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1st International Conference on Education, Science and Technology, ICON-EST 2018

作者： Away, Yuwaldi Yanti, Yeni Rizal, M.Syamsu Novandri, Andri Department of Electrical and Computer Engineering Syiah Kuala University Banda Aceh Indonesia Department of Informatics Engineering Serambi Mekkah University Banda Aceh Indonesia

The use of renewable energy from solar panel systems is increasingly being applied, but until now the utilization has not been maximized. The movement of the sun caused by the rotation of the earth should be taken into account to maximize electrical energy in the solar panel (PV). In this study, a concept was proposed to control the movement of the two-axis sun tracker with smartphones using bluetooth communication. Controlled by rotating two DC motors, two axes are joined together into linear actuators that can extend and shorten, so that the solar panel can move towards the sun. This system uses a light sensor (Light Dependent Resistor) and a gyroscope sensor as input and two DC motors that are placed on each axis as output. The motor driver used is the Monster Moto Shield. Sun tracker that is used based on tetrahedron geometry and uses three light sensors. The light sensor functions to determine the position of the sun while the gyroscope sensor is used to determine the tilt angle of the solar panel. The gyroscope module used is MPU-6050. This system also uses the GY-273 compass sensor which functions to determine the direction of the wind direction. Components of input and output are connected to the ATmega328P microcontroller and wireless communication using bluetooth. The Bluetooth module used is the HC-05 module. The solar panel movement and the power obtained are then monitored and recorded for analysis. © Published under licence by IOP Publishing Ltd.

关键词： Solar panels

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Using clustering techniques to identify arguments in legal documents 3

Using clustering techniques to identify arguments in legal d...

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3rd Workshop on Automated Semantic Analysis of Information in Legal Texts, ASAIL 2019

作者： Poudyal, Prakash Gonçalves, Teresa Quaresma, Paulo Department of Computer Science and Engineering Kathmandu University Dhulikhel Nepal Department of Informatics University of Evora Evora Portugal

A proposal to automatically identify arguments in legal documents is presented. In this approach, cluster algorithms are applied to argumentative sentences in order to identify arguments. One potential problem with this process is that an argumentative sentence belonging to one specific argument can also simultaneously be part of another, distinct argument. To address this issue, a Fuzzy c-means (FCM) clustering algorithm was used and the proposed approach was evaluated with a set of case-law decisions from the European Court of Human Rights (ECHR). An extensive evaluation of the most relevant and discriminant features to this task was performed and the obtained results are presented. In the context of this work two additional algorithms were developed: 1) the "Distribution of Sentence to the Cluster Algorithm" (DSCA) was developed to transfer fuzzy membership values (between 0 and 1) generated by the FCM to a set of clusters;2) the "Appropriate Cluster Identification Algorithm" (ACIA) to evaluate the proposed clusters against the gold-standard clusters defined by human experts. The overall results are quite promising and may be the basis for further research work and extensions. © 2019 Copyright held by the owner/author(s).

关键词： Machine learning

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Design space exploration in multi-level computing systems 14

Design space exploration in multi-level computing systems

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15th International Conference on computer Systems and Technologies, CompSysTech 2014

作者： Sklyarov, Valery Skliarova, Iouliia Silva, João Sudnitson, Alexander Department of Electronics Telecommunications and Informatics University of Aveiro Portugal Department of Computer Engineering Tallinn University of Technology Estonia

ISBN: (纸本)9781450327534

The paper is dedicated to the design space exploration for Xilinx devices from Zynq-7000 family with such architecture that includes a dual-core processing system and a programmable logic on the same microchip. The developed multi-level computing system enables three subsystems to be combined that are: a personal host computer, a Zynq-based hardware/software system and peripheral devices. Interactions with the host computer are provided through files that are used to supply data to the Zynq device and to get the results from the Zynq device. For interactions between software running in the Zynq processing system and hardware implemented in the Zynq programmable logic, different types of interfaces have been supported. A number of peripheral modules for using such devices as VGA monitors and keypads have been designed. The paper reports the results of integration of the developed components and proposals for using such system in practical applications. Copyright © 2014 ACM.

关键词： System-on-chip

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Automatic extraction of cortical gray matter by geodesic contours

Automatic extraction of cortical gray matter by geodesic con...

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2011 23rd International Symposium on Information, Communication and Automation Technologies, ICAT 2011

作者： Iskurt, Ali Becerikli, Yaşar Department of Informatics Yildiz Technical University Istanbul Turkey Department of Computer Engineering Kocaeli University Kocaeli Turkey

ISBN: (纸本)9781457707469

Automatic quantitative analysis of brain tissues has a high importance. However, lack of high precision still makes results unreliable. This paper presents a novel system which separates cortical GM from WM. It imitates human perception like edge detection algorithms but recovers their disability in segmentation. System is fully automatic and unsupervised. Fastened segments of geodesic passive contours (FSG) are utilized and the perceptive sensitivity to edges is imitated. This nature of the solution proved to treat the inhomogeneity and noise problems well. The technique is tested on both real and synthetic databases and compared with widely used software of SPM and works faster. Our technique succeeded in getting average misclassification rate of 4.8% for WM and correct GM-WM boundary rate of 77% being very close to experts' agreement. © 2011 IEEE.

关键词： Edge detection

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A Moving Human Detection and Tracking using Combination of HOG and Color Histogram 21

A Moving Human Detection and Tracking using Combination of H...

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21st International electronics Symposium, IES 2019

作者： Imanuddin, Achmad Ilham Kristalina, Prima Bayu Dewantara, Bima Sena Politeknik Elektronika Negeri Surabaya Department of Electrical Engineering Surabaya Indonesia Politeknik Elektronika Negeri Surabaya Department of Informatics and Computer Engineering Surabaya Indonesia

ISBN: (纸本)9781728144498

Detection and tracking of a moving target in a crowded area using camera surveillance is still an open topic that to be resolved. Determining a single target instance known among other objects in the room becomes a problem. We propose a color-based human tracking algorithm by considering the correlation distance from the color histogram used as the target selection. Furthermore, we also create a new dataset based on the INRIA dataset to minimize the detection area. Then, we apply the HOG extraction feature to the human detection system. We apply the Recall-Precision curve to evaluate the performance. The accuracy and precision rate has increased by 10 times. Experimental results are also provided in performance metrics to prove the reliability of our proposed method. © 2019 IEEE.

关键词： Color

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A new approach to stability analysis of neural networks with time-varying delay via novel Lyapunov-Krasovskii functional

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Chinese Physics B 2010年第5期19卷 115-120页

作者： S.M.Lee O.M.Kwon Ju H.Park Department of Electronic Engineering Daegu UniversityGyungsanGyungbuk 712-714Republic of Korea College of Electrical and Computer Engineering 410 SungBong-RoHeungduk-GuChungbuk National UniversityCheongju 361-763Republic of Korea Nonlinear Dynamics Group Department of Electrical EngineeringYeungnam University214-1 Dae-DongKyongsan 712-749Republic of Korea

In this paper, new delay-dependent stability criteria for asymptotic stability of neural networks with time-varying delays are derived. The stability conditions are represented in terms of linear matrix inequalities （LMIs） by constructing new Lyapunov-Krasovskii functional. The proposed functional has an augmented quadratic form with states as well as the nonlinear function to consider the sector and the slope constraints. The less conservativeness of the proposed stability criteria can be guaranteed by using convex properties of the nonlinear function which satisfies the sector and slope bound. Numerical examples are presented to show the effectiveness of the proposed method.

关键词： neural networks Lyapunov-Krasovskii functional sector bound time-delay

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A differential evolution-based iterative multi-scaling algorithm for microwave imaging of dielectric structures

A differential evolution-based iterative multi-scaling algor...

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IEEE International Conference on Imaging Systems and Techniques

作者： Donelli, M. Massa, A. Oliveri, G. Pastorino, M. Randazzo, A. Department of Information Engineering and Computer Science University of Trento Trento Italy Department of Biophysical and Electronic Engineering University of Genoa Genoa Italy

ISBN: (纸本)9781424464944

Electromagnetic inverse scattering problems arise in several diagnostic applications, in which the objective is retrieving the physical and geometrical properties of the unknown targets under test starting from measured samples of the scattered electric field. Solving such problems is still a challenging task, due to the related ill-posedness and nonlinearity. In order to partially overcome such difficulties, the inverse scattering problem is often recast as a global optimization problem, which can be solved by using stochastic methods. In this paper a new approach, based on the Differential Evolution method and on an iterative multiscaling strategy is proposed. Some results, concerning the imaging of dielectric structures are reported and discussed. © 2010 IEEE.

关键词： Electric fields

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Feature Extraction of Tomato Growth Model using Greenhouse Monitoring System 21

Feature Extraction of Tomato Growth Model using Greenhouse M...

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21st International electronics Symposium, IES 2019

作者： Aminulloh, Luthfi Sesulihatien, Wahjoe Tjatur Pramadihanto, Dadet Politeknik Elektronika Negeri Surabaya Department of Electrical Engineering Surabaya Indonesia Politeknik Elektronika Negeri Surabaya Department of Informatics and Computer Engineering Surabaya Indonesia

ISBN: (纸本)9781728144498

This study focuses on the feature extraction and development of tomato growth model. In Indonesia, the application of sensors and actuators to build smart farming has become increasingly popular in the past year but to produce measured harvest quality and quantity in smart farming, a model of growth and yield of the tomato plant is needed. in this paper, observations on the growth of tomato plants were carried out to extract features in the growth of tomato plants. In the experiment, a greenhouse was built to maintain the growth conditions of tomato plants which are equipped with an information system for reading sensor data to determine the greenhouse environment conditions for the growth of tomato plants with a local-global management strategy. from the experiment, we obtained a response model of the tomato plant growth with the effect of the maximum temperature that caused the blossoms to fall. and from the growth model, there are 5 growth stages of tomato plants are obtained, which at each stage has different growth variables with different nutritional needs and environmental conditions. with the important knowledge gained from this experiment, it can be used to develop a dynamic tomato plant growth model based on the growth stage, which is expected to be applied in the control system on smart farming in the future work. © 2019 IEEE.

关键词： Feature extraction

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Numerical estimation of characteristics of voltage-current sensor of resin molded type for 22kV power distribution systems

Numerical estimation of characteristics of voltage-current s...

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ICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009

作者： Kubo, Takuro Furukawa, Tatsuya Fukumoto, Hisao Ohchi, Masashi Department of Electrical and Electronic Engineering Faculty of Science and Engineering Saga University Saga Japan Department of Electrical Electronics and Computer Engineering Faculty of Engineering Chiba Institute of Technology Chiba Japan

ISBN: (纸本)9784907764333

The electric power is indispensable and its stable supply is always expected. A stable supply needs the real-time observation of load conditions by measurement of power factor. In addition, the various faults have been caused from the harmonic voltage and current. In the authors' laboratory, the sensor, which simultaneously measures both the waveforms of the voltage and current without contacting the conductors in the three-phase power distribution system directly, has been designed and implemented. Using the sensor, we will observe the power factor and harmonics from the measured waveforms of voltage and current in power distribution line. However, the experimental sensor was designed to be applied to the 6.6 kV power distribution system in the dielectric strength. The authors will propose the sensor for the 22kV power distribution system and investigate the output characteristics of this new sensor from numerical results based on the finite element method. © 2009 SICE.

关键词： Finite element method

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Comparison of Transformer Based and Traditional Models on Sentiment Analysis on Social Media Datasets 6

Comparison of Transformer Based and Traditional Models on Se...

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6th International Conference on computer and informatics engineering, IC2IE 2023

作者： Lubis, Arif Ridho Fatmi, Yulia Witarsyah, Deden Politeknik Negeri Medan Department of Computer Engineering and Informatics Medan Indonesia School of Industrial and System Engineering Telkom University Bandung Indonesia

ISBN: (纸本)9798350345162

In the field of computers and natural language processing, there is an interesting sub-field, namely sentiment analysis. Currently, the use of social media Twitter to actively communicate between individuals contains various review data, opinion data, and emotional data from discussions of topics between users on social media. So that the data generated by Twitter social media can identify patterns in the data for the field of sentiment analysis. In the sentiment analysis sub-sector, there are approaches, namely transformer-based models and traditional models, the traditional model includes the naïve Bayes algorithm, support vector machine, and regression have weaknesses in overcoming data complexity in Indonesian language tweets on Twitter social media while the transformer model includes the BERT (Bidirectional Encoder Representations from Transformers) algorithm is often applied because it has advantages in overcoming the complexity of Indonesian sentences in tweets obtained from social media and in the process this model goes through a training stage with large amounts of data then is adjusted in the concept of sentiment analysis. © 2023 IEEE.

关键词： bert naïve bayes sentiment analysis social media

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