Central Asian Journal of Theoretical and Applied Science
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AD-HOC Better Costing Dynamic Routing Protocol for Enhancement of Network Lifetime
Mobile ad hoc networks are generally infrastructure-less networks that are self-organizing temporary networks. They do not have a centralized controller. They are applied in diverse sensing and mobility applications. Routing in such networks requires a lot of considerations. Energy efficiency is a challenge in MANETs. This is because since nodes are in motion, they require energy. Energy efficiency in the network is increased by reducing power consumption. This is the primary idea behind this paper. The objective is to enhance the network's lifetime by avoiding the nodes from moving out of the network. We hence propose a novel routing protocol, Ad hoc Better Costing Dynamic (ABCD) protocol, which focuses not just on the residual battery power of the node but also on the energy required to forward the packets through the route. While choosing the path, according to the Mini-max formulation, the path which has the maximum energy among the lowest hop energy is given high preference. The purpose is to avoid using the path with the lowest energy, leading to link breakage. This paper evaluates three routing protocols, Ad hoc On-demand Distance Vector (AODV) routing protocol, Dynamic Source Routing (DSR) protocol and Ad hoc Better Costing Dynamic (ABCD) routing protocol and finds the ABCD protocol to perform better
Machine Learning-Based Student Emotion Recognition Using CNN Algorithm
Human activity acknowledgement has drawn in significant examination consideration in the field of PC vision, particularly for study hall conditions. Nonetheless, most pertinent investigations have zeroed in on understudies’ explicit conduct. Along these lines, this undertaking proposes an understudy conduct acknowledgement framework because of individual feelings recognition. A machine that can comprehend the feelings of a human better can anticipate and answer the human conduct better, which thus can altogether work on the effectiveness of the assignment that is intended to be finished. An AI-based convolution brain network calculation will be utilized to prepare facial inclination pictures information base and use move learning procedure to pre-train facial the model with facial picture data set, will its loads and premise. A prepared model will catch the live gushing of understudies by utilizing a high-goal advanced camcorder that countenances towards the understudies, catching their lives feelings through look, and characterizing the feelings as cheerful, nonpartisan, angry, shocked and pitiful that can offer us a piece of knowledge into the homeroom and the understudy feeling subtleties can be saved in the MYSQL data set. This exploratory methodology can be utilized for video gatherings, online classes, and so on. This recommendation can work on the exactness of feeling acknowledgement and offices quicker learning. We have introduced the exploration techniques and the accomplished outcomes on understudy feelings in a study hall air. We have proposed a better CNN model because of move discovery that interestingly develops the feelings grouping
BIOTECHNOLOGY OF PHYTOPLANKTON AND ZOOPLANKTON IN URBAN OPEN WATER BASINS, THEIR REPRODUCTION AND APPLICATION IN FISHERIES
Bukhara is a city surrounding the phyto-zooplankton basin, the head of the biotechnology service,as well as a specialist in phyto-zooplankton on the basis of: during the meeting, a number of studies areconducted on natural science, phyto-aquaculture, zooplankton populations, animal zooplankton; in thisregard, currently, there is a significant increase in the population. The recommendations developed foreffective breeding of Сhlorella vulgaris and Lemna minor were introduced into the practice of specializedfarming in fisheries, as a result of which all species in the fish pond were given as information on the typesand norms of fish that should be regularly carried out in the fisheries of the pond, allowing to obtain thenecessary amount of biomass
Пословицы Как Важный Источник В Формировании Нравственной Культуры Молодежи
В статье рассматриваются лингвостатистические характеристики пословиц. Пословицы как фольклорный жанр сочетают в себе жизненный опыт, мечты и стремления предков, их отношение к государству и обществу, историческое и духовное состояние, философские, этнические и эстетические чувства и т.д. Они оттачивались на протяжении тысячелетий, чтобы стать лаконичной лирической формой. Лингвистическая статистика — это дисциплина лингвистики, которая использует статистические методы для изучения, анализа и классификации языковых источников
Method for Developing the Skills for Composing Learning Tests in Teachers
The article contains materials on the science of testology, pedagogical tests and their types, didactic requirements for pedagogical tests, rules of pedagogical tests and test methods. Several guidelines and recommendations for the development and preparation of pedagogical tests are also provided
Fundamentals of Quality Assurance in the Higher Education System of Uzbekistan
The process of globalization is a phenomenon of higher education, and not a single university in the world can bypass its influence forces. With the development of science and technology and the growth of the economy, this leads to further integration between the countries of the world and the strengthening of international relations. This article describes the theoretical and practical foundations of quality assurance in higher education
Cost Optimization as an Important Factor of Increasing Company Income
The article considers cost optimization as an important factor in increasing the income of companies, including: the study of factors affecting costs; verification of compliance of technological processes with standards; calculation of the optimal load of production workshops; identify the causes of work interruptions; monitoring for defects during shipment or receipt of goods; the issue of overloading the warehouse was studied and considered. The article then provides suggestions and recommendations for cost analysis and optimization
Methods of Fertilizing Mulberry Trees to Feed Mulberry Silkworms in Surkhandarya Climate
Today, the opportunities for further development of the Uzbek economy are very wide, and in our opinion, there is another untapped opportunity. It does not require a large investment, preparation or scientific solutions. This ancillary (additional) sector does not require special land, irrigation facilities and training. It is a mulberry tree that grows in drought-tolerant, high-salinity or sandy soils. It can be maintained around roads, ditches and ditches, near apartment buildings, and in unused state reserves. Mulberry has been harvested twice a year for thousands of years, and when its leaves are cut with a twig in the spring, it is possible to grow the leaves as a feed to re-feed the silkworm both in summer and autumn. In addition, silkworms can be used to grow cocoons from mulberry leaves, raisins, halva, juice, jam (vareng'e), musallas can be obtained from the fruit, and mulberry grass is also used as fuel. Our people have known for a thousand years that high-quality natural silk fabrics are grown through deep processing of silkworm cocoons. It is woven at home from fabrics such as satin and adras. Fertilizing mulberry trees is very important
Анализ Устойчивости Аякчинской Грунтовой Плотины При Сейсмических Нагрузках
На основе разработанной методики и комплекса прикладных программ методом конечных решена задача по определению напряженного состояния высокой грунтовой плотины при сейсмичности района расположения в 8-9 баллов с учетом конструктивных особенностей и реальных неоднородных физико-механических характеристик грунта
Public Health Expenditure and Economic Growth Nexus in South Asia
This study aims to analyze the nexus between public health expenditure and economic growth. For this purpose, the panel data has been utilized over the period from 1995 to 2018 for seven South Asian countries. Public health expenditures have been used as independent variables, economic growth (GDP per capita) as dependent variable, and HDI, labor force, life expectancy and infant mortality as control variables. Granger causality test was applied for prediction, and the analysis was conducted panel cointegration test and panel cointegration regression FMOLS technique. Panel cointegration regression FMOLS estimator investigated the study existence of statistically significant long run relationship between economic growth and public health expenditure. The results of the panel cointegration regression FMOLS analysed that long-term economic growth is positively and significantly affected by public health expenditure, HDI, labor force, life expectancy, and infant mortality. Close values of long-run coefficients for all estimations confirm the robustness of the estimated results. The study investigated public health expenditure is positively and significantly impact on economic growth. The study provides specific evidence to policymakers that increased public health expenditure contributes to increased countries economic growth