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All Journal ICON-CSE Jurnal Qua Teknika
Ade Silvia
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Computer Science & IT Engineering

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Hand Contour Recognition In Language Signs Codes Using Shape Based Hand Gestures Methods Ade Silvia; Nyayu Latifah Husni
ICON-CSE Vol 1, No 1 (2014)
Publisher : ICON-CSE

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The deaf and speech impaired are loosing of hearing ability followed by disability of developing talking skill in everyday communication.  Disability of making normal communication makes the deaf and speech impaired being difficult to be accepted by major normal community.  Communication used is gesture language, by using hand gesture communication. The weakness of this communication is that misunderstanding and limitation, it’s due to hand gesture is only understood by minor group.  To make effective communication in real time, it’s needed two ways communication that can change the code of hand gesture pattern to the texts and sounds that can be understood by other people. In this research, it’s focused on hand gesture recognition using shaped based hand algorithm where this method classifies image based on hand contour using hausdorff and Euclidian distance to determine the similarity between two hands based on the shortest range.  The result of this research is recognizing 26 letters gesture, the accuracy of this Gesture is 85%, from different human hands, taken from different session with different lighting condition and different range of camera from image.  It also can recognize 70% different hand contour.  The different of this research from other researches is the more the objects are, the less the classification of hands size is. Using this method, hands size can be minimized.
PERANCANGAN WIRELESS SENSOR NETWORK MENGGUNAKAN TEKNOLOGI MULTISENSOR SEBAGAI SISTEM MONITORING KUALITAS UDARA Ade Silvia; R.A Halimatussa’diyah2; Rahmad Rizky Aldi; Nyayu Latifah
Jurnal Qua Teknika Vol 10 No 2 (2020): September 2020
Publisher : Universitas Islam Balitar Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/quateknika.v10i2.1189

Abstract

Along with the current development, air quality is very vulnerable to being polluted. Factors that affect air quality are an increase in infrastructure development, factories, motor vehicle fumes and any other human activity. Based on these factors, an air quality monitoring system that is integrated into a Wireless Sensor Network (WSN) system is needed. In this study, a Wireless Sensor Network will be designed using Multisensor Network technology that works in real time to measure pollutant gas levels using the TGS 2442 sensor as a measure of carbon monoxide (CO) , MG811 sensor as a measure of carbon dioxide (CO2) , TGS 2611 sensor as a measure of HydroCarbon (HC), the DHT-11 sensor as a temperature and humidity meter and the SHARPGP2Y1010 sensor as a measure of particulate levels in the air (PM10). The data from this sensor reading is sent to the server using a Raspberry pi microprocessor. Furthermore, the data will be processed until it becomes information that can be used by users or the general public.
Co-Authors Husni, Nyayu Latifah Nyayu Latifah R.A Halimatussa’diyah2 Rahmad Rizky Aldi