Measurement of the partial oxygen pressure and oxygen utilization in the skin of cosmonauts aboard Salyut 6

The oxygen tension (PO₂) in the dorsal skin surface of the forearm was studied during the stay of cosmonauts on board Salyut 6. Between the fourth and fifth day of stay on the orbital station a considerable reduction of the PO₂ level was observed. The oxygen utilization values were also reduced. In the early postflight period the low PO₂ level persisted, with gradual normalization.     

Telescience testbed for biomedical experiments in space morphological and physiological experiments of rat musculoskeletal system.

As the second telescience testbed experiment we were examined sophisticated processes of biomedical experiment, such as an implantation of a transmitter into the hamster's abdominal cavity, non-stressful blood sampling, large amount of blood collection, muscle extirpation and biopsy from the hamsters on February 6-8, 1990. To make clear the differences between successful results obtained by an experienced hand and by a non-experienced one, three operators were selected for three successive experimental days; an engineer who had never experienced any biological experiment, a non-biology student, who experienced on biological experiments, and a veterinary surgeon. Surgical procedures need much experiences on maneuvering and understanding of theory to shorten the elapse time. Especially for a non-experienced hand, graphic instructions were much helpful to understand and to maneuver the procedures. Continuous recordings of ECG from a operator and PIs were of an advantage to grasp an extent of the mental strain, which was compared with their reports requested after end of each experimental day. The mental strain was not related to degrees of scientific achievement, but showed faithfully difficulty of each experimental procedure. Training effects on PIs in successive experimental days were found in their instructions for the operator to let understand the procedures.     

Selection of sterilization methods for planetary return missions.

Two tasks must be accomplished to provide planetary protection for Mars return missions: (1) sterilization of the scientific module to be landed on Mars and (2) reliable sterilization of all material returned to Earth, while ensuring the scientific integrity of martian samples. This paper examines similarity and differences between these two tasks, and includes a discussion of technological implementation conditions and the nature of terrestrial and hypothesized martian microflora. The feasibility of a number of chemical and physical (ultraviolet and ionizing radiation and heating) methods of sterilization for use on the ground and onboard are discussed and compared. A combination of different methods will probably be selected as the most appropriate for ensuring planetary protection on the return mission.     

Hypertension and orthostatic hypotension in applicants for spaceflight training and spacecrews: a review of medical standards.

The inauguration of NASA of the position of Payload Specialists for SHUTTLE-SPACELAB flights has broken the tradition of restrictive medical physical standards in several ways: by reducing physical requirements and extensive training; by permitting the selection of older individuals and women; by selecting individuals who may fly only one or several missions and do not spend an entire career in space activities. Experience with Payload Specialists to be gained during the forthcoming SPACELAB missions, observing man in spaceflight step by step on an incremental basis, will provide valuable data for modifying the medical standards for Payload Specialists, Space Station Technicians, and Space Support Personnel who perform routine work rather than peculiar tasks. Such revisions necessarily include a modification of traditional blood pressure standards. In this paper I review the history and evolution of these standards in aeronautics and astronautics.     

近地小行星探测目标的选择

正1探测近地小行星面临的问题探测是研究的基础,但与探测大天体相比,小行星探测面临许多新问题,这些问题包括:1)近地小行星(NEA)数量巨大,截至2017年5月1日,已经发现了16089颗。从众多的天体中选择探测目标,其难度可想而知。2)近地小行星的轨道各异,如轨道倾角、偏心率、自旋周期、半主轴长度等参数相差很大。根据美国航空航天局(NASA)喷气与推进实验室(JPL)给出的数据,近地小行星轨道     

卫星编队飞行相对轨道动力学模型的比较及选用

基于动力学方法推导了几种编队飞行相对轨道动力学模型．分析比较了引力项线性化以及J2摄动引起的模型误差的数量级,给出了模型选取的参考准则以及适用条件,分析了不同模型的适用性．最后选取太阳同步轨道和静止轨道作为数值算例,选取合适的相对轨道动力学模型,验证模型选取准则的有效性．仿真结果表明一定范围内考虑^摄动能提高精度,而超出一定范围J2的引入只会增加复杂性,因此提出的模型选取准则对相对轨道动力学模型的选取有一定的参考价值．     

空间实验室任务航天员选拔训练与飞行保障

1引言
　　空间实验室任务是我国载人航天工程第二步第二阶段的收官之战,承上启下,意义深远。空间实验室任务主要包括两个方面：一是开展较大规模的空间科学实验和空间应用试验,以及航天医学实验;二是考核验证航天员中期驻留、推进剂补加、在轨维修等空间站建造运营关键技术。     

脉冲星导航中最优脉冲星组合选取方法

分析了X射线脉冲星导航原理,发现脉冲星的位置和脉冲到达时间(Time of Arrival,TOA)的测量误差直接影响导航精度.为优选导航脉冲星组合,在误差协方差分析的基础上,提出了一种导航脉冲星组合优选方法.该方法分别定义了优选指标位置精度因子(Positioning Dilution of Precision,PDOP)和脉冲星优选指标(Pulsars Select Criteria,PSC),不仅考虑了脉冲星空间位置分布,还考虑了测量噪声差异对导航误差的影响.最后以25颗信号品质较好的脉冲星为例,仿真验证了所提方法的有效性.     

Selection and hydroponic growth of potato cultivars for bioregenerative life support systems

As part of the ESA-funded MELiSSA program, Ghent University and the Université catholique de Louvain investigated the suitability, growth and development of four potato cultivars in hydroponic culture under controlled conditions with the aim to incorporate such cultivation system in an Environmental Control and Life Support System (ECLSS). Potato plants can fulfill three major functions in an ECLSS in space missions: (a) fixation of CO₂ and production of O₂, (b) production of tubers for human nutrition and (c) production of clean water after condensation of the water vapor released from the plants by transpiration. Four cultivars (Annabelle, Bintje, Desiree and Innovator) were selected and grown hydroponically in nutrient film technique (NFT) gullies in a growth chamber under controlled conditions. The plant growth parameters, tuber harvest parameters and results of tuber nutritional analysis of the four cultivars were compared. The four potato cultivars grew well and all produced tubers. The growth period lasted 127 days for all cultivars except for Desiree which needed 145 days. Annabelle (1.45 kg/m²) and Bintje (1.355 kg/m²) were the best performing of the four cultivars. They also produced two times more tubers than Desiree and Innovator. Innovator produced the biggest tubers (20.95 g/tuber) and Desiree the smallest (7.67 g/tuber). The size of Annabelle and Bintje potatoes were intermediate. Bintje plants produced the highest total biomass in term of DW. The highest non-edible biomass was produced by Desiree, which showed both the highest shoot and root DW. The manual length and width measurements were also used to predict the total tuber mass. The energy values of the tubers remained in the range of the 2010 USDA and Souci-Fachmann-Kraut food composition databases. The amount of Ca determined was slightly reduced compared to the USDA value, but close to the Souci-Fachmann-Kraut value. The concentration of Cu, Zn and P were high compared to both databases.     

Selection of microwave bands for global snow detection

Microwave radiometers and scatterometers as all-weather and day-and-night sensors are excellent tools for the reliable, regular observation of dynamic features of the surface of the earth. The various hydrologic states, the development of the metamorphism, the water equivalent and other parameters of the snow cover cause a very distinct spectral behaviour of the microwave emission and backscattering.The results of a long-term ground-based investigation of the microwave radiation properties along with classical determinations of the snow parameters during five seasons on an alpine test area allow the definition of an optimum package of microwave passive and active sensors for the global monitoring of the snow cover.Additionally it has been demonstrated that the utilization of the Nimbus-7 Scanning Multi-channel Microwave Radiometer data permit the production of large scale maps of the extent of dry snow, the estimated water equivalent of dry snow and the areas changing between frozen and wet snow.     

Selection and hydroponic growth of bread wheat cultivars for bioregenerative life support systems

As part of the ESA-funded MELiSSA program, the suitability, the growth and the development of four bread wheat cultivars were investigated in hydroponic culture with the aim to incorporate such a cultivation system in an Environmental Control and Life Support System (ECLSS). Wheat plants can fulfill three major functions in space: (a) fixation of CO₂ and production of O₂, (b) production of grains for human nutrition and (c) production of cleaned water after condensation of the water vapor released from the plants by transpiration. Four spring wheat cultivars (Aletsch, Fiorina, Greina and CH Rubli) were grown hydroponically and compared with respect to growth and grain maturation properties. The height of the plants, the culture duration from germination to harvest, the quantity of water used, the number of fertile and non-fertile tillers as well as the quantity and quality of the grains harvested were considered. Mature grains could be harvested after around 160 days depending on the varieties. It became evident that the nutrient supply is crucial in this context and strongly affects leaf senescence and grain maturation. After a first experiment, the culture conditions were improved for the second experiment (stepwise decrease of EC after flowering, pH adjusted twice a week, less plants per m²) leading to a more favorable harvest (higher grain yield and harvest index). Considerably less green tillers without mature grains were present at harvest time in experiment 2 than in experiment 1. The harvest index for dry matter (including roots) ranged from 0.13 to 0.35 in experiment 1 and from 0.23 to 0.41 in experiment 2 with modified culture conditions. The thousand-grain weight for the four varieties ranged from 30.4 to 36.7 g in experiment 1 and from 33.2 to 39.1 g in experiment 2, while market samples were in the range of 39.4–46.9 g. Calcium levels in grains of the hydroponically grown wheat were similar to those from field-grown wheat, while potassium, magnesium, phosphorus, iron, zinc, copper, manganese and nickel levels tended to be higher in the grains of experimental plants. It remains a challenge for future experiments to further adapt the nutrient supply in order to improve senescence of vegetative plant parts, harvest index and the composition of bread wheat grains.     

Spectroscopic data and Stark broadening of Cu I and Ag I spectral lines: Selection and analysis

Optical emission and linear laser absorption spectroscopy techniques were used in investigation of plasma with copper and silver admixture. The method of selection of spectral lines and spectroscopic data with the aim of diagnostics of multicomponent air plasma with two metal vapors admixture was developed. Energy level populations behavior on the Boltzmann plot were used for Cu I and Ag I spectroscopic data selection. In this way the selection of spectroscopic data for some of Cu I and Ag I lines was realized. Stark broadening parameters of Cu I and Ag I were examined. Experimentally obtained temperature and electron density radial distributions were used in the calculation of plasma composition in the assumption of local thermodynamic equilibrium. Linear laser absorption spectroscopy was used to examine the state of plasma.     

Selection of sensors and spectral bands of marine observation satellite (MOS) — 1

After trading off the proposed requirements by the Committee on Earth Observation Satellite Development, cost and time for development of sensors, spacecraft and launch vehicle, the following sensors were selected for Marine Observation Satellite (MOS) - 1.(1) Four channel visible and near IR sensor (MESSR) with 50 meter resolution. (2) Four channel visible and thermal IR sensor (VTIR) with 0.9 km (visible) and 2.7 km (IR) resolution respectively. Out of three IR channels, two channels are atmospheric window channels while the third channel is water vapor absorption band. (3) Two channel microwave scanning radiometer (MSR) with responsivity in 23.8 and 31.4 GHz respectively. (4) Data collection system.     

基于改进FCM的北斗三频组合观测值选取

以北斗卫星导航系统三频双差为基础探讨了组合观测值及误差,针对以往采用聚类方法在研究GPS三频组合数据过程中的不足,提出了基于距离修正的增量模糊C均值算法.通过调节因子有效地修正了样本中心与聚类中心的距离,获得合理的隶属度,从而得到正确的分类;构造了基于距离修正的聚类有效性指标,自动获取最佳聚类数,避免了人为确定聚类数的不合理性;在此基础上引入增量的思想,数据增加时以原有的数据集为基础,根据阈值进行归类,不需要重新进行初始计算.通过矩阵变换法及实例验证了该方法的可行性和可靠性.     

Selection of candidate salad vegetables for controlled ecological life support system

Higher plants, as one of the essential biological components of CELSS, can supply food, oxygen and water for human crews during future long-duration space missions and Lunar/Mars habitats. In order to select suitable leaf vegetable varieties for our CELSS Experimental Facility (CEF), five varieties of lettuce (“Nenlvnaiyou”, “Dasusheng”, “Naichoutai”, “Dongfangkaixuan” and “Siji”), two of spinach (“Daye” and “Quanneng”), one of rape (“Jingyou No. 1”) and one of common sowthistle were grown and compared on the basis of edible biomass, and nutrient content. In addition, two series of experiments were conducted to study single leaf photosynthetic rates and transpiration rates at 30 days after planting, one which used various concentrations of CO₂ (500, 1000, 1500 and 2000 μmol mol⁻¹) and another which used various light intensities (100, 300, 500 and 700 μmol m⁻² s⁻¹). Results showed that lettuce cvs. “Nenlvnaiyou”, “Siji” and “Dasusheng” produced higher yields of edible biomass; common sowthisle would be a good source of β-carotene for the diet. Based on the collective findings, we selected three varieties of lettuce (“Nenlvnaiyou”, “Dasusheng” and “Siji”) and one of common sowthistle as the candidate crops for further research in our CEF. In addition, elevated CO₂ concentration increased the rates of photosynthesis and transpiration, and elevated light intensity increased the rate of photosynthesis for these varieties. These results can be useful for determining optimal conditions for controlling CO₂ and water fluxes between the crops and the overall CELSS.     

磁选态单束铯束管束光学参数的模拟计算和设计

为提高铯束管跃迁信号强度,在束光学参数设计中,用蒙特卡罗方法模拟计算铯原子通过率和未跃迁比例。通过改变模拟计算中的束光学参数,分析铯原子通过率、未跃迁比例和倍增器首极电流的变化趋势,得到了主要束光学参数的合理取值范围。在铯束管实际装配和试验中使用束光学参数设计结果,有效地增加了倍增器首极电流。     

Selection of spectral bands for Indian remote sensing satellite (IRS)

Indian Space Research Organisation (ISRO) plans to launch a Remote Sensing Satellite around 1985 for acquiring resources information in the visible and near infrared region. For this a number of projects under Joint Experiments Program (JEP) were taken up between ISRO and various departments under Government of India to define the mission parameters including the spectral bands. This paper presents the results obtained in the selection of spectral bands and their widths for IRS program.     

Selection of classification techniques for land use/land cover change investigation

The concerns over land use/land cover (LULC) change have emerged on the global stage due to the realisation that changes occurring on the land surface also influence climate, ecosystem and its services. As a result, the importance of accurate mapping of LULC and its changes over time is on the increase. Landsat satellite is a major data source for regional to global LULC analysis. The main objective of this study focuses on the comparison of three classification tools for Landsat images, which are maximum likelihood classification (MLC), support vector machine and artificial neural network (ANN), in order to select the best method among them. The classifiers algorithms are well optimized for the gamma, penalty, degree of polynomial in case of SVM, while for ANN minimum output activation threshold and RMSE are taken into account. The overall analysis shows that the ANN is superior to the kernel based SVM (linear, radial based, sigmoid and polynomial) and MLC. The best tool (ANN) is then applied on detecting the LULC change over part of Walnut Creek, Iowa. The change analysis of the multi temporal images indicates an increase in urban areas and a major shift in the agricultural practices.     

The private sector: A global pool of technical talent for remote sensing training and program support

The growing global pool of highly trained, technical talent in the private sector throughout the world reflects the degree of maturation that remote sensing from air and space vehicles has undergone, especially during the past ten years. This has been further spawned by the US Government move to commercialize the Landsat system. The number of qualified technicians and scientists has grown in proportion to the amount of data that has become available for public and private use. Applications of the data have matured from research investigations to operational use in many disciplines and geographic areas. Private and public industry corporations have established their own image processing and analytical laboratories to ensure their competitive positions. This has been further enhanced by the simultaneous availability of lower cost, analytical computer systems. Training and operational project development remain prominent objectives.While these are all very positive aspects a note of caution must be raised. Concern has recently been expressed by representatives of developing nations that not enough attention is given by remote sensing specialists to spelling out the limitations of the sensing systems or qualifying the degree of accuracy of the results obtained. Such criticisms are probably justified and it is recommended that remote sensing workers be mindful of such concerns.     

Classification of hyperspectral remote-sensing data with primal SVM for small-sized training dataset problem

With recent technological advances in remote sensing, very high-dimensional (hyperspectral) data are available for a better discrimination among different complex land-cover classes having similar spectral signatures. However, this large number of bands makes very complex the task of automatic data analysis. In the real application, it is difficult and expensive for the expert to acquire enough training samples to learn a classifier. This results in a classification problem with small-size training sample set. Recently, a regularization-based algorithm is usually proposed to handle such problem, such as Support Vector Machine (SVM), which usually are implemented in the dual form with Lagrange theory. However, it can be solved directly in primal formulation. In this paper, we introduces an alternative implementation technique for SVM to address the classification problem with small-size training sample set. It has been empirically proven that the effectiveness of the introduced implementation technique which has been evaluated by benchmark datasets.