Current Issue : January-March Volume : 2022 Issue Number : 1 Articles : 5 Articles
The manuscript developed an optimal frequency band transmission system structure of QPSK. The software programming experiment of this complete QPSK optimal band transmission system is designed and realized based on Matlab. The experimental parameters used in the design are consistent with the requirements of the actual system parameters. The key code of the software design is given in each module of the system. The whole system is simulated. The simulation results show that the QPSK optimal band transmission system can achieve the best reception performance and realize its function....
This paper presents the design and implementation of a web-based application for an advertising system. There are many places in our country where billboard advertising has not become popular yet. Also, there are many companies that don’t prefer to promote their services or products through billboards for not having a proper advertising system. There is also no such platform where vehicles can be used for advertisement purposes. While researching on these issues, there was found no connecting bridge between the vendors and the customers, which is one of the main reasons for not utilizing the billboards properly and kept them empty. To solve the mentioned problem, we came up with an idea to develop a website to allow the vendors to showcase their empty billboards and vehicles which can be used for advertising purposes and it allows the customer to choose any of the available billboards/ vehicles for advertising without hassle. The main purpose of this research work is to create a web-based common platform for companies who want to rent advertising space on billboards and on the walls of vehicles, and also for the owners of the billboards and vehicles. The main contribution of this paper is to develop an online web application for companies who want to rent empty space on billboards and the walls of vehicles. In order to maintain the advertising system, the admin of the website has made appropriate rules and regulations which will fulfill the demands of the vendors and customers. Here, the system has discussed all the details, such as the connection between the vendors and customers, the efficiency of the website, transaction method, etc. The proposed web application developed in this paper has been tested and it is found to be user-friendly and very efficient....
In many cryptographic applications, random numbers and pseudorandom numbers are required. Many cryptographic protocols require using random or pseudorandom numbers at various points, e.g., for auxiliary data in digital signatures or challenges in authentication protocols. In NIST SP800-22, the focus is on the need for randomness for encryption purposes and describes how to apply a set of statistical randomness tests. -ese tests can be used to evaluate the data generated by cryptographic algorithms. -is paper will study the fast software implementation of the serial test and the approximate entropy test and propose two types of fast implementations of these tests. -e first method is to follow the basic steps of these tests and replace bit operations with byte operations. -rough this method, compared with the implementation of Fast NIST STS, the efficiency of the serial test and approximate entropy test is increased by 2.164 and 2.100 times, respectively. -e second method is based on the first method, combining the statistical characteristics of subsequences of different lengths and further combining the two detections with different detection parameters. In this way, compared to the individual implementation of these tests, the efficiency has been significantly improved. Compared with the implementation of Fast NIST STS, the efficiency of this paper is increased by 4.078 times....
The demand for quality software expands as the business environment grows internationally. Common to all software development methodologies is a design phase that focuses on the physical software model. Design criteria used to evaluate these models are important for refinement and improvement. The purpose of this research is to apply transformations of McCabe’s cyclomatic complexity as a means for improving software design and assessing risks within a design. In this research, two metrics, the management (CMGT) and maintenance (CMN) coefficients are introduced, and they are used to address the architectural, size, and quality dimensions of a software design....
Edge Computing enables to perform measurement and cognitive decisions outside a central server by performing data storage, manipulation, and processing on the Internet of Things (IoT) node. Also, Artificial Intelligence (AI) and Machine Learning applications have become a rudimentary procedure in virtually every industrial or preliminary system. Consequently, the Raspberry Pi is adopted, which is a low-cost computing platform that is profitably applied in the field of IoT. As for the software part, among the plethora of Machine Learning (ML) paradigms reported in the literature, we identified Rulex, as a good ML platform, suitable to be implemented on the Raspberry Pi. In this paper, we present the porting of the Rulex ML platform on the board to perform ML forecasts in an IoT setup. Specifically, we explain the porting Rulex’s libraries on Windows 32 Bits, Ubuntu 64 Bits, and Raspbian 32 Bits. Therefore, with the aim of carrying out an in-depth verification of the application possibilities, we propose to perform forecasts on five unrelated datasets from five different applications, having varying sizes in terms of the number of records, skewness, and dimensionality. These include a small Urban Classification dataset, three larger datasets concerning Human Activity detection, a Biomedical dataset related to mental state, and a Vehicle Activity Recognition dataset. The overall accuracies for the forecasts performed are: 84.13%, 99.29% (for SVM), 95.47% (for SVM), and 95.27% (For KNN) respectively. Finally, an imagebased gender classification dataset is employed to perform image classification on the Edge. Moreover, a novel image pre-processing Algorithm was developed that converts images into Timeseries by relying on statistical contour-based detection techniques. Even though the dataset contains inconsistent and random images, in terms of subjects and settings, Rulex achieves an overall accuracy of 96.47% while competing with the literature which is dominated by forward-facing and mugshot images. Additionally, power consumption for the Raspberry Pi in a Client/Server setup was compared with an HP laptop, where the board takes more time, but consumes less energy for the same ML task...
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