Asian Journal of Research in Computer Science
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An Improved Model for Node Discovery using Election Algorithm in Wireless Sensor Network
No full textMobile wireless devices are constrained based on resources. Computation offloading provides a unique method for taking advantage of multiple mobile wireless devices to save energy and increase performance of these devices. In order to build a robust serious solution for a mobile wireless sensor network. There must be a scheme to ensure that the resources of the mobile wireless sensor network is managed adequately. However, computational offloading scheme was proposed by researchers. But this solution was dependent on a super node which manages the offloading process and is required to be online on the network at all time which consume time. The objectives of this study is to create a “broadcast and receive” table that can access a given node at a particular time interval without the need of having a super node online all the time. This method ensures that as nodes enter the network, they announce their resources which is then saved in the table. This information is updated at a given time interval by a monitoring service. When a node is to be removed from the network, the details of the resources of the node is removed from the table. The focus of the study is to evaluate the resource aware of node discovery in wireless sensor network
Offline Handwritten Character Recognition Including Compound Character from Scanned Document
No full textRecognizing the handwritten characters and converting them into machine-editable text is very tedious due to the diversity of writing styles and character patterns. Extracting data from images and identifying the characters becomes more complicated when a language consists of compound structures and characters, such as Bengali. There has been a lack of programs for recognizing Bengali scripted basic and com-plex numeric signs and letters with high accuracy. This paper develops a novel approach to extracting and identifying Bengali handwritten primary characters, digits, and primarily used compound characters. In this proposed model, an image containing Bengali handwritten text takes as input and processed. Then processed images are segmented into lines and characters. The features are extracted from segmented characters and recognized using a Convolutional Neural Network (CNN). The CNN obtains 98.23% accuracy in the training dataset and 96.02% in the validation dataset. Apart from that, the proposed model has gained 89.6% precision and 92.6% recall scores on scanned image data
Selected Organisational Capabilities Affecting Implementation of ERP Systems
No full textThis research sought to find out the influence of top management support on ERP Implementation; find out the impact of business processes reengineering on ERP Implementation; identify the impact of ICT Infrastructure on ERP Implementation; and establish the influence of tacit knowledge users (user involvement) on ERP Implementation. The study used descriptive research design, where it obtained a sample size of 70 respondents and selected the respondents using stratified proportionate sampling. The study data collected from primary sources using structured questionnaire directly administered to the respondents based on the drop and pick method. Data was analysed using quantitative analysis to produce descriptive statistics followed by inferential analysis for estimating a model and it results represented using figures and tables and explained using narrative and its data analysis assisted by SPSS software. The study concludes that; there is a positive and significant relationship between top management support and ERP Implementation; business processes reengineering positively significantly influences ERP Implementation, Information communication technology infrastructure has a significant moderate influence on its ERP implementation, and tacit knowledge users have significant moderate influence on ERP Implementation. The study recommends that UN-Habitat should; clearly spell out the role of top management involvement, review its business process policy to accommodate various system development activities improves existing ICT infrastructure to match the proposed requirement of the vendor to implement ERP system; and acquire the appropriate tacit knowledge users for ERP implementation possessing
A Study of Online Database Servers: The Case of SQL - Injection, How Evil that could be?
No full textSQL injection attack is one of the most serious security vulnerabilities in many Databases Managements systems. Most of these vulnerabilities are caused by lack of input validation and SQL parameters used particularity at this time of technology revolution. The results of a SQL injection attack (SQLIA) are unpleasant because the attacker could wipe the entire contents of the victim\u27s database or shut it down. As such, SQLIA can be used as important weapons in cyber warfare. As an attempt of breaching of number of application data bases systems two SQL injection techniques were used to successful locating vulnerable points during this research which are Blind Text Injection Differential and Error based Exploitation. The motivations behind were to find out where the databases systems are most likely to face an attack and proactively shore up those weaknesses before exploitation by hackers. The success of both techniques is a result of poor web server (online database server) design especially in the selection of error messages (or answers) they display to website users if something goes wrong. The approach through examination of error messages (error codes) did enable to precisely know the backend Database Management System (DBMS) type and version and what exactly are parameters (variables) which can allow “illegally” injecting codes (a SQL query). Additionally, the paper presents SQLIA cases and their impact in Tanzania cyber space as well as it suggests the possible mitigation ways while reflecting the collected data with what currently existing in cyberworld as far as SQL injection attack is concern to present the reality
Multiple Criteria Analysis for Site Suitability of Rice Yields in Prachuap Khiri Khan, Thailand
No full textSoutheast Asian countries takes rice as one of their necessary food intake to survive for a day. With a booming population of the third world countries, the need for higher production of rice was sought as one of the priorities of the countries like Thailand to identify areas which are deemed suitable for rice production. Thailand is one of the prominent exporter of rice in the whole world and it is important that Prachuap Khiri khan can go with trends of identifying areas for good rice production that would therefore contribute for the economic improvement of its very own districts up to its own country Thailand. This study aims to identify the suitable areas for good rice production in the province of Prachuap Khirikhan. Factors such as slope, aspect, elevation, land use, road proximity, stream network and rainfall were considered to identify the suitable site for good rice yields. The spatial analysis of ArcGIS software was used in the generation of the different maps. Results shows that the southern portion of the province has a very high suitability of rice production, while the Northwestern portion of the province shows the very low suitability of rice production
Selection of the Best Educational Application Based on Android with SMART Method (Simple Multi Attribute Rating Technique)
No full textAims: Android system is widely chosen by smartphone users in Indonesia. One of the reasons for its popularity is the large number of free applications supported by Google Play Store. The large number of applications on the Google Play Store provide many choices for the needs of the community. But sometimes, this actually makes people have difficulty in choosing an application they need. This research will create a decision support system (DSS) in choosing the best application, so that it can help the community in choosing the application they need.
Methodology: The factors used in choosing include rating, file size, compatibility and others. The method used to determine the best application in this research is the SMART (Simple Multi Attribute Rating Technique) method. This method can be used to support decisions in choosing between several alternatives. The implementation is made web-based with the PHP language to make it easier for the public to access this system.
Results: The result of this research is the ranking of educational applications based on the criteria of rating, reviews, size and installs that can be taken into consideration by users in choosing applications.
Conclusion: SMART method can be used easily to generate application rankings. The results of data processing may change if the priority or weight of a criterion changes
Predicting Students\u27 Performance in Final Examination using Deep Neural Network
No full textThe academic result is the most important thing in a student\u27s career. This result depends on their academic performance and many other factors. Educational data mining can help both students and institutions develop their academic performance. For analysis of their performance, we can use new techniques Deep Learning, Convolution Neural Networks, Data Clustering, Optimization Algorithms, etc. In machine learning. Using Deep Learning, we will predict the student’s performance yearly in the form of CGPA and compare that with the real CGPA. A real dataset can boost the prediction performance. We used a real dataset from the Institute of Science, Trade & Technology (ISTT). We used a total of 18 data factors to predict the performance and the data factors are: Class Performance, Test Marks, Class Attendance, Due Time Assignment Submission, Lab Performance, Previous Semester Result, Family Education, Freelancer, Relationship with Faculty, Study Hours, Living Area, Social Media Attraction, Extra-Curricular Activity, Drug Addiction, Financial Support from Family, Political Involvement, Affair & Year Final Result
Residential Water Tanks with IoT: A Solution for Household Water Consumption Monitoring
No full textWasting water has been a big problem in human society throughout the world. It can happen either in developed or developing countries. They tend to waste the water without knowing it. Moreover, people\u27s awareness of the importance of using water wisely is still low. While they think the source of water is limitless, in fact, it is not. In contrast, the availability of freshwater in the world is limited. Furthermore, if the water is overused without reservation, it can trigger the phenomenon of water scarcity. However, the problem of wasting water can be reduced by using the water wisely and efficiently. With the growth of Internet of Things technology, it can help people use water efficiently by monitoring their water consumption. The Internet of Things (IoT) is a network of real-world items that may communicate with other electronic devices and systems via the internet by using sensors, software, and other technologies. IoT devices can be used for the purpose of household or the industrial. This paper focuses on designing and implementing a residential water tank system embedded with the Internet of Things technology for monitoring the water consumption in a household. The system will measure the water consumption from the residential water tank and send the data to a cloud server. Users will then be able to monitor it using a mobile device. With the data, users could change their habits of using water and start to use it wisely. Thus, the water shortage can be prevented
Catalyst Optimization Design Based on Artificial Neural Network
No full textArtificial neural network (ANN) has the characteristics of self-adaptation, self-learning, parallel processing and strong nonlinear mapping ability. Compared with traditional experimental analysis modeling, ANN has obvious advantages in dealing with multivariable nonlinear complex relationships in the process of industrial catalyst design. In the face of the complex structure of catalyst, the unclear reaction mechanism and conditions, the use of neural network for small-scale experimental data analysis can save the time and energy invested in large-scale experimental research and obtain more perfect results in catalyst formulation optimization and condition selection. This paper summarizes the development of artificial neural network. The application principle, construction method and research progress of BP artificial neural network model in catalyst optimization design are summarized and analyzed. The development and innovation of artificial neural network in the future, as well as its continuous application and accumulation, will provide a powerful tool for the research of catalyst design and optimization in the future
Face Recognition Technology Based on Neural Network: A Review
No full textAn artificial neural network (ANN) is an information processing system established by simulating the structure and logical thinking of the human brain. It uses the interconnection between a large number of neurons to form a network system that can perform complex calculations, and is widely used. For various complex problems, by choosing different model structures and transfer functions, various neural networks can be formed and different expressions of the relationship between output and input can be obtained. Face recognition is one of the important research directions of ANN. It mainly refers to the automatic inference of identity, expression, age, gender and other attribute information through the analysis of facial images, videos or pictures and video collections of people. Widely used in mobile payment, safe city, criminal investigation and other fields. The origin, types and research progress of ANN are introduced, and the face recognition technology based on neural network are investigated