Transformation Information Research Articles

ImageGP 2 for enhanced data visualization and reproducible analysis in biomedical research.

ImageGP is an extensively utilized, open-access platform for online data visualization and analysis. Over the past 7 years, it has catered to more than 700,000 usages globally, garnering substantial user feedback. The updated version, ImageGP 2 (available at https://www.bic.ac.cn/BIC), introduces a redesigned interface leveraging cutting-edge web technologies to enhance functionality and user interaction. Key enhancements include the following: (i) Addition of modules for data format transformation, facilitating operations such as matrix merging, subsetting, and transformation between long and wide formats. (ii) Streamlined workflows with features like preparameter selection data validation and grouping of parameters with similar attributes. (iii) Expanded repertoire of visualization functions and analysis tools, including Weighted Gene Co-Expression Network Analysis, differential gene expression analysis, and FASTA sequence processing. (iv) Personalized user space for uploading large data sets, tracking analysis history, and sharing reproducible analysis data, scripts, and results. (v) Enhanced user support through a simplified error debugging feature accessible with a single click. (vi) Introduction of an R package, ImageGP, enabling local data visualization and analysis. These updates position ImageGP 2 as a versatile tool serving both wet-lab and dry-lab researchers with expanded capabilities.

Data Preparation: A Technological Perspective and Review

Data analysis often uses data sets that were collected for different purposes. Indeed, new insights are often obtained by combining data sets that were produced independently of each other, for example by combining data from outside an organization with internal data resources. As a result, there is a need to discover, clean, integrate and restructure data into a form that is suitable for an intended analysis. Data preparation, also known as data wrangling, is the process by which data are transformed from its existing representation into a form that is suitable for analysis. In this paper, we review the state-of-the-art in data preparation, by: (i) describing functionalities that are central to data preparation pipelines, specifically profiling, matching, mapping, format transformation and data repair; and (ii) presenting how these capabilities surface in different approaches to data preparation, that involve programming, writing workflows, interacting with individual data sets as tables, and automating aspects of the process. These functionalities and approaches are illustrated with reference to a running example that combines open government data with web extracted real estate data.

3D simulation research on the damage of load-bearing structure of prefabricated building based on BIM model

In order to overcome the problems of low detection accuracy and poor detection performance existing in the traditional method of building load-bearing structure damage simulation, this paper proposes a new three-dimensional simulation detection system of building load-bearing structure damage based on BIM model. The system obtains the data of the load-bearing structure of the prefabricated building through the relevant monitoring equipment and 3D laser scanner. The data processing layer constructs the safety rule base, realises the data format transformation, noise filtering and transmission to the application layer. The application layer realises the damage detection of the load-bearing structure of the prefabricated building through the structure damage detection method based on 3D laser scanning and BIM. The experimental results show that compared with the traditional damage detection system, the system has a higher accuracy of damage detection, which can detect only 0.02 mm long damage in the load-bearing structure of prefabricated buildings.

3D Simulation Research On The Damage Of Load-Bearing Structure Of Prefabricated Building Based On Bim Model

In order to overcome the problems of low detection accuracy and poor detection performance existing in the traditional method of building load-bearing structure damage simulation, this paper proposes a new three-dimensional simulation detection system of building load-bearing structure damage based on BIM model. The system obtains the data of the load-bearing structure of the prefabricated building through the relevant monitoring equipment and 3D laser scanner. The data processing layer constructs the safety rule base, realises the data format transformation, noise filtering and transmission to the application layer. The application layer realises the damage detection of the load-bearing structure of the prefabricated building through the structure damage detection method based on 3D laser scanning and BIM. The experimental results show that compared with the traditional damage detection system, the system has a higher accuracy of damage detection, which can detect only 0.02 mm long damage in the load-bearing structure of prefabricated buildings.

NVHT: An efficient key–value storage library for non-volatile memory

Non-Volatile Memory (NVM) promises persistence, byte-addressability and DRAM-like read/write latency. These properties indicate that NVM has the potential to be incorporated with key–value stores to achieve high performance and durability simultaneously. Specifically, data can be stored in NVM inherently without DRAM buffering, which eliminates expensive disk I/Os and data format transformation cost. However, several challenges such as data inconsistency and write endurance arise along with the benefits. We propose a library named NVHT to provide APIs for NVM-based key–value store operations. In NVHT, we introduce non-volatile pointer to solve the dynamic address mapping problem and design a wear-out-aware memory allocator for NVM. The core of NVHT is a novel NVM-friendly hash table structure. NVHT guarantees consistency using a log-based mechanism. The experimental results show that compared with LevelDB and BerkeleyDB running on a DRAM-based file system, NVHT achieves more than 2x and 4x speedup for insert and search operation respectively. Compared with in-memory key–value store system Redis, NVHT still achieves higher transaction performance in terms of random update throughput (up to 1.5x and 2.5x for RDB scheme and AOF scheme, respectively).

A normalization-based watermarking scheme for 2D vector map data

Copyright protection of 2-dimensional (2D) vector map data is of great importance in the community of geographic information sciences. However, no blind, imperceptible and robust algorithm has been proposed by far. To fill the gap, this paper puts forwards a normalization-based watermarking algorithm for 2D vector map data: firstly, each coordinate of the original vector map data is normalized, and the watermark is shuffled; then the shuffled watermark is multiply embedded in the normalized vector data. After this, the coordinates of the watermarked data is restored (i.e. anti-normalized) for normal use. Once a suspicious copyright piracy appears, the watermarked data is re-normalized and the watermark can be detected and extracted. Our mathematical proofs and experiments have shown that the scheme owns four features that a good watermarking algorithm should possesses, i.e. usability, invisibility, blindness and robustness: the precision of the watermarked data can be guaranteed (usability); the users cannot perceive the embedded watermark (invisibility); the watermark can be extracted without knowing the original data and the original watermark; and the algorithm can resist a number of attacks such as translation, scaling, vertices reordering, vertex deletion, vertex insertion, vertex modification, cropping, and data format transformation (robustness).

Design and Implementation of Embedded Medical Data Transmission Platform based on HL7/XML System

Network interconnection and data sharing has become a global health information development trend. This paper mainly introduces a method and process for embedded medical data transmission platform based on an HL7/XML system. Data format transformation of between hospital and community care are achieved after data collection by the HL7/XML news of construction and analytic in monitoring and hospital, the HL7/XML messages are encoded extensible to markup language XML and are implement transmitted on the network. Then the transmissions of XML data in Wireless Local Area Network (WLAN) are realized by WiFi network driver development. The results show that this paper proposed the embedded medical data transmission platform operation simple, and has economic and practical value.

Software Bus Architecture of Computer Numerical Control System

To meet the needs of open system and specific requirements of CNC platform, the component Software-Bus-Adapter model (SBA model) is presented. In this model, functional modules and application modules are encapsulated into components and integrated through software bus. The software bus is bridge between components communication. And the adapters accomplished hybrid components interface and data format transformation, which can be added to and removed from the system at runtime. Based on The SBA model is proven to be a solid base for CNC developing system with high efficiency, interoperability, scalability and openness. Development Practice has proved that SBA - based model of CNC system has more efficient and better interoperability and flexibility.

Semantic Interoperability through the Definition of Conceptual Model Transformations

AbstractThe integration of distributed geospatial data is a great issue in GI Science. Hereby, the collection of data from different systems and different structures as well as across country borders is a problem. We explain a model‐based four‐step approach to conceptual data modelling. Within this approach, we introduce a methodology to map data models on the conceptual level without touching data formats. First, we developed a conceptual mapping language called “UMLT” which is the core of our approach. Furthermore, we integrated UMLT into the Model‐Driven Architecture where a conceptual model mapping is referred to as a platform independent model mapping. Finally, the data format transformation is deduced from the model mapping automatically. This represents the implementation mapping from a platform independent model to a platform specific model. Together with transformation operations for attribute mapping, this approach is a means for effective and enhanced semantic interoperability.

딸림자료의 멀티미디어 데이터베이스 구축을 통한 이용 효율 제고에 관한 연구

This study is expected to discuss some methods regarding the uplift of user`s use convenience and the efficiency of material management by constructing the multimedia database through the digitalization of the especial audiotape-typed materials among accompanying materials. In order to do that, this paper dealt with the present management conditions of accompanying materials, the sorts of audio data formats, data format transformation, the methods of administration and utilization, etc. And this paper also presented the expected effect and problems caused by multimedia databases construction of accompanying materials.

Data Format Transferring for FIB Microfabrication

Data format transformation is very important for 2D and 3D nanofabrication of FIB technology because only one map file format with the extension name XBM is available in FIB workstation software. This XBM format has only a few drawing functions which limits the bitmap editor when creating a complicated map file such as a spiral or a gear. Therefore, it is necessary to make use of specialised software which can transfer map files created by other drawing software such as AutoCAD and CorelDRAW into the FIB machine in the required XBM map file format. The method of transferring a map file created by AutoCADR14 into the XBM format file is discussed in detail in this paper, It is available for practical FIB micromanufacturing.

Bit-rate Flexible Picosecond Pulse Width Conversion with All-optical Mono-stable Multivibrator Laser Diode

An optical mono-stable multivibrator laser diode (MM-LD) is realized by using a multi-electrode distributed feedback laser diode. All-optical pulse-width conversion of ultra-short pulses to non-return-to-zero (NRZ) is achieved using an MM-LD. The MM-LD is adopted for a wide range of bit-rates between 2-10 Gbit/s by tuning the DC bias. Data format transformation from 10-Gbit/s return-to-zero optical signals to NRZ optical-signals is achieved with error free operation. Converted optical signals, which have a narrower spectral bandwidth and lower peak power than when input, are transmitted using a 1.3-μm zero dispersion fiber (1.3Aλ0-SMF).

Transform information: A symmetry breaking measure

A connection between two fundamental concepts of information and symmetry breaking (SB) is established. A concept called transform information (TI) is introduced. The known information measures (Hartley, von Neumann-Shannon-Wiener, Fisher informations, Renyi entropies) can be derived as (or mathematically expressed by) the particular forms of TI for certain transforms of a physical systems (when they are described by the probability measures). As TI is zero when the system is invariant under respective transform, it can be considered, when nonzero, as a quantitative SB measure in the system under study. The classical information measures that are derived from TI also can be perceived as SB measures. This fact is a base for assigning a sense to information. The concept of TI is extended to the cases when systems are described without the use of probability concept.

Representation, display, and manipulation of 3D digital scenes and their medical applications

The computer representation of a 3D digital (or voxel-based) scene is heavily influenced by the processing for which it is used. In medical imaging applications, the commonly used types of processing include data format transformation, segmentation of the regions of interest, display, and manipulation, and quantitative measurement of the objects contained in the scene. In this paper, with all these types of processing taken into account, we propose a new data structure called “quadtree-segment encoding” to represent a 3D digital binary scene. We also propose some associated algorithms for those types of processing, including: 1. An algorithm to generate quickly a distance-only shaded image of the 3D scene; 2. A new image space shading method, called “interence-driven shading”, which is computationally inexpensive and provides good image quality; 3. A simple image space anti-aliasing method; 4. An algorithm to make interactively some quantitative measurements, manipulate interactively the organs, and redisplay the organs after manipulation. 5. An algorithm which is simple conceptually and cheap computationally to compute ray-object intersections for displaying transparent objects and slicing the objects. If we take all the factors of data compactness, speed, image quality, and efficiency of display and manipulation into account, the object representation and associated algorithms seem superior to others proposed in the literature, particularly for medical applications.