Automatic Selection System Research Articles

Automatic selection system of the building orientation based on double-layer priority aggregation multi-attribute decision-making

Automatic selection system of the building orientation based on double-layer priority aggregation multi-attribute decision-making

SYSTEM FOR AUTOMATIC SELECTION OF THE SPEED RATE OF ELECTRIC VEHICLES FOR REDUCING THE POWER CONSUMPTION

Purpose. The work is aimed to design a system for automatic selection of the optimal traffic modes and automatic monitoring of the electric energy consumption by electric transport. This automatic system should provide for the minimum energy expenses. Methodology. Current methodologies: 1) mathematical modeling of traffic modes of ground electric vehicles; 2) comparison of modelling results with the statistical monitoring; 3) system development for automatic choice of traffic modes of electric transport with minimal electrical energy consumptions taking into account the given route schedules and the limitations imposed by the general traffic rules. Findings. The authors obtained a mathematical dependency of the energy consumption by electric transport enterprises on the monthly averaged environment temperature was obtained. A system which allows for an automatic selection of the speed limit and provides automatic monitoring of the electrical energy consumption by electric vehicles was proposed in the form of local network, which works together with existing GPS system. Originality. A mathematical model for calculating the motion curves and energy consumption of electric vehicles has been developed. This model takes into account the characteristic values of the motor engine and the steering system, the change of the mass when loading or unloading passengers, the slopes and radii of the roads, the limitations given by the general traffic rules, and other factors. The dependency of the energy consumption on the averaged monthly environment temperature for public electric transport companies has been calculated. Practical value. The developed mathematical model simplifies the calculations of the traffic dynamics and energy consumption. It can be used for calculating the routing maps, for design and upgrade of the power networks, for development of the electricity saving measures. The system simplifies the work of the vehicle driver and allows reducing the energy consumption, also provides for an automatic energy cost monitoring. The calculated dependency of the energy consumption on the environment temperature may be used for an improvement of methods which regulate the work of the public electric transport companies. It has been proved that there is a possibility for reducing electrical energy consumption by 10% to 45% using the efficient motion regimes. Author’s certificate was obtained for the invention of the system for an automatic selection of the velocity regime for a public electric transport vehicle.

Selective spraying of grapevines for disease control using a modular agricultural robot

Due to their recognised role in causing environmental pressures, the need to reduce production costs and public concerns over the healthfulness of fresh products and food, reducing pesticide use in agriculture is a major objective. In current farming practice, pesticides are typically applied uniformly across fields, despite many pests and diseases exhibiting uneven spatial distributions and evolving around discrete foci. This is the fundamental rationale for implementing the selective targeting of pesticide applications such that pesticides are deposited only where and when they are needed and at the correct dose. This approach is explored using the example of powdery mildew on grape vines controlled by means of a modular agricultural robot developed within the EU-project CROPS. The CROPS manipulator was configured to six degrees of freedom and equipped with a new precision-spraying end-effector with an integrated disease-sensing system based on R-G-NIR multispectral imaging. The robotic system was tested on four different replicates of grapevine canopy plots (5 m in length × 1.8 m in height) prepared in a greenhouse setup by aligning potted plants exhibiting different levels of disease. The results indicate that the robot was able to automatically detect and spray from 85% to 100% of the diseased area within the canopy and to reduce the pesticide use from 65% to 85% when compared to a conventional homogeneous spraying of the canopy. This work, to the best of our knowledge, is the first using a totally automatic selective system for spraying of diseases in specialty crops.

Technical Solutions for Automating Selection in a Balanced Power Region of a Thermal Power Plant Cross-Linked by Steam

Approaches to organizing a system for automatic selection in a balanced power region when there are deep frequency reductions in a thermal power station, cross-linked by steam, are considered, using the example of the Omsk thermal power plant TETs-4 (Omsk TETs-4). Modes of operation of the power plant and of the power system for parallel operation with the United Power System, and also when there is a loss of connection at a junction substation, are analyzed. The results of modeling of the characteristic winter/summer modes of operation are presented, and the effectiveness of using automation of the selection of the power plant in a balanced power region based on a model of the power system is shown.

Application of the dual-tagging gene trap method combined with a novel automatic selection system to identify genes involved in germ cell development inDrosophila melanogaster

The passage of highly specialized germ cells to future generations is essential for the maintenance of species. To date, conventional genetic screens identified relatively few genes that are involved in germ cell development. We aimed to identify germ line specific genes on the X chromosome of Drosophila melanogaster by the application of a new method: the dual-tagging gene-trap system (GT). A modified version of the gene-trap element was used in our experiments and the resulting insertional mutants were screened for grandchild-less phenotype with the help of the attached-X system and a sensitized genetic background developed in our laboratory. Among the 800 insertions mapped to the X chromosome 33 new mutations were identified that exhibited grandchild-less phenotype, 6 gave visible phenotype and 12 were conditional lethal. The cloning of a selected group of the 33 lines showing grandchild-less phenotype confirmed that we have identified new candidates for genes involved in germ cell development. One of them named pebbled (peb) is discussed in details in this paper. Finally, we also describe a novel automatic selection system developed in our laboratory which enables the extension of the GT mutagenesis to the autosomes.

웹기반교육에서의 자동 문제 출제 시스템

인터넷이 교육분야에도 활발히 사용되면서 자료검색부터 동영상 강의 나아가 인터넷을 통해 실시간으로 시험을 치르고 있다. 웹을 이용한 원격시험에 출제되는 문제들은 대부분 고정출제나 문제은행방식을 이용한 무작위 출제방식을 사용하고 있다. 본 논문의 문제은행시스템은 마크업 언어를 모르더라도 문제를 제작할 수 있으며, 웹 상에서 시험을 치르고난 후 정답률에 기초하여 난이도를 자동으로 재조정할 수 있다. 또한 학습자는 시험이 끝난뒤 피드백 학습을 할 수 있으며, 학습 후에는 학습자가 스스로 난이도를 조정하여 재시험을 치를 수 있게 하였다. 자동난이도 출제 방식은 출제가 간편해지며 평가의 예상평균점수를 미리 예측하고 시험결과가 계속 문항마다 누적되어 이를 바탕으로 출제되는 문제가 너무 쉽게 또는 너무 어렵게 출제되는 것을 막을 수 있다. 또한 원격시험은 대리시험 등 부정의 소지가 많아 유형이 다른 문제를 출제하게 되는데 여기서 오는 형평성 문제를 극복할 수 있게 된다. Internet has been applied to the educational field such as data search, lecture by motion picture, realtime examination. Most questions made for these remote examinations use methods of making questions randomly using fixed questions or item pools. The designed system in this paper makes questions without knowing MARK-UP language and after undergoing examinations on Web. Also it readjusts degree of difficulty automatically on the basis of the rate of correct answers. In addition, this enables learners to perform feedback learning after examinations and subsequently learners themselves to adjust their degree of difficulty and undergo reexaminations. The automatic selection system makes it easy to select questions, possible to expect average marks and number of questions made, and to prevent that questions may be made too easy or too hard. For a remote examination, as there are much possibilities of dishonesty such as examination by proxy so different types of problems are made, and problems of the rationality caused from that can be avoided.

Selecting ANN structures to find transmission faults

Programming models based on artificial neural networks (ANN) have seen increased usage. ANNs are used in various fields (industry, medicine, finance, or new technology, among others). There is a wide range of possible power system applications of neural networks in operation and control processes, including stability assessment, security monitoring, load forecasting, state estimation, load flow analysis, contingency analysis, emergency control actions, HVDC system design, etc. This article features an automatic system that selects the most adequate ANN structure to solve any type of problem. The ANN Automatic Selection System (SARENEUR) was implemented in a specific case in order to obtain a neural network structure that shows better results in fault location within a two-terminal transmission line. The fault location is obtained according to the values of steady-state voltages and currents measured at one end.

A computer-based intelligent system for automatic tool selection

This paper presents a computer-based intelligent system for the automatic selection of cutting processes and tools within a concurrent engineering environment. The main objective of the research work was to develop a procedure for the selection of cutting tools, develop a dynamic programming-based system that utilises mathematical modules and heuristic data to determine and calculate cutting parameters and total component cost. This will help the designers and manufacturing planners to select an optimal set of cutting tools and cutting conditions for different material properties and to give users alternatives on how to reduce cost and time. The system comprised of several modules; the knowledge acquisition module, the knowledge base module, the inference engine, the user interface, and the database. The developed system, which was designed to cover different component shapes including cylindrical, prismatic, different types of machining techniques, conventional and less conventional, has the potential to deal with complex products that are made up of multiple components. The system is capable of selecting cutting tools. It calculates cutting conditions and estimates component cost, based on the properties of the work piece material and features attributes, which include surface finish and tolerances, as well as using a number of production criteria such as material removal rate, tool life, machining time, and cost.

System for Automatic Selection of Operating Conditions for Inductively Coupled Plasma Atomic Emission Spectroscopy

The design of a system for automatic parameter and methodology selection for inductively coupled plasma atomic emission spectroscopy (ICP-AES) is presented. The ICP is an excellent excitation source that suffers less from matrix effects than other sources but is not altogether problem-free. To compensate, a variety of methodologies and approaches can be used to minimize matrix-induced error present in an analysis. For example, one can prepare matrix-matched standards, use standard additions or select instrumental parameters (rf power, pump rate and viewing height) specifically for the analytes of interest. Ideally, an Autonomous Instrument, operating without human intervention, needs to have the ability to determine the analytical parameters and methodology to apply to a sample. A measure of expected analytical error for a sample to be used by an Autonomous Instrument, the total interference level (TIL), is introduced. The TIL applies the results from a semiquantitative scan to a ‘lookup’ table to determine what the approximate expected error will be. It relies on a ‘conservative’ approach and assumes the effect of interferences on a particular analyte are not only linear, but additive. This approach was applied to samples with high concentrations of interferents and works well, providing acceptable estimates in 90% of analyte–interferent combinations (at 10% error tolerance). The emphasis of the discussion is placed on how well this system deals with ‘problematic’ samples,i.e. those samples where matrix effects cause considerable analytical error.

The use of Japanese keywords automatic selection system in JICST (<Special> Automatic indexing system on Japanese documents.)

The use of Japanese keywords automatic selection system in JICST (<Special> Automatic indexing system on Japanese documents.)

FIXES, a System for Automatic Selection of Set-Ups and Design of Fixtures

This paper reports on the development of a computer aided planning system for the selection of set-ups and the design of fixtures in part manufacturing. First, the bottlenecks in the present planning methods are indicated. A brief description is given of the CAPP environment PART, in which FIXES is incorporated. The planning procedure of FIXES consists of two parts: the selection of set-ups and the design of a fixture for each set-up. The automatic selection of set-ups is based on the comparison of the tolerances of the relations between the different shape elements of the part. A tolerance factor has been developed to be able to compare the different tolerances. The system automatically selects the positioning faces and supports the selection of tools for positioning, clamping and supporting the part. A prototype implementation of FIXES is discussed.