http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Abdul Manaf Abdullah,Dasmawati Mohamad,Tuan Noraihan Azila Tuan Rahim,Hazizan Md Akil,Zainul Ahmad Rajion 대한기계학회 2019 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.33 No.5
This study aims at assessing the effect of a narrow infill density gap on the compressive properties of 3D printed commercial carbon fibre reinforced ABS. Compressive specimens, with infill densities of 70, 80, 90 and 100 % were 3D printed via an FDM 3D printer and evaluated. The differences in compressive properties at infill densities of 80 and 90 % were statistically not significant although a strong correlation was quantified between the infill density and the compressive properties. This finding can be further employed to determine an appropriate infill density for targeted mechanical properties at a low material consumption for specific applications.
Fungal endophyte Penicillium janthinellum LK5 improves growth of ABA-deficient tomato under salinity
Khan, Abdul Latif,Waqas, Muhammad,Khan, Abdur Rahim,Hussain, Javid,Kang, Sang-Mo,Gilani, Syed Abdullah,Hamayun, Muhammad,Shin, Jae-Ho,Kamran, Muhammad,Al-Harrasi, Ahmed,Yun, Byung-Wook,Adnan, Muhammad Springer-Verlag 2013 World journal of microbiology & biotechnology Vol.29 No.11
Exploring the Relation Between EMG Pattern Recognition and Sampling Rate Using Spectrogram
Jingwei Too,Abdul Rahim Abdullah,Norhashimah Mohd Saad,Nursabillilah Mohd Ali,Tengku Nor Shuhada Tengku Zawawi 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.2
The application of electromyography (EMG) has shown great success in rehabilitation engineering. With the existing multiple- channel EMG recording system, the detection and classifi cation of EMG pattern have become viable. The purpose of this study is to investigate the relation between sampling rate and EMG pattern recognition by using spectrogram. The features are extracted from spectrogram coeffi cients and the principal component analysis is applied for dimensionality reduction. In addition, the optimal Hanning window size is identifi ed and selected before performance evaluation. For noise evaluation, the additive white Gaussian noise (AGWN) is added to the EMG signal at 30, 25, 20 dB SNR. The results illustrated that the 512 Hz sampling rate can maintain a small decrement of 0.76% accuracy compared to 1024 Hz. However, when the AGWN is added, the 256 and 512 Hz sampling rates showed a greater reduction in overall classifi cation performance. For a lower SNR, the gaps in classifi cation accuracy between 1024 Hz, 512 Hz and 256 Hz sampling rates are obviously presented. It signifi es that reducing the sampling rate lower than 1024 Hz might not be a good choice since the noise and artifact have to be taken into consideration in a real system.
EMG Pattern Recognition Using TFD for Future Control of In-Car Electronic Equipment
Ezreen Farina Shair,Radhi Hafizuddin Razali,Abdul Rahim Abdullah,Nurul Fauzani Jamaluddin 한국지능시스템학회 2022 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.22 No.1
Distracted drivers contribute to motor vehicle accidents. The maneuvering of in-car electronic equipment and controls, which typically requires the driver’s hands to be off the wheel and eyes off the road, are important factors that distract drivers. To minimize the interference of such distractions, a new control method is presented for detecting and decoding human muscle signals, which is known as electromyography (EMG). It is associated with various fingertips and pressures, and allows the mapping of various commands to control in-car equipment without requiring hands off the wheel. The most important step to facilitate such a scheme is to extract a highly discriminatory feature that can be used to separate and compute different EMG-based actions. The aim of this study is to accurately analyze EMG signals and classify finger movements that can be used to control in-car electronic equipment using a time–frequency distribution (TFD). The average root mean square voltage of seven participants and fourteen different finger movements are extracted as EMG features using a TFD. Four machine learning classifiers, i.e., support vector machine (SVM), decision tree, linear discriminant, and K-nearest neighbor (KNN), are used to classify pointing finger classes. The overall accuracy of the SVM precedes that of the other classifiers (89.3%), followed by decision tree (57.1%), linear discriminant (34.5%), and KNN (27.4%). The findings of this study are expected to be used in real-time applications that require both time and frequency information. Integrating the EMG signal to control in-car electronic equipment is expected to reduce the number of motor vehicle crashes globally.
Rendana Muhammad,Razi Idris Wan Mohd,Abdul Rahim Sahibin,Ghassan Abdo Hazem,Almohamad Hussein,Abdullah Al Dughairi Ahmed 한국산림과학회 2023 Forest Science And Technology Vol.19 No.3
Context: It is essential to assess the suitable habitat for elephants in order to mitigate the effects of forest fragmentation on conservation. Aims: This study aimed to estimate the potential suitable habitats for Sumatran elephants in the fragmented forest in the Padang Sugihan wildlife reserve area in southern Sumatra, Indonesia. Methods: The habitat suitability was analyzed using some environmental factors such as slope, elevation, land cover, distance to rivers, and distance to agricultural areas. The remote sensing, geographic information system (GIS), and MaxEnt model were used to determine the potential habitat suitability for Sumatran elephants. Results: This study revealed areas of suitable habitat were evenly distributed throughout the study area, with the composition being suitable (45%), highly suitable (5%), and less suitable (50%). This study revealed the most suitable habitats were found in dense forest areas (gelam or Melaleuca cajuputi forest), which were highly affected by river adjacency, whereas agricul- tural areas resulted in constrained suitability and fragmentation of forested areas. Conclusions: As a whole, the estimation of elephant habitat using remote sensing and GIS may guide the development of conservation strategies for elephant conservation in this region. KEY MESSAGE The Sumatran elephant (Elephas maximus sumatranus) is on the Red List of the International Union for Conservation of Nature as a species that is “Critically Endangered.” The population of elephants has steadily declined in the Sumatra region, which is characterized by peat swamp forests and a tropical rainforest climate and is vulnerable to habitat degradation.
Rendana Muhammad,Razi Idris Wan Mohd,Abdul Rahim Sahibin,Ghassan Abdo Hazem,Almohamad Hussein,Abdullah Al Dughairi Ahmed,Albanai Jasem A. 한국산림과학회 2023 Forest Science And Technology Vol.19 No.3
Mangrove trees have a crucial role in providing habitat and breeding for various aquatic species and averting coastal erosion caused by strong waves, tidal surges, and storm surges. Currently, the mangrove area along the Sungsang coast in South Sumatra, Indonesia, has been degraded by human activities like agriculture, fish ponds, and other infrastructure developments. In this study, we used the normalized difference built-up index (NDBI), the normalized difference vegetation index (NDVI), and land surface temperature (LST) analysis for observing urban development and vegetation cover in the Sungsang mangrove area. This study aimed to analyze the effects of NDBI and NDVI on the LST change in the Sungsang mangrove area. Results revealed that the mangrove vegetation significantly reduced (by 23%) during 2013–2022 years, in contrast to the built-up development and the LST gradually increased. The area with a temperature value greater than 20 C was character- ized by mangrove degradation, expanding around the peripheral area. There was a strong positive correlation between LST and NDBI (r ¼ 0.90, p < 0.01), and a moderate correlation between LST and NDVI (r ¼ 0.74, p < 0.05). Thus, the built-up index greatly influenced the vegetation area within the study site. This study assists the authority in comprehending their recent mangrove status and promoting sustainable actions for mangrove vegetation and urban management.
Madihah Halim,Ameyra Aman-Zuki,Syarifah Zulaikha Syed Ahmad,Abdullah Muhaimin Mohammad Din,Atikah Abdul Rahim,Mohamed Mazmira Mohd Masri,Badrul Munir Md. Zain,Salmah Yaakop 한국응용곤충학회 2018 Journal of Asia-Pacific Entomology Vol.21 No.4
Parasitoid wasps (Hymenoptera) play a significant role in reducing the pest population of the bagworm species Metisa plana. This study presents the abundance and DNA barcoding information of eight parasitoid wasps species, Dolichogenidea metesae (47%), Brachymeria carinata (19%), Buysmania oxymora (12%), Goryphus bunoh (7%), Pediobius anomalus (5%), Eupelmus cotoxanthae (2%), Apanteles aluella (5%), Apanteles sp.1 (3%) and that emerged from M. plana collected from three highly infested oil palm plantations in Selangor (west), Perak (north) and Johor (south) in Peninsular Malaysia. Samples of infested M. plana were collected from the field and reared in a rearing room. The parasitoid wasp species D. metesae recorded the highest emergence numbers and the broadest presence in all the sampling sites. The relationships among the parasitoids species were estimated and visualized using Neighbor Joining (NJ) phylogenetic analyses with the Ceraphronidae family as an outgroup. The resulting NJ tree showed that the identified parasitoid wasps were successfully classified into specific species and supported with bootstraps values between 55% to 100%. This study provides important information on potential biological control agents for M. plana that may be useful for the Malaysian oil palm industry.