Volume 10 | Issue 6 |

 Abstract

The use of information and communication technologies no doubt is gaining momentum in Indian higher education . The Internet is used by faculty, staff and students in sourcing information. Information and communication technologies assist lib raries in providing efficient and current information services. Once the s taff and students are able to u se these technologies effectively, the teaching, learning and research activities in the college will be made easier fo r the college community. ICT usage will facilitate development since there will be free flow of information. The electronic revolution, specifically, Internet is narrowing the information gap. The power of web technology is enabling the generator of information to disseminate their creativity at low cost and high speed. Internet is the gateway for libraries and information centers to enter the Electronic Information Era and is providing the information, generated by different organizations, institutions, research centers and individuals all over the wo rld. This paper is an attempt to investigate the use of Information and Communication Technology among the students of rural areas in Tamil Nadu. For this purpose a survey was carried out using questionnaire tool. The findings indicated that more than half acquired their internet skill through training from the college. The results indicated majority of students used Internet weekly (56.53% ). The study found that most of the respondents 73. 91% us e internet for literature search

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ke y wo rd s ICT, Internet, E-Resources, Online Help, Websites, CD -ROM , Information Needs

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract Customer service has always been the hallmark of the Tourism and Hospitality Industry since last decade in Rwanda and the industry was among the top priorities to contribute to the development of the country, however due to COVID-19 pandemic spread all over the world since December 2019, many service sectors has been injured by the pandemic where some were partial or fully closed, including tourism and hospitality industry. In February 2022, the pandemic slowed down and the government allowed most of the closed businesses to resume again, it has been long waiting time for customers and employees to meet again in service environment. The purpose of this study is to analyze service failure recovery strategies by food and beverage employees in Rwanda after COVID-19 Pandemic. One hundred and fifty (150) food and beverage professionals were selected randomly from different establishments in different touristic areas of Rwanda such as Kigali, Musanze, Rubavu, Karongi, Kayonza and Huye. With the use of Google forms, forty four (44) questionnaires containing twenty most likely service failures in F&B establishments with their possible recovery actions were given to respondents to determine which best action to recover each service failure. The results demonstrated that some actions are mostly used by respondents to recover service failures after the pandemic (table 4) and others are less recommended. The study suggests that F&B establishments should establish complaint procedures that are unproblematic and free from bureaucracy as possible; to invest time, money and effort in handling customer complaints properly, to give more comprehensive trainings to their human resources in dealing with complaining guests. The study concludes that the main service failures are linked staff professionalism, managers are advised to initiate day to day awareness and on job empowerment to their staff for minimizing or removing all those failures so that Tourism and Hospitality Industry might catch the good level than before the Pandemic.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Service failure, service recovery, F&B Establishments

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this modern age there is rapid increase in number of vehicles and so is the number of car theft attempts, locally and internationally. With the invention of strong stealing techniques, owners are in fear of having their vehicles being stolen from common parking lot or from outside their home. In this proposed vehicle security system face detection system (FDS) is used to detect the face of the driver and compare it with the predefined face. Real-time vehicle security system supported computer vision provides an answer to the present problem. Thus the protection of vehicles from theft becomes important due to insecure environment. Real time vehicle security system based on computer vision provides a solution to this problem. The proposed vehicle security system performs image processing based on real-time user authentication using face detection and recognition techniques. As the person enters the parked car to the driver's seat of the vehicle activates the hidden camera fixed in an appropriate position inside the vehicle. As soon as the image is acquired from the activated camera, the face of the person is detected. The extracted face is recognized using the PCA. Face recognition is the technique in which the identity of a human being can be identified using ones individual face. Such kind of systems can be used in photos, videos, or in real time machines. The objective of this article is to provide a simpler and easy method in machine technology.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Vehicle security, face detection, face recognition, license verification, Warning message, authorization

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this virtual global of Industry 4.0, the speedy development of technology has affected the everyday sports in groups in addition to in non-public lives. Internet of Things (IoT) and packages have brought about the improvement of the current idea of the records society. Though a few latest studies research exist on this direction, the overall performance of the algorithms is biased with the education data. There is a want to mitigate bias and examine those techniques independently so as to arrive at new more desirable techniques for powerful 0-day malware detection. To fill the space in literature, this painting evaluates classical MLAs and deep getting to know architectures for malware detection, class and categorization with each public and personal dataset. The educate and take a look at splits of public and personal datasets used withinside the experimental evaluation are disjoint to every other and amassed in distinctive timescales. In addition, we advocate a unique photo processing approach with most desirable parameters for MLAs and deep getting to know architectures. A complete experimental assessment of those techniques suggests that deep getting to know architectures outperform classical MLAs. Overall, this painting proposes a powerful visible detection of malware the use of a scalable and hybrid deep getting to know framework for real-time deployments.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

malware, framework, photo processing, MLAs, classification, categorization, system

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The security of information, or data, in today's communication environment is the most significant problem. The image encryption approach should be constructed in such a manner that it improves the efficacy of communication while also keeping data safe from unwanted access. The business world, health care, military activities, and multimedia systems all use image encryption. Encryption is the process of converting plain text into cipher text, whereas decryption is the act of converting cipher text back to plain text. Encryption and decryption techniques make up cryptography. We have discussed the different encryption terminology, the purpose of cryptography, and its kinds in this article.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Encryption, Data Encryption Standard, integrity, authenticity, cryptography.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

With the tremendous increase in the level of population and mechanization, pollution has increased many folds. This results in deterioration of individual health. There by directly affecting health of entire population. An IOT Based Air and Water Monitoring System using Raspberry pi is proposed which will monitor the level of pollution over a web server using internet. Sensors can be deployed at various locations which can sense and collect data. The big data can be uploaded on the Google cloud which facilitates monitoring from any part of the globe. The presence of harmful gases like Smoke, CO, Butane and LPG above a particular limit may turn fatal which can lead to severe accidents. This type of accidents can be prevented by implementing an effective pollution monitoring system. The air quality and water Ph is displayed on the webpage which makes environment monitoring easy and whenever the air quality goes high, it triggers an alarm. So, here in my project, the main aim is to monitor various gases which are responsible for air pollution and to monitor Water ph.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Iot, Monitoring, Sensors, big data, Cloud, Web page, pollution, Raspberry pi, Internet, mechanization

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Teacher Effectiveness, Social status, Locale, Type of School, Teaching Experience and Secondary School Teacher

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The formation of aberrant cells in the brain, some of which may progress to cancer, is known as a brain tumor. Magnetic Resonance Imaging (MRI) scans are the most common tool for detecting brain tumor. Information on aberrant tissue growth in the brain is identified using MRI imaging. The detection of a brain tumor has been discussed in a number of studies. Machine Learning and Deep Learning algorithms were used to accomplish this. When these methods are used on a data set, MRI scans The diagnosis of a brain tumor is done quickly, and the higher the accuracy, the better the patients' therapy, this forecast aids the radiologist in making timely decisions In the proposed scenario. In this study, an Artificial Neural Network (ANN) and a Convolution Neural Network (CNN) with self-defined parameters are used in recognizing the presence of tumor in human brain and the action is analyzed.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Convolution neural network(CNN), Artificial neural network(ANN), Magnetic resonance image(MRI)

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Hyperspectral Classification is one of the most emerging technologies where input image plays important role as that of the processing that takes place so the pre-processing stages are an important step before the image can be used for classification or any other analysis. The stages of the pre-processing done for the image include Bad-band removal, vertical De-stripping, Radiometric calibration, Atmospheric correction, and Dimensionality reduction (MNF) and End member extraction. Since hyperspectral image can be used in variety of fields such as agriculture, mining, food quality, soil type, defense etc.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Image processing, Hyperspectral Imaging, pre-processing, Feature Extraction and reduction

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Internet of Things (IoT), Smart Mirror, Arduino, Wi-Fi Module.

  License

Creative Commons Attribution 4.0 and The Open Definition