scholarly journals The Solar Orbiter Heliospheric Imager (SoloHI)

2020 ◽  
Vol 642 ◽  
pp. A13 ◽  
Author(s):  
R. A. Howard ◽  
A. Vourlidas ◽  
R. C. Colaninno ◽  
C. M. Korendyke ◽  
S. P. Plunkett ◽  
...  

Aims. We present the design and pre-launch performance of the Solar Orbiter Heliospheric Imager (SoloHI) which is an instrument prepared for inclusion in the ESA/NASA Solar Orbiter mission, currently scheduled for launch in 2020.Methods. The goal of this paper is to provide details of the SoloHI instrument concept, design, and pre-flight performance to give the potential user of the data a better understanding of how the observations are collected and the sources that contribute to the signal.Results. The paper discusses the science objectives, including the SoloHI-specific aspects, before presenting the design concepts, which include the optics, mechanical, thermal, electrical, and ground processing. Finally, a list of planned data products is also presented.Conclusions. The performance measurements of the various instrument parameters meet or exceed the requirements derived from the mission science objectives. SoloHI is poised to take its place as a vital contributor to the science success of the Solar Orbiter mission.

2020 ◽  
Vol 642 ◽  
pp. A14 ◽  
Author(s):  
◽  
M. Anderson ◽  
T. Appourchaux ◽  
F. Auchère ◽  
R. Aznar Cuadrado ◽  
...  

Aims. The Spectral Imaging of the Coronal Environment (SPICE) instrument is a high-resolution imaging spectrometer operating at extreme ultraviolet wavelengths. In this paper, we present the concept, design, and pre-launch performance of this facility instrument on the ESA/NASA Solar Orbiter mission. Methods. The goal of this paper is to give prospective users a better understanding of the possible types of observations, the data acquisition, and the sources that contribute to the instrument’s signal. Results. The paper discusses the science objectives, with a focus on the SPICE-specific aspects, before presenting the instrument’s design, including optical, mechanical, thermal, and electronics aspects. This is followed by a characterisation and calibration of the instrument’s performance. The paper concludes with descriptions of the operations concept and data processing. Conclusions. The performance measurements of the various instrument parameters meet the requirements derived from the mission’s science objectives. The SPICE instrument is ready to perform measurements that will provide vital contributions to the scientific success of the Solar Orbiter mission.


Author(s):  
Charles Darwin ◽  
Rudy Trisno

Jelambar, Grogol Petamburan, with Jelambar Baru and Wijaya Kusuma, are one united district with a high density of residential population, that have hobby and habit on culinary business, that form many culinary centers and spread unevenly until Jelambar that caused Jelambar to have no culinary center like other districts have. Pawon Jelambar is designed to resolve issues of Jelambar that has no third place that needed by the district with a high density of population; also the low intensity of culinary. However, there are so many neglected small culinary businesses, because of many factors, one of them is a less strategic location. Pawon Jelambar wants to realize Jelambar’s unconsciously need of forming a place of culinary that integrated and has a clarity, by substitute all the small culinary businesses with Pawon Jelambar, with the purpose to increase culinary needs quality of Jelambar. This project is designed through designing stages as a method of design, such as understanding the district segment of Grogol Petamburan; arranging a diagram of issues of Jelambar and issues solving concept; design concept as the result of questionnaire answers analysis; zoning and space programs; analysis of project’s site determination; site analysis. All these analyses form building mass concepts; exterior and interior design; architectural details. The design result is Pawon Jelambar that uses the design concepts, such as green contemporary design, form and function runs together, and contextualism in responding site; with variants of culinary, mini market, culinary workshops, temporary exhibition, and food gallery, as the main architectural programs. Keywords: Architecture; Culinary; Jelambar; Pawon Jelambar; Third place AbstrakJelambar, Grogol Petamburan, bersama Jelambar Baru dan Wijaya Kusuma adalah satu-kesatuan kawasan padat penduduk hunian yang memiliki hobi dan kebiasaan berdagang kuliner, sehingga muncul beberapa pusat-pusat kuliner, namun penyebarannya tidak merata sampai Jelambar, sehingga Jelambar tidak memiliki sebuah pusat kuliner layaknya di titik kawasan lain. Proyek Pawon Jelambar dirancang untuk mengatasi isu-isu yang diangkat, yaitu tidak adanya third place yang menjadi kebutuhan padat penduduk Jelambar; dan intensitas rendah kuliner, namun banyak usaha kuliner kecil yang dibangun warga, tetapi banyak yang mati karena faktor tertentu, seperti lokasi yang kurang strategis. Pawon Jelambar ingin mengwujudkan keinginan tidak sadar Jelambar dalam membentuk sebuah tempat kuliner yang terintegrasi dan jelas, salah satunya dengan cara mensubstitusikan usaha-usaha kecil kuliner tersebut dengan Pawon Jelambar, yaitu untuk meningkatkan kualitas kebutuhan kuliner di kawasannya. Metode perancangan menggunakan serangkaian tahapan perancangan, yaitu pemahaman segmen kawasan Grogol Petamburan; penyusunan diagram isu kawasan dan konsep penyelesaian isu; konsep perancangan hasil analisis jawaban kuisioner; zoning dan program ruang; analisis pemilihan tapak; analisis tapak; menghasilkan konsep massa bangunan; desain eksterior, interior, dan detail arsitektur. Kesimpulan hasil perancangan adalah Pawon Jelambar yang menerapkan konsep green contemporary building design (sustainable architecture), form and function runs together, dan contextualism in responding site; dengan program utama tempat varian kuliner, mini market, pelatihan kuliner, eksibisi temporer dan food gallery.


2013 ◽  
Author(s):  
Russell A. Howard ◽  
Angelos Vourlidas ◽  
Clarence M. Korendyke ◽  
Simon P. Plunkett ◽  
Michael T. Carter ◽  
...  

2018 ◽  
Author(s):  
Shan Zeng ◽  
Mark Vaughan ◽  
Zhaoyan Liu ◽  
Charles Trepte ◽  
Jayanta Kar ◽  
...  

Abstract. This study applies fuzzy K-means cluster analyses to a subset of the parameters reported in the CALIPSO lidar level 2 data products and compares the clustering results with cloud-aerosol discrimination (CAD) scores reported in the version 4.1 release of the CALIPSO data products. The selection of samples, data training, performance measurements, fuzzy linear discriminants, defuzzification, error propagation, and key parameter analyses in feature type discrimination are discussed. Statistical results show that the fuzzy K-means classification agrees with the CAD algorithm classification for more than 94 % of the cases in troposphere. This is because the lidar-measured signatures of most clouds and aerosols are naturally different. Based on their different natures, objective methods can effectively separate clouds from aerosols in most cases. In addition to validating the current CAD algorithm, the fuzzy K-means clustering can also provide new insights and supplemental information to help better understand the driving parameters in the scene classification process.


Author(s):  
Jonathan Talbot

This paper reports an investigation of an industrial design project during the preliminary investigation and concept design stages. Conditions for the design project were established where some of the designers followed a more ‘user-centred’ approach to the design problem than others. It might have been expected that designers who were not adopting a user-centred approach would be more focussed on the visual appeal (style) or product technology aspects of their designs and might tend to disregard the interaction sequences involved in actual product use. It was found that designers in both groups resolved the ‘interaction design’ associated with the concepts to a similar level of detail. It was also found that the ‘user-centred’ designers did not tend to gather information on aesthetic issues when inquiring about end user requirements. The implications of these Findings for user-centred design methods are discussed.


Author(s):  
J M Sawer ◽  
M D Ford-Dunn

A fundamental re-evaluation of industrial engine design concepts is made to take into account modern environmental demands. A range of diesel and gasoline powerplants, incorporating many low-noise features, is suggested.


Author(s):  
Gábor Lencse

In the current stage of IPv6 deployment, the combination of DNS64 and NAT64 is an important IPv6 transition technology, which can be used to enable IPv6 only clients to communicate with IPv4 only servers. In addition to the existing free software DNS64 implementations, we proposed a tiny multithreaded one, MTD64.In this paper, the performance of MTD64 is measured and compared to that of the industry standard BIND in order to check the correctness of the design concepts of MTD64, especially of the one that we use a new thread for each request. For the performance measurements, our earlier proposed dns64perf program is enhanced as dns64perf2, which one is also documented in this paper. We found that MTD64 seriously outperformed BIND and hence our design principles may be useful for the design of a high performance production class DNS64 server. As an additional test, we have also examined the effect of dynamic CPU frequency scaling to the performance of the implementations.


10.14311/582 ◽  
2004 ◽  
Vol 44 (3) ◽  
Author(s):  
G. Green ◽  
G. Mamtani

The Conceptual design phase generates various design concepts and these are then evaluated in order to identify the 'Best’ concept. Identifying the Best concept is important because much of the product life cycle cost is decided in this phase. Various evaluation techniques are performed so as to aid decision-making. Different criteria are weighted against concepts for the comparison. This paper describes the research being carried out at the University of Glasgow on design evaluation. It presents the Application of fuzzy logic for design evaluation and proposes an integrated decision-making model for design evaluation. This is a part of research project that aims at developing a computer tool for evaluation process to aid decision-making.


2019 ◽  
Vol 12 (4) ◽  
pp. 2261-2285 ◽  
Author(s):  
Shan Zeng ◽  
Mark Vaughan ◽  
Zhaoyan Liu ◽  
Charles Trepte ◽  
Jayanta Kar ◽  
...  

Abstract. This study applies fuzzy k-means (FKM) cluster analyses to a subset of the parameters reported in the CALIPSO lidar level 2 data products in order to classify the layers detected as either clouds or aerosols. The results obtained are used to assess the reliability of the cloud–aerosol discrimination (CAD) scores reported in the version 4.1 release of the CALIPSO data products. FKM is an unsupervised learning algorithm, whereas the CALIPSO operational CAD algorithm (COCA) takes a highly supervised approach. Despite these substantial computational and architectural differences, our statistical analyses show that the FKM classifications agree with the COCA classifications for more than 94 % of the cases in the troposphere. This high degree of similarity is achieved because the lidar-measured signatures of the majority of the clouds and the aerosols are naturally distinct, and hence objective methods can independently and effectively separate the two classes in most cases. Classification differences most often occur in complex scenes (e.g., evaporating water cloud filaments embedded in dense aerosol) or when observing diffuse features that occur only intermittently (e.g., volcanic ash in the tropical tropopause layer). The two methods examined in this study establish overall classification correctness boundaries due to their differing algorithm uncertainties. In addition to comparing the outputs from the two algorithms, analysis of sampling, data training, performance measurements, fuzzy linear discriminants, defuzzification, error propagation, and key parameters in feature type discrimination with the FKM method are further discussed in order to better understand the utility and limits of the application of clustering algorithms to space lidar measurements. In general, we find that both FKM and COCA classification uncertainties are only minimally affected by noise in the CALIPSO measurements, though both algorithms can be challenged by especially complex scenes containing mixtures of discrete layer types. Our analysis results show that attenuated backscatter and color ratio are the driving factors that separate water clouds from aerosols; backscatter intensity, depolarization, and mid-layer altitude are most useful in discriminating between aerosols and ice clouds; and the joint distribution of backscatter intensity and depolarization ratio is critically important for distinguishing ice clouds from water clouds.


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