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Analysis of Hybrid Feature and Data Adaptation Techniques for User-Dependent and User-Independent Driver Condition Recognition
Jimmy Abdel Kadar;Nahdatul Fhadilla;Irwan Susanto;Winita Sulandari;Wuwus Ardiatna;Raden Sandra Yuwana;Asri Rizki Yuliani;Candra Nur Ihsan;Hilman F. Pardede
2024 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)
Year: 2024 | Conference Paper |
Distracted drivers are one cause of many traffic accidents. Therefore, there is a need for a system that can provide warnings to distracted drivers. Many accurate systems have been reported in previous studies, but some systems cannot recognize new users. This research seeks to develop an accurate and robust system to detect driver distraction using the Convolutional Neural Network (CNN) model for...Show More
Analysis of Hybrid Feature and Data Adaptation Techniques for User-Dependent and User-Independent Driver Condition Recognition
Jimmy Abdel Kadar;Nahdatul Fhadilla;Irwan Susanto;Winita Sulandari;Wuwus Ardiatna;Raden Sandra Yuwana;Asri Rizki Yuliani;Candra Nur Ihsan;Hilman F. Pardede
Year: 2024 | Conference Paper |
Experiment Of Kidney Ultrasound Images Processing Using Various Filter Utilizing Streamlit
2024 International Seminar on Intelligent Technology and Its Applications (ISITIA)
Year: 2024 | Conference Paper |
Ultrasound is still considered a significant noninvasive imaging technique. However, ultrasound images are generally contaminated with noise. It is possible to reduce grain noise in ultrasound images by using various filters. In this paper, each image is then filtered using non-adaptive, adaptive, and morphological filter utilizing Streamlit. Filters will be applied to four images produced by diff...Show More
Measurement of Wireless on Body Propagation Characteristics from e-Health Monitoring Wearable Device
Haryo Dwi Prananto;Aditia Nur Bakti;Wuwus Ardiatna;Irawan Sukma;Dwi Mandaris
2023 IEEE 7th Global Electromagnetic Compatibility Conference (GEMCCON)
Year: 2023 | Conference Paper |
The wearable medical device which is worn on the human body can affect electromagnetic (EM) propagation due to the absorption properties of the human body. Therefore, it is essential to investigate this occurrence, especially in monitoring medical devices, namely smartwatches when it is attached to the human body. The characteristic measurements of wireless on-body propagation which is carried out...Show More
EMF Characteristic Inside the Infant Incubator Compartment
Wuwus Ardiatna;Hutomo Wahyu Nugroho;Siddiq Wahyu Hidayat;Irawan Sukma;Ihsan Supono;Dwi Mandaris
2021 Asia-Pacific International Symposium on Electromagnetic Compatibility (APEMC)
Year: 2021 | Conference Paper |
Infant incubator is one of MEEs (Medical electrical equipment) that is largely used to preserve preterm and sick babies from postnatal stressors. However, their motors produce high electromagnetic fields (EMFs) which could affect the incubator as well as its occupants. In this paper, it has been done the EMF measurement to study and to quantify the level of EMF by mapping the magnetic field distri...Show More
Characterization of Polygonal Planar Loop Probe for Near-Field Measurement Application
Haryo Dwi Prananto;Priyo Wibowo;Tyas Ari Wahyu Wijanarko;Wuwus Ardiatna;R. Harry Arjadi;Achmad Munir
2021 Asia-Pacific International Symposium on Electromagnetic Compatibility (APEMC)
Year: 2021 | Conference Paper |
Every electronic equipment can emit electromagnetic interference and interfere with other electronic components and equipment. To find out how much Electromagnetic Interference (EMI) is generated due to electronic device components, near field measurements are needed. The planar loop probe is a near field measurement tool. In this study, a polygonal planar loop was designed for near field applicat...Show More
Analysis of Kidney Ultrasound Images Characterization Using Statistical Moment Descriptor
Wuwus Ardiatna;Adhi Harmoko Saputro;Djarwani Soeharso Soejoko
2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA)
Year: 2018 | Conference Paper |
Cited by: Papers (2)
Commonly the abnormalities of renal diseases were diagnosed and described using morphological or radiological nomenclature. In distinguishing abnormalities, especially kidney diseases, it is important to characterize the ultrasound images more objectively. This study used The Statistical Moment Descriptor (SMD) with the pixel-level spatial distribution of B-mode ultrasound to analyze three types o...Show More
EMI risk analysis via dedicated evaluation of the susceptibility of medical devices
Wuwus Ardiatna;Dwi Mandaris;Aditia Nur Bakti;Siddiq Wahyu Hidayat;Frank Leferink
2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility (EMC/APEMC)
Year: 2018 | Conference Paper |
Cited by: Papers (1)
This paper focuses on the Electro-Magnetic Interference Risk Analysis of medical devices via the evaluation of their susceptibility. Medical devices for supporting patients' life are frequently applied in vulnerable environments such as hospitals and surgery rooms. The susceptibility analysis is based on a GTEM testing method derived from ANSI C63.18 and is applied to three different medical devic...Show More
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