Context-Aware Resource Allocation in Cellular Networks

We define and propose a resource allocation architecture for cellular networks. The architecture combines content-aware, time-aware and location-aware resource allocation for next generation broadband wireless systems. The architecture ensures content-aware resource allocation by prioritizing real-time applications users over delay-tolerant applications users when allocating resources. It enables time-aware resource allocation via traffic-dependent pricing that varies during different hours of day (e.g. peak and off-peak traffic hours). Additionally, location-aware resource allocation is integrable in this architecture by including carrier aggregation of various frequency bands. The context-aware resource allocation is an optimal and flexible architecture that can be easily implemented in practical cellular networks. We highlight the advantages of the proposed network architecture with a discussion on the future research directions for context-aware resource allocation architecture. We also provide experimental results to illustrate a general proof of concept for this new architecture.Comment: (c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work

INTERACTIVE EMIRATE SIGN LANGUAGE E-DICTIONARY BASED ON DEEP LEARNING RECOGNITION MODELS

According to the ministry of community development database in the United Arab Emirates (UAE) about 3065 people with disabilities are hearing disabled (Emirates News Agency - Ministry of Community Development). Hearing-impaired people find it difficult to communicate with the rest of society. They usually need Sign Language (SL) interpreters but as the number of hearing-impaired individuals grows the number of Sign Language interpreters can almost be non-existent. In addition, specialized schools lack a unified Sign Language (SL) dictionary, which can be linked to the Arabic language being of a diglossia nature, hence many dialects of the language co-exist. Moreover, there are not sufficient research work in Arabic SL in general, which can be linked to the lack of unification in the Arabic Sign Language. Hence, presenting an Emirate Sign Language (ESL) electronic Dictionary (e-Dictionary), consisting of four features, namely Dictation, Alpha Webcam, Vocabulary, and Spell, and two datasets (letters and vocabulary/sentences) to help the community in exploring and unifying the ESL. The vocabulary/sentences dataset was recorded by Azure Kinect and includes 127 signs and 50 sentences, making a total of 708 clips, performed by 4 Emirate signers with hearing loss. All the signs were reviewed by the head of the Community Development Authority in UAE for compliance. ESL e-Dictionary integrates state-of-the-art methods i.e., Automatic Speech recognition API by Google, YOLOv8 model trained on our dataset, and an algorithm inspired by bag of words model. Experimental results proved the usability of the e-Dictionary in real-time on laptops. The vocabulary/sentences dataset will be publicly offered in the near future for research purposes

Network MIMO with Partial Cooperation between Radar and Cellular Systems

To meet the growing spectrum demands, future cellular systems are expected to share the spectrum of other services such as radar. In this paper, we consider a network multiple-input multiple-output (MIMO) with partial cooperation model where radar stations cooperate with cellular base stations (BS)s to deliver messages to intended mobile users. So the radar stations act as BSs in the cellular system. However, due to the high power transmitted by radar stations for detection of far targets, the cellular receivers could burnout when receiving these high radar powers. Therefore, we propose a new projection method called small singular values space projection (SSVSP) to mitigate these harmful high power and enable radar stations to collaborate with cellular base stations. In addition, we formulate the problem into a MIMO interference channel with general constraints (MIMO-IFC-GC). Finally, we provide a solution to minimize the weighted sum mean square error minimization problem (WSMMSE) with enforcing power constraints on both radar and cellular stations.Comment: (c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work

Antimicrobial efficacy of Nonchlorhexidine non-Alcohol containing mouthrinses

Magister Chirurgiae Dentium - MChD (Oral Medicine and Periodontics)Aim: to compare antimicrobial efficacy of three different non-chlorhexidine non-alcohol containing mouthrinses. Objectives: to test antimicrobial efficacy of Colgate total®, Biobalance mouthwash® and Listerine Zero® against Streptococcus mutans, Staphylococcus aureus, Candida albicans, Enterococcus faecalis and the aerobic and facultative anaerobic organisms cultured from the collected oral saliva. Materials and methods: fourteen saliva samples were collected from staff members who fit the inclusion criteria along with fourteen pure cultures of each of the tested microorganisms. All samples were cultured in agar plates. Four sterile, 5mm discs were used for each plate, each representing one of the tested mouthrinses. Each disc was immersed for one minute and then deposited on sterile gauze to remove excess fluid. Then plates were incubated for 24 hours at 37 ? Celsius. Inhibition zones created around the discs were measured using an electronic caliber. Results: most of the tested mouthrinses showed antimicrobial efficacy against tested microorganism. Differences between them were statistically significant (p. value =0.0001). The order in terms of antimicrobial efficacy was Colgate total®; Biobalance mouthwash®; Listerine Zero®

A Price Selective Centralized Algorithm for Resource Allocation with Carrier Aggregation in LTE Cellular Networks

In this paper, we consider a resource allocation with carrier aggregation optimization problem in long term evolution (LTE) cellular networks. In our proposed model, users are running elastic or inelastic traffic. Each user equipment (UE) is assigned an application utility function based on the type of its application. Our objective is to allocate multiple carriers resources optimally among users in their coverage area while giving the user the ability to select one of the carriers to be its primary carrier and the others to be its secondary carriers. The UE's decision is based on the carrier price per unit bandwidth. We present a price selective centralized resource allocation with carrier aggregation algorithm to allocate multiple carriers resources optimally among users while providing a minimum price for the allocated resources. In addition, we analyze the convergence of the algorithm with different carriers rates. Finally, we present simulation results for the performance of the proposed algorithm.Comment: Submitted to IEE