不確実性と時間変化を考慮した一般化ソフトウェア信頼性モデル : 理論的基礎と実証的応用

早大学位記番号:新7471早稲田大

Influenced Factor of Site Information on the Environmental Ground

The relationship between “Landform Geology Classification” factor of site information and environmental ground vibration caused by the public transportation in metropolitan was related, and considered

AN ALTERNATIVE METHOD OF REMOTE SENSING AND GIS FOR ASSESSING AGRICULTURAL DROUGHT IN UPPER BRANTAS WATERSHED, INDONESIA

In Indonesia, drought disasters have been reoccurring more frequently in recent years. The 1997-1998 El Nino had caused the worst drought to Indonesia in the last 50 years and disrupted rice production. Remote sensing (RS) and geographic informa-tion system (GIS) provide good capability to achieve spatially distributed information over wide area coverage and multi-temporal data to give sufficient information to anticipate those situations. The study aimed to develop a method using GIS combined with satellite data for monitoring and assessing agri-cultural drought in Brantas Watershed, Indonesia. The drought factors were determined based on expert knowledge analysis. Risk assessment method was developed using weighting which is determined based on significant factors of drought, i.e. rainfall pattern, irrigation status, ground water capacity, soil drainage, and land cover. Satellite data were used to analyze the characteristics of temporal variations of normalized difference vegetation index (NDVI) against drought factors. Weighting scores were determined by analyzing NDVI character using changes in NDVI and normal line diagram of each factor. The accuracy of drought risk map was evaluated by comparing drought risk level and NDVI value. The results indicated that expert knowledge analysis of the drought factors showed significant influence on NDVI value. Drought risk and drought status showed a high positive correlation with R2 = 0.85 for NOAA AVHRR, meaning that there is a significant correlation between the two (r = 0.92). The results of this study can be used to determine spatially location of drought-prone areas based on bio-physical factor causes. Therefore, it can be make recom-mendation for prevention of agricultural drought in the future

Web GIS in practice IV: publishing your health maps and connecting to remote WMS sources using the Open Source UMN MapServer and DM Solutions MapLab

Open Source Web GIS software systems have reached a stage of maturity, sophistication, robustness and stability, and usability and user friendliness rivalling that of commercial, proprietary GIS and Web GIS server products. The Open Source Web GIS community is also actively embracing OGC (Open Geospatial Consortium) standards, including WMS (Web Map Service). WMS enables the creation of Web maps that have layers coming from multiple different remote servers/sources. In this article we present one easy to implement Web GIS server solution that is based on the Open Source University of Minnesota (UMN) MapServer. By following the accompanying step-by-step tutorial instructions, interested readers running mainstream Microsoft(® )Windows machines and with no prior technical experience in Web GIS or Internet map servers will be able to publish their own health maps on the Web and add to those maps additional layers retrieved from remote WMS servers. The 'digital Asia' and 2004 Indian Ocean tsunami experiences in using free Open Source Web GIS software are also briefly described

On quantifying agricultural and water management practices from low spatial resolution RS data using genetic algorithms: A numerical study for mixed-pixel environment

In this paper, we present a genetic algorithm-based methodology to quantify agricultural and water management practices from remote sensing (RS) data in a mixed-pixel environment. First, we formulated a linear mixture model for low spatial resolution RS data where we considered three agricultural land uses as dominant inside the pixel—rainfed, irrigated with two, and three croppings a year; the mixing parameters we considered were the sowing dates, area fractions of agricultural land uses in the pixel, and their corresponding water management practices. Then, we carried out numerical experiments to evaluate the feasibility of the proposed approach. In the process, the mixing parameters were parameterized by data assimilation using evapotranspiration and leaf area index as conditioning criteria. The soil–water–atmosphere–plant system model SWAP was used to simulate the dynamics of these two biophysical variables in the pixel. The results of our numerical experiments showed that it is possible to derive some sub-pixel information from low spatial resolution data e.g. the existing agricultural and water management practices in a region, which are relevant for regional agricultural monitoring programs

Isoliquiritigenin: A Unique Component That Attenuates Adipose Tissue Inflammation and Fibrosis by Targeting the Innate Immune Sensors

Recent studies have suggested that pattern recognition receptors, including inflammasomes and TLRs, in the innate immune system recognize various kinds of endogenous ligands and have critical roles in initiating or promoting obesity‐associated chronic inflammation. These findings have provided new therapeutic strategies based on regulation of the innate immune system. With the rapid advancement of novel technologies and the increased research on natural products, many new plant‐derived extracts and active compounds have been identified to exhibit anti‐inflammatory effects. Isoliquiritigenin (ILG) is a flavonoid derived from Glycyrrhiza uralensis with a chalcone structure. We have reported that ILG inhibits NLRP3 inflammasome activation resulting in the improvement of diet‐induced adipose tissue inflammation and insulin resistance. Furthermore, we have also demonstrated that ILG improves diet‐induced fibrosis in adipose tissue by inhibiting TLR4‐ and Mincle‐induced expression of fibrosis‐related genes in obese adipose tissue and macrophages. Thus, ILG can suppress two important dysfunctions of obesity, adipose tissue inflammation and fibrosis by targeting innate immune sensors. Here we overview ILG as a potential therapeutic agent for the treatment of obesity‐associated diseases. We also summarize anti‐inflammatory actions of other constituents of licorice

Технологические решения для строительства разведочной вертикальной скважины глубиной 2950 метров на нефтяном месторождении (Томская область)

Объектом исследования является разведочная вертикальная скважина глубиной 2950 метров на нефтегазовом месторождении. Целью работы является – спроектировать технологические решения для бурения вертикальной разведочной скважины глубиной 2950 м.The object of the study is a vertical exploration well with a depth of 2950 meters in an oil and gas field. The aim of the work is to design technological solutions for drilling a vertical exploration well with a depth of 2950 m

Soil hydraulic parameters estimated from satellite information through data assimilation

Leaf area index (LAI) and actual evapotranspiration (ETa) from satellite observations were used to estimate simultaneously the soil hydraulic parameters of four soil layers down to 60 cm depth using the combined soil water atmosphere plant and genetic algorithm (SWAP-GA) model. This inverse model assimilates the remotely sensed LAI and/or ETa by searching for the most appropriate sets of soil hydraulic parameters that could minimize the difference between the observed and simulated LAI (LAIsim) or simulated ETa (ETasim). The simulated soil moisture estimates derived from soil hydraulic parameters were validated using values obtained from soil moisture sensors installed in the field. Results showed that the soil hydraulic parameters derived from LAI alone yielded good estimations of soil moisture at 3 cm depth; LAI and ETa in combination at 12 cm depth, and ETa alone at 28 cm depth. There appeared to be no match with measurement at 60 cm depth. Additional information would therefore be needed to better estimate soil hydraulic parameters at greater depths. Despite this inability of satellite data alone to provide reliable estimates of soil moisture at the lowest depth, derivation of soil hydraulic parameters using remote sensing methods remains a promising area for research with significant application potential. This is especially the case in areas of water management for agriculture and in forecasting of floods or drought on the regional scale

Caregiver burden mediates between caregiver\u27s mental health condition and elder\u27s behavioral problems among Japanese family caregivers

Objectives: In Japan, the prevalence of depression has been reported to occur among 1 in 4 family caregivers. The purpose of this study was to investigate the self-rated burden associated with mental health conditions among caregivers.Methods: We studied 95 caregivers aged 38-87 years in a cross-sectional study. The General Health Questionnaire (GHQ-12) score of 4 or more was defined as poor mental health.Results: The proportion of caregivers with poor mental health was 24%. Caregivers with a high GHQ-12 score had the number of caregiver burdens increased by 2.5-fold compared to those with a low GHQ-12 score (p = 0.001). The proportion of caregivers with a high GHQ-12 score was significantly higher with an increasing number of behavioral problems among care recipients (p = 0.003). A mediational model was used to identify the underlying mechanism of the relationship between the number of behavioral problems and poor mental health in caregivers. Consequently, we found that mental health conditions in caregivers were associated with both the number of caregiver burdens and behavioral problems among care recipients.Conclusions: It is vital to provide support not only to the caregivers but also to their elderly relatives, paying particular attention to early identification of poor mental health in caregivers so as to administer effective interventions, and to offer useful advice concerning how to deal with behavioral problems