OALib Journal期刊

ISSN: 2333-9721



匹配条件: “Ngoie Mwana Nsapu Adelard” ,找到相关结果约12条。
Early Motherhood at the Hospital of Gecamines Kipushi: Prognosis and Profile of the Newborn  [PDF]
Ngoie Mwana Nsapu Adelard, Ngomb Kazad Aline, Mwinkeu Kasongo Narcisse
Open Access Library Journal (OALib Journal) , 2018, DOI: 10.4236/oalib.1104356
The present transversal descriptive survey aims to determine the prognosis, the frequency and seeks to describe the profile of the newborn babies from the early motherhood. It was conducted on 66 new babies from 60 mothers. Early motherhood concerned the single young ladies at 65%. They developed urogenital infections at 38.3%. Their socio-economic conditions were unfavorable at 68.3%. Concerning vital prognosis of the newborn children, from early motherhood, they noticed neonatal mortality estimated at 7.6%.
Estimating CO2 Sequestration by Forests in Oita Prefecture, Japan, by Combining LANDSAT ETM+ and ALOS Satellite Remote Sensing Data
Kazadi Sanga-Ngoie,Kotaro Iizuka,Shoko Kobayashi
Remote Sensing , 2012, DOI: 10.3390/rs4113544
Abstract: CO2 sequestration of the forests in Oita Prefecture, Japan, was estimated using satellite remote sensing data. First, hybrid classification of the optical LANDSAT ETM+ data was performed using GIS to produce a detailed land cover map. CO2 sequestration for each forest type was calculated using the sequestration rates per unit area multiplied by the forest areas obtained from the land cover map This results in 3.57 MtCO2/yr for coniferous, 0.77 MtCO2/yr for deciduous broadleaf, and 2.25 MtCO2/yr for evergreen broadleaf, equivalent to a total of 6.60 MtCO2/yr for all the forest covers in Oita. Then, two different methodologies were used to improve these estimates by considering tree ages: the Normalized Difference Vegetation Index (NDVI) and the stem volume methods. Calculation using the NDVI method shows the limitation of this method in providing detailed estimations for trees older than 15 years, because of NDVI saturation beyond this age. In the stem volume method, tree ages were deduced from stem volume values obtained by using PALSAR backscattering data. Sequestration based on tree age forest subclasses yields 2.96 MtCO2/yr (coniferous) and 0.31 MtCO2/yr (deciduous broadleaf forests). These results show the importance of using not only detailed forest types, but also detailed tree age information for more realistic CO2 sequestration estimates. In so doing, overestimation of the sequestration capacity of forests could be avoided, and the information on the status and location of forest resources could be improved, thereby leading to sounder decision making in sustainable management of forest resources.
Application of InSAR and GIS Techniques to Ground Subsidence Assessment in the Nobi Plain, Central Japan
Minxue Zheng,Kaoru Fukuyama,Kazadi Sanga-Ngoie
Sensors , 2014, DOI: 10.3390/s140100492
Abstract: Spatial variation and temporal changes in ground subsidence over the Nobi Plain, Central Japan, are assessed using GIS techniques and ground level measurements data taken over this area since the 1970s. Notwithstanding the general slowing trend observed in ground subsidence over the plains, we have detected ground rise at some locations, more likely due to the ground expansion because of recovering groundwater levels and the tilting of the Nobi land mass. The problem of non-availability of upper-air meteorological information, especially the 3-dimensional water vapor distribution, during the JERS-1 observational period (1992–1998) was solved by applying the AWC (analog weather charts) method onto the high-precision GPV-MSM (Grid Point Value of Meso-Scale Model) water-vapor data to find the latter’s matching meteorological data. From the selected JERS-1 interferometry pair and the matching GPV-MSM meteorological data, the atmospheric path delay generated by water vapor inhomogeneity was then quantitatively evaluated. A highly uniform spatial distribution of the atmospheric delay, with a maximum deviation of approximately 38 mm in its horizontal distribution was found over the Plain. This confirms the effectiveness of using GPV-MSM data for SAR differential interferometric analysis, and sheds thus some new light on the possibility of improving InSAR analysis results for land subsidence applications.
Inventory and Regularity of Annals Publications of Lubumbashi Higher Institute for Statistics (Dr. Congo) from 1990 to 2015  [PDF]
Khang Ndipa Sabine, Abelelau Bokako Sosthene, Tshari Ngoie Hortance
Open Access Library Journal (OALib Journal) , 2017, DOI: 10.4236/oalib.1103640
Within the scientific community, information essentially passes through scientific publications. These publications now occupy a prominent place in the search. They constitute the very purpose of scientific research as a researcher is usually assessed by its publications. The quality of scientific research combines punctuality and continuity over time. This reflection analyzes this question through the annals of the Higher Institute of Statistics of Lubumbashi. This study aims an inventory of scientific production and evaluates the legality of publications in the annals of this institution. We used the literature review. Through this review, we identified scientific publications in the various annals of the Stattistics Higher Institute of Lubumbash from 1990 to 2015. It appears from this study that an irregularity in the publication of the Annals was observed. 92 articles were published in the Annals of which 54 (58.7%) by internal researchers in this institution and 38 (41.3%) by external researchers. Three most productive sectors by internal authors namely the economic, statistical and computer were recorded. A resumption of publications occurred around the years 1998 and 1999 followed by a disappearance of a period of more than four years. The valorisation of the research activity in this university institution inevitably passes through the publication of the articles by the researchers of this institution and the regularity of the publication of their magazine.
Weather data analysis based on typical weather sequence analysis. Application: energy building simulation
Mathieu David,Laetitia Adelard,Francois Garde,Harry Boyer
Physics , 2014,
Abstract: In building studies dealing about energy efficiency and comfort, simulation software need relevant weather files with optimal time steps. Few tools generate extreme and mean values of simultaneous hourly data including correlation between the climatic parameters. This paper presents the C++ Runeole software based on typical weather sequences analysis. It runs an analysis process of a stochastic continuous multivariable phenomenon with frequencies properties applied to a climatic database. The database analysis associates basic statistics, PCA (Principal Component Analysis) and automatic classifications. Different ways of applying these methods will be presented. All the results are stored in the Runeole internal database that allows an easy selection of weather sequences. The extreme sequences are used for system and building sizing and the mean sequences are used for the determination of the annual cooling loads as proposed by Audrier-Cros (Audrier-Cros, 1984). This weather analysis was tested with the database of the French weather forecast utility Meteo France. Reunion Island experiences a lot of different micro-climates due to the high altitude (3069m), specific relief, and geographic situation (Tropic of Capricorn). Furthermore Reunion Island has the densest meteorological network in France and is an ideal place to validate the methodology with different climates. To test the efficiency of such analysis, simulations using the resulting weather sequences were carried out with the building simulation software CODYRUN. This analysis is the first step of a more global research concerning weather data generation. Future work will permit whole hourly typical meteorological year generation using neural networks.
Elaboration of a new tool for weather data sequences generation
Laetitia Adelard,Thierry Alex Mara,Harry Boyer,Jean Claude Gatina
Computer Science , 2012,
Abstract: This paper deals about the presentation of a new software RUNEOLE used to provide weather data in buildings physics. RUNEOLE associates three modules leading to the description, the modelling and the generation of weather data. The first module is dedicated to the description of each climatic variable included in the database. Graphic representation is possible (with histograms for example). Mathematical tools used to compare statistical distributions, determine daily characteristic evolutions, find typical days, and the correlations between the different climatic variables have been elaborated in the second module. Artificial weather datafiles adapted to different simulation codes are available at the issue of the third module. This tool can then be used in HVAC system evaluation, or in the study of thermal comfort. The studied buildings can then be tested under different thermal, aeraulic, and radiative solicitations, leading to a best understanding of their behaviour for example in humid climates.
Building ventilation: A pressure airflow model computer generation and elements of validation
H. Boyer,A. P. Lauret,L. Adelard,T. A. Mara
Computer Science , 2012,
Abstract: The calculation of airflows is of great importance for detailed building thermal simulation computer codes, these airflows most frequently constituting an important thermal coupling between the building and the outside on one hand, and the different thermal zones on the other. The driving effects of air movement, which are the wind and the thermal buoyancy, are briefly outlined and we look closely at their coupling in the case of buildings, by exploring the difficulties associated with large openings. Some numerical problems tied to the resolving of the non-linear system established are also covered. Part of a detailled simulation software (CODYRUN), the numerical implementation of this airflow model is explained, insisting on data organization and processing allowing the calculation of the airflows. Comparisons are then made between the model results and in one hand analytical expressions and in another and experimental measurements in case of a collective dwelling.
Detailed weather data generator for building simulations
L. Adelard,H. Boyer,F. Garde,J. -C. Gatina
Computer Science , 2012,
Abstract: Thermal buildings simulation softwares need meteorological files in thermal comfort, energetic evaluation studies. Few tools can make significant meteorological data available such as generated typical year, representative days, or artificial meteorological database. This paper deals about the presentation of a new software, RUNEOLE, used to provide weather data in buildings applications with a method adapted to all kind of climates. RUNEOLE associates three modules of description, modelling and generation of weather data. The statistical description of an existing meteorological database makes typical representative days available and leads to the creation of model libraries. The generation module leads to the generation of non existing sequences. This software tends to be usable for the searchers and designers, by means of interactivity, facilitated use and easy communication. The conceptual basis of this tool will be exposed and we'll propose two examples of applications in building physics for tropical humid climates.
Characteristics of Decomposition Powers of L-Band Multi-Polarimetric SAR in Assessing Tree Growth of Industrial Plantation Forests in the Tropics
Shoko Kobayashi,Yoshiharu Omura,Kazadi Sanga-Ngoie,Ragil Widyorini,Shuichi Kawai,Bambang Supriadi,Yoshio Yamaguchi
Remote Sensing , 2012, DOI: 10.3390/rs4103058
Abstract: A decomposition scheme was applied to ALOS/PALSAR data obtained from a fast-growing tree plantation in Sumatra, Indonesia to extract tree stem information and then estimate the forest stand volume. The scattering power decomposition of the polarimetric SAR data was performed both with and without a rotation matrix and compared to the following field-measured forest biometric parameters: tree diameter, tree height and stand volume. The analytical results involving the rotation matrix correlated better than those without the rotation matrix even for natural scattering surfaces within the forests. Our primary finding was that all of the decomposition powers from the rotated matrix correlated significantly to the forest biometric parameters when divided by the total power. The surface scattering ratio of the total power markedly decreased with the forest growth, whereas the canopy and double-bounce scattering ratios increased. The observations of the decomposition powers were consistent with the tree growth characteristics. Consequently, we found a significant logarithmic relationship between the decomposition powers and the forest biometric parameters that can potentially be used to estimate the forest stand volume.
Weather sequences for predicting HVAC system behaviour in residential units located in tropical climates
Laetitia Adelard,Fran?ois Garde,Florence Pignolet-Tardan,Harry Boyer,Jean Claude Gatina
Computer Science , 2012,
Abstract: The purpose of our research deals with the description of a methodology for the definition of specific weather sequences and their influence on the energy needs of HVAC system. We'll apply the method on the tropical Reunion Island. The methodological approach based on a detailed analysis of weather sequences leads to a classification of climatic situations that can be applied to the site. These sequences have been used to simulate buildings and air handling systems thanks to a thermal simulation code, CODYRUN. Results bring to the light how necessary it is to have coherent meteorological data for this kind of simulation.

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