35 research outputs found
Π’Π΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ½ΡΠΉ Π΄ΡΠ΅ΠΉΡ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΡΡ ΡΠ°ΡΡΠΎΡ ΠΌΠΈΠΊΡΠΎΠΌΠ΅Ρ Π°Π½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π³ΠΈΡΠΎΡΠΊΠΎΠΏΠ°
Π¦Π΅Π»ΡΡ ΡΠ°Π±ΠΎΡΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ Π²Π»ΠΈΡΠ½ΠΈΡΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ½ΠΎΠ³ΠΎ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ Π½Π° ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΡΠ΅ ΡΠ°ΡΡΠΎΡΡ ΠΌΠΈΠΊΡΠΎΠΌΠ΅Ρ
Π°Π½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π³ΠΈΡΠΎΡΠΊΠΎΠΏΠ°, ΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΡΠΉ ΡΠ»Π΅ΠΌΠ΅Π½Ρ ΠΊΠΎΡΠΎΡΠΎΠ³ΠΎ ΡΠ°ΡΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ Π½Π° ΠΊΡΠ΅ΠΌΠ½ΠΈΠ΅Π²ΠΎΠΉ ΠΏΠ»Π°ΡΡΠΈΠ½Π΅ Ρ ΠΊΡΠΈΡΡΠ°Π»Π»ΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΡΠΈΠ΅Π½ΡΠ°ΡΠΈΠ΅ΠΉ (111), ΠΈΠΌΠ΅ΡΡΠ΅ΠΉ ΠΈΠ·ΠΎΡΡΠΎΠΏΠΈΡ ΠΌΠ΅Ρ
Π°Π½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ½ΡΡ
ΡΠ²ΠΎΠΉΡΡΠ² Π²ΠΎ Π²ΡΠ΅Ρ
Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡΡ
. ΠΠ΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡ ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ ΠΌΠ΅ΡΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ, Π·Π°Π²ΠΈΡΡΡΠΈΡ
ΠΎΡ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΡΡ
ΡΠ°ΡΡΠΎΡ Π²ΠΎ Π²ΡΠ΅ΠΌ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ½ΠΎΠΌ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π΅, ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π°Π΅Ρ Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ Π΄Π°Π½Π½ΠΎΠΉ ΡΠ΅ΠΌΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ. Π Ρ
ΠΎΠ΄Π΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π² ΡΡΠ΅Π΄Π΅ ANSYS ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ½ΠΎ-ΠΌΠΎΠ΄Π°Π»ΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΌΠΎΠ΄Π΅Π»ΠΈ, ΠΈΠΌΠΈΡΠΈΡΡΡΡΠ΅ΠΉ ΠΏΠ΅ΡΠ²ΠΈΡΠ½ΡΠ΅ ΠΊΠΎΠ»Π΅Π±Π°Π½ΠΈΡ ΠΌΠΈΠΊΡΠΎΠΌΠ΅Ρ
Π°Π½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π³ΠΈΡΠΎΡΠΊΠΎΠΏΠ°. ΠΠΎΠ΄Π΅Π»Ρ ΠΌΠΈΠΊΡΠΎΡΠ΅Π·ΠΎΠ½Π°ΡΠΎΡΠ°, Π²ΡΠ±ΡΠ°Π½Π½Π°Ρ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΈΠΌΠΈΡΠ°ΡΠΎΡΠ° ΠΏΠ΅ΡΠ²ΠΈΡΠ½ΡΡ
ΠΊΠΎΠ»Π΅Π±Π°Π½ΠΈΠΉ ΠΌΠΈΠΊΡΠΎΠΌΠ΅Ρ
Π°Π½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π³ΠΈΡΠΎΡΠΊΠΎΠΏΠ°, Π°Π΄Π΅ΠΊΠ²Π°ΡΠ½ΠΎ ΠΎΡΡΠ°ΠΆΠ°Π΅Ρ Ρ
Π°ΡΠ°ΠΊΡΠ΅Ρ ΠΊΠΎΠ»Π΅Π±Π°Π½ΠΈΠΉ ΠΌΠ°ΡΡΡ ΠΏΠΎ ΠΎΡΠΈ ΠΏΠ΅ΡΠ²ΠΈΡΠ½ΡΡ
ΠΊΠΎΠ»Π΅Π±Π°Π½ΠΈΠΉ. Π ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ ΠΏΠΎΠ»ΡΡΠ΅Π½Ρ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ½ΡΠ΅ Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΡΡ
ΡΠ°ΡΡΠΎΡ ΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ½ΠΎ-Π½Π΅Π·Π°Π²ΠΈΡΠΈΠΌΡΠ΅ ΠΌΠΎΠ΄Ρ ΠΊΠΎΠ»Π΅Π±Π°Π½ΠΈΠΉ Π΄Π»Ρ ΠΎΡΡΠΈΠ»Π»ΡΡΠΎΡΠ°, Π²ΡΠΏΠΎΠ»Π½Π΅Π½Π½ΠΎΠ³ΠΎ Π½Π° ΠΊΡΠ΅ΠΌΠ½ΠΈΠ΅Π²ΠΎΠΉ ΠΏΠ»Π°ΡΡΠΈΠ½Π΅ Ρ ΠΊΡΠΈΡΡΠ°Π»Π»ΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΡΠΈΠ΅Π½ΡΠ°ΡΠΈΠ΅ΠΉ (111)
Demand, supply, and restraint: Determinants of domestic water conflict and cooperation
This article focuses on one of the most likely empirical manifestations of the "environment-conflict" claim by examining how demand for and supply of water may lead to domestic water conflict. It also studies what factors may reduce the risk of conflict and, hence, induce cooperation. To this end, the article advances several theory-based arguments about the determinants of water conflict and cooperation, and then analyzes time-series cross-section data for 35 Mediterranean, Middle Eastern, and Sahel countries between 1997 and 2009. The empirical results show that demand-side drivers, such as population pressure, agricultural productivity, and economic development are likely to have a stronger impact on water conflict risk than supply-side factors, represented by climate variability. The analysis also reveals that violent water conflicts are extremely rare, and that factors conducive to restraint, such as stable political conditions, may stimulate cooperation. Overall, these results suggest that the joint analysis of demand, supply, and restraint improves our ability to account for domestic water-related conflict and cooperation
Das Wasser im NahostfriedensprozeΓ - Konfliktstrukturen und bisherige Vertragswerke unter wasserpolitischer Perspektive
ECOLOGICAL AND ECONOMIC CONFLICTS: AGRICULTURAL USE OR CULTIVATION BIOMASS SECOND GENERATION
Convolutive Blind Signal Separation Spatial Effectiveness in Speech Intelligibility Improvement
Blind signal separation is one of the latest methods to improve the signal to noise ratio. The main objective of blind source separation is the transformation of mixtures of recorded signals to obtain each source signal at the output of the procedure, assuming that they are statistically independent. For acoustic signals it can be concluded that the correct separation is possible only if the source signals are spatially separated. That finding suggests analogies with the classical spatial filtering (beamforming). In this study we analyzed an effect of the angular separation of two source signals (i.e. speech and babble noise) to improve speech intelligibility. For this purpose, we chose the blind source separation algorithm based on the convolutive separation, based on second order statistics only. As a system of sensors a dummy head was used (one microphone inside each ear canal), which simulated two hearing aids of a hearing impaired person. The speech reception threshold, before and after the blind source separation was determined. The results have shown significant improvement in speech intelligibility after applying blind source separation (speach reception threshold fell even more than a dozen dB) in cases where the source signals were angularly separated. However, in cases where the source signals were coming from the same directions, the improvement was not observed. Moreover, the effectiveness of the blind source separation, to a large extent, depended on the relative positions of signal sources in space
Estimating the population exposed to transportation noise: a case study on PoznaΕ City
European Union Directive 2002/49/EC relating to the assessment and management of environmental noise (named as END) in article 6 paragraph 3 states that βharmful effects may be assessed by means of dose-effect relations referred to in ANNEX IIIβ. In this still unfinished ANNEX III there are formulas which present how to calculate the number of people affected by a given noise. The dose-effect relations have been recently presented in WHO document βEnvironmental Noise Guidelines for the European Regionβ. These Guidelines allow to predict the percentage of people who will be affected by a specific kind of noise. E.g. it is shown how to calculate the percentage of highly annoyed people for a given value of noise index, Lden. In our paper we propose how to calculate the total number of people affected by noise in their living conditions and discuss the implementation of methods recommended in ANNEX III in Poland