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The infrared emission limb sounder MIPAS (Michelson Interferometer for Passive Atmospheric Sounding) will be operated as an ESA core instrument on the ENVISAT-1 satellite. Near real time retrieval of pressure, temperature (p,T) and volume mixing ratio (VMR) of five key species (O-3, H2O, N2O, CH4, and HNO3) from calibrated spectra will be performed in the Level 2 processor of the ENVISAT Payload Data Segment. In order to develop an optimized (with respect to speed and accuracy) retrieval algorithm suitable for the implementation in MIPAS Level 2 processor, an ESA supported study is being carried out. In the framework of this study, an optimized forward / retrieval code based on the global fit approach was implemented. In this approach all the spectra of a limb-scanning sequence are simultaneously fitted, so that error propagation in the altitude domain is avoided.The attained accuracy performances of the retrieval code are the following:Temperature error < 2 K at all the altitudes covered by the standard MIPAS scan (8-53 km)Tangent pressure error: < 3%Error on the retrieved VMR of the key species: < 5 % at most of the altitudes of scientific interest covered by the standard MIPAS scan.The run-time required to perform p,T and VMR retrieval of the five MIPAS target species from a limb-scanning sequence of 16 limb-views is less than 6 minutes on a SUN SPARCstation 20. The most effective code optimizations were implemented in the radiative transfer model and in the computation of the jacobian of the retrieval.

The upcoming launch of the L-band Synthetic Aperture Radar (SAR) satellite mission Radar Observing System for Europe L-band SAR (ROSE-L) will enable multi-frequency SAR observations when combined with existing C-band satellite missions (e.g., Sentinel-1). Due to the different penetration depths of the SAR signals, multi-frequency SAR offers great potential for field-scale agricultural monitoring and the estimation of soil and plant parameters. The SARSense campaign, conducted between June and August 2019 at the Selhausen agricultural test site near Jülich, Germany, has yielded a comprehensive dataset that includes both air- and space-borne C- and L-band SAR data, extensive in-situ field measurements of soil and plant parameters as well as unmanned aerial systems (UAS)-based multispectral and thermal infrared measurements and cosmic neutron sensing observations. The study provides both, an insight into the strengths and limitations of the acquired dataset as well as an analysis of the different behaviour of C- and L-band backscattering on changing soil moisture and plant parameters for taproot crops and cereals.

While the smart city gains global attention as a popular umbrella term for digitally enabled sustainable city development, city ad- ministrations are faced with the managerial challenge that comes with a strategic digital transformation. Smart city projects form the frontline of smart city strategies. In these smart projects, cities find a way to implement the principles of the smart city. Many of these are high-visibility projects with substantial budget implications, and therefore require scrutiny by means of a formal selection and evaluation process. In this research-in-progress paper we propose the outline for a project-level smart value assessment instrument. The instrument should serve at the same time as a tool for smart city managers to assess and plan upfront how a project will con- tribute to reach the city’s smart city ambition, as well as a post factum evaluation. The conceptual instrument has been developed in action-design research mode in collaboration with practitioners in the city of Brisbane, Australia and is demonstrated by mapping four smart city initiatives in different international contexts.

To systematize domestic and foreign experience of usage of space remote sensing data, transformation methods for different-level and different-time datasets and program tools for their processing to creation of the National Internet-center of monitoring and analysis of data for solving, among others, the problems of crops productivity forecasting in Ukraine. The review of world achievements in the field of diverse space surveys using for grain agriculture problems solving is accomplished. The main questions related to identification and inventory of agricultural grounds for control of crops condition, definition of soils structure, quality and timeliness of various agricultural procedures controlling, dynamics of development of crops supervision and productivity forecasting are cover. The main requirements are formulated and necessary components for creation of architecture of information, methodical and program implementation of the Ukrainian Internet-center for monitoring and the analysis of space remote sensing data for grain agriculture problems solving are defined. The results received can be used for preparation and implementation of main stages of Ukrainian Internet-center creation for agricultural areas monitoring.

This paper presents the Antenna tracking system leading to a significant improvement of antenna pointing accuracy, which has been developed by Astrium and first flies onboard KASAT. Efficiency and robustness of the antenna tracking system will be presented showing the ability to remove large transient errors either from station keeping manoeuvre or sun eclipse transition.

A joint international science mission (Aquarius/SAC-D) between NASA and the Argentine Space Agency (Comision Nacional de Actividades Espaciales, CONAE) was launched on June 10, 2011. The Microwave Radiometer (MWR), flown on board of SAC-D, complements the prime sensor, Aquarius L-band radiometer/scatterometer, by providing simultaneous spatially collocated environmental measurements such as ocean surface wind speed, oceanic rain rate, integrated atmospheric water vapor, and sea ice concentration, which aid in retrieving accurate Sea Surface Salinity (SSS). This paper presents the brightness temperature algorithm and on orbit validation for the newest version (V6.0), which includes a radiometer system non-linearity correction. Post launch analysis was conducted to perform antenna pattern correction and other radiometric biases correction using inter-satellite radiometric comparison with the US Navy's WindSat radiometer during a 6 month period of MWR on-orbit measurements.

The development of control system, especially in the field of robotics was improving more progress in efforts to complete human work. One of them is an automatic goods carrier robot system that used in industry. At present, the majority of automatic goods carrier robotsystem still usea human control. In this paper, a design of automatic system for robotic goods carriers will be presented. One of the challenges in the development of a goods transport robot system is how the robot can run stably when carrying goods. This study presents a design of goods carrier robot system based on line sensors and fuzzy logic control. The input that used in this fuzzy logic system are the light and weight which obtained from the BFD-1000 sensor and barometric sensor. Meanwhile, the output of fuzzy system are the speed of right motor and the left motor, in order to stabilize the robot movement when the load was added. The simulation was is done to get the membership function value. Based on the simulation results using a case study, it is known that the load carried is 210 grams and the living sensor is sensor -2.5. Then the simulation results obtained speed of right motor PWM value of 21,9 and speed of left motor PWM value of 64,4. So that the robot runs in a straight state.

The article deals with the design of the IoT communication platform for real HVAC operation, which is designed for the design of intelligent buildings. For its own implementation, the existing RS485-based access systems infrastructure will be used, extended by wireless gateways. The data obtained is stored in a cloud environment where the datamining methods are then evaluated. The article describes the basic principle of the operation of the proposed infrastructure and demonstrates the pilot verification in a real environment.

There has been a recent increase in research related to supernumerary robotic arms. A challenge with supernumerary robotic arms is how to operate them effectively. One solution is to use the foot to teleoperate the arm. That frees the person to use their arms for other tasks. However, unlike hand interfaces, it is not known how to create effective foot control for robotic teleoperation. This paper presents an experiment to compare position and rate control methods for foot interfaces. A foot interface is presented that can be used for both position and rate control. A human subject experiment uses 2D positioning tasks to evaluate the effectiveness of each control method. These same tasks are tested with a hand interface to provide a baseline for comparison. Results show that, similar to the hand, position control performs faster than rate control when using the foot.