An Ontology-Based Forensic Analysis Tool

The analysis of forensic investigation results has generally been identified as the most complex phase of a digital forensic investigation. This phase becomes more complicated and time consuming as the storage capacity of digital devices is increasing, while at the same time the prices of those devices are decreasing. Although there are some tools and techniques that assist the investigator in the analysis of digital evidence, they do not adequately address some of the serious challenges, particularly with the time and effort required to conduct such tasks. In this paper, we consider the use of semantic web technologies and in particular the ontologies, to assist the investigator in analyzing digital evidence. A novel ontology-based framework is proposed for forensic analysis tools, which we believe has the potential to influence the development of such tools. The framework utilizes a set of ontologies to model the environment under investigation. The evidence extracted from the environment is initially annotated using the Resource Description Framework (RDF). The evidence is then merged from various sources to identify new and implicit information with the help of inference engines and classification mechanisms. In addition, we present the ongoing development of a forensic analysis tool to analyze content retrieved from Android smart phones. For this purpose, several ontologies have been created to model some concepts of the smart phone environment. Keywords: digital forensic investigation, digital forensic analysis tool, semantic web, ontology, androi

An Experimental Reef Program to Test Designs of an Artificial Reef for Kelp Mitigation

An artificial reef is being planned to mitigate alleged losses of giant kelp and the invertebrate and fish communities associated with a kelp bed. The project\u27s first step was to initiate comprehensive siting and design studies. A 25-yr time series of kelp surface canopy maps for a 100 km reach of coastline was entered into a GIS database and analyzed in conjunction with geotechnical and human-use information to define ecologically favorable and acceptable sites in the general area. A site was chosen near an area that appeared most promising in the primary study area. This study\u27s field work determined that the design of the mitigation reef will not be straightforward and that an experimental phase to test various designs needs to be performed. We recommend that a low relief (0.5-1.5 m) reef with relatively high exposure to sand scour and occasional, partial burial be constructed in order to promote the establishment of kelp. Scattered rock and broken concrete at three different density spreads (17, 34, and 67%) on the bottom will be tested. This study has revealed that existing artificial reefs have not typically sustained a persistent kelp bed. This fact, therefore, makes the Phase I experiment even more critical than originally thought

Improvement in the decadal prediction skill of the North Atlantic extratropical winter circulation through increased model resolution

In this study the latest version of the MiKlip decadal hindcast system is analyzed, and the effect of an increased horizontal and vertical resolution on the prediction skill of the extratropical winter circulation is assessed. Four different metrics – the storm track, blocking, cyclone and windstorm frequencies – are analyzed in the North Atlantic and European region. The model bias and the deterministic decadal hindcast skill are evaluated in ensembles of five members in a lower-resolution version (LR, atm: T63L47, ocean: 1.5∘ L40) and a higher-resolution version (HR, atm: T127L95, ocean: 0.4∘ L40) of the MiKlip system based on the Max Planck Institute Earth System model (MPI-ESM). The skill is assessed for the lead winters 2–5 in terms of the anomaly correlation of the quantities' winter averages using initializations between 1978 and 2012. The deterministic predictions are considered skillful if the anomaly correlation is positive and statistically significant. While the LR version shows common shortcomings of lower-resolution climate models, e.g., a storm track that is too zonal and southward displaced as well as a negative bias of blocking frequencies over the eastern North Atlantic and Europe, the HR version counteracts these biases. Cyclones, i.e., their frequencies and characteristics like strength and lifetime, are particularly better represented in HR. As a result, a chain of significantly improved decadal prediction skill between all four metrics is found with the increase in the spatial resolution. While the skill of the storm track is significantly improved primarily over the main source region of synoptic activity – the North Atlantic Current – the other extratropical quantities experience a significant improvement primarily downstream thereof, i.e., in regions where the synoptic systems typically intensify. Thus, the skill of the cyclone frequencies is significantly improved over the central North Atlantic and northern Europe, the skill of the blocking frequencies is significantly improved over the Mediterranean, Scandinavia and eastern Europe, and the skill of the windstorms is significantly improved over Newfoundland and central Europe. Not only is the skill improved with the increase in resolution, but the HR system itself also exhibits significant skill over large areas of the North Atlantic and European sector for all four circulation metrics. These results are particularly promising regarding the high socioeconomic impact of European winter windstorms and blocking situations

Regenerative Performance of the NASA Symmetrical Solid Oxide Fuel Cell Design

The NASA Glenn Research Center is developing both a novel cell design (BSC) and a novel ceramic fabrication technique to produce fuel cells predicted to exceed a specific power density of 1.0 kW/kg. The NASA Glenn cell design has taken a completely different approach among planar designs by removing the metal interconnect and returning to the use of a thin, doped LaCrO3 interconnect. The cell is structurally symmetrical. Both electrodes support the thin electrolyte and contain micro-channels for gas flow-- a geometry referred to as a bi-electrode supported cell or BSC. The cell characteristics have been demonstrated under both SOFC and SOE conditions. Electrolysis tests verify that this cell design operates at very high electrochemical voltage efficiencies (EVE) and high H2O conversion percentages, even at the low flow rates predicted for closed loop systems encountered in unmanned aerial vehicle (UAV) applications. For UAVs the volume, weight and the efficiency are critical as they determine the size of the water tank, the solar panel size, and other system requirements. For UAVs, regenerative solid oxide fuel cell stacks (RSOFC) use solar panels during daylight to generate power for electrolysis and then operate in fuel cell mode during the night to power the UAV and electronics. Recent studies, performed by NASA for a more electric commercial aircraft, evaluated SOFCs for auxiliary power units (APUs). System studies were also conducted for regenerative RSOFC systems. One common requirement for aerospace SOFCs and RSOFCs, determined independently in each application study, was the need for high specific power density and volume density, on the order of 1.0 kW/kg and greater than 1.0 kW/L. Until recently the best reported performance for SOFCs was 0.2 kW/kg or less for stacks. NASA Glenn is working to prototype the light weight, low volume BSC design for such high specific power aerospace applications

The Constitutional Amending Process

Since the failure to ratify the Meech Lake Accord in June 1990, the constitutional future of Canada has been the topic of increasingly urgent debate. So far, a consensus has emerged on two things. First, federalism as it is enshrined in the Constitution Acts of 1867 and 1982 no longer meets the needs and aspirations of the majority. Second, the means used in the past to achieve major constitutional revision are no longer acceptable to the majority of Canadians. Put simply, constitutional revision is essential if Canada is to survive and the means of achieving this revision must be more open and more consultative in nature than in the past. We have not yet reached a consensus on issues of constitutional substance or form, including the form public input should take in the future. But one thing is clear: if an agreement is reached on changes to the Constitution, the issues of how these changes can be achieved under the existing amending process and how future amendments can be accomplished will have to be addressed. Attention will also have to be given to the formal amending procedure involving the rules for ratification and the informal procedure involving how proposals for amendment are formulated and initiated. To that end, the federal and provincial governments have been studying these various aspects of the amending process from initiation to ratification, past, present, and future. This report contributes to that undertaking

Bis(2-naphthyl­meth­yl)diphenyl­silane

The title compound, C34H28Si, was prepared as an inter­nal standard for diffusion-ordered NMR spectroscopy. The four ligands are arranged tetra­hedrally around the Si atom. The two naphthalene systems are nearly perpendicular, making an angle of 86.42 (4)° with one another. A naphthalene system and a phenyl ring are also nearly perpendicular, making an angle of 86.18 (6)° with one another. In the crystal, the mol­ecules pack in columns parallel to the a axis, and exhibit arene C—H⋯π(arene) inter­actions both within and between columns

UC-36 Using Machine Learning Techniques to Predict RT-PCR Results for COVID-19 Patients.

With the COVID-19 pandemic still a threat, healthcare professionals and medical industries keep searching for better ways to mitigate the spread of COVID-19. While Machine Learning has been applied in many other domains, there is now a high demand for diagnosis systems that utilize Machine Learning techniques in the healthcare domain and in particular combating COVID-19. In this project, we explore the role of Machine Learning models in combating COVID-19, using WEKA as the main tool for analysis.Advisors(s): Dr. Ming Yang - IT 4983 Capstone Professor Dr. Seyedamin Pouriyeh - Project OwnerTopic(s): Data/Data AnalyticsIT 498

Formulasi Dan Uji Stabilitas Fisik Krim Pelembab Ekstrak Rumput Laut (Eucheuma cottonii)

Seaweed is a natural ingredient which based on its mechanism of action can function as a moisturizer and skin softener. Moisturizer is one skicare cosmetic that reduces the symptoms of dry skin and smoothens rough skin. This study aims to formulate and examine the physical stability of moisturizing cream preparations. This reserch is a laboratory experimental study. The moisturizing cream is composed of three formulas with different combined concentrations of stearic acid and triethanolamine emulgators, such as F1 stearic acid (10%) and triethanolamine (2%), F2 stearic acid (15%) and triethanolamine (3%), and F3 stearic acid (20%) and triethanolamine (4%). Preparation evaluation includes organoleptic, homogeneity, pH, viscosity, dispersion, and adhesion test. The Result of organoleptic test show a soft preparation and not sticky, and the homogeneity test shows a homogeneous preparation. The pH test shows that the higher the stearic acid level, the decreaswd pH level. Moreover, the viscosity test show that F1 has a slightl soft consistency, F2 is thick, and F3 has a very thick consistency. The cream disperpesion test show between 3-7 cm, which is a comfortable consistency. Another test is adhesion, which exeeds this research’s expected specification. Due to the pgysical test producing a good preparation, it concludes that seaweed extract (Eucheuma cottonii) can be formulated as a moisturizing cream