Development of a Reference Design for Intrusion Detection Using Neural Networks for a Smart Inverter

The purpose of this thesis is to develop a reference design for a base level implementation of an intrusion detection module using artificial neural networks that is deployed onto an inverter and runs on live data for cybersecurity purposes, leveraging the latest deep learning algorithms and tools. Cybersecurity in the smart grid industry focuses on maintaining optimal standards of security in the system and a key component of this is being able to detect cyberattacks. Although researchers and engineers aim to design such devices with embedded security, attacks can and do still occur. The foundation for eventually mitigating these attacks and achieving more robust security is to identify them reliably. Thus, a high-fidelity intrusion detection system (IDS) capable of identifying a variety of attacks must be implemented. This thesis provides an implementation of a behavior-based intrusion detection system that uses a recurrent artificial neural network deployed on hardware to detect cyberattacks in real time. Leveraging the growing power of artificial intelligence, the strength of this approach is that given enough data, it is capable of learning to identify highly complex patterns in the data that may even go undetected by humans. By intelligently identifying malicious activity at the fundamental behavior level, the IDS remains robust against new methods of attack. This work details the process of collecting and simulating data, selecting the particular algorithm, training the neural network, deploying the neural network onto hardware, and then being able to easily update the deployed model with a newly trained one. The full system is designed with a focus on modularity, such that it can be easily adapted to perform well on different use cases, different hardware, and fulfill changing requirements. The neural network behavior-based IDS is found to be a very powerful method capable of learning highly complex patterns and identifying intrusion from different types of attacks using a single unified algorithm, achieving up to 98% detection accuracy in distinguishing between normal and anomalous behavior. Due to the ubiquitous nature of this approach, the pipeline developed here can be applied in the future to build in more and more sophisticated detection abilities depending on the desired use case. The intrusion detection module is implemented in an ARM processor that exists at the communication layer of the inverter. There are four main components described in this thesis that explain the process of deploying an artificial neural network intrusion detection algorithm onto the inverter: 1) monitoring and collecting data through a front-end web based graphical user interface that interacts with a Digital Signal Processor that is connected to power-electronics, 2) simulating various malicious datasets based on attack vectors that violate the Confidentiality-Integrity-Availability security model, 3) training and testing the neural network to ensure that it successfully identifies normal behavior and malicious behavior with a high degree of accuracy, and lastly 4) deploying the machine learning algorithm onto the hardware and having it successfully classify the behavior as normal or malicious with the data feeding into the model running in real time. The results from the experimental setup will be analyzed, a conclusion will be made based upon the work, and lastly discussions of future work and optimizations will be discussed

Meeting the Challenge of COVID-19 in DHQ Orthopaedic Department

Introduction: The World Health Organization (WHO) declared Covid-19 as a pandemic on March 11, 2020. Not only that the COVID-19 pandemic has brought the world to a complete lockdown but also burdened healthcare systems across the world immensely. Objective: In this paper, we discuss the different strategies we adopted in the Orthopaedics Department of District Head Quarter [DHQ] Objective: In this paper, we discuss the different strategies we adopted in the Orthopaedics Department of District Head Quarter [DHQ hospital Rawalpindi, during this ongoing pandemic and share our experience of successfully but cautiously providing orthopedic services to patients in a public hospital. We compare our workload and output of May 2020 [pandemic phase] to May 2019 [standard/normal phase]. Methodology: The Hospital policy was changed after the COVID-19 pandemic. We increased public awareness and reduced load in the OPD using different strategies. We postponed all elective cases; focusing our logistics and resources only on the patients in urgent need of surgical management. A minimum number of doctors and OTAs were allocated on each list. Inwards, the patient stay was reduced. As a standard PCR test for COVID-19 was expensive, we devised our screening through history, examination, and routine investigations. Results:  The average stay inwards was reduced from 6.4±4.6 days in May 2019 to 2.7±3.6 days in May 2020. The decrease in the stay was statistically significant (p=.0206) and was associated with a 24.4% increase in the number of total patient admissions in May 2020 (n=56) as compared to May 2019 (n=45). The number of surgeries performed month to month was very similar in normal and pandemic periods. Our OPD patient attendance dropped from 200-250 patients per day in 2019 to 60-70 during the ongoing pandemic phase. Conclusion: We believe that sharing experiences between health care actors allows us to develop an effective strategy to provide the very best care to our patients during the COVID-19 pandemic

Factors affecting secure software development practices among developers- an investigation

An evidently dominate problem in the software development domain is that software security is not consistently addressed from the initial phase of software development which escalates security concerns, results in insecure software development. Several secure software development methodologies were introduced in literature and recommended to the industry but they are usually ignored by the developers and software practitioners. In this research paper, an extensive literature review is performed to find out factors influencing implementations of secure software development practices in industry. Secondly, based on Unified Theory of Acceptance and Use of Technology model 2 (UTAUT2) this study proposes a model to investigate the factors influencing adoption of secure software development practices among software developers

Utilization and outcomes with low dose tissue plasminogen activator as intravenous thrombolytic therapy for ischaemic stroke at Aga Khan University Hospital, Karachi: A retrospective analysis

Objective: To determine the utilisation of intravenous tissue plasminogen activator at a certain dose for ischaemic stroke thrombolysis and to compare the outcomes with those of a different dosage mentioned in literature.Methods: The retrospective study was conducted at the Aga Khan University Hospital, Karachi, and comprised medical records from January, 2007, to October, 2016, of all patients having received intravenous tissue plasminogen activator for ischaemic stroke thrombolysis. Primary safety outcome variables included symptomatic intracerebral haemorrhage after the start of treatment (0.6mg/kg) and death within three months as per the modified Rankin scale 6. Secondary efficacy outcome variable was functional independence as per modified Rankin scale 0-2 at three months. The outcomes were compared with those mentioned in literature with a dose of 0. 9mg/kg.Results: Of the 79 patients, 52 (66%) were male and 27 (34 %) were female. Median pre-treatment tissue plasminogen activator score was 12 (interquartile range: 8-15). Overall utilisation of t-PA remained at 1.7%. Symptomatic intracerebral haemorrhage was not seen in our cohort while it was seen in 107 (1.7%) patients at the higher dose. Using another definition, it was seen in 3 (3.8%) patients versus 468 (7.3%) patients at the higher dose. Functional independence was seen in 40 (50.6%) patients at three months compared to 3362 (54.8%) patients at the higher dose.Conclusion: Low-dose intravenous thrombolytic therapy for ischaemic stroke patients was found to be safe and efficacious, and yielded comparable results with those obtained at a higher dose

Evaluation of quality of warfarin therapy by assessing patient\u27s time in therapeutic range at a tertiary care hospital in Pakistan

Objective: To assess the time in therapeutic range in patients on warfarin anti-coagulation therapy. Methods: The retrospective chart review was conducted at Aga Khan University Hospital, Karachi, and comprised data of patients having undergone anti-coagulation with warfarin from January 2013 to April 2015. To determine the mean time in therapeutic range, Rosendaal method was used. Association of time in therapeutic range with the composite outcome, bleeding and thromboembolic events was also assessed. Percentage of patients with time in therapeutic range \u3c60% was calculated. Results: There were 92 patients whose median time in therapeutic range was 34.9% (interquartile range: 20.0- 55.7). Overall, 71(77.2%) patients had time in therapeutic range below 60% which had statistically significant correlation with the composite outcome (p\u3c0.05). Number of comorbids was significant in predicting time in therapeutic range and patients with time in therapeutic range\u3c 60% (p\u3c0.05). Conclusion: Subjects had poor anti-coagulation quality. It might be prudent to move towards novel oral anticoagulant drugsas the first choice for therapeutic anti-coagulation

Cytotoxicity, Morphology and Chemical Composition of Two Luting Cements: An in Vitro Study

Objective: To assess the cytotoxicity, surface morphology, elemental compositions and chemical characterization of two commonly used luting cement. Material and Methods: The two luting types of cement used were Elite Cement® and Hy-Bond Resiglass®. Freshly mixed (n=6) and set form (n=6) of each cement was placed in medium to obtain extracts. The extract from each sample was exposed to L929 mouse fibroblasts (1x104cells/well). Alamar Blue Assay assessed cell viability. Surface morphology and elemental composition were evaluated using scanning electron microscopy and energy dispersive spectroscopy. The chemical characterization was performed by Fourier Transform Infrared Spectroscopy. One-way ANOVA and post-hoc Tukey analysis were conducted to assess results. Results: Hy-Bond Resiglass® was the more cytotoxic of the two types of cement in both freshly mixed (68.10 +5.16; p<0.05) and set state (87.58 +4.86; p<0.05), compared to Elite Cement® both freshly mixed (77.01 +5.45; p<0.05) and set state (89.39 +5.66; p<0.05). Scanning electron microscopy revealed a more irregular and porous structure in Hy-Bond Resiglass® compared to Elite Cement®. Similarly, intense peaks of aluminium, tungsten and fluorine were observed in energy dispersive spectroscopy in Hy-Bond Resiglass. Conclusion: All these three elements (aluminium, tungsten and fluorine) have cytotoxic potential. The Fourier transform infrared spectroscopy revealed the presence of hydroxyethyl methacrylate in Hy-Bond Resiglass®, which has a cytotoxic potential

The Prevalence, Severity and the Contributive Organizational Factors of Burnout Syndrome among Pakistani Physiotherapists

Background: This is fast age where many underlying health issues go unaddressed in race of progress such as Burnout. This state of mental illness due to chronic stress that may be comprised of emotional exhaustion, personal accomplishment and depersonalization. This is thought to be associated with occupation and organizational parameters. This can put physiotherapist compromised health, social and family life, dealing with patients and low performance at work. Objective: To determine burnout level and its severity among physical therapists and associated organizational factors Material and method: Cross sectional survey was conducted in sample of convenience comprising 120 physiotherapists. The participants were of both gender and age above 25 years. The data was collected by using Maslach Burnout Inventory Scale and data analysis was executed using SPSS version 20. Continuous variables including age, total scores were analyzed for mean and standard deviation, while frequency percentages were calculated against categorical variables. Results: Results of the study demonstrated that mean+SD score for emotional exhaustion was 16.55+ 5.07, mean+SD score for personal accomplishment was 44.73+1.54 and mean+SD score for depersonalization was 0.75+0.93. Conclusion: The study concluded that physiotherapists demonstrated mild to moderate level of burnout. Burnout symptoms apparently found significantly associated with high working hours, private sector, female gender and less physical activity.           &nbsp

Far-Field DOA Estimation of Uncorrelated RADAR Signals through Coprime Arrays in Low SNR Regime by Implementing Cuckoo Search Algorithm

For the purpose of attaining a high degree of freedom (DOF) for the direction of arrival (DOA) estimations in radar technology, coprime sensor arrays (CSAs) are evaluated in this paper. In addition, the global and local minima of extremely non-linear functions are investigated, aiming to improve DOF. The optimization features of the cuckoo search (CS) algorithm are utilized for DOA estimation of far-field sources in a low signal-to-noise ratio (SNR) environment. The analytical approach of the proposed CSAs, CS and global and local minima in terms of cumulative distribution function (CDF), fitness function and SNR for DOA accuracy are presented. The parameters like root mean square error (RMSE) for frequency distribution, RMSE variability analysis, estimation accuracy, RMSE for CDF, robustness against snapshots and noise and RMSE for Monte Carlo simulation runs are explored for proposed model performance estimation. In conclusion, the proposed DOA estimation in radar technology through CS and CSA achievements are contrasted with existing tools such as particle swarm optimization (PSO).This project has received funding from Universidad Carlos III de Madrid and the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant 801538

Optical Transmission Plasmonic Color Filter withWider ColorGamut Based on X-Shaped Nanostructure

Extraordinary Optical Transmission Plasmonic Color Filters (EOT-PCFs) with nanostructures have the advantages of consistent color, small size, and excellent color reproduction, making them a suitable replacement for colorant-based filters. Currently, the color gamut created by plasmonic filters is limited to the standard red, green, blue (sRGB) color space, which limits their use in the future. To address this limitation, we propose a surface plasmon resonance (SPR) color filter scheme, which may provide a RGB-wide color gamut while exceeding the sRGB color space. On the surface of the aluminum film, a unique nanopattern structure is etched. The nanohole functions as a coupled grating that matches photon momentum to plasma when exposed to natural light. Metals and surfaces create surface plasmon resonances as light passes through the metal film. The plasmon resonance wavelength can be modified by modifying the structural parameters of the nanopattern to obtain varied transmission spectra. The International Commission on Illumination (CIE 1931) chromaticity diagram can convert the transmission spectrum into color coordinates and convert the spectrum into various colors. The color range and saturation can outperform existing color filters.Funding: This project has received funding from Universidad Carlos III de Madrid and the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant 801538

Examination of sleep in relation to dietary and lifestyle behaviors during Ramadan: A multi-national study using structural equation modeling among 24,500 adults amid COVID-19

Background Of around 2 billion Muslims worldwide, approximately 1.5 billion observe Ramadan fasting (RF) month. Those that observe RF have diverse cultural, ethnic, social, and economic backgrounds and are distributed over a wide geographical area. Sleep is known to be significantly altered during the month of Ramadan, which has a profound impact on human health. Moreover, sleep is closely connected to dietary and lifestyle behaviors. Methods This cross-sectional study collected data using a structured, self-administered electronic questionnaire that was translated into 13 languages and disseminated to Muslim populations across 27 countries. The questionnaire assessed dietary and lifestyle factors as independent variables, and three sleep parameters (quality, duration, and disturbance) as dependent variables. We performed structural equation modeling (SEM) to examine how dietary and lifestyle factors affected these sleep parameters. Results In total, 24,541 adults were enrolled in this study. SEM analysis revealed that during RF, optimum sleep duration (7–9 h) was significantly associated with sufficient physical activity (PA) and consuming plant-based proteins. In addition, smoking was significantly associated with greater sleep disturbance and lower sleep quality. Participants that consumed vegetables, fruits, dates, and plant-based proteins reported better sleep quality. Infrequent consumption of delivered food and infrequent screen time were also associated with better sleep quality. Conflicting results were found regarding the impact of dining at home versus dining out on the three sleep parameters. Conclusion Increasing the intake of fruits, vegetables, and plant-based proteins are important factors that could help improve healthy sleep for those observing RF. In addition, regular PA and avoiding smoking may contribute to improving sleep during RF