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4th International Conference on Electric Vehicular Technology, ICEVT 2017

作者： Aziz, Mochamad Vicky Ghani Prihatmanto, Ary Setijadi Hindersah, Hilwadi Control and Computer System Laboratory School of Electrical Engineering and Informatics ITB Bandung Indonesia School of Electrical Engineering and Informatics ITB National Center for Sustainable Transportation Technology Bandung Indonesia

ISBN: (纸本)9781538636978

Self-Driving Car research problem requires several sub-topics that need to be discussed more deeply. Such as Deep Learning, computer Vision, Fusion Sensor, Localization, control, until Path Planning. All of them are fusion of several fields of study. This paper discusses the results of implementation of lane detection algorithm on toll road Cipularang as parts of self-driving car system. Video image taken using action camera mounted on top of the vehicle, with 1280×720 resolution. Average speed of the vehicle is 100 km per hour. Programming language of image processing using Python 3. Image processing method are a combination of methods of colour region, line selection, canny edge detection, and Hough transform. The result shows this algorithm needed to be add some method that can changing the parameters during day and night adaptively. Because constant parameters can only be used in the same lighting conditions. Overall the implementation method in Python Language can successfully detect the road lane with an accuracy above 90 percent. © 2017 IEEE.

关键词： Hough transforms

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Implementation of vehicle detection algorithm for self-driving car on toll road cipularang using Python language 4

Implementation of vehicle detection algorithm for self-drivi...

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4th International Conference on Electric Vehicular Technology, ICEVT 2017

作者： Aziz, Mochamad Vicky Ghani Hindersah, Hilwadi Prihatmanto, Ary Setijadi Control and Computer System Laboratory School of Electrical Engineering and Informatics ITB Bandung Indonesia School of Electrical Engineering and Informatics ITB National Center for Sustainable Transportation Technology Bandung Indonesia

ISBN: (纸本)9781538636978

Self-Driving Car research problem requires several sub-topics that need to be discussed more deeply. Such as Deep Learning, computer Vision, Fusion Sensor, Localization, control, until Path Planning. All of them are fusion of several fields of study. This paper discusses the results of implementation of vehicle detection algorithm on toll road Cipularang as parts of self-driving car system. Video image taken using action camera mounted on top of the vehicle, with 1280×720 resolution. Average speed of the vehicle is 100 km per hour. Programming language of image processing using Python 3. Image processing method are a combination of methods of object detection, feature intuition, colour spaces, and HOG (histogram of oriented gradient). The result shows this algorithm needed to be add some method that can changing the parameters during day and night adaptively. Because constant parameters can only be used in the same lighting conditions. Overall the implementation method in Python Language can be successfully detect the vehicle with an accuracy above 90 percent. © 2017 IEEE.

关键词： Object detection

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Design and implementation of system prediction and traffic conditions visualization in two dimensional map (case study: bandung city)

Design and implementation of system prediction and traffic c...

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IEEE International Conference on system Engineering and Technology

作者： Dian Anggraini Wisnu Siswantoko Diotra Henriyan Devie Pratama Subiyanti Mochamad Vicky Ghani Aziz Ary Setijadi Prihatmanto Control and Computer System Laboratory Institut Teknologi Bandung Indonesia

ISBN: (纸本)9781509050901

Traffic jam today in the city is one of the focus from the government, because it has a very big impact, from wasting a lot of time, the fuel until air pollution. Searching information about traffic conditions in the city has been widely available through the Twitter account @infobdg, with hashtag #lalinbdg and from the website ***. However, the rapid development of online information services resulted in the lack of time to read the complete information and for extracting the right information. To resolve these problems, it is necessary to design and implementation the visualization of traffic conditions in the form of map, which the information obtained from twitter, cctv, user and operator prfm (the radio information about traffic conditions in bandung). And then designing the predictive system for traffic conditions based on information from twitter, so the people can predict traffic conditions for one week ahead. Making the visualization begins with taking a summary of the information that will be used for the visualization on the map. From the information twitter, cctv, user and operator has been able to display traffic conditions in real time and predictive traffic conditions to allow users to know the traffic conditions.

关键词： Twitter Visualization Data visualization Urban areas Data mining Linear regression

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Design and implementation of web based real time chat interfacing server

Design and implementation of web based real time chat interf...

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IEEE International Conference on system Engineering and Technology

作者： Diotra Henriyan Devie Pratama Subiyanti Rizki Fauzian Dian Anggraini M. Vicky Ghani Aziz Ary Setijadi Prihatmanto Control and Computer System Laboratory Institut Teknologi Bandung Indonesia

ISBN: (纸本)9781509050901

Chat application is a feature or a program on the Internet to communicate directly among Internet users who are online or who were equally using the internet. Chat applications allow users to communicate even though from a great distance. Therefore, this chat application must be real-time and multi platform to be used by many users. The development of information and communication technologies are rapidly making one of the reasons for Indonesia, especially bandung to develop this chat application. That's because Indonesia does not always rely on outsiders. It is important for Indonesia to develop this chat application for themselves. This chat application in the manufacture begins with the collection of relevant data that will be displayed in the web and mobile versions. The programming language used to build server is *** with express framework and MongoDB database.

关键词： Servers Real-time systems Databases User interfaces Internet Information and communication technology computers

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Design of Process control system in Water Cooling Processing Interaction Tank using Integral control and Robust control in The Tire Industry

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IOP Conference Series: Materials Science and Engineering 2018年第1期384卷

作者： D Handaya P Bakti Y P Nugraha Electronic Engineering Politeknik Gajah Tunggal Jl. Gatot Subroto KM. 7 Tangerang 15135 Indonesia Research Center for Quality System and Testing Technology Indonesian Institute of Science Gedung 417 Jl. Kawasan Puspitek Muncul Setu Tangerang Selatan 15314 Indonesia Control System and Computer Laboratory School of Electrical Engineering and Informatics Bandung Institute of Technology Jl. Ganesha no. 10 Bandung 40132 Indonesia

This laboratory based research build a process control system as water level scanner in interaction tank used for water cooling. The control valve parameter based on water level between tanks are interacted. The control method of tank valve ratio choosed in this reasearch is integral control and robust control. The desired control specification for maximum overshoot is 10%, peak time is 1 second, and error steady state is 0. The design process executed in physic system modelling step and system design criteria. Experiment executed using Matlab Script and Matlab Simulink. The simulation result will be compared to see an effective performance for processing of water cooling interaction tank control method. The design result for integral control can tracking reference accord to system design criteria and robust control can tracking reference without different experience either the system without disturbance or the system with disturbance.

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Design and implementation of natural language processing with syntax and semantic analysis for extract traffic conditions from social media data 5

Design and implementation of natural language processing wit...

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5th IEEE International Conference on system Engineering and Technology, ICSET 2015

作者： Aziz, Mochamad Vicky Ghani Prihatmanto, Ary Setijadi Henriyan, Diotra Wijaya, Rifki Control and Computer System Laboratory School of Electrical Engineering and Informatics Institut Teknologi Bandung Indonesia

ISBN: (纸本)9781467367134

Traffic congestion is still a crucial issue because it has a huge impact from the waste of time, the fuel to air pollution. Search information on traffic conditions have been widely available such as through Twitter and the website of CCTV, but the rapid development of online information services resulted in the lack of time to read the complete information. By utilizing the Twitter data, then created a summary regarding the traffic, the summary can improve time efficiency and effectiveness in obtaining information about traffic conditions. However, the structure of the language of Twitter tweets unstructured and raw cause difficult to process information computer, to solve these problems then summarize it using Natural Language Processing approach the syntactic and semantic analysis to improve the structure of words and sentence parsing so that it can classify traffic conditions tweet of the sentence. © 2015 IEEE.

关键词： Traffic congestion

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Design and Implementation of Natural Language Processing with Syntax and Semantic Analysis for Extract Traffic Conditions from Social Media Data

Design and Implementation of Natural Language Processing wit...

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IEEE International Conference on system Engineering and Technology

作者： Mochamad Vicky Ghani Aziz Ary Setijadi Prihatmanto Diotra Henriyan Rifki Wijaya Control and Computer System Laboratory School of Electrical Engineering and Informatics Institut Teknologi Bandung

ISBN: (纸本)9781467367141

关键词： Natural language processing Syntax and semantic analysis Extract traffic condition Natural Language Processing syntax Social Media Traffic TWITTER Language Processing CLOSED CIRCUIT TELEVISION traffic congestion time efficiency Semantics

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Modelling and Simulation of Switched Reluctance Motor Based on Comsol

Modelling and Simulation of Switched Reluctance Motor Based ...

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International Conference on Artificial Intelligence, Modelling and Simulation (AIMS)

作者： Umar Sholahuddin Agus Purwadi Nana Heryana Hilwadi Hindersyah Electric Energy Conversion Research Laboratory Bandung Institute of Technology Bandung Indonesia Control and Computer System Laboratory Bandung Institute of Technology Bandung Indonesia

Switched reluctance motor (SRM) drives have gained many attentions from researcher which will be used for automotive applications that needs high speed, wider range of constant power capability, ruggedness, and fault tolerance. This paper focuses on modelling and simulation of switched reluctance motor (SRM) based on COMSOL software, two dimensional finite element models of SRM were developed and established. The results show that the models established, are propitious to the accurate analysis of switched reluctance motor torque and flux. SRM 6/4 configuration was selected due to its simple structure and low cost of electronics required for the controller. The model developed will be used to design and build an EV SRM for prototype testing.

关键词： Artificial intelligence

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Rayleigh particle filter for nonlinear tracking system

Rayleigh particle filter for nonlinear tracking system

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2012 4th International Conference on Intelligent and Advanced systems, ICIAS 2012

作者： Yulianti, Lenni Riyanto, Bambang Laboratory of Control and Computer System School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia

ISBN: (纸本)9781457719677

Most papers on particle filtering are developed under the assumption that the distribution form of interfering noise is Gaussian, while the real physical systems would be more accurately modeled using non-Gaussian noises. This paper is examining the performance of particle filter for nonlinear tracking system with Rayleigh-distributed noises. We also investigate how Rayleigh particle filtering tends to give better RMSE than the Gaussian one, but needs longer execution time. © 2011 IEEE.

关键词： Gaussian noise (electronic)

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Random Finite Sets (RFSs) approach in particle-based multi-target multisensor Bayesian filtering

Random Finite Sets (RFSs) approach in particle-based multi-t...

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2012 7th International Conference on Telecommunication systems, Services, and Applications, TSSA 2012

作者： Yulianti, Lenni Riyanto, Bambang Setijadi, P. Ary Laboratory of Control and Computer System School of Electrical Engineering and Informatics Institut Teknologi Bandung Indonesia

ISBN: (纸本)9781467345507

Various algorithms on multi-target multisensor tracking have been developed to provide reliable performance, in terms of tracking accuracy and computational efficiency. Propagating full multi-target posterior of the states at every time step of estimation process would certainly not be a suitable option due to its computational costs. To alleviate this problem, Random Finite Sets (RFSs) approach which leads to the implementation of Probability Hypothesis Density (PHD) filter offers more effective method. Based on the theory of Finite Set Statistics (FISST), RFSs represents the multi-target states and multisensor observations as a single meta-state and a single meta-observation, respectively. And the system propagates only the first moment, or PHD, associated with multi-target posterior in every recursion time step. This paper is evaluating the performance of this approach using simulation on a nonlinear range and bearing tracking problem, which is employed to track multi-target using several sensors to get the observations. Simulation results show that the algorithm successfully tracks the targets over the surveillance region, with slightly decreasing performance when the level of noise is higher and the clutter density is denser. © 2012 IEEE.

关键词： Computational efficiency

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