Smart Car: Digital Controlling System Using Android Smartwatch Voice Recognition

Tombeng, Marchel Thimoty; Najoan, Regi; Karel, Noviko

doi:10.1109/citsm.2018.8674359

Cited by 14 publications

(5 citation statements)

References 1 publication

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“…ada perkembangan sekarang ini kemajuan bidang teknologi sangatlah pesat, perkembangan teknologi dan kebutuhan manusia yang semakin meningkat merupakan dua hal yang saling mempengaruhi satu sama lain [1]. Banyaknya persaingan-persaingan dalam dunia komputerisasi, mengakibatkan manusia megubah peralatan manual menjadi sistem peralatan digital berbasis program komputer, ini di karenakan penggunaan komputer dapat mempermudah pekerjaan dan mempunyai tingkat ketelitian yang cukup tinggi.…”

Section: Pendahuluanunclassified

Implementation of Wireless Xbee Autentication System of Motorcycle

Tombeng

Taghulihi

Waworundeng

2019

CogITo Smart Journal

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The increase of two-wheeled vehicles in Indonesia can be identified as a primary need for the community, which is directly proportional to the number of population of vehicles in Indonesia which has increased every year, and the crime rate in two-wheeled vehicles has increased from year to year. This phenomenon involves many parties creating and developing various types of technology and systems to reduce the impact of crime on two-wheeled vehicles. In designing and developing this system, the researchers integrates several modules including Arduino Mega 2560, Arduino Uno, RFID implants, and Wireless Xbee which perform wireless communication tool between the two microcontrollers. The modules are integrated into a digital module to replace the conventional system for turning on and off the motorcycle’s engine. By using the prototyping process model the development of this system can be enhance or developed more in future to improve the security system on motorcycle vehicles.

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Section: Pendahuluanunclassified

Implementation of Wireless Xbee Autentication System of Motorcycle

Tombeng

Taghulihi

Waworundeng

2019

CogITo Smart Journal

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“…The availability of water in the planting medium is a very important thing to deliver the element of harassment and care for Barangayema [10], because irregular and excessive watering will make the growth of Barangayema less maximum, the resulting leaf color does not look beautiful, fuzzy and dead [11]. Generally, aglonema irrigation is done manually, because these plants have a sensitivity in water absorption, which, when a lack of water will result in death for the plant [12], and excess water will cause degradation of the plant roots) [13].…”

Section: Introductionmentioning

confidence: 99%

“…According to analysis by the McKinsey Global Institute, IoT is a technology that connects machines, equipment, other physical objects with sensors and network aquaters to obtain data and manage its own performance [16]. This technology allows all devices connected to the Internet to be controlled and monitored using Android anywhere and anytime [10]. To support the monitoring process, a NodeMCU ESP8266 microcontroller is required, which is an electronic board based on the ESP 8266 chip with the ability to perform microcontrollers (monitoring and controlling) and also internet connections (WiFi), soil moisture sensors, and soil pH sensors [17].…”

Section: Introductionmentioning

confidence: 99%

Soil Moisture Monitoring System and Soil PH on IoT-based Aglaonema Crop

Eso,

Safiuddin,

Kalam

2023

CRC

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Aglaonema is an ornamental plant with soft, watery (herbaceous) stems that dislikes too moist media and needs precise irrigation. Using Internet of Things (IoT) technology, which integrates soil moisture sensors YL-69 Soil moisture sensor, soil pH sensors, and NodeMCU ESP8266 as a microcontroller with the Thingspeak IoT Platform and the Blynk Application via Android, it is possible to monitor soil moisture and pH, which is a determining factor in the planting media for ornamental plant cultivation. Additionally, it may enable remote control operation of a watering system for ornamental plants that holds soil moisture when it exceeds a predetermined threshold. The design of an IoT (Internet of Things)-based soil moisture and pH monitoring system has successfully been applied to the cultivation of ornamental plants. This is expected to help owners of cosmetic plant businesses make decisions based on online information about soil moisture and pH values.

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“…There are multiple examples of such systems, e.g. virtual assistants ( [1]: Google Assistant, Apple Siri, Amazon Alexa, Microsoft Cortana), car control systems [2], robot control systems [3]. The number of applications and systems which employ a speech-based interface is constantly growing.…”

Section: Introductionmentioning

confidence: 99%

Evolution-by-Coevolution of Neural Networks for Audio Classification

Funika,

Koperek,

Wiewióra

2023

cai

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Neural networks are increasingly used in recognition problems, including static and moving images, sounds, etc. Unfortunately, the selection of optimal neural network architecture for a specific recognition problem is a difficult task, which often has an experimental nature. In this paper we present the use of evolutionary algorithms to obtain optimal architectures of neural networks used for audio sample classification. We extend the Pytorch DNN Evolution tool implementing coevolutionary algorithms which create groups of neural networks that solve a given problem with a certain accuracy, with the support for problems in which training data consists of audio samples. In this paper we use the co-evolutionary approach to solve a sample sound classification problem. We describe how the sound data was prepared for processing with the use of the Mel Frequency Cepstral Coefficients (MFCC). Next we present the results of experiments conducted with the AudioMnist dataset. The obtained neural network architectures, whose classification accuracy is comparable to the classification accuracy attained by the AlexNet neural network, and their implications are discussed.

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Smart Car: Digital Controlling System Using Android Smartwatch Voice Recognition

Cited by 14 publications

References 1 publication

Implementation of Wireless Xbee Autentication System of Motorcycle

Implementation of Wireless Xbee Autentication System of Motorcycle

Soil Moisture Monitoring System and Soil PH on IoT-based Aglaonema Crop

Evolution-by-Coevolution of Neural Networks for Audio Classification

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