Abstract: A breast pump includes a main body and a breast milk suctioning shield. The main body has an accommodation space. The breast milk suctioning shield is assembled in the accommodation space and detachably connected to the main body. A front end of the breast milk suctioning shield has a breast shielding portion, and a nipple passage extends from a rear end of a center portion of the breast shielding portion. One or more deformable members are assembled with an annular connection portion between the breast shielding portion and the nipple passage, and the deformable member is controlled to be inflated or deflated by a first air pump.

Abstract: A method of preventing and handling indoor air pollution is disclosed and includes: providing a portable gas detection device and plural gas exchangers allowed to inhale outdoor gas, purify and filter the inhaled gas, and introduce the inhaled gas into the indoor space, wherein an air pollutant in the gas within the indoor space is exported out to the outdoor for exchanging; disposing 1˜50 gas exchangers within the indoor space, wherein the gas exchangers have an exported airflow rate of 200˜1600 CADR, and the indoor space has a volume of 247.5˜1650 m3; and remotely controlling the gas exchangers to enable filtration, purification and gas exchange by the portable gas detection device when the portable gas detection device detects an air pollutant in the indoor space, to reduce the air pollutant in the indoor space to a safe detection value within 10 minutes, and achieve a clean, safe and breathable condition.

Abstract: A purification device for exercise environment is provided and includes a main body, a purification unit, a gas guider and a gas detection module. The purification unit, the gas guider and the gas detection module are disposed in the main body to guide the gas outside the main body through the purification unit for filtering and purifying the gas, and discharge a purified gas. The gas detection module detects particle concentration of suspended particles contained in the purified gas. The gas guider is controlled to operate and export the gas at an airflow rate within 3 minutes. The particle concentration of the suspended particles contained in the purified gas, which is filtered by the purification unit, is reduced to and less than 0.75 ?g/m3. Consequently, the purified gas is filtered, and an exerciser in an exercise environment can breathe with safety.

Abstract: The present invention provides a method for calculating decision variables. A dummy layer is added at an input layer of a trained neural network predictive model. The dummy layer includes a plurality of artificial neurons respectively connected to a corresponding input terminal of the input layer for the trained predictive model by a newly established link. The input value of each artificial neuron is set to 1, the bias value of the activation function is set to 0, and the output of the activation function is set to 1 when the input of the activation function is 1. The initial weight value of the newly established link is selected and set, and the weight values can be considered as decision variables, wherein the weight values can have ranges or other inter-conditional restrictions.

Abstract: A decision variable calculation method allowing a of reverse derivation requester to calculate decision variables based on a target result by pre-trained models provided by some participants in federated learning. The method includes the steps of providing the target result to each pre-trained model participating in this method and allowing them to reversely derive the input parameters, forming a loss function based on the difference between each pre-trained model and target result, integrating all input parameters into a total input parameter, and integrating all loss functions into a total loss function. An optimization problem is then constructed by the total input parameters and the total loss function. The solution to the optimization problem is the required decision variables.

Abstract: A method for calculating feasible process parameters of the present invention constructs an optimization model by treating a trained predictive model as a function of process parameters to be determined, wherein the objective function is to minimize the difference between the function value and the target result, subject to the conditions that the process parameters to be determined must satisfy, either individually or in relation to each other. Moreover, in order to solve the constrained optimization problem, the method with penalty function and barrier function can be used to convert the constrained optimization problem into an unconstrained optimization problem to make it more convenient to solve.

Abstract: A federated learning contribution calculation method comprises the following steps: a plurality of participants collaboratively developing a federated aggregation model by federated learning method according to their own local datasets; excluding the participation of at least one first participant in all participants, and then the remained participants collaboratively developing a contribution model by federated learning method; and, comparing the value of the first contribution model and the value of the federated model to obtain the contribution of the at least one first participant. The method of the present invention is capable of calculating the contribution(s) of single participant or multiple participants in the federated learning by few additional information and few additional calculations, so as to achieve the fair profit sharing according to the contributions.

Abstract: A method for calculating feasible process parameters to achieve a given process result and the method comprises the following steps of: providing a trained prediction model, obtained by machine learning of a dataset by a machine learning method, wherein the dataset comprises a plurality of samples, each of the samples comprises a plurality of sample parameters, and the trained predictive model is configured to input a plurality of input parameters and generate a prediction result corresponding to the input parameters; setting an expected result as the prediction result of the trained predictive model and providing at least one confirmed input parameters of the input parameters; and comparing the expected result, the at least one confirmed input parameters, and the sample parameters of the samples in the dataset by a reverse derivation algorithm to determine at least one non-confirmed input parameters of the input parameters.

Abstract: A method for calculating decision variables is configured to calculate the unconfirmed decision variables. First, the method provides a trained predictive mode obtained by machine learning through a machine learning method on a dataset. Next, the method transforms the objective function of the trained predictive model from a constrained objective function to an unconstrained objective function. The method then solves the optimization problem of the unconstrained objective function, wherein the optimizer, trained with the trained predictive model, calculates gradients to facilitate the solution process. Additionally, the samples from the dataset used to train the trained predictive model can be utilized to determine the initial samples for solving the optimization problem. The method for calculating decision variables of the invention can also add a dummy layer in front of the trained predictive model.

Abstract: A method for notifying a service life of a filter includes steps of providing a filter for filtering an air pollution source; providing a gas detection device for detecting the air pollution source and outputting the detection data of the air pollution source; providing a connection device for receiving, computing and comparing the detection data of the air pollution source detected by the gas detection device, so as to display a reducing rate of filtering efficiency for the filter; and when the reducing rate of filtering efficiency for the filter reaches a preset alert value, the connection device sends out a notification alert of replacing the filter.

Abstract: A gas detection device is disclosed and includes a housing, an external connector, a power converter, a control processing board, a networking module and a particle detection module. The external connector, the power converter, the control processing board, the networking module and the particle detection module are accommodated in the housing to form a thin and portable device that is easy to carry. Due to the external connector is plug-and-play, when it is plugged in an indoor power supply, the particle detection module activates to detect the suspended particles, and the temperature and humidity sensor activates to detect the temperature and humidity. The detected data information is transmitted to a cloud processing device through the IOT communication by the networking module. An air quality information is immediately transmitted to an indoor air pollution prevention system, and a clean and safe breathing gas state formed in the indoor space is achieved.

Abstract: A breast pump includes a main body, a breast milk suctioning shield, and one or more air pumps. The breast milk suctioning shield is assembled in an accommodation space of the main body and detachably connected to the main body. A front end of the breast milk suctioning shield has a breast shielding portion, and a nipple passage extends from a rear end of a center portion of the breast shielding portion. One or more deformable members and a non-deformable supporting member are assembled with an annular connection portion located between the breast shielding portion and the nipple passage. The air pump has an intake port and an exhaust port. The intake port is controlled by a first valve controller to suction the nipple passage and generate a negative pressure, and the exhaust port is controlled by a second valve controller to inflate or deflate the deformable member.

Abstract: Embodiments of the disclosure provide systems and methods for estimating an amount of monetary loss to an accident damaged vehicle. An exemplary system includes a communication interface configured to receive one or more accident images taken of an accident damaged vehicle. It also includes a database for storing loss data of one or more past vehicles, and each past vehicle is associated with a historical accident. It further includes a processor coupled to the communication interface and the database. The processor is configured to detect the accident damaged vehicle in the one or more accident images, identify one or more most similar past vehicles, and estimate the amount of monetary loss to the accident damaged vehicle based on the loss data of the one or more past vehicles.

Abstract: A smart cloth includes a cloth body, a control body, actuation air-permeable components, temperature sensing components, and a health-monitoring device. The health-monitoring device includes a bio-sensing module, a blood glucose sensor, a blood pressure measurement module, and a gas bag. The temperature information of the wearer is detected by the temperature sensing components and outputted to the microprocessor of the control body, so that the microprocessor controls the actuation air-permeable components to perform the gas-guiding operation to adjust an apparent temperature of the wearer for providing wearing comfortableness. The bio-sensing module, the blood glucose sensing module, and the blood pressure measurement module detect and provide the detection data information for the wearer anytime and in real-time to provide health-related information to the wearer.

Abstract: Methods and computer-implemented methods are used to predict a risk of cardiovascular disease by using a machine learning mode to analyze a relationship between the occurrence of cardiovascular disease and the health data of patients.

Abstract: A fluid pump module includes a heat dissipation board assembly, a fixing frame body, fluid pumps, a control board and a conveying pipe is provided. The fixing frame body is fixed at one side of the heat dissipation board assembly, so as to form two accommodating spaces between the heat dissipation board assembly and the fixing frame body. Two fluid pumps are respectively disposed in the two accommodating spaces. The control board is disposed at another side of the heat dissipation board assembly. The conveying pipe connects the two fluid pumps in series so as to form a series connection therebetween. The control board controls operations of the fluid pumps, and the heat dissipation board assembly dissipates heats produced by a module formed by the two fluid pumps.

Abstract: A system-in-package chip of printer driver system applicable in a printer includes a first chip, a second chip, and a third chip. The first chip, the second chip, and the third chip are arranged in a common package. The first chip and the second chip are arranged side-by-side on a carrier in the common package. The third chip is arranged on a top portion of the first chip in the common package. A wire carrier structure is formed on the top portion of the first chip before the third chip is disposed on the first chip.