The basic core technology of the model is to use REP-601 pressure sensor, and with three layers of silicone rubber material to simulate human muscle tough- ness to reproduce a new simulation arm model. When receiving the experiment, the acupoint position of the simulated arm is pressed to stimulate the press re- ceptor, which generates electrical signals to the pressure sensor by stimulating the press receptor on the surface. Because the pressure sensor corresponds to the acupoint one by one, the sensor that confirms the change of electric signal can confirm whether the acupoint stimulated at this time is correct. In order to im- prove the accuracy of the instrument, save cost and diversify the output of re- sults, parallel-to-serial chips are used to improve the utilization of pins of core chips, and STM32 series chips are used as core chips to identify signals and im- prove the measurement accuracy by combining location algorithm. Because STM32 series chips have the characteristics of high performance, low cost and low power consumption, STM32 series chips are designed through STM32. The image display system displays the relevant information on the acupoint. At the same time, by optimizing the image display system, the teaching of acupuncture and moxibustion in traditional Chinese medicine can be extended to the inter- national market.
STM32F103ZET6 (hereinafter referred to as STM32) is selected to be the main control chip. The chip is suitable for motor control design because it has rich AD conversion channels, advanced timers and PWM channels. As long as the corresponding module register configured, the main energy could be focused on how to improve the performance of the hardware circuit, regardless writing complex procedures which is modularized already. For the problems in the run- ning process of the system, it is convenient to debug and maintain. In addition, the external pins of the chip are abundant. While only a small number of exter- nal pins is used, the other parts can be left to do more extended functionality of the development and application.
An open-ended and multifunctional double-channel signal generator, which based on a 32 bits monolithic integrated microcomputer, highly integrated device and LCD, is introduced in this paper. The instrument is composed of micro- computer STM32F103RD and some integrated chips (IC), which includes programmable waveform generators- AD9833 with highly frequency and phase precision. As a result, this signal generator may output not only double chan- nels accurate sine, square or triangle waveforms with digital-controlled frequency and phase at the same time, but also many kinds of physiological signals that can be modified by USB connection with well open property. Therefore, it is convenient to measure and teach about hearing, research and study on frequency characteristic of human ear and im- pedance characteristic of human body in medical science. In addition, it is also very easy in experiment and research of college and medical physics for using double channels sine signal to show synthesis of two simple harmonic vibrations under different frequency, phase difference and direction, such as beat pattern and Lissajous figures. Thus it has many merits, such as the small volume, stable property, simple operation, visual display and so on. Consequently, it can be widely used in researching, teaching, debugging and maintaining.
The remote automatic monitoring system of debris flow takes STM32 as the control core, selects 24bit high-precision chip ADS1256 to perform analog to digital conversion of sampled signals, and transmits the real-time monitoring data to remote monitoring terminal by 3G wireless communication. Meanwhile, the remote automatic monitoring system of debris flow uses GPS module to synchronously calibrate the time, so the signal acquisition accuracy of the system has been improved. In this paper, the whole design process is considered from two aspects: hardware design and software design. With the system measurement accuracy being better than ±0.1%, it is a great improvement on the sampling accuracy and the stability of the system.
In this paper, a new method for incremental encoder-based motor speed measurement has been proposed and its implementation on a STM32F103CB microcontroller has been introduced. In this method, the counted encoder pulse number is auto changed every sample period according to the motor speed to guarantee high accuracy for a wide speed range. With this method, we obtain a more accurate speed measurement and rapid response than the conventional variable M/T method. According to our experiment, we got a very small speed error in the frequency range of 100 Hz to 100 KHz, which is 12 RPM to 12000 RPM for the motor in our system. So it can offer a more accurate speed feedback signal for the speed controller and improve the performance in a wide speed range for the numerical control system or servo system.
Agile software development work on twelve principle for software development which implies requirements and solutions evolved through the combined team work of disciplined and interdisciplinary teams. The objective of this paper is to connect agile methodology with Version Control System for more efficient and effective utilization of resources. In this proposed model based on agile methodology, the Version Control System plays a vital role to make work done faster as compared to SCRUM. This paper compares various existing agile methodologies. The efficiency of the proposed model is proved through comparative analysis with existing agile methods and using ANOVA mathematical model. Bitbucket as Version Control System is used as web based hosting service and the proposed model is compared by maintaining similar sprints in SCRUM and VSprint model. VCS and previous SRS documents are the important components of this proposed model which helps in increasing the work speed at different phases of software development which the existing models does not consider.
Waste is an endless problem that increases in terms of number and quality annually. The increase is along with the growth of population in Makassar as well as the growth of other industry sectors. In addition, there is also limitation of facilities and infrastructures, Final Disposal Site, and other facilities are effective and efficient in managing the waste. Based on the data Department of City Parks and Sanitation Makassar, the generated waste reached 4.183.41m3/day in 2016 in Makassar while only
After fingerprints or iris digital, biometric identification of an individual can now be done through the veins of the hand. This technique uses a “palm vein scanner”: it is an optical sensor capable of “photographing” the palm vein using the “near infrared rays.” This technique uses a “palm vein scanner”.Biometric authenticationbyrecognition offinger veinorpalmis especially developed by Hitachi and Fujitsuin Japansince 2005. Compared to thetechnologyusingfingerprint recognition, it offers the advantage of beingsafer andit does not involveany physical contactwith the sensor.Vein recognitionis performed byremote effectoptically. This paper presents a survey of the biometric systems technology based hand vein.We first review the component modules including the algorithms they employ. Finally, a summary of the accuracy results reported in the literature is also provided.
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Proteins are widely distributed in nature and are synthesized mainly in animals, i.e. collagen, keratin, gelatin, and etc., and in a few plants such as Soya. In general, proteins are high molecular weight polymers and their solubility in aqueous solutions is difficult. Two efficient methods for preparation of aqueous soluble proteins are alkaline and enzymatic hydrolysis. According to the literature survey based on Chemical Abstract Service, a few studies have been reported in the case of graft copolymer based on protein 11-13 .
Computation of MFPT has been carried out on networks constructed from tessellation of mod- ular group on a hyperbolic plane with different sizes. Computing MFPT enables us to know what is the mean time for a random walker to reach a particular node for the first time. With the MFPT values for every node in a particular network, we can compute the average trapping time (ATT), hT j i for a particular trap node j taken over all starting points in the network. ATT is important as it can be used to charac- terize the network structural properties based on transport efficiency. One example of trap- ping problem is the work of Montroll (1969) in the application to excition trapping on photo- synthesis units.
Thus, a number of requirements are put forward for membrane characteristics, optimization which should be carried out as a whole, because of their close interrelation. Another important factor is the production cost of the finished membranes. Our review is devoted to the considerations of the various types of PEM used in fuel cells operating at temperatures up to 100°C, their main characteristics, advantages and disadvantages. The class of polyimide-based hydrocarbon proton-exchange membranes is separately considered as promising for widespread use in fuel cell, such membranes are of interest for our further experimental development. Proton-exchange membranes based on polymers
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This is related to poverty because there are two things. First, natural conditions are measured in the potential for soil fertility and natural wealth. Second, equitable development, both related to rural and urban development, or development between provinces in Indonesia. In addition to seeing poverty there are other dimensions, namely non- income dimensions, such as low educational attainment and provision of access to basic services in various regions, especially in the eastern part of Indonesia, this reinforces the existence of gaps based on geographical location. These factors are related to each other which form a vicious circle of poverty (vicious circle of poverty). Poor households generally have low education and are concentrated in rural areas, because of their low education, their productivity is low so that the benefits they receive are not sufficient to meet the needs of food, clothing, health, housing and education. As a result, households are also involved in the next generation. In addition, there are backwardness, market imperfection, and lack of capital.
Abstract:- The aim of the surveillance system is to detect and track the target object. For surveillance application in sensitive areas, there is need to have an unmanned tracking system by using wireless visual sensor network. This paper proposes a target tracking system based on block compressive sensing that utilizes minimum amount of data for processing. It also aims at improving quality of frame reconstruction and tracking of the moving object by minimizing the computational complexities in real time scenario. The use of Kalman filter technique for tracking improves the performance of the system.
OCR consists of phases like image acquisition, preprocessing, segmentation, feature extraction, classification and recognition. The task of preprocessing consists of image conversion and noise removal. In this paper, the most important state is Feature Extraction where OCR recognizes character based on the features .After the extraction of the features it will check the similarity between the given input characters to the inbuilt characters. Next phase is classification and recognition. In this phase we are using a template matching based on features method which gives the target output. The applications of OCR are mail sorting, invoice imaging, banking, health sector, digital libraries, automatic number plate recognition, handwritten recognition.
The clustering algorithm that first collected the statistical data samples and then analyse their features and then finally classifies them to different clusters. The distributed clustering algorithm focus on the multidimensional is concerned. The distributed k-mean algorithm is a simple and efficient clustering algorithm it can process massive data efficiently. In this paper the distributed k-mean clustering algorithm based on map reduce computing is divided into the steps like randomly select the initial center and initial parameter, put all data object into function map and by comparing the distance from data object to the center, select the point of minimum distance as a center and output are form as a map fragment. To improve the distributed k-mean clustering algorithm the classic Euclidian algorithm will used for calculating the distance.
Abstract—SMS and Texting is an important feature of using Mobile phone and we also know that the mobile phone usage is spreading over the World rapidly and has gone through the number of features due to new techniques and Developers. This paper is based on creating an application that works on Google libraries and API’s for conversion of Text-To-Speech and Speech- To-Text converter. It also works for Searching Contact with the Alphabets and Numeric read. Mainly the goal of the project is, it is for those who not be in the position of using mobile phones for texting ,surfing on web and dialing calls such kind of the communicating features ,so we called it as an Application that is useful for society .In other words,messaging can be completely based on speech recognition. The Application converts your text into the speech, speech into text, search a contacts manually from contact list or can be selected by taking name of a person which is voice based. We can select a multiple contacts for sending a message to multiple people at a time. Previous speech recognition system was difficult to use and it was having a lots of drawbacks, with leads in new technologies and techniques it is possible to generate a desire speech recognition system. This comes with lots of features by using an algorithm i.e Hidden Markov Model(HMM),which makes it possible to get a desire output. Another technologies are Android System, SR (speech recognition) libraries i.e. speech API’s which is used in this paper.
been reported 5-9 . Homopolymerization of bismaleimides has been shown to possible only either at elevated temperature or in the presence of an initiator 10,11 . Patel at el. reported the synthesis of amino terminated oligoimides based on Michael addition reaction of bismaleimide with 4,4'-diamino diphenyl sulfone 12,13 . Such oligoimides having terminal amino groups that make them suitable for further reactions such an amidation. The amidation of such amino terminated oligoimide with various diesters can afford novel poly(amide-imide)s possessing improved properties. The presence of the structural features of both amide and imide in the PAIs was expected to imbibe almost all the essentials and remove the shortcomings of neat polyimides. Much less, work is done in this field of PAIs and several anticipated applications prompted us to undertake the research work reported in the present research paper. The research
 Cheng, L., Zhang, G., Wan, B., Hao, L., Qi, H., Ming, D., Radial Basis Function Neural Network-based PID Model for Functional Electrical Stimulation System Control ，31st Annual International Conference of the IEEE EMBS Minneapolis, Minnesota, USA, September 2-6, 2009. 3481-3484.
Nowadays, high-speed digital image processing is used in a wide variety of fields such as robot vision, computer vision, image processing in high-definition television, image processing in automation systems, industry. Network neural network technology is implemented on hardware that uses CMOS, FPGA, SoC, VsoC, optical technology, etc… Processing systems applied technology of cellular neural network are now generally designed with combinational and hybrid architectures such as integrated cellular neural network chip with DSP and optical sensors, or other sensors to receive directly the signal array into the cellular neural network chips. Cells of cellular neural networks are multi-layer, multi-interaction, high-order interaction combined directly with sensors. This structure is similar to the biological structure of the retina in mammals.Cellular Neural Networks in image processing work in parallel on both hardware and software. Hardware-based operations for high-speed image processing includes both input and output. Image signals can be captured from a high-resolution CMOS sensor or from a processor-specific sensor designed as a mammalian retina with a large number of cellular processors. When the array size is larger than that of the processor, it is proposed to use the Tilling technique to divide into smaller arrays that handle sub arrays, and then multiply. The processing in DSPs is serial sequential processing. Neural network processors can operate in standalone mode, boot from programs in EEPROM or work with digital computers over Ethernet, Wifi, optical fiber, etc...
Flight movement can be controlled by using radio frequency controlled joystick. The pwm signal generated by the autopilot controller is used to control the ailerons, elevator and rudder.This paper focuses mainly on design and implementation of autopilot controller. Design of autopilot board is done using Cadence Orcad tool which includes MCU with 3 sensors (i.e., Pressure sensor (BMP 180), IMU (MPU 9150) and magnetometer (HMC 5840)) interfaced using I2C protocol. The SPI protocol is used to interface the external flash for data logging. The data from the 3 sensors are recorded and used To calculate pitch, roll and yaw in degrees, pressure in hPa, temperature in ºC, altitude in meters, and magnetic field in gauss which in turn stored in the flash. Now the calculated pitch, roll and yaw angles are compared with the threshold value then If there is any change in the angle detected or the change in the position of the wing then autopilot controller detect the variation and generate the pwm signal accordingly based on the variation and it will be given to the servo motor placed in order to control the principal axis of the flight i.e., to control the ailerons, rudder, and elevators. This is depicted in Fig.2.