scholarly journals The Aspect of Data Translation in Service Similarity

Author(s):  
Dionysis Athanasopoulos
Author(s):  
Emin Yilmaz

Since the ASYST data acquisition and analysis software was discontinued and the old versions of ASYST do not support new computer operating systems and new data acquisition boards, old computer data acquisition (CDAQ) system is being replaced with a new data acquisition system. The new microcomputer based data acquisition system consists of an i-3 microcomputer with 3.0 GHz CPU and Windows-7 operating system, a Data Translation (DT) DT-304, 12-bit, 400 MHz data acquisition board with STP-300 screw terminal, Data Translation Measure Foundry (DT-MF) software and DT-LV link software [2], a National Instruments (NI) PCI-6250, M-series, low level, 16-bit, 1.25 MS/s board with 4-module SCC-68 I/O Connector Block, four thermocouple-input plug-in modules and NI LabVIEW (NI-LV) software [4]. Data Translation’s DT-LV software links DT boards with NI-LV software. Most ASYST-based data acquisition and analysis application programs used in Mechanical Engineering Technology (MET) courses have been converted to NI-LV and DT-MF application programs. Purpose of this paper is to describe how our old data acquisition application programs were converted to new data acquisition application programs so that they may be used with our new data acquisition system. Descriptions of the experiments, equipment used, and experiences gained with laboratory experiments are given elsewhere [8–13]. Specifically: Reference [8] covers upgrades made to the Materials Testing Laboratory, including Tinius-Olsen [14] tensile testing machine; reference [9] covers design and development of data acquisition programs for the materials testing, including Tensile Testing of Materials experiment; references [11] and [12] cover Heating Ventilating and Air Conditioning (HVAC) experiments and use of DAQ system in these experiments; reference [13] cover all uses of DAQ system in MET at University of Maryland Eastern Shore (UMES).


2008 ◽  
Vol 4 (2) ◽  
pp. 181-197 ◽  
Author(s):  
Kai Yang ◽  
Amanda Lo ◽  
Robert Steele

PurposeThe purpose of this paper is to address problems that exist in the context of XML to ontology translation. Existing research results dealing with XML to ontology translation do not facilitate bidirectional data translation due to the fundamental differences between XML schema and ontologies. This paper proposes a mapping representation ontology for modeling concept mappings defined between XML schema and ontology, enabling data translation without any information loss.Design/methodology/approachA two‐step compensation approach is proposed that aims to prevent the loss of data type, structural and relational information during any single trip data translation. The mapping representation ontology proposed is capable in capturing enough information to compensate the loss of information during translation, hence allowing bidirectional conversions between XML and ontology.FindingsFundamental differences between XML schema and ontology are identified as the main reason causing the loss of information during data translation. A compensation approach that captures a sufficient amount of concept mapping information data translation is found to be successful in enabling lossless data transformation.Practical implicationsOutcomes from this work allow for the seamless data translation between XML documents, it demonstrates how web applications can seamlessly communicate and exchange data with each other without the need to conform to a predefined data standard. This paper aims to enhance interoperability between distributed systems.Originality/valueThis paper presents a mapping ontology that captures concept mappings defined between XML schema and ontology. Two algorithms facilitating the bidirectional XML to ontology translation are also proposed.


2020 ◽  
Vol 2020 (2) ◽  
Author(s):  
V Bacal ◽  
D B Fell ◽  
H Shapiro ◽  
A Lanes ◽  
A E Sprague ◽  
...  

Abstract STUDY QUESTION Are data accurately documented in the Canadian Assisted Reproductive Technologies Register (CARTR) Plus database? SUMMARY ANSWER Measures of validity were strong for the majority of variables evaluated while those with moderate agreement were FSH levels, oocyte origin and elective single embryo transfer. WHAT IS KNOWN ALREADY Health databases and registries are excellent sources of data. However, as these databases are typically not established for the primary purpose of performing research, they should be evaluated prior to utilization for research both to inform the study design and to determine the extent to which key study variables, such as patient characteristics or therapies provided, are accurately documented in the database. CARTR Plus is Canada’s national register for collecting extensive information on IVF and corresponding pregnancy outcomes, and it has yet to be validated. STUDY DESIGN, SIZE, DURATION This study evaluating the data translation CARTR Plus database examined IVF cycles performed in 2015 using data directly from patient charts. Six clinics across Canada were recruited to participate, using a purposive sampling strategy. Fixed random sampling was employed to select 146 patient cycles at each clinic, representing unique patients. Only a single treatment cycle record from a unique patient at each clinic was considered during chart selection. PARTICIPANTS/MATERIALS, SETTING, METHODS Twenty-five data elements (patient characteristics, treatments and outcomes) were reabstracted from patient charts, which were declared the reference standard. Data were reabstracted by two independent auditors with relevant clinical knowledge after confirming inter-rater reliability. These data elements from the chart were then compared to those in CARTR Plus. To determine the validity of these variables, we calculated kappa coefficients, sensitivity, specificity, positive predictive value and negative predictive value with 95% CI for categorical variables and calculated median differences and intraclass correlation coefficients (ICC) for continuous variables. MAIN RESULTS AND THE ROLE OF CHANCE Six clinics agreed to participate in this study representing five Canadian provinces. The mean age of patients was 35.5 years, which was similar between the two data sources, resulting in a near perfect level of agreement (ICC = 0.99; 95% CI: 0.99, 0.99). The agreement for FSH was moderate, ICC = 0.68 (95% CI: 0.64, 0.72). There was nearly perfect agreement for cycle type, kappa = 0.99 (95% CI: 0.98, 1.00). Over 90% of the cycles in the reabstracted charts used autologous oocytes; however, data on oocyte source were missing for 13% of cycles in CARTR Plus, resulting in a moderate degree of agreement, kappa = 0.45 (95% CI, 0.37, 0.52). Embryo transfer and number of embryos transferred had nearly perfect agreement, with kappa coefficients greater than 0.90, whereas that for elective single or double embryo transfer was much lower (kappa = 0.55; 95% CI: 0.49, 0.61). Agreement was nearly perfect for pregnancy type, and number of fetal sacs and fetal hearts on ultrasound, all with kappa coefficients greater than 0.90. LARGE-SCALE DATA N/A LIMITATIONS, REASONS FOR CAUTION CARTR Plus contains over 200 variables, of which only 25 were assessed in this study. This foundational validation work should be extended to other CARTR Plus database variables in future studies. WIDER IMPLICATIONS OF THE FINDINGS This study provides the first assessment of the quality of the data translation process of the CARTR Plus database, and we found very high quality for the majority of the variables that were analyzed. We identified key data points that are either too often lacking or inconsistent with chart data, indicating that changes in the data entry process may be required. STUDY FUNDING/COMPETING INTEREST(S) This study was funded by Canadian Institutes of Health Research (CIHR) (Grant Number FDN-148438) and by the Canadian Fertility and Andrology Society Research Seed Grant (Grant Number: N/A). The authors report no conflict of interest. TRIAL REGISTRATION NUMBER Not applicable.


Author(s):  
Guansong Lu ◽  
Zhiming Zhou ◽  
Yuxuan Song ◽  
Kan Ren ◽  
Yong Yu

CycleGAN is capable of learning a one-to-one mapping between two data distributions without paired examples, achieving the task of unsupervised data translation. However, there is no theoretical guarantee on the property of the learned one-to-one mapping in CycleGAN. In this paper, we experimentally find that, under some circumstances, the one-to-one mapping learned by CycleGAN is just a random one within the large feasible solution space. Based on this observation, we explore to add extra constraints such that the one-to-one mapping is controllable and satisfies more properties related to specific tasks. We propose to solve an optimal transport mapping restrained by a task-specific cost function that reflects the desired properties, and use the barycenters of optimal transport mapping to serve as references for CycleGAN. Our experiments indicate that the proposed algorithm is capable of learning a one-to-one mapping with the desired properties.


2015 ◽  
Vol 73 (5) ◽  
Author(s):  
Muhammad Hanis Rashidan ◽  
Ivin Amri Musliman

The emerging geospatial technologies in earth and space science informatics have led to the advancement in developing international standards for geospatial interoperability. In the last few years, two main trends are making disruptions in geospatial applications; mobile and context sharing. Geospatial data format used in mobile GIS to support advance mobile application is challenged. This is due to the lack of interoperability, open-standard, cross platform and standard APIs for access and management. For instance, most mobile GIS developments are application-dependent, contains redundant geospatial data, consume large storage capacity, and require custom applications for data translation. Based on these issues, new OGC file format named GeoPackage will enable greater geospatial data sharing on mobile and web platform. This data format is an open standard, non-proprietary, platform-independent, container for distribution, and direct use of all kinds of geospatial data will increase cross-platform interoperability, geospatial applications and web services. This presents a comprehensive review of mobile GIS hence, the concept of GeoPackage as a modern geospatial tool was discussed, while its relevance in contemporary geospatial technology are highlighted.


2005 ◽  
Vol 6 (3) ◽  
pp. 213-220 ◽  
Author(s):  
Jianchang Qi ◽  
Vadim Shapiro

Geometric data interoperability is critical in industrial applications where geometric data are transferred (translated) among multiple modeling systems for data sharing and reuse. A big obstacle in data translation lies in that geometric data are usually imprecise and geometric algorithm precisions vary from system to system. In the absence of common formal principles, both industry and academia embraced ad hoc solutions, costing billions of dollars in lost time and productivity. This paper explains how the problem of interoperability, and data translation in particular, may be formulated and studied in terms of a recently developed theory of ε-solidity. Furthermore, a systematic classification of problems in data translation shows that in most cases ε-solids can be maintained without expensive and arbitrary geometric repairs.


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