A Spectroscopic and Photometric Investigation of the Mercury-Manganese Star KIC 6128830

The advent of space-based photometry provides the opportunity for the first precise characterizations of variability in Mercury-Manganese (HgMn/CP3) stars, which might advance our understanding of their internal structure. We have carried out a spectroscopic and photometric investigation of the candidate CP3 star KIC 6128830. A detailed abundance analysis based on newly-acquired high-resolution spectra was performed, which confirms that the star's abundance pattern is fully consistent with its proposed classification. Photometric variability was investigated using four years of archival Kepler data. In agreement with results from the literature, we have identified a single significant and independent frequency $f_1$=0.2065424 d$^{-1}$ with a peak-to-peak amplitude of $\sim$3.4 mmag and harmonic frequencies up to $5f_1$. Drawing on the predictions of state-of-the-art pulsation models and information on evolutionary status, we discuss the origin of the observed light changes. Our calculations predict the occurrence of g-mode pulsations at the observed variability frequency. On the other hand, the strictly mono-periodic nature of the variability strongly suggests a rotational origin. While we prefer the rotational explanation, the present data leave some uncertainty.Comment: 13 pages, 13 figures, accepted for publication in MNRA

The ModelCC Model-Driven Parser Generator

Syntax-directed translation tools require the specification of a language by means of a formal grammar. This grammar must conform to the specific requirements of the parser generator to be used. This grammar is then annotated with semantic actions for the resulting system to perform its desired function. In this paper, we introduce ModelCC, a model-based parser generator that decouples language specification from language processing, avoiding some of the problems caused by grammar-driven parser generators. ModelCC receives a conceptual model as input, along with constraints that annotate it. It is then able to create a parser for the desired textual syntax and the generated parser fully automates the instantiation of the language conceptual model. ModelCC also includes a reference resolution mechanism so that ModelCC is able to instantiate abstract syntax graphs, rather than mere abstract syntax trees.Comment: In Proceedings PROLE 2014, arXiv:1501.0169

Interaction-driven definition of e-business processes

Business-to-business interaction (B2Bi) is the next step for corporate IT [1]. Business relationships become increasingly dynamic, and new requirements emerge for data and process management. Standardisation initiatives are successfully targeting business ontology [4]. Still, business agility mainly depends on the flexibility of the business processes of a company. In the B2B space, traditional approaches to process modelling and management are inadequate. Today more than ever, traditional workflow management is crucial for the internal effectiveness of a company. Internal efficiency is a prerequisite for external agility. From both a technical and a business perspective, internal workflow management relies on specific assumptions in terms of resources involved in the process, as well as the process itself [2]. Level of control, availability, reliability, and cost stability are parameters that traditional process models and technology can almost take for granted. A single authority ruling on the process definition and the total control over process execution are also basic concepts for internal workflows. From a business perspective, a big upfront investment is put in the complete definition of process specifications. A different conceptual framework is required for the definition and management of e-business processes [3, 5]. The intrinsic capability to adapt to rapidly changing business requirements becomes crucial. The line of research explored in this paper derives from an approach to process modelling and management that explicitly targets the peculiarities and dynamics of B2Bi. In the model we propose, the upfront specification of the interaction logic of a company can be limited to partially specified processes and basic interaction rules. Specific information is then gathered from the observation of actual instances of business interaction, and used to refine and extend the initial model. In addition to the enforcement of explicit business requirement, the goal is to capture and leverage implicit operational knowledge. In the following sections, we present an overview of the methodology we are currently experimenting with for the inference of complex processes from business interaction flows. For our initial experiments, we focus on business messages compliant with the RosettaNet standard [4]

Аналітичні інструменти ERP-систем у моніторингу діяльності суб’єкта господарювання

З метою досягнення високих результатів з оптимальними прогнозованими витратами, сучасне бізнес-середовище вимагає від менеджменту ефективного прийняття управлінських рішень, що передбачає постійний моніторинг цільових показників-індикаторів, важливих для оцінювання напрямів розвитку підприємства. Об’єктом дослідження науковців є теоретичні та практичні аспекти функціонування ERP-систем. Але слід зауважити, що поза увагою залишаються рекомендації з використання ERP-систем для кінцевих користувачів, недостатньо вивчені аналітичні інструменти, які існують у цих системах, особливості їх застосування. На сьогодні на ринку програмного забезпечення для управління бізнесом активно використовуються системи комплексної автоматизації управління підприємством – ERP-системи. Такі системи дозволяють розрахувати короткотермінові (місяці) та довготермінові (роки) показники розвитку підприємства, а також порівняти прогнозні значення з фактичними. Функціональність таких ІС відповідає стандартам ERP, MRP, CRM, SCM. Запровадження ERP-системи змінює систему менеджменту та організацію роботи персоналу підприємства, що виражається у застосуванні інноваційних навичок реєстрації, опрацювання, узагальнення та аналізу даних. Виконання в ERP-системі бухгалтерами та топ-менеджерами своїх функцій передбачає застосування ними професійних суджень відповідно до завдань, які зумовлені зростанням ефективності діяльності підприємства. Вони відповідають за обрання складу показників, які повинні аналізуватись, формування стратегії досягнення цільових показників, вибір варіанта аналізу тощо. Правильність постановки цілей розвитку підприємства, обрання показників-індикаторів результатів діяльності та методики їх моніторингу має важливе значення для системи менеджменту суб’єкта господарювання, підвищує ефективність прийнятих рішень. Для оптимізації цього процесу ми пропонуємо модель цільових показників та їх моніторингу в ERP-системі, яка дозволить оптимізувати прийняття управлінських рішень, підвищить їх оперативність та ефективність. Запропонована модель цільових показників та їх моніторингу у ERP-системі є інструментом налагодження програми, зумовлює застосування управлінцями нових навичок з оцінки, моніторингу результатів діяльності та прийняття оперативних рішень з управління бізнесом, охоплює ключові категорії цілей розвитку бізнесу, залучає до оцінювання результатів діяльності та участі в процесах управління відповідальних осіб усіх підрозділів суб’єкта господарювання, що узгоджується з результатами попередніх досліджень.In order to achieve high results with optimal projected costs, the modern business environment requires of management the effective managerial decision-making, which involves continuous monitoring of goal indicators important to assess the direction of enterprise development. The object of the scientists research is theoretical and practical aspects of ERP-systems functioning, but it should be noted that recommendations on ERP application for end-users still remain out of consideration, analytical tools existing in these systems and the peculiarities of their application are not studied sufficiently. Today, the systems of complex enterprise management automation – ERP-systems are widely used in the market of software for business management. Such systems make it possible to calculate the short-term (months) and long-term (years) indicators of enterprise development, as well as compare projected values with actual ones. The functionality of such IS meets the standards of ERP, MRP, CRM, and SCM. The introduction of ERP-system changes the management system and the enterprise staff activity management proved by the application of innovative skills of registration, processing, synthesis and analysis of data. The execution of their functions by accountants and top managers in ERP-system involves the use of their professional judgments in accordance with the tasks determined by the increase of the enterprise activity efficiency. They are responsible for the selection of the indicators composition to be analyzed, the formation of strategy for goals achieving, the choice of analysis option, etc. The correctness of setting goals for enterprise development, the selection of the activity results indicators and the methodology for their monitoring is of great importance for business entity management system and increases the efficiency of decision-making. In order to optimize this process, we propose the model of goal indicators and their monitoring in ERP-system making it possible to optimize the management decision-making, increase their efficiency and productivity. The proposed model of goal indicators and their monitoring in ERP-system is the tool for program setting enabling the managers to use new skills for evaluation, monitoring the activity results and making immediate business managerial decisions, to cover the key categories of business development goals, and to engage the responsible individuals of all entity departments into evaluation of the activity results and participation of the management processes which is in conformity with the results of previous investigations

Additive model of Larix sp. forest stand biomass sensitive to temperature and precipitation variables in Eurasia

The first attempt of modeling changes in additive component composition of biomass of Larix sp. communities on the Trans-Eurasian hydrothermal gradients based on regional peculiarities of age and morphology of the forests is attempted. The increase of all biomass components of the tree layer with increasing temperature at the constant precipitation and its decrease with increasing precipitation at the constant temperature is established. The positive relationship of the understory biomass with the temperature in the areas of insufficient moisture as the transition to moisture-rich areas is replaced by the opposite one. The development of such models for basic forest-forming species in Eurasia will give possibility to predict any changes in the biological productivity of forest cover of Eurasia in relation to climate change. © 2019 IOP Publishing Ltd. All rights reserved

Attack-Surface Metrics, OSSTMM and Common Criteria Based Approach to “Composable Security” in Complex Systems

In recent studies on Complex Systems and Systems-of-Systems theory, a huge effort has been put to cope with behavioral problems, i.e. the possibility of controlling a desired overall or end-to-end behavior by acting on the individual elements that constitute the system itself. This problem is particularly important in the “SMART” environments, where the huge number of devices, their significant computational capabilities as well as their tight interconnection produce a complex architecture for which it is difficult to predict (and control) a desired behavior; furthermore, if the scenario is allowed to dynamically evolve through the modification of both topology and subsystems composition, then the control problem becomes a real challenge. In this perspective, the purpose of this paper is to cope with a specific class of control problems in complex systems, the “composability of security functionalities”, recently introduced by the European Funded research through the pSHIELD and nSHIELD projects (ARTEMIS-JU programme). In a nutshell, the objective of this research is to define a control framework that, given a target security level for a specific application scenario, is able to i) discover the system elements, ii) quantify the security level of each element as well as its contribution to the security of the overall system, and iii) compute the control action to be applied on such elements to reach the security target. The main innovations proposed by the authors are: i) the definition of a comprehensive methodology to quantify the security of a generic system independently from the technology and the environment and ii) the integration of the derived metrics into a closed-loop scheme that allows real-time control of the system. The solution described in this work moves from the proof-of-concepts performed in the early phase of the pSHIELD research and enrich es it through an innovative metric with a sound foundation, able to potentially cope with any kind of pplication scenarios (railways, automotive, manufacturing, ...)

Robust 24 Hours ahead Forecast in a Microgrid: A Real Case Study

Forecasting the power production from renewable energy sources (RESs) has become fundamental in microgrid applications to optimize scheduling and dispatching of the available assets. In this article, a methodology to provide the 24 h ahead Photovoltaic (PV) power forecast based on a Physical Hybrid Artificial Neural Network (PHANN) for microgrids is presented. The goal of this paper is to provide a robust methodology to forecast 24 h in advance the PV power production in a microgrid, addressing the specific criticalities of this environment. The proposed approach has to validate measured data properly, through an effective algorithm and further refine the power forecast when newer data are available. The procedure is fully implemented in a facility of the Multi-Good Microgrid Laboratory (MG(Lab)(2)) of the Politecnico di Milano, Milan, Italy, where new Energy Management Systems (EMSs) are studied. Reported results validate the proposed approach as a robust and accurate procedure for microgrid applications