Miracle-dz/UniFAR-FTUs huggingface dataset:
A Multi-Agent Based Method for Service Restoration in Shipboard Power System

The shipboard power system (SPS) supplies energy to electric loads on ships. If the power supply of SPS is interrupted by a fault, it is important to restore the power system as soon as possible. Many approaches have been taken on the service restoration of SPS, but most of them use a centralized method and cannot meet the Navy's needs for fight-through survivability and high reliability. This paper improves the mathematical programming method proposed in the early literature and presents a multi-agent system framework performing system restoration for Navy ship. In the MAS, all agents have the ability to collect information, process data and make reasonable decisions independently according to different environment. The MAS is implemented based on Java Agent development framework (JADE). The simulation results of typical SPS service restoration cases demonstrated the feasibility and the advantages of the proposed MAS. Streszczenie. Gdy system zasilania okretowego zostanie przerwany bardzo wazne jest aby powrocic doi stanu sprzed uszkodzenia jak najszybciej. W artykule zaproponowano ulepszoną metode wykorzystująca system typu multi agent. Kazdy z agentow ma mozliwośc zbierania informacji, przetwarzania danych i podejmowania decyzji w roznych okolicznościach. (Metoda przywracania sprawności okretowego systemu zasilania wykorzystująca system typu multi agent)
The Impact of the Covid-19 Pandemic on Construction Labor Force and Performance Metrics: A Case for Automation

Pandemics, such as Covid-19 virus spread fast with significant impact on people and the economy. The construction industry with productivity stagnation of over two decades is not excluded from this significant impact or restrictions that determine the present way of life. These restrictions (e.g., government shutdowns, social distancing, and face mask requirement) impede several construction processes resulting in scheduling restrictions, increased work-related hazards, and developing challenges helping to sabotage existing labor force shortage issues. Consequently, researchers and practitioners have focused on low-risk activities, staggered schedules, etc. However, there is a need to appraise the impact of Covid-19 on construction labor force while making a case for construction automation. In this study, the authors utilized a state of practice review of Covid-19-related developments (i.e., disruptions, standards, and regulatory practices) within construction, along with qualitative and quantitative approach among twelve professionals. The study identified productivity, safety, and quality concerns affecting the construction workforce before proposing a workflow for increased automation within the industry to deal with the present and future pandemics. The findings demonstrate the need and emphasize the importance of embracing automation for construction processes in phases that can improve labor force issues and performance metrics to change the path for lingering concerns in construction.
The Association Between Periodontitis and Diabetes Among Filipino Dental School Patients: A Retrospective Case-Control Study

Objective. The association between periodontitis and diabetes mellitus varies based on geographical location, and there are limited investigations on the relationship of the two chronic diseases among Philippine subjects. This study aimed to determine the association between periodontitis and diabetes among Filipino dental school patients. Methods. In this retrospective case-control study, the periodontal conditions and diabetic statuses of all patients who sought treatment at the Dental College’s Oral Medicine clinic within two academic years were reviewed. The prevalence of diabetes among 715 cases of periodontitis was compared to the prevalence among 834 control patients without periodontitis. Odds ratios (OR) were computed using logistic regression analysis, adjusting for age, sex, educational attainment, and smoking status. Results. The overall prevalence of diabetes mellitus for all patients was 3.10%. Patients with periodontitis had a significantly higher prevalence of diabetes at 5.73% compared to control subjects without periodontitis, whose diabetes prevalence was recorded at 0.84% ( P <0.001). A significant association was observed between periodontitis and diabetes, with an unadjusted OR=7.19. After logistic regression analysis to control confounding variables, the adjusted OR was found to be 3.05 (95% confidence interval = 1.27 to 7.31; P =0.012). Conclusion. The prevalence and odds of having diabetes are significantly higher among Filipino dental school patients with periodontitis, compared to patients without periodontitis. These results provide evidence to support an association between periodontitis and diabetes mellitus in this representative sample of the Filipino population.
Culvert Hydraulics: Comparison of Current Computer Models

CULVERT HYDRAULICS: COMPARISON OF CURRENT COMPUTER MODELS Elizabeth. A. Thiele Department of Civil and Environmental Engineering Master of Science The hydraulic analysis of culverts is complicated when using hand calculations. Fortunately, several computer programs are available to assist in analyzing culvert hydraulics, some of which include HY-8, Fish X-ing, Broken-back Culvert Analysis Program (BCAP), Hydraflow Express, Culvert Master, Culvert, and Hydrologic Engineering Center River Analysis System (HEC-RAS). While all of these programs can simulate the behavior of flow through a culvert, slightly different methodologies are utilized among the programs to complete a full hydraulic analysis, resulting in different predictions for headwater depth, flow control, and outlet velocities. The purpose of this paper is to compare (1) the available hydraulic features and (2) the numerical solutions from the seven programs to manually computed values. Four test cases were developed to test the accuracy of program results. The headwater depths and outlet velocities were compared to those obtained through calculations based on culvert hydraulic theory outlined in the Federal Highway Administration publication, Hydraulic Design Series 5. Based on the results, Fish X-ing was unable to analyze culverts under inlet control, while Culvert incorrectly predicted inlet control headwater depths at low flow conditions. Hydraflow Express struggled to predict correct outlet control headwater depths while BCAP had difficulty analyzing straight barrel culverts acting under outlet control. Overall, HY-8, Culvert Master, and HEC-RAS produced accurate results most consistently.
A constitutive view on risk communication in organisations managing high-risk processes : towards a conceptual framework

Past research on the relationship of risk communication on risk perception is predominantly focused on the way civilians deal with risk perceptions and messages about possible danger. Little research on this particular domain is done in organisational contexts, or more specifically in complex interactive and tightly coupled organisations. Evaluations of recent industrial incidents indicate that despite all existing communication tools and safety trainings the importance of risk communication and its impact on the employees’ risk perception is underestimated. This might indicate a deficiency in the solution-oriented knowledge about the relationship between risk communication and risk perception. This research systematically reviews the existing literature on the relationship between risk communication and risk perception in the domain of organisations with complex interactive and tightly coupled systems since 1990. In order to research the literature rigorously, the so-called ‘CIMO-logic’ (Denyer et al., 2008) is applied. CIMO-logic involves a combination of a problematic Context, for which a certain Intervention type produces, through specified generative Mechanisms, the intended Outcome. The rationale is that by examining Context, Interventions, Mechanisms and Outcomes in the specific domain of risk communication and risk perception in complex interactive and tightly coupled organisations, recommendations can be made to improve risk communication practices in these organisations. The main finding indicates various leadership capabilities as dominant interventions that generate two distinct information-processing mechanisms. These interventions are, among others, adding different expertise to a decision process, the introduction of adapted safety trainings, and comprehensible hierarchical communication that refers to the employees’ problem domain familiarity. Based on the reviewed literature, directions for future research are indicated.
Development of the Simulation Tool for The Modeling and Traffic Control of a AGV System

In this paper, we studied about AGVs modeling and material handling automation simulation using a virtual AGV. The proposed virtual AGV model that operates independently each other is based on a real AGV. Continuous straight-line and workstation model using vector drawing method that could easily, rapidly work system modeling are suggested. Centralized traffic control, which could collision avoidance in intersection and should not stop AGV as possible, and algorithm for detour routing which performs when another AGV is working in pre-routed path are proposed. The traffic control and the algorithm have been proved efficience by simulation.
Optimal Static Output Feedback Control of Tendon Driven Master-Slave Manipulator

In this work, a bilateral control for a master-slave manipulator system which will be used for handling objects contaminated by radioactivity has been addressed. The links of manipulators are driven independently by individual motors installed on the base and the driving torque is transmitted through pre-tensioned tendons. The measurable variables are the positions and rates of master/slave motors. In the consideration of the flexibility of the tendon and available measurements for control, we proposed an optimal static output feedback control for possible bilateral control architecture. By using modal analysis, the system model is reduced to guarantee the detectability which is a necessity for the static output feedback control design. Based on the reduced model, the control gains are determined to attenuate vibration in the sense of optimality. The feasibility of the proposed control design was verified along with some simulation results.
Flight Test Evaluation of Situation Awareness Benefits of Integrated Synthetic Vision System Technology f or Commercial Aircraft

Research was conducted onboard a Gulfstream G-V aircraft to evaluate integrated Synthetic Vision System concepts during flight tests over a 6-week period at the Wallops Flight Facility and Reno/Tahoe International Airport. The NASA Synthetic Vision System incorporates database integrity monitoring, runway incursion prevention alerting, surface maps, enhanced vision sensors, and advanced pathway guidance and synthetic terrain presentation. The paper details the goals and objectives of the flight test with a focus on the situation awareness benefits of integrating synthetic vision system enabling technologies for commercial aircraft.
Mapping the Stockholm vehicle gas supply chain using Network Theory to assess local upgraded biogas supply and demand relations

The paper uses Stockholm County as a case study to guide our analysis. The region not only concentrates the largest number of inhabitants in Sweden but also holds alone around 35% of the Swedish fleet of passenger cars using gas as fuel. The region’s potential vehicle gas demands are 460 GWh by 2020 and 1 202 GWh by 2030. The methodological approach relies on Network Theory to guide the numerical analysis of the vehicle gas supply chain in the region. Our results indicates that local vehicle gas supply chain is a rigid structure that might be averse to new entrants such as new distribution companies but, at the same time, it offers opportunities for biogas producers. Distribution companies, especially those placed in the 1st-tier segment are averse to new entrants because they present high homophily and strong ties. Hence, they are more prone to maintain the network’s status quo since the Swedish vehicle gas market is not yet well developed, which results in a lack of multiple players, which leads to cluster formation.
The Role of Children in the Design Technology

Children play games, chat with friends, tell stories, study history or math, and today this can all be done supported by new technologies. From the Internet to multimedia authoring tools, technology is changing the way children live and learn. As these new technologies become ever more critical to our children's lives, we need to be sure these technologies support children in ways that make sense for them as young learners, explorers, and avid technology users. This may seem of obvious importance, because for almost 20 years the HCI community has pursued new ways to understand users of technology. However, with children as users, it has been difficult to bring them into the design process. Children go to school for most of their days; there are existing power structures, biases, and assumptions between adults and children to get beyond; and children, especially young ones have difficulty in verbalizing their thoughts. For all of these reasons, a child's role in the design of new technology has historically been minimized. Based upon a survey of the literature and my own research experiences with children, this paper defines a framework for understanding the various roles children can have in the design process, and how these roles can impact technologies that are created. (Also cross-referenced as UMIACS-TR-99-53) URI http://hdl.handle. net/1903/1028 Collections Technical Reports from UMIACS Technical Reports of the Computer Science Department DRUM is brought to you by the University of Maryland Libraries University of Maryland, College Park, MD 20742-7011 (301)314-1328. Please send us your comments. Web Accessibility The Role of Children in the Design Technology UNIVERSITY OF MARYLAND MAKE A GIFT
A study on detection of risk factors of a toddler's fall injuries using visual dynamic motion cues

The research in this thesis is intended to aid caregivers’ supervision of toddlers to prevent accidental injuries, especially injuries due to falls in the home environment. There have been very few attempts to develop an automatic system to tackle young children’s accidents despite the fact that they are particularly vulnerable to home accidents and a caregiver cannot give continuous supervision. Vision-based analysis methods have been developed to recognise toddlers’ fall risk factors related to changes in their behaviour or environment. First of all, suggestions to prevent fall events of young children at home were collected from well-known organisations for child safety. A large number of fall records of toddlers who had sought treatment at a hospital were analysed to identify a toddler’s fall risk factors. The factors include clutter being a tripping or slipping hazard on the floor and a toddler moving around or climbing furniture or room structures. The major technical problem in detecting the risk factors is to classify foreground objects into human and non-human, and novel approaches have been proposed for the classification. Unlike most existing studies, which focus on human appearance such as skin colour for human detection, the approaches addressed in this thesis use cues related to dynamic motions. The first cue is based on the fact that there is relative motion between human body parts while typical indoor clutter does not have such parts with diverse motions. In addition, other motion cues are employed to differentiate a human from a pet since a pet also moves its parts diversely. They are angle changes of ellipse fitted to each object and history of its actual heights to capture the various posture changes and different body size of pets. The methods work well as long as foreground regions are correctly segmented.
Spatial Covariant Management of Thermodynamics Contributes to Protein Fold Function Through Quality Assurance

Although the impact of genome variation on the thermodynamic properties of the protein fold has been studied in vitro, it remains a challenge to assign these relationships across the entire polypeptide sequence in vivo. Using the Gaussian process regression-based principle of Spatial CoVariance (SCV), we globally assign on a residue-by-residue the biological thermodynamic properties contributing to the functional fold in the cell using CFTR as an example. We demonstrate the existence of a thermodynamically sensitive region of the CFTR fold involving the interface between NBD1 and ICL4 that contributes to the endoplasmic reticulum (ER) export. At the cell surface a new set of residues contribute uniquely to the management of channel function. These results support a general 'quality assurance' (QA) view of global protein fold management as an SCV principle describing the differential pre- and post-ER residue interactions contributing to compartmentalization of the energetics of the protein fold for function.
Security Assessment in Future Power Systems

The penetration of unscheduleable generation will increase due to legislation and eventually saving on fuel cost. This will cause an increase in uncertainty of power-flow and drive up balancing market costs, the safety margin for N-1 will have to increase. i.e. N-1 will not accurately represent the state of the system. A security assessment scheme (SAS) that considers probabilistic uncertainty could give financial savings and/or better security of supply. In other words a power system with a high penetration of renewables is likely to require a new type of security assessment scheme. Before that is done we must be able to compare and evaluate existing and proposed schemes. This thesis has two goals. Firstly, to be able to compare two security assessment schemes to determine which is better for the current system. The work details a computer program that combines a two stage Monte Carlo Sampler and a power system simulator to generate a level of security. The number of simulations that fail to converge within limits in N-1 and N-2 was compared to the calculated level of security and found to not be a good predictor. The second goal is to see how the level of security changes as the uncertainties of renewable generation get added into a given power system. In doing this, the effect of adding renewables can be quantified. The work found that if 15% of the generation power comes from generators the are unscheduleable or stochastic the security of supply does not greatly change. Whereas if the penetration is increased to 30% the security level become significantly worse in almost all tested scenarios.
A risk-based classification scheme for genetically modified foods: Establishing levels of concern to guide testing requirements

Public discourse on genetically modified (GM) foods tends to focus on those aspects of recombinant D N A (rDNA) technology that heighten concerns about the potential risks of G M foods. Despite this focus of concern, a wide range of GM foods exist, including those that are modified by conventional approaches, the safety of which has not been assessed in detail. Also in contention is the likelihood of unintended effects with adverse health consequences in foods derived from crops genetically modified by more modern techniques such as r D N A , compared to those derived from crops modified by conventional techniques. Divergent views exist regarding the methods by which unintended effects should be detected and monitored. With advances in genomic technology, boundaries between conventional and modern approaches to genetic modification may become blurred. There is the need for a reliable method to efficiently differentiate G M foods that require more extensive testing and regulatory oversight from those that do not, regardless of the method of modification. I propose a risk-based classification scheme (RBCS) to differentiate foods derived from G M crops based on levels of concern reflecting their potential to produce human health risks. Two categories of health effects are included in the scheme: (1) the potential for toxic/antinutritional effects, and (2) the potential for allergenic effects. To differentiate the sources of uncertainty about G M food risks, intended and unintended changes are classified separately with respect to potential toxic/antinutritional effects. Factors that may affect the level of risk are identified for each category of adverse health effects. Criteria for differentiating potential health risks are developed for each factor. The extent to which each factor satisfies the applicable criteria is rated separately. A concern level for each category of health effects is then determined by aggregating the ratings for the respective factors. This thesis describes the factors, criteria, and aggregation rules used in determining concern levels in the proposed RBCS and the process used in its development. An exploratory evaluation of selected functional aspects of the scheme is provided. The implications of the classification scheme for the graded testing of G M foods are also discussed.
SPATIAL AGGREGATION EFFECTS IN EQUILIBRIUM AND ALL-OR-NOTHING ASSIGNMENTS

The level of spatial aggregation (i.e., zone size and network detail) used in transportation analyses is commonly regarded as an important factor affecting the accuracy of the resulting estimates. However, the precise effects of the level of network detail are largely unknown. To investigate these effects empirically for the car traffic assignment module, and experiment was designed to study both the separate and combined effects of the level of detail and the type of assignment model. It involves the application of various assignment models at different levels of detail. Network models at three levels of detail-fine, medium, and coarse-were developed for the road network of Eindhoven, Netherlands (population 200,000). The results of equilibrium and all-or-nothing assignments are presented. This presentation is mainly confined to the sensitivity of link load estimates. For further clarification, effects on shortest route prediction are also discussed. The level of detail had a significant effect on load and route predictions with both assignment models. This effect proved to be consistent but diminishing: an increase in the level of detail always yields better results, but only marginal improvements can be obtained beyond a certain level. Compared with all-or-nothing assignments, equilibrium loads agree much better with traffic counts at all levels of spatial detail. Recommendations are given as to what combinations of level of detail and assignment model type should be applied in practice. (Author)
DRIVEN to Change Attitudes Toward Dating Violence: Outcomes From a 6-Month Follow-Up Study

While dating violence (DV) is a significant issue present on college campuses among students of all ethnic groups, research suggests that DV is preventable. As Latino representation at colleges increases, it is important to find DV prevention programs addressing specific sociocultural characteristics of this ethnic group. We created the DRIVEN (Dating Relationships Involving Violence End Now) program to fill a significant need for DV programming tailored to Latino college students. This study examines the durability of initial positive outcomes over a 6-month period. To do so, we conducted a 6-month follow-up with a total of 49 Latino college students attending a Hispanic Serving Institution (HSI) located on the U.S.-Mexico border. Results suggest DRIVEN outcomes were maintained on the following variables: dating violence attitudes, dating violence victimization and perpetration, and marianismo. Implications for these findings are discussed in the context of implementing group-based programs with college students.