International Journal of Computer and Information Technology
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Risk-Based Design of Socio-Cyber-Physical Systems
Get PDFThe aim of risk management of socio-cyber-physical systems at designing is the integral safety, which ensures their coexistence with their vicinity throughout their life cycles. On the basis of present knowledge and experience, part of risks that threaten socio-cyber-physical systems shall be mitigated by preentive measures during their designing and manufacturing. Due to dynamic changes of the world, the conditions of socio-cyber-physical systems at operation change. If changes exceed the socio-cyber-physical systems´ safety limits which were inserted into their designs, the accidents or socio-cyber-physical sysems´ failures occur. The presented risk management plan is tool which ensures the prevention of such unaccepted situations and the safety.
A Systematic Literature Review of Hausa Natural Language Processing
Get PDFThe processing of natural languages is an area of computer science that has gained growing attention recently. NLP helps computers recognize, in other words, the ways in which people use their language. NLP research, however, has been performed predominantly on languages with abundant quantities of annotated data, such as English, French, German and Arabic. While the Hausa Language is Africa\u27s second most commonly used language, only a few studies have so far focused on Hausa Natural Language Processing (HNLP). In this research paper, using a keyword index and article title search, we present a systematic analysis of the current literature applicable to HNLP in the Google Scholar database from 2015 to June 2020. A very few research papers on HNLP research, especially in areas such as part-of-speech tagging (POS), Name Entity Recognition (NER), Words Embedding, Speech Recognition and Machine Translation, have just recently been released. This is due to the fact that for training intelligent models, NLP depends on a huge amount of human-annotated data. HNLP is now attracting researchers\u27 attention after extensive research on NLP in English and other languages has been performed. The key objectives of this paper are to promote research, to define likely areas for future studies in the HNLP, and to assist in the creation of further examinations by researchers for relevant studies
The Impact of Coporate Website on Dissemination of Research Information Among Stakeholders in Nigeria
Get PDFThis study accesses the influence of an official website as one that has been licensed by using an authority to signify itself or its houses online. Individuals, companies, governments, and different organizations can be such an authority. An internet portal is a web-based platform that gives employees, clients and suppliers with a single get right of entry to factor to information.8 A web portal can be used to supply the consumer with customized data such as employee training, protection manuals or a customer profile. A web portal can additionally be used to beautify the collaboration of information and improve the way employees, customers and suppliers interact with your commercial enterprise [7]. There are couple of reasons why an MSMEs will seem toward net portal development. This study was once made in two classes of lookup institutes: Health institutes and economic/social institutes. Comparison figures point out that there is no sizable difference in phrases of presence of a respectable website of Health Institutes and Economic/social institutes. Health Institutes have extra capability to diffuse their improvements to public than Economic/social institutes, using their website as a verbal exchange device of lookup findings dissemination. The comparisons of use of professional website, goal audiences were carried out as well as reliability check in percentages to allow conclusive results
A Comparative Study of Gameplay of Different Sets of Players in an Engineering Mapping Game
Get PDFEducators in the STEM (science, technology, engineering, and mathematics) field are constantly employing different tools to make the process of education streamlined and fun. The digital gaming platform also called e-gaming platform has evolved as one of the key tools to make STEM education more accessible to students. UNTANGLED III is such an e-gaming platform that is based on STEM concepts and aims to bring in players from all educational backgrounds under a common platform. The data obtained from the game gave us insights on how males and females play the game. It has answered whether there are any significant differences in the gameplay strategies between males and females. The data pertaining to the types of puzzles that players, from both genders, chose and played, was also obtained. Males and females had no stark differences in the strategies that they used in solving the puzzles. They used similar kinds of moves and in fact solved similar kinds of puzzles of similar difficulty levels. During their gameplay sessions, both the males and the females visualized similar patterns in the puzzles as evident in their final solution. The performance of players from both the genders, based on the gameplay data was at par. Suggestions obtained from the current players and outreach events hold the key to increasing the overall participation in the game
A Comparative Study on South African Users’ Perception to Use, Choose, and Purchase a Smartphone Device through the Lens of the Social Shaping of Technology (SST) Theory
Get PDFMobile technologies are increasingly making important contributions to the lives of many users. Various factors are said to influence the decision of users to remain connected and be in constant interaction with other users from the same or different social networks. This paper used the Social Shaping of Technology (SST) theory to assess the influence of users’ social networks on their decision to use, choose and purchase a smartphone device. The study used a quantitative research method to analyse data. Data were collected from a sample of young adults aged between 15 and 35 years residing in Durban, South Africa. The study revealed that social networking sites influence users’ decision to use, choose, and purchase a smartphone device. The findings also revealed factors that are perceived as influential in the perceptions of users about their social networks and their interactions with users from the same social networks
The Accuracy Improvement of Text Mining Classification on Hospital Review through The Alteration in The Preprocessing Stage
Get PDFSentiment analysis is a part of text mining used to dig up information from a sentence or document. This study focuses on text classification for the purpose of a sentiment analysis on hospital review by customers through criticism and suggestion on Google Maps Review. The data of texts collected still contain a lot of nonstandard words. These nonstandard words cause problem in the preprocessing stage. Thus, the selection and combination of techniques in the preprocessing stage emerge as something crucial for the accuracy improvement in the computation of machine learning. However, not all of the techniques in the preprocessing stage can contribute to improve the accuracy on classification machine. The objective of this study is to improve the accuracy of classification model on hospital review by customers for a sentiment analysis modeling. Through the implementation of the preprocessing technique combination, it can produce a highly accurate classification model. This study experimented with several preprocessing techniques: (1) tokenization, (2) case folding, (3) stop words removal, (4) stemming, and (5) removing punctuation and number. The experiment was done by adding the preprocessing methods: (1) spelling correction and (2) Slang. The result shows that spelling correction and Slang method can assist for improving the accuracy value. Furthermore, the selection of suitable preprocessing technique combination can fasten the training process to produce the more ideal text classification model
Pharmaceutical Data Search by Decision Trees
Get PDFThe number of information concerning the drugs that any professional of health must control in practice and the transformations which they undergo, make the regulation or the administration of drugs difficult for a pregnant woman. Techniques of excavation of data were developed to lead a model of classification of data according to precise criteria. One of the most used of is the technique of the decision trees, a method making it possible to predict the membership of an individual to a class according to his characteristics; it is based primarily on the relevant attributes of the data base of the field to which it is applied. In our case classification of managed drugs or not with the pregnant woman will be done according to quarters of the pregnancy. The results of this technique will help the professionals of health to take a decision, to make a good regulation, to decrease the accidents related to the catch of inadequate drugs at the period of pregnancy with less risks for the child
Open Government Data (OGD) Publication as Linked Open Data (LOD): A Survey
Get PDFOpen Government Data (OGD) is a movement that has spread worldwide, enabling the publication of thousands of datasets on the Web, aiming to concretize transparency and citizen participatory governance. This initiative can create value by linking data describing the same phenomenon from different perspectives using the traditional Web and semantic web technologies. A framework of these technologies is linked data movement that guides the publication of data and their interconnection in a machine-readable means enabling automatic interpretation and exploitation. Nevertheless, Open Government Data publication as Linked Open Data (LOD) is not a trivial task due to several obstacles, such as data heterogeneity issues. Many works dealing with this transformation process have been published that need to be investigated thoroughly to deduce the general trends and the issues related to this field. The current work proposes a classification of existing methods dealing with OGD-LOD transformation and a synthesis study to highlight their main trends and challenges
Technique of Semantic Unambiguity for a Concept Selection of Terms in Focused Contexts with Reinforcement Learning Integration
Get PDFNowadays, there have been many developments of learning processes for computers to understand the meaning of words and their semantic similarities in order for the computers to better communicate, interact and exchange information with humans. Semantic learning development is a major issue because computers cannot comprehend the suitable meaning of words in the concerning concept. As a result, this research is proposing and exploring the efficiency of the technique of semantic unambiguity in order to clarify the Term Concepts in the focused contexts. From the case study with 22 contexts, 62 term, and 475 synsets, it was shown that Reinforcement Learning could accurately select the suitable term concepts for the focused contexts, with Precision = 0.7756, Recall = 0.7756 and F-Measure = 0.7735. Therefore, it can be concluded that the Technique of Semantic Unambiguity for a Concept Selection of Terms in Focused Contexts has high accuracy when applying the Reinforcement Learning
Hybrid Cluster based Collaborative Filtering using Firefly and Agglomerative Hierarchical Clustering
Get PDFRecommendation Systems finds the user preferences based on the purchase history of an individual using data mining and machine learning techniques. To reduce the time taken for computation Recommendation systems generally use a pre-processing technique which in turn helps to increase high low performance and over comes over-fitting of data. In this paper, we propose a hybrid collaborative filtering algorithm using firefly and agglomerative hierarchical clustering technique with priority queue and Principle Component Analysis (PCA). We applied our hybrid algorithm on movielens dataset and used Pearson Correlation to obtain Top N recommendations. Experimental results show that the our algorithm delivers accurate and reliable recommendations showing high performance when compared with existing algorithms