scholarly journals Design of Application On/Off Electronic Device with Markov Model Using Speech Recognition on Android

2018 ◽  
pp. 255-262
Author(s):  
Rochman Widyatmoko ◽  
Sugeng Purwantoro E. S. G ◽  
Yoanda Alim Syahbana S
Keyword(s):  
Speech Recognition ◽  
Markov Model ◽  
Noise Level ◽  
Electronic Device ◽  
Electronic Devices ◽  
Test Results ◽  
Human Voice ◽  
Android App ◽  
Testing Accuracy ◽  
Model Algorithm

Electronic devices are supported by a switch that is used to turn the device on and off. Manually pressed switches with distances between remote switches to cause less efficiency in saving human time and manpower. This can be solved by building a system to control electronic devices automatically. The system uses human voice commands to turn on and off electronic devices. The command will be processed into text by the Google Voice Speech Recognition library. The Android app sends human commands that have been processed by Arduino Uno R3 microcontroller. Commands are obtained after the text and data in the database are processed using the Markov Model algorithm. Communication between Android smartphone and microcontroller will be designed through a WIFI network. This system is tested based on noise level with data accuracy level with noise 0-45 dB and obtained 65% result. Based on the test response time obtained that the noise level 0-45 dB obtained results of 5.41 seconds. Based on the test results from the scenario, it can be concluded that the lower the noise generated, the better the system will also respond to commands. From the test suitability get value X = 1, meaning that the system is suitability with error rate 0. In testing accuracy to view status function get value 0 with error level 0. Testing of Markov model algorithm yields the calculated 0.125 algorithms manually and code for each command

scholarly journals Rancang Bangun Mobil Remote Control Android dengan Arduino

2016 ◽  
Vol 3 (1) ◽  
pp. 50 ◽  
Author(s):  
Andi Widiyanto ◽  
Nuryanto Nuryanto
Keyword(s):  
Remote Control ◽  
Electronic Device ◽  
Human Life ◽  
Electronic Devices ◽  
Prototype Model ◽  
Test Results ◽  
Literature Study ◽  
C Language ◽  
Technological Developments ◽  
Arduino Microcontroller

Peralatan elektronik hampir tidak dapat lepas dari kehidupan manusia untuk meningkatkan kemudahan dan kenyamanan dalam pemenuhan kebutuhannya. Aktifitas sehari-hari banyak dilakukan melalui smartphone sebagai alat yang hampir selalu dalam genggaman. Saat ini banyak alat elektronik yang dikendalikan hanya dengan menekan tombol remote. Perkembangan teknologi microcontroller seperti Arduino dapat diintegrasikan dengan alat yang lain, bukan hanya dengan robot saja. Penelitian ini membuat smartphone terhubung dengan mikrokontroler arduino yang digunakan sebagai pengendali alat elektronik. Obyek yang digunakan adalah mobil remote control mainan (RC Car). Metode penelitian yang dilakukan adalah studi literatur dan experiment. Arduino diprogram menggunakan bahasa C untuk menjalankan motor supaya bergerak sesuai dengan data masukan yang dikirimkan melalui Android. Penelitian ini menghasilkan prototype model sebuah alat elektronik yang dikendalikan dengan smartphone Android melalui koneksi bluetooth. Hasil pengujian menunjukkan bahwa kecepatan pairing Android-Arduino lebih dipengaruhi versi android dibandingkan hardware yang terpasang. Jarak antara Arduino-Android tidak berpengaruh besar terhadap kecepatanproses pairing.Electronic equipment can hardly be separated from human life is being used to improve the ease and comfort in the fulfillment of their needs. Daily activities mostly done via smartphone as a device that is nearly always in hand. Today, many electronic devices are controlled simply by pressing the remote button. Technological developments such as the Arduino microcontroller can be integrated with other tools, not only with robots. The objective of this research is to make a smartphone connected to Arduino microcontroller as the electronic appliance controller. Object that was used is a car remote control toys (RC Car). The research method conducted was literature study and experiment. Arduino was programmed using C language to run the motor to move according to the input data that was sent through the android. This research resulted in prototype model of an electronic device that is controlled by android smartphone via a Bluetooth connection. Test results showed that the speed of pairing Android-Arduino was influenced more by the android version than the installed hardware. The distance between the Arduino-Android did not greatly affect the speed of the pairing process.

Implementation of Android Based Speech Recognition for Indonesian Geography Dictionary

2016 ◽  
Vol 7 (2) ◽  
pp. 76-82
Author(s):  
Hugeng Hugeng ◽  
Edbert Hansel
Keyword(s):  
Speech Recognition ◽  
Markov Model ◽  
Hidden Markov Model ◽  
Hidden Markov ◽  
Spoken Word ◽  
Silent Condition ◽  
Word Detection ◽  
Index Terms ◽  
To Receive ◽  
Noisy Condition

We have built an application of speech recognition for Indonesian geography dictionary based on Android operating system, named GAIA. This application uses a smartphone as a device to receive input in the form of a spoken word from a user. The approach used in recognition is Hidden Markov Model which is contained in the Pocketsphinx library. The phonemes used are Indonesian phonemes’ rule. The advantage of this application is that it can be used without internet access. In the application testing, word detection is done with four conditions to determine the level of accuracy. The four conditions are near silent, near noisy, far silent, and far noisy. From the testing and analysis conducted, it can be concluded that GAIA application can be built as a speech recognition application on Android for Indonesian geography dictionary; with the results in the near silent condition accuracy of word recognition reaches an average of 52.87%, in the near noisy reaches an average of 14.5%, in the far silent condition reaches an average of 23.2%, and in the far noisy condition reaches an average of 2.8%. Index Terms—speech recognition, Indonesian geography dictionary, Hidden Markov Model, Pocketsphinx, Android.

Design Of A Voice Controlled Home Automation System Using Deep Learning Convolutional Neural Network (DL-CNN)

2020 ◽  
Vol 8 (1) ◽  
pp. 57-73
Author(s):  
Lery Sakti Ramba
Keyword(s):  
Deep Learning ◽  
Speech Recognition ◽  
Background Noise ◽  
Electronic Devices ◽  
Recognition System ◽  
Background Intensity ◽  
Automation System ◽  
Home Automation ◽  
Speech Recognition System ◽  
Home Automation System

The purpose of this research is to design home automation system that can be controlled using voice commands. This research was conducted by studying other research related to the topics in this research, discussing with competent parties, designing systems, testing systems, and conducting analyzes based on tests that have been done. In this research voice recognition system was designed using Deep Learning Convolutional Neural Networks (DL-CNN). The CNN model that has been designed will then be trained to recognize several kinds of voice commands. The result of this research is a speech recognition system that can be used to control several electronic devices connected to the system. The speech recognition system in this research has a 100% success rate in room conditions with background intensity of 24dB (silent), 67.67% in room conditions with 42dB background noise intensity, and only 51.67% in room conditions with background intensity noise 52dB (noisy). The percentage of the success of the speech recognition system in this research is strongly influenced by the intensity of background noise in a room. Therefore, to obtain optimal results, the speech recognition system in this research is more suitable for use in rooms with low intensity background noise.

Comparative analysis of existing methods for improving reliability of vacuum electronic devices

2019 ◽  
pp. 38-41
Author(s):  
A. A. Korneev
Keyword(s):  
Comparative Analysis ◽  
Electronic Device ◽  
Electronic Devices ◽  
Import Substitution ◽  
Electronic Control ◽  
Electronic Control System ◽  
Vacuum Electronic Devices ◽  
Electric Vacuum ◽  
Rational Control ◽  
Complex Technical Systems

The article presents the results of the study of the filament modes of electronic lamps and ensuring the rational temperature of the cathode. A brief description and comparative analysis of existing methods with the proposed author are given. The dependence diagrams obtained as a result of a real experiment are presented. A new method of rational control of the electric vacuum devices (EVP) filament mode is proposed, thereby increasing the reliability and increasing the durability of the EVP during operation in high-quality and expensive complex technical systems. According to the results of the study, a new specialized electronic device was developed, which allowed to smoothly regulate the supply of the filament voltage, thereby ensuring the rational control of the operation of the EVP. The technique and specialized electronic device are developed on the basis of modern scientific and technical achievements. This made it possible to increase the reliability and efficiency of the electronic control system for solving critical tasks. When implementing the developed device, the problem of import substitution was solved.

scholarly journals Development of Speech Recognition Systems in Emergency Call Centers

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 634
Author(s):  
Alakbar Valizada ◽  
Natavan Akhundova ◽  
Samir Rustamov
Keyword(s):  
Speech Recognition ◽  
Markov Model ◽  
Hidden Markov ◽  
Call Centers ◽  
The Other ◽  
Language Models ◽  
Emergency Call ◽  
Acoustic Model ◽  
Different Types ◽  
Recognition Systems

In this paper, various methodologies of acoustic and language models, as well as labeling methods for automatic speech recognition for spoken dialogues in emergency call centers were investigated and comparatively analyzed. Because of the fact that dialogue speech in call centers has specific context and noisy, emotional environments, available speech recognition systems show poor performance. Therefore, in order to accurately recognize dialogue speeches, the main modules of speech recognition systems—language models and acoustic training methodologies—as well as symmetric data labeling approaches have been investigated and analyzed. To find an effective acoustic model for dialogue data, different types of Gaussian Mixture Model/Hidden Markov Model (GMM/HMM) and Deep Neural Network/Hidden Markov Model (DNN/HMM) methodologies were trained and compared. Additionally, effective language models for dialogue systems were defined based on extrinsic and intrinsic methods. Lastly, our suggested data labeling approaches with spelling correction are compared with common labeling methods resulting in outperforming the other methods with a notable percentage. Based on the results of the experiments, we determined that DNN/HMM for an acoustic model, trigram with Kneser–Ney discounting for a language model and using spelling correction before training data for a labeling method are effective configurations for dialogue speech recognition in emergency call centers. It should be noted that this research was conducted with two different types of datasets collected from emergency calls: the Dialogue dataset (27 h), which encapsulates call agents’ speech, and the Summary dataset (53 h), which contains voiced summaries of those dialogues describing emergency cases. Even though the speech taken from the emergency call center is in the Azerbaijani language, which belongs to the Turkic group of languages, our approaches are not tightly connected to specific language features. Hence, it is anticipated that suggested approaches can be applied to the other languages of the same group.

scholarly journals Bi-Directional Power Flow in Switchgear with Static Transfer Switch Applied at Various Renewable Energies

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3187
Author(s):  
Keon-Woo Park ◽  
Chul-Hwan Kim
Keyword(s):  
Communication System ◽  
Power Flow ◽  
Electronic Device ◽  
Test Sequence ◽  
Test Results ◽  
Distributed Generations ◽  
Prototype Development ◽  
Intelligent Electronic Device ◽  
Bidirectional Power Flow ◽  
Actual Test

In this study, we describe the development of a plug-in type of switchgear that can control bidirectional power flow. This switchgear system can connect distributed generations such as photovoltaic and wind turbine generation, and AC and DC loads. The proposed switchgear system consists of an inverter for connecting distributed generations and DC load, a static transfer switch (STS) that can control and interrupt the bidirectional power flow, and an intelligent electronic device (IED) that can control each facility using a communication system. Since the topology inside the switchgear is composed of DC bus, it can be operated as a plug-in type of system that can be used by simply connecting the converters of various distributed generations to the inverter in the developed switchgear system. In this study, we describe the overall structure of the proposed switchgear system and the operation of the components. In addition, prototypes of each facility are developed and the results of building a small testbed are presented. Finally, we verify the operation of the inverter by performing an experiment on the testbed and show that throughout a test sequence the proposed switchgear system works normally. The contributions of this study are the development of a plug-in type of switchgear for AC/DC and the actual test results presented through prototype development and testbed configuration.

Design and Characteristics of Microfocus X-ray Source with Sealed Tube and Transmissive Target on Diamond Window

2021 ◽  
Vol 79 (6) ◽  
pp. 631-640
Author(s):  
Takaaki Tsunoda ◽  
Takeo Tsukamoto ◽  
Yoichi Ando ◽  
Yasuhiro Hamamoto ◽  
Yoichi Ikarashi ◽  
...  
Keyword(s):  
Power Density ◽  
High Power ◽  
High Speed ◽  
Electronic Device ◽  
High Reliability ◽  
Electronic Devices ◽  
Lithium Ion ◽  
High Power Density ◽  
High Magnification ◽  
X Ray

Electronic devices such as medical instruments implanted in the human body and electronic control units installed in automobiles have a large impact on human life. The electronic circuits in these devices require highly reliable operation. Radiographic testing has recently been in strong demand as a nondestructive way to help ensure high reliability. Companies that use high-density micrometer-scale circuits or lithium-ion batteries require high speed and high magnification inspection of all parts. The authors have developed a new X-ray source supporting these requirements. The X-ray source has a sealed tube with a transmissive target on a diamond window that offers advantages over X-ray sources having a sealed tube with a reflective target. The X-ray source provides high-power-density X-ray with no anode degradation and a longer shelf life. In this paper, the authors will summarize X-ray source classification relevant to electronic device inspection and will detail X-ray source performance requirements and challenges. The paper will also elaborate on technologies employed in the X-ray source including tube design implementations for high-power-density X-ray, high resolution, and high magnification simultaneously; reduced system downtime for automated X-ray inspection; and reduced dosages utilizing quick X-ray on-and-off emission control for protection of sensitive electronic devices.

Canadian Registry of Electronic Device Outcomes: remote monitoring outcomes in the Abbott battery performance alert—a multicentre cohort

EP Europace ◽  
2021 ◽  
Author(s):  
Sharath Kumar ◽  
Jason Davis ◽  
Bernard Thibault ◽  
Iqwal Mangat ◽  
Benoit Coutu ◽  
...  
Keyword(s):  
Remote Monitoring ◽  
Primary Outcome ◽  
Electronic Device ◽  
Electronic Devices ◽  
Cardiac Resynchronization ◽  
Device Performance ◽  
Cardiac Implantable Electronic Devices ◽  
All Cause Mortality ◽  
Multicentre Cohort

Abstract Aims Cardiac implantable electronic devices with device advisories have the potential of device malfunction. Remote monitoring (RM) of devices has been suggested to allow the identification of abnormal device performance and permit early intervention. We sought to describe the outcomes of patients with and without RM in devices subject to the Abbott Premature Battery Depletion (PBD) advisory with data from a Canadian registry. Methods and results Patients with an Abbott device subject to the PBD advisory from nine implantable cardioverter defibrillator (ICD) implanting centres in Canada were included in the registry. The use of RM was identified from baseline and follow-up data in the registry. The primary outcome was detection of PBD and all-cause mortality. A total of 2666 patients were identified with a device subject to the advisory. In all, 1687 patients (63.2%) had RM at baseline. There were 487 deaths during follow-up. At a mean follow-up of 5.7 ± 0.7 years, mortality was higher in those without a remote monitor compared with RM at baseline (24.7% vs. 14.5%; P < 0.001). Pre-mature battery depletion was identified in 36 patients (2.1%) with RM vs. 7 (0.7%) without RM (P = 0.004). Time to battery replacement was significantly reduced in patients on RM (median 5 vs. 13 days, P = 0.001). Conclusion The use of RM in patients with ICD and cardiac resynchronization therapy under advisory improved detection of PBD, time to device replacement, and was associated with a reduction in all-cause mortality. The factors influencing the association with mortality are unknown and deserve further study.

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