2969 results about "Fine-tuning" patented technology

An input linguistic description is converted into a speech waveform by deriving at least one target unit sequence corresponding to the linguistic description, selecting from a waveform unit database for the target unit sequences a plurality of alternative unit sequences approximating the target unit sequences, concatenating the alternative unit sequences to alternative speech waveforms and presenting the alternative speech waveforms to an operating person and enabling the choice of one of the presented alternative speech waveforms. There are no iterative cycles of manual modification and automatic selection, which enables a fast way of working. The operator does not need knowledge of units, targets, and costs, but chooses from a set of given alternatives. The fine-tuning of TTS prompts therefore becomes accessible to non-experts.

A “Wearable Electromyography-Based Controller” includes a plurality of Electromyography (EMG) sensors and provides a wired or wireless human-computer interface (HCl) for interacting with computing systems and attached devices via electrical signals generated by specific movement of the user's muscles. Following initial automated self-calibration and positional localization processes, measurement and interpretation of muscle generated electrical signals is accomplished by sampling signals from the EMG sensors of the Wearable Electromyography-Based Controller. In operation, the Wearable Electromyography-Based Controller is donned by the user and placed into a coarsely approximate position on the surface of the user's skin. Automated cues or instructions are then provided to the user for fine-tuning placement of the Wearable Electromyography-Based Controller. Examples of Wearable Electromyography-Based Controllers include articles of manufacture, such as an armband, wristwatch, or article of clothing having a plurality of integrated EMG-based sensor nodes and associated electronics.

A high frequency signal transmission apparatus includes a transmitter for transmitting received signals from a signal source as a modulated signal on a high frequency 900 MHz carrier to a remote receiver. The remote receiver converts the high frequency carrier in at least one conversion step to a lower frequency carrier signal. The lower frequency carrier signal carrying the modulated signal is then converted to another carrier signal and retransmitted as a modulated second signal to another remote receiver capable of demodulating the signal and broadcasting the audio sounds or video images. The oscillators in the transmitter and receiver are selectable to operate at discrete frequencies. Automatic fine tuning control is provided in the receiver to accommodate drift of the oscillator in the receiver. A recorder is coupled to the receiver for temporarily storing a demodulated first signal from the transmitter and then outputting the stored signals to a second transmitter for retransmission to a remote output device.

An iron golf club head having a thin (less than 0.12 inches) first section that has an expanded unsupported front face region. The first section including a central portion forming part of a leading edge and wrapping around a sole section of the club, to create an increase the coefficient of restitution of the club head to greater than 0.8. The club head utilizes a rear insert that in addition to providing support for the front face, also allows for the fine tuning of swing weights with no change in geometry or size of the club head. This is accomplished this by the utilization of weight adjustment inserts that impregnate tungsten loaded plastic into sheets of carbon graphite and epoxy. The percentage of tungsten creating a weight range without any size change in the sheets.

A method and apparatus for facilitating power control within mobile radio systems. The power control is a function of location of the mobile station. Power levels are mapped to a geographic grid and power levels are set based upon such pre-determined power levels. Alternatively, initial power levels are set based upon the mapped power levels, but are subject to fine tuning through a much reduced feedback loop.

Various types of holey fiber provide optical propagation. In various embodiments, for example, a large core holey fiber comprises a cladding region formed by large holes arranged in few layers. The number of layers or rows of holes about the large core can be used to coarse tune the leakage losses of the fundamental and higher modes of a signal, thereby allowing the non-fundamental modes to be substantially eliminated by leakage over a given length of fiber. Fine tuning of leakage losses can be performed by adjusting the hole dimension and/or the hole spacing to yield a desired operation with a desired leakage loss of the fundamental mode. Resulting holely fibers have a large hole dimension and spacing, and thus a large core, when compared to traditional fibers and conventional fibers that propagate a single mode. Other loss mechanisms, such as bend loss and modal spacing can be utilized for selected modes of operation of holey fibers. Other embodiments are also provided.

A periodic baseline adjustment algorithm is disclosed that can increment or decrement individual baseline sensor output values by one count to provide periodic fine-tuning of the baseline to track temperature drift. A scan of the sensor panel is performed after a dynamic adjustment time interval has passed. Previously computed offset values are subtracted from the sensor output values to normalize them. For any normalized sensor values that are positive, the offset values are incremented by one count. For any normalized sensor values that are negative, the offset values are decremented by one count. The algorithm waits the duration of a dynamic adjustment period before scanning the panel again. Dynamic adjustment intervals allow quick recovery for slight baseline inversions without adapting out far-field or touch objects very quickly. Adjustment intervals can depend on an average of background (non-patch) sensor output values.

The invention comprises a laying, semi-vertical, or seated patient positioning, alignment, and/or control method and apparatus used in conjunction with multi-axis charged particle or proton beam radiation therapy of cancerous tumors. Patient positioning constraints are used to maintain the patient in a treatment position, including one or more of: a seat support, a back support, a head support, an arm support, a knee support, and a foot support. One or more of the positioning constraints are movable and/or under computer control for rapid positioning and/or immobilization of the patient. The system optionally uses an X-ray beam that lies in substantially the same path as a proton beam path of a particle beam cancer therapy system. The generated image is usable for: fine tuning body alignment relative to the proton beam path, to control the proton beam path to accurately and precisely target the tumor, and/or in system verification and validation.

A system and method of providing identity theft security is provided. The system and method utilizes a computer program that identifies, locates, secures, and/or removes from computers, computer systems and/or computer networks personally identifying and/or other sensitive information in different data formats. The computer program utilizes a multi-tiered escalation model of searching/identifying sensitive information. The computer program of the instant invention utilizes a self-learning process for fine-tuning a level of scrutiny for identifying potentially sensitive information.

A method and system that optionally allows a user to view image defects organized by natural groupings based on features of the images. The natural groupings make it easier for the user to organize some or all of the images into classes in a training set of images. A feature vector is extracted from each image in the training set and stored, along with its user-specified class, for use by an automatic classifier software module. The automatic classifier uses the stored feature vectors and classes to automatically classify images not in the training set. If the automatically classified images do not match images manually classified by the user, the user modifies the training set until a better result is obtained from the automatic classifier. The system can provide feedback to an inspection system designed to aid in the setup and fine-tuning of the inspection system.

A microwave emission mechanism includes: a transmission path through which a microwave is transmitted; and an antenna section that emits into a chamber the microwave transmitted through the transmission path. The antenna section includes an antenna having a slot through which the microwave is emitted, a dielectric member through which the microwave emitted from the antenna is transmitted and a closed circuit in which a surface current and a displacement current flow. A surface wave is formed in a surface of the dielectric member. The closed circuit has at least: an inner wall of the slot; and the surface and an inner portion of the dielectric member. When a wavelength of the microwave is λ₀, a length of the closed circuit is nλ₀±δ, where n is a positive integer and δ is a fine-tuning component including 0.

A system and method of providing identity theft security is provided. The system and method utilizes a computer program that identifies, locates, secures, and/or removes from computers, computer systems and/or computer networks personally identifying and/or other sensitive information in different data formats. The computer program utilizes a multi-tiered escalation model of searching/identifying sensitive information. The computer program of the instant invention utilizes a self-learning process for fine-tuning a level of scrutiny for identifying potentially sensitive information.

The invention comprises a semi-vertical or seated patient positioning, alignment, and/or control method and apparatus used in conjunction with multi-axis charged particle or proton beam radiation therapy of cancerous tumors. Patient positioning constraints are used to maintain the patient in a treatment position, including one or more of: a seat support, a back support, a head support, an arm support, a knee support, and a foot support. One or more of the positioning constraints are movable and/or under computer control for rapid positioning and/or immobilization of the patient. The system optionally uses an X-ray beam that lies in substantially the same path as a proton beam path of a particle beam cancer therapy system. The generated image is usable for: fine tuning body alignment relative to the proton beam path, to control the proton beam path to accurately and precisely target the tumor, and/or in system verification and validation.

The invention comprises a semi-vertical patient positioning, alignment, and/or control method and apparatus used in conjunction with charged particle or proton beam radiation therapy of cancerous tumors. Patient positioning constraints are used to maintain the patient in a treatment position, including one or more of: a seat support, a back support, a head support, an arm support, a knee support, and a foot support. One or more of the positioning constraints are movable and/or under computer control for rapid positioning and/or immobilization of the patient. The system optionally uses an X-ray beam that lies in substantially the same path as a proton beam path of a particle beam cancer therapy system. The generated image is usable for: fine tuning body alignment relative to the proton beam path, to control the proton beam path to accurately and precisely target the tumor, and/or in system verification and validation.

A method for setting a power control level (600) in a wireless communication system. The method includes the steps of obtaining (620) transmission information from a wireless subscriber unit, and modifying a power control level and/or a communication channel format (660) in response to said transmission information. Preferably, the transmission information is re-transmission requests from a wireless subscriber unit, which are transmitted frequently. In this manner, rapid adjustment of power control can be attained utilising an optimal selection of the available communication channel format, followed by a fine-tuning power control operation.

The invention discloses a Chinese named entity recognition method based on BERT-BiGRU-CRF. The method comprises three stages: in the first stage, preprocessing mass text corpora, and pre-training a BERT language model; in the second stage, preprocessing the named entity recognition corpus, and encoding the named entity recognition corpus through the trained BERT language model; and at the third stage, inputting the encoded corpus into a BiGRU+CRF model for training, and performing named entity recognition on the to-be-recognized statement by using the trained model. Construction of the Chinesenamed entity recognition method based on BERT-BiGRU-CRF is carried out, semantic representation of characters is enhanced through a BERT pre-training language model, semantic vectors are dynamicallygenerated according to contexts of the characters, and the ambiguity of the characters is effectively represented. Compared with a method based on fine tuning of a language model, the method has the advantages that training parameters are reduced, and the training time is saved.

The invention is directed to a stationary bicycle which has load-providing components allowing for fine-tuned adjustment of the selected load. The load providing components are made of relatively simple mechanical components so as to increase the reliability, reduce the maintenance and provide a relatively smooth cycling feel. In addition, the invention is directed to a stationary bicycle which is manufactured using specific materials and processes so as to provide for a reliable product having a relatively long life cycle characterized by reliable functioning. Furthermore, the stationary bicycle of the invention comprises a design which allows for ergonomic fine tuning of the relative positioning between the various components thereof so as to provide ergonomic adjustments thereby reducing the risk of injury to the body of the individual and allowing for a more efficient workout.

The present invention is directed at modifying digital images of faces automatically or semi-automatically. In one aspect, a method of detecting faces in digital images and matching and replacing features within the digital images is provided. Techniques for blending, recoloring, shifting and resizing or portions of digital images are disclosed. In other aspects, methods of virtual “face lifts” are methods of detecting faces within digital image are provided. Advantageously, the detection and localization of faces and facial features, such as the eyes, nose, lips and hair, can be achieved on an automated or semi-automated basis. User feedback and adjustment enables fine tuning of modified images. A variety of systems for matching and replacing features within digital images is also provided, including implementation as a website, through mobile phones, handheld computers, or a kiosk. Related computer program products are also disclosed.

The invention relates to an adaptive extraction and diagnosis method for degree features of a mechanical fault through a stack-type sparse automatic coding depth neural network, and belongs to the technical field of mechanical equipment state monitoring and reliability evaluation. The method aims at a problem of intelligent diagnosis of the degree of the mechanical fault, and comprises the steps: carrying out the stacking of sparse automatic coding, adding a classification layer, and constructing the stack-type sparse automatic coding depth neural network which integrates the adaptive learning and extraction of the degree features of the fault and fault recognition; employing the advantage that the sparse automatic coding can automatically learn the internal features of data, and adding noise coding to be integrated in the sparse automatic coding for improving the robustness of feature learning; carrying out the layer-by-layer no-supervision adaptive learning and supervision fine tuning of the original input complex data through multilayer sparse automatic coding, completing the automatic extraction and expression of the degree features of the mechanical fault and achieving the intelligent diagnosis of the degree of the fault. The method is used for the diagnosis of the degree of faults of rolling bearings under different work conditions, and obtains a good effect of feature extraction and diagnosis.

A depth significance-based remote sensing image rapid retrieval method is disclosed and belongs to the field of computer vision. The method disclosed in the invention specifically relates to technologies such as in-depth learning, significance object detection, image retrieval and the like. According the method, remote sensing images are research objects, and in-depth learning technologies are used for researching a remote sensing image rapid retrieval method. A full convolution neural network is adopted for constructing a multitask significance object detection model which is used for doing significance detection tasks and semantic segmentation tasks at the same time, and depth significance characteristics of the remote sensing images are learnt in network pre-training processes. A depth network structure is improved, a Hash layer fine tuning network is added, and binary system Hash codes of the remote sensing images can be obtained via learning. Significance characteristics and the Hash codes are used comprehensively for similarity measurement. The method disclosed in the invention is of high application value for realizing accurate, highly efficient and feasible retrieval of the remote sensing images.