In this work, we will present the rectifications that we brought on Recursive Entity Modeling Method into lasts articles. Then, we will establish the Recursive Entity Modeling Method global conceptual diagram in order to conceive a space name and database for this method in future works. Therefore, in the first paragraph, we will present an overview of the Recursive Entity Modeling Method conceptual model, then, in a second paragraph, we will present Recursive Entity Modeling Method revisited el...
The motivation of this study is to develop a compact offline recognition model for Khmer handwritten text that would be successfully applied under limited access to high-performance computational hardware. Such a task aims to ease the ad-hoc digitization of vast handwritten archives in many spheres. Data collected for previous experiments were used in this work. The one-against-all classification was completed with state-of-the-art techniques. A compact deep learning model (2+1CNN), with two con...
Internet of Things (IoT) and fuzzy logic are very useful in increasing the efficiency and effectiveness of a system, this study applies both to the street lighting systems. The prototype of a street lighting control and monitoring system has been completed. The status of lights that are on or off and the value of the light intensity can be monitored by using IoT. The intensity of the light is fuzzy controlled by utilizing the presence of vehicles and pedestrians around the lights. The prototype ...
The difficulty of the intrusion detection system in heterogeneous networks is significantly affected by devices, protocols, and services, thus the network becomes complex and difficult to identify. Deep learning is one algorithm that can classify data with high accuracy. In this research, we proposed deep learning to intrusion detection system identification methods in heterogeneous networks to increase detection accuracy. In this paper, we provide an overview of the proposed algorithm, with an ...
#2Norulhusna Ahmad(UTM: Universiti Teknologi Malaysia)H-Index: 5
Last. Norliza Mohd Noor(UTM: Universiti Teknologi Malaysia)H-Index: 13
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Autism Spectrum Disorder (ASD) is a neurological-related disorder. Patients with ASD have poor social interaction and lack of communication that lead to restricted activities. Thus, early diagnosis with a reliable system is crucial as the symptoms may affect the patient’s entire lifetime. Machine learning approaches are an effective and efficient method for the prediction of ASD disease. The study mainly aims to achieve the accuracy of ASD classification using a variety of machine learning appro...
Last. Biplab Banerjee(IITB: Indian Institute of Technology Bombay)H-Index: 10
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The evolution of technology and availability of voluminous satellite images are bringing a new scenario in satellite image classification were a novel method for predictive analysis of satellite images for land cover classification needs to be devised. The predictive analysis of these rapidly changing, voluminous data requires a performance efficient method to assess tree canopy in urban areas. Tree canopy assessment depends on weather condition as well as it varies with geographical region. As ...
Indonesia is an agrarian country where most of population work as farmers, various planting media have been developed in Indonesia such as using greenhouses. Greenhouse is one of very promising planting media for plant cultivators, because it can be a solution to challenges of extreme climate change, with greenhouse media control of state of the room can be controlled easily, using technologies such as automatic watering systems, air temperature control, air humidity and soil moisture in a green...
The gait cycle prediction model is a key technique to control assistive rehabilitation devices such ad exoskeleton or orthosis. At the current state, the development of human gait model uses mathematical approaches, while the dynamic characteristics of human physiology give limitation to the current approach. The existing human gait cycle prediction models require extensive kinematic and kinetic data of human body as input parameters, and the measurement of them needs special equipment, thus ena...
Last. Alison F Bell(UOW: University of Wollongong)H-Index: 8
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This paper presents a grip measurement system that comprises of Force sensing resistor and flex sensor to evaluate the condition of the hand. The system is tested by gripping a pencil and a cylindrical object by wearing a glove, to determine the condition of the hand. FSR evaluates the force applied by the different parts of the palm on the object being grasped. Flex sensor evaluates the bending of the fingers and thumb. The data from the sensors is then compared with existing data to evaluate t...