SwiftTrip: Your Smart Travel Companion for Effortless Planning and Memorable Journeys

This paper presents "SwiftTrip," an innovative tool designed to enhance travel planning by integrating location, activity, weather, and packing considerations. As travel becomes increasingly spontaneous, there is a need for comprehensive solutions that cater to dynamic travel environments. "SwiftTrip" addresses this gap by offering detailed vacation itineraries, weather forecasts, and customized packing lists. The system utilizes climate patterns to suggest optimal travel routes and weather-sensitive recommendations for attractions and activities. Advanced algorithms analyze meteorological data to generate personalized packing lists, ensuring travelers are prepared for varying weather conditions. By providing current and forecasted weather data, including temperature, precipitation, and wind speed, "SwiftTrip" aims to make travel planning more informed and enjoyable, ultimately enhancing the travel experience in a rapidly changing environment

Android Application for Remote Control of Personal Computers

The development of mobile devices, particularly in these modern times, has brought about a significant transformation in the way business is conducted. The capability of a mobile phone device is frequently anticipated to be comparable to that of a computer. In this day and age, the majority of people who use mobile phones feel that performing some things on their computers is inconvenient. The majority of people find that switching postures when sitting or stretching not only makes them feel more comfortable, but also makes them feel more at ease when they are browsing through their laptops. Standing five or ten feet away from the computer while being restricted to using only the keyboard and mouse can be an impractical situation. Additionally, the system provides the features to access the files that are available on the computer; if the file appears to be a media file, this Android app can play, pause, stop, mute, and turn on/off full-screen mode of the respective media. As a result, the application that is being proposed is intended to transform the handphone into a wireless keyboard or mouse that also includes a touch pad. The wireless network is the medium through which the link is established (WiFi). It has been demonstrated that this prototype is capable of performing the majority of the functions that are often associated with a computer

A Visual Approach for Detecting Tyre Flaws That Makes Use of The Curvelet Characteristic

Automatic flaw identification is a crucial and difficult subject in the realm of industrial quality inspection for many different types of businesses. After the tyres have been manufactured, we use the curvelet transform to do an analysis on each tyre in order to locate imperfections on the tire's outer surface. In this paradigm, deep image features can be learned, and then later used for detection, classification, and retrieval tasks using bigger coefficients in the sub-highest frequency band represented by the curvelet feature. Curvelets are a type of wavelet transform that are used to represent curvelets. We investigate image categorization challenges using deep learning with the goal of applying our findings to practical, real-world applications. The findings of the experiments demonstrate that the method that was developed is capable of accurately locating and segmenting flaws in tyre images

OTP as a Service in the Cloud Allows for Authentication of Multiple Services

Users no longer trust traditional password-based authentication methods since so many online services now interact with one another. Credentials obtained online are often used to reclaim additional credentials, and sophisticated assaults often target the weakest of a large number of available credentials. One-time passwords and a two-factor authentication mechanism appear to be a natural improvement over traditional username/password schemes, thus researchers are looking into them. The OTP verifier is deployed to the cloud in this manuscript to facilitate its use by cloud service providers. OTP providers can outsource their OTP deployments to the cloud and cloud customers can activate their accounts on the OTP provider across many cloud services when the OTP verifier is hosted in the cloud as a service. This lets them take advantage of multiple cloud services without having to juggle multiple OTP accounts. Alternatively, OTP service provision prevents novice SMEs from overspending on OTP provisioning hardware, software, and staff. This paper presents the architecture necessary to create a trustworthy OTP provider in the cloud, one that respects users' right to privacy. The OTP provider registration, activation, and authentication processes for cloud users are examined. We define and evaluate the privacy and security implications of the suggested architecture. With these assumptions in place, attacks from unknown sources, user profiles with unlinkable features, inquisitive service providers, and OTP verifiers are all thwarted. The analysis ensures the reliability and validity of the proposed solution, which places the OTP supplier in the cloud

Using a Deep Convolutional Neural Network to Identify Vehicle Driver Activity

Driver actions and judgments are the most critical aspects influencing passenger safety in a vehicle. Common things that drivers do include: driving safely, talking on the phone, texting, eating, reaching behind, altering hairstyle or makeup, operating the radio, and operating mobile phones. The first four are considered typical driving duties, whereas the latter seven are considered distractions. The strategy is to take in the live feed from the dashboard camera, process the frames with pre-trained convolutional neural network (CNN) models, and then refine it with the transfer learning method to identify the driver's activities. An activity recognition system for drivers is developed utilising deep Convolutional Neural Networks in order to monitor their actions (CNN).  A warning is sent to the driver based on the identified driver's actions. In addition to activating the warning lights, the system gently slows down the vehicle or forces the driver to shift to the side lane and come to a complete stop in order to protect everyone in the vehicle and the surrounding area

Family Governance and the Moral Obligation of Businesses to Serve Their Communities

The concept of corporate social responsibility is increasingly being embraced by businesses of all kinds and in all areas of society. The necessity of conducting an investigation on the level of Corporate Social Responsibility performance by family businesses is one of the aims of this article. Second, the purpose of this article was to investigate how well non-family businesses perform in terms of their corporate social responsibility obligations. The practise of corporate social responsibility has continued to gain ground in the business world. In the context of a company, "Corporate Social Responsibility" refers to any extracurricular endeavours that go above and beyond the company's routine operations in order to further the common good. Corporate Social Responsibility, for example, has been shown to contribute to increased stock returns, increased access to financing, increased opportunities for companies to merge, and increased opportunities for firms to reduce the cost of their capital. These findings, which have been expressed in a variety of studies, show that companies place a great deal of importance on corporate social responsibility. For example, to demonstrate how much importance companies place on corporate social responsibility, consider the following: the findings expressed in these studies show that corporate social responsibility contributes towards increased stock returns. However, only a few studies have shown that Corporate Social Responsibility is dependent on a few determinants such as regulations, characteristics of chief executive officers, political affiliations, as well as national institutions; the study adopted questionnaire instruments to collect primary data through a survey approach from respondents from family-controlled and non-family-controlled companies. According to the data, family-controlled businesses had a poorer performance in terms of corporate social responsibility than non-family-controlled businesses

Application of Machine Learning to the Process of Crop Selection Based on Land Dataset

We are well recognised that the vast majority of Indians work in agriculture. Most farmers always grow the same thing, always use the same amount of fertilizer, and always plant what the people want. Recently, there have been many breakthroughs in the use of machine learning in many fields of study and business. Thus, we intend to establish a framework for the application of machine learning in agriculture for the benefit of farmers. India's economy relies heavily on the nation's agricultural output. Agriculture, then, has the potential to serve as the backbone of the Philippine economy. Choosing the right crop every time is crucial when making agricultural plans. Researchers have utilised machine learning to explore agricultural issues such as crop yield, weather prediction, soil categorization, and crop labelling. Our Indian economy really needs the agricultural sector to undergo significant reforms. Simple applications of machine learning systems in agriculture have the potential to significantly enhance this industry. In addition to the considerable role played by improvements in farming machinery and technology, functional information about many subjects also plays an important role. The main idea of this study is to use the crop selection approach in order to address numerous issues in farming. This increases the wealth of India by increasing crop yields to their maximum potential. In our study, we use the method Random Forest (RF) to estimate a crop and then evaluate its performance relative to that of competing technique

COMPANY CREDIBILITY: A TOOL TO TRIGGER POSITIVE CSR IMAGE IN THE CAUSE-BRAND ALLIANCE CONTEXT IN INDONESIA

Purpose of study: This research aims to analyze the mediating effect of corporate social responsibility (CSR) image in the effect of company credibility dimensions (trustworthiness and expertise) on participation intention, in the cause–brand alliance (CBA) context. Methodology: The sample design which is used is purposive sampling with the sample criteria as the stakeholders of the University of Lampung, Indonesia. Data were collected by direct interview. Multiple regression analysis is used to test the hypotheses with 160 university’s stakeholders, using purposive sampling. Result: The results show that trustworthiness and expertise have a directly positive significant effect on CSR image. However, expertise statistically has a greater positive significant effect on consumer participation intention toward the CBA than trustworthiness. This finding is contrary to the contrast-effect theoretical framework (Dean, 2003) and balance theory (Heider, 1958). Newly finding is that CSR image considered a mediating role in the effect of trustworthiness and expertise credibility on participation intention. Implications: This implies that in the context of CBA, the company’s trustworthiness and expertise can be a more useful tool to trigger the positive CSR image in encouraging the stakeholders’ perception to buy the products and services or brand of the company implementing CSR, because CBA practices are considered as a genuine social cause, not as a promotion tool. Novelty/Originality of this study: In this study, the collected data uses the cross-sectional design and the CBA context uses CBA practices implemented by agriculture, education service, beverage industry, and a bank stated-owned enterprise

The use of Internet of Things (IOT) Technology in the Context of “Smart Gardens” is Becoming Increasingly Popular

When we're away for a few days. In these circumstances, we can't water our beloved plants or we're too busy to do so, so we often forget about them. Indoor plants require regular watering, so it's hard to keep them alive. Simple solution. It's perfect for lazy individuals like me. We wish to implement IOT and cloud-based technologies, which are popular presently. This project measures the micro garden's soil moisture, temperature, and humidity. We can cut water waste by using machine learning models to determine if a farm needs watering based on soil factors. It has a microcontroller to which other things are attached. NodeMCU is the hub to which moisture, humidity, and temperature sensors are attached. A soil moisture sensor connected to a water tank shows tank level. Other sensors feed data to NodeMCU, which has built-in Wi-Fi. BLYNK is an online database that updates sensor values every second. Users can monitor parameters from anywhere. Soil type affects garden watering. For software automation, sensor values are predetermined. A switch in the app automates garden watering as needed. This improves garden maintenance

The Impact of Corporate Reputation on Organizational Performance

The empirical study is carried out in Enterprises. The data was collected using a questionnaire distributed among 100 of the employees. The questionnaire is intended to measure the banks perceived credibility on building and developing the business correlations with the clientele. Regarding the hypothesis’s validation, Multiple Regression Linear statistics were performed using the SPSS software. The research findings revealed a direct interrelation between the independent variables (reputation, image, and culture) and the dependent variable. The higher the organizations importance is, the better its performance