Jet Company (Czechia)

Abstract Vehicle-to-grid technology enables electric vehicles to contribute their large batteries and high (dis)charging powers to power systems reserves. Here we report the first demonstration of a fleet of vehicles discharging to support system security after a frequency contingency in a national grid. Our results highlight the potential of vehicle-to-grid, with vehicles discharging within 6 seconds of the contingency event, and shortcomings, with vehicles recommencing charging before the power system had fully recovered.

Naslov učbenika v dveh knjigah, Trdnost I in Trdnost II, je posnet po naslovu predmeta Trdnost na univerzitetnem študiju gradbeništva na Fakulteti za gradbeništvo in geodezijo Univerze v Ljubljani. Predmet je nastal po uvedbi bolonjskega študijskega programa z združitvijo in občutnim zmanjšanjem skupnega obsega dotedanjih predmetov Mehanika trdnih teles in Trdnost. Prvi del učbenika je tako v celoti posvečen vsebinam, ki jih sicer v tehniški literaturi srečamo pod imeni Mehanika trdnih teles, Mehanika kontinuuma, Mehanika materialov in podobno. Šele v drugem delu se dotaknemo vsebin, ki bi jih pogojno lahko označili kot probleme trdnosti elementov konstrukcij in metod za njihovo matematično obravnavo.

Traditional quantile estimators that are based on one or two order statistics are a common way to estimate distribution quantiles based on the given samples. These estimators are robust, but their statistical efficiency is not always good enough. A more efficient alternative is the Harrell-Davis quantile estimator which uses a weighted sum of all order statistics. Whereas this approach provides more accurate estimations for the light-tailed distributions, it’s not robust. To be able to customize the tradeoff between statistical efficiency and robustness, we could consider a trimmed modification of the Harrell-Davis quantile estimator. In this approach, we discard order statistics with low weights according to the highest density interval of the beta distribution.

泡盛醸造に用いられる黒麹菌はいわゆる黒カビとは異なり，醸造に適した発酵能力を有し，カビ毒を生産しないなどの特徴を持つ産業上の有用株である。近年，黒麹菌の遺伝子情報が明らかになり黒カビAspergillus nigerとは区別される種Aspergillus luchuensisとして再定義された。A. luchuensisには多数の株が存在し，形態や性質の多様性が見られることから，この多様性を説明する遺伝子背景について情報を得ることの意義は大きい。

This paper contains the design and development of an adaptive systems ( AdaptiveSystems Domain-Specific Language - DSL) framework to assist language developers and data scientists in their attempt to apply Artificial Intelligence (AI) algorithms in several application domains. Big-data processing and AI algorithms are at the heart of autonomics research groups among industry and academia. Major advances in the field have traditionally focused on algorithmic research and increasing the performance of the developed algorithms. However, it has been recently recognized by the AI community that the applicability of these algorithms and their consideration in context is of paramount importance for their adoption. Current approaches to address AI in context lie in two areas: adaptive systems research that mainly focuses on implementing adaptivity mechanisms (technical perspective) and AI in context research that focuses on business aspects (business perspective). There is currently no approach that combines all aspects required from business considerations to an appropriate level of abstraction. In this paper, we attempt to address the problem of designing adaptive systems and therefore providing AI in context by utilising DSL technology. We propose a new DSL ( AdaptiveSystems ) and a methodology to apply this to the creation of a DSL for specific application domains such as AdaptiveVLE (Adaptive Virtual Learning Environment) DSL. The language developer will be able to instantiate the AdaptiveSystems DSL to any application domain by using the guidelines in this paper with an integrated path from design to implementation. The domain expert will then be able to use the developed DSL (e.g. AdaptiveVLE DSL) to design and develop their application. Future work will include extension and experimentation of the applicability of this work to more application domains within British Telecom (BT) and other areas such as health care, finance, etc.

Sintered tungsten carbide which has high hardness and high heat resistance, has been widely used in molds and dies. Research on the development of a cutting technology for sintered tungsten carbide (sintered WC-Co alloy) has been pursued mainly with the use of a turning process. We focused on building an efficient milling method for sintered tungsten carbide by using diamond-coated ball end tools, and have investigated their basic properties under specific cutting conditions. This study extends our previous work by enhancing cutting distance in the milling of sintered tungsten carbide, especially that with a “fine” WC grain. The surface roughness of cut workpieces is evaluated from the point of view of the quality of surface roughness. A series of cutting experiments under different cutting conditions were carried out, and the possibility of deriving a suitable cutting condition for the ball end milling of sintered tungsten carbide is discussed.

This paper describes the design and development of a Classification Algorithms Framework (CAF) using the JetBrains MPS domain-specific languages (DSLs) development environment. It is increasingly recognized that the systems of the future will contain some form of adaptivity therefore making them intelligent systems as opposed to the static systems of the past. These intelligent systems can be extremely complex and difficult to maintain. Descriptions at higher-level of abstraction (system-level) have long been identified by industry and academia to reduce complexity. This research presents a Framework of Classification Algorithms at system-level that enables quick experimentation with several different algorithms from Naive Bayes to Logistic Regression. It has been developed as a tool to address the requirements of British Telecom's (BT's) data-science team. The tool has been presented at BT and JetBrains MPS and feedback has been collected and evaluated. Beyond the reduction in complexity through the system-level description, the most prominent advantage of this research is its potential applicability to many application contexts. It has been designed to be applicable for intelligent applications in several domains from business analytics, eLearning to eHealth, etc. Its wide applicability will contribute to enabling the larger vision of Artificial Intelligence (AI) adoption in context.

The polyphagous shot hole borer (Euwallacea nr. fornicatus, Coleoptera: Curculionidae: Scolytinae), an exotic and invasive ambrosia beetle, was recently found attacking a number of tree species in Los Angeles, Orange, Riverside, and San Diego Counties in southern California. Their colonization and subsequent inoculation of a suite of symbiotic fungi that cause Fusarium Dieback, has resulted in extensive mortality of some tree species, including, California sycamore (Platanus racemose Nutt.). There are no sustainable control options for polyphagous shot hole borer other than maintaining tree vigor and removal of severely infested host material. The effectiveness of therapeutic treatments of an injected systemic insecticide containing emamectin benzoate (EB) alone and in combination with a systemic fungicide, propiconazole (P), was evaluated over a 4-yr period for maintaining the health of individual sycamore trees infested by polyphagous shot hole borer. All treatments containing EB reduced levels of polyphagous shot hole borer colonization and associated sap flow at attack sites compared to untreated controls. A second trial evaluated preventative treatments of EB and P alone or combined to protect individual sycamore from colonization by polyphagous shot hole borer. After 45 mo posttreatment, all treatments significantly reduced polyphagous shot hole borer attack levels and successful attacks compared to untreated controls (EB + P > EB alone > P alone). We concluded that EB alone or combined with P are acceptable therapeutic and preventative treatments for management of polyphagous shot hole borer in California sycamore in southern California.

Este artigo parte da premissa que a tecnologia é um dos itens necessários para a existência humana nos dias de hoje e, por isto, é um item que requer uma análise pelo ponto de vista da sustentabilidade. Dentro das possibilidades tecnológicas, destaca a relevância da utilização de softwares livres como um meio para uma prática artí­stica sustentável, tendo em vista que o código aberto permite a compreensão dos aspectos inerentes dos meios de produção e por consequência viabiliza a realização de uma intencionalidade artí­stica bem informada e responsável. Para o desenvolvimento dos argumentos, baseia-se em autores como Vilém Flusser, Heinz von Foerster e Davide Brocchi.