Asian Journal of Research in Computer Science
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792 research outputs found
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Design and Implementation of a Simplified CodeIgniter Framework for Commercial Vehicles Ticket Reservation System
No full textWith traditional strategies to design websites comes with many obstacles, many limitations, time-consuming and other relative errors. Subject to this reason, new technology like MVC pattern frameworks was discovered through some organizations to address such problems. The task of manual schedule and verification of travellers\u27 booked tickets is laborious, time-consuming and the accuracy of the manual booking system is in question. Therefore, it was a mind set of computerizing these activities. These studies present the design and implementation of a website using CodeIgniter Framework for Commercial Vehicle Ticket Reservation System. The load test functional behavior and measurement of performance was determined. The final result proved that the development was standardized and the non-commercial enterprise logic relationship of the e-transport system was automatically processed. These include Commuter companies, travellers, Human resources management activities and booking activities, thus helping transporters to efficiently handle their road transport business and other related activities
Variates and Manipulative Skills on Computer Operations of High School Students of the University of Eastern Philippines System
No full textThis study aimed at examining the varieties and manipulative skills in computer operations of fourth year high school students of the University of Eastern Philippines System. A self-structured closed questionnaire with 5-point Likert scale was designed for data collection from a sample of 80 high school students and 6 teachers. This study employed the descriptive –correlational survey type of research design, Statistical tools such as frequency counts, percentages, mean, ranking and multiple regression were used to interpret and analyze the data.
Findings revealed that the students were more skilled in terms with their manipulative skills in computer operations, more favorable attitudes while working in computer operation, and a very good academic performance showed in English, Mathematics, and Computer subjects
Automatic Generation of Scripts for Database Creation from Scenario Descriptions
No full textAims: Database creation is the most critical component of the design and implementation of any software application. Generally, the process of creating the database from the requirement specification of a software application is believed to be extremely hard. This study presents a method to automatically generate database scripts from a given scenario description of the requirement specification.
Study Design: The method is developed based on a set of natural language processing (NLP) techniques and a few algorithms. Standard database scenario descriptions presented in popular textbooks on Database Design are used for the validation of the method.
Place and Duration of Study: Department of Statistics and Computer Science, Faculty of Science, University of Peradeniya, Sri Lanka, Between December 2019 to December 2020.
Methodology: The description of the problem scenario is processed using NLP operations such as tokenization, complex word handling, basic group handling, complex phrase handling, structure merging, and template construction to extract the necessary information required for the entity relational model. New algorithms are proposed to automatically convert the entity relational model to the logical schema and finally to the database script. The system can generate scripts for relational databases (RDB), object relational databases (ORDB) and Not Only SQL (NoSQL) databases. The proposed method is integrated into a web application where the users can type the scenario in natural or free text. The user can select the type of database (i.e., one of RDB, ORDB, NoSQL) considered in their system and accordingly the application generates the SQL scripts.
Results: The proposed method was evaluated using 10 scenario descriptions connected to 10 different domains such as company, university, airport, etc. for all three types of databases. The method performed with impressive accuracies of 82.5%, 84.0% and 83.5% for RDB, ORDB and NoSQL scripts, respectively.
Conclusion: This study is mainly focused on the automatic generation of SQL scripts from scenario descriptions of the requirement specification of a software system. Overall, the developed method helps to speed up the database development process. Further, the developed web application provides a learning environment for people who are novices in database technology. 
A Comprehensive Analysis of M-ary PSK and M-ary QAM Schemes
No full textIn the last few decades, data communication has recorded massive improvements. These improvements were brought about by advancement in digital circuitry, its availability and persistent reduction in cost. Before the advancement of digital communication technology, analogue communication was the dominant means of transmitting data. As the internet expands across the globe, the need to transfer data over long distances increases. However, the major problem with analogue communication is that the quality of signals is lost with distance. Also, it has minimal security and does not support data integration. Digital communications provided an alternative to analogue communication. Today, digital modulations have become part and parcel of the present and future communication technologies. Despite the advantages of these schemes, the traditional channel impairments, such as noise, can affect their performance. Moreover, data transmission is mostly done over wireless channels, which are very unpredictable and are characterised by multipath fading effects. This paper presents a short research article that presents a study of digital modulation schemes (M-ary QAM and M-ary PSK) using MATLAB/Simulink under Additive White Gaussian Noise (AWGN). The result shows that, among the three modulation schemes compared, QAM has the best BER performance with minimal energy consumption
A State of Art for Survey of Combined Iris and Fingerprint Recognition Systems
No full textBiometrics is developing into a technological science in this lifelong technology for the defense of identification. Biometrics is the technology to recognize individuals based on facial features, fingerprints, iris, retina, speech, handprints, etc. Biometric features are used for human recognition and identification. Much research was done in the last years on the biometric system because of a growing need for identification methods. This paper offers an overview of biometric solutions using fingerprint and iris identification, their uses, and Compare the data set, methods, Fusion Level, and the accuracy of the results
Paralinguistic Speech Processing: An Overview
No full textClients can adequately control PCs and create reports by speaking with the guide of innovation, discourse acknowledgment empowers records to be delivered all the more effectively in light of the fact that the program normally produces words as fast as they expressed, which is typically a lot faster than a human can compose. Discourse acknowledgment is an innovation that consequently finds the words and expressions that best match the contribution of human discourse. The most normal use of discourse acknowledgment is correspondence, where discourse acknowledgment can be utilized to create letters/messages and different reports. Point of discourse handling: - to comprehend discourse as a mechanism of correspondence, to reflect discourse for transmission and propagation; - to inspect discourse for robotized data discovery and extraction-to find some physiological highlights of the speaker. In discourse combination, there are two significant capacities. The first is the interpretation of voice to message. The second is for the content to be converted into human voice
The Prediction Process Based on Deep Recurrent Neural Networks: A Review
No full textPrediction is vital in our daily lives, as it is used in various ways, such as learning, adapting, predicting, and classifying. The prediction of parameters capacity of RNNs is very high; it provides more accurate results than the conventional statistical methods for prediction. The impact of a hierarchy of recurrent neural networks on Predicting process is studied in this paper. A recurrent network takes the hidden state of the previous layer as input and generates as output the hidden state of the current layer. Some of deep Learning algorithms can be utilized in as prediction tools in video analysis, musical information retrieval and time series applications. Recurrent networks may process examples simultaneously, maintaining a state or memory that recreates an arbitrarily long background window. Long Short-Term Memory (LSTM) and Bidirectional RNN (BRNN) are examples of recurrent networks. This paper aims to give a comprehensive assessment of predictions based on RNN. Additionally, each paper presents all relevant facts, such as dataset, method, architecture, and the accuracy of the predictions they deliver
A Comprehensive Survey for Hadoop Distributed File System
No full textIn the last few days, data and the internet have become increasingly growing, occurring in big data. For these problems, there are many software frameworks used to increase the performance of the distributed system. This software is used for available ample data storage. One of the most beneficial software frameworks used to utilize data in distributed systems is Hadoop. This software creates machine clustering and formatting the work between them. Hadoop consists of two major components: Hadoop Distributed File System (HDFS) and Map Reduce (MR). By Hadoop, we can process, count, and distribute each word in a large file and know the number of affecting for each of them. The HDFS is designed to effectively store and transmit colossal data sets to high-bandwidth user applications. The differences between this and other file systems provided are relevant. HDFS is intended for low-cost hardware and is exceptionally tolerant to defects. Thousands of computers in a vast cluster both have directly associated storage functions and user programmers. The resource scales with demand while being cost-effective in all sizes by distributing storage and calculation through numerous servers. Depending on the above characteristics of the HDFS, many researchers worked in this field trying to enhance the performance and efficiency of the addressed file system to be one of the most active cloud systems. This paper offers an adequate study to review the essential investigations as a trend beneficial for researchers wishing to operate in such a system. The basic ideas and features of the investigated experiments were taken into account to have a robust comparison, which simplifies the selection for future researchers in this subject.
According to many authors, this paper will explain what Hadoop is and its architectures, how it works, and its performance analysis in a distributed systems. In addition, assessing each Writing and compare with each other
Research on Chemical Process Optimization Based on Artificial Neural Network Algorithm
No full textArtificial Neural Network (ANN) is established by imitating the human brain\u27s nerve thinking mode. Because of its strong nonlinear mapping ability, fault tolerance and self-learning ability, it is widely used in many fields such as intelligent driving, signal processing, process control and so on. This article introduces the basic principles, development history and three common neural network types of artificial neural networks, BP neural network, RBF neural network and convolutional neural network, focusing on the research progress of the practical application of neural networks in chemical process optimization
Design Standardized Program to Calculate the Related Data from Single Load on Single Feeder
No full textDesign Method: The feeder construction type adopts π－type (nominal π) transmission mode. The total feeder impedance value makes up of feeder impedance and load impedance, and then the feeder impedance value is derived from the hyperbolic function of mathematical formula, and the wire diameter parameter and length by a computer program to calculate. The load impedance composition is divided into two types: resistance parallel reactance or resistance series reactance, and the difference analysis of the feeder current obtained after being connected in series with the line impedance. The impact of voltage changes on the load end, load impedance and adjustment capacitors are deeply analyzed and discussed, and their differences are shown graphically. At the same time, the relationship between the load power factor and the resistance and inductance ratio of the adjusting capacitor and the load impedance are analyzed.
Design Purpose: Based on the frequent changes in the test data of related equipment parameters during design, the above calculation steps are been complied for a computer programming by MATLAB application software.
Design Effectiveness: The program has been tested for excellent performance. So that it is a powerful tool for designers to improve the accuracy of repetitive computer programming calculations