Collection Of Historical Data Research Articles

RCS Historical Data Screening Method Based on Spatial Observation Geometric Relationship

Selecting accurate Radar Cross Section (RCS) sequence historical data has an important impact on RCS-based spatial target attitude anomaly detection. RCS is related to factors such as satellite shape size, attitude and radar observation angle, and is a sensitive function of observation angle variation. In this paper, the influence of spatial observation geometric relationship on spatial target RCS sequence is analysed. Aiming at the orbital regression characteristics unique to spatial targets, a spatial target RCS historical data screening method based on dynamic time programming (DTW) distance is proposed. According to the relationship between the azimuth and the elevation angles of the radar line of sight, the orbit data with similar spatial geometry is found from the historical data. The orbital data of the system. This method can reduce the impact of Earth’s rotation on data observation and establish a more efficient database. The variational mode decomposition (VMD) of RCS is carried out, and the fractal box dimension of each component is extracted as the data feature, and the BP neural network is used as the classifier for the anomaly detection. The simulation results prove that compared with the traditional historical data collection method, this method can improve the attitude detection rate of space targets and has better robustness.

CAPABILITY OF MATTERPORT 3D CAMERA FOR INDUSTRIAL ARCHAEOLOGY SITES INVENTORY

Abstract. This paper provides an overview of state-of-the-art technology and sensor for the inventory of industrial archaeology. As an object of study, a historical copper shaft the Quincy Mine in Michigan State Upper Peninsula was chosen. This shaft was operated for nearly 100 years from 1846 to 1945 and today, what remains of the shaft is a part of the Keweenaw National Historical Park. The main sensor for data acquisition that was used is a 3D camera Matterport. In given research, the results of the above ground scanning using of Matterport are presented. Before scanning a calibration of Matterport camera was performed. The calibration was done by comparison of coordinates of targets determined by FARO Scanner. It was found out that the camera has significant systematic errors which have to be accounted during data processing. Because of the specific data structure of Matterport camera, only the scale factor was calculated and then applied to point clouds. Field works comprised historical and archive data collection and analysis, reconnaissance and scanning of the Quincy Mine interior. As a final result of the research 3D model of the Quincy Mine interior was constructed. Further, this model is going to be used for the Quincy Mine Museum virtual tours. There are many advantages to using Matterport. First of all, such a technology does not need dense geodetic support, average working time at station equals to 2–3 minutes. Cost of Matteroprt equipment is competitive to the cheapest terrestrial laser scanners.

TOWARDS A SEMANTIC BASED HUB PLATFORM OF VAULTED SYSTEMS: HBIM MEETS A GEODB

Abstract. In the last years many efforts have been invested in the cultural heritage digitization: surveying, modelling, diagnostic analysis and historic data collection. Nowadays, this effort is finalized in many cases towards the Historical Building Information Modelling. The number of informative models testifying the multifaceted richness and unicity of the architectural heritage and its components is progressively increasing. Information and Model are generally acquired under researches and analysis phases addressed to the preservation and restoration process. Unfortunately, once concluded the research such documentation is mostly left abandoned in the drawers or in the local memory of the computers, and in some cases totally missed. Just a few of them are saved in a server or in the cloud for the duration of the restoration, but without any connection with the maintenance process of historic architectures or knowledge transfer purposes and dissemination. This data loss would lead to the breaking of the cycle of past, present and future, with loss of memory and knowledge. The paper start facing the aspect of managing the information and models acquired on the case of vaulted systems. Information is collected within a semantic based hub platform to perform cross co-relation at a PanEuropean level. Such functionality allows to reconstruct the rich history of the construction techniques and skilled workers across Europe, enriched by 3 case studies surveyed in Prague region. To this purpose a Vault DB has been undertaken with a Vocabulary enriched by the granular information gained from the HBIM models, and with the vault sub-typologies highlighted by a detailed surveying.

기억의 사각지대에서 잊힌 홀로코스트 —일본의 정미의병 및 민간인 학살과 한반도 강점의 시작—

This research aims to analyze the genocide of the Jeongmi Righteous Armies and civilians by the Japanese Imperial Army from the perspectives of the Holocaust and contends that the genocide resulted in Japan’s annexation of Korea in 1910. First, this research, defining Japan’s hegemony as immature, illustrates that the immaturity of hegemony and governance failure caused the genocide. Second, this research depicts the war between the Japanese Army and the righteous armies as a form of asymmetric warfare and analyzes the genocide through the collection and analysis of various historical data. The purpose of this research is to shed light on the implications of the sacrifice by analyzing the genocide committed in asymmetric warfare between an immature hegemony and civilian armies.

AN A-Z OF BANGLADESH PHARMACEUTICAL INDUSTRY

Objective: Discussion and projection of Bangladesh pharma market in a multi-dimensional approach. Methodology: Inclusive data collection from newspapers, journals, newsletters, news reports and updates. The true focus was on historical data collection, current market scenario, projections by experts in related fields, drug dealers, mergers and acquisitions, market trend analysis reports and newer development prospects. Findings: Bangladesh pharma market has tremendous hope, although going through lots of anomalies. Reasons behind are economic development, population blast, investment scopes, FDIs along with many other unexplained matters. By next decade, Bangladesh is aiming to 30 world class drug manufacturers to establish strong footstep in global pharma market. Bangladesh, as an LDC got exempted from the obligation of patent and data protection in this arena until 2033. Interestingly, Bangladesh already passed across the LDC landmark to a developing country. So, there’s window of opportunity of more than a decade to grow further from that aspect. Limitation: Market is too big to be explained in a single article. The term “A -Z” doesn’t reveal all information about Bangladesh pharma market is accomplished, rather 26 letters used in 26 headlines, that means 26 points of this market is discussed that surely comprised a greater part of it. Practical Implication: Along with students, researchers and professionals of different background and disciplines, e.g. Pharmacists, marketers, finance companies and regulatory authorities have to acquire much from this article.

The study of Economic Complexity and GDP Effect on Inflation Rate and Income Inequality in Persian Gulf States 2002 -2015

The purpose of this study was to examine the effect of economic complexity and gross domestic product (GDP) on inflation rate and income inequality between 2002 and 2015. The statistical population of this research is Persian Gulf states, and independent variables are economic complexity and GDP and dependent variables are inflation rate and income inequality. The present research is an applied research and is essentially a descriptive research, and also in terms of methodology, it is considered as a correlational research. The theoretical literature and subjective history and research data collection had been done using library method and document mining method, respectively. Descriptive and inferential statistics have been used to describe and summarize the collected data. Firstly, variance heterogeneity pre-tests, F lemmer test, Hausman test and Jarque-Bera test were used to for analyzing data and then multivariate regression test and Eviews software were used to confirm and reject the research hypotheses. The results of the research show that economic complexity and GDP have a positive and significant effect on inflation rate, while economic complexity and GDP have a negative effect on income inequality.

Historical data collection and storage design of cross-platform SCADA

Historical data collection and storage design of cross-platform SCADA

Penerapan Lean Manufacturing untuk Mengurangi Waste pada Produksi Absorbent

This study aims to reduce the waste that occurs on each workstation and has an impact on increasing productivity and reducing production costs caused by waste that occurs during production. The data used for this study is quantitative data obtained by direct observation to the relevant departments regarding the problem of identifying waste that occurs — data taken from observations as much as 30 times the collection of data and historical data used from January 2016 to June 2017. By using the value stream mapping method on lean manufacturing, it can be seen that there are five types of waste from the existing seven waste. The five wastes are unnecessary motion, waiting, reject, transportation and in-process processes. From the results of the value stream mapping carried out a reduction in waste on each workstation with a total reduction of waste that occurs at 66.97 tons / year or 18.6% on waste gel and 88.8 tons / year or 19.3% at waste powder and there was a reduction in the changeover process for 45 minutes or 12.16% of the total changeover time before the improvement. Also, there was also an increase in the production process speed of 2 minutes 47 seconds or 4.52% from the lead time of the previous production process, 61 minutes 34 seconds to 58 minutes 47 seconds.

Semantic Modelling and Publishing of Traditional Data Collection Questionnaires and Answers

Extensive collections of data of linguistic, historical and socio-cultural importance are stored in libraries, museums and national archives with enormous potential to support research. However, a sizable portion of the data remains underutilised because of a lack of the required knowledge to model the data semantically and convert it into a format suitable for the semantic web. Although many institutions have produced digital versions of their collection, semantic enrichment, interlinking and exploration are still missing from digitised versions. In this paper, we present a model that provides structure and semantics to a non-standard linguistic and historical data collection on the example of the Bavarian dialects in Austria at the Austrian Academy of Sciences. We followed a semantic modelling approach that utilises the knowledge of domain experts and the corresponding schema produced during the data collection process. The model is used to enrich, interlink and publish the collection semantically. The dataset includes questionnaires and answers as well as supplementary information about the circumstances of the data collection (person, location, time, etc.). The semantic uplift is demonstrated by converting a subset of the collection to a Linked Open Data (LOD) format, where domain experts evaluated the model and the resulting dataset for its support of user queries.

Study on the posts and performance evaluation model of inpatients in public hospitals based on .NET platform DRGs payment mode

SummaryPerformance appraisal is a daily, homework, fair, and open appraisal of each hospital, which can mobilize the enthusiasm and creativity of the employees to the greatest extent so that both the company and the employees can achieve development. At present, the ascendant information revolution has become an important factor in promoting the development of the times. The use of advanced information technology to develop advanced information systems to conduct fair and open assessments of the ever‐increasing number of company employees has become the trend of the times. This article makes a historical review of the development and function of the performance appraisal system, and fully analyzes the new features and new functions of the performance appraisal system in the new period, and details the solution. This system develops and uses .NET development platform and SQL Server 2005 database. Using a distributed approach, the system's development costs have reduced, and the system's maintainability and scalability are improved. This paper studies the establishment of a performance‐based distribution model based on diagnostic relevance grouping theory (DRGs) in public hospitals. Based on the DRGs as a theoretical basis, after a long period of historical data collection, a theoretical model was established, repeated regression calculations, and focused evaluations. A performance‐distribution scheme centered on workload has established to reflect the factors such as the labor risk, technical difficulty, and labor cost of the attending doctors in relation to different patient conditions. The formulation and implementation of the new performance plan embodies the input of labor value and conforms to the spirit of the new medical reform.

An analysis of Peru: Is water driving mining conflicts?

Mining projects face community opposition in various parts of the world, and water is often perceived as a primary source of such opposition. Despite the proliferation of community conflicts at mine sites, there is a dearth of documented, quantitative analyses for insights as to the factors contributing to such conflicts. Peru provides a useful case study for such an analysis given the history of data collection on mining-related conflicts. We provide a statistical analysis with data from Peru from 2007 to 2016. During this time period the country was plagued with numerous mining related conflicts. We have separated out those conflicts that were perceived to be water related. Apart from reviewing national trends, this paper also analyses region-level data. We find that quality and availability of water are drivers for those water-related social conflicts with mining companies. However, other factors such as past conflicts and revenue payments to the sub-national level play a bigger role.

From the Field to the Cloud: A Review of Three Approaches to Sharing Historical Data From Field Stations Using Principles From Data Science

Author(s): Easterday, K; Paulson, T; DasMohapatra, P; Alagona, P; Feirer, S; Kelly, M | Abstract: Historical data play an important role in our understanding of environmental change and ecosystem dynamics. By lengthening the temporal scale of scientific inquiry, historical data reveal insights into the dynamic nature of ecosystems. However, most historical data has yet to make a full contribution, remaining and out of reach to the broader scientific community. This article responds to several calls stressing the importance of empirical historical materials and urges their preservation and accessibility. Despite the importance of historical data collections, few standards have emerged to integrate historical dark data into the larger digital data landscape. To encourage greater use of historical data across scientific disciplines it is vital to make data findable, accessible, interoperable, and reusable (e.g., the FAIR principles). In this paper we discuss the potential of historical dark data to contribute to the modern digital ecological data landscape. We do this by focusing on three cases from the University of California field and research stations and the groups that have worked to make historical dark data discoverable. Despite the common goal of maximizing the potential use of these data collections, each case and the methods employed are unique, and showcase varying levels of success in achieving the FAIR principles and shepherding historical data into the twenty-first century.

Un Modelo de Gestión para una Empresa de Medicina Prepagada utilizando Dinámica de Sistemas

Contexto: El modelo de gestión empresarial para potencializar el crecimiento de la pequeña y mediana empresa, realizado por el autor de este artículo, sirvió de base para aplicarlo en función de las necesidades específicas de la empresa objeto de estudio (medicina prepagada), determinando para ello las variables específicas para su giro de negocio y conservando otras variables de aplicabilidad general.
 Método: Se utilizó la técnica de entrevistas con la alta dirección de la empresa, lo que posibilitó recopilar la información relevante, confiable y correcta. Se consideró que al estudiar un determinado sistema conviene analizar su comportamiento a partir de datos representativos de lo que se espera que sea su funcionamiento habitual y no con datos correspondientes a situaciones extremas. Las entrevistas permitieron determinar las variables necesarias para el modelo realizado.
 Resultados: Una vez que se diseñó el modelo fue posible simular resultados en función de los requerimientos puntuales de la empresa, lo que permitió visualizar el impacto que dichos resultados tendrían en la empresa objeto de estudio.
 Conclusiones: La conjunción de la metodología de la dinámica de sistemas, las entrevistas, la recopilación de datos históricos, así como también el involucramiento de las leyes que rigen estos negocios en el Ecuador, permitieron la obtención de un producto aplicable y confiable para la organización.

La transformación y gentrificación turística del espacio urbano. El caso de la Barceloneta (Barcelona)

Urban areas with tourist attractions usually undergo major transformations. One of Barcelona’s most significant neighborhoods is called Barceloneta, the historical site of the city’s sailors. More recently, this area’s capacity to attract gastronomic and beach tourism has generated important changes in the social and economic structure. In this conversion, the typical elements involved in the tourism system are observed: Accommodation, resources and tourism policies. Bibliographic, press and magazine sources form the basis of the collection of information and historical data taken into account for this research. Also, interviews and participant observation complete the analysis. This data allows the projection of a functional and sustainable city model as a space object and subject, both for local residents and visitors, presenting the so-called gentrified tourist conversion model.

Research and application of virtual user context information security strategy based on group intelligent computing

This article first introduced the current technology of the privacy protection model, and analyzed their characteristics and deficiencies. Afterwards, from the point of view of revenue, the shortcomings of the traditional privacy protection model have analyzed through the group intelligent computing method. Based on this, this paper proposes a research and application of virtual user information of security strategy based on group intelligent computing, through the collection of visitor's private information historical access data, intelligent calculation of the strategy group between the visitor and the interviewee. The setting of the threshold of the visited person can protect the privacy information of the user more effectively. In this paper, the implementation flow, algorithm implementation process, and specific architecture design of the proposed virtual user of privacy protection model based on group intelligent computing are introduced respectively. The specific algorithms include PCA, BP neural network, and genetic algorithm. Finally, the proposed privacy has verified through experiments. Protection model can protect user privacy more effectively than traditional privacy protection model. In the future, we will further expand and improve the privacy protection model of virtual users based on group intelligent computing, including considering the dynamic and inconsistency of access to the privacy information, that is, accessing different private information will produce different overlay effects and parallelism. We will also study how to apply this model to actual systems such as shopping websites and social platforms, and use commercial data to evaluate the performance of the model and further improve it.

A Model for Creating Connections and Building Collections-Based Curricula for Pre-College Educators

Science is increasingly emphasized in high school classrooms and compliments current Science, Technology, Engineering, and Math (STEM) and Science, Technology, Engineering, the Arts, and Math (STEAM) educational initiatives. Successful educational programs and activities must now be aligned to state and national science standards, including Next Generation Science Standards (NGSS). The NGSS contain three dimensions: practices, crosscutting concepts, and disciplinary core ideas. Natural history collections and collections data naturally complement these three dimensions. However, many educators are unfamiliar with collections and unaware of the resources available through data aggregators such as the Integrated Digitized Biocollections (iDigBio). How can we make educators aware of these resources and empower them to implement these resources as educational tools in their classrooms? At the 2016 Incorporating K-12 Outreach into Digitized Collections Programs workshop and 2017 National Science Teacher Association meeting, iDigBio staff discussed these questions with educational experts from the United States. The consensus was that activities needed to align with appropriate teaching standards, as a bare minimum, and that building relationships with the target audience was crucial to introducing new educational materials into the classroom. Once educators become comfortable and familiar with new resources via hands-on training, they would be more likely to implement them into their respective classrooms. In July 2018, a 3-day workshop “Drawers, Jars, and Databases: Teaching the Hidden Science of Natural History Museums" was held at the North Carolina Museum of Natural Sciences (NCMNS) in Raleigh. The workshop was designed to serve as a pilot program to determine if training and building of relationships with local educators will increase use of digitized collections data in the classroom. Partners hosting this workshop included staff from iDigBio, the MicroFungi Thematic Collections Network, and NCMNS. This presentation will expand upon methods used to address and achieve workshop goals of increasing the knowledge of natural history collections and collections data, as well as, increasing the competency for implementing collections-based activities utilizing data aggregators in the classroom.

Revisiting hypervelocity stars after Gaia DR2

Hypervelocity stars are intriguing rare objects traveling at speeds large enough to be unbound from the Milky Way. Several mechanisms have been proposed for producing them, including the interaction of the Galaxy's super-massive black hole (SMBH) with a binary; rapid mass-loss from a companion to a star in a short-period binary; the tidal disruption of an infalling galaxy and finally ejection from the Large Magellanic Cloud. While previously discovered high-velocity early-type stars are thought to be the result of an interaction with the SMBH, the origin of high-velocity late type stars is ambiguous. The second data release of Gaia (DR2) enables a unique opportunity to resolve this ambiguity and determine whether any late-type candidates are truly unbound from the Milky Way. In this paper, we utilize the new proper motion and velocity information available from DR2 to re-evaluate a collection of historical data compiled on the newly-created Open Fast Stars Catalog. We find that almost all previously-known high-velocity late-type stars are most likely bound to the Milky Way. Only one late-type object (LAMOST J115209.12+120258.0) is unbound from the Galaxy. Performing integrations of orbital histories, we find that this object cannot have been ejected from the Galactic centre and thus may be either debris from the disruption of a satellite galaxy or a disc runaway.

Georeferencing and data quality: SANBI’s story

Georeferencing helps to fill in biodiversity information gaps, allowing biodiversity data to be represented spatially to allow for valuable assessments to be conducted. The South African National Biodiversity Institute has embarked on a number of projects that have required the georeferencing of biodiversity data to assist in assessments for redlisting of species and measuring the protection levels of species. Data quality in biodiversity information is an important aspect. Due to a lack of standardisation in collection and recording methods historical biodiversity data collections provide a challenge when it comes to ascertaining fitness for use or determining the quality of data. The quality of historical locality information recorded in biodiversity data collections faces the scrutiny of fitness for use as these information is critical in performing assessments. The lack of descriptive locality information, or ambiguous locality information deems most historical biodiversity records unfit for use. Georeferencing should essentially improve the quality of biodiversity data, but how do you measure the fitness for use of georeferenced data? Through the use of the Darwin Core coordinateUncertaintyinMeters, georeferenced data can be queried to investigate and determine the quality of the georeferenced data produced. My presentation will cover the scope of ascertaining georeferenced data quality through the use of the DarwinCore term coordinateUncertatintyInMeters, the impacts of using a controlled vocabulary in representing the coordinateUncertaintyInMeters, and will highlight how SANBI’s georeferencing efforts have contributed to data quality within the management of biodiversity information.

Solar irradiation nowcasting by stochastic persistence: A new parsimonious, simple and efficient forecasting tool

Simple, naïve, smart or clearness persistences are tools largely used as naïve predictors for the global solar irradiation forecasting. It is essential to compare the performances of sophisticated prediction approaches with that of a reference approach generally a naïve methods. In this paper, a new kind of naïve “nowcaster” is developed, a persistence model based on the stochastic aspect of measured solar energy signal denoted stochastic persistence and constructed without needing a large collection of historical data. Two versions are proposed: one based on an additive and one on a multiplicative scheme; a theoretical description and an experimental validation based on measurements realized in Ajaccio (France) and Tilos (Greece) are exposed. The results show that this approach is efficient, easy to implement and does not need historical data as the machine learning methods usually employed. This new solar irradiation predictor could become an interesting tool and become a new member of the solar forecasting family.

Patient outcomes of genetic counseling: Assessing the impact of different approaches to family history collection.

No studies have yet evaluated whether different modalities for the collection of family history data influence patient outcomes of genetic counseling. We retrospectively compared outcomes of genetic counseling between patients whose family history (Fhx) was collected (1) via telephone prior to their appointment (FhxPrior) or (2) during the appointment (FhxDuring). We used a psychiatric genetic counseling clinic database, where information about demographics and Fhx timing is recorded, and patients complete the Genetic Counseling Outcomes Scale (GCOS, measuring empowerment) and Illness Management Self-Efficacy Scale (IMSES) immediately prior to (T1) and 1 month after their appointment (T2). We used ANCOVA to evaluate the effect of the Fhx method on patient outcomes at T2. Complete data were available for 240 patients and were used for analysis (FhxPrior, n = 206; FhxDuring, n = 34). GCOS and IMSES scores increased from T1 to T2 (P < .0005 and P = .004, respectively). Although there was no difference between groups for GCOS (P = .412), T2 IMSES scores were significantly higher for FhxPrior than FhxDuring after controlling for T1 scores (P = .011). Our data suggest that obtaining Fhx via telephone prior to genetic counseling may lead to greater increases in patients' self-efficacy as compared to obtaining Fhx during the genetic counseling appointment.