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EAI Endorsed Transactions on Context-aware Systems and Applications
ISSN 2409-0026 · European Alliance for Innovation (EAI) · 114 artikel di indeks
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Influence of Task-evoked Mental Workloads on Oculo-motor indices and their connections
The frequency of microsaccades is often used as a measurement of eye movement in order to estimate the level of effort required, because some indices of oculo-motors suggest the level of mental activity. In an experiment involving several task-manipulation levels, ocular information including…
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Spatiotemporal lightmorphic computing for Carpathian roads
Energy consumption optimization by predicting vehicle behaviour in a dynamic environment represents an active research topic for the automotive industry. As vehicles are increasingly being equipped with driving assistance systems that function under dynamic driving conditions, a trajectory specific…
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A method for integrating GIS and big data platforms
Geographic Information System (GIS) has been played an important role in many applications of our daily life since 1970. Recently, with the rapid development of new technologies, earth’s data increases explosively. Many studies have been proposed to extend big data platforms with spatial data…
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Air Quality Monitoring Systems with Multiple Data Sources for Ho Chi Minh City
In this paper, we present our proposed air quality monitoring system with multiple data sources for smart cities. We deploy our system in one of the biggest cities in Vietnam, Ho Chi Minh City. The proposed system uses data collected by our sensors and extracted from remote sensing images. The…
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Reproducibility of AOD Algorithm: An Experimental evaluation for Key-Predictors Identification
INTRODUCTION: Today surveillance systems are widespread across the globe for monitoring of various activities.Abandoned Object Detection (AOD) and identifying its location is one of them. In this paper, we evaluated thereproducibility of an existing AOD algorithm on benchmark video…
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Energy Efficiency to Improve Network Life Time Using Particle Swarm Optimization Algorithm
Remote Sensor Networks (WSNs) have a developing innovation for different applications in reconnaissance, condition,natural surroundings observing, medicinal services and fiasco administration. It has monitor through environment by usingsensing device that means of physical properties. WSN is a…
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Toward Computing Linguistic Fuzzy Graphs And Applying to Illegal Immigration Problem
In this paper, we study linguistic fuzzy graph properties which consist of fuzzy paths, cut vertex and bridge. We use hedge algebra and linguistic variables for modeling to reduce complexity in computation. Modeling the Illegal immigration problem is also introduced.
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Essential Context-derived Reasons Formation from Context Information of Museum Ubiquitous Visitors
INTRODUCTION: Recent advances in ubiquitous computing technologies have enabled anywhere, anytimepersonalized services to the museum ubiquitous visitors without any explicit requests. The system utilizes visitor, device, network, and other application related context information to provide required…
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Review of Network on Chip Routing Algorithms
System on chip (SoC) is an integrated circuit in which components are communicating through the bus interconnection system. Network on chip (NoC) is a communication network for a multiprocessor system on chip (MPSoC). In NoC architecture node/ component of MPSOC are communicating through a network…
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User Control Support in Smart Homes
A smart home is a context-aware system that adapts itself autonomously in response to context to satisfy user needs and to improve safety, security, resource use, etc. On the one hand, software autonomy serves the basic purpose of pervasive computing by reducing interaction with the users, easing…
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Explanation of the Convolutional Neural Network Classifying Chest X-Ray Images Supporting Pneumonia Diagnosis
Medical images are valuable sources for disease diagnosis. Besides, advancements in deep learning in recent years havebeen supporting disease diagnosis methods based on images to obtain numerous achievements. However, deep learningalgorithms still work as a black-box so it is difficult to interpret…
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Automatic FPGA-based Hardware Accelerator Design: A Case Study with Image Processing Applications
We present a case study of automatic FPGA-based hardware accelerator design using our proposed framework with the image processing domain. With the framework, the ultimate systems are optimized in both performance and energy consumption. Moreover, using the framework, designers can implement FPGA…
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Ant Colony-based Tabu List Optimization for Minimizing the Number of Vehicles in Vehicle Routing Problem with Time Window Constraints
The Vehicle Routing Problem consists in finding a routing plan for vehicles of identical capacity to satisfy the demands of a set of customers. Time window constraints mean that customers can only be served within a pre-defined time window. Researchers have intensively studied this problem because…
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Prediction of Pineapple Sweetness from Images Using Convolutional Neural Network
The objective of this research is to propose a deep learning based-prediction model for pineapple sweetness. Inthis research, we use a Convolutional Neural Network (CNN) to predict sweetness of pineapples from images.The dataset contains 4,860 pineapple images for training. Based on the CNN…
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Improving farmers’ net revenue in traditional context: Analytic Hierarchy Process, Expert System, and Linear Programming
The low yield of the agricultural sector in Sub-Saharan Africa (SSA) is not solely due to the type of agriculture (mainlytraditional), but also to the crop selection process which is typically based on impressions or past experience. This approachcannot always ensure an optimal crop selection even…
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Towards an Online Empathy Assisted Counselling Web Application
INTRODUCTION: In today's society mental health is becoming increasingly important. As a result, more and more individuals need guidance and counselling. This care giving becomes even more important in a person’s life during times of hardship, for instance during pandemics like COVID-19 where social…
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Open Data for Environment Sensing: Crowdsourcing Geolocation Data
There are numerous situations where the digital representation of the environment appears critical for understanding and decision-making: threats on soils, water, seashores, risk of fires, pollutions are evident applications. If spatial cellular decomposition is evidence in the more common…