56 results about "Management practices" patented technology

A compliance lifecycle management system is provided that addresses policy management issues at each stage of policy maturity throughout a policy lifetime. The compliance lifecycle management system provides functionality for policy control at initialization by enabling specification and creation of policies including identifying redundant and sub / super sets of policies across domains. As an infrastructure and its associated policies mature and change, the compliance lifecycle management system monitors compliance to dynamic policies to check for policy conflicts. The compliance management process may further be used to simulate the introduction of policies into the infrastructure to view the resultant impact that a new or updated policies may have on a network. With such an arrangement, policy management practices become more responsive, predictable and efficient.

The embodiments herein provide a system and method for improving employee performance and engagement at the workplace. The embodiments herein employ gamification and predictive analytics to improve employee performance and engagement at the workplace. The system includes an action tracking module, a gamified performance management module, and a gamified learning module. The system provides a metric to measure employee engagement (measured through activity and impact points) and reward the employees accordingly. The system enables overall transparency and monitoring of input and output metrics. Further, the system brings together peer feedback, senior management feedback, advanced analytics, learning and knowledge levels and self-management practices (such as personalized goal-setting) onto a common platform, thus serving to be a comprehensive new age performance management system.

Health care administration methods are disclosed that substantially conserve the utilization of health care resources available to care for a specified patient population. Initially, a patient population is generated whereby each patient therein is assigned a risk based upon a retrospective and postspective assessment of the patient. Once the patient population is generated, utilization management practices are implemented that restrict utilization of health care resources without adversely impacting clinical outcome or quality of care until such utilization of resources is deemed medically warranted. A network of health care providers and health care providing institutions administers health care to the population according to methods of the present invention based upon primary care decision making practices utilizing the most cost-effective management practices and minimizing the use of specialists and in-patient / out-patient services whenever applicable.

A compliance lifecycle management system is provided that addresses policy management issues at each stage of policy maturity throughout a policy lifetime. The compliance lifecycle management system provides functionality for policy control at initialization by enabling specification and creation of policies including identifying redundant and sub / super sets of policies across domains. As an infrastructure and its associated policies mature and change, the compliance lifecycle management system monitors compliance to dynamic policies to check for policy conflicts. The compliance management process may further be used to simulate the introduction of policies into the infrastructure to view the resultant impact that a new or updated policies may have on a network. With such an arrangement, policy management practices become more responsive, predictable and efficient.

A forecast-integrated automated control system for combined greywater-stormwater storage and reuse. A simple and reliable approach for managing greywater and stormwater collection at a household or community level is provided, allowing for the near-continuous monitoring and adjustment of water quantity and quality in a combined greywater-stormwater storage tank based on monitored feedback / output from individual, tank-specific sensors and / or sensors located elsewhere in the water collection system. Use of the forecast-integrated automated control system for combined greywater-stormwater storage and reuse enables optimization of the water quality and quantity collected in the storage tank, reduce the amount of stormwater discharged to municipal sewers, and assure / demonstrate regulatory compliance for control of stormwater runoff through the integration of a low impact development best management practices.

A system, methodology, and programming logic for active stormwater controls to optimize sizing and design of Hydromodification Management (HM) structural Best Management Practices (BMPs) to achieve optimal flow duration control. Control logic enables the controlled release of stormwater from a BMP in a manner most akin to pre-development flow duration curves. Inputs to this logic include: flow duration curves based on continuous hydrologic simulation for pre- and post-development conditions; real-time measurement of water level within the BMP; and real-time measurement of discharge entering the BMP. This control logic can interact with control logic for other stormwater management objectives, such as harvest and reuse, infiltration, and combined sewer overflow prevention, and respective inputs, such as real-time weather forecast data, precipitation gage data, downstream flow gauge data, and water quality data, to meet those design objectives as well. New HM BMPs can be optimized to be smaller and, thus, more feasible to implement. Existing stormwater facilities designed for flood control or other management objectives can be retrofitted to provide hydromodification control as well. When utilized with real-time flow and water level monitoring equipment and data, the flow release logic can be adaptively adjusted without physical retrofit of the BMP's outlet.

A method and system is provided in an adaptive framework for modeling livestock growth. The adaptive framework processes input data relative to livestock growth in an ensemble of one or more models and an artificial intelligence layer configured to select the most appropriate or primary model to optimize, predict, and recommend livestock feed operations based upon environmental, physiological, location and time variables within such input data. The adaptive framework also optimizes workflow by pen and by producer, based upon historical performance, gender and breed and the management practices of the producer.

The invention discloses a Jiuqian plum tree engrafting and cultivating method, comprising the following steps: planting the cultivated annual bitter plum rootstock seedlings in the seedlings-raising land in rows, in each December to establish a bitter plum free-stock nursery; selecting the bearing tree vegetative-shoots of Jiuqian plum trees as the scion cultivation stock trees to establish a scion nursery; collecting the vegetative shoots on the scion stock trees as scions to engraft in the middle ten days of next February; promoting the growth and harvest of the Jiuqian plum tree using management practices, plant growth regulator, shaping and trimming. The engrafting and cultivating method can stunt the Jiuqian plum trees, reduce the juvenile phase, advance the harvest phase, increase the yield and realize the scale planting.

The invention discloses a ground-to-air call data analysis method and a ground-to-air call data analysis system based on voice recognition. The method comprises the steps of continuously collecting and storing ground-to-air call voice data and radar data by means of an air traffic control recorder; converting into a wav format file through adaptive decoding; intercepting a complete statement to form a voice file through an endpoint detection technology based on deep learning; converting the voice file into text information through an air traffic control voice recognition model based on deep learning; determining control instruction intention and parameters through an air traffic control semantic understanding model based on deep learning; and performing ground-air call data analysis such as voice and instruction data statistical analysis, monitoring data and voice synchronous playback, key monitoring and the like based on each generated file. According to the method provided by the invention, the efficiency and accuracy of ground-air call data analysis work are comprehensively improved. The problem that during the air traffic control safety management practice, the control commandquality evaluation and the after-event analysis are carried out by completely relying on manual listening, recording, query and statistical analysis of ground-air calls is solved.

Vegetation control plans may be automatically generated using vegetation control information received from a variety of sources. Such vegetation control plans may aid farmers, other vegetation control personnel, and professionals when determining a vegetation control strategy, including treatment, and then guide the implementation of that strategy. Vegetation control plans may include a variety of recommended vegetation control practices and projected outcomes for the implementation of recommended vegetation control management practices.

The invention discloses a city park public service performance evaluation and optimization method and the city park green area and public service facility planning and management field. According to the method, improving the city public green area resource service level is taken as the target, city park public service performance indexes and state magnitude values of other factors are taken as media, from three aspects of park service performance evaluation, performance function mechanisms and an optimization adjusting method, in combination with form characteristics of city parks, reachable conditions and crowd park touring habits, evaluation-adjustment association between park user goal intentions and manager optimization adjusting measures is established, evaluation is guided based on detection, adjustment is carried out based on the evaluation result, optimization design and management practices of existing city park green areas are guided, and a blank of quantitative city park optimization adjustment operation is filled.

The invention relates to a service analysis based automatic test case generation system and method. The service analysis based automatic test case generation system comprises a service analysis layer for determining the will of service achievement and clarifying a judgement criterion of the system, a system structure analysis layer for analyzing program elements, operating timing sequence and a detection object of a tested system and clarifying a program verification model for system testing, a testing design layer for performing test point analysis management and test data analysis management, an automatic test case generation engine for converting tested and analyzed data into test cases. By the adoption of the system and method, the problem that business personnel do not know techniques and accordingly 'demand distortion' of software design is caused, and the phenomenon that software function design does not meet the demand of service intent and accordingly frequent reworking is caused is avoided. The process behaviors of service, design and testing analysis are recorded through unified management practices and sediment to form properties of the software design process, and the service analysis based automatic test case generation system has a wide application range.

The invention discloses a monitoring operation and maintenance system of a cloud data center based on an ITIL. The monitoring operation and maintenance system comprises a monitoring module and an operation and maintenance management module, the monitoring module is used for monitoring basic resource information of the cloud data center to obtain fault information, and sending the fault information to the operation and maintenance management module; the operation and maintenance management module is used for processing the fault information through an ITIL routing plan. According to the monitoring operation and maintenance system of the cloud data center based on the ITIL, through a mode combining the monitoring module and the operation and maintenance management module, the relation between the monitoring module and the operation and maintenance management module is improved, and various resources of the cloud data center can be integrated; by exerting the ITIL routing plan in the operation and maintenance management module, superior ITIL management practices can be referred to; by combining service process management, standardization of a monitoring, operation and maintenance management system of the cloud data center can be effectively guided, the service support capacity and level of a cloud platform are improved, and the user experience degree is improved.

Invasive species control plans may be automatically generated using vegetation control information received from a variety of sources. Such invasive species control plans may aid vegetation control personnel and professionals when determining an invasive species control strategy, including treatment and restoration, and then guide the implementation of that strategy. Invasive species control plans may include a variety of recommended vegetation control practices and projected outcomes for the implementation of recommended vegetation control management practices.

The embodiment of the invention provides an intelligent water affair management method and system based on deep learning. The method comprises the following steps: constructing a water affair management feature set through existing water affair management data; Constructing a deep learning network based on the water affair management feature set; Collecting real-time water affair data, importing the real-time water affair data into the deep learning network, and predicting a water affair management risk; And performing water affair management according to the water affair management risk. According to the intelligent water affair management method and system based on deep learning, by combining the water affair management practice method and the deep learning characteristics, the water affair management efficiency is improved, and the labor amount of water affair management personnel is reduced.

The invention discloses a hazardous chemical prohibition intelligent identifying and decision supporting method comprising a hazardous chemical information database and a prohibition intelligent identifying system. The hazardous chemical information database has an online updating mechanism and can update information in real time according to the latest hazardous chemical files of the United Nations, and the prohibition intelligent identifying system is based on governmental safe production, supervision and management and is suitable for the law execution inspection and the enterprise inspection of governmental supervision departments. An application method based on the prohibition intelligent identifying system is constructed according to the practical needs to solve the problem of applying the hazardous chemical information database to the practice of the safe production, supervision and management. The method has the advantages of simple operation, strong functions, good practicability, novelty and advancement because of no correlative reports in national novelty retrieval.

This invention relates to a process to improve the feed efficiency and carcass characteristics of (1) animals that are not showing clinical signs of disease or other microbial challenge and (2) animals that are not expected to show clinical signs of disease or other microbial challenge (that is, within the next 1-2 weeks or less) because of known management practices, such as weaning of piglets. The process of this invention can be used to decrease the cost of animal diets, to improve performance of animals and to improve the percentage of carcass in animals.

A risk assessment method for carbon emission reduction of power grid companies based on fuzzy comprehensive evaluation. It includes constructing a comprehensive evaluation index system of carbon emission reduction risk of power grid companies, and then obtaining the weight vector of the second and third level evaluation indexes by AHP. Set comments and their corresponding scores; the evaluation subordinate matrix is constructed according to the set of comments and their corresponding scores. According to the comprehensive evaluation index weight vector and evaluation subordinate matrix as wellas the set of comments, the carbon emission reduction risk assessment results of power grid companies are obtained. The carbon emission reduction risk assessment method of the power grid company based on the fuzzy comprehensive evaluation provided by the invention can be applied in the carbon emission management practice of the power grid company, can effectively identify the carbon emission riskof the power grid company, and lays a foundation for the risk prevention and risk control measures of the power grid company.

An intelligent multi-span greenhouse mushroom house remote control system comprises a first production line, a second production line, a first wireless network control system, a second wireless network control system, a first data control system, a second data control system, a central server and a monitoring command center system. The intelligent multi-span greenhouse mushroom house remote control system achieves intelligent remote control, can reflect real-time conditions of all mushroom houses relatively intensively, facilitates centralized control, reduces the times of manual troubleshooting, saves cost, greatly shortens management practice of technical production, and well serves production.

The invention discloses a water conservation forest density configuration method based on soil moisture vegetation carrying capacity. The method comprises following steps of 1) determining soil effective water capacity under slope specific site condition; 2) determining the relation between specific standing forest annual evapotranspiration and the biggest leaf area index (LAI) within the year; 3) determining the relation between the soil thickness and the LAI under the specific site condition; and 4) according to the relation between the LAI of the standing forest and the density (or cover degree) thereof, solving the proper density (or cover degree) of the standing forest. According to the invention, limitations in barren mountain forestation practice where the local annual precipitation is taken as the sole key factor are overcome; the dynamic relation between soil moisture supplying and moisture consumption of trees at different ages is also considered; and the result can be directly applied or popularized to operation and management practices of water conservation forest in semiarid and semihumid mountainous areas in northern China.

A system, methodology, and programming logic for active stormwater controls to optimize sizing and design of Hydromodification Management (HM) structural Best Management Practices (BMPs) to achieve optimal flow duration control. Control logic enables the controlled release of stormwater from a BMP in a manner most akin to pre-development flow duration curves. Inputs to this logic include: flow duration curves based on continuous hydrologic simulation for pre- and post-development conditions; real-time measurement of water level within the BMP; and real-time measurement of discharge entering the BMP. This control logic can interact with control logic for other stormwater management objectives, such as harvest and reuse, infiltration, and combined sewer overflow prevention, and respective inputs, such as real-time weather forecast data, precipitation gage data, downstream flow gauge data, and water quality data, to meet those design objectives as well. New HM BMPs can be optimized to be smaller and, thus, more feasible to implement. Existing stormwater facilities designed for flood control or other management objectives can be retrofitted to provide hydromodification control as well. When utilized with real-time flow and water level monitoring equipment and data, the flow release logic can be adaptively adjusted without physical retrofit of the BMP's outlet.

An approach for a veterinary management system server that enables management of a practice, vendors, pet, and pet owner information while gathering metrics and providing reports in addition to providing marking services to the practice and vendors.

The invention discloses a fixed asset management system. The system includes a system login module for a user to log in the system based on an account number and a password; an asset management module for asset establishment and management operation; an asset transfer module for asset transfer operation; an asset allocating module for asset allocating management; an inventory management module for asset inventory operation; an asset repairing module for asset repairing management; an asset discarding module for asset loss and discarding; a system management module for the management of organizations, roles, data dictionaries in the system; and a user management module for the management of user personal information. The system is designed for the management practice of fixed assets, and is rich and practical in function, and has strong adaptability, and has strong management efficiency.

The invention relates to a production method of selenium-enriched rice. The production method comprises the following steps of (1) preparing a selenium-contained preparation and a retention agent, and mixing the selenium-contained preparation with alkaline substances, so as to obtain an improved selenium-contained preparation mixture; (2) uniformly spraying the selenium-contained preparation mixture to a rice field in a jointing-booting stage of rice, and keeping water for more than seven days; (3) managing the rice according to normal water and fertilizer management practices, and finally, harvesting the selenium-enriched rice. The production method has the beneficial effects that the selenium-contained preparation is mixed with the alkaline substances, so that the absorption and utilization rate of the rice to selenium can be greatly increased, and the selenium-enriched rice is cultivated with relatively low selenium applying cost.

The present invention provides a method and system for evaluating the company's operating conditions. The method includes: for any data representing the company's operating conditions, according to the distribution of the data within a period of time in history, the normal distribution curve of the data is obtained; according to the data According to the normal distribution curve of the data, the probability of occurrence of the data at the current time is obtained; according to the occurrence probability and weight of all data, the operating status of the company is obtained. The present invention obtains the normal distribution curve according to the data representing the operating conditions of the company, and the whole evaluation process is a process of real-time dynamic change, and the performance of each index can be embodied through the evaluation system and method, and the historical laws are counted, which is convenient The decision-making of managers helps the company to establish a scientific and data-based decision-making governance methodology and management habits. The company's decision-makers can adjust the weight ratio of different business indexes according to business characteristics, so as to meet the characteristic needs of the company's operation and management.

The invention is applicable to the environment management technology field and provides a ceramic production enterprise carbon emission management system radiography device. A method comprises steps of data acquisition, system development and model construction. The method is characterized by comprising steps that S1, key common factors are extracted from home and abroad carbon emission management practices, and six core modules are formed; S2, content of each module is designed; S3, module combination link is carried out according to logic functions of each module; and S4, engineering radiography processing on the module functions is carried out, and a carbon emission management system radiography model is formed. The method is advantaged in that an emission management process of greenhouse gases including methane, carbon dioxide and nitrous oxide and results can be rehearsed by a user, and management efficiency is greatly improved.

Vegetation control plans may be automatically generated using vegetation control information received from a variety of sources. Such vegetation control plans may aid farmers, other vegetation control personnel, and professionals when determining a vegetation control strategy, including treatment, and then guide the implementation of that strategy. Vegetation control plans may include a variety of recommended vegetation control practices and projected outcomes for the implementation of recommended vegetation control management practices.

The invention provides a flood season division risk quantitative evaluation method. The flood season division risk quantitative evaluation method is characterized by comprising the following steps of 1, sampling the largest flood of a main flood season and a non-flood season in a history sequence; 2, selecting a random variable marginal probability distribution model; 3, deducing a largest flood expression mode of two divided seasons, including a main flood season and a non-main-flood season, which possibly occurs in the whole history sequence time length and a corresponding accumulative probability density function; 4, quantifying the risk that the occurrence of a flood in the non-main-flood season exceeds that in the main flood season, and solving a specific expression formula. The flood season division risk quantitative evaluation method can be widely applied to water resource management practices, the flood risk of all season division schemes can be quantitatively evaluated, and therefore scientific technical support is provided for flood risk evaluation and flood resourcefulness of a river flood season division scheme.

The invention is applicable to the technical field of environment management, and provides a coal mining enterprise carbon emission management system imaging device. The method comprises the steps of data collection, system development, and model building. The main technical points are as follows: S1, key bus factors are extracted from domestic and international carbon emission management practices to form six core modules; S2, the content of each module is designed; S3, the modules are combined and linked according to the logic functions of the modules; and S4, engineering imaging is performed on the functions of the modules to form a carbon emission management system imaging management model. Users can preview the emission management process and result of greenhouse gases such as methane, carbon dioxide and nitrous oxide. The efficiency of management can be greatly improved.