Abstract: A power supply battery and a power supply system for high-speed maglev trains are disclosed. The power supply battery comprises: an electrolyte tank, a plurality of liquid flow pumps, and a plurality of aluminum-air battery reactors. The plurality of aluminum-air battery reactors are sequentially connected in series. The electrolyte tank comprises a plurality of elongate electrolyte grooves. One liquid flow pump corresponds to one aluminum-air battery reactor and one electrolyte groove.

Abstract: The present disclosure discloses a device, system and method for testing cardiac exercise functions. Chronotropic Competence Indices (CCIs) are proposed to quantitatively describe the adaptation capability of cardiopulmonary system in response to exercise intensity variation in terms of heart rate changes, and thereby describes the dynamic process of the heart in the body metabolic process. The present disclosure discloses a device which measures the CCIs in real time by using the wearable technology, and referred to as Cardiac Exercise Test (CET). Compared with the Cardiopulmonary Exercise Testing (CPX) and parameters measured by the CPX such as a maximum oxygen uptake, the CCIs have clear clinical meanings and specific normal reference values; and the CET reduces the risk of the test. It is simple to use, and can be used anytime anywhere. It is of great importance in wide clinical applications, and is of great significance in prevention and rehabilitation of cardiopulmonary disease.

Abstract: The present disclosure discloses a device, system and method for testing cardiac exercise functions. Chronotropic Competence Indices (CCIs) are proposed to quantitatively describe the adaptation capability of cardiopulmonary system in response to exercise intensity variation in terms of heart rate changes, and thereby describes the dynamic process of the heart in the body metabolic process. The present disclosure discloses a device which measures the CCIs in real time by using the wearable technology, and referred to as Cardiac Exercise Test (CET). Compared with the Cardiopulmonary Exercise Testing (CPX) and parameters measured by the CPX such as a maximum oxygen uptake, the CCIs have clear clinical meanings and specific normal reference values; and the CET reduces the risk of the test. It is simple to use, and can be used anytime anywhere. It is of great importance in wide clinical applications, and is of great significance in prevention and rehabilitation of cardiopulmonary disease.

Abstract: A real-time body status monitoring system (RBMS) is presented in this invention. A wearable monitoring apparatus (WMA) worn by users consists of one or a few sensor nodes and a computing module. Sensor nodes communicate with the computing module via either wired or wireless protocols. RBMS incorporates a monitoring center that connects and serves many WMAs. Together with the sensors and context-aware information fusion and analysis, the system in the invention goes beyond sampling rare events that may be of profound diagnostic, prognostic, or therapeutic importance. It measures the physiological responses to therapeutic interventions during daily activities, which constitute direct and practical health indicators for the patient.

Abstract: A method, apparatus, and computer program product for estimating face direction using a single gray-level image (110, 150) of a face are described. Given the single image (110, 150), a face direction can be determined by computing a nose axis (140, 180) maximising a correlation measure between left and right sides (120, 130; 160, 170) of the face. The correlation measure is computed by comparing one of the two sides (A) with another synthetic side (C) derived from the other side (B) using symmetry and perspective transforms. Optionally, this process can be accelerated using a contrast enhancement algorithm taking advantage of the circumstances that the nose is the part of a face reflecting the most light and that this reflected light is represented as a line-like region close to the real nose axis. The computation result is a word describing the spatial position of the face and combining height (“up”, “normal”, “down”) and neck-rotation (“left”, “frontal”, “right”).

Abstract: A method, an apparatus, and a computer program product for digital audio watermarking of wavetable (WT) format audio, including downloadable sounds (DLS) (110), are disclosed. Correspondingly, a method, an apparatus, and a computer program product for extracting watermarks (126, 552) from a digital audio watermarked WT audio (162, 510) are disclosed. In particular, a digital audio watermark (126) is embedded (140, 130) in both articulation parameters (122) and sample data (124) of a DLS (110). A finite automaton module (220) is used to implement adaptive coding (130) of the sample data (124). Virtual parameters (430) are generated for information hiding (140) applied to the articulation parameters (122). Optionally, playback of the WT (152) can be limited by an embedded control signal. Brief overviews of MIDI and DLS are provided.

Abstract: A method, an apparatus and a computer program product are disclosed for protecting the legitimacy of an article (100), and in particular an electronic document, against forgery or fraud. Such articles include passports, credit cards, bank notes, lottery tickets, secure forms. The method includes the following steps: several watermarks (204, 224, 244) are generated independently (304, 306, 308) by different cryptographic watermarking mechanisms controlled utilising information permanently associated within the article or product (100); and each watermark is embedded in a linked cryptographic manner (160, 162, 164). Subsequently, the watermarks can be scanned and digitised (410). The authenticity of the article (100) can be determined by verifying the correctness of extracted watermarks and the encryption links (160, 162, 164) among them. Also disclosed is a method of embedding an invisible watermark (714) in an official seal (712) incorporated in an electronic article or document (700).

Abstract: A method, apparatus, and computer program product for estimating face direction using a single gray-level image (110, 150) of a face are described. Given the single image (110, 150), a face direction can be determined by computing a nose axis (140, 180) maximising a correlation measure between left and right sides (120, 130; 160, 170) of the face. The correlation measure is computed by comparing one of the two sides (A) with another synthetic side (C) derived from the other side (B) using symmetry and perspective transforms. Optionally, this process can be accelerated using a contrast enhancement algorithm taking advantage of the circumstances that the nose is the part of a face reflecting the most light and that this reflected light is represented as a line-like region close to the real nose axis.

Abstract: A method, apparatus, and computer program product for estimating face direction using a single gray-level image (110, 150) of a face are described. Given the single image (110, 150), a face direction can be determined by computing a nose axis (140, 180) maximizing a correlation measure between left and right sides (120, 130; 160, 170) of the face. The correlation measure is computed by comparing one of the two sides (A) with another synthetic side (C) derived from the other side (B) using symmetry and perspective transforms. Optionally, this process can be accelerated using a contrast enhancement algorithm taking advantage of the circumstances that the nose is the part of a face reflecting the most light and that this reflected light is represented as a line-like region close to the real nose axis.

Abstract: A steganographic method is disclosed to embed an invisible watermark into an image. It can be used for copyright protection, content authentication or content annotation. The technique is mainly based on K-L transform. Firstly a block and cluster step 106 and cluster selection step 108 are performed to enhance the optimization of K-L transform 110 for a given image. Then a watermark is embedded 114 into the selected eigen-clusters. ECC (Error Correction Code) can be employed to reduce the embedded code error rate. The proposed method is characterized by robustness despite the degradation or modification on the watermarked content. Furthermore, the method can be extended to video, audio or other multimedia especially for multimedia databases in which the stored multimedia are categorized by their contents or classes.

Abstract: A method, an apparatus and a computer program product for adaptive, content-based watermark embedding of a digital audio signal (100) are disclosed. Corresponding watermark extracting techniques are also disclosed. Watermark information (102) is encrypted (120) using an audio digest signal, i.e. a watermark key (108). To optimally balance inaudibility and robustness when embedding and extracting watermarks (450), the original audio signal (100) is divided into fixed-length frames (1100, 1120, 1130) in the time domain. Echoes (S′[n], S″[n]) are embedded in the original audio signal (100) to represent the watermark (450). The watermark (450) is generated by delaying and scaling the original audio signal (100) and embedding it in the audio signal (100). An embedding scheme (104) is designed for each frame (1100, 1120, 1130) according to its properties in the frequency domain.

Abstract: A method, an apparatus, a computer program product and a system for voice annotating and retrieving digital media content are disclosed. An annotation module (420) post annotates digital media data (410), including audio, image and/or video data, with speech. A word lattice (222) can be created from speech annotation (210) dependent upon acoustic and/or linguistic knowledge. An indexing module (430) then indexes the speech-annotated data (422). The word lattice (222) is reverse indexed (230), and content addressing (240) is applied to produce the indexed data (432, 242). A speech query (474) can be generated as input to a retrieval module (480) for retrieving a segment of the indexed digital media data (432). The speech query (474, 310) is converted into a word lattice (322), and a shortlist (344) is produced from it (322) by confidence filtering (330). The shortlist (344) is input to a lattice search engine (350) to search the indexed content (342) to obtain the search result (352).