In this paper, we investigate the preservation of some topological properties during the weakly discontinuous, scatteredly continuous, and point-wise discontinuous maps on topological spaces. In addition, we also investigate the preservation of topological properties during such corresponding homeomorphisms. Furthermore, we also establish some significant relationships among weakly discontinuous, scatteredly continuous, and point-wise discontinuous maps. Scatteredly continuous map, weakly discontinuous map, point-wise discontinuous map, weak homeomorphism, scattered homeomorphism, point-wise homeomorphism.

In the digital age, Artificial Intelligence (AI) is pivotal in enhancing cybersecurity, offering advanced capabilities to detect and mitigate cyber threats efficiently. This article delves into AI's role in strengthening cyber security, emphasizing its ability to proactively identify vulnerabilities, forecast attacks, and automate incident responses. It also addresses the challenges and ethical concerns associated with AI in cyber security, such as the potential for misuse by cybercriminals to conduct sophisticated attacks and issues related to data privacy and algorithmic bias. The piece highlights the necessity of a balanced approach to leveraging AI, advocating for collaboration among stakeholders to navigate the ethical and regulatory complexities. Ultimately, it underscores AI's indispensable role in developing resilient cyber security frameworks and fostering a secure digital environment amidst an increasingly complex threat landscape.

Home automation system has achieved an enormous reputation in recent years, as day-to-day life is getting simpler due to the speedy growth of modern technology. Various implemented systems have been offered in the sphere of Home Automation but have apparently failed to provide cost-effective solutions for the same. In this paper, we provide a low-cost smart Home Automation and Security System (HASS) using Wireless Fidelity (Wi-Fi), and Bluetooth. These materialize the concept of internetworking of smart devices. A Wireless Sensor Network (WSN) based on Wi-Fi is considered to monitor and control the smart environment, safety as well as electrical parameters of a smart interconnected home. The Android application-based Graphical User Interface (GUI) on a Smartphone is used to give facility to users for seamless control over the devices in a smart home. It may also consist of home security for example access control and alarm systems. When connected to the Internet, home devices are an important element of the Internet of Things (IoT). Home security includes both the security hardware placed on a property and individuals' personal security practices. Security devices consist of a door locking, alert alarm, lighting, motion detectors, and security camera system. Additionally, several special features include such as ensuring windows are closed, each door is locked, all alarms are activated, and extra keys are not secret outside.

The first principle in construction works is to have resistant land to build a building. Soil improvement is one of the common methods of improving geotechnical properties and increasing the usability of soil materials. One of the ways to improve the properties of the soil and transform the land into a place where construction is possible is to modify the soil by using additives to it. The use of waste as a material to improve the physical properties of the soil has attracted the attention of researchers. Among these wastes, we can mention rubber wastes, which, in addition to the large volume they occupy, will also cause environmental pollution. In this article, the effect of adding plastic bottle ash on the Zetterberg range and paste properties, the California bearing ratio, and the resistance properties of clay mixed with sand has been investigated. The results of the laboratory tests obtained from this research show the improvement of soil properties by adding plastic bottle ash.

Noise pollution is an extensive concern for urban areas around the world. Gazipur is one of the significant hubs of the garment industry in Bangladesh. The purpose of the study was to address the highest sources of noise pollution in this City and identify the public perceptions of noise pollution. Noise levels have been measured from 38 locations of the City from 8.00 am to 6.00 pm including industrial, mixed, commercial, residential, and sensitive zones on both working and non-working days. ArcGIS based assessment using IDW spatial interpolation technique was used for the mapping of the measured noise levels across the study area. The highest average noise level (100.9 dB) was observed at Joydebpur Junction in the period of the evening (4.00 pm to 6.00 pm) and the lowest average noise level (47.5 dB) was observed in front of the Banghabandhu Satellite Ground Station in the period of the afternoon (12.00 pm to 2.00 pm). Heavy industrialization, vehicles horn, construction sites, traffic noise, loudspeakers, expired engines, loud talking, and outdoor parties are the extensive reasons for the increase in noise pollution in Gazipur City. Study showed that the noise level in every location was higher than the standard levels. Survey data indicated that city dwellers endure noise pollution headaches, irritable moods, sleeplessness, bad temper, and stress. This study strongly suggests that proper implementation of the existing laws helps to mitigate and reduce the noise pollution situation in the study area.

The education sector plays a vital role in achieving long-term economic and national development. During the last decades, due to the availability of resources and technology, efficient and higher standards in education have become easier to attain. The amount of data in educational institutions is growing rapidly. Through the data mining and machine learning methodologies, it has become easier to look into data from a different perspective and extract various information from the data. In our research, we use various algorithms to find out the correlation between features and predict students’ performance using their academic records. We try to find out the factors which affect and influence the performance of students. We implemented both unsupervised and supervised learning algorithms in our research. K-mean clustering has been used as an unsupervised learning method to group the students and find out the dependencies between the features. For prediction purposes, we use classification techniques like KNN and Linear Regression to predict students’ performance. Our research not only aims into finding useful information but also provides insight into students’ preferred teaching methods, potentiality, and performance. This information can guide the students for their future and guide them to their preferred fields according to their skill sets.

Recently, the degradation of concrete has become a serious problem worldwide and one of the principle factors of degradation is the carbonation process. It is well established that environmental conditions affect the carbonation progress of concrete among the most important factors that can greatly affect the carbonation resistance of concrete are relative humidity (RH) and temperature. Carbonation has become a threat to concrete structures, especially in urban and industrial areas. Thus, it is necessary to have a proper design to maintain the structure's stability against degradation caused by carbonation. Therefore, this study was conducted to evaluate the effects of different environmental and climatic conditions on the carbonation rate of concrete. The specimens were prepared using OPC and fly ash (FA). After 28 days of air curing, specimens were exposed to different climate conditions under sheltered and un-sheltered conditions. The carbonation tests were conducted at the ages of 6 and 12 months. It was found that the carbonation rates were significantly influenced by the climate and environmental conditions; the specimens exposed to a relatively dry environment and low annual precipitations have shown higher carbonation during one-year exposure. Moreover, in unsheltered conditions, the annual precipitation significantly affects the carbonation rate of concrete. Furthermore, it was observed that a 20% replacement of FA does not enhance the carbonation resistance of concrete.

LSTM (Long Short-Term Memory) has revolutionized the approach to time series prediction many folds due to its appropriate capability to forecast through Non-Linear forecasting methods. It’s observed that RNN has the capability to similarly think through given enough training in accordance to desired functionality models. Due to the Gated Structure referring to storing relevant information and forgetting the irrelevant information’s LSTM made revolutionary accomplishments towards non-linear forecasting that is dependent on human-like behavior. In this research, we have focused on making a comparison between two different portfolio’s which will depend upon LSTM’s future forecasting capability in terms of predicting the best possible output which gets illustrated through Portfolio Optimization principles

General Relativity describes the movement of bodies in strong gravitational fields with the geometrical structure of the dynamical space-time continuum. Accelerating objects produce changes in the curvature which propagate outwards at the speed of light in a wave-like manner which transports energy as gravitational radiation and this phenomenon are known as gravitational waves.

This study represents work in progress towards a complete system of a humanoid robot. With this aim, the system must be capable to interact with a human, Give response to the question, do gestures, assist with finding an information, remember different types of thing, find internet data regarding the user’s query, find errors in its system and save a log file in order to further development and debug, autonomous servo control with the help of PID (proportional-integral-derivative) controlling. Open CV, Servo Control (Head) the system integrates with facial and object recognition to achieve its objectives based on PID quality, among other advanced capabilities derived from Open CV (camera). Details of the implementation of the currently developed system will be displayed. Towards the end, after success in the preliminary results obtained on our campus, we are encouraged to do so in order to obtain a complete prototype.