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465results about How to "Loss minimization" patented technology

Wristband/cinch with label assembly business form and method

A business form particularly adapted for use in a medical or hospital environment includes in a first embodiment a wristband assembly that is readily separable from a carrier comprised of a layer of face stock and a laminate, with the wristband including a printable face stock region die cut into the face stock and a strap portion, a laminating portion, and a cinch die cut into the laminate layer. The laminating portion includes two halves which fold together about a fold line to enclose the face stock, with the strap portion extending from one of said halves. The cinch may be located in one of two locations, either in an extension from the other side of the face stock or intermediate the face stock and the strap portion. In either case the cinch comprises a slot through which the strap portion is inserted and then adhered to itself after its length has been adjusted by the medical professional. If an extension is provided, it may be folded over to adhere to the strap portion and clamp it in place there as well as being adhered at its end back onto itself, as described. An extender is also described which includes a clamshell joinder and a tail portion. The clamshell portion may be applied to the strap portion anywhere along its length to extend the effective length of the strap portion. Any of the wristband constructions may be provided on a page sized sheet along with a plurality of self adhering labels, in any of a number of configurations, to suit any particular application, as desired by a user.
Owner:ZEBRA TECH CORP

Microwave Transmission Line Integrated Microwave Generating Element and Microwave Transmission Line Integrated Microwave Detecting Element

Microwave generating and detection portions of a electronic circuit is improved in efficiency and reduced in size. A microwave generating element A comprises a lower electrode 1, a layer 3 formed on the lower electrode 1 in an island shape, forming a magnetoresistance element, an insulator 7 formed on the lower electrode 1 in such a manner as to surround the layer 3 forming the magnetoresistance element, and an upper electrode 5 formed on the insulator 7 and the layer 3 forming the magnetoresistance element. The layer 3 forming the magnetoresistance element includes, in order from the side of the lower electrode 1, a magnetization fixed layer 3a, an intermediate layer 3b, and a magnetization free layer 3c. The magnetization free layer 3c, which is required to produce resonance oscillation based on a current, preferably is dimensioned to be equal to or smaller than 200 nm square in a cross-sectional area and on the order of 1 to 5 nm in film thickness, for example. The magnetization fixed layer 3a, when made of a single material, is required to have a thickness 10 times or more of the thickness of the magnetization free layer 3c. The magnetization fixed layer 3a may be comprised of a magnetic metal multilayer film that utilizes antiferromagnetic coupling.
Owner:JAPAN SCI & TECH CORP

Distributed global optimum energy management system based on an alternating direction method of multipliers

The invention discloses a distributed global optimum energy management system based on an alternating direction method of multipliers. The distributed global optimum energy management system is a system taking a plurality of energy storage devices as units under a single microgrid, the microgrid comprises different nodes, each node is connected with a corresponding energy storage module, an energy management module, a dynamic load and a renewable energy power generator, different nodes are connected with one another through a topological graph mode, information can be exchanged between adjacent nodes, the energy management parameter of each node is synchronously updated through information exchange, so that the total energy consumption of the whole microgrid is adjusted to global minimum in real time. By tracking a charge status of the energy storage module and simultaneously considering factors such as the energy supply and demand balance condition of the microgrid, the loss of a transmission line, the discontinuity of the renewable energy power generator, the dynamic change of a load and the charging/discharging efficiency of the energy storage system, the power flow on a power line is dynamically minimized, and the purpose of reducing power loss is achieved.
Owner:SYSU CMU SHUNDE INT JOINT RES INST +1

Voice data classification method based on improved capsule network

The present invention discloses a voice data classification method based on an improved capsule network. The method comprises the steps of: in a training phase, constructing a coder of a capsule network to perform coding of initial voice phoneme data to obtain a primary capsule; constructing a dynamic routing structure of the capsule network to transmit the information in the primary capsule to ahigh-class capsule; taking a softmax excitation value of the length of each high-class capsule to represent the probability of the initial voice phoneme data belonging to a corresponding type; constructing a decoder of the capsule network to perform decoding reconstruction of the high-class capsule corresponding to real phoneme symbols; performing optimization of parameters of the capsule networkbased on a total loss function; and in a test phase, inputting the initial voice phoneme data to the coder of the capsule network to determine the type of data to be tested. The voice data classification method based on the improved capsule network can perform accurate identification of the phoneme symbols corresponding to the time sequence signals of the voice phonemes so as to solve the technical problems that the directly extracted feature accuracy is low, the voice data classification effect is poor and the over-fitting is performed according to the theoretical knowledge.
Owner:HOHAI UNIV CHANGZHOU

Distributed type gradient algorithm based microgrid energy storage unit optimization control method

The invention discloses a distributed type gradient algorithm based microgrid energy storage unit optimization control method. The microgrid energy storage unit optimization control method comprises the steps of establishing a power grid power balance model for the microgrid; determining the relations between the charging-discharging efficiency of the energy storage unit and the charging-discharging power, and between the charging-discharging efficiency of the energy storage unit and the state of charge separately according to the electric energy loss in the charging-discharging process of the energy storage unit in the microgrid; carrying out modeling and analyzing on the charging-discharging process of the energy storage unit by taking the minimized electric energy loss in the charging-discharging process of the energy storage unit as the target function; optimizing and solving the established charging model for the energy storage unit based on a multi-agent system by fully utilizing the distributed type gradient algorithm to obtain a model optimal solution; and obtaining a charging-discharging strategy of the energy storage unit according to the model optimal solution, and controlling the implementation of the charging strategy. According to the optimization control method, the energy storage unit in the microgrid is optimized and dispatched, so that an optimization result equivalent to that obtained in a centralized method can be obtained; and in addition, the optimization control method is low in implementation cost, flexible and extensible, and capable of effectively solving the problem existing in the access of the large-scale battery energy storage system.
Owner:张家港市锦丰科技创业发展有限公司

Wireless communication anti-eavesdrop interference power control algorithm based on Q learning

The invention relates to a wireless communication anti-eavesdrop interference power control algorithm based on Q learning. The wireless communication anti-eavesdrop interference power control algorithm comprises steps that S1. transmission power Ps, safety evaluation coefficient Rho, interference power xi, and levels of working time ts are initialized, and working time ts of an edge server is equally divided into k parts, and each part is used as a time slot t<(k)><s>; S2. the related quantity of the working state of the kth time slot t<(k)><s> is calculated; S3. a friendly jammer adopts a Q learning algorithm for learning, and a decision is made in every time slot t<(k)><s> according to a system state S(k), and then a corresponding motion xi(k) is selected; S4. after the Q learning training of the edge server is completed, the friendly jammer is used to schedule the motion X<k> to transmit a friendly interference signal according to an equation V(S<k+1>,X<k>)corresponding to thecurrent state S(k). The jammer is trained by the Q learning algorithm, and then the jammer continues trying to transmit interference power according to information transmission power of legitimate transmitters until the optimal interference power is finally acquired, and therefore maximization of information security and minimization of network energy loss are realized, and ideal effect of network energy utilization rate is improved.
Owner:SUN YAT SEN UNIV
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