This paper discusses downlink power control of dedicated channels in UTRA TDD. The current UTRA TDD downlink power control is similar to the one in UTRA FDD mode, that comprises of closed inner loop and quality based outer loop. However, due to the time division feature and associated flexibility with asymmetry of TDD, the inner loop can not operate as fast as in FDD and it is affected by rapid...

This paper presents a packet scheduling algorithm to manage the quality of service of a two layered video service in the downlink FDD mode of UMTS. The algorithm takes into account the expected interference and the OVSF code usage to schedule appropriately the different transmissions.

A rule-based, system-level fault detection and diagnostic (FDD) method for HVAC systems was developed. It functions as an interface between multiple, equipment-specific FDD tools and a human operator. The method resolves and prioritizes conflicting fault reports from equipment-specific FDD tools, performs FDD at the system level, and presents an integrated view of an HVAC system’s fault status ...

For improving available and reusable of knowledge in fish disease diagnosis (FDD) domain and facilitating knowledge acquisition, an ontology model of FDD knowledge was developed based on owl according to FDD knowledge model. It includes terminology of terms in FDD knowledge and hierarchies of their class.

Failures can lead to a series of problems in the complex heating, ventilation and air-conditioning (HVAC) systems in buildings. Fault detection and diagnosis (FDD) is an important technology to solve these problems. Models can represent the behaviors of the HVAC systems, and FDD can be realized with models. Using the model as intermediary, a link between system simulation and FDD can be built. ...

The Complex Mode Indicator Function (or CMIF) is a popular spatial domain modal parameter estimation technique that utilizes the singular value decomposition of the frequency response function matrix for estimating the modal parameters of the system. Due to several advantages like identification of closely spaced modes, this technique is extremely popular for modal parameter estimation purposes...

The massive multiple-input multiple-output (MIMO) system has drawn increasing attention recently as it is expected to boost the system throughput and result in lower costs. Previous studies mainly focus on time division duplexing (TDD) systems, which are more amenable to practical implementations due to channel reciprocity. However, there are many frequency division duplexing (FDD) systems depl...

Nuclear power plants (NPPs) are complex dynamic systems with multiple sensors and actuators. The presence of faults in the actuators can deteriorate system’s performance cause serious safety issues. This calls for development fault detection diagnosis isolation such faults. In this study, (FDD) based on neural networks (NN) K-nearest neighbour (KNN) algorithm is applied to a pressurized water r...

Familial Danish dementia (FDD) is an autosomal dominant neurodegenerative disease caused by a 10-nucleotide duplication-insertion in the BRI(2) gene. FDD is clinically characterized by loss of vision, hearing impairment, cerebellar ataxia and dementia. The main neuropathologic findings in FDD are the deposition of Danish amyloid (ADan) and the presence of neurofibrillary tangles (NFTs). Here we...