Innovative Computing Review

Review of Information Technology (IT) in Business Matrix

Aiman Kamran — 2024-06-10

Significant research has been conducted to elaborate on Information Technology Governance (ITG). However, less has been covered to assess the empirical role of ITG concerning the business matrix, mainly consisting of two integral parts, that is, its description and effective measurements. In order to prescribe ITG and its effectiveness for organizations, the current study conducted systematic literature-based research to identify strategic methods and structures. These methods and structures may be helpful in understanding the combined comprehensive role of ITG for corporate effectiveness. To classify the role of IGT governance and international business in shaping a firm’s digital capital and asset strategies, this study highlights the necessity of IT-governed decisions for achieving positive returns. This study also demonstrates the connection between ITG and stakeholders' dependence on the digital market.

Speech-to-Text Hybrid English to Yoruba SMS Translator

Akinbowale Nathaniel Babatunde — 2024-06-19

The necessity for quick translation from English to regional languages, such as Yoruba language arises from the fact that it is imperative for the widespread dissemination of knowledge and information. A speech-to-text enabled translation on Android devices and text-to-speech synthesizer (TTS) capable to deliver real-time translation of Yoruba language is presented. It increases the naturalness of oral communications, eases the communication, and furthers the understanding and use of Yoruba language among people of different backgrounds. This speech-to-text enabled translation system uses NLP on one hand and a TTS interpretation technique on the other. It uses an Android Google translation API synthesizer and a recognizer for English and Yoruba translation. The current study attempted to develop an English to Yoruba SMS translator with built-in text-to-speech and speech-to-text features. The Android Studio Integrated Development Environment was used to create the system (IDE). Whereas, a statistical machine translation algorithm was adopted for the implementation of Google API translation for English speech to text, TTS conversions, and Yoruba translations. About 100 computational rules were formulated for the Yoruba voice translation process. For the translation processes, a questionnaire was also created and circulated to 350 people. Approximately, 96% of those who responded provided input. The responses were subjected to SPSS statistical analysis. The results suggested that the translation system has a 92% accuracy which is comparable to that of a human (expert).

Optimizing Power Flow: A Study of Newton Raphson (NR) Method for Load Flow Analysis (LFA) in Power Systems

Ali Raza — 2024-06-10

This paper considers the application of an iterative method, namely the Newton Raphson (NR) method, for the study of load flow analysis (LFA) in power systems. The NR method is employed due to its computational efficiency and the ability to handle nonlinear equations. The primary objectives of LFA are to determine the specified active power (SAP), specified reactive power (SRP), active power injection (API) from and to bus, reactive power injection (RPI) from and to bus, active power loss (APL), reactive power loss (RPL), and voltage magnitude (|V|) at each node of the distribution network (DN). This technique is assessed through MATLAB simulations carried out on the IEEE-33 and IEEE-69 bus DNs.

IoT Empowerment in Healthcare: Detailed ECG Analysis and Prediction by using 2D Gaussian Filter

Asif Raza — 2024-06-12

Currently, healthcare sector is the most dynamic sector in terms of introducing new technologies and services. An innovative advancement in this sector is the remote or portable monitoring of patients, which is proving to be very beneficial in a world with a rapidly expanding population, rising health issues, and limited access to medical facilities. A patient monitoring equipment is often used to quantitatively measure a patient's vital signs, including blood pressure, temperature, ECG, heart rate, and SpO2. This study attempts to enhance the future of healthcare by developing such a patient monitoring system. The ECG dataset was downloaded from CPEIC. The device created for this study can measure four parameters, namely ECG, SpO2, heart rate, and body temperature. The values are displayed on an LCD screen and the device is IoT-based, allowing data transmission to a web application for easy and universal access. To address the issues encountered, the device is designed to be cost-effective, dependable, and portable. The ECG output of this IoT-based model was thoroughly examined and tested using a deep learning model known as Inception V3 to determine the accuracy and dependability of the network. The model obtained phenomenal training loss of 0.1315 and a training accuracy of 96.66%. On the validation set, it achieved a validation loss of 0.1146 and a validation accuracy of 96.90%. Two-dimensional Gaussian elimination was used to remove noise from ECG images.

Fractal View and Thermal Behavior of Fractional Metallic Porous Fins in Response to Changing Convective Conditions

Hafiz Muhammad Younas — 2024-06-10

Porous, permeable, and structured fins enhance heat transfer due to their
thermophysical properties. Understanding the thermal gradients in these fins is critical for
a variety of engineering applications. This study applies the Homotopy Perturbation
Method (HPM) to nonlinear fractional differential equations describing porous fins,
focusing on factors such as porosity, permeability, and convection. Thermal analysis with
an insulated tip of a copper alloy reveals that porosity has the greatest impact on heat
transfer. The study highlights the effectiveness of HPM in analyzing these thermal
systems. The system's porosity is found to be more influential than any other factor.