Thermal and mycological active protection of historic buildings on the example of the baroque residence of Polish kings in Wilanów

Protection of the external partitions of historic buildings is a broad topic due to the limited possibilities of interfering with the structure. Restoration restrictions on prevention in the mycological protection of historic buildings are so large that, from the broad list of possible protective measures, practically only the heating of the nodes and the control of air parameters are practically safe. The reason for restrictions is the lack of possibility of introducing architectural changes and the limited possibility of interfering into the structure of external partitions. A fast method that uses fluorescence was used for quantitative assessment of the mycelium development during the research and design work preceding the revalorization of the baroque seat of Polish kings in Wilanów (Warsaw). Mould mycelium were found mainly in the areas of increased humidity of the substrates. The use of an innovative method of local reheating of thermal bridge areas has been proposed there. Systems for reheating with halogen radiators using various infrared radiation (IR) bands were analyzed. There was also designed an anticondensation system consisting on electric heating cables. The proposed solutions prevent the development of mould mycelium to a satisfactory degree. Finally, the interior of the palace regained its beautiful appearance and healthy microclimate

Efficiency analysis of the Ionic 2 platform

The paper presents efficiency analysis of the Ionic 2 platform. Two test applications were analysed, one written in the native Android language, Java, and the second written using the Ionic 2 framework. The following criteria were selected for the framework analysis: rendering time of various media types, fluidity, resource consumption and application working while system load. The study has shown that the framework works much slower than an application written in native Android language

Thermal stability of lightweight frame partitions exposed to pulsed wind load

Much has been said about air infiltration, especially of ventilation losses and air quality. There is less information on heat losses through increased convection. This problem particularly concerns on one sided wind washing of the building envelope characterised with seeming airtightness of construction partitions. On the base of measurements undertaken in existing buildings constructed as lightweight timber structures filled with fiber materials it can be seen that air filtration also contributes to increased heat transfer through the building envelope. This paper presents the results of the research on the thermal stability of building partitions insulated with fiber materials and exposed to pulsed air filtration due to the wind load

Investigation of dynamic routing and spectrum allocation methods in elastic optical networks

The introduction of flexible frequency grids and advanced modulation techniques to optical transmission, namely an elastic optical network, requires new routing and spectrum allocation techniques. In this paper, we investigate dynamic two-step routing and spectrum allocation (RSA) methods for elastic optical networks. K-shortest path-based methods as well as spectrum allocation methods are analysed and discussed. Experimental verified of the investigated techniques is provided using simulation software. Based on the obtained experimental results, it can be seen that effectiveness of routing and spectrum allocation methods depend on network topologies. Moreover, performance of shortest path first methods improves considerably when a number of candidate paths increases in a topology with high nodal degree

TOWARDS DIGITAL TWIN-DRIVEN PERFORMANCE EVALUATION METHODOLOGY OF FMS

The paper presents a method of automated modelling and performance evaluation of concurrent production flows carried out in Flexible Manufacturing Systems. The method allows for quick assessment of various variants of such systems, considering their structure and the organization of production flow of possible ways of their implementation. Its essence is the conditions imposed on the designed model, limiting the space of possible variants of the production flow only to deadlock-free variants. The practical usefulness of the model implemented in the proposed method illustrates the example, which describes the simultaneous assessment of alternative variants of the flexible machining module's structure and the planned multi-assortment production. The ability of the method to focus on feasible solutions offers attractive perspectives for guiding the Digital Twin-like scenario in situations caused by the need to change the production flow

Does Historical VIX Term Structure Contain Valuable Information for Predicting VIX Futures?

We suggest that the term structure of VIX futures shows a clear pattern of dependence on the current level of VIX index. At the low levels of VIX (below 20), the term structure is highly upward sloping, while at the high VIX levels (over 30) it is strongly downward sloping. We use these features to predict future VIX futures prices more precisely. We begin by introducing some quantitative measures of volatility term structure (VTS) and volatility risk premium (VRP). We use them further to estimate the distance between the actual value and the fair (model) value of the VTS. We find that this distance has significant predictive power for volatility futures and index futures and we use this feature to design simple strategies to invest in VIX futures

Assessment of significance of features acquired from thyroid ultrasonograms in Hashimoto’s disease

Introduction: This paper concerns the analysis of the features obtained from thyroid ultrasound images in left and right transverse and longitudinal sections. In the image analysis, the thyroid lobe is treated as a texture for healthy subjects and patients with Hashimoto's disease. The applied methods of analysis and image processing were profiled to obtain 10 features of the image. Then, their significance in the classification was shown.Material: In this study, the examined group consisted of 29 healthy subjects aged 18 to 60 and 65 patients with Hashimoto's disease. For each subject, four ultrasound images were taken. They were all in transverse and longitudinal sections of the right and left lobe of the thyroid, which gave 376 images in total.Method: 10 different features obtained from each ultrasound image were suggested. The analyzed thyroid lobe was marked automatically or manually with a rectangular element.Results: The analysis of 10 features and the creation for each one of them their own decision tree configuration resulted in distinguishing 3 most significant features. The results of the quality of classification show accuracy above 94% for a non-trimmed decision tree

Automatic hidden bypasses in software-defined networks

As global internet traffic continues to increase, network operators face challenges on how to efficiently manage transmission in their networks. Even though attempts are underway to make optical networks automatic, the majority of actions related to traffic engineering are still performed manually by the administrators. In this paper we propose an Automatic Hidden Bypasses approach to enhance resource utilization in optical networks. Our solution uses the software-defined networking concept to automatically create or remove hidden bypasses which are not visible at the network layer. The mechanism increases throughput and reduces transmission delays