Bonjour, je m’appelle Abdusy SYARIF, post-doctorant issu de l’Université Mercu Buana, basée à Jakarta en Indonésie. Je travaille à CESI Strasbourg, en collaboration avec ABA et JFDR dans le cadre d’un projet de recherche international. (more…)
Archive for the ‘My Research’ Category
CESI Recherche International
February 21, 2019IJR Project UMB-UHA-CESI
February 21, 2019Since 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…)
A low-cost guitar amp
February 13, 2019I have made some cover with only using my guitar, cables, and open source software such as Guitarix virtual amp and Audacity on my Linux machine. With a little bit effort and no need to big some money to make your own home studio recording. Today, with the increasing of technology in hardware and software, and of course the Internet, we can make our own music studio in your home or even in your room and start to ROCK. 😀 (more…)
Non-dominated Sorting Genetic Algorithm
November 6, 2018Non-dominated Sorting Genetic Algorithm, Nondominated Sorting Genetic Algorithm, Fast Elitist Non-dominated Sorting Genetic Algorithm, NSGA, NSGA-II
Taxonomy
The Non-dominated Sorting Genetic Algorithm is a Multiple Objective Optimization (MOO) algorithm and is an instance of an Evolutionary Algorithm from the field of Evolutionary Computation. Refer to for more information and references on Multiple Objective Optimization. NSGA is an extension of the Genetic Algorithm for multiple objective function optimization. It is related to other Evolutionary Multiple Objective Optimization Algorithms (EMOO) (or Multiple Objective Evolutionary Algorithms MOEA) such as the Vector-Evaluated Genetic Algorithm (VEGA), Strength Pareto Evolutionary Algorithm (SPEA), and Pareto Archived Evolution Strategy (PAES). There are two versions of the algorithm, the classical NSGA and the updated and currently canonical form NSGA-II.
Protokol Routing RPL
January 23, 2018Internet of Things (IoT) bukan lagi sebagai fantasi sains-fiksi. Dengan kemajuan teknologi yang sangat pesat memungkinkan terhubungnya semua objek sehari-hari ke Internet. Namun, diperlukan sebuah solusi yang interoperabel untuk memastikan optimal komunikasi antar objek-objek tersebut. Protokol routing adalah salah satu elemen kunci pada IoT. Karena protokol routing memungkinkan setiap objek menentukan bagaimana mencapai objek lain. Beberapa kendala pada protokol routing antara lain saluran komunikasi yang tidak stabil dan energi daya rendah yang harus diperhitungkan dalam pengembangan protokol routing yang sesuai untuk IoT. Pada artikel kali ini, saya akan menyajikan sekilas tentang protokol RPL yang dirancang khusus untuk jaringan berdaya rendah dan lossy (Low-power and Lossy Network disingkat LLN).
Development of a New Routing Protocol by using Multi-objective and Swarm Intelligent Approaches for Wireless Sensor Network on Maritime Environment Monitoring
December 1, 2017This is the abstract for my International Research Collaboration and Scientific Publication with two French Institutions as international collaborators.
ABSTRACT
As the largest archipelago country in the world, Indonesia has great potential to be the world’s maritime axis. The maritime axis is a strategic idea which embodied to ensure inter-island connectivity, shipping and fishery industries development, marine transportation improvement and focus on maritime security. So maritime monitoring is crucial in order to prevent sea pollution, fish theft, sovereignty offenses, territorial disputes, and piracy. Nowadays, maritime monitoring has been a very interesting issue over the last decade. With the rapid advancement of technology and the Internet, sensor network technology has become very important in monitoring the aquatic environment. Maritime responsibilities, such as vigilance and patrolling, wildlife monitoring, and aqua-culture inspection, mostly require large operational teams and expensive equipment. In this research proposal, we will study a scalable robotics system based on swarm intelligence. We take advantage of bio-inspired artificial evolution approaches in order to synthesize scalable and robust collective behaviors for the nodes or the drones. In this research proposal, we will study and propose a system which composed of potentially hundreds sensor nodes or thousands of autonomous drones. Each drone could equipped with a number of different sensors. The use of numerous nodes or drones introduces redundancy in the system, which decreases the impact of hardware declines and has the potential to improve operational efficiency by admitting a wider area to be covered simultaneously. On the other hand, automating such missions greatly minimizes the maintenance cost while increasing scalability and availability. The behaviors of nodes or drones are then combined hierarchically, allowing the overall behavior for a particular mission to be quickly configured and tested in simulation. The goals of this research is to developing a new mechanism which enable swarm intelligence of nodes or drones to operate as a robust wireless sensor network (WSN) for maritime environment monitoring.
Keywords: Maritime, Swarm Intelligence, Sensor, WSN
SOLVED : Install Matlab R2015a 64bit on Ubuntu
November 30, 2017
In order to do my research project, I need to install Matlab on my Ubuntu machine. So…here is step-by-step how to install Matlab R2015a (64 bit) on my Ubuntu 14.04 64 bit. (more…)
MATLAB : WSN SIMULATION
November 13, 2017The instruction is valid for Matlab version R2007b.
First dowload and save grTheory toolobox (save it in Tools): http://www.mathworks.com/matlabcentral/fileexchange/4266. Open the Matlab and go to the File/Set Path and click on the Add Folder. Insert the path to your grTheory toolbox. (more…)
Optimisasi 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.
