184 results about "Space optimization" patented technology

An apparatus, method, computer system, and computer program product to optimize space available for displaying text descriptions in a limited area, such as a sidebar. Space is optimized by displaying only the maximum portion of the text describing each selection that will fit within the limited area, thereby allowing space to display additional text descriptions in the remaining portion of the limited area. Positioning a pointer over the maximum portion of the text causes the complete portion of the text to be displayed. The complete portion of the text can serve as a link to content related to the text. Space is also optimized by providing a thin scroll bar to add space for displaying content within a window.

The invention discloses a camera and robot relative pose calibration method based on pixel space optimization. According to the method, a calibration board carried at the tail end of a robot is adopted for moving inside the range of the view of a fixed camera, and space motion constraint information of the calibration board is utilized for calibration to obtain the optimal relative pose relation between the camera and a robot base. Firstly, linear invariance of a rotating matrix is utilized for solving a homogeneous transformation matrix to obtain a preliminary calibration result; then, the preliminary calibration result is used as an initial optimization value for optimization of pixel space, so that a reprojection error is made to the minimum. According to the camera and robot relative pose calibration method, the iterative optimization algorithm is adopted, no precision external measurement equipment is needed, model constraints of the image pixel space are utilized, the effective optimization initial value obtaining method is combined, the calibration result with the higher precision is obtained, and the requirement of a visual servo robot for completing positioning and grabbing working in industrial application can be met.

Disclosed is an abstract convex lower-bound estimation based protein structure prediction method. The method includes: firstly, aiming for high-dimensional conformational spatial sampling problems for proteins, adopting a series of transform methods to transform an ECEPP / 3 force field model into an increasing radial convex function in unit simple constraint conditions; secondly, based on an abstract convex theory, proving and analyzing to give out a supporting hyperplane set of the increasing radial convex function; thirdly, constructing a lower-bound underestimate supporting plane on the basis of population minimization conformation subdifferential knowledge under a differential evolution population algorithm framework; fourthly, by the aid of a quick underestimate supporting plane extreme point enumeration method, gradually decreasing a conformational sampling space to improve sampling efficiency; fifthly, utilizing the lower-bound underestimate supporting plane for quickly and cheaply estimating an energy value of an original potential model to effectively decrease evaluation times of a potential model objective function; finally, verifying effectiveness of the method by methionine-enkephalin (TYR1-GLY2-GLY3-PHE4-MET5) conformational spatial optimization examples. The abstract convex lower-bound estimation based protein structure prediction method is high in reliability, low in complexity and high in computation efficiency.

A system for space optimized backup repository grooming includes a backup converter and a primary backup repository comprising a first backup sequence including two or more backup images of a data source. Each backup image may be of a particular backup image type, such as a full image, a differential image, or an incremental image. Upon an occurrence of a triggering event, the backup converter may be configured to convert the first sequence of backup images into a second sequence of backup images by converting a particular backup image of the first sequence into a transformed backup image of a different backup type. The triggering event may, for example, be an expiration of an interval specified in a schedule, a reception of an administrative command, or a detection that a condition specified in a backup sequence conversion policy has been met.

The invention discloses an optimization method for a multi-coordinates end milling processing cutter spacing which adopts a meridian division cutter. Firstly, the working face of a cutter is dispersed into a set of enough dense meridians, and then the minimum distance among the meridians and a designed curved face so as to get a set of minimum-distance line segments; secondly, the points on the minimum-distance line segment at the cutter working face are connected together to form a curve in space, namely, a typical line; the typical line arranged in a programming tolerance range is regarded as an effective typical segment; with the distance between two endpoints of the effective typical segment, the surface projection vertical to the feed direction of the cutter is used as processing line width; the maximum of the processing line width is regarded as the object function of cutter spacing optimization; the non-negative distance between all meridians and the designed curved face is regarded as one of constraint conditions; a mathematic model of the cutter spacing optimization is constructed and is combined with a cutter rail for fair and smooth processing, getting the optimization cutter spacing through a solution procedure. The optimization method can be used for effectively avoiding interference and control the mismachining tolerance and improving the working efficiency.

The invention discloses a multi-objective optimization-based high-dimensional data semi-supervised ensemble classification method, relates to the field of artificial intelligent ensemble learning, and mainly solves the problems in sub-space optimization and selection and semi-supervised information utilization in the prior art. The high-dimensional data semi-supervised ensemble classification method comprises the following steps of S1, inputting a training data set; S2, performing data normalization on the input training data set; S3, generating a random sub-space set; S4, performing multi-objective optimization selection of the sub-space set; S5, searching for an optimal semi-supervised classifier in feature sub-spaces; S6, classifying test samples; and S7, calculating classification accuracy. According to the method, the problem of difficulty in processing high-dimensional data is solved by utilizing random sub-spaces; the selection of the sub-spaces is fully optimized by utilizing a multi-objective optimization solution to improve the robustness of the sub-spaces; and the classifiers of the sub-spaces are optimized by fully utilizing untagged and tagged information, so that the generalization capability of the classifiers is improved.

A service network in which a monitoring system is implemented under the aspect of weight and space optimization. The service network for an aircraft includes a multi-purpose flight attendant panel, a bus system and a switch, wherein the multi-purpose flight attendant panel and the switch are connected via the bus system, wherein the switch includes an interface for at least one recording device, and wherein the multi-purpose flight attendant panel includes a control device for controlling the recording device.

A method for colony conformation space optimization based on a distance constraint selection strategy comprises the following steps: under a differential evolution algorithm framework, adopting a Rosetta Score3 coarseness knowledge energy model to effectively reduce a conformation space search dimension number and improve the convergence rate of an algorithm; introducing a fragment packaging technique based on knowledge to effectively improve prediction accuracy; utilizing character constraints of a distance spectrum in protein structure to make more structurally similar protein conformations enter a colony, so as to reduce errors caused by energy function inaccuracy and obtain more excellent local conformations; and performing more effective sampling on conformation space in combination with a high global searching capability of the differential evolution algorithm, so as to obtain conformations highly similar to a natural structure. The Rosetta Score3 coarseness knowledge energy model is adopted to effectively reduce the conformation space search dimension number and improve the convergence rate of the algorithm and prediction accuracy.

A method and apparatus is disclosed for entering text on a computer screen with a virtual keyboard and limited space, such as would be found on a mobile device such as smartphone, tablet, handheld computer or an automobile dashboard, or an appliance with a small screen. The method requires a sequence of events in which text is selected on the virtual keyboard, and a last key selected generates a new limited set of responsive keys, potentially based on word completion word fragments, for display on the screen, allowing responsive keys to be dynamically larger, variable in shape, or positioned on the virtual keyboard based on priority and availability of adjacent space to maximize the ease of use of the highest priority responsive keys. The user selects one of the responsive keys to partially complete or complete text entry.

Embodiments of the present invention provide a direct delivery of consumer products bypassing retailer's warehouses. Embodiments of the present invention provide an end-to-end solution for direct store delivery. A direct store delivery order may be generated based on one or more received customer orders. Vehicle space optimization instructions may be generated based on one or more products to be delivered based on the one or more received orders. An order to retrieve the one or more products and an order to load the one or more products on to a transport vehicle based on the vehicle space optimization instructions may be generated. A travel route for the transport vehicle for delivering the one or more products to customers may be provided.

Methods, systems, computer-readable media, and apparatuses for performing, providing, managing, executing, and / or running a spatially-optimized simulation are presented. In one or more embodiments, the spatially-optimized simulation may comprise a plurality of worker modules performing the simulation, a plurality of entities being simulated among the plurality of worker modules, a plurality of bridge modules facilitating communication between workers and an administrative layer including a plurality of chunk modules, at least one receptionist module, and at least one oracle module. The spatially-optimized simulation may be configured to provide a distributed, persistent, fault-tolerate and spatially-optimized simulation environment. In some embodiments, load balancing and fault tolerance may be performed using transfer scores and / or tensile energies determined among the candidates for transferring simulation entities among workers. In some embodiments, the plurality of bridge modules may expose an application programming interface (API) for communicating with the plurality of worker modules.

The invention provides a concurrent real-time program verification optimized processing system and method based on rewrite logic and belongs to the technical field of computer application. The system comprises a program model module, a property model module and a rewrite logic verification module. The method comprises the following steps: verifying a concurrent real-time program by virtue of rewrite logic; carrying out status space optimization on the property to be verified and model of the system by virtue of an algebraic model; adopting a time meta model to process real-time related property; and using equivalent state compression and algebraic simulation optimization so as to improve the program verification efficiency.

The invention discloses a memory space optimization method and system based on an Android system. The method includes the steps that process information and drive information running in the Android system are obtained; processes running in a memory are determined according to the process information; each drive program loaded in the memory is determined according to the drive information; useless processes which are not used in preset time are recognized; the useless processes are deleted from the memory; useless drive programs which are not used in preset time are recognized; the useless drive programs are deleted from the memory. By means of the method or system, memory space, occupied by an operation system, in a mobile phone can be reduced, and performance of the smart mobile phone adopting the Android system is improved.

A central vacuum cleaner system for an automobile which comprises one or more portals located inside the passenger compartment of an automobile and / or in the space optimized canister located in the trunk or rear of the automobile Transitory tubing connects the one or more portals to the space optimized canister wherein debris is collected and stored. Debris can be placed directly in the portal or a hose and / or additional attachments may be attached to the portal. A portal cover covers the one or more portals blocking the portal when debris is not being placed directly in the portal or when no hose is attached. The central vacuum cleaner system may be powered using the automobile's battery or an external battery.

The invention discloses a coding method of code-rate-variable low-density parity-check codes (LDPCs) of which the performance approximates to the channel capacity, and mainly solves the problem of difficulty in performance optimization of the prior concatenated Zigzag codes, which is caused by limitation on space optimization. The coding method is realized through the following steps: firstly, a parameter Gamma of a precoder is optimized; subsequently, an information bit group is divided into two subgroups, wherein one subgroup is coded via an accumulator, and a coding result is combined with the other subgroup to serve as output of the precoder; afterwards, the output of the precoder is sent into concatenated Zigzag code coders to be coded, and check bit groups are obtained; and finally, the information bit group is combined with the check bit groups to form code words. The LDPC codes obtained through the method are named as pre-coding concatenated Zigzag codes, and the pre-coding concatenated Zigzag codes can conveniently realize performance optimization and support various code rates. A density evolution computational method and a computer simulation result show that decoding thresholds of the pre-coding concatenated Zigzag codes approximate to a Shannon limit, and the pre-coding concatenated Zigzag codes have excellent performance at different code rates and different lengths.

The invention discloses a building method of a 3D printing weaving integrated forming building, which comprises the following steps: selecting basic structural components, using finite element analysis after space modeling, combining stress cloud pictures, setting a judgment field, carrying out structural space optimization, obtaining a structural component framework, carrying out calculation analysis on the structural component framework, determining the knitting range and the knitting density of the wire according to the weak surface of the structure, determining the printing process and theknitting process according to the framework of the structural component and the knitting range and the knitting density of the wire, preparing 3D printing materials; processing 3D printing substrateand wire materials according to the printing process and the knitting process, one-time forming of the superposition after construction layer by layer, or connecting through a preset tenon construction segment after the segment is printed. The building method of a 3D printing and weaving integrated forming building has the advantages of high toughness, fatigue resistance, and long service life, and enables the various parts of the building to not only achieve different requirements of structural mechanics, but also achieve economic beauty and type art on the basis of safety and reliability.

The invention discloses a method for establishing underwater landform digital elevation based on a Kriging method, which mainly aims to solve the problem that bigger water depth errors exist in some position points in a digital elevation establishing process when the water depth value change amplitude of the water depth data is large. The method comprises the following steps: loading initial water depth data; establishing underwater irregular triangular network landform according to the initial water depth data; performing space optimization on the irregular triangular network landform; analyzing the variable structure of the initial water depth data; performing the water depth Kriging interpolation process of the irregular triangulation network landform; performing error compensation on the water depth interpolation result. Compared with the method for directly generating regular grid digital elevation through initial water depth data interpolation, the method provided by the invention is used for selecting Kriging interpolation data to generate regular grid digital elevation through the topographic inequality of the irregular triangulation network landform, so that the problem of bigger regular grid digital elevation errors caused by large water depth value change amplitude of water depth data is solved.

The invention provides an optimization method and device for the lane change space of a city expressway ramp area. The method comprises the following steps that: on the basis of an expressway simulation model obtained in a way that a modeling parameter is input into VISSIM software, setting different ramp exiting ratios, different main road one-lane car traffic volumes and different lane change spaces to obtain an optimal lane change space corresponding to each lane existing ratio and an optimal lane change space corresponding to each main road one-lane car traffic volume. By use of the optimization method for the lane change space, the expressway designed on the basis of the optimal lane change space enables vehicles to successfully pass in an exit lane area, and delay or congestion can be reduced.

The invention relates to the technical field of the geographic information and space optimization, and especially relates an urban video monitoring space optimization method based on sign-in POI. Theurban video monitoring space optimization method based on sign-in POI comprises the following steps: selecting a point with the maximum monitored probability in all units in a monitoring region as a candidate point; computing a camera field of vision at the candidate point by applying the user sign-in POI data in the monitoring region; removing a unit covered by the camera field of vision at the candidate point, and selecting the point with the maximum monitored probability in the rest units; judging whether all units in the monitoring region are completely covered; and performing the video monitoring optimization by combining with a maximum coverage optimization model. Through the optimization method disclosed by the invention, the scientificity of the video monitoring deployment is improved, the monitoring coverage overlapping rate is lowered, and the monitoring dead zone is reduced.

A data transmission method and device and a search space optimization method and device are provided. The data transmission method includes the following steps: a terminal sends a random access prefixto a base station and receives a random access response from the base station; the terminal sends a first request message to the base station; and the terminal receives an uplink grant sent by the base station in a first state and uses the uplink grant to send uplink data to the base station, wherein the first state is an idle state or an inactive state. In the application, the terminal can transmit uplink data without entering a connected state, so that the power consumption of the terminal is reduced.

A method, system, and computer program product for adjusting a unit image area within an input image according to information importance within the unit area. An image receiver configured to receive the input image. An image warper is coupled to an importance map as is configured to generate a warped image such that regions of higher importance in the input image are expanded in the warped image and regions of lower importance in the input image are compressed in the warped image. The importance map is configured to delineate the regions of higher importance and the regions of lower importance in the input image. Texture coordinates may also be warped in a similar manner. Thus, the image is unwarped automatically by modern graphics adapters having texture mapping capabilities.

The invention relates to an artificial immunity intelligent optimization system facing the geographical space optimization, which comprises an immune operator library, a problem application library and an application platform module. The immune operator library is used for storing immune operator plugins; the problem application library is used for storing application plugins for solving the space optimization problem; the application platform module is used for calling the corresponding immune operator plugins from the immune operator library according to the selection of a user to determine a clonal selection algorithm and calling the corresponding application plugins from the problem application library to determine an antibody code and an affinity evaluation function of the specific space optimization problem to be solved of the user; and according to the determined antibody code and affinity evaluation function, the optimal solution of the specific space optimization problem to be solved of the user is acquired by the clonal selection algorithm. The artificial immunity intelligent optimization system provided by the invention can integrate the clonal selection algorithm which is currently and most widely used in the field of geoscience, and has universality, expandability and openness.

The invention relates to a layering collocation method of land utilization. According to the layering collocation method of the land utilization, basic data of the land utilization are firstly obtained and collected by a land utilization layering collocation model, land needing to be optimized in spatial arrangement is suitability evaluated, a specific genetic algorithm chromosome and a genetic evolution operator are constructed aiming at optimization problems of the land utilization spatial arrangement, mapping from a problem domain to the algorithm domain is accomplished and the spatial arrangement of various kinds of land is optimized by using the genetic algorithm under the guidance of a space optimization objective, and then land utilization competition between the optimized spatial arrangement of the various kinds of land and the land utilization in an existing state is solved by combining knowledge in the land planning field and the game theory. The layering collocation method of the land utilization is capable of well optimizing the spatial arrangement of the various kinds of land and good at coordinating the land utilization. The knowledge in the land planning field ensures that a land utilization coordination result is reasonable and the game theory is capable of solving the land utilization competition by introducing benefit factors, and feasibility of the land utilization coordination result is well guaranteed.

A protein conformation optimization method based on simple space abstract convexity lower bound estimation comprises the following steps that according to a coarsness energy model, a Rosetta Score 3 is adopted as an optimized objective function, and an energy calculation model is converted into a dihedral angle optimized space energy model; through feature vector extraction, a high-dimensional dihedral angle optimization problem is converted into an actually operable Descartes space optimization problem; based on Karmarker projective transformation, a Descartes space energy model is converted into a nonlinear optimization problem constrained by unit simplex, and an abstract convexity lower bound supporting face is constructed in this way, and is updated; fragment assembly and a Monte Carlo algorithm are combined to obtain a series of metastable state conformation; finally, high-resolution protein conformation is obtained through a Refinement service provided by a Rosetta sever. The method is high in sampling efficiency, low in complexity and high in prediction precision.

The invention discloses a computer case with an adjustable optimization space. The computer case comprises a case body; a handle is fixedly connected to the top of the case body; a base is fixedly connected to the bottom of the case body; a heat dissipation net is arranged on the front surface of the case body; a space optimization plate is arranged on one side of the case body; an upper sliding groove and a lower sliding groove are respectively formed in the upper part and the lower part of the case body and are arranged in parallel, an upper sliding block and a lower sliding block are respectively arranged inside the upper sliding groove and the lower sliding groove, and one side of the upper part of the space optimization plate is fixedly connected with the upper sliding block through a first sliding rod. The computer case with the adjustable optimization space, disclosed by the invention, has the benefits that the storage space of the computer case is effectively enhanced, and the problems that the space adjustment of an existing computer case is lower, and people easily forget where is a compact disk when using the compact disk to bring along troubles to peoples lives are solved.

The invention discloses a wireless monitoring system of a municipal pipe network, which is composed of a monitoring node, a Sink node, an upper computer, relevant communication protocols and application software and the like. Optimizing methods for a wireless self-organization communication protocol, energy-saving application, monitoring position selection and the like are further disclosed. The optimizing methods of the wireless self-organization communication protocol include precise synchronization, failure prediction, frequency conversion interference, time division optimization, channel space optimization sharing and the like. An energy-saving application optimizing method includes model selection of low power consumption hardware, design of a power supply protective circuit, optimizing design of a circuit board, a dormant optimizing mechanism, duty ratio optimization, transmission power optimization and the like. A point position optimizing selecting method is particularly a method for searching the most sensitive point in a certain monitoring area. By means of the various optimizing methods, low cost, low power consumption, safety, reliability, intelligence, efficiency and automation of monitoring of the municipal pipe network are achieved.

Optimizing a measurement system under test (MSUT) is disclosed. In one embodiment, a method includes selecting a first set of adjustable parameters of the MSUT that affect a quality metric for the MSUT, calculating the quality metric over a range of values of each adjustable parameter in the first set of adjustable parameters, generating a first multidimensional response space based on the calculating step, and determining which value of each adjustable parameter optimizes the quality metric based on the first multidimensional response space. The multidimensional response space may be stored for later recall for other optimization exercises.

The invention provides a double-source wireless power supply system spacing optimization method based on minimum power fluctuation standard deviation. A wireless energy transmission device of a double-source wireless power supply system comprises two large transmitting coils and a small receiving coil. The optimal spacing between the two transmitting coils can be determined according to the given working frequency, coil parameters and load size, and the voltage of a high-frequency power supply can be further determined according to the size of load power. A double-source wireless power supply system obtained by the optimization strategy can provide power for loads at different distances under a fixed working frequency. The power fluctuation problem of the existing single-source wireless power supply system caused by distance change is solved. The method is applicable to the field of mobile device power supply.