ABSTRACT:
An implantable wireless system with on-chip antenna for cardiovascular pressure monitor is studied. The implantable device is operated in a batteryless manner, powered by an external radio frequency (RF) power source. The received RF power level can be sensed and wirelessly transmitted along with blood pressure signal for feedback control of the external RF power. The integrated electronic system, consisting of a capacitance-to-voltage converter, an adaptive RF powering system, an RF transmitter and digital control circuitry, is simulated using a TSMC 0.18 µm CMOS technology. The implanted RF transmitter circuit is combined with a low power voltage-controlled oscillator resonating at 5.8 GHz and a power amplifier. For the design, the simulation model is setup using ADS and HFSS software. The dimension of the antenna is 1 × 0.6 × 4.8 mm³ with a 1 × 0.6 mm² on-chip circuit which is small enough to place in human carotid artery.

ABSTRACT:
Currently four global satellite navigation systems are under modernization and development: The US American GPS III, the Russian GLONASS, the European Galileo and Chinese BeiDou systems.

In the paper the interdisciplinary contributions of different scientific areas to GNSS are assessed. It is outlined that GNSS is not only a technical system but also a basic element of mobile computing high-tech market. At the same time a GNSS has the role of a force enabler in security related applications. Technology, market and security policies are interdependent and are sometimes in a relationship of tension.

The goal of the paper is to describe the overall systemics of GNSS from a holistic point of view. The paper also addresses the human factor side of GNSS. The requirements on human resources in GNSS are at least two-fold: On the one hand very specialized engineers are needed; on the other hand the generalists are necessary who are able to understand the system aspects. Decision makers in institutions and industry need special knowledge in technologies, economics and political strategies. Is the current university system able to educate and prepare such generalists? Are specialized master courses for GNSS needed? Are external training courses necessary?

ABSTRACT:
This paper is drawn from a project aimed at enhancing the quality of instructional practice and improving studentlearning outcomes in classes across an urban university located in the southern region of the United States. The strategies, employed by the project leader, are discussed in detail as framed by a new problem-solving leadership design called the Alloy Improvement Model (AIM). Data collected at the end of the second full year and reported in this paper indicated all project goals were met and that the utilization of the AIM was central to project success.

ABSTRACT:
Learning SQL is a common problem for many Computer Science (CS) students, the steps involved are quite different to those mastered when learning procedural or object-oriented programming languages. The introduction of commercial products that include shortcuts into the learning environment can initially appear to benefit the student, however, transferring these skills to a textual environment can be difficult for many students. Computer Science students are required to build textual SQL queries because the demands of complex queries can quickly out grow the capabilities of graphical query builders available in many software packages. SQL in Steps (SiS) is a graphical user interface centred around the textual translation of a query; this combination of a GUI and a clear representation of its textual meaning has the potential to improve the way in which users gain an understanding of SQL. SiS allows for an incremental and evolutionary development of queries by enabling students to build queries step by step until their goal is reached. A planned evaluation of SiS hopes to quantify the extent to which the introduction of such a user interface into the learning environment can improve the students’ understanding of the language.

ABSTRACT:
In this paper we performed a brief survey of the recent literature on statistical analysis of networks. For instance, we reviewed contributions dealing with statistical properties of complex networks like the degree distribution, the clustering coefficient, and other statistical analysis techniques such as resampling, bootstrapping, randomization and so forth. We see that those statistical techniques are suitable to investigate so-called non-deterministic networks. That means, we refer to networks that cannot be inferred deterministically as in graph theory. Therefore we believe that these approaches complement classical ones meaningfully and, hence, we continue doing research in this field.

ABSTRACT:
We consider how processes of dynamical, multiple, overlapping, interfering, correlated interactions establishing collective systems are analytically intractable. The meta-structures project has the purpose of using mesoscopic (rather than macroscopic or statistical) representations to allow interventions which can suitably modify various properties acquired by emergent collective behaviours. We consider mesoscopic variables and mesoscopic properties as suitable for representing such systems of interactions. Properties of collective systems, such as coherence(s), are considered to be suitably represented by mesoscopic dynamics. Finally, mesoscopic interventions are considered as suitable for acting upon collective systems.

ABSTRACT:
This research develops a system to check standards and specifications automatically for geometric railway projects, aiming to avoid high construction and operating costs, noncompliance with design requirements, and even fatal accidents. This study is important due to the increasing quality requirements for the design projects.

The methodology used consists of five stages: literature review on Code Checking and Building Information Modeling with the intention to search for the theoretical and methodological development of research grants; literature review on the specifications and requirements of geometric railway projects; development of a code checking system using the software Excel; application of the system developed to an existing railroad; analysis of the results found.

ABSTRACT:
Complexity and uncertainty have evolved as important challenges for entrepreneurship in many industries. Value Delivery Architecture Modeling (VDAM) is a proposal for a new approach for business modeling to conquer these challenges. In addition to the creation of transparency and clarity, our approach supports the operationalization of business model ideas. VDAM is based on the combination of a new business modeling language called VDML, ontology building, and the implementation of a level of cross-company abstraction. The application of our new approach in the area of electric mobility in Germany, an industry sector with high levels of uncertainty and a lack of common understanding, shows several promising results: VDAM enables the development of an unambiguous and unbiased view on value creation. Additionally it allows for several applications leading to a more informed decision towards the implementation of new business models.

ABSTRACT:
A multitude of commercial applications rely on Database Management Systems (DBMS) that provide organized collection of data; for example, modelling the availability of airline flights and seating in a way that supports reservation and sales of air transportation. DBMSs are specially designed software applications that interact with other applications and users to capture and analyze data. A general-purpose DBMS is a software system designed to allow the definition, creation, querying, update, and administration of databases. For the purposes of this paper, we assume that the database is front-ended by web services for database access and query. This paper discusses the current approach to database access and privilege by web services. The paper then discusses the high-assurance paradigm called Enterprise Level Security. We the discuss changes that are required by a high-assurance end-to-end approach. The latter rely on a well-formed security paradigm for the enterprise.

ABSTRACT:
During the last decade the techniques and tools of cyber attacks have become more sophisticated, the distinctions between actors and threats have become blurred and attack prospects more worrying. The informational threat can hit any type of civilian or military controls, fixed or mobile infrastructures, putting them down or greatly reducing their service capabilities with direct and indirect physical / economic impacts from tactical or local scale to strategic / national and international level. It has been shown that broad spectrum protection investments and particularly poorly prioritized ones are not efficient as oftentimes they are limited in scope by other operational requirements. So it is simply not possible to protect each property from each threat. The cyberdefense must be rooted on intelligence based on prioritized Risk Management and not on standardized audits and practice of indolent regulations, written a priori, or the biased advice of fear monger solutions sellers. RM offers ultimately support for operational decisions and protection (mitigation), provided that we want to define the level of acceptable risk reduction /mitigation and that we formulate measurable performance targets to achieve .

ABSTRACT:
The paper addresses the problem of uncertainty reduction in estimation of future company performance, which is a result of wide range of enterprise’s intangible assets probable efficiency. To reduce this problem, the paper suggests to use quantum economy principles, i.e. implementation of Heisenberg principle to measure efficiency and potential of intangible assets of the company. It is proposed that for intangibles it is not possible to estimate both potential and efficiency at a certain time point. To provide a proof for these thesis, the data on resources potential and efficiency from mid-Russian companies was evaluated within deterministic approach, which did not allow to evaluate probability of achieving certain resource efficiency, and quantum approach, which allowed to estimate the central point around which the probable efficiency of resources in concentrated. Visualization of these approaches was performed by means of LabView software. It was proven that for tangible assets performance estimation a deterministic approach should be used; while for intangible assets the quantum approach allows better quality of future performance prediction. On the basis of these findings we proposed the holistic approach towards estimation of company resource efficiency in order to reduce uncertainty in modeling company performance.

ABSTRACT:
Analytic Hierarchy Process (AHP) is used in the selection of categories of non-parametric stochastic models for hydrological data generation and its formulation is based on pairwise comparisons of models. These models or techniques are obtained from a recent study initiated by the Water Research Commission of South Africa (WRC) and were compared predominantly based on their capability to extrapolate data beyond the range of historic hydrological data. The different categories of models involved in the selection process were: wavelet (A), reordering (B), K-nearest neighbor (C), kernel density (D) and bootstrap (E). In the AHP formulation, criteria for the selection of techniques are: “ability for data to preserve historic characteristics”, “ability to generate new hydrological data”, “scope of applicability”, “presence of negative data generated” and “user friendliness”. The pairwise comparisons performed through AHP showed that the overall order of selection (ranking) of models was D, C, A, B and C. The weights of these techniques were found to be 27.21%, 24.3 %, 22.15 %, 13.89 % and 11.80 % respectively. Hence, bootstrap category received the highest preference while nearest neighbor received the lowest preference when all selection criteria are taken into consideration.

ABSTRACT:
Stress has not been fully defined in terms of neuroscience. But, it might be possible to quantify it, like body temperature. The aim of this study was to develop a method to quantify stress, fear and anxiety that has not been accomplished. In the present study, we present a method to quantify them using the biomedical vital information, i.e., the timing of heartbeat. Here electrocardiograms of both animal models and humans were analyzed by modified detrended fluctuation analysis (mDFA), which calculates a scaling exponent (SI) from the heartbeat interval time series. The SI was able to numerically distinguish between normal and abnormal hearts. SI values varied with heart conditions, i.e., healthy basal or stressful conditions. This study suggests that mDFA has potential as a practical method for the construction of a device for health management.

ABSTRACT:
In recent, to overcome the monitoring area limits of fixed surveillance systems moving systems that utilize small UAVs have been studying. In this paper, we propose a moving surveillance system that is able to operate a real monitoring on the narrow or small area where buildings stand close together. Based on the experimental results about the pre-planned simulation path, we founded the proposed system shows some efficiency performances.