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.