Design and Implementation of a High Bit Rate HDLC Transceiver Based on a Modified MT8952B Controller

Abstract: To transmit and receive data over any network successfully, a protocol is required to manage the flow. High-level Data Link Control (HDLC) protocol is defined in Layer 2 of OSI model and is one of the most commonly used layer 2 protocols. HDLC supports both full-duplex and halfduplex data transfer. In addition, it offers error control and flow control. Using a modified MT8952B controller design, the current research presents a new method for implementing an ultra high bit rate HDLC Controller that is compatible with ST-BUS format using Xilinx Virtex FPGA as the target technology using VHDL for implementation. The HDLC Transceiver is used to transmit and receive the HDLC frames. Implementing the HDLC protocol transceiver in FPGA offers the flexibility, upgradeability and customization benefits of programmable logic and also reduces the total cost of every project which involves HDLC protocol controllers

Staff Education Intervention to Enhance Care Planning for Older Adults

The increased prevalence of cognitive deterioration has increased the challenges of caring for older adults. This study\u27s project site offers a psychiatric program for older adults with customized care for complex geriatric mental health patients. Clinical assessment and care management are often overlooked in geriatric mental health patients diagnosed with behavioral and psychological symptoms of dementia (BPSD). The purpose of this project was to deliver an education program developed from the Staff Training in Assisted Living Residences-Veterans Administration, P.I.E.C.E.S model and the Castle framework to 42 nursing and allied health staff of the project site. The project question explored whether an education program on care of patients with BPSD increased staff members\u27 perceived knowledge and competence in providing care to these patients. This education program focused on comprehensive assessment, individualized care planning, and individualized nonpharmacological interventions to manage older adults with dementia. Descriptive statistics were used to analyze performance outcomes data before and after staff education. In addition, care plans of patients were reviewed. Results included a 100% increase in recognition of core concepts of the education program; a 48% to 86% increase in staff willingness to use interdisciplinary care plans; and a 6.6% to 95% increase in documentation of key interventions in care plans for 6 behaviors of dementia. The results of this project might bring about social change by improving the skills and competence of nursing staff in managing the patients with dementia, thus positively impacting the quality of life of patients with BPSD by benefiting from nonpharmacological interventions

THE DESIGN AND IMPLEMENTATION OF AN ADAPTIVE CHESS GAME

In recent years, computer games have become a common form of entertainment. Fast advancement in computer technology and internet speed have helped entertainment software developers to create graphical games that keep a variety of players’ interest. The emergence of artificial intelligence systems has evolved computer gaming technology in new and profound ways. Artificial intelligence provides the illusion of intelligence in the behavior of NPCs (Non-Playable-Characters). NPCs are able to use the increased CPU, GPU, RAM, Storage and other bandwidth related capabilities, resulting in very difficult game play for the end user. In many cases, computer abilities must be toned down in order to give the human player a competitive chance in the game. This improves the human player’s perception of fair game play and allows for continued interest in playing. A proper adaptive learning mechanism is required to further this human player’s motivation. During this project, past achievements of adaptive learning on computer chess game play are reviewed and adaptive learning mechanisms in computer chess game play is proposed. Adaptive learning is used to adapt the game’s difficulty level to the players’ skill levels. This adaptation is done using the player’s game history and current performance. The adaptive chess game is implemented through the open source chess game engine Beowulf, which is freely available for download on the internet

Multi-Phase Nano Fluid Natural Convection in A Partially Divided Cavity for Cooling of Radioactive Waste Containers

The innovation of this investigation is fins arrangement effects on Al2O3-water Nano fluid natural convection in a partially divided cavity for energy storage systems and cooling of radioactive waste containers.  Simulation of fluid velocity and temperature fields done based on the Lattice Boltzmann Model using the D2Q9 and D2Q5 methods, respectively. Streamline, isotherm, Nusselt number, velocity and temperature fields have been studied for different shapes of fins. In this investigation, we surveyed 4 shape of fins that arranged in three cases; case 1: yL=0.25 L, yR=0.75 L, case 2: yL=0.5 L, yR=0.5 L and Case 3: yL=0.75 L, yR=0.25 L. The results illustrated, assuming case 2: yL=0.5 L, yR=0.5 L is base case, so with changing arrangement of fins for case 1: yL=0.25 L, yR=0.75 L, rate percentage of average Nusselt number for cavities arranged with rectangular, circle, vertical and horizontal Ellipse fins were %26, %8, %4 and %8, respectively. Furthermore, with changing arrangement of fins to case 3: yL=0.75 L, yR=0.25 L, these percentages were %62, %24, %14 and %22

Multi-Phase Nano Fluid Natural Convection in A Partially Divided Cavity for Cooling of Radioactive Waste Containers

The innovation of this investigation is fins arrangement effects on Al2O3-water Nano fluid natural convection in a partially divided cavity for energy storage systems and cooling of radioactive waste containers.  Simulation of fluid velocity and temperature fields done based on the Lattice Boltzmann Model using the D2Q9 and D2Q5 methods, respectively. Streamline, isotherm, Nusselt number, velocity and temperature fields have been studied for different shapes of fins. In this investigation, we surveyed 4 shape of fins that arranged in three cases; case 1: yL=0.25 L, yR=0.75 L, case 2: yL=0.5 L, yR=0.5 L and Case 3: yL=0.75 L, yR=0.25 L. The results illustrated, assuming case 2: yL=0.5 L, yR=0.5 L is base case, so with changing arrangement of fins for case 1: yL=0.25 L, yR=0.75 L, rate percentage of average Nusselt number for cavities arranged with rectangular, circle, vertical and horizontal Ellipse fins were %26, %8, %4 and %8, respectively. Furthermore, with changing arrangement of fins to case 3: yL=0.75 L, yR=0.25 L, these percentages were %62, %24, %14 and %22

Floridian high-voltage power-grid network partitioning and cluster optimization using simulated annealing

Many partitioning methods may be used to partition a network into smaller clusters while minimizing the number of cuts needed. However, other considerations must also be taken into account when a network represents a real system such as a power grid. In this paper we use a simulated annealing Monte Carlo (MC) method to optimize initial clusters on the Florida high-voltage power-grid network that were formed by associating each load with its "closest" generator. The clusters are optimized to maximize internal connectivity within the individual clusters and minimize the power deficiency or surplus that clusters may otherwise have.Comment: 9 pages, 3 figures, University of Georgia 24th Annual CSP Worksho