Unsupervised Time Series Extraction from Controller Area Network Payloads

This paper introduces a method for unsupervised tokenization of Controller Area Network (CAN) data payloads using bit level transition analysis and a greedy grouping strategy. The primary goal of this proposal is to extract individual time series which have been concatenated together before transmission onto a vehicle's CAN bus. This process is necessary because the documentation for how to properly extract data from a network may not always be available; passenger vehicle CAN configurations are protected as trade secrets. At least one major manufacturer has also been found to deliberately misconfigure their documented extraction methods. Thus, this proposal serves as a critical enabler for robust third-party security auditing and intrusion detection systems which do not rely on manufacturers sharing confidential information.Comment: 2018 IEEE 88th Vehicular Technology Conference (VTC2018-Fall

Personality and hospitality management development

Ovaj rad istražuje i analizira doprinos osobnosti mjerama koje poduzima management prilikom funkcije u hotelijerstvu, i demonstrira zaključak da se profili korisnika mogu objektivnije sagledati korištenjem za to specifičnih instrumenata. Na temelju studija provedenih u Mađarskoj i Češkoj Republici, profili studenata zadnje godine studija hotelijerstva, identificirani su uspoređeni sa sadašnjim izvršiteljima takvih poslova. Analiza rezultata istraživanja pokazuje nerazumijevanje između studenata / sadašnjeg managementa. Zaključak predlaže da se obrazovni programi trebaju modificirati kako bi studenti bili spremni za realne i relevantne potrebe u hotelijerstvu. Implementacija ovog istraživanja trebala bi rezultirati većim zadovoljstvom studenata i njihovim aspiracijama prema određenim smjernicama njihove karijere na višoj razini, a time bi se pravilno usmjerilo i djelovanje managementa u hotelijerstvu.The research analyses the contribution of personality to the exercise of the management function within the hospitality industry, and demonstrates that the profiles of incumbents can be measured more objectively by the use of self-assessment instruments. On the basis of pilot studies in Hungary and the Czech Republic a the profiles of final year hospitality students were identified and were compared with current job incumbents. Analysis of the findings indicate a mis-match between student and management traits. The conclusions suggest that educational programmes should be modified if the student experience is to be made more realistic and relevant to the needs o f industry. Implementation of the research should result in improved satisfaction of students\u27 career aspirations and on a wider level, it could contribute significantly to management performance across the industry

Personal attributes associated with successful management in the hospitality industry - a pilot study in licensed retail operations

The research sought to identify key qualities associated with successful licensed retail managers, defined as effective, efficient and profitable operators. Through semi-structured in-depth interviews, managers’ views on success criteria, and problems associated with this type of employment, were elicited. The greatest assets were considered to be personal stability, mobility, good health and support from relatives/family. Physical and mental stamina, well-developed interpersonal skills, anticipation, vigilance and attention to detail were also cited. Prior academic attainment was not considered to be crucial to success; hard biodata from application forms did not allow successful managers to be identified.. The greatest problems in the job centred on people management. Reasons for choosing the job included variety, challenge, the need to be with, enjoyment from talking to, entertaining, pleasing and developing others and delivering a service. Elements of emotional intelligence, including commitment and hardiness, were identified as primary success indicators

Community phenology of insects on oak:Local differentiation along a climatic gradient

Climate change is advancing the onset of phenological events, with the rate of advance varying among species and trophic levels. In addition, local populations of the same species may show genetic differences in their response to seasonal cues. If populations of interacting species differ in their response, then climate change may result in geographically varying shifts in the community-level distribution of interaction strength. We explored the magnitude of trophic- and species-level responses to temperature in a tritrophic system comprising pedunculate oak, insect herbivores, and their associated parasitoids. We sampled local realizations of this community at five sites along a transect spanning fifteen degrees of latitude. Samples from each trophic level at each site were exposed to the same set of five climatic regimes during overwintering in climate chambers. We then recorded the number of days and degree-days required for oak acorns to develop and insects to emerge. In terms of dates of events, phenology differed among populations. In terms of degree-days, we found that for two species pairs, the heat sum required to develop in spring differed by an additional similar to 500 degree-days between trophic levels when overwintering at the highest temperature. For three species, within-population variation in the number of degree-days required for emergence was higher at warmer temperatures. Our findings suggest that changing temperatures can modify interactions within a community by altering the relative phenology of interacting species and that some interactions are more vulnerable than others to a shift in temperature. The geographic variation in the phenological response of a species suggests that there is a genetic component in determining the phenology of local populations. Such local variation blended with interspecific differences in responses makes it complex to understand how communities will respond to warmer temperatures

Metagenomic sequencing suggests a diversity of RNA interference-like responses to viruses across multicellular eukaryotes

<div><p>RNA interference (RNAi)-related pathways target viruses and transposable element (TE) transcripts in plants, fungi, and ecdysozoans (nematodes and arthropods), giving protection against infection and transmission. In each case, this produces abundant TE and virus-derived 20-30nt small RNAs, which provide a characteristic signature of RNAi-mediated defence. The broad phylogenetic distribution of the Argonaute and Dicer-family genes that mediate these pathways suggests that defensive RNAi is ancient, and probably shared by most animal (metazoan) phyla. Indeed, while vertebrates had been thought an exception, it has recently been argued that mammals also possess an antiviral RNAi pathway, although its immunological relevance is currently uncertain and the viral small RNAs (viRNAs) are not easily detectable. Here we use a metagenomic approach to test for the presence of viRNAs in five species from divergent animal phyla (Porifera, Cnidaria, Echinodermata, Mollusca, and Annelida), and in a brown alga—which represents an independent origin of multicellularity from plants, fungi, and animals. We use metagenomic RNA sequencing to identify around 80 virus-like contigs in these lineages, and small RNA sequencing to identify viRNAs derived from those viruses. We identified 21U small RNAs derived from an RNA virus in the brown alga, reminiscent of plant and fungal viRNAs, despite the deep divergence between these lineages. However, contrary to our expectations, we were unable to identify canonical (i.e. <i>Drosophila-</i> or nematode-like) viRNAs in any of the animals, despite the widespread presence of abundant micro-RNAs, and somatic transposon-derived piwi-interacting RNAs. We did identify a distinctive group of small RNAs derived from RNA viruses in the mollusc. However, unlike ecdysozoan viRNAs, these had a piRNA-like length distribution but lacked key signatures of piRNA biogenesis. We also identified primary piRNAs derived from putatively endogenous copies of DNA viruses in the cnidarian and the echinoderm, and an endogenous RNA virus in the mollusc. The absence of canonical virus-derived small RNAs from our samples may suggest that the majority of animal phyla lack an antiviral RNAi response. Alternatively, these phyla could possess an antiviral RNAi response resembling that reported for vertebrates, with cryptic viRNAs not detectable through simple metagenomic sequencing of wild-type individuals. In either case, our findings show that the antiviral RNAi responses of arthropods and nematodes, which are highly divergent from each other and from that of plants and fungi, are also highly diverged from the most likely ancestral metazoan state.</p></div

Toward a structural understanding of turbulent drag reduction: nonlinear coherent states in viscoelastic shear flows

Nontrivial steady flows have recently been found that capture the main structures of the turbulent buffer layer. We study the effects of polymer addition on these "exact coherent states" (ECS) in plane Couette flow. Despite the simplicity of the ECS flows, these effects closely mirror those observed experimentally: Structures shift to larger length scales, wall-normal fluctuations are suppressed while streamwise ones are enhanced, and drag is reduced. The mechanism underlying these effects is elucidated. These results suggest that the ECS are closely related to buffer layer turbulence.Comment: 5 pages, 3 figures, published version, Phys. Rev. Lett. 89, 208301 (2002

Using HbA1c to Diagnose Diabetes in the UC, Davis-Type 2 Diabetes Mellitus Rat Model

With disease progression, type 2 diabetes mellitus (T2DM) leads to debilitating complications arising from damage to nerves and blood vessels. Importantly, investigations focusing on T2DM progression have the capacity to distinguish individuals at greater risk for these severe complications through the identification of predictive biomarkers. Hence, the accurate diagnosis of T2DM is critical to such investigations. UC Davis (UCD) T2DM rats are born without diabetes and develop the disease over time with a similar pathophysiology to that in humans. This unique rat model allows researchers to investigate predictive biomarkers linked to the progression of T2D; however, such investigations require an accurate diagnosis of T2DM onset. PURPOSE: To determine the most accurate measure to diagnose T2DM using UCD-T2DM rats. METHODS: 10 male UCD-T2DM rats were used in this study. Glucose and HbA1c were measured weekly from the tail beginning at 16 wks of age (before onset) and continuing until 25 wks of age (all rats had become diabetic). These measures were taken under both fasted (8 hrs) and random conditions as well as in the morning (AM) and afternoon (PM). A two-way repeated measures ANOVA was run with condition [fasted (FG) vs random (RG)] and time (AM vs PM) as factors, followed by Holm Sidak post hoc analyses. In addition, growth curves were fit to the data for all rats to estimate the trajectories of RG and HbA1c. RESULTS: We found that RG was more variable compared to FG (FG: 116±46 vs RG: 216±94 mg/dL; n=10). However, HbA1c was stable across both conditions (fasted HbA1c: 6.0±0.8 vs random HbA1c: 6.0±1.0%; n=10). In addition, both FG and RG morning levels were significantly lower compared to afternoon (FG AM: 99±6 vs FG PM: 133±19 mg/dL; n=10; p0.05). In addition, the location on the growth curve where RG crossed 200 mg/dL (currently the most common diagnostic criteria used) corresponded to a HbA1c of 5.6%. CONCLUSION: A HbA1c of 5.6% may provide a more accurate measure to diagnose the onset of diabetes in the UCD-T2DM rat model

Can drones count gulls? Minimal disturbance and semiautomated image processing with an unmanned aerial vehicle for colony-nesting seabirds

Accurate counts of wild populations are essential to monitor change through time, but some techniques demand specialist surveyors and may result in unacceptable disturbance or inaccurate counts. Recent technological developments in unmanned aerial vehicles (UAVs) offer great potential for a range of survey and monitoring approaches. They literally offer a bird’s-eye view, but this increased power of observation presents the challenge of translating large amounts of imagery into accurate survey data. Seabirds, in particular, present the particular challenges of nesting in large, often inaccessible colonies that are difficult to view for ground observers, which are commonly susceptible to disturbance. We develop a protocol for carrying out UAV surveys of a breeding seabird colony (Lesser Black-backed Gulls, Larus fuscus) and subsequent image processing to provide a semiautomated classification for counting the number of birds. Behavioral analysis of the gull colonies demonstrated that minimal disturbance occurred during UAV survey flights at an altitude of 15 m above ground level, which provided high-resolution imagery for analysis. A protocol of best practice was developed using the expertise from both a UAV perspective and that of a dedicated observer. A GIS-based semiautomated classification process successfully counted the gulls, with a mean agreement of 98% and a correlation of 99% with manual counts of imagery. We also propose a method to differentiate between the different gull species captured by our survey. Our UAV survey and analysis approach provide accurate counts (when comparing manual vs. semi-automated counts taken from the UAV imagery) of a wild seabird population with minimal disturbance, with the potential to expand this to include species differentiation. The continued development of analytical and survey tools whilst minimizing the disturbance to wild populations is both key to unlocking the future of the rapid advances in UAV technology for ecological survey