University of Sindh Journal of Information and Communication Technology

Innovative Application for Monitoring Child Behavior Using Play Therapy

2023-05-04T10:40:37+00:00

Devices such as cell phones, tablets, laptops, etc., have become children's material support when parents neglect them. Without emotional support, and little parental guidance children will eventually suffer from insecurity, depression, and anxiety. Thus, to bridge this gap called emotional detachment between parents and their children, this research will introduce an android-based application called Child Psychology Monitoring and Learning System (CPMLS), which is designed to assist parents in monitoring their child's psychological state. It is designed for children between the ages of 3-9 years and is grouped into three categories, i.e., 3-5, 6-7, and 8-9, respectively. Within this application, various digital games will test the child's emotional and social intelligence using play therapy. As a result, parents can keep track of what their child is experiencing on a psychological level. It has been observed that the react world activity give the prediction of about 30 percent shyness, 25 percent arrogance, 40 percentage isolation, and five percentage child abuse and approximately 30 percentage focused, 45 percentage Impatient, and 25 percentage dedicated results were obtained from the beat-the-clock activity.

Sensitivity Analysis of Reinforcement Learning to Schedule the battery in Grid-tied microgrid

2023-05-04T11:10:28+00:00

This research paper explores the application of offline reinforcement learning (RL) in controlling battery operation in a grid-connected microgrid. The study investigates the impact of different parameters on the performance of the RL algorithm, such as the number of discretization levels, gamma, and alpha values. The results show that the convergence time and optimality of the RL algorithm are affected by the choice of these parameters. The research concludes that carefully selecting the discretization levels of state-action spaces and RL hyperparameters is crucial for optimal RL algorithm performance. The benchmark offline sensitivity analysis can be compared in the future with other RL approaches, such as function approximation or DRL methods.

Towards the Optimal Use of Machine Learning Algorithms in Text Mining: A Quick Review

2023-05-04T10:43:40+00:00

This paper aims to provide a quick review to jump-start the research in the field of text mining where Machine Learning (ML) algorithms have been used and several accomplishments have been reported by the research community. There are different categories of text mining, and the implementation of ML algorithms and techniques have been supported in the literature to give promising results. However, in this area of study, most of the research activities in terms of time and efforts are consumed during the initial stages where implementations and experiments are carried out to evaluate various combinations. The accomplishments in this field can be further advanced by presenting early investigations concisely and analytically. Thus, the benefits of this paper are threefold: first, it will provide a platform for the new researchers to start quickly with a shorter literature review and knowing more precisely about the combinations of text mining and ML; secondly, clear analysis has been presented about the text mining categories where the performance of ML algorithms have been reported successful; and lastly, the problems have been identified for which the algorithms were used in various studies. This will enable the new researchers to directly target the problem instead of implementing the existing techniques. With the help of well-structured questions, the results are more analytical and present multidimensional views to this research issue. Main findings include that ML has been widely used in document classification and Support Vector Machine (SVM) is the most successful algorithm reported.

PARENTAL ENGAGEMENT IN ONLINE LEARNING FOR UNIVERSITY STUDENTS DURING COVID-19

2023-05-04T10:48:11+00:00

In this essay, we have emphasized the educational practices of the students during COVID-19 and evaluated the parents' role in enhancing their children's learning attitude. Four hundred individuals from various educational institutions provided information, which was then processed for SPSS data analysis. We initially evaluated the questionnaire's consistency and discovered that it was better. When we later calculated some summary statistics, we saw that most queries displayed normality. According to chi-square analysis, it was found that parents with higher educations helped their kids with their online learning—high-speed internet service. Parents with education helped their kids manage their time so they could study online with a positive attitude. They supported the purchase of the online learning equipment financially and encouraged their children to change their behavior towards it.

Integration of Artificial Intelligence and Human Computer Interaction in Healthcare

2023-05-04T10:58:40+00:00

Artificial intelligence (AI) and human-computer interaction (HCI) are two important fields that are increasingly being used in the healthcare industry. AI technologies such as machine learning and natural language processing can be used to analyze large amounts of data, identify patterns and trends, and make predictions. This can be helpful in a variety of healthcare applications, such as predicting the likelihood of a patient developing a particular disease or condition, helping doctors diagnose patients more accurately, and identifying potential side effects of drugs. HCI, on the other hand, focuses on the design of user-friendly and effective interfaces between humans and computers. In healthcare, HCI plays a crucial role in the development of electronic health record systems, telemedicine platforms, and other digital health tools that allow healthcare professionals to more easily access and manage patient data. AI alone cannot provide the insights that healthcare providers need without effective HCI to enable interpretation and action, while HCI alone cannot provide the level of accuracy and efficiency that AI can deliver. By using AI and HCI together, healthcare providers can leverage the strengths of both technologies, allowing for more efficient and accurate analysis of data, improved diagnosis and treatment, and ultimately, better patient outcomes. Overall, the future of AI and HCI in healthcare looks bright, and these technologies have the potential to greatly improve the way that healthcare is delivered and to make it more accessible and affordable for people around the world.

Named Entity Recognition for Urdu Language: The UNER System, A Hybrid Approach

2023-05-04T11:07:05+00:00

NER is a natural language processing technique that primarily classifies parts of parsed text into well-known named entities. In the domain of natural language processing, the recognition of name entities is used to classify nouns that appear in bulk text data and place these nouns into predefined groups, such as names of people, places, times, dates, organizations, etc. There is a lot of fragmented material and data on the Cyberspace, therefore scholars are working on several languages (i.e: Sindhi, English, etc.), by working on various approaches and techniques depending on their locations, to improve accessibility of filtered information for online users. The NER enhance the quality of NLP in applications including automated summarization, semantic web search, information extraction and retrieval machine translation and question answering, chatbots and others. This study designs an efficient framework to extract noun entities in Urdu using a hybrid approach. The UNER system not only extracts entities by searching through a list of names, but also extracts named entities by recognizing phrases in a given text. The UNER system is designed to recognize Urdu noun entities in pre-defined categories such as places, personal names, titled personal names, organizations, object names, trade names, abbreviations, dates and times, measurements, and text names in Urdu.