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Young people’s preferences in public spaces
Purpose: Few public places are designed with due consideration to the needs and preferences of teens. Teens in public spaces are often viewed with apprehension from other user groups. Teens hanging out in public spaces are always observed with caution and are sometimes associated with negative behaviour by other community members. In designing public spaces that are suitable for the teens and not
Enhancing Spectral Efficiency of Ground-to-HAP FSO System with Adaptive MASK in Presence of Beam-wander and AoA Fluctuation
High Altitude Platform Station or HAP is an indispensable component for the upcoming wireless communication technologies. This paper presents an evaluation of the performance of a Ground-to-HAP communication system using free-space optical (FSO) technology. The performance of the system is determined by three factors: channel state, pointing error, and angle-of-arrival (AoA) fluctuation
An Optimized Non-Invasive Blood Glucose and Temperature Body Measurement System
Diabetes is a disease in which the body does not adequately process food for energy production. Most of the food we consume is converted into glucose, or sugar, which our bodies use for energy. Moreover, the pancreas, which is an organ located near the stomach, produces insulin, a hormone that aids in the transport of glucose into our bodies' cells. Diabetes occurs when your body either does not
Dynamic Modeling and Identification of the COVID-19 Stochastic Dispersion
In this work, the stochastic dispersion of novel coronavirus disease 2019 (COVID-19) at the borders between France and Italy has been considered using a multi-input multi-output stochastic model. The physical effects of wind, temperature and altitude have been investigated as these factors and physical relationships are stochastic in nature. Stochastic terms have also been included to take into
Single-Cycle MIPS Processor based on Configurable Approximate Adder
Enhancing computer architecture performance is a significant concern for architecture designers and users. This paper presents a novel approach to computer architecture design by using an approximate adder with configurable accuracy in a single-cycle MIPS processor as a study case. Using approximate adders decreased the delay on the expense of the design area. Using approximate computing with the
Recommendations on Streaming Data: E-Tourism Event Stream Processing Recommender System
The Association for Computing Machinery ACM recommendation systems challenge (ACM RecSys) [1] released an e-tourism dataset for the first time in 2019. Challenge shared hotel booking sessions from trivago website asking to rank the hotels list for the users. Better ranking should achieve higher click out rate. In this context, Trivago dataset is very important for e-tourism recommendation systems
Using Knowledge Graph Embeddings in Embedding Based Recommender Systems
This paper proposes using entity2rec [1] which utilizes knowledge graph-based embeddings (node2vec) instead of traditional embedding layers in embedding based recommender systems. This opens the door to increasing the accuracy of some of the most implemented recommender systems running in production in many companies by just replacing the traditional embedding layer with node2vec graph embedding
Cooperative MEC With Non-Uniform User Density: Resource Planning and State Control Optimization
Mobile edge computing (MEC) allows mobile devices to offload computationally intensive tasks to nearby base stations equipped with computational resources. MEC also provides a solution for supporting low latency responses. However, MEC increases the system power consumption by adding extra computational units. It is important to carefully plan computational resources to achieve a balance between
Providing a labeled statements dataset to enhance the trans-compilation-based tools
Nowadays Mobile Applications are a necessity as everyone is depending on them in their everyday tasks. We use them for communication, entertainment, and utilities. Every day new devices are introduced to the market. The diversity in these devices resulted in many platforms like Android and iOS. These different mobile platforms used by different companies and manufacturers made it challenging for
A review of upper limb robot assisted therapy techniques and virtual reality applications
Impairments in the sensorimotor system negatively impact the ability of individuals to perform daily activities autonomously. Upper limb rehabilitation for stroke survivors and cerebral palsy (CP) children is essential to enhance independence and quality of life. Robot assisted therapy has been a bright solution in the last two decades to promote the recovery process for neurological disorders