Bibliographic Review on Distributed Kalman Filtering

In recent years, a compelling need has arisen to understand the effects of distributed information structures on estimation and filtering. In this paper, a bibliographical review on distributed Kalman filtering (DKF) is provided.\ud The paper contains a classification of different approaches and methods involved to DKF. The applications of DKF are also discussed and explained separately. A comparison of different approaches is briefly carried out. Focuses on the contemporary research are also addressed with emphasis on the practical applications of the techniques. An exhaustive list of publications, linked directly or indirectly to DKF in the open literature, is compiled to provide an overall picture of different developing aspects of this area

Model Prediction-Based Approach to Fault Tolerant Control with Applications

Abstract— Fault-tolerant control (FTC) is an integral component in industrial processes as it enables the system to continue robust operation under some conditions. In this paper, an FTC scheme is proposed for interconnected systems within an integrated design framework to yield a timely monitoring and detection of fault and reconfiguring the controller according to those faults. The unscented Kalman filter (UKF)-based fault detection and diagnosis system is initially run on the main plant and parameter estimation is being done for the local faults. This critical information\ud is shared through information fusion to the main system where the whole system is being decentralized using the overlapping decomposition technique. Using this parameter estimates of decentralized subsystems, a model predictive control (MPC) adjusts its parameters according to the\ud fault scenarios thereby striving to maintain the stability of the system. Experimental results on interconnected continuous time stirred tank reactors (CSTR) with recycle and quadruple tank system indicate that the proposed method is capable to correctly identify various faults, and then controlling the system under some conditions

The Organizational Fitness Navigator: Creating and Measuring Organizational Fitness for Fast-Paced Transformation

In the fast-changing environment of today dynamic capabilities to manage organizational transformation are regarded as crucial for business survival and improved performance. Although dynamic organizational capabilities have been receiving intense scrutiny by researchers and practitioners in the past few years, relatively little attention has been directed towards creating a systemic model of dynamic capabilities, and how to effectively measure what the authors call organizational fitness capabilities. This paper builds on the concepts of organizational fitness and its profiling (OFP), and proposes the organizational fitness navigator (OFN) as a systemic model of dynamic organizational capabilities. Part of the OFP model is a systemic scorecard (SCC) as a measurement tool for organizational fitness - in contrast to the well-known balanced scorecard (BSC) - for improving business survival and performance in increasingly networked environments.dynamic capabilities, organizational fitness, organizational fitness profiling, organizational fitness navigator, systemic scorecard

Improved Distributed Estimation Method for Environmental\ud time-variant Physical variables in Static Sensor Networks

In this paper, an improved distributed estimation scheme for static sensor networks is developed. The scheme is developed for environmental time-variant physical variables. The main contribution of this work is that the algorithm in [1]-[3] has been extended, and a filter has been designed with weights, such that the variance of the estimation errors is minimized, thereby improving the filter design considerably\ud and characterizing the performance limit of the filter, and thereby tracking a time-varying signal. Moreover, certain parameter optimization is alleviated with the application of a particular finite impulse response (FIR) filter. Simulation results are showing the effectiveness of the developed estimation algorithm

The Effect of Collimator Diameters on Buildup Factor by using Gamma – Gamma Coincidence System

In this work buildup factor of aluminum and copper samples was studied for different thickness using a  gamma _  gamma coincidence technique and by use two collimator 10 and 7 mm, buildup factor  was calculated for thickness ranged between ( 0 - 9.6 ) cm of aluminum and ( 0 - 4.0 ) cm of copper  using  Na - 22  source with activity of   ( 1 micro Curie ) with single energy ( 0.511 MeV ) and by using ( 3 "× 3" ) sodium iodide detector  NaI (TI). The results showed that buildup factor was more accuracy when we used small diameter because this will decrease the scattering ray which make our calculations more acute for buildup factor which is very important in shielding process for gamma ray. Keywords: Buildup factor, Gamma ray, Shield, Coincidence

Executing Quality Management Tools to Enhance Customer’s Journey at a Clothes Laundry Firm

Purpose: This project aims to assess and enhance the customer’s journey at a laundry company in Saudi Arabia from when the customer arrives at the parking lot of the laundry store until receiving the services and payment. Design, methodology, approach: A mixed-method approach was employed, in which qualitative data were gathered from focus group interviews and solo interviews, and quantitative data were gathered through the survey. Moreover, Quality Management Tools were used to build the action plan and offer conclusions and recommendations that would enhance the customer’s journey and improve satisfaction. Findings: Services quality issues are categorized into five categories: promotions, human resources; services; detergent products, and facilities. House of Quality represents the highest 15 prioritized solutions. These recommended solutions' relative weights range between 9% to 4%. The use of these tools highlights areas for improvement and the root causes of each issue. The seven quality tools are trustworthy tools to conquer challenges faced by the company and may be effective in improving service quality to positively strengthen organizational performance, customer satisfaction, and success. Originality, value: There are limited studies practically employing the seven Quality Management Tools to enhance customer satisfaction and improve their journey. The Saudi laundry market specifically has a dearth of this type of study. Furthermore, this market has seen rapid growth since it is known as a part of the SME sector in recent few years

Executing Quality Management Tools to Enhance Customer’s Journey at a Clothes Laundry Firm

Purpose: This project aims to assess and enhance the customer’s journey at a laundry company in Saudi Arabia from when the customer arrives at the parking lot of the laundry store until receiving the services and payment. Design, methodology, approach: A mixed-method approach was employed, in which qualitative data were gathered from focus group interviews and solo interviews, and quantitative data were gathered through the survey. Moreover, Quality Management Tools were used to build the action plan and offer conclusions and recommendations that would enhance the customer’s journey and improve satisfaction. Findings: Services quality issues are categorized into five categories: promotions, human resources; services; detergent products, and facilities. House of Quality represents the highest 15 prioritized solutions. These recommended solutions' relative weights range between 9% to 4%. The use of these tools highlights areas for improvement and the root causes of each issue. The seven quality tools are trustworthy tools to conquer challenges faced by the company and may be effective in improving service quality to positively strengthen organizational performance, customer satisfaction, and success. Originality, value: There are limited studies practically employing the seven Quality Management Tools to enhance customer satisfaction and improve their journey. The Saudi laundry market specifically has a dearth of this type of study. Furthermore, this market has seen rapid growth since it is known as a part of the SME sector in recent few years

The Effectiveness of Online Course Intervention to Improve Knowledge of Antimicrobial Resistance among Dental Students, in Comparison to Reference Group Using a Randomized Controlled Trial

AIM: This study aimed to assess the effectiveness of a recognised antimicrobial resistance (AMR) online module on knowledge and perception among dental students, using a randomised controlled trial study design. METHODS: Dental students (n = 64, aged 21-25 years) in clinical years agreed to participate in this triple-blinded, parallel, randomised controlled trial. There were 34 students in the study group and 30 students in the control group. The study group participated in an online course covering information about AMR, while students in the control group received another online course about microorganisms in dentistry. Both groups were assessed three times using online questionnaires: before the intervention (T1), after the intervention (T2), and two months later (T3). Each one of T1, T2 and T3 had 22 questions. The questions were repeated each time in T1, T2, and T3 asking about AMR but with different question format, to avoid the possibility of students to memorise the answers. RESULTS: The mean (m) of correct answers for all students on T1 was 12.56, with standard deviation (SD) of 3.2. On T2, m = 14.03 and SD = 3.85, and on T3, m = 14.36 and SD = 3.71. Scores ranged from 0 to 22. The participants in the study and control groups showed significant score improvements from T1 to T2, immediately after the intervention, but there was no significant difference between T2 and T3. The study group students’ scores did not improve significantly from T1 to T3, in contrast to the control group students’ scores. More importantly, there was no significant difference in improvement from T1 to T2 when comparing the study and control groups. CONCLUSION: Online courses might not be reliable learning methods for ensuring the optimal levels of AMR knowledge that are needed by dental practitioners