Performance Analysis of QoS in PMP Mode WiMax Networks

IEEE 802.16 standard supports two different topologies: point to multipoint (PMP) and Mesh. In this paper, a QoS mechanism for point to multipoint of IEEE 802.16 and BS scheduler for PMP Mode is proposed. This paper also describes quality of service over WiMAX networks. Average WiMAX delay, Average WiMAX load and Average WiMAX throughput at base station is analyzed and compared by applying different scheduler at Base station and at fixed nodes

Parenting Challenges and Adaptive Strategies: A Qualitative Analysis of Asian Indian Immigrant Families in Canada

This study examined parenting challenges among Asian Indian immigrant families who migrated from a multicultural society to Canada and how they adapted to their new multicultural environment. I interviewed 19 Indian immigrant parents who have lived in Canada for more than 3 years, asking them to share their parenting challenges and the adaptive strategies they had used to integrate into the Canadian cultural environment. Being with a community of other Indian immigrants and/or members of the extended family played facilitated smoother transitions toward their new cultural environment. Traditional food served as an important bridge to their Indian traditions just as Canadian food served as a bridge to new cultural experiences. At the structural level, all the participants suggested that Canadian schools in the Niagara region should implement a more multicultural perspective. Participants highlighted the importance of family support, community support, and a willingness to accept new lifestyles and career choices

Beta-delayed neutron emission spectroscopy in the 78Ni region and development of YSO-based implantation detector

Decays of Cu isotopes provide a laboratory to study the properties for nearly doubly-magic nuclei with a significant neutron excess which are also relevant for the r-process models. The beta-decay properties of doubly-magic 78Ni (N=50) are imprinted in the neighboring Cu decay, nuclei with a single proton outside the Z=28 core. The investigated isotopes 79,80,81Cu are strong beta-delayed neutron precursors, suggesting that their decay strength distribution lies above neutron separation energies in 79,80,81Zn daughters. For decay studies, a segmented scintillator YSO (Y2SiO5 : Ce doped) based implantation detector was developed at the University of Tennessee, Knoxville. The detector is compact in structure and offers good spatial and timing resolution, crucial for ion-β correlations and time-of-flight (ToF) based β-delayed neutron emission spectroscopy, respectively. The detector was employed as a part of the BRIKEN neutron counter at the Radioactive Isotope Beam Factory (RIBF) at RIKEN Nishina Center in Japan, aiming to measure one- and two- neutron emission probabilities (P n,2n ). for nuclei around the 78Ni region. Another variant of the detector with a more advanced design was used along with VANDLE (Versatile Array for Neutron Detection at Low Energy) to conduct spectroscopy of β-delayed neutrons in the same region. Reconstruction of the feeding intensities requires analysis of neutron-gamma cascades, as is suggested by the statistical model. This work reports the first direct measurements of β-decay strength to neutron-unbound states in the decay of 81, 80, 79Cu. The results from the experiment are compared to shell-model calculations with various sets of single-particle energies and residual interactions. Finally, predictions for 78Ni decay are made based on the model best-describing 79Cu

Simulation and control of processes

Process control is required in most of the industries to regulate the output of a specific chemical process. Any improvement in control design results in process optimization, consistent production, hence less waste. In this thesis, process dynamics of first and second order systems was studied in terms of a response to a step input change. A software called LabVIEW from National Instruments was used to simulate a number of processes to observe time response and frequency response to calculate gain, phase margin and Bode plots. This was followed by system stability analysis. Programs in LabVIEW were created to calculate Ziegler Nichols settings for controller tuning and dynamic Relative Gain Array for Multiple-Input Multiple-Output (MIMO) systems. Studies were carried out on the dynamic performance criteria for controller tuning by minimizing Integral Absolute Error (IAE). This was possible since data could be collected and analyzed real time. LabVIEW programs were created to fine tune the controller starting with P, I, D values obtained using Cohen and Coon method. Process parameters required for the calculations were determined from Process Reaction Curve (PRC). Open loop circuit was used to measure the temperature/level to obtain a Process Reaction curve. Control of temperature in a heater was achieved by means of closed loop in which power supplied to the heater by a solid state relay was regulated according to the feedback obtained from the thermocouple. Results showed that PRC method was unsuitable for this process. Temperature controller was tuned using trial and error method and best settings were obtained as P = 2, I = 0.02, D = 0.5. It was desired to use Compact FieldPoint by National Instruments (NI) for liquid level controller tuning. After configuration and testing, it was found, however that output signal from the FieldPoint was in the range of 4-12mA which resulted in opening the control valve to only half of its full capacity. The problem was solved by using traditional Data acquisition device from NI to acquire data. PI controller was tuned from the starting values obtained by Cohen and Coon method using error-integral criteria. The best controller settings were obtained as P = 24, I = 0.35

Using Machine Learning and Graph Mining Approaches to Improve Software Requirements Quality: An Empirical Investigation

Software development is prone to software faults due to the involvement of multiple stakeholders especially during the fuzzy phases (requirements and design). Software inspections are commonly used in industry to detect and fix problems in requirements and design artifacts, thereby mitigating the fault propagation to later phases where the same faults are harder to find and fix. The output of an inspection process is list of faults that are present in software requirements specification document (SRS). The artifact author must manually read through the reviews and differentiate between true-faults and false-positives before fixing the faults. The first goal of this research is to automate the detection of useful vs. non-useful reviews. Next, post-inspection, requirements author has to manually extract key problematic topics from useful reviews that can be mapped to individual requirements in an SRS to identify fault-prone requirements. The second goal of this research is to automate this mapping by employing Key phrase extraction (KPE) algorithms and semantic analysis (SA) approaches to identify fault-prone requirements. During fault-fixations, the author has to manually verify the requirements that could have been impacted by a fix. The third goal of my research is to assist the authors post-inspection to handle change impact analysis (CIA) during fault fixation using NL processing with semantic analysis and mining solutions from graph theory. The selection of quality inspectors during inspections is pertinent to be able to carry out post-inspection tasks accurately. The fourth goal of this research is to identify skilled inspectors using various classification and feature selection approaches. The dissertation has led to the development of automated solution that can identify useful reviews, help identify skilled inspectors, extract most prominent topics/keyphrases from fault logs; and help RE author during the fault-fixation post inspection

A comparative study of Leadership Behavior of Principals in relation to job satisfaction of teachers in Govt. and non-govt. schools of U.T.

The study was designed to achieve the following objectives: 1. To compare the Leadership Behavior of Principals in Govt. and non-govt. schools . 2. To compare the job satisfaction of teachers in Govt. and non-govt. schools . 3. To ascertain the relationship between Leadership Behavior of Principals with job satisfaction of teachers in Govt. and non-govt. schools

Professional Development and Care Planning

The Covid-19 infection trend revealed to the Californian Prison healthcare system the importance of offering top-quality preventive and care services to control diseases. Irrespective of the understanding, there have been challenges in the transitional gap as older nurses are retiring and replaced by new ones. However, the lack of technical experience among the new nurses has exposed the patient population to human errors, which might be costly to amend. As a result, the initiative embarked on a project to train and empower nurses on preventive and care techniques. Critical areas of concern include reporting, data collection, patient symptomology, results interpretation, and active delivery of quality care. The initiative took an in-service training approach through seminars, workshops, and conferences to achieve the goals. The training provides hands-on skills and evidence-based strategies for dealing with diverse prison care system issues. More importantly, it empowers the nursing team to provide patient-centric care to prisoner patients effectively. The initiative results are motivated nursing team, well-empowered and skilled team, lowered transmission of diseases, reduced number of new disease cases, satisfied prisoner patients, and decreased the Californian Prison care unit\u27s cost. In conclusion, nurses\u27 empowerment through skill provision is vital in ensuring capacity building, practical skill imparts, and assured delivery of quality care services