Bluetooth beacons are becoming increasingly popular for various applications such as marketing or indoor navigation. However, designing a proper beacon installation requires knowledge of the possible sources of interference in the target environment. While theoretically beacon signal strength should decay linearly with log distance, on-site measurements usually reveal that noise from objects such as Wi-Fi networks operating in the vicinity significantly alters the expected signal range. The paper presents a novel mobile Geographic Information System for measurement, mapping and local as well as online storage of Bluetooth beacon signal strength in semireal time. For the purpose of on-site geovisual analysis of the signal, the application integrates a dedicated interpolation algorithm optimized for low-power devices. The paper discusses the performance and quality of the mapping algorithms in several different test environments.

Mapping and analysis of air photos enabled preparation of a photogeological map of the Hansbreen-Sofiekammen region in a scale of 1 : 10,000. Glacial, slope and marine landforms and sediments were distinguished. Supplied with thermoluminescence and radiocarbon data, a morphogenetic evolution of the area could be presented. Four Pleistocene and Holocene glacier advances were distinguished. Seven raised marine beaches result from the Pleistocene and the Holocene uplift of the land.

This paper discussed the results of pilot magnetic investigations carried out at the foot of the Fugleberget mountain and in the Skå valley in the area of the morthwestern shores of the Hornsund Fiord. The investigations showed the large usefulness of the magnetic method in stratification of different rock types which occur within the metamorphic complex, and, in the case of magma intrusions, they found that dolerity dykes are characterized by high, uniform magnetization and very simple geometrical form.

Great ablation of the Werenskiold Glacier created the need of recording the changes particularly superficial ones, after melting of its icingsGround stereophotogrammetric photos done during the Polar Expedition of the Polish Academy of Sciences in 1983 enabled to prepare a map in the scale of 1:10,000 covering by its two sheets the whole glacier, a system of open crevasses inclusive. The map presents the actual state of the glacier and enables a comparison with earlier photogrammetric measurements carried out several times since 1957.

The Internet of Things (IoT) is an emerging technology that was conceived in 1999. The key components of the IoT are intelligent sensors, which represent objects of interest. The adjective ‘intelligent’ is used here in the information gathering sense, not the psychological sense. Some 30 billion sensors that ‘know’ the current status of objects they represent are already connected to the Internet. Various studies indicate that the number of installed sensors will reach 212 billion by 2020. Various scenarios of IoT projects show sensors being able to exchange data with the network as well as between themselves. In this contribution, we discuss the possibility of deploying the IoT in cartography for real-time mapping. A real-time map is prepared using data harvested through querying sensors representing geographical objects, and the concept of a virtual sensor for abstract objects, such as a land parcel, is presented. A virtual sensor may exist as a data record in the cloud. Sensors are identifi ed by an Internet Protocol address (IP address), which implies that geographical objects through their sensors would also have an IP address. This contribution is an updated version of a conference paper presented by the author during the International Federation of Surveyors 2014 Congress in Kuala Lumpur. The author hopes that the use of the IoT for real-time mapping will be considered by the mapmaking community.

The grid method is the most widely used technique for measurement-based noise assessment, and indeed is part of the ISO 1996-2 standard. Nevertheless it has certain disadvantages. The present work is an analysis of the grid method for evaluating noise, firstly in the city of Cáceres and, secondly in two other smaller towns. Using as reference a 200 metre grid study, a study was made of the effect of varying the size and form of the grid on the city’s overall noise value, the percentage of data found to lie above some reference thresholds, and the noise value assigned to a certain zone of the city. The ISO 1996 recommendations of the necessity of new sampling points and the method’s predictive capacity for these new measurements were also analyzed.

This paper presents an innovative method of technology mapping of the circuits in ALM appearing in FPGA devices by Intel. The essence of the idea is based on using triangle tables that are connected with different configurations of blocks. The innovation of the proposed method focuses on the possibility of choosing an appropriate configuration of an ALM block, which is connected with choosing an appropriate decomposition path. The effectiveness of the proposed technique of technology mapping is proved by experiments conducted on combinational and sequential circuits.

This paper addresses an interesting issue in name theory, specifically the relationship between toponyms and spatial representations, as well as the cultural differences manifesting themselves in connection with these. Studies have shown that the name model (a general knowledge of names) created based on the mental representation of names is partly language and culture dependent. Thus, the knowledge of the speaker on how reliably the toponyms correlate with the actual features of the landscape or whether they should only be considered as labels identifying an area is culturally determined. This, in turn, influences the extent to which name-users may rely on them in structuring space and in creating a cognitive map.

Field mapping and analysis of air photos enabled to prepare a photogeological map of Treskelen-Hyrnefjellet-Kruseryggen area in scale of 1:10,000. Slope, glacial and nival landforms and sediments, and ten raised marine beaches were distinguished. Morphogenetic evolution of the area is also presented, with discussion of probable glacier advances and land uplift during the Late Pleistocene and the Holocene.

Bunger Oasis (66° 15'S 100° 45'E), which lies in the deep interior of the Antarctic Continent, was the destination of the Polish Polar Expedition in 1978/1979. The area of Oasis which is free of ice, with a surface area of 1000 km2, its own hydrographic network and diversified relief of the terrain, has over the recent years been populated by live organisms, birds (cheek-bone and snow fulmar) and Wedell seal. In valleys and depressions of the terrain, traces of soil, mosses and lichens appear. The relief of the terrain of Oasis is undergoing continuous intensive change as a result of the natural effects of the Antarctic climate.

Image processing techniques (band rationing, color composite, Principal Component Analyses)

are widely used by many researchers to describe various mines and minerals. The primary aim of

this study is to use remote sensing data to identify iron deposits and gossans located in Kaman,

Kırşehir region in the central part of Anatolia, Turkey. Capability of image processing techniques is

proved to be highly useful to detect iron and gossan zones. Landsat ETM+ was used to create remote

sensing images with the purpose of enhancing iron and gossan detection by applying ArcMap image

processing techniques. The methods used for mapping iron and gossan area are 3/1 band rationing,

3/5 : 1/3 : 5/7 color composite, third PC and PC4 : PC3 : PC2 as RG B which obtained result from

Standard Principal Component Analysis and third PC which obtained result from Developed Selected

Principal Component Analyses (Crosta Technique), respectively. Iron-rich or gossan zones were mapped

through classification technique applied to obtained images. Iron and gossan content maps were

designed as final products. These data were confirmed by field observations. It was observed that iron

rich and gossan zones could be detected through remote sensing techniques to a great extent. This

study shows that remote sensing techniques offer significant advantages to detect iron rich and gossan

zones. It is necessary to confirm the iron deposites and gossan zones that have been detected for the

time being through field observations.

In the paper the author has described the visualization methods in acoustic flow fields and show how these methods may assist scientists to gain understanding of complex acoustic energy flow in real-life field. A graphical method will be presented to determine the real acoustic wave distribution in the flow field. Visualization of research results, which is unavailable by conventional acoustics metrology, may be shown in the form of intensity streamlines in space, as a shape of floating acoustic wave and intensity isosurface in three-dimensional space. In traditional acoustic metrology, the analysis of acoustic fields concerns only the distribution of pressure levels (scalar variable), however in a real acoustic field both the scalar (acoustic pressure) and vector (the acoustic particle velocity) effects are closely related. Only when the acoustic field is described by both the potential and kinetic energies, we may understand the mechanisms of propagation, diffraction and scattering of acoustic waves on obstacles, as a form of energy image. This attribute of intensity method can also validate the results of CFD/CAA numerical modeling which is very important in any industry acoustic investigations.

The Gaussian mixture model (GMM) method is popular and efficient for voice conversion (VC), but it is often subject to overfitting. In this paper, the principal component regression (PCR) method is adopted for the spectral mapping between source speech and target speech, and the numbers of principal components are adjusted properly to prevent the overfitting. Then, in order to better model the nonlinear relationships between the source speech and target speech, the kernel principal component regression (KPCR) method is also proposed. Moreover, a KPCR combined with GMM method is further proposed to improve the accuracy of conversion. In addition, the discontinuity and oversmoothing problems of the traditional GMM method are also addressed. On the one hand, in order to solve the discontinuity problem, the adaptive median filter is adopted to smooth the posterior probabilities. On the other hand, the two mixture components with higher posterior probabilities for each frame are chosen for VC to reduce the oversmoothing problem. Finally, the objective and subjective experiments are carried out, and the results demonstrate that the proposed approach shows greatly better performance than the GMM method. In the objective tests, the proposed method shows lower cepstral distances and higher identification rates than the GMM method. While in the subjective tests, the proposed method obtains higher scores of preference and perceptual quality.

This paper studies the assessment of sensitivity to land degradation of Deliblato sands (the northern part of Serbia), as a special nature reserve. Sandy soils of Deliblato sands are highly sensitive to degradation (given their fragility), while the system of land use is regulated according to the law, consisting of three zones under protection. Based on the MEDALUS approach and the characteristics of the study area, four main factors were considered for evaluation: soil, climate, vegetation and management. Several indicators affecting the quality of each factor were identified. Each indicator was quantified according to its quality and given a weighting of between 1.0 and 2.0. ArcGIS 9 was utilized to analyze and prepare the layers of quality maps, using the geometric mean to integrate the individual indicator map. In turn, the geometric mean of all four quality indices was used to generate sensitivity of land degradation status map. Results showed that 56.26% of the area is classified as critical; 43.18% as fragile; 0.55% as potentially affected and 0.01% as not affected by degradation. The values of vegetation quality index, expressed as coverage, diversity of vegetation functions and management policy during the protection regime are clearly represented through correlation coefficient (0.87 and 0.47).

The situation when groundwater considerably rises above the “normal” level, water intake, lowering of groundwater levels and other relevant practical tasks require the drainage facilities. The most effective techniques of numerical studies of the corresponding boundary problems at present time are methods of dealing with inverse boundary value problems (conformal and quasi-conformal mappings). As basis of this research we used the case of combining the fictitious domain methods with quasi-conformal mappings of the solution of nonlinear boundary value problems for the calculation of filtra-tion regimes in environments with free boundary areas (depression curves) and zones of “mountainous” areas. This paper reviews the stationary issue of flat-vertical stationary non-pressure liquid filtration to horizontal symmetric drainage. In the paper a practical methodology for solving boundary value problems on conformal mappings is suggested for the calculation of the filtration process in the horizontal symmetrical drainage. The idea of block iterative methods was used during the creation of the corresponding algorithm which is based on the alternating “freeze” of the anticipated conformance parameter, the internal and boundary connections of the curvilinear area. The results of the conducted numerical calculations confirmed the effectiveness of the suggested problem formulations and algorithms of their numerical solution and the possibility of their use in the modelling of nonlinear filtration processesoccurring in horizontal drainage systems, as well as in the design of drainage facilities and optimizing other hydrosystems. Therefore these results are of great importance.

During the last few years, the City of Bechar in Algeria has witnessed some extreme events, such as the great flood of the year 2008 in which an exceptional amount of rain was recorded with a flow rate of 830 m3∙s–1 (hwater = 4 m, b = 200 m); similar flooding also occurred in 2012 and 2014. The problem is that most of the City of Bechar has an urban sprawl that extends to the banks of Wadi Bechar, which represents a huge risk for the lives of the inhabitants of the region. The present work aims to assess the flood risk through flood hazard mapping. This method consists in determining the flow rates for the return periods of 25 years (Q25 = 388.6 m3∙s–1, hwater = 3.5 m, b = 200 m, Sspot = 55.35 ha), 50 years (Q50 = 478.3 m3∙s–1, hwater = 5 m, b = 200 m, Sspot = 66.48 ha) and 100 years (Q100 = 567.3 m3∙s–1, hwater = 7 m, b = 200 m, Sspot = 133 ha). For this, it is necessary to adjust the flow rates using Gumbel law along with some computer supports such as HEC-RAS, HEC- -GeoRAS and ArcGis for mapping the event. Finally, this work enables us to determine the zones exposed to risk of flooding and to classify them according to the flood water height.

Lean is one of the systematic approach to achieve higher value for organizations through

eliminate non-value-added activities. It is an integrated set of tools, techniques, and principles

designed to optimize cost, quality and delivery while improving safety. In Vietnam,

industry waste management and treatment has become serious issue. The aim of this research

is to present the effective of Lean application for industrial wastes collecting and

delivery improvement. Through a case study, this paper showed the way of Lean tools and

principles applied for wastes management and treatment such as Value Stream Mapping,

Pull system, Visual Control, and Andon to get benefit on both economic and environment.

In addition, the results introduced a good experience for enterprises in Vietnam and other

countries have similar conditions to Vietnam in cost saving and sustainable development in

waste management.