UGR’16: Un nuevo conjunto de datos para la evaluación de IDS de red

[ES] La evaluación de algoritmos y técnicas para implementar sistemas de detección de intrusiones depende en gran medida de la existencia de conjuntos de datos (dataset) bien diseñados. En los últimos años, se ha realizado un gran esfuerzo para construir estos datasets. En este artículo se presenta un nuevo dataset que se construye con tráfico real y ataques actualizados. La principal ventaja de este conjunto de datos sobre los anteriores es su utilidad para la evaluación de IDSs que consideran la evolución a largo plazo y la periodicidad del tráfico. También permite entrenar y evaluar modelos que consideren las diferencias entre día/noche o entre días laborables/fines de semana.Este trabajo ha sido parcialmente financiado por el Gobierno Espanol-MINECO (Ministerio de Economía y Competitividad) y fondos FEDER, a traves del proyecto TIN2014-60346-RMaciá-Fernández, G.; Camacho, J.; Magán-Carrión, R.; Fuentes-García, M.; García-Teodoro, P.; Theron, R. (2018). UGR’16: Un nuevo conjunto de datos para la evaluación de IDS de red. En XIII Jornadas de Ingeniería telemática (JITEL 2017). Libro de actas. Editorial Universitat Politècnica de València. 71-78. https://doi.org/10.4995/JITEL2017.2017.6520OCS717

Data-Driven Visual Performance Analysis in Soccer: An Exploratory Prototype

In soccer, understanding of collective tactical behavior has become an integral part in sports analysis at elite levels. Evolution of technology allows collection of increasingly larger and more specific data sets related to sport activities in cost-effective and accessible manner. All this information is minutely scrutinized by thousands of analysts around the globe in search of answers that can in the long-term help increase the performance of individuals or teams in their respective competitions. As the volume of data increases in size, so does the complexity of the problem and the need for suitable tools that leverage the cognitive load involved in the investigation. It is proven that visualization and computer-vision techniques, correctly applied to the context of a problem, help data analysts focus on the relevant information at each stage of the process, and generally lead to a better understanding of the facts that lie behind the data. In the current study, we presented a software prototype capable of assisting researchers and performance analysts in their duty of studying group collective behavior in soccer games and trainings. We used geospatial data acquired from a professional match to demonstrate its capabilities in two different case studies. Furthermore, we successfully proved the efficiency of the different visualization techniques implemented in the prototype and demonstrated how visual analysis can effectively improve some of the basic tasks employed by sports experts on their daily work, complementing more traditional approaches

A visual analytics approach for understanding biclustering results from microarray data

Abstract Background Microarray analysis is an important area of bioinformatics. In the last few years, biclustering has become one of the most popular methods for classifying data from microarrays. Although biclustering can be used in any kind of classification problem, nowadays it is mostly used for microarray data classification. A large number of biclustering algorithms have been developed over the years, however little effort has been devoted to the representation of the results. Results We present an interactive framework that helps to infer differences or similarities between biclustering results, to unravel trends and to highlight robust groupings of genes and conditions. These linked representations of biclusters can complement biological analysis and reduce the time spent by specialists on interpreting the results. Within the framework, besides other standard representations, a visualization technique is presented which is based on a force-directed graph where biclusters are represented as flexible overlapped groups of genes and conditions. This microarray analysis framework (BicOverlapper), is available at http://vis.usal.es/bicoverlapper Conclusion The main visualization technique, tested with different biclustering results on a real dataset, allows researchers to extract interesting features of the biclustering results, especially the highlighting of overlapping zones that usually represent robust groups of genes and/or conditions. The visual analytics methodology will permit biology experts to study biclustering results without inspecting an overwhelming number of biclusters individually.</p

Persistent Megalocystic Ovary Following in Vitro Fertilization in a Postpartum Patient with Polycystic Ovarian Syndrome

SummaryObjectiveOvarian hyperstimulation syndrome (OHSS) is more severe when pregnancy occurs, as the developing pregnancy produces human chorionic gonadotropin, which stimulates the ovary's persistent growth. If no pregnancy occurs, the syndrome will typically resolve within 1 week. In a maintained pregnancy, slow resolution of symptoms usually occurs over 1-2 months.Case ReportA 31-year-old woman, gravida 2, para 1, aborta 1, with polycystic ovary syndrome underwent in vitro fertilization (IVF) with clomiphene citrate and follicle-stimulating hormone/gonadotropin releasing hormone-antagonist stimulation. During transvaginal oocyte retrieval, enlarged bilateral ovaries were noted. She had an episode of OHSS after IVF/embryo transfer, for which paracentesis was performed three times. Pregnancy was achieved. Throughout antenatal examinations, bilateral ovaries were enlarged. She delivered a healthy baby by cesarean section at term. However, 1 month after delivery, the bilateral ovary had not shrunk, and levels of tumor markers CA125 and CA199 were 50.84 and 41.34 U/mL, respectively. At laparotomy for suspected malignancy, both adnexae formed “kissing ovaries”, which were multinodulated with yellow serous fluid. Specimens from wedge resection submitted for frozen section showed a benign ovarian cyst. The final pathology report showed bilateral follicle cysts.ConclusionWith the increasing use of gonadotropins in the management of infertility, ovarian enlargement secondary to hyperstimulation is common. Generally, symptoms appear between the 6th and 13th weeks of pregnancy and disappear thereafter. The hyperstimulated ovary often subsides after the first trimester. This case is unusual as the megalocystic ovary persisted after delivery. To the best of our knowledge, we report the first case of enlarged bilateral ovaries persisting 2 months after delivery

Cross-domain Visual Exploration of Academic Corpora via the Latent Meaning of User-authored Keywords

Nowadays, scholars dedicate a substantial amount of their work to the querying and browsing of increasingly large collections of research papers on the Internet. In parallel, the recent surge of novel interdisciplinary approaches in science requires scholars to acquire competencies in new fields for which they may lack the necessary vocabulary to formulate adequate queries. This problem, together with the issue of information overload, poses new challenges in the fields of natural language processing (NLP) and visualization design that call for a rapid response from the scientific community. In this respect, we report on a novel visualization scheme that enables the exploration of research paper collections via the analysis of semantic proximity relationships found in author-assigned keywords. Our proposal replaces traditional string queries by a bag-of-words (BoW) extracted from a user-generated auxiliary corpus that captures the intentionality of the research. Continuing on the line established by previous works, we combine novel advances in the fields of NLP with visual network analysis techniques to offer scholars a perspective of the target corpus that better fits their research needs. To highlight the advantages of our proposal, we conduct two experiments employing a collection of visualization research papers and an auxiliary cross-domain BoW. Here, we showcase how our visualization can be used to maximize the effectiveness of a browsing session by enhancing the language acquisition task, which allows an effective extraction of knowledge that is in line with the users’ previous expectations

Rösträtt för kvinnor

Solförmörkelse, s. 1, Internationella kvinnorösträttsalliansen och kriget : 12 miljoner kvinnor vädja till Europas regeringar, s. 1, Ezaline Boheman, Kvinnornas uppbåd : verksamheten utvecklas, s. 2, Annie Nyström, s. 2, Kvinnornas rösträttsfråga inför riksdagen : en debatt i likgiltighetens tecken : justitieministern vädjar förgäves till Första kammaren, s. 3, Gurli Hertzman-Ericson, Kvinnorösträtten i skandinavisk politik, s. 4, Anna Roos, K.F.U.K.:s världskonferens : beriktigande, s.

Configuration Space of 3D Mobile Robots: Parallel Processing

In this paper we present an analysis that indentifies opportunities of introducing parallelism in the calculation of the configuration space. When the Convolution Theorem is used for this evaluation, two levels have appeared within the basic operation of the algorithms and another one for the employed computational tool (Fast Fourier Transform, FFT)