75results about How to "Improve scheduling" patented technology

A software solution for managing, sorting and ranking lists of tasks and integrating task and time management, such that tasks can be automatically or manually assigned to specified time blocks. Users can monitor the relationship between volume of tasks and available time in which to complete them. The solution and method can be applied to individual task lists as well as to the management of time across multiple projects and can be employed either by individuals or by collaborative groups. The solution and method employ multiple filters, sorts and handling rules to embody users' personal planning preferences. It can be used to manage task lists both with and without employing a scheduling component. The solution can interoperate with existing computer- and web-based calendar software and can use third-party calendar clients to display its output and to accept input from users.

A method and system to select, schedule, purchase, confirm, invoice, bill and settle service orders, such as home services orders from customers. The method and system accept electronic service orders as well as customer leads for services, selects service providers and schedule services in real-time via a computer network, confirms scheduling of service delivery in real-time, handles administrative and business details for both customers and service providers, as well as fulfills, tracks and settle service orders. The method and system also provide customized information for services available via an electronic services network and dynamically schedule services using plural electronic appointment calendars from plural service providers. The method and system includes customer service order and customer lead information and enterprise-wide visibility and management of business processes. The method and system may also be used for goods.

Methods, systems, computer program products, and methods of doing business by improving the scheduling of execution of jobs for or by network-connected devices, thereby enabling the job execution process to scale more easily, efficiently, and effectively to support large numbers of devices and / or users. Examples of jobs include, but are not limited to, distribution of resources (including software, configuration information, images, and other types of content) to a device, fetching a device's inventory information, backing up a device's contents, and so forth. Jobs are programmatically scheduled based upon a specified time internal, according to a class of the requester. Only if an earliest start time after which the job may be executed for this requester has been reached will the job be executed; otherwise, the job execution is delayed. The disclosed techniques lessen the need for additional servers to handle spikes in processing load, reduce the likelihood of reaching system overload, and reduce the likelihood of cascading failures that may occur when systems are overloaded.

A method for handling transmission and transmission status information for a relay capable of conveying data between a mobile device and a base station in a wireless communication system comprises the steps of autonomously handling uplink (UL) / downlink (DL) transmission, a UL / DL transmission report, a UL / DL reception report and resources of the UL / DL transmission when the relay receives the UL / DL transmission or the UL / DL transmission report or the UL / DL reception report, or receives a feedback signals corresponding to the UL / DL transmission.

Methods, systems, computer program products, and methods of doing business by improving the scheduling of execution of jobs for or by network-connected devices, thereby enabling the job execution process to scale more easily, efficiently, and effectively to support large numbers of devices and / or users. Examples of jobs include, but are not limited to, distribution of resources (including software, configuration information, images, and other types of content) to a device, fetching a device's inventory information, backing up a device's contents, and so forth. Jobs are programmatically scheduled based upon a specified time internal, according to a class of the requester. Only if an earliest start time after which the job may be executed for this requester has been reached will the job be executed, otherwise, the job execution is delayed. The disclosed techniques lessen the need for additional servers to handle spikes in processing load, reduce the likelihood of reaching system overload, and reduce the likelihood of cascading failures that may occur when systems are overloaded.

The invention discloses a delay adjusting method based on an urban rail transit working diagram. The method comprises steps as follows: S1, acquiring train operation parameters, wherein the train operation parameters comprise information such as train working diagram data, minimum station dwell time, minimum interval working time and the like; S2, establishing a working diagram delay adjusting module based on train arrival and departure time distribution by using the operation parameters; S3, calculating the train working diagram delay adjusting model on the basis of cross and variation probability formulas with an improved adaptive genetic algorithm to acquire an optimal adjusted working diagram. The invention further discloses an adjusting method based on the urban rail transit working diagram. Compared with the prior art, the adjusting method and device have the advantages that arrival and departure time distribution of trains at stations is more uniform through delay, passenger flow accumulation caused by excessively dense arrival and departure time is prevented, and dispatching work of running dispatchers can be improved and helped.

The present invention describes methods and compositions for improving the therapeutic efficacy of therapeutic agents previously limited by suboptimal therapeutic performance by either improving efficacy as monotherapy or reducing side effects. Such methods and compositions are particularly applicable to naphthalimides such as amonafide or analogs, derivatives, or prodrugs thereof.

The invention discloses an integrated scheduling system for a small and medium radial flow type hydropower station group. Rain and water condition information acquired from a rain and water condition monitoring terminal, flow information acquired from a flow monitoring terminal, power station information, power station installing information and electrical network electricity demand acquired from a power station operation monitoring terminal are provided by a data collection platform for a scheduling plan compiling platform to generate a corresponding scheduling plan, related data is further acquired by an information issuing platform from the data collection platform to comprehensively display various types of information in a basin, through establishment of the integrated scheduling system for the small and medium radial flow type hydropower station group, integrated hydropower scheduling is carried out at county net factories, a traditional, single and rough hydropower station management mode is changed, electrical network scheduling management boundary is broken, management capacity of small and medium water power enterprises is improved integrally, and energy saving, emission reduction, water saving and power generation increase are realized.

Scheduling methods and apparatus for use with optical switches with hybrid architectures are provided. An exemplary distributed scheduling process achieves 100% throughput for any admissible Bernoulli arrival traffic. The exemplary distributed scheduling process may be easily adapted to work for any finite round trip time, without sacrificing any throughput. Simulation results also showed that this distributed scheduling process can provide very good delay performance for different traffic patterns and for different round trip times associated with current switches.

The invention discloses a multi-target cloud workflow scheduling method based on a reinforcement learning strategy. A reinforcement learning Agent is improved by using a pointer network to form an improved deep reinforcement learning algorithm so as to construct a workflow scheduling model based on a reinforcement learning strategy, so that the workflow scheduling model can be suitable for cloud workflow scheduling problems of different sizes and different types, and the generalization ability of the model is improved while relatively high timeliness is ensured.

A method scheduling data packets and control information in a telecommunication network for transmission in a group of OFDM symbols available in a transmission time interval. A set of the data packets to be scheduled is first selected by a scheduler, which then searches control solutions for scheduling control information associated to the set of data packets in a predetermined number of OFDM symbols of the OFDM symbol group. The scheduler searches data solutions for scheduling the selected data packets in other OFDM symbols available. The scheduler repeats searches of data and control solutions considering different sets of data packets and different numbers of OFDM symbols for scheduling control information. Finally, the scheduler schedules data packets and control information according to a scheduling solution, wherein control information is scheduled according to a control solution and data packets are scheduled according to a data solution associated to the control solution.

The invention discloses gasholder load prediction equipment and a gasholder load prediction method for a gas system, and a gas scheduling system and a gas scheduling method. The gas system comprises a low-pressure gas generating device and a gasholder which are connected with each other. The method comprises the following steps of: (1) acquiring gasholder loads and gas output of the low-pressure gas generating device at different moments in a first preset time period; (2) selecting a model structure of a gasholder load prediction model, and establishing a gasholder load prediction model according to the selected model structure and the acquired gasholder loads and gas output of the low-pressure gas generating device at different moments in the first preset time period; and (3) predicting gasholder loads at different moments in a second preset time period by utilizing the established gasholder load prediction model, wherein the second preset time period is a time period after the first preset time period. The gasholder load prediction-based gas scheduling system and the gasholder load prediction-based gas scheduling method can radically solve the current problem that the gas balancing and scheduling are carried out through experiences, obviously improve the scheduling level of the gas system and prevent the gasholder loads from exceeding the upper and lower load limits of the gasholder.

The invention discloses an electric power communication protocol extension-based master substation remote programmed control method. On the basis of a power grid dispatching control system, the system comprises an intelligent substation master station and an intelligent substation sub-station, wherein the intelligent substation sub-station comprises a data communication gateway machine, a substation monitoring system, one or more measuring and control devices and one or more protection devices; the intelligent substation sub-station and the intelligent substation master station are in cooperation to achieve a remote programmed operation function; the intelligent substation master station does not need to store a programmed operation ticket and summons a programmed control object of the intelligent substation sub-station through the data communication gateway machine; the programmed operation ticket is stored and maintained in the substation monitoring system; and the data communication gateway machine takes charge of generation and pushing of the station end programmed control object, analysis of the operation ticket, decomposition execution of programmed operation, interaction of operation process information and pushing of an equipment state. The master substation remote programmed control method meets the program control requirements between the master station and the sub-station; and the dispatching level of a power system is improved.

The invention provides a medium-short term coordinated dispatching method for ultra-high voltage AC-DC hybrid power grid, and relates to the field of electrical power system power generation dispatching. When electricity is transmitted from west to east, feed-in scale is sharply increased in a low peak period, and load adjustment difficulty of a receiving power network is significantly increased, causing a power grid medium-short term start-up mode and running plan arrangement difficulty to be increased accordingly. The method comprises medium term plan formulation and short term plan formulation. The medium term plan formulation adopts a month as a decision cycle and a day as a calculation period, on the conditions of guaranteeing electrical power system load requirements and operational parameters of a power station and a machine set, monthly electricity is divided into days, and a daily start-up mode of the machine set is optimized; the short term plant forms a 96-point power output plan of daily electricity according to a short-term load prediction result; rolling amendment is conducted on an original medium-term power generating plan according to the latest prediction information of the load and machine set actual electricity completion situation; according to the technical scheme, frequent start-ups and stops of the power generating machine set are avoided, effective engagement and mutual coordination between a medium term and short term power generating plan are achieved.

The invention discloses an RFID network topology method based on the multi-agent evolutionary algorithm and belongs to the field of automatic control and information technology. The method combines a multi-agent system with evolutionary computation to solve the RFID network topology problem. The method is characterized in that each agent in an agent grid is initialized according to two algorithms, and then a neighborhood competition operator, a neighborhood right-angled crossover operator, a mutation operator and a self-learning operation are designed to optimize the agents. Verification results show that the method has great advantages in terms of solving the maximum coverage rate of reader-writers, the minimum number of the reader-writers and the minimum interference rate of the reader-writers when used for evaluating and solving the RFID network topology problem and is an effective method for solving the RFID network topology problem.

The invention discloses a just-in-time-based parallel forward calculation programing method for steel-making production planned time. The method comprises the following steps of: on the basis that a steel-making production process flow network bottom layer object model takes a working position, a working procedure and a transport line as basic elements and the normal distribution rules of the operation time and transportation time of various steel grades are considered, regarding the pouring start time of each heat of sequential casting constraint calculation as a delivery date; taking the operation start time of each heat in the aspect of working procedure based on working procedure backward calculation as the planned reference target time; after the start and end operation time of each heat are calculated by time parallel forward calculation, distributing an appropriate processing working position for each heat by a working position selection rule; and adjusting and determining the start and end operation time on a corresponding working position of each heat by a heat operation time adjusting strategy in reference to the reference target time. An executable operation planning and dispatching scheme for realizing sequential casting production can be programmed rapidly and the method has high generality and wide applicability to the optimization of steel-making production operation planning and dispatching.

An apparatus for scheduling a task with associated stored defining at least one relevant characteristic is provided. A detected content which defines at least one detected characteristic may be detected and then compared to the relevant characteristic of the stored content in the form of a similarity factor. It may then be determined whether the task has been completed based at least in part on the similarity factor. Information relating to the status of the task may be shared with other devices. A corresponding method and computer program product are also provided.

The invention discloses a resource-constrained project scheduling method based on a multi-agent evolutionary algorithm, belonging to the technical field of automatic control and information. According to the method, a multi-agent system is combined with evolutionary computation so as to solve the resource-constrained project scheduling problem. The method is characterized by comprising the following steps of: initializing each agent in an agent grid according to two algorithms; and designing a neighborhood competition operator, a neighborhood cross operator, a mutation operator and a self-learning operator for optimizing the agent. The verification result proves that the method has advantages in two aspects for evaluating the effectiveness of the method for solving the resource-constrained project scheduling problem, namely the solving of the optimal solution proportion and the solving of the average error deviating from the optimal solution, so that the method effectively solves the resource-constrained project scheduling problem, and the method can be expanded to solving other combined optimization problems with precedence relationship constraints.

System and method for measuring static load by using a piezoelectric load sensor with a feedback technique to compensate for the signal loss due to charge leakage, and therefore ensures measurement accuracy. The system is integrated with other structure, objects and devices to measure static loads applied to a mechanical shaft, in an on-line, in-process, quasi real-time fashion. The system can be used to measure static load and thus oversee an entire machine system or a manufacturing process.

The invention relates to a dispatching method of multichannel and multisound codec based on the single chip. Every channel is accessed on every time slice, contains: the time of time slice is determined according to the greatest common divisor of long of processing frames of the sound codec; calculates the synchronized cycle period of the sound codec relative to the cycle count period of said time slice P; the channels of sound codec are distributed equally and called according to the time slot of cycle count period P of every sound codec. The method equally distributes the corresponding channels in the cycle count period P, the corresponding channels are distributed to the time slice equally, and realize the VoIP sound processing system channel density, any sound codec combination can be realized, and it's no need to monitor the operation load of DSP chip timely and solve the operation capability bottleneck brought by the deployment of the traditional sound codec and the complex extent.

The invention discloses an intelligent airport scheduling method based on simulated annealing algorithm. The method comprises the following steps: Entering the flight schedule within the scheduling cycle; Setting constraint conditions and objective function; taking the simulated annealing algorithm to arrange the shifts of the employees who take part in the scheduling. Generate employee schedulingplan, and the employee performs production activities according to the employee scheduling plan. The intelligent airport scheduling method based on simulated annealing algorithm of the invention arranges the first-line airport staff based on flight plan, the simulated annealing algorithm is used to deduce the schedule, Improved traditional reliance on human resources, Estimating the unscientificshift arrangement greatly improves the utilization rate of human resources, and at the same time makes the business process, behavior standardization, decision-making procedures, organization systematization, breaking the previous lack of unified planning of human resources management mode, quantifying the management level, but also makes it easier for managers to grasp the work of front-line airport staff.

The invention relates to a power day-ahead market clearing method with flexible constrained condition, and belongs to the technical fields of power system scheduling and power marker transaction. Themethod comprises that a power day-ahead market clearing mathematical model with flexible constrained condition is constructed, a constrained condition flexible day-ahead marking clearing result is obtained by calculation, a renewable energy uniform reduction model without consideration of deep peak shaving is constructed, a renewable energy uniform reduction result is obtained by calculation, anda deep peak shaving clearing price and a reduction avoiding clearing price are calculated. The thermal power set and renewable energy modeling method and thermal power deep peak shaving and renewableenergy reduction balanced modeling method as well as the renewable energy uniform reduction model with the flexible constraint condition are provided, technical support is provided for day-ahead marker clearing or day-ahead plan arrangement with the flexible constraint condition considering the thermal power deep shaving and ordered renewable energy reduction, the difficulty in coordinating thermal power and renewable energy in the day-ahead marker is overcome, and consumption of the renewable energy is prompted.

The present invention describes methods and compositions for improving the therapeutic efficacy of therapeutic agents previously limited by suboptimal therapeutic performance by either improving efficacy as monotherapy or reducing side effects. Such methods and compositions are particularly applicable to bisantrene or derivatives, analogs, or prodrugs thereof.

A software solution for managing, sorting and ranking lists of tasks and integrating task and time management, such that tasks can be automatically or manually assigned to specified time blocks. Users can monitor the relationship between volume of tasks and available time in which to complete them. The solution and method can be applied to individual task lists as well as to the management of time across multiple projects and can be employed either by individuals or by collaborative groups. The solution and method employ multiple filters, sorts and handling rules to embody users' personal planning preferences. It can be used to manage task lists both with and without employing a scheduling component. The solution can interoperate with existing computer- and web-based calendar software and can use third-party calendar clients to display its output and to accept input from users.

The invention discloses a cloud manufacturing multi-task scheduling optimization method based on a game theory. The method comprises the steps of establishing a CMMS game model based on time, cost andreliability in combination with the game theory; initializing to obtain habitats, and representing each habitat by adopting a matrix; adopting a fitness function based on Nash equilibrium to calculate the habitat suitability index of each habitat, and determining an initial optimal solution according to the habitat suitability index; selecting a habitat to execute migration operation according tothe immigration rate and the emigration rate, and updating the optimal solution; selecting a corresponding habitat to perform mutation operation according to the mutation rate, and updating the optimal solution; updating the population by adopting an elitist replacement strategy; if the number of iterations is reached, outputting an optimal solution, namely an optimal scheduling scheme; otherwise, continuing iteration. According to the method, a new cloud manufacturing multi-task scheduling game model is provided based on the game theory, a better scheduling scheme can be obtained, and the defects of premature convergence and poor population diversity of a basic BBO algorithm are overcome.

The invention relates to a data scheduling acquisition device. The data scheduling acquisition device comprises a platform frame layer, an acquisition adaptation layer and an equipment layer. The platform frame layer is used for receiving acquisition requests, issuing acquisition tasks, acquiring acquisition task progress information of the acquisition adaptation layer and distributing acquisition data. The acquisition adaptation layer comprises multiple acquisition adapters used for receiving the acquisition tasks and conducting data acquisition on the equipment layer. The platform frame layer comprises a scheduling clustering module and an original platform frame module. The original platform frame module is used for receiving the acquisition requests and adapter control information. The scheduling clustering module is used for receiving the acquisition request sent by the original platform frame module, generating the acquisition tasks and issuing the acquisition tasks to the adapters, with small loads and without damage, in corresponding adapter domains of the acquisition adaptation layer. Acquisition task scheduling is completed through the platform frame layer, high availability of scheduling is improved, and the overall scheduling level is increased; the acquisition data is stored through an HDFS module of a distributed file system, and high fault tolerance and high throughput of the data are achieved.

The invention discloses an improved sparrow search optimization method for blocking a flow shop scheduling problem, and belongs to the technical field of shop scheduling. The method comprises the steps: employing an integer-real number hybrid coding mode to code a sparrow individual and workpiece production sequence; using a new collaborative initialization strategy to initialize the positions of the sparrows; dividing the sparrow population into a plurality of subgroups for mutual learning; obtaining a good workpiece production sequence solution set, namely a sparrow individual elite solution set, through an improved sparrow individual search strategy; and carrying out local enhancement on the obtained elite solution set, and obtaining an optimal sparrow individual, namely an optimal workpiece machining sequence. The method can solve the problems that the population diversity is reduced and the algorithm is easy to fall into local optimum in the later stage of iteration of the sparrow algorithm; and the processing efficiency of the blockage flow workshop can be effectively improved, and the economic benefits of factories are improved.

A computer implemented method, data processing system, and a computer program product for improving the scheduling of system processes by the central processing unit. The process retrieves a set of profiling data from an executable object file for the application. The set of profiling data is associated with a given process of the application. The process passes the set of profiling data to a scheduler. The scheduler uses the set of profiling data for scheduling the given process for execution by a processor.

A method of scheduling meetings includes: providing a first specification for a first set of meetings, wherein the first specification includes for each meeting an attendee list for specifying attendees, a duration for specifying meeting length, and a window for specifying acceptable meeting times; providing a first meeting schedule for the first set of meetings in accordance with the first specification, wherein the first meeting schedule includes a start time and an end time for each meeting; specifying an additional meeting to add to the first set of meetings, whereby a second set of meetings includes the first set of meetings and the additional meeting and a corresponding second specification includes for each meeting an attendee list, a duration, and a window; and determining a second meeting schedule for the second set of meetings by adjusting the first meeting schedule to include the additional meeting in accordance with the second specification.