Artificial Intelligence
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I In the OSI model, fragmentation is a process that occurs in both the network and data link layers. At the network layer, the network layer protocol or layer 3 device performs fragmentation of large data packets into smaller packets that are easier to transmit across the network. At the data link layer, the data link layer protocol or layer 2 device performs fragmentation of large packets into smaller frames that are easier to send across the

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1. Introduction To DSA Arrays DSA (Dynamic Size Arrays) are a data structure that allow for constant-time insertions and deletions, while also providing the flexibility to grow and shrink as needed. Unlike other data structures such as stacks and linked lists, DSA arrays are highly efficient and are used in a wide variety of applications. 2. Creating a DSA Array Creating a DSA array is quite simple. The first step is to define an array of

1. Higher aggregate:cement ratio increases the water demand in PQC mix design. 2. Increase in the particle size of the aggregate increases the water demand in PQC mix design. 3. Use of high-strength cement and superplasticizers increases the water demand in PQC mix design. 4. Increase in the percentage of fly ash in the concrete mix also increases the water demand in PQC mix design. 5. Usage of admixtures to improve workability also increases

1. Sulaiman, A.R., Sweeney, J.D. and Reddy, L.A., 2017. Working Memory Capacity in Malaysian Preschoolers: An Exploratory Study. American International Journal of Contemporary Research, 7(10), pp.151-159. 2. Ismail, S., Jaafar, P.S., Dris, M. and Ramzi, R.M., 2019. The relation between temperament, working memory, and mathematic achievement for preschoolers. Psychologica Belgica, 59(1), pp.55-72. 3. Takeshita, Y., Deguchi, T. and Osman, K.H.,

1. Herbert, J. S., Zimmer-Gembeck, M. J., & Sander, L. (2018). Working memory: Understanding the development of executive control in preschoolers. Current Directions in Psychological Science, 27(4), 325–331. https://doi.org/10.1177/0963721417748386 2. Tollefson, N. (2017). Working memory in preschoolers: Identifying predictors of early working memory performance. North American Journal of Psychology, 19(1), 69–86. 3. Poarch, G. J., &

1. Zhu, D., Liu, B., & Zhang, Y. (2014). Design and fabrication of a smart assisted shoes for elderly people. Robotics and Biomimetics, 1(4), 4. 2. Moon, J. (2017). Assessing the usability of a smart assisted shoe for elderly users. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 61(1), 1773-1776. 3. Kao, T. Y., Chiang, P. L., & Yeh, H. C. (2013). Development of a smart assisted shoe to aid elderly gait. Electronic

the relative amounts of water and cement used in a concrete mix. It is an important factor in determining the final strength of the concrete. The lower the water-cement ratio, the stronger the concrete will be. The higher the ratio, the weaker the concrete will be. The ideal ratio for most applications should be 0.4-0.45, with lower ratios producing stronger mixtures.

1. Smart Assistive Shoes for Elderly: Current Concepts and Future Trends. 2. Wearable Sensors in Smart Assistive Shoes for Elderly People: Benefits and Challenges. 3. Dynamic In-Shoe Biomechanical Assistive Shoes for Elderly People with Balance and Gait Impairment. 4. Enhancing Mobility of Elderly People with Smart Assistive Shoes Based on Embedded Sensors. 5. Reliability of Smart Assistive Shoes for Elderly People: An Outcome Evaluation

Ahmad, M., Shin, S., Budi, P., & Choi, J. (2011). Smart assisted shoe for elderly: Design approach towards age-related impacts. Technology and Health Care, 19(3), 235–246. This paper describes a design approach towards developing a smart assisted shoe, aimed at improving the mobility of elderly people with age-related physical limitations. The design of this shoe consists of various components, such as sensing modules, embedded