Data Input Module Research Articles

An Integrated Framework for Landscape Indices’ Calculation with Raster–Vector Integration and Its Application Based on QGIS

Landscape-index calculation tools play a pivotal role in ecosystem studies and urban-planning research, enabling objective assessments of landscape patterns’ similarities and differences. However, the existing tools encounter limitations, such as the inability to visualize landscape indices spatially and the challenge of computing indices for both vector and raster data simultaneously. Based on the QGIS development platform, this study presents an innovative framework for landscape-index calculation that addresses these limitations. The framework seamlessly integrates both vector and raster data, comprising three main modules: data input, landscape-index calculation, and visualization. In the data-input module, the tool accommodates various data formats, including vector, raster, and tabular data. The landscape indices’ calculation module allows users to select indices at patch, class, and landscape scales. Notably, the framework provides a comprehensive set of 165 indices for vector data and 20 for raster data, empowering users to selectively calculate landscape indices for vector or raster data to their specific needs and leverage the strengths of each data type. Moreover, the landscape-index visualization module enhances spatial visualization capabilities, meeting user demands for an insightful analysis. By addressing these challenges and offering enhanced functionalities, this framework aims to advance landscape indices’ development and foster more comprehensive landscape analyses. And it presents a novel approach for landscape-index development.

A Real-time Assessment System for Cognitive Performances of Armored Vehicle Crews Based upon the Multi-source Information Fusion

In the human-machine system of armored vehicles, the cognitive performance state of crews is crucial for the personnel security and combat efficiency. The purpose of this research was to establish a real-time assessment system for cognitive performances of armored vehicle crews, consisting of the data input module, data processing module, data visualization module, and scheduling module. Forty subjects were recruited to cooperate and execute the cross-platform strike task in a virtual simulation platform. The physiological data and operation behavior data was collected during the experiment process. To realize the accurate classification of different cognitive performance states, a multi-source information fusion algorithm was developed based on linear discriminant analysis (LDA) and D-S evidence theory, which included the information collection module, the feature extraction module, and the information fusion module. The results indicated that there existed a significant correlation between the extractive feature indicators (i.e., EOG, ECG, and task performance indicators) and the cognitive performance. The recognition accuracy and the data efficiency of the proposed assessment system were 91.25% and 96.69% respectively by using the complementarity of different evidences, which were higher than the others using partial information sources. This study can provide a reference for the comprehensive assessment of cognitive performance of human operators in military and industrial domains.

Experience of design and development of a new open access interactive multifunctional database management system for special lexis of biology

Terminology work requires a lot of data processing in the practical research of comparative linguistics, especially when studying linguistic and terminological changes over time. The lack of appropriate wide-usage electronic tools and databases can slow down such research. Thus, an efficient information management solution is necessary to improve the efficiency of terminology and comparative linguistic research. Since 2021, a team of terminologists, translators, researchers, and information system developers worked together for two years, during which the open access interactive multifunctional database management system (IMDS) was designed and developed for data storage and a wide range of statistical and search options, especially for language research purposes and comparative multilingual studies in linguistics and terminology. The information system consists of multiple modules (input, statistics, export, etc.). The data input module was successfully designed and developed and has been used effectively by researchers for entering and collecting special lexis units. The article mainly describes the statistical data that can be obtained from the IMDS, as well as problems encountered during the development of the system. The IMDS data collection has been updated with 50,846 entries of scientific (Latin) organism names, 60,585 entries of local names of different organisms (mainly in Latvian, but also in other languages), 1427 entries of names of organism-caused diseases, 2942 entries of dictionary words and 313 entries of terms with definitions collected based on excerpts from different publications containing common names linked with their scientific names.

An automatic correction system of singing intonation based on deep learning

In order to solve the problems of low accuracy and slow correction speed in traditional singing intonation correction system, an automatic singing intonation correction system based on deep learning is proposed. In the hardware, floating-point DSP and TDSP-TF984 chip are selected as the core chips of automatic correction processor of singing intonation. The data input module and parameter calculation module of singing intonation are designed to improve the singing intonation data collector. In the software, the group delay estimation method is used to collect the singing intonation signal, and the deep learning algorithm is used to decompose the false component of the singing intonation signal. The autocorrelation function and characteristic distribution operator of the singing intonation signal are obtained to realise the singing intonation signal correction. The experimental results show that the highest accuracy of the proposed system is about 97.8%, and the shortest correction time is about 1 s.

Role of Embedded System for X-Ray comparison of lungs to detect a COVID-19 affected person at the entry point of Aerodromes, Railway Stations and Metro Stations in perspective of India.

Nowadays, the biggest threat to mankind is COVID-19. This is a disease caused by severe acute respiratory syndrome coronavirus 2, SARS-Co V-2. It is must to control and stop the spreading of this disease. This paper is proposed to control the spread of this pandemic at the entry point of railway stations, metro stations, and aerodromes. The testing of COVID-19 is the most significant remedy to control, contain and reduce the COVID-19 pandemic. This paper proposes an embedded system design, which can be used at the entry point of aerodromes, railway stations, and metro stations, especially from an Indian perspective. This system can be used to analyze x-ray results of the lungs of the passenger who is entering the railway stations, aerodromes, and metro stations. The proposed system comprises a portable X-ray machine and an embedded system which consists of a Raspberry Pi Board ( Model B), that will be interfaced with a data input module, SD card slot, display monitor at HDMI port, LEDs, and buzzers. The system compares the passenger's X-ray image at the entry point of railway stations, aerodromes, and metro stations with the X-ray image of a COVID-19 patient, which is already stored in the SD card. If the similarity is found between the X-ray image taken at entry and the X-ray of a COVID-19 patient, at that moment, buzzers and LEDs will be activated. This system can be very much useful to restrict the spreading of infection of COVID-19.

Research on Geological Information Collection Based on Data Mining

In order to improve the efficiency of collecting geological data and digitization, the geological data acquisition system based on WorldWind mobile terminal is developed, which integrates WorldWind map technology, network communication technology, multithread technology, and data storage technology. The realization methods of location module, data input module, solid projection module, and 3D display module are expounded. The research and development of this system realizes the information collection, browsing, and display of geological work, provides convenient data input mode for geological workers, and promotes the development of digitization, information, and modernization of geological and mineral work.

Design and Realization of Highly Reliable Logic Control Software for Pre-Launch Escape Command and Control System

Abstract In order to meet the sudden danger of manned launch vehicle on the ground, emergency escape control design in the pre-launching stage should ensure high reliability and high safety. Based on programmable logic control combination (PLC), a logic control software design was proposed. By constructing ‘data input module’, ‘logic control module’ and ‘function module’, emergency escape commands could be transmitted accurately; at the same time, combined with redundancy design, filtering design and other reliability design measures, the goal of occupying less system resources and high efficiency has been realized, which could guarantee that astronauts escape quickly and reliably at the first time of danger.

The Design of Data Input Module in Virtual Welding System

By using inverse grating technology, improving the design of data input module in virtual welding system. We analyzed and accomplished the method of data input, taking into account the weldment needs to make a dynamic changes in the welding process, we design the static and dynamic data input modules. Through running some instances of the program, we have proved that, with the corresponding improvement of the inverse grating technology, the design of data input module in the virtual welding system has achieved good result.

Web-based construction waste estimation system for building construction projects

This paper proposes a web-based construction waste estimation system (WCWES) for building construction projects incorporating the concepts of work breakdown structure, material quantity takeoff, material classification, material conversion ratios, material wastage levels, and the mass balance principle. The WCWES integrates online data input modules and online analytical modules for the quantification of different kinds of waste generated in the construction process at the project level. It facilitates accessibility, interfacing, connectivity and information sharing of users in carrying out a wide range of construction waste estimation tasks for sustainable construction waste management. A hypothetical building construction project is used to demonstrate the application and usefulness of the WCWES. • Developing a web-based building construction waste estimation system • Allowing online analytical processing of construction waste • Improving the estimation accuracy of construction waste • Allowing multi-dimensional analysis of construction waste

A Conceptual Framework of an Advanced Planning and Scheduling System for Printed Circuit Board Manufacturing Lines

Advanced planning and scheduling (APS), which is one of the most advanced technologies in manufacturing management applications, is emerged to resolve the shortcomings of enterprise resource planning (ERP) systems and manufacturing execution systems (MES) as a planning and scheduling tool. In this paper, we suggest a conceptual design of an APS system, specific for printed circuit board (PCB) manufacturing lines. In general, the PCB line can be regarded as a hybrid flow shop in which there are serial workstations, each with unrelated parallel machines, and has special characteristics such as complex and re-entrant flows, high and sequence-dependent setup times, subcontracting in the operation level, etc. Although there are a number of commercially available APS packages, they are not directly applicable to the PCB lines due to these characteristics. Therefore, we suggest a new conceptual design of APS, called PCB-APS in this paper, which consists of five modules: work module, simulation run module, dispatching rule generation module, simulation model generation module, and master data input module. The PCB-APS suggested in this paper considers the characteristics of the PCB lines in more details, and hence can improve the system performances significantly.

기어설계 자동화 시스템에 관한 연구

A computer aided expert system for spur, helical, bevel and worm gears was newly developed by using AutoCAD system and its AutoLISP computer language in the present study. Two methods are available for a designer to draw a gear. The first method needs the gear design parameters such as pressure, module, number of tooth, shaft angle, velocity, materials, etc. When the gear design parameters are inputted, a gear is drawn in AutoCAD system and maximum allowable power and shaft diameter are calculated additionally. The second method calculates all dimensions and gear design parameters to draw a gear when the information such as transmission, reduction ratio, rpm, materials and pressure are inputted. The system includes four programs. Each program is composed of a data input module, a database module, a strength calculation module, a drawing module, a text module and a drawing edit module. In conclusion, the CAD system would be widely used in companies to tind the geometric data and manufacturing course.

An Object Oriented Process Planning System for Rotational Components

This study presents an object oriented approach for the development of a process planning system for axis symmetric rotational components. The system consists of two modules: Part design data and manufacturing data input module and Object oriented process planning module (OOPP). Part data input module is created in customised AutoCAD environment. All the information about the input in the AutoCAD can be exported as DXF output file. DXF output file is automatically postprocessed in OOPP module to create object classes according to the input from this module. These classes are used by the sub modules: e.g., extraction of machinable volumes, setup planning, sequencing of operations, machine selection, tool selection and machining time calculation.

The development of the off-line measurement planning system for inspection automation

Measurement by a coordinate measuring machine (CMMs) has placed the main reliance on individual tolerances based on features such as arc, circle, cone, cylinder, line, plane, sphere, etc. However, the tolerances cannot be interpreted by individual features only and must take into account relationships with other features. For this reason, measurement and inspection should be carried out based not on features, but on geometric tolerances. To inspect parts automatically with respect to geometric tolerances, an off-line system is needed to establish measurement plans and to control inspection procedures. Further, for the correct estimation of form errors of geometric tolerances, statistical determination for the number of probing points is required. In this research, we developed three modules for the off-line measurement and inspection system. They are (1) the data input module, (2) the measurement planning module, and (3) the statistical analysis module. The scope of the geometric tolerances is limited to the position tolerance. This system has been constructed based on a solid modeller called CIMCAD-3D which operates in the SUN SPARC workstation.

Wide-band computer input module

A method and algorithm of adaptive frequency measurements, and the flow diagram of a wide band adaptive computer data input module with frequency range from 7.6 mHz to 64.54 MHz are described.

Use of Mathematical Decomposition to Optimize Investments in Gas Production and Distribution

Summary This paper presents an analytical approach based upon the decomposition method of mathematical programming for determining the optimal investment sequence in each year of a planning horizon for a group of reservoirs that produce gas and gas liquids through a trunk-line network and a gas processing plant. The paper describes the development of the simulation and investment planning system (SIPS) to perform the required calculations. Net present value (NPV) is maximized with the requirement that the incremental present value ratio (PWPI) of any investment in any reservoir be greater than a specific minimum value. A unique feature is a gas reservoir simulation model that aids SIPS in evaluating field development investments. The optimal solution supplies specified dry gas offtake requirements through time until the remaining reserves are insufficient to meet requirements economically. The sales value of recovered liquids contributes significantly to NPV, while the required spare gas-producing capacity reduces NPV. SIPS was used successfully for 4 years to generate annual investment plans and operating budgets, and to perform many special studies for a producing complex containing over 50 reservoirs. This experience is reviewed. In considering this large problem, SIPS converges to the optimal solution in 10 to 20 iterations. The primary factor that determines this number is how good the starting guess is. Although SIPS can generate a starting guess, beginning with a previous optimal solution ordinarily results in faster convergence. Computing time increases in proportion to the number of reservoirs because more than 90% of computing time is spent solving the reservoir subproblems. Introduction SIPS's modularization reflects the structure of the solution process. The modules include the data input module (DATM), the systems integration module (SIM, the coordinator), the linearized field development module (LDFM), the field development module (FDM), the simple reservoir model (SRM), the trunkline optimization module (TOM), the reservoir/demand integration model (RDI), and the cash flow module (SIPSCF). The technical advance presented is the adaptation and use of the decomposition method of mathematical programming to determine optimal gasfield development and production plans. We sketch SIPS's computer layout and examine its two operational modes, the optimization mode and the simulation mode. Then, we explain how the decomposition method is adapted in the optimization mode; mathematical details are given in the Appendix. The two primary functions of the simulation mode are to translate results of the optimization mode into useful planning reports and to allow sensitivity studies of minor variations to optimal plans to be carried out quickly. SIPS is an effective planning tool because its cash flow projections are based on realistic predictions of deliverability vs. cumulative recovery in the gas reservoirs considered. Our experience shows that, with SIPS, knowledgeable planning personnel can generate annual budgets and plans, and derive answers to a variety of specific management questions in a timely manner. SIPS's Architecture The physical system for which SIPS determines activities over a planning horizon of 25 years extends from the raw gas in the reservoir to finished gas and liquids exiting from the gas processing plant. During each year, physical effects in three areas are accounted for. In Reservoir j, SIPS considers pj (in each region) vs., cumulative production; gas production capacity (and rate) vs. nw, pj, and pwf; gas flow rate between regions vs. pj in adjacent regions; ?p across the field separator; separator overhead and bottoms flow rate vs,. total raw gas flow rate; separator overhead burned as field fuel; separator overhead rate vs. pwh, ?p, and pd (without compression); and separator overhead rate vs. ps, pd, PH1, and PH2 (with compression). In the trunkline, SIPS considers gas flow rate vs. capacity in each segment; capacity vs. ds of new segments; capacity vs. fraction looped (existing segments only); flow direction in each segment; and total flow rate to provide gas sales, plant fuel, and spare capacity.