In this article, we propose a user card-based authentication technology to improve the authentication process in systems that allow users to access remotely and increase the security rate when exchanging messages. In this technology, the server performs two functions. The first function is to register a user and give him a user ID and PIN. The user's private card contains confidential information, which is used to perform RC4 symmetric encryption on user messages. Encryption. pr and asymmetric use RSA encryption, the second function, if the user needs, distribute the user’s public card, in which the user sends his identity verification code with his own user’s name and the recipient’s user name to the authentication check, and then the server sends the user's public card is sent to the receiving user, and the sending user can send the message to the receiving user without returning to the server again. We achieve confidentiality through the use of RC4-Pr and RSA encryption and message authentication, user signatures and the use of RSA encryption. In this article, we have also implemented the proposal in the RC4-pr algorithm, which has been modified to improve the key weakness of the basic RC4
The integration of artificial intelligence (AI) into the world economy has marked one of the largest occurrences of the economic phenomenon of creative destruction in the history of capitalism. In numerous sectors including medicine, manufacturing, and education, AI has been rapidly enabling newer and more efficient market structures and means of production. However, this trend isn’t universal in the AI field. The autonomous vehicle sector is lagging severely behind in -terms of economical innovation. This paper will examine the root causes of said disparities and provide a thorough analysis of internal and external market trends creating them. By further exploring Economist Joseph Schumpeter’s theory on Creative Destruction presented in his book Capitalism, Socialism and Democracy, we identify the core tenets of creative destruction and label it the disruptive driving force of capitalism that breaks down market structures to yield newer and more efficient alternatives. We observe the primary incentive behind creative destruction is profit and find it to be an objectively good process. In our following case study of autonomous vehicles under the theory of creative destruction, we analyze three different groups: traditional carmakers such as Nissan, non-traditional carmakers such as Tesla, and finally tangentially related innovators such as Uber. These groups have applied varying methodologies in the pursuit of vehicular autonomy and have yielded various results of final products. We conclude that the autonomous vehicle sector (independent of which previously mentioned subset) can not be considered a form of creative destruction for the following reasons: political interferences from governmental authorities, fundamental and recoverable roadblocks in current deep learning technologies, and market speculations curbing traditional profit incentives. To address these issues we also propose future plans the autonomous vehicle sector can undertake (specifically employing more comprehensive testing to address skepticism about the technology and employing significantly larger training sets during AI model development) to avoid this debacle and become economically viable as a form of creative destruction.
This paper examines the causes of poverty and the causes and programmes to eradicate poverty in Malaysia. This paper focuses on the grounds of poverty that occurs in rural areas. The government introduced various initiatives to help increase the income gap of the rural population. Amanah Ikhtiar Malaysia (AIM), Economic Fund Business Group (TEKUN) and Muda Agricultural Development Authority (MADA) are three important institutions that are active in development programmes and can be entrenched with poverty eradication programmes in Malaysia.
Studies on the mechanical and physical properties of high-density polyethylene (HDPE) and polyvinylchloride (PVC) blend was investigated. The pure high-density polyethylene, pure polyvinyl chloride, and composite samples were characterized for tensile strength, hardness test, water absorption test, and modulus of elasticity (MOE). The results of the tests indicated that pure high-density polyethylene (100%PE) and pure polyvinyl chloride (100%PVC) shows high tensile strength than those composite samples, and pure polyvinylchloride shows a higher tensile strength and modulus of elasticity (MOE) than pure HDPE. Blends containing 50%PE/50%PVC have the best mechanical and physical properties with a high modulus of elasticity (MOE) at 179.4MN/m2 and a percentage moisture content of 0.2% with 68.4DM (Durometer) as the value of hardness.
Education marketers are innovating and simultaneously soul-searching to have triumph over competition. To manage aspirations private HEIs are re-engineering academic processes, outsourcing, setting new benchmarks, forming alliances to go global. So assessment of enrollment performance over the years is important to understand the marketing effectiveness. Academic Product Life Cycle (APLC) is a dominant marketing tool to determine the growth as well as survival strategies for private HEIs. It also showcases the effectiveness of marketing strategies over the years and strategies required for corrective measure. Secondary data of professional colleges offering AICTE approved Hotel Management courses in West Bengal were collected. Data of enrollment and intake were collected from All India Council for Technical Education (AICTE). Periodic APLC (2008-09 to 2024-25) and forecast were developed by using time series analysis.
Despite being a profession with the highest healthcare workforce globally, nursing has not received proper recognition. Developed and developing countries are still facing tremendous challenges in the healthcare sector. Nursing is a critical profession that deals directly with people's lives; hence, there is a need to develop policies and procedures to strengthen and develop tremendous recognition and acknowledgment of this profession. The nursing profession is badly affected in developing countries, where the governments do not take serious actions to combat the challenges facing the entire healthcare workforce. Like any other profession, nursing should be entitled to the highest degree of autonomy that marches the highest level of training and education to benefit society (Bhutta et al., 2011). This paper aims to elaborate on the role of nursing teachers working as academic community in providing support for all students socially and academically to succeed for their future.
The main objective of the study was to find out challenges faced by the teachers and students in using digital platforms as a means of teaching and learning process, since it was a new phenomenon at the Faculty under study. The study employed pragmatic paradigm and case study strategies,. Moreover, it used triangulation for data analysis, incorporating both qualitative and quantitative approach. For data collection, the research used questionnaire and semi-structured interview and it had 92 participants,. Therefore, the results show that teachers and students face challenges such as lack of compatible devices, lack of airtime for interne and effective internet signal, lack of mastery of the DLP etc. and among the suggestions that were given is that the managers should train teachers and students in the digital learning platform and equip the computer room with enough computers and strong internet signal.
The General Objective is to explore the overall satisfaction levels of students on virtual learning at Admass university megenagna campus. In the context of higher education, the Admass University was become a major legendary center of private Higher Education, in a short period, respected by Ethiopian private universities that start alternative media of teaching for the sake of students from the covid 19 pandemics. Subsequently, Students Level of Satisfaction with Virtual Learning did not assess till now. Accordingly, this study attempted to assess the level of satisfaction and the influence factors virtual learning systems success and placed them in a holistic model in the context of admas university students that would enable them to sustainably implement the system. The Delone and McLean (1992, 2003) model, adopted to develop the study model. Several different types of virtual learning students were participated in the study and were employing random sampling. Using random sampling the questioner for Data (n=286) students were gathered via email and telegram. The study used quantitative research methods takes place in two consecutive study phases and analysis encompass descriptive analysis, reliability analysis, correlation and parameter estimation regression analysis. Structural Equation modeling using SPSS to test the model was employed.
The world is under the threat of COVID-19 pandemic caused by SARS-COV2 since January 2020. And this pandemic has caused millions of deaths still it is affecting the lives of many people affected by this viral disease. The unavailability of definite treatment is a main focus to ponder because symptomatic treatment like use of antibiotics, steroids and oxygen therapy is also a cause of many opportunistic infections like oral candidiasis caused by Candida Albicans and the main reasons of this infection are the excessive use of medications which may cause drug reaction, the continuous use of oxygen therapy and co-morbidities and poor oral hygeine etc. which increase the length of hospital stay of patient and also affect the quality of life of patient as patients become dysphagic as unable to take orally due to the severity of this opportunistic infection. This case study was done to check the prevalence of oral candidiasis in inpatients of COVID-19 and their possible management was done with the use of both topical as well as systemic antifungals and this condition resolved in 5 to 7 days with the proper management and proper maintenance of oral hygiene. Keywords: Pandemic, opportunistic, infection, topical, systemic, hygiene
The paper surveys various aspects of data mining research. Data mining is helpful in acquiring knowledge from large domains of databases, data warehouses and data marts. Various and current fields of data mining were also discussed. Various open source tools as well as data mining issues and challenges are also addressed. Data mining is an important and developed research field and is also used by biologists for statisticians and computer scientists
Smart homes are gaining more popularity in recent times as it improves the quality of living using Internet of Things (IoT) and Artificial Intelligence (AI). Most of the devices has smart sensors and electronic controllers which can interact with each other automatically via internet through automation technologies like Z-Wave, ZigBee and X10 to make life comfortable for users due to controllability from remote locations. Green energy sources are used for supplying power through power electronic converters which itself is a source of harmonics. The smart home devices often break down due to hardware failures which includes blown fuse, melted capacitors, failing circuit boards etc., thus making life miserable. Many problems commence from poor voltage quality. The need of the hour is intelligent controller based smart voltage conditioning device. The first step in designing conditioning device is selection of intelligent classification algorithm which detects the type of issue and activate the correct controller instantaneously. The controller generate switching pulses for power electronic compensating device based on estimation of voltage quality problem. Separate best fitting AI models are chosen for real time estimation of voltage magnitude related issues and harmonic pollution. The major quality issues identified are voltage sag, voltage swell, voltage flicker, momentary interruptions and harmonics. This paper compares decision tree classifier, random forest classifier and XG Boost Machine Learning (ML) algorithms for voltage quality classification model. Also the performance of linear regression, ridge regression, lasso regression, decision tree regressor, support vector machines and random forest regressor is analysed for real time estimation of voltage quality.
Educational continuous assessment was introduced into the Nigerian Educational System in the early 1980s, to replace the one-shot assessment at the end a term, semester or session. Up till today, the practice of this policy is nothing to write home about. The principal actors in the policy are classroom teachers. One wonders what variables associated with the teachers could be held responsible. This study was aimed at investigating the influence of teacher’s training and attitude towards continuous assessment on the actual practice of continuous assessment. To achieve this purpose a 35-item questionnaire, with 30 items built on a 4-point modified Likert Scale was administered on a random sample of 1080 secondary school teachers, from the three (3) Education zones of the state. The selection from a population of 5,057 secondary school teachers was done using stratified random sampling techniques. Simple and multiple linear regression analyses were applied in analyzing the resulting data, using the SPSS (version 22.0). The results showed that continuous assessment practice is individually, collectively and relatively significantly influenced by teacher’s training and attitude towards continuous assessment. It was recommended among others that there should be a retraining programmes in continuous assessment for teachers as the main actors in the implementation of the policy.