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This paper briefly introduces the Command Query Responsibility Segregation (CQRS) and discusses the performance of the architecture. The pattern is separated from the business by modifying the behavior of modifying (adding, deleting, modifying the system state) and querying (without modifying the system state), making the logic clearer and easier to target different parts Optimization, and finally...
Facial expression recognition is a very important research field to understand human emotions. Many facial expression recognition systems have been proposed in the literature over the years. Some of these methods use neural network approaches with deep architectures to address the problem. Although it seems that the facial expression recognition problem has been solved, there is a large difference...
Barter system is an alternative commerce approach where customers meet at a marketplace in order to exchange their goods or services without currency. E-barter systems, also gain attention with the rise of e-commerce. Barterers search databases for goods and services they need. In this paper, the integration of ontology and agent systems is proposed as a solution for searching in diverse barter databases...
The landscape plant as spatial element used in the construction of parametric configuration system is a fresh concept and technical innovation. This System is aimed to help designers without botany knowledge to finish some simple plants arrangements. Through the construction of plant parametric configuration system and some typical trees and shrubs parametric database, we use examples to illustrate...
With the development of next-generation sequencing technologies, large number of transcripts has been accumulated in public databases. Long non-coding RNAs (lncRNAs), typically above 200 nucleotides in sequence length, have recently attracted increasing interests because of their important roles in various cellular processes. While it is straightforward to distinguishing lncRNAs from most small non-coding...
This paper proposes a hybrid speaker diarization system. The main body is a variational Bayes — hidden Markov model (VB-HMM) speaker diarization system. The VB-HMM speaker diarization system avoids making premature hard decision and takes advantages of soft speaker information in an iterative way. Thus, it outperforms most of mainstream speaker diarization systems. Unfortunately, this system is sensitive...
Opinions are key determinants to many of the activities related to software development. The perceptions of developers about an API, and the choices they make about whether and how they should use it, may, to a considerable degree, be conditioned upon how other developers see and evaluate the API. Given the plethora of APIs available for a given development task and the advent of developer forums...
Development of document processing systems is considered. The direction of transition to the object-associated electronic document management systems is shown. The assessment of correlation of control of processes of relocation of documents and change of objects in the distributed large-scale systems is carried out.
The use of static analysis is clearly recommended in automotive safety standard ISO26262 to reduce software runtime errors. A comparative study of top performance tools is provided by analyzing production code of AUTOSAR application software components for an Instrument Panel Cluster. A quantitative analysis based on an alert classification model and performance metrics has been carried out. The goal...
The importance of frequent backups is uncontroversial. Their creation is simpler than ever today thanks to widespread availability of cheap cloud storage. Common backup solutions, however, tend to be either insecure, inflexible or inefficient in typical backup scenarios.,,,,In this paper, we present triviback, a lightweight and almost trivial, yet powerful solution for outsourcing backups to untrusted...
Automatic License Plate Recognition (ALPR) is an important task with many applications in Intelligent Transportation and Surveillance systems. As in other computer vision tasks, Deep Learning (DL) methods have been recently applied in the context of ALPR, focusing on country-specific plates, such as American or European, Chinese, Indian and Korean. However, either they are not a complete DL-ALPR pipeline,...
Face recognition is considered as one of the relatively new and interesting concepts in the area of biometrics and comprises a huge number of applications. This study involves implementation of a robust recognition system by employing global and random local facial features of an individual. The proposed scheme considers the extraction of global facial features and some randomly selected local facial...
Breast biopsies based on the results of mammography and ultrasound have been diagnosed as benign at a rate of approximately 40 to 60 percent. Negative biopsy results have negative impacts on many aspects such as unnecessary operations, fear, pain, and cost. Therefore, there is a need for a more reliable technique to reduce the number of unnecessary biopsies in the diagnosis of breast cancer. So, computer-aided...
To solve the problem of performance appraisal of SME (Small and medium-sized enterprises) s' designers, this paper proposes a design method of appraisal system combining with product data management (PDM) workflow management. Designed a performance appraisal system model based on process management; taking into account the characteristics of supporting businesses, introduced a workflow template customization...
Long transactions, high concurrency, and frequent activity situations occur in many areas. The intermediate process of long transactions in the process of execution is more, in the process, therefore, can not avoid frequent access to the data, the system overhead of the data access process is relatively large, which reduces the efficiency of the system and increase the pressure of the server. The...
Positioning applications become more popular with the advancement of location aware services. Global Positioning System is a successful solution for outdoors whereas it is not suitable for indoor environments due to the lack of line of sight for radio frequency signals. Therefore, various systems have been developed to solve the indoor positioning problem. Enhancing the performance of these systems...
With he rapid development of the mobile Internet industry, information security based on trusted computing is also becoming increasingly serious. Considering that most of the existing research is based on the static security measure, and based on the server and PC side, a security operation environment measurement framework based on mobile terminal is proposed in this paper to alleviate the information...
For safe and reliable operation of lithium-ion batteries on electric vehicles (EVs), the online monitoring and states estimation of the batteries is necessary. To make it convenient for every vehicle owner to monitor the battery status of their vehicles anytime and anywhere, we designed a real-time Android-based monitoring system for lithium-ion batteries on EVs, which achieves an integration monitoring...
In order to improve the quality of teaching of Japanese intensive reading courses, improve the quality of higher education, improve the quality of personnel training, and improve the level of scientific research, strengthen the social service ability, optimize the Japanese intensive reading courses in discipline. Put forward the curriculum design of Web network based on the teaching of Japanese intensive...
This paper proposes an algorithm for QRS-complex onset detection in single channel ECG signals based on the first differential of the ECG signal and an adaptive baseline estimation. The proposed algorithm was developed and tested using the Physionet QT Database. A 100% detection rate on the onset of the QRS complex, with a mean error±(standard deviation) of −0.48±(11.26) ms was achieved against the...
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