The sum and difference branch phases of satellite monopulse tracking system are easy to change greatly with the change of geographical location and ambient temperature and humidity, which leads to the performance degr...
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ISBN:
(纸本)9783030152352;9783030152345
The sum and difference branch phases of satellite monopulse tracking system are easy to change greatly with the change of geographical location and ambient temperature and humidity, which leads to the performance degradation of servo tracking system. Through the analysis of the principle of monopulse tracking and the realization principle of RF phase calibration system, the basic factors affecting its key performance are found out. Through practical application, the key performance indicators are improved to meet the demand of dynamic conditions.
This paper is aimed at showing the relevance and importance of high quality dataset in machine learning within the field of economic intelligence. As open source dataset flourish and algorithm are trained with differe...
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ISBN:
(纸本)9783030295165;9783030295158
This paper is aimed at showing the relevance and importance of high quality dataset in machine learning within the field of economic intelligence. As open source dataset flourish and algorithm are trained with different and often very narrow data of various kind, in the field of economic intelligence it is important to train machines with proper and high value data to avoid or reduce at maximum false positives, errors and biases of various kind. We propone the case study and the solution offered by Bureau Van Dijk, where economic data are carefully evaluated, organized and its API and REST services could matter in the very near future in the field of data mining and machine learning for economic intelligence purposes.
This paper presents the implementation of a supervised machine learning method for the detection of transmission towers. For this purpose, the authors have relied upon satellite images of an object taken at four magni...
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ISBN:
(纸本)9783030306045;9783030306038
This paper presents the implementation of a supervised machine learning method for the detection of transmission towers. For this purpose, the authors have relied upon satellite images of an object taken at four magnification levels. The data processing was carried out by using a real-time object detection convolutional neural network. The data where the position and a label of the transmission tower were marked manually has been divided into a training, validation and test sets, which were used for later method evaluation. The analysis, that is provided further in the article, covers a network operating within a few alternative training scenarios and within a data which consists of various image magnification levels. It is extended with the discussion on the optimal parameters setting and their influence on the outcome classification. After evaluating several different network configurations using 4944 labelled satellite images, the highest performance obtained using the test set was of an accuracy of 0.9676, a precision of 0.9522, and recall of 0.9361.
By utilizing the monthly potato market price data from 2011 to 2015 and time series model such as X11 seasonal adjustment method and H-P (Hodrick-Prescott) filtering method, this paper analyzes the period and rule of ...
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ISBN:
(纸本)9783030212551;9783030212544
By utilizing the monthly potato market price data from 2011 to 2015 and time series model such as X11 seasonal adjustment method and H-P (Hodrick-Prescott) filtering method, this paper analyzes the period and rule of potato market price fluctuation. The study found that the peak of the National Potato Price Index appears around every May, the lowest point appears around every October, the highest and lowest points appear alternately each year. In the past 5 years, the potato price fluctuation in China is large, the fluctuation frequency is high, on the average, the drop of peak and valley variation rate is 42.18%, the average rising month for each cycle is 7.25months, with an average cycle length of 14.25 months.
Entomological surveillance is used in majority of the countries around the world. The main objective of this process is to monitor, control and prevent the occurrence of a dengue outbreak. In Malaysia, Entomology and ...
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ISBN:
(纸本)9783030335823;9783030335816
Entomological surveillance is used in majority of the countries around the world. The main objective of this process is to monitor, control and prevent the occurrence of a dengue outbreak. In Malaysia, Entomology and Pest Unit (EPU) from the State Health Office is a local division that is responsible for performing the dengue surveillance operations. There exists human-related risks due to the procedures of predicting cryptic breeding sites and upcoming dengue outbreak locations are done manually. This paper discusses the implementation and results of Aedes Entomological Predictive Analytic Dashboard (AePAD) application. The AePAD multi-platform application provides several features especially historical ovitrap data retrieval and visualization to predict the possible cryptic breeding sites of Aedes mosquitoes and upcoming dengue outbreak locations prediction using Deep Neural Network (DNN). It is hoped that the application will be able to help the EPU team in performing better prevention and strategic control operations, thus enhancing the existing dengue surveillance systems and minimizing future dengue outbreaks in Malaysia.
Automated lip reading (ALR) is a new mode of human-computer interaction and can directly recognize the speech content from the lip motion image sequences of the speaker. Using ALR based on convolutional neural network...
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ISBN:
(纸本)9783030200404;9783030200398
Automated lip reading (ALR) is a new mode of human-computer interaction and can directly recognize the speech content from the lip motion image sequences of the speaker. Using ALR based on convolutional neural network to realize the control of the set-top box to power on/off, change the channel and adjust the volume is a challenging and useful work. The paper uses a coupled three-dimensional convolutional neural network (3D-CNN) architecture that calculates the similarity between the captured lip instruction characteristic image and the standard image after training. We identify the control commands, change the channel and adjust the volume to achieve new control mode for set-top boxes. The experimental accuracy of lip-reading recognition is obviously improved compared to other similar methods. We are making a meaningful exploration for the practical use of ALR and our results and application experience can be easily extended to other machines and smart home systems.
Development and advancement of medicinal field are the major motivations of research. The need of having an accurate early prediction, diagnosis, and detection of disease for humankind is the other motivation. Traditi...
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ISBN:
(数字)9789811524493
ISBN:
(纸本)9789811524493;9789811524486
Development and advancement of medicinal field are the major motivations of research. The need of having an accurate early prediction, diagnosis, and detection of disease for humankind is the other motivation. Traditional approaches of disease classification use very limited information, and experience of diagnosis is lacking. Few doctors in a small hospital would be able to diagnose critical disease based on their experience, and when it comes to disease like cancer, where time and experience is very critical, it becomes important to get the right diagnosis done at the right time by experienced and trained system or doctors. If the diagnosis/treatment is provided on time (i.e., within the golden hour), then saving a patient would be an easier and more promising task.
At our university, we have been educating engineer teachers for more than 40 years and mentor teachers for 9 years. Mentor teachers can support the preparation process of our engineering teacher students in secondary ...
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ISBN:
(纸本)9783030402716;9783030402709
At our university, we have been educating engineer teachers for more than 40 years and mentor teachers for 9 years. Mentor teachers can support the preparation process of our engineering teacher students in secondary vocational schools by coaching their teaching practice. In 2018, we had organized a survey to measure the presentation skill of mentor teachers and how they can use it in the teaching-learning process. For the survey, we had elaborated a questionnaire. The purpose of the questionnaire was to survey in four parts the presentation skill of mentor teachers. In the first part, we studied their personal data: age, sex, area of teaching, type of school of work. In the second part, we involved questions about the preparedness of their presentation skill, whether they had learnt educational technology at university in the teacher training period, how they had learnt to make presentations, if they knew the basic rules of editing presentations. In the third part, we were interested in managing resources for editing presentations. In the fourth part, we measured the application of presentations in their teaching-learning process. This paper focuses only on part 3, where we measured what kind of sources they use for the preparation of presentations, and whether they analyze the reliability and validity of Internet sources. We elaborated a hypothesis: Generally, it is only in few cases that teachers analyze the reliability and validity of Internet sources when they select information and apply them. In this study, we described the analyses of reliability and validity of Internet resources used for preparation of presentations. The application of Internet resources needs prudential work. Each time, we have to check the reliability of the applied data, prepare ourselves for the presentation, keep to the rules of citing, avoid plagiarism, and decide if we need to ask a specialist for improving.
In order to solve the problems of noise interference in mobile phone microphone array, the traditional algorithms and blind source separation algorithms are compared and analyzed to enhance the mobile speech. Under th...
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ISBN:
(纸本)9783030152352;9783030152345
In order to solve the problems of noise interference in mobile phone microphone array, the traditional algorithms and blind source separation algorithms are compared and analyzed to enhance the mobile speech. Under the conditions of unknown mobile communication environment, the blind source separation algorithm is adopted to solve the problem. The mixed matrix is derived from the observed signal and the needed source signal is obtained by the inverse matrix. The separation effect is good and the intelligibility of the separated speech is high.
A data breach is the intentional or inadvertent exposure of confidential information to unauthorized users. In the digital world, data has become most important thing in enterprise. Data leaks provide serious threat t...
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ISBN:
(纸本)9789811510847;9789811510830
A data breach is the intentional or inadvertent exposure of confidential information to unauthorized users. In the digital world, data has become most important thing in enterprise. Data leaks provide serious threat to organizations, financial, and reputation of the company. As the data growing exponentially and data breaches are also increasing, detecting, and preventing data leaks become most one of the security concerns for company. Here we use the IP address to identify the users and hackers and administrator looks for the users IP address and block Hackers IP address so that data leakage is not possible from a third party. Hackers try to acquire information through SQL injection and our paper suggests a way to prevent it. This paper helps to detect and prevent the data breach while sharing the data with the consumer and improve the probability of preventing the unauthorized users while sharing the data.
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