Miracle-dz/UniFAR-FTUs huggingface dataset:
Internet of Things: Architecture and Security

The Internet of Things (IoT) is becoming one of the milestones in the era of communication and networking which is going to determine future of IT. The Internet of Things (IoT) provides connection to users on anywhere, anything, anytime basis, which leads to concern subject of security and privacy. In Internet of Things services are provided using centralized architecture where central entities acquire, process and provide information. In this paper we have focused the security issues for Internet of Things.
Dynamic Stochastic General Equilibrium Models (DSGE): An Introduction

Dynamic and Stochastic General Equilibrium (DSGE) models have become a frequent choice of modeling methodology for complex dynamic and stochastic phenomena in different branches of economics. They are increasingly used by decision-makers to analyze various policy decisions or to generate rigorous forecasts. This paper seeks to provide a first approximation to this fascinating field within the mathematical modeling of human endeavor. It synthesizes how DSGE models are constructed and also illustrates how they are solved and how their parameters are calibrated or econometrically estimated, using software especially designed for such a purpose.
Students as Mentors: A SoTL project in Cell Biology

This project is part of a larger effort within the SoTL community to try and better understand the effects of service projects on student learning. Service learning is an integral part of the culture at Rockhurst University, but there remain questions about its effectiveness in improving learning. In this project, my students work in groups of three to mentor a single student (in 6-10th grade) from an inner city charter school. My research question is, “What do biology students learn from serving as mentors for science fair projects? ” Surveys, exam questions, and reflection papers have been gathered as evidence. Collectively, the different forms of evidence allowed me to look at the student understanding of scientific process and the impact of mentoring on their learning. Feedback from this conference will be used to revise or refine both my central question and the design of the project.
Mining Interesting Least Association Rules in Manufacturing Industry: A Case Study in MODENAS

Least association rules are related to the rarity or uncommonness relationship among itemset in database repository. However, mining these rules are quite tricky and seldom discussed since it usually includes with infrequent items or exceptional cases. In manufacturing industry, detecting these rules is very useful and exciting for further analysis such as for market segmentation, prediction, and product arrangements. In this paper, we introduce an enhanced association rules mining method, called Significant Least Pattern Growth (SLP-Growth) and a new measurement named Critical Relative Support (CRS). The novelty of the proposed method is that unlike existing methods, it is used for capturing interesting least items from line-off database. The data which comprised of production of motorcycle/scooter is taken from Malaysia national motorcycle manufacturer called Motorsikal dan Enjin Nasional Sdn Bhd (MODENAS). The results from this research provide useful information for the management to understand the customer demand trends comprehensibly, and enable them to design marketing strategy accordingly.
DESIGN AND FABRICATION OF TWINROTOR UAV

There have been many advancements in the field of aerospace and avionics. Scientists have increasingly started to focus on VTOL (vertical take - off and landing) aircrafts. We have built a miniature VTOL twinrotor UAV. UAVs have begun to grab a lot of attention these days due to its numerous applications such as surveillance and relief. Twinrotor is a kind of a helicopter having two main propellers instead of one and no tail fin. All three important motion of the aircraft i.e. roll, pitch, yaw are controlled by thrust vectoring using servo motors and changing the magnitude of thrust using electronics speed controllers. The paper deals with the design of a basic UAV based on application and the construction keeping in mind the different concepts that govern its motion.
A strategic decision making framework for organisational BIM implementation

Decision making during the adoption of Building Information Modelling (BIM) in current AEC projects is believed as a key element to improve both BIM performance and project outcome. In order to provide the most informed decision and strategic plan, two vital elements are required: a comprehensive set of decision making criteria and a reasonable priority system. The literature analysis has revealed that existing assessment frameworks have limitations concerning these two elements. Therefore, this research has been designed to develop a more effective BIM evaluation Framework (BeF), to assist new BIM users and also provide a more effective implementation approach for BIM. In order to accomplish this objective, research steps of theoretical and empirical nature have been adopted: (a) a multi-dimensional BIM implementation Framework (BiF) was proposed based on the literature review; (b) use of a case study to test the proposed BiF on a real-life project; (c) a questionnaire approach to test the comprehensiveness of the proposed BiF on an industry level; (d) applying the Delphi method to further refine the proposed criteria in a specific context; (e) using the Analytical Hierarchy Process (AHP) to develop a BeF and providing priority shifting for a more preferable strategic goal in Arup ShenZhen office (ASZ); (f) developing a validation system to prove the efficacy of the proposed BeF. The adoption priority and approach of BIM could be influenced by policies, culture, business structure, legislation etc. As a result, a specific context, China has been selected for this work. The research result could assist decision making in BIM management in the ASZ for a higher BIM performance. The framework by the Delphi method is suitable for the selected context: China. The proposed Delphi and AHP methodological framework can be replicated to assist decision making of BIM management in any AEC organisation.
A Lightweight Approach to Web Application Integrity

The HTTP and HTTPS protocols are the corner stones of the modern web. From a security point of view, they offer an all-ornothing choice to web applications: either no security guarantees with HTTP or both confidentiality and integrity with HTTPS. However, in many scenarios confidentiality is not necessary and even undesired, while integrity is essential to prevent attackers from compromising the data stream. We propose GlassTube, a lightweight approach to web application integrity. GlassTube guarantees integrity at application level, without resorting to the heavyweight HTTPS protocol. GlassTube prevents man-in-the-middle attacks and provides a general method for integrity in web applications and smartphone apps. GlassTube is easily deployed in the form of a library on the server side, and offers flexible deployment options on the client side: from dynamic code distribution, which requires no modification of the browser, to browser plugin and smartphone app, which allow smooth key predistribution. The results of a case study with a web-based chat indicate a boost in the performance compared to HTTPS, achieved with no optimization efforts.
COVID-19-Associated Pulmonary Aspergillosis in a Tertiary Hospital

Our study aims to assess the prevalence of CAPA (COVID-19-associated pulmonary aspergillosis) and describe the associated risk factors and their impact on mortality. A prospective study was conducted. We included patients with COVID-19 disease who were admitted to the ICU with a diagnosis of respiratory failur. Mycological culture and other biomarkers (calcofluor staining, LFD, LFA, PCR, GM, and B-D-glucan) were performed. A total of 300 patients were included in the study. Thirty-five patients were diagnosed with CAPA (prevalence 11.7%). During admission, 57 patients died (19%), and, in the group of CAPA patients, mortality was 31.4%. In multivariate analysis, independent risk factors associated with CAPA diagnosis were age (OR: 1.05; 95% CI 1.01–1.09; p = 0.037), chronic lung disease (OR: 3.85; 95% CI 1.02–14.9; p = 0.049) and treatment with tocilizumab during admission (OR: 14.5; 95% 6.1–34.9; p = 0.001). Factors independently associated with mortality were age (OR: 1.06; 95% CI 1.01–1.11; p = 0.014) and CAPA diagnosis during admission (OR: 3.34; 95% CI 1.38–8.08; p = 0.007). CAPA is an infection that appears in many patients with COVID-19 disease. CAPA is associated with high mortality rates, which may be reduced by early diagnosis and initiation of appropriate antifungal therapy, so screening of COVID-19 ARDS (acute respiratory distress syndrome) patients for CAPA is essential.
Empirical Research on the Service Quality of Traveling Websites

The paper offers an empirical analysis on the service quality of the website of the Sun Moon Lake Scenic Area through questionnaires. The results show that the tangible factor, reactive factor, reliability factor and solicitude factor are the main factors that influence web browsers" satisfaction. The tangible factor and solicitude factor influence browsers" behavior, with the former determining the intention to revisit, and the latter determining intention of word-of-mouth. The research findings are significant for the design and development of traveling websites.
Text Mining and Topic Modeling of Compendiums of Papers from Transportation Research Board Annual Meetings

The collective knowledge system has been advancing rapidly in the recent past. The digitalization of information in many online media—such as blogs, social media, articles, webpages, images, audios, and videos—provides an unprecedented opportunity for the extraction and identification of a knowledge trend. Prominent journal and conference proceedings usually contain extensive amounts of textual data that can be used to examine the research trends for various topics of interest and to understand how this research has helped in the advancement of a subject such as transportation engineering. The exploration of the unstructured contents in journal or conference papers requires sophisticated algorithms for knowledge extraction. This paper presents text mining techniques to analyze compendiums of papers published from TRB annual meetings, the largest and most comprehensive transportation conferences in the world. Topic models are algorithms designed to discover hidden thematic structure from massive collections of unstructured documents. This study used a popular topic model, latent Dirichlet allocation, to reveal research trends and interesting histories of the development of research by analyzing 15,357 compendiums of papers from 7 years (2008 to 2014) of TRB annual meetings.
Progress in research on intelligentization of field weed recognition and weed control technology.

With the development of computer and electronic technology, field weed recognition and weed control technology move toward intelligentization and automatic weed control system has become a hot research subject. Automatic weed control system consists of four main modules,including guidance system module, image acquisition and processing module, weed recognition module and weed control module. The four modules were reviewed, the current problems were analyzed and future research were pointed out.
Seismic response estimation method for earthquake‐damaged RC buildings

This study proposes a procedure for identifying spectral response curves for earthquake‐damaged areas in developing countries without seismic records. An earthquake‐damaged reinforced concrete building located in Padang, Indonesia was selected to illustrate the identification of the maximum seismic response during the 2009 West Sumatra earthquake. This paper summarizes the damage incurred by the building; the majority of the damage was observed in the third story in the span direction. The damage was quantitatively evaluated using the damage index R according to the Japanese guidelines for post‐earthquake damage evaluation. The damage index was also applied to the proposed spectral response identification method. The seismic performance of the building was evaluated by a nonlinear static analysis. The analytical results reproduced a drift concentration in the third story. The R‐index decreased with an increase in the story drift, which provided an estimation of the maximum response of the building during the earthquake. The estimation was verified via an earthquake response analysis of the building using ground acceleration data, which were simulated based on acceleration records of engineering bedrock that considered site amplification. The maximum response estimated by the R‐index was consistent with the maximum response obtained from the earthquake response analysis. Therefore, the proposed method enables the construction of spectral response curves by integrating the identification results for the maximum responses in a number of earthquake‐damaged buildings despite a lack of seismic records. Copyright © 2016 The Authors. Earthquake Engineering & Structural Dynamics published by John Wiley & Sons Ltd.
A Novel Multilevel Inverter Based on Switched DC Sources

This paper presents a multilevel inverter that has been conceptualized to reduce component count, particularly for a large number of output levels. It comprises floating input dc sources alternately connected in opposite polarities with one an-other through power switches. Each input dc level appears in the stepped load voltage either individually or in additive combinations with other input levels. This approach results in reduced number of power switches as compared to classical topologies. The working principle of the proposed topology is demonstrated with the help of a single-phase five-level inverter. The topology is investigated through simulations and validated experimentally on a laboratory prototype. An exhaustive comparison of the proposed topology is made against the classical cascaded H-bridge topology.
Improved Load Compensation using Harmonic Compensator in dq0 Current Controller for DSTATCOM

Abstract This paper presents distribution static compensator (DSTATCOM) with dq0 current controller and sine pulse width modulation (SPWM) switching for compensation of unbalanced nonlinear load in distribution system. DSTATCOM, connected in parallel to load at the point of common coupling (PCC), is used for supplying reactive and harmonic components of load current demand. This dq0 current controller is implemented in synchronous reference frame (SRF) rotating at fundamental frequency and consists of harmonic compensation (HC) regulator along with proportional integrator (PI) regulator. HC regulator is realized by number of sinusoidal signal integrators (SSIs) in parallel. The SSI provides high gain for tuned harmonic frequency and helps in minimizing filter current tracking error while compensating for load harmonic currents. Zero-axis controller, which compensates load neutral current and helps in obtaining balanced utility currents, is provided along with d, q controllers. SPWM switching generates inverter gating pulses at constant frequency, which reduces stress levels on VSI switches and simplifies the design of interface filter. Simulation studies of DSTATCOM load compensation with dq0 current controller are carried out in Matlab/Simulink and experimental verification is done using dSpace 1104 with Matlab real-time interface (RTI).
Applicability of Existing Reliability Models: Focus on Finite Element Modeling of Various BGA Package Designs and Materials

The work presented here is one of the key elements of an integrated methodology for predicting reliability in packaging systems (IMPRPK) developed by Arizona State University (ASU) and Intel. IMPRPK approach is based on a probabilistic methodology, focusing on three major tasks: (1) Finite Element analysis (FEM) to predict loading conditions, (2) Characterization of BGA solder joints to identify failure mechanisms and obtain statistical data, and (3) development of a probabilistic methodology to achieve an integrated reliability solution. The focus of this paper is on FEM (task 1), evaluating the effect of package design/form-factor and solder materials on the extent of deformation (e.g., inelastic stress/strain and strain energy density) experienced by BGA solder joints. Global and Local FEM results for two different package designs (Flip-chip and wire-bonded FLI) and two different BGA solder materials (lead-free SAC405 and lead-rich eutectic Sn37Pb) are discussed. The FEM results and the applicability o.
CARBON-BASED ELECTRONICS

Within the next decade, scientists and engineers who have been making silicon-based electronic devices smaller and smaller will finally bump into fundamental limitations on the size of such devices. Some labs, though, are trying to smash through those limitations by developing new types of nanoscale electronics based on organic molecules or carbon nanotubes. Two advances in this quest were reported last week: A research team at Yale University and Rice University, Houston, has shown that an assemblage of wirelike organic molecules can function reversibly as a switch to turn current on and off [ Science , 286 , 1550 (1999)]. And a team based at Delft University of Technology, the Netherlands, has shown experimentally that kinked nanotubes also can function as electronic devices [ Nature , 402 , 273 (1999)]. To make the first advance, graduate student Adam M. Rawlett, working in chemistry professor James M. Tour's lab at Rice, synthesized a conjugated benzenethiol. Graduate student Jia Chen, working at Yale .
On revisiting vital signs IoT sensors for COVID-19 and long COVID-19 monitoring: a condensed updated review and future directions

Background: Although the world has been facing the COVID-19 pandemic for over a year, we understand that there are still some challenges in using Internet of Things (IoT) devices as allies in this fight. Among the main difficulties, we can mention the selection of appropriate devices and the correct measurement and subsequent analysis of previously obtained vital signs. Methods: In this context, we present a condensed compilation of IoT devices to monitor the vital signs often used to monitor COVID-19. We focus on easy-to-use devices currently available on the market to the general user. Also, the presented analysis is helpful for long COVID-19 monitoring, which is particularly useful to governments and hospitals to analyze eventual sequels on those citizens who tested positive beforehand. Results: The review resulted in 148 heterogeneous devices offering different capabilities. Our first contribution resides in detailing several aspects of each IoT device, indicating which are the most suitable for particular use-case situations. Moreover, our article introduces some challenges and insights into assembling a smart city composed of IoT devices. Conclusion: Here, technological trends such as Serverless computing, homomorphic cryptography, Federated Learning, Elixir programming language, Web Assembly, and vertical elasticity are discussed towards enabling vital sign-driven data capturing and processing. Although there are several IoT devices for health monitoring, there is still work to standardize data formats and APIs for data extraction.
Intact fluency in autism? A comprehensive approach of verbal fluency task including word imageability and concreteness

Verbal fluency is a cognitive function reflecting executive functions and the ability to retrieve the appropriate information from memory quickly. Previous studies reported conflicting results—impaired and intact verbal fluency—in autism spectrum disorder (ASD). Most studies concentrate on overall word productivity, errors, perseverations, clustering, or switching. We used a comprehensive approach to evaluate the reported discrepancy in the literature and introduced a new angle using the concept of word abstraction and imageability. Moreover, we analyzed the performance in two‐time intervals (0–30 s and 31–60 s) to assess the temporal dynamics of verbal fluency and a possible activation or initiation deficit in autism. Sixteen adults with ASD and 16 neurotypical control participants, matched by gender, age, and education level, participated in our study. Contrary to our expectations, we did not find a significant difference between groups in word productivity, the number of errors, clustering, or temporal dynamics, neither in semantic nor in phonemic fluency tasks. Surprisingly, the two study groups' performance did not differ in terms of imageability or concreteness characteristics either. Our results raise the possibility that verbal fluency performance is intact in autism. We also suggest using a comprehensive approach when measuring fluency in autism.
Comparison of copper, silver and gold wire bonding on interconnect metallization

Wire bonding technology has been extensively used to interconnect IC chips and substrates. Gold (Au) and aluminium (Al) has been used for wire bonding interconnect for decades. Recently, copper (Cu) wire bonding is used in high temperature applications and general cost down approaches. Despite its many benefits, copper wire has not yet been widely used like gold wire, as copper wire bonding also introduces many new challenges. One challenge is that copper wire bonding process needs more ultrasonic energy and a higher bonding force, which can damage the Si substrate, form die cratering and induce cracking and peeling of the bonding pad. Compared with copper, Ag is similar in conductivity, but softer in terms of mechanical properties. The lower Young's modulus and Yield stress of Ag could help to reduce the bond force and ultrasonic power during wire bonding process which leads to less damage on interconnect metallization under bond pad. In this paper, transient mechanical responses of the interconnect metallization beneath bump pad are investigated. Under the assumption of elastic-plastic behavior of the bonding pad and elastic behavior of the oxide, parametric studies are carried out to examine the effect of wire bonding material, interconnect metallization structure and thickness of bump pad on the stress distribution and elastic deformation of interconnect metallization layers.
Quasi quarter SIW‐mode resonator and its application to sierpinski fractal filter design

In this letter, a new kind of quasi quarter SIW resonator (QQSIWR) using Sierpinski fractal defected structure is presented first. Comparing with SIW resonator, this novel resonator has lower resonant frequency (f0) and acceptable unloaded quality (Qu) value, while maintaining almost unchanged electromagnetic fields distributions. The frequency characteristics and Qu of this resonator is investigated under different fractal sizes. To validate the properties of QQSIWR, a miniature cross‐coupled bandpass filter (BPF) with a size reduction over 88% is proposed and optimized using Sierpinski fractal structure and cross coupling technology. It can produce asymmetrical frequency response by generating a transmission zero (TZ) on the high side of passband. A prototype of the filter is fabricated and measured, and the measured results are in good agreement well with the simulated ones. © 2016 Wiley Periodicals, Inc. Microwave Opt Technol Lett 58:1176–1179, 2016