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Artificial Intelligence Based Meteorological Parameter Forecasting for Optimizing Response of Nuclear Emergency Decision Support System
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作者 BILAL Ahmed Khan HASEEB ur Rehman +5 位作者 QAISAR Nadeem MUHAMMAD Ahmad Naveed Qureshi JAWARIA Ahad MUHAMMAD Naveed Akhtar AMJAD Farooq MASROOR Ahmad 《原子能科学技术》 EI CAS CSCD 北大核心 2024年第10期2068-2076,共9页
This paper presents a novel artificial intelligence (AI) based approach to predict crucial meteorological parameters such as temperature,pressure,and wind speed,typically calculated from computationally intensive weat... This paper presents a novel artificial intelligence (AI) based approach to predict crucial meteorological parameters such as temperature,pressure,and wind speed,typically calculated from computationally intensive weather research and forecasting (WRF) model.Accurate meteorological data is indispensable for simulating the release of radioactive effluents,especially in dispersion modeling for nuclear emergency decision support systems.Simulation of meteorological conditions during nuclear emergencies using the conventional WRF model is very complex and time-consuming.Therefore,a new artificial neural network (ANN) based technique was proposed as a viable alternative for meteorological prediction.A multi-input multi-output neural network was trained using historical site-specific meteorological data to forecast the meteorological parameters.Comprehensive evaluation of this technique was conducted to test its performance in forecasting various parameters including atmospheric pressure,temperature,and wind speed components in both East-West and North-South directions.The performance of developed network was evaluated on an unknown dataset,and acquired results are within the acceptable range for all meteorological parameters.Results show that ANNs possess the capability to forecast meteorological parameters,such as temperature and pressure,at multiple spatial locations within a grid with high accuracy,utilizing input data from a single station.However,accuracy is slightly compromised when predicting wind speed components.Root mean square error (RMSE) was utilized to report the accuracy of predicted results,with values of 1.453℃for temperature,77 Pa for predicted pressure,1.058 m/s for the wind speed of U-component and 0.959 m/s for the wind speed of V-component.In conclusion,this approach offers a precise,efficient,and wellinformed method for administrative decision-making during nuclear emergencies. 展开更多
关键词 prediction of meteorological parameters weather research and forecasting model artificial neural networks nuclear emergency support system
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Evaluation of G3BP1 in the prognosis of acute and acute-on-chronic liver failure after the treatment of artificial liver support system
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作者 Wen-Yuan Li Lu-Wen Wang +1 位作者 Jin Dong Yao Wang 《World Journal of Hepatology》 2024年第2期251-263,共13页
BACKGROUND The increased expression of G3BP1 was positively correlated with the prognosis of liver failure.AIM To investigate the effect of G3BP1 on the prognosis of acute liver failure(ALF)and acute-on-chronic liver ... BACKGROUND The increased expression of G3BP1 was positively correlated with the prognosis of liver failure.AIM To investigate the effect of G3BP1 on the prognosis of acute liver failure(ALF)and acute-on-chronic liver failure(ACLF)after the treatment of artificial liver support system(ALSS).METHODS A total of 244 patients with ALF and ACLF were enrolled in this study.The levels of G3BP1 on admission and at discharge were detected.The validation set of 514 patients was collected to verify the predicted effect of G3BP1 and the viability of prognosis.RESULTS This study was shown that lactate dehydrogenase(LDH),alpha-fetoprotein(AFP)and prothrombin time were closely related to the prognosis of patients.After the ALSS treatment,the patient’amount of decreased G3BP1 index in difference of G3BP1 between the value of discharge and admission(difG3BP1)<0 group had a nearly 10-fold increased risk of progression compared with the amount of increased G3BP1 index.The subgroup analysis showed that the difG3BP1<0 group had a higher risk of progression,regardless of model for end-stage liver disease high-risk or low-risk group.At the same time,compared with the inflam matory marks[tumor necrosis factor-α,interleukin(IL)-1βand IL-18],G3BP1 had higher discrimination and was more stable in the model analysis and validation set.When combined with AFP and LDH,concordance index was respectively 0.84 and 0.8 in training and validation cohorts.CONCLUSION This study indicated that G3BP1 could predict the prognosis of ALF or ACLF patients treated with ALSS.The combination of G3BP1,AFP and LDH could accurately evaluate the disease condition and predict the clinical endpoint of patients. 展开更多
关键词 G3BP1 PROGNOSIS Acute liver failure Acute-on-chronic liver failure Artificial liver support system
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The Support Systems and Coping Strategies of Infertile Women Attending the Out-Patient Consultation Unit of CHRACERH Yaoundé, Cameroon: A Cross-Sectional Study
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作者 Emenguele Pascale Mpono Fidelia Mbi Kobenge +3 位作者 Gabrielle Laure Mengne Etienne Belinga Jean Marie Kasia Thomas Obinchemti Egbe 《Open Journal of Obstetrics and Gynecology》 2024年第6期869-887,共19页
Background: Infertility is a complex disorder with significant psycho-social and economic consequences. It globally affects 10% - 15% of couples. In Cameroon, little is known about what women do to overcome the psycho... Background: Infertility is a complex disorder with significant psycho-social and economic consequences. It globally affects 10% - 15% of couples. In Cameroon, little is known about what women do to overcome the psychosocial aspects of the disease. Objectives: This study aimed to identify the support systems and coping strategies of infertile women attending the outpatient consultation unit of the Gynaecological Endoscopic Surgery and Reproductive Teaching Hospital (CHRACERH), Yaoundé, Cameroon. Methods: A hospital-based cross-sectional study was conducted from the 14th of March to the 6th of April 2023 at CHRACERH Yaoundé. A total of 190 participants were recruited using a convenience sampling method. Data regarding socio-demographic characteristics, support systems and coping strategies were collected using a pretested questionnaire. Descriptive and analytic statistics were conducted using SPSS version 25. Results: The mean age of participants was 39.52 ± 7.64 years. The majority 78.9% of participants were workers (public, private sector, or traders) and were Christians 95.8%. The most common source of psychological support was from family 76.8 and husbands 72.63%. Most of the participants 89.5% resorted to prayer and getting busy 48.4% as a coping strategy. There was no statistically significant relationship between coping strategies and psychological disorders p > 0.05. Conclusion: The main support system of participants was family, husband, and friends. Prayer, getting busy and adoption were the most common coping strategies. There is a need for the Ministry of Public Health and other stakeholders to put in place other support systems and coping strategies (FELICIA) used elsewhere and provide adequate health education and infection control to prevent infertility in Cameroon. 展开更多
关键词 INFERTILITY Coping Strategies support systems Mental Health WOMEN
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Nursing Care of 10 Patients with Vasovagal Reflex Caused by Artificial Liver Support System Treatment
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作者 Yingying Zhang 《Open Journal of Nursing》 2024年第5期177-182,共6页
This study outlines the essential nursing strategies employed in the care of 10 patients experiencing vascular vagal reflex, managed with artificial liver support systems. It highlights a holistic nursing approach tai... This study outlines the essential nursing strategies employed in the care of 10 patients experiencing vascular vagal reflex, managed with artificial liver support systems. It highlights a holistic nursing approach tailored to the distinct clinical manifestations of these patients. Key interventions included early detection of psychological issues prior to initiating treatment, the implementation of comprehensive health education, meticulous monitoring of vital signs throughout the therapy, prompt emergency interventions when needed, adherence to prescribed medication protocols, and careful post-treatment observations including venous catheter management. Following rigorous treatment and dedicated nursing care, 7 patients demonstrated significant improvement and were subsequently discharged. 展开更多
关键词 Vasovagal Reflex Artificial Liver support system Nursing Care
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Applying the Technology Acceptance Model (TAM) in Information Technology System to Evaluate the Adoption of Decision Support System
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作者 Md Azhad Hossain Anamika Tiwari +3 位作者 Sanchita Saha Ashok Ghimire Md Ahsan Ullah Imran Rabeya Khatoon 《Journal of Computer and Communications》 2024年第8期242-256,共15页
With the beginning of the information systems’ spreading, people started thinking about using them for making business decisions. Computer technology solutions, such as the Decision Support System, make the decision-... With the beginning of the information systems’ spreading, people started thinking about using them for making business decisions. Computer technology solutions, such as the Decision Support System, make the decision-making process less complex and simpler for problem-solving. In order to make a high-quality business decision, managers need to have a great deal of appropriate information. Nonetheless, this complicates the process of making appropriate decisions. In a situation like that, the possibility of using DSS is quite logical. The aim of this paper is to find out the intended use of DSS for medium and large business organizations in USA by applying the Technology Acceptance Model (TAM). Different models were developed in order to understand and predict the use of information systems, but the information systems community mostly used TAM to ensure this issue. The purpose of the research model is to determine the elements of analysis that contribute to these results. The sample for the research consisted of the target group that was supposed to have completed an online questionnaire about the manager’s use of DSS in medium and large American companies. The information obtained from the questionnaires was analyzed through the SPSS statistical software. The research has indicated that, this is primarily used due to a significant level of Perceived usefulness and For the Perceived ease of use. 展开更多
关键词 Information Technology Decision support system Business Organization in USA Technology Acceptance Model
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Design and Implementation of the Employment Management Decision Support System based on Machine Learning
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作者 Zhigang Ma 《Journal of Electronic Research and Application》 2024年第5期134-140,共7页
To address the challenges of current college student employment management,this study designed and implemented a machine learning-based decision support system for college student employment management.The system coll... To address the challenges of current college student employment management,this study designed and implemented a machine learning-based decision support system for college student employment management.The system collects and analyzes multidimensional data,uses machine learning algorithms for prediction and matching,provides personalized employment guidance for students,and provides decision support for universities and enterprises.The research results indicate that the system can effectively improve the efficiency and accuracy of employment guidance,promote school-enterprise cooperation,and achieve a win-win situation for all parties. 展开更多
关键词 Machine learning Employment of college students Decision support system Data analysis
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Artificial Intelligence Enabled Decision Support System on E-Healthcare Environment
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作者 B.Karthikeyan K.Nithya +1 位作者 Ahmed Alkhayyat Yousif Kerrar Yousif 《Intelligent Automation & Soft Computing》 SCIE 2023年第5期2299-2313,共15页
In today’s digital era,e-healthcare systems exploit digital technologies and telecommunication devices such as mobile devices,computers and the inter-net to provide high-quality healthcare services.E-healthcare decis... In today’s digital era,e-healthcare systems exploit digital technologies and telecommunication devices such as mobile devices,computers and the inter-net to provide high-quality healthcare services.E-healthcare decision support sys-tems have been developed to optimize the healthcare services and enhance a patient’s health.These systems enable rapid access to the specialized healthcare services via reliable information,retrieved from the cases or the patient histories.This phenomenon reduces the time taken by the patients to physically visit the healthcare institutions.In the current research work,a new Shuffled Frog Leap Optimizer with Deep Learning-based Decision Support System(SFLODL-DSS)is designed for the diagnosis of the Cardiovascular Diseases(CVD).The aim of the proposed model is to identify and classify the cardiovascular diseases.The proposed SFLODL-DSS technique primarily incorporates the SFLO-based Feature Selection(SFLO-FS)approach for feature subset election.For the pur-pose of classification,the Autoencoder with Gated Recurrent Unit(AEGRU)model is exploited.Finally,the Bacterial Foraging Optimization(BFO)algorithm is employed tofine-tune the hyperparameters involved in the AEGRU method.To demonstrate the enhanced performance of the proposed SFLODL-DSS technique,a series of simulations was conducted.The simulation outcomes established the superiority of the proposed SFLODL-DSS technique as it achieved the highest accuracy of 98.36%.Thus,the proposed SFLODL-DSS technique can be exploited as a proficient tool in the future for the detection and classification of CVD. 展开更多
关键词 E-HEALTHCARE decision support system cardiovascular disease feature selection deep learning
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An Intelligent Decision Support System for Lung Cancer Diagnosis
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作者 Ahmed A.Alsheikhy Yahia F.Said Tawfeeq Shawly 《Computer Systems Science & Engineering》 SCIE EI 2023年第7期799-817,共19页
Lung cancer is the leading cause of cancer-related death around the globe.The treatment and survival rates among lung cancer patients are significantly impacted by early diagnosis.Most diagnostic techniques can identi... Lung cancer is the leading cause of cancer-related death around the globe.The treatment and survival rates among lung cancer patients are significantly impacted by early diagnosis.Most diagnostic techniques can identify and classify only one type of lung cancer.It is crucial to close this gap with a system that detects all lung cancer types.This paper proposes an intelligent decision support system for this purpose.This system aims to support the quick and early detection and classification of all lung cancer types and subtypes to improve treatment and save lives.Its algorithm uses a Convolutional Neural Network(CNN)tool to perform deep learning and a Random Forest Algorithm(RFA)to help classify the type of cancer present using several extracted features,including histograms and energy.Numerous simulation experiments were conducted on MATLAB,evidencing that this system achieves 98.7%accuracy and over 98%precision and recall.A comparative assessment assessing accuracy,recall,precision,specificity,and F-score between the proposed algorithm and works from the literature shows that the proposed system in this study outperforms existing methods in all considered metrics.This study found that using CNNs and RFAs is highly effective in detecting lung cancer,given the high accuracy,precision,and recall results.These results lead us to believe that bringing this kind of technology to doctors diagnosing lung cancer is critical. 展开更多
关键词 Lung cancer artificial intelligence CNN computer-aid diagnosis HISTOGRAM image segmentation decision support systemv
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Assessing Suitability of Irrigation Scheduling Decision Support Systems for Lowland Rice Farmers in Sub-Saharan Africa—A Review
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作者 Aloysius Mubangizi Joshua Wanyama +1 位作者 Nicholas Kiggundu Prossie Nakawuka 《Agricultural Sciences》 CAS 2023年第2期219-239,共21页
Irrigation in lowland rice production systems in Sub-Saharan Africa (SSA) is mainly based on traditional surface irrigation methods with continuous flooding practices. This irrigation method ends up using a lot more w... Irrigation in lowland rice production systems in Sub-Saharan Africa (SSA) is mainly based on traditional surface irrigation methods with continuous flooding practices. This irrigation method ends up using a lot more water that would have otherwise been used to open more land and be used in other water-requiring sectors. Various studies suggest Alternate Wetting and Drying (AWD) as an alternative practice for water management that reduces water use without significantly affecting yield. However, this practice has not been well adopted by the farmers despite its significant benefits of reduced total water use. Improving the adoption of AWD using irrigation Decision Support Systems (DSSs) helps the farmer on two fronts;to know “how much water to apply” and “when to irrigate”, which is very critical in maximizing productivity. This paper reviews the applicability of DSSs using AWD in lowland rice production systems in Sub-Saharan Africa. 展开更多
关键词 Lowland Rice Irrigation Scheduling Forecasting Decision support systems Rice Production Farmer-Led Irrigation AWD
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Intervention Research and Support Systems for People Affected by Cancer and Their Families:Results of a Descriptive Analysis
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作者 Anne-Fleur Guillemin Iris Cervenka Jérôme Foucaud 《Psycho-Oncologie》 SCIE 2023年第3期113-121,共9页
Population health intervention research(PHIR)was initiated in the field of primary prevention by proposing a research paradigm focusing on intervention and the theory of solutions.The intervention was coconstructed wi... Population health intervention research(PHIR)was initiated in the field of primary prevention by proposing a research paradigm focusing on intervention and the theory of solutions.The intervention was coconstructed with the stakeholders as part of a global approach until its deployment in the local area.The development of PHIR raises the question of its application to tertiary prevention.This study proposes some initial thoughts on the similarities and specificities of PHIR projects-funded by the French National Cancer Institute(INCa)-of support systems for people affected by cancer and their families,which were based on a descriptive analysis.The selected projects were obtained from the databases of PHIR projects funded from 2010 to 2021,which included 72 projects to which the inclusion and exclusion criteria were applied.A descriptive analysis was carried out for each project using the application files and the interim or final reports sent to INCa.A total of 30 projects were selected,half of which were in the public health field.Almost all of the projects involved a university–hospital partnership,and one-third involved healthcare professionals and patients in the research process.Patient involvement was classified into four types,which were linked to the supporting structure and the target population.The main themes of the projects were quality of life and adapted physical activity,which were assessed in hospitals through randomized controlled trials targeting specific cancers.Research has revealed several specificities and similarities between support systems for people affected by cancer and their families developed in PHIR projects;however,these support systems vary widely,and PHIR in tertiary prevention can be conducted in several ways.Any modeling of the systems is complicated;PHIR is evolving in its application and is the subject of research and evaluation. 展开更多
关键词 Public policy funding research support systems PARTNERS patient involvement
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Progress of clinical decision support systems in stroke nursing care
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作者 Hainan Liu Lina Qi +2 位作者 Jiaojiao Wang Bo Zhao Jiaxin Mu 《Journal of Translational Neuroscience》 2023年第1期7-11,共5页
Stroke is characterized by high incidence,high recurrence,high disability,and high morbidity and mortality in China,resulting in a heavy social and clinical burden.A clinical decision support system,as an intelli-gent... Stroke is characterized by high incidence,high recurrence,high disability,and high morbidity and mortality in China,resulting in a heavy social and clinical burden.A clinical decision support system,as an intelli-gent computer system,can assist nurses in decision-mak-ing to collect information quickly,make the most suitable personalized decisions for patients,and improve nurses’decision-making judgment and quality of care.Promoting the development and application of decision support sys-tems in stroke nursing significantly enhances the nursing staff’s work quality and patients’prognosis.Therefore,this paper reviews the research progress of domestic and international clinical decision support systems in stroke nursing care to provide other researchers with specific research directions for developing and applying decision support systems in stroke nursing care. 展开更多
关键词 clinical decision support systems STROKE nursing care
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An Intelligent Decision Support System Generator
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作者 Shi Zhenxia and Lu JukangDept. of Computer Science, Shanghai Univ. of Science and Technology, Shanghai 201800, P.R. China 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 1993年第1期45-52,共8页
The focus of this paper is on a new concept framework and an architecture of an intelligent decision support syetem generator (DSSG). The framework results from a synthesis of two existing frameworks: Spragae and Bonc... The focus of this paper is on a new concept framework and an architecture of an intelligent decision support syetem generator (DSSG). The framework results from a synthesis of two existing frameworks: Spragae and Bonczek, while the architecture is a rooted partial order network. From our experience which comes out of the project of DSSG, we consider that they are keys of further research and development of DSS. 展开更多
关键词 Decision support system Decision support system generator Intelligent decision support system AI technology Hypertext technology.
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Revisiting factors contributing to the strength of cemented backfill support system:A review
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作者 N.M.Chiloane F.K.Mulenga 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2023年第6期1615-1624,共10页
This paper provides a review of the intrinsic and extrinsic factors affecting the uniaxial compressive strength(UCS)of cemented tailings backfill(CTB).The consideration is that once CTB is poured into underground stop... This paper provides a review of the intrinsic and extrinsic factors affecting the uniaxial compressive strength(UCS)of cemented tailings backfill(CTB).The consideration is that once CTB is poured into underground stopes,its strength is heavily influenced by factors internal to the CTB as well as the surrounding mining environments.Peer-reviewed journal articles,books,and conference papers published between 2000 and 2022 were searched electronically from various databases and reviewed.Additional sources,such as doctoral theses,were obtained from academic repositories.An important finding from the review is that the addition of fibers was reported to improve the UCS of CTB in some studies while decrease in others.This discrepancy was accounted to the different properties of fibers used.Further research is therefore needed to determine the“preferred”fiber to be used in CTB.Diverging findings were also reported on the effects of stope size on the UCS of CTB.Furthermore,the use of fly ash as an alternative binder may be threatened in the future when reliance on the coal power declines.Therefore,an alternative cementitious by-product to be used together with furnace slag may be required in the future.Finally,while most studies on backfill focused on single-layered structures,layered backfill design models should also be investigated. 展开更多
关键词 Cemented tailings backfill(CTB) Uniaxial compressive strength(UCS) Extrinsic factors Intrinsic factors Underground support
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Study and Implementation on the Grey Comprehensive Evaluation Support System of Ecocity 被引量:2
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作者 黄鹍 陈森发 +1 位作者 孙燕 亓霞 《Journal of Southeast University(English Edition)》 EI CAS 2002年第4期356-360,共5页
According to basic connotation and design principles of ecocity, a comparatively integrated index system is constructed in the paper. And at the same time using hierarchy grey comprehensive evaluation method, a hierar... According to basic connotation and design principles of ecocity, a comparatively integrated index system is constructed in the paper. And at the same time using hierarchy grey comprehensive evaluation method, a hierarchy grey comprehensive evaluation model of ecocity is established, then on the basis of the model, a comprehensive evaluation support system is developed, and the theoretical guidance supplied for construction of ecocity is provided. 展开更多
关键词 ecocity index system evaluating level hierarchy grey comprehensive evaluation evaluation support system
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Method of Establishing Object-Oriented System Structure for Decision Support System 被引量:2
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作者 曹元大 胡军 管春 《Journal of Beijing Institute of Technology》 EI CAS 2002年第3期311-315,共5页
In order to solve existing problems about the method of establishing traditional system structure of decision support system(DSS), O S chart is applied to describe object oriented system structure of general DSS, an... In order to solve existing problems about the method of establishing traditional system structure of decision support system(DSS), O S chart is applied to describe object oriented system structure of general DSS, and a new method of eight specific steps is proposed to establish object oriented system structure of DSS by using the method of O S chart, which is applied successfully to the development of the DSS for the energy system ecology engineering research of the Wangheqiu country. Supplying many scientific effective computing models, decision support ways and a lot of accurate reliable decision data, the DSS plays a critical part in helping engineering researchers to make correct decisions. Because the period for developing the DSS is relatively shorter, the new way improves the efficiency of establishing DSS greatly. It also makes the DSS of system structure more flexible and easy to expand. 展开更多
关键词 decision support system object oriented technology system structure
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Method for designing organization decision support system framework 被引量:1
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作者 Fan Jiancong Liang Yongquan Zeng Qingtian 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2006年第4期764-768,共5页
The concept of organization decision support system (ODSS) is defined according to practical applications and novel understanding. And a framework for ODSS is designed. The framework has three components: infrastru... The concept of organization decision support system (ODSS) is defined according to practical applications and novel understanding. And a framework for ODSS is designed. The framework has three components: infrastructure, decision-making process and decision execution process. Infrastructure is responsible to transfer data and information. Decision-making process is the ODSS's soul to support decision-making. Decision execution process is to evaluate and execute decision results derived from decision-making process. The framework presents a kind of logic architecture. An example is given to verify and analyze the framework. The analysis shows that the framework has practical values, and has also reference values for understanding ODSS and for theoretical studies. 展开更多
关键词 terms-decision support system organization decision organization decision support system.
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Review of the creativity support system
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作者 冯勤超 范伟伟 孙锦 《Journal of Southeast University(English Edition)》 EI CAS 2007年第S1期173-178,共6页
Based on the achievements of domestic and foreign scholars,the concept of the creativity support system(CSS)is introduced and two basic characteristics of the CSS are concluded:one is based on information technology,t... Based on the achievements of domestic and foreign scholars,the concept of the creativity support system(CSS)is introduced and two basic characteristics of the CSS are concluded:one is based on information technology,the other is assisting users in creatively solving problems.Then,the rationale as well as the correlative knowledge of the creativity support system is analyzed.Finally,according to the software that has been developed,the creativity support system's characteristics of the function is discussed. 展开更多
关键词 artificial intelligence CREATIVITY COGNITION creativity support system
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Research and Application of Maize Precision Intelligence Spatial Decision Support System
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作者 王国伟 陈桂芬 +1 位作者 姚玉霞 闫丽 《Agricultural Science & Technology》 CAS 2010年第6期147-151,188,共6页
In order to solve the problem of the maze precision fertilizer,soil fertility evaluation,soil fertility classify and yield projections,the geographic information system with spatial information processing functions,sp... In order to solve the problem of the maze precision fertilizer,soil fertility evaluation,soil fertility classify and yield projections,the geographic information system with spatial information processing functions,spatial data mining techniques with spatial information analysis capabilities,expert system technology in the field of artificial intelligence,traditional information management systems and decision support system were effectively integrated in this study,and the statistical analysis method of GIS and data visualization were combined to design and implement the maize precise intelligent space decision-making system.This system had greatly improved the decision-making ability in agricultural production carried out by agricultural management. 展开更多
关键词 Maize precision operation Space data mining Decision support system Geographic information system VISUALIZATION
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Study on the Decision Support System for Northing of Winter Wheat Cultivation in Hebei Province
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作者 邹立坤 蓝岚 李小娟 《Agricultural Science & Technology》 CAS 2012年第3期630-633,637,共5页
[Objective] This study was to provide methods to improve the scientificity and informatization level of agricultural decision-making system based on the study of Decision Support System for "Northing of Winter Wheat... [Objective] This study was to provide methods to improve the scientificity and informatization level of agricultural decision-making system based on the study of Decision Support System for "Northing of Winter Wheat" in Hebei Province (DSS- NWWH). [Method] The functions, development process, operation guidance as well as input and output modes of DSSNWWH were introduced, and the simulated results of the system were verified by comparing with the actual situations. [Result] The decision support system established in this study could predict whether a wheat variety could live through the winter in a certain area of northern Hebei Province, as well as the growth conditions based on the previous meteorological data or local weather forecast, and provided corresponding cultivation and management measures, making it possible for the user to determine whether the variety could be planted in the region based on the predictions. [Conclusion] The established DSSNWWH in this study can effectively help decision makers make decisions, providing scientific instructions for the northing of winter wheat. 展开更多
关键词 Winter wheat Growing in northern region Decision support system
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SUPPORT SYSTEM FOR FREE SURFACE GRINDING BASED ON PATCH DIVISION
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作者 吴晓君 喜田羲宏 孙树栋 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 2005年第4期291-297,共7页
To obtain accurate forms and surfaces in free surface grinding, it is important to provide grinding conditions suitable for a curved surface. A grinding support system for the free surface (GSX-F) is proposed to hel... To obtain accurate forms and surfaces in free surface grinding, it is important to provide grinding conditions suitable for a curved surface. A grinding support system for the free surface (GSX-F) is proposed to help the operator grind a free surface with the high accuracy and the high productivity. To succeed in free surface grinding, the property of a ball type wheel must be known. Therefore, a basic study of free surface grinding with a ball type wheel is carried out based on the grinding center (GC). Some working points for achieving sufficient accuracy in free surface grinding are discussed. GSX-F is constructed using the patch division method and is used to test grinding. Reasonable results are obtained. 展开更多
关键词 grinding center ball type wheel support system free surface grinding patch division
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