248results about "DNA computers" patented technology

DNA is a natural molecular level storage device. Molecular storage devices use each molecule or part of it for storing a character. Thus it is possible to store information million of times than presently used storage devices. For example a JPEG image (i.e. flag of India) having file size of 1981 Bytes can be encrypted using 7924 DNA bases which occupies about 2694.16 nanometers In other words flag of India can be encrypted 8.07×105 times in human genome which comprises 6.4×109 DNA bases and occupy a tiny volume of about 0.02 μm3. A method for storing information in DNA has been developed which includes software and a set of schemes to encrypt, store and decrypt information in terms of DNA bases. The main advantages of the present method over exiting art is that it addresses complete set of extended ASCII characters set and thereby, encryption of all kind of digital information (text, image, audio etc.). First of all, information is, encrypted along with carefully designed sequences known as header and tail primers at both the ends of actual encrypted information. This encrypted sequence is then synthesized and mixed up with the enormous complex denatured DNA strands of genomic DNA of human or other organism.

A method for storage of an item of information (210) is disclosed. The method comprises encoding bytes (720) in the item of information (210), and representing using a schema the encoded bytes by a DNA nucleotide to produce a DNA sequence (230). The DNA sequence (230) is broken into a plurality of overlapping DNA segments (240) and indexing information (250) added to the plurality of DNA segments. Finally, the plurality of DNA segments (240) is synthesized (790) and stored (795).

A whole-life-cycle power output classification prediction system for photovoltaic systems. The power output classification prediction system comprises a basic information storage module, a database module, a prediction model judgment module, a prediction data pre-processing module and a prediction modeling module. The system selects different prediction models to carry out training and predication according to acquired data types and operation time of the photovoltaic system, is a modularized and multi-type photovoltaic system output power prediction system, can be suitable for output power prediction requirements of a majority of photovoltaic systems at present, can carry out customization according to the scale of the photovoltaic system, user requirements, etc., can both meet economic requirements and reliability requirements, and has good adaptability and transportability. The prediction method can update automatically. The prediction system can carry out automatic operation management. And relatively high prediction precision and stability are achieved.

A method and system learns functions to be associated with data fields of forms to be incorporated into an electronic document preparation system. The functions are essentially sets of operations required to calculate the data field. The method and system receive form data related to a data field that expects data values resulting from performing specific operations. The method and system utilize machine learning and training set data to generate, test, and evaluate candidate functions to determine acceptable functions.

A self-assembly method for circuit patterns includes generating a set of tiles, each of the tiles corresponding to a segment of molecules, the set of tiles comprising a set of rule tiles and a set of boundary tiles, each tile having one or more binding regions; assigning a label from a set of labels to each binding region; self interacting, with attractive forces, one or more of the tiles with one or more other tiles among the set of tiles; associating using selective interaction of at least one boundary tile from the set of boundary tiles with at least one rules tile from the set of rules tiles based upon at least a label from the one boundary tile and at label from the one rules tiles; and bonding at least one binding region of the one boundary tile with at least one binding region of the one rules tile.

The present invention provides a method for designing DNA code consisting of a set of information codes as an information carrier to write optional information into an optional noncoding region not including any DNA genetic information which can avoid an error occurring when the designed DNA is used. A set S1 of the base sequences corresponding to a signal unit for information transmission is obtained as follows: 1) selecting a template such that its Hamming distance of templates, against its block shift, and against the ligated sequences are equal to or above the predetermined value, when DNA sequence of predetermined length is specified by the binary string of 0 and 1 (template), meaning that the position of G or C ([GC]), or A or T ([AT]) are fixed, 2) further selecting a template having a subword constraint of length m from the set of the selected templates, and 3) combining thus selected template and codewords of the predetermined error-correcting codes having a subword constraint of length m.

The invention relates to the technical field of information, in particular to an application program menu recommendation method and device. The application program menu recommendation method includes the steps of providing an application program history list, a to-be-predicted item number and a prediction model, inputting the application program history list and the to-be-predicated item number to the prediction model to obtain an application program recommendation list, and recommending application program menus according to the application program recommendation list. The application program menu recommendation device comprises a model providing model, a prediction model and a recommendation module. The application program menu recommendation method and device can improve application program recommendation accuracy.

A hardware device is for performing crossover and mutation operations based upon a genetic algorithm. The hardware device may include a random or pseudo-random number generator, and a crossover block, conditioned with a random crossover index, for generating output crossover bit-strings from current bit-strings. The device may also include a mutation block, conditioned with a random mutation index, for generating output bit-strings by switching at least one bit of each input bit-string pointed to by the mutation index. A memory may temporarily store the current bit-strings and the output bit-strings. In addition, the hardware device may include a control unit, interfaced with the random number generator, the crossover block, the mutation block and the memory and managing their functioning by generating respective control signals therefor.

A microelectronic network is fabricated on a fibrous skeleton by binding or complexing electronically functional substances to the nucleic acid skeleton. The skeleton comprises fibers with nucleotide chains. The assembly of the fibers into a network is based on interactions of nucleotide chain portions of different fibers

The invention discloses a soft measurement method for load parameters of a mill. The method adopts various different signal decomposition technologies to decompose the original cylinder vibration signal and vibration-sound signals into a series of sub-signals based on different perspectives for multi-scale and unsteady characteristics of the cylinder vibration and vibration-sound signals. The selected sub-signal spectrum and the original signal spectrum are taken as multisource multi-scale information to construct a soft measurement model for the load parameters of the mill. A global optimization selective ensemble kernel partial least squares (GOSENKPLS) based on an adaptive genetic algorithm (AGA) and a branch-and-bound (BB) algorithm is adopted to carry out optimization selection on structural parameters and learning parameters of candidate sub-models and a selective ensemble model (SEN model), so that the effectively selective fusion of the multisource multi-scale signals is realized. According to the method, the accuracy for soft measurement of the load parameters of the mill can be improved.

Current technologies allow the generation of artificial DNA molecules and / or the ability to alter the DNA sequences of existing DNA molecules. With a careful coding scheme and arrangement, it is possible to encode important information as an artificial DNA strand and store it in a living host safely and permanently. This inventive technology can be used to identify origins and protect R&D investments. It can also be used in environmental research to track generations of organisms and observe the ecological impact of pollutants. Today, there are microorganisms that can survive under extreme conditions. As well, it is advantageous to consider multicellular organisms as hosts for stored information. These living organisms can provide as memory housing and protection for stored data or information. The present invention provides well for data storage in a living organism wherein at least one DNA sequence is encoded to represent data and incorporated into a living organism.

The present invention provides a multi-intelligent robot task distribution method facing a dynamic task which mainly solves the multi-task distribution problem of a task state quantity with time-variant characteristics. The method comprises the steps of: obtaining dynamic task feature parameters, combining intelligent robot ability parameters, and establishing a feature equation of a task point state quantity; according to the feature equation, designing an intelligent robot revenue function; according to the revenue function, designing a genetic algorithm fitness function; further designing agenetic algorithm difference selection operator and a local mutation operator, and providing an algorithm repair strategy; and finally, employing the genetic algorithm to generate an intelligent robot task distribution scheme to complete multi-task distribution. The multi-intelligent robot task distribution method takes obtaining of system maximum return as a target to achieve dynamic multi-taskrapid distribution, solve the algorithm chromosome deadlock problem and avoid that search falls into local optimum, and through a multi-stage distribution strategy, the method can fully deploy intelligent robots in the system to participate in task completion so as to improve the whole efficiency of the system.

The invention provides, inter alia, recombinase-based systems that provide for integrated logic and memory in living cells such as mammalian cells. The nucleic acid cassettes, switches, and systems described herein allow for control of gene expression or gene regulation. The invention also provides nucleic acid-based switches for adopted T-cell therapy.

The invention provides a construction method and a construction device as well as a sorting method and a sorting device for a support vector machine sorter, wherein the method comprises the steps of determining a non-linear weighted kernel function; determining a non-convex Lp fraction norm punishment target function based on the weighted kernel function; constructing the support vector machine sorter by utilizing the non-convex Lp fraction norm punishment target function. Compared with the technical scheme in the prior art, in which when high-dimensional small sample data are sorted, all characteristic-dimensional combinations need to be traversed to find the needed characteristics, the method has the advantage that the constructed support vector machine sorter can realize the characteristic selecting function of a sample original space after the non-linear kernel mapping; the method can be used for sorting the high-dimensional data to generate a more sparse model, realize more accurate characteristic selecting and obtain a better predication accuracy, so the calculation complexity is greatly reduced, and a data disaster is avoided.

The invention relates to a method and a device for dynamically predicting a service life of a flash memory chip online. According to the method, reliability information of the flash memory chip is collected online, and a new life prediction operation is performed continuously, so as to overcome the defects of the conventional prediction technology, and perform the real-time predication on a remaining life of the flash memory chip.

The invention relates to the technical field of information storage, in particular to a DNA-based information storage method. A long sequence in vivo DNA information storage technique is provide. Themain goal is to construct a coding system with strong error correction mechanism based on LDPC and BCH codes, which can reduce the redundancy of primers and indexes by long sequence coding, and achieve a high actual carrying capacity (above 97%). The main goal is to construct a medium-length DNA sequence (above 1Kbp). Saccharomyces cerevisiae in vivo assembly system is used to assemble and store long sequences and preserve information, and the information can be replicated at low cost, high fidelity and high speed by model organisms such as Saccharomyces cerevisiae, Escherichia coli or Bacillus. At the same time, because of the existence of strong error correction system, the data in the bacterial cell can be reduced perfectly with low coverage (1-5 X) in the second generation and third generation sequencing.

The invention relates to an evolutionary multi-objective optimization community detection method based on affinity propagation. The method is characterized by comprising the first step of starting the evolutionary multi-objective optimization community detection method based on affinity propagation, the second step of reading in an adjacent matrix of a network, the third step of setting correlation parameters, the fourth step of selecting a similarity measuring method based on signals, the fifth step of selecting the clustering method of affinity propagation, the sixth step of selecting a multi-objective evolutionary algorithm, the seventh step of obtaining a preliminary partition result based on the fifth step and obtaining a further partition result based on the sixth step, and the eighth step of finishing the evolutionary multi-objective optimization community detection method based on affinity propagation. According to the evolutionary multi-objective optimization community detection method based on affinity propagation, a complex network can be partitioned more precisely and rapidly.

The invention discloses a service selection method oriented to a mobile edge computing environment. The method comprises the following steps: (1) collecting all equipment information, service information and connection information between equipment in a system; (2) receiving a service request; (3) selecting a service for the service request by using a GAMEC algorithm; and (4) computing a destination edge server according to a service selection scheme and a user path. Compared with the prior art, the service selection method has the advantages that the location movement of a user in a service selection process is considered, and movement information of the user is fused into the service selection, so that the overall response time of the service is reduced through the service selection. Moreover, a selection scheme of the destination edge server is proposed, thereby further reducing the service response time. Moreover, a temperature control mechanism of a simulated annealing method is introduced into a genetic algorithm, so that the searching range of the algorithm can be enlarged at the initial stage of the algorithm; local optimum is avoided effectively; the convergence speed is increased at the termination stage of the algorithm; and the efficiency of the algorithm is increased.

A microelectronic network is fabricated on a fibrous skeleton by binding or complexing electronically functional substances to the nucleic acid skeleton. The skeleton comprises fibers with nucleotide chains. The assembly of the fibers into a network is based on interactions of nucleotide chain portions of different fibers.

The invention discloses an energy-saving risk probability considered provincial power grid electricity purchasing decision making system. The system comprises a power plant tradable electricity quantity input unit, a random risk probability environment simulation unit, an electricity purchasing scheme generating unit and an electricity purchasing cost and energy-saving risk probability output unit. An electricity purchasing model is built inside the system, and a provincial power grid electricity purchasing scheme is obtained. According to the energy-saving risk probability considered provincial power grid electricity purchasing decision making system, the network loss factor of market transactions in an energy-saving electricity market is considered, and unit transaction electricity quantity energy-saving benefit evaluation indexes are built; with the reference of the probability risk concept, the market price, hydropower unit electricity quantity generation and randomness of system load electricity quantity requirements are considered, power grid company market electricity purchasing energy-saving risk probability indexes are built, an energy-saving risk probability considered provincial power grid electricity purchasing model is built in a randomly-planned theoretical framework for achieving optimization management of power grid company market electricity purchasing energy-saving risks, and a genetic algorithm with the dominant embedded target and the Monte-Carlo random simulation technology is adopted for solution.

A platform for transcriptome deconvolution of gene expression data is provided and may be used in assessing metastatic cancer samples. The deconvolution is performed using an unsupervised clustering technique, such as grade of membership, that allows for samples to be assigned to multiple clusters during a training process. A deconvolution gene expression model is generated as a result and is used for accurate assess of metastases in subsequent samples.

The present invention relates to a method, device and software product for converting data into a data DNA sequence and restoring the DNA sequence library into raw data, and a storage medium for storing the software product. The method for converting data into a data DNA sequence comprises: dividing data into one or more data conversion units, providing a binary sequence for each data conversion unit, and converting each data conversion unit into a data DNA sequence according to a dataDNA sequence conversion rule, thus acquiring a data DNA sequence library, which makes biological storage of data in vivo possible by constructing a data DNA library.

The present invention is directed to a memory device having very high storage density capability. In general, the memory device includes an array of individual memory cells which store information that is assigned a value based on the molecular contents of the memory cell. In a preferred embodiment, the molecules utilized for storing information in the memory cells may be single-strand polynucleotides, for instance single-strand oligonucleotides of between about 5 and about 20 monomer units. The present invention is also directed to methods and systems useful for writing and reading the molecular-based memory devices. In particular, the devices may be written and read via modified atomic force microscopy processes.

The disclosure provides a novel system of storing information using a charged polymer, e.g., DNA, the monomers of which correspond to a machine-readable code, e.g., a binary code, and which can be synthesized and / or read using a novel nanochip device comprising nanopores; novel methods and devices for synthesizing oligonucleotides in a nanochip format; novel methods for synthesizing DNA in the 3′ to 5′ direction using topoisomerase; novel methods and devices for reading the sequence of a charged polymer, e.g., DNA, by measuring capacitive variance as the polymer passes through the nanopore; and further provides compounds, compositions, methods and devices useful therein.

The disclosure provides a novel system of storing information using a charged polymer, e.g., DNA, the monomers of which correspond to a machine-readable code, e.g., a binary code, and which can be synthesized and / or read using a novel nanochip device comprising nanopores; novel methods and devices for synthesizing oligonucleotides in a nanochip format; novel methods for synthesizing DNA in the 3′ to 5′ direction using topoisomerase; novel methods and devices for reading the sequence of a charged polymer, e.g., DNA, by measuring capacitive variance as the polymer passes through the nanopore; and further provides compounds, compositions, methods and devices useful therein.

A device, system and method for molecular computing which not only includes a suitable, renewable power source, but actually is able to receive power through the performance of the computations themselves. The molecular computing machine of the present invention actually employs the free-energy difference between its input and output to accomplish a computation, preferably by using its input DNA molecule as a partial source of energy, or alternatively by using the input DNA molecule as the sole source of energy. This molecular finite automaton preferably transforms an input DNA molecule into an output DNA molecule by digesting the input as it computes.

A method for storage of an item of information (210) is disclosed. The method comprises encoding bytes (720) in the item of information (210), and representing using a schema the encoded bytes by a DNA nucleotide to produce a DNA sequence (230). The DNA sequence (230) is broken into a plurality of overlapping DNA segments (240) and indexing information (250) added to the plurality of DNA segments. Finally, the plurality of DNA segments (240) is synthesized (790) and stored (795).