two objectives in this study, connectivity and coverage. We defined a fitness function to achieved the best deployment of nodes. Further we performed simulation to verify and validate the deployment of wireless sensor network as an output from our proposed mechanism. We measured some performance parameters to investigate and analyze our proposed sensor-deployment. Our simulation results show that our proposed algorithm can maintain coverage and connectivity in given sensing area with a relatively small number of sensor nodes in a given area.
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Comparison and Performance Analysis of AntNet and Distance Vector Routing Protocol in Telecommunication Networks Case Study : XYZ Company
February 26, 2013This is my abstract from our paper that already accepted and will be presented on ICOICT (International Conference of Information and Communication Technology) that will be held on 20-22 March 2013, at The Trans Luxury Hotel in Bandung, Indonesia.
Abstract—In this paper, we learn and adapt ant colony algorithm to know about the quality of services of routing protocol in broadband backbone infrastructure of XYZ Company. The objective of this research is XYZ Company need a basic research reference to realize broadband services such as Internet Protocol Television (IPTV) and digital television with the existing network infrastructure. In other words, company should not buy and build a new infrastructure to apply a new service. In that way the budget to buy new expensive devices could be allocated to another aspect. We perform our work by using simulation NS-2. In our method, we assume that all nodes are a router. We show through our deep experiments based on real network topology and also we compare AntNet routing protocol with distance vector routing protocol to learn their behavior and performance. The simulation result shows that AntNet routing protocol is better than distance vector in term of packet delivery ratio for larger packet size. However, in term of routing overhead and delay, AntNet produces higher header packet than distance vector routing protocol.
Keywords—AntNet;Distance Vector; Routing Protocol;Performance;
Energy Consumption Analysis of Modified AODV Routing Protocol under Random Waypoint and Reference Point Group Mobility Models
December 12, 2012Abstract — A Mobile Ad hoc Networks (MANET) is a non-infrastructure network that consists of a collection of nodes that can communicate each other independently. MANET is characterized by mobile with portable and limited power sources. A lot of protocols proposed to improve and optimize AODV performance. Our previous work, we have proposed a modified AODV routing protocol called RAODV+. RAODV+ combines two mechanism such as gateway mode and reverse route mechanism with the aim to improve the performance of the hybrid protocol. In this paper, we will discuss and analyze our modified AODV routing protocol in term of energy consumption analysis in mobility models, random waypoint and reference point group mobility. In this work, we use network simulator NS-2 to perform some scenarios of simulation. We used mobility models random waypoint and reference point group with various speed and number of source node to evaluate the energy consumed by each node. The simulation result shows that our modified protocol has lower energy consumption for random waypoint movement compare to the reference point group mobility model.
ACKNOWLEDGMENT
This research project is funded by The Directorate General of Higher Education Indonesia and Indonesian France Embassy.
You can download the paper here. This paper has already accepted and presented in International Conference on Advance Computer Science and Information Systems (ICACSIS) 2012.
APLIKASI SPEECH APPLICATION PROGRAMMING INTERFACE (SAPI) 5.1 SEBAGAI PERINTAH UNTUK PENGOPERASIAN APLIKASI BERBASIS WINDOWS
May 16, 2011
Berikut adalah abstrak dari paper kami yang berjudul :
APLIKASI SPEECH APPLICATION PROGRAMMING INTERFACE (SAPI) 5.1 SEBAGAI PERINTAH UNTUK PENGOPERASIAN APLIKASI BERBASIS WINDOWS
Insya’Allah akan dipresentasikan pada 17-18 Juni 2011 di Universitas Islam Indonesia – Yogyakarta pada Seminar Nasional Aplikasi Teknologi Informasi 2011.
ABSTRAKS
Salah satu penelitian pengenalan ucapan yang terkenal adalah yang dilakukan oleh Microsoft Corporation yang dikembangkan untuk sistem operasi Windows. Microsoft mengembangkan standar untuk mesin pengenalan ucapan, yaitu SAPI (Speech Application Programming Interface). SAPI memberikan kemampuan workstation untuk mengenali ucapan manusia sebagai masukan, dan membuat audio keluaran seperti suara manusia dari teks tertulis. Kemampuan ini menambahkan dimensi baru interaksi manusia dan komputer. Layanan pengenalan ucapan dapat digunakan untuk memperluas penggunaan komputer bagi mereka yang menemui bahwa mengetik terlalu sulit karena keterbatasan fisik. Penelitian ini bertujuan untuk mengembangkan Aplikasi Perintah Suara untuk mengoperasikan aplikasi berbasis Windows guna memudahkan pengguna yang mempunyai keterbatasan fisik. Model pengembangan perangkat lunak yang digunakan dalam penelitian ini adalah model waterfall. Penjelasan rinci tentang algoritma pengenalan ucapan berada di luar cakupan makalah ini.
Kata Kunci: Speech Application Programming Interface, SAPI, Pengenalan Suara