No abstract

The emerging technology of wireless mobile network and devices, increase the bandwidth usage and demand for more network capacity. Femtocell Access Point (FAP) also known as a low power access point that has the capability to extend and offload the capacity from the macrocell and give excellent experience for indoor subscribers. The handover between femtocells are quite complicated since there are hundreds of possible target F APs when the Femtocell User Equipment (FUE) shift away from the area of its serving FAP and at the same time need to sustain the quality of service (QoS). This study introduced a new mechanism for femtocell-to-femtocell handover which, considers several factors such as received signal level and downlink transmission power gain. Open and close femtocell 's access mode are considered in this study. The simulation results compared wih the existing scheme show that probability femtocell not included in the list for proposed scheme is lower than existing scheme. Besides that, this scheme introduces the number of femtocell in the adjacent cell list approaching the number of the serving femtocells as well as avoiding unnecessary handovers and handover failure.

Sign language recognition has become a crucial area of research, especially in the field of assistive technology for hearing- and speech-impaired individuals. This paper presents a new project aimed at developing a device that translates American Sign Language (ASL) into spoken language using the Internet of Things (IoT) and sensors. The system design covers 30 basic gestures and focuses on making communication easier for hearing-impaired students in technical programs. The project addresses the challenges and limitations of sign language recognition, and aims to reduce the communication gap between hearing-impaired and normal individuals. The implementation of this project is expected to result in a more accessible and inclusive society for all.