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When implementing a system in which students can freely choose to study, it is very important for a New Normal student to correctly calculate the time or workload to spend on learning. One way to improve the management of higher education is to manage the learning process based on optimizion of calculation time of a student on course-related activities. Curricula with too much content and high emphasis on each content lead to high student workload. When the workload is too much, the student to get the grade performs the tasks with a lot of memorization without understanding the meaning, copying without thinking, so they learn passively. The property-determined workload is one of the important factors affecting student learning, so it is necessary to optimize calculation student workload. This article examines the student load and considers the possibility of using the Sphere packing approach to develop an optimal student workload calculation model. CCS Concepts • Mathematics of computing • Linear programming • General and reference • Empirical studies • Social and professional topics • Student assessment • Applied computing • Learning management systems Additional Keywords and Phrases: Student workload, Sphere packing approach, Computation optimization, Credit system, Higher education management, Business administration program ACM Reference Format: First Author’s Name, Initials, and Last Name, Second Author’s Name, Initials, and Last Name, and Third Author’s Name, Initials, and Last Name. 2018. The Title of the Paper: ACM Conference Proceedings Manuscript Submission Template: This is the subtitle of the paper, this document both explains and embodies the submission format for authors using Word. In Woodstock ’18: ACM Symposium on Neural Gaze Detection, June 03–05, 2018, Woodstock, NY. ACM, New York, NY, USA, 10 pages. NOTE: This block will be automatically generated when manuscripts are processed after acceptance.
In this paper Mongolia is one of the developing countries where a significant part of its economy is provided by using natural resources - especially from the mining sector. The Mongolian present situation is a period of fluctuation between advanced economic development and a way of decline, and it can be a reflection of the so-called “natural resource curse”. In general, the current natural resource dilemma causing the economic downturn is likely to be driven by external market forces such as mineral commodity prices volatility, and internal economic stresses which would result in a slowing growth, particularly from some of the Dutch disease effects. Keywords. Economic development, Mining, Dutch disease, economic growth.
In this paper Mongolia is one of the developing countries where a significant part of its economy is provided by using natural resources - especially from the mining sector. The Mongolian present situation is a period of fluctuation between advanced economic development and a way of decline, and it can be a reflection of the so-called “natural resource curse”. In general, the current natural resource dilemma causing the economic downturn is likely to be driven by external market forces such as mineral commodity prices volatility, and internal economic stresses which would result in a slowing growth, particularly from some of the Dutch disease effects.
National University of Commerce and Business When implementing a system in which students can freely choose to study, it is very important for a New Normal student to correctly calculate the time or workload to spend on learning. One way to improve the management of higher education is to manage the learning process based on optimizion of calculation time of a student on course-related activities. Curricula with too much content and high emphasis on each content lead to high student workload. When the workload is too much, the student to get the grade performs the tasks with a lot of memorization without understanding the meaning, copying without thinking, so they learn passively. The property-determined workload is one of the important factors affecting student learning, so it is necessary to optimize calculation student workload. This article examines the student load and considers the possibility of using the Sphere packing approach to develop an optimal student workload calculation model. CCS Concepts • Mathematics of computing • Linear programming • General and reference • Empirical studies • Social and professional topics • Student assessment • Applied computing • Learning management systems Additional Keywords and Phrases: Student workload, Sphere packing approach, Computation optimization, Credit system, Higher education management, Business administration program https://doi.org/10.1145/3561877.3561905
Нобелийн шагналт эдийн засагч Гари Бекерийн 1968 оны ажлаас эхлэн эдийн засагчид хувь хүмүүсийн рационал зан үйлийн загварыг ашиглан криминологийн салбарт нэвтэрч эхэлсэн. Судалгааны ажлын зорилго хугацаан цуваан өгөгдөлд суурилсан эмпирик шинжилгээний тусламжтайгаар нийт, тэр дундаа өмчлөх эрхийн эсрэг гэмт хэрэгт нөлөөлөх хүчин зүйлсийг тодорхойлоход оршино. Бекер (1968), Эрлих (1973) нарын боловсруулсан онолын хүрээнд үндэслэн эмпирик загвараа томьёолсон. Шинжилгээнд нийт гэмт хэргийн түвшин, өмчлөх эрхийн эсрэг гэмт хэргүүд дундаас хулгай, дээрэм, залилангийн гэмт хэргийг хамруулсан. Ажилгүйдэл нь 2009 оноос өмнө хулгайн гэмт хэрэгтэй ач холбогдол бүхий эерэг коинтеграцтай (буюу урт хугацааны хамааралтай) байсан. Харин 2009 оноос хойш энэ нөлөө арилсан. Эндээс, 2009 оноос өмнөх үед, урт хугацаанд ажилгүйдэл нь хулгайн гэмт хэрэгт сэдлийн (жишээ нь, хөдөлмөр эрхлэх боломж багассанаар энэ нь гэмт хэргийн үйл ажиллагааг өдөөдөг) нөлөө байсныг илэрхийлнэ.
Монгол Улсын банкны системд нөлөө бүхий банкуудын ашигт ажиллагаанд оюуны капиталын бүрэлдэхүүн болон хүмүүн капитал, бүтцийн капиталын ашиг, оруулсан капиталын үр ашгийн нөлөөг 2011-2021 оны санхүүгийн мэдээлэлд үндэслэн тооцлоо. Өгөгдлийг санамсаргүй болон тогтмол нөлөөллийн загвараар үнэллээ. Судалгааны үр дүнгээр хүмүүн капиталын үр ашиг нь нийт хөрөнгийн болон өмчийн өгөөжид эерэг нөлөө, бүтцийн капиталын үр ашиг нь нийт хөрөнгийн өгөөжид эерэг нөлөө, оруулсан капиталын үр ашиг нь өмчийн өгөөж, цэвэр хүүгийн түвшин, нийт хөрөнгийн өгөөжид аль алинд нь эерэг нөлөө үзүүлдэг болохыг харуулж байна.
In practice, maximizations of biconvex problems frequently occur in industrial applications, for example, in the field of multifacility location or medical image registration. We review theoretical results for biconvex sets and biconvex functions and survey existing methods and results for general biconvex optimization problems.
Neural networks have been successfully used for forecasting of financial data series. The classical methods used for time series prediction like Box-Jenkins or ARIMA assumes that there is a linear relationship between inputs and outputs. Neural Networks have the advantage that can approximate nonlinear functions.
Optimizing a company’s asset and capital structure has a positive effect on reducing capital costs and increasing the use of assets. In this paper, we consider optimization problem of a company’s asset and capital structure. The proposed model is formulated as a fractional programming problem. The problem was solved numerically on “Matlab” using data of Mongolian mining companies. Numerical results are provided.
Mongolia is a landlocked country with huge mineral resources, and the main driver of economic development is the mining sector. According to the numerical data of the sectors that make up the GDP, the mining and extraction sector accounts for an average of 21% over the last 10 years. Mining product export covers 85 percent of our country's total exports, of which coal alone accounts for 40 percent. Although our country is among the top 10 coal exporting countries, it is the only country that exports coal by land transportation. As of 2019, a total of 36.5 million tons of coal was exported, 99 percent of which was exported to China. Gashuun Sukhait Port is a strategically important port, starting from the territory of Tsogt-tsetsii sum of Umnugobi province, passing through the Tsagaan-Khad settlement area of Khanbogd Sum, and crossing the border with a total distance of 239 km. The installed capacity of this road is 3,000-4,000 cars, but in 2019, a total of 18,000 cars are transporting coal on this route, which has a negative impact on transportation time, costs, and border crossing. In this study, Analogic 5.0 software was used to calculate the cost and overall economic benefits of changing the existing bulk coal transport to containerized transport to determine the appropriate shipping volume. Key words: Transport efficiency, Coal transport, Container transport, Simulations.
Гэмт хэргийг эдийн засгийн үүднээс буюу ажилгүйдлийг оролцуулан судалсан судалгааны ажлууд цөөнгүй. Becker (1968), Ehrlich (1973) нар гэмт хэргийн үзэгдэлд дүн шинжилгээ хийж эхэлсэн нь хожмын ихэнх судалгаануудын суурь болсон байдаг. Иймд, Becker (1968), Ehrlich (1973) нарын боловсруулсан онолын загварт үндэслэн эмпирик загварыг томьёолж, тус загвар нь Монгол Улсын хувьд гэмт хэргийн хэлбэлзэл нь ажилгүйдлийн түвшинтэй холбоотой эсэхийг шалгах нь чухал ач холбогдолтой гэж үзэж байна.
Using data from the National Statistical Office of Mongolia, we use a machine learning algorithm to predict corruption in Mongolia between 2012 and 2014. We correctly identify more than 70 percent (slightly less than 80%) of the areas where corruption is on the rise (increased crime). The algorithm's hypothesis shows that the 2012 Mongolian Anti-Corruption Law can strengthen the ability to combat white market violations.
The paper deals with an application of survival theory in mineral processing industry. We consider the problem of maximizing copper recovery and determine the best operating conditions based on survival theory. The survival of the system reduces to a problem of maximizing a radius of a sphere inscribed into a polyhedral set de fined by the linear regression equations for a flotation process. To demonstrate the effectiveness of the proposed approach, we present a case study for the rougher flotation process of copper-molybdenum ores performed at the Erdenet Mining Corporation(Mongolia).
Groundwater is the most important natural resource required for drinking to many people around the world, especially in rural areas. For 14th khoroo of Khan-Uul district of Ulaanbaatar is only one khoroo with a pronounced five species of livestock (horse, camel, cattle, sheep and goats) and agriculture plays important role in the region, faces an increasing rural population, a growing livestock and agriculture sector that increase in the demand for residential and agricultural water. This research was focused on evaluation of groundwater quality in that area, through physicochemical analysis with view to determining is suitability for drinking and irrigation purposes. During the sampling periods, a total of 51 groundwater samples were collected from 46 deep wells and 5 shallow wells of researchable area, between October and November 2019. The depths of the wells were varied from 22 to 102 m. Samples were analysed for complete physicochemical characterization of drinking water from groundwater sources in suburb of Ulaanbaatar.
This paper was motivated by an industrial optimization problem arisen at the Erdenet Mining Corporation (Mongolia). The problem involved real industrial data turned out to be a quadratically constrained quadratic programming problem, which we solve by applying the global search theory for general DC programming. According to the theory, first, we obtain an explicit DC representation of the nonconvex functions involved in the problem. Second, we perform a local search that takes into account the structure of the problem in question. Further, we construct procedures for escaping critical points provided by the local search method. In particular, we propose a new way of constructing an approximation of the level set based on conjugated vectors. The computational simulation demonstrates that the proposed method is a quite flexible tool which can fast provide operations staff with good solutions to achieve the best performance according to specific requirements.
A continuous-time stochastic pension fund model is proposed in which there are n risky assets plus the risk-free asset as well as randomness in the level of benefit out-go control of the future flows of contributions. A high proportion of stocks in the portfolio has the benefit of a lower mean contribution level, but at the price of a higher time variation of contribution flows. This paper models the trade-off in an inter-temporal framework and uses of stochastic control to obtain an optimal asset allocation-between a risky asset and a riskless asset- and the contribution policy. The solution in the case of a defined benefit scheme shows that the proportion of the risky asset and the level of contribution are both proportional to the difference between the maximum wealth necessary to fund all pensions, and the actual wealth of the pension fund. Illustrative simulations for France, US, Japan and Mongolia for various periods have been implemented.
Prior survey articles have primarily focused either on the historical branch or the forecasting branch. While these approaches have yielded useful insights, they do not attempt to synthesize the link between the two branches of the published literature. An obvious link between the two branches is that the Ohlson model begins with the Residual Income Model as an initial assumption. We believe that there are other links that need further emphasis. In the process, we also review the empirical issues and the evidence within these two branches. In particular, we draw inferences on the following question: on
Effective management of current asset management can increase profitability by reducing financial costs, although the amount of capital increases. It is necessary to finance working capital with as low interest rates as possible, having a working capital structure for mining companies can increase efficiency. Working capital performance provides critical insight into the state of a company’s financial position. As an important indicator of financial fitness, the availability of a company’s working capital is one of the first items a lender or savvy investor will examine on a balance sheet. Although working capital evokes a range of meanings, for the purpose of this study, it is defined as the net liquid assets (current assets minus current liabilities) available to an organization to meet liquidity needs in day to day operations.
We consider the maxmin problem which plays an important role in optimization and game theory.We derive new optimality conditions for a local guaranteed solution to the maxmin problem based on Dubovitzkii–Milyuton theory (Dubovitzkii and Milyuton in USSR Comput Math Math Phys 5:1–80, 1965).
Эрнст энд Янг компани дэлхийн томоохонд тооцогдох уул уурхайн 80 компанийн эргэлтийн хөрөнгөө удирдах үйл явцыг шинжлэхэд уул уурхайн компаниудад мөнгөн хөрөнгийн урсгалыг сайжруулах, зардлыг бууруулах хөшүүрэг болгох замаар эргэлтийн хөрөнгийг ашигладаггүй гэсэн дүгнэлтэд хүрчээ. Эргэлтийн хөрөнгийн үр ашигтай удирдлага хэрэгжүүлдэг компани нь хөрөнгийн хэмжээг нэмэгдүүлсэн хэдий ч санхүүгийн зардлыг бууруулах замаар ашигт ажиллагааг нэмэгдүүлэх боломжтой. Энэ нь эргэлтийн хөрөнгийг аль болох хүү багатай эх үүсвэрээр санхүүжүүлэх шаардлагатай, уул уурхайн компаниудын хувьд эргэлтийн хөрөнгийн зохистой бүтэцтэй байх нь үр ашгийг нэмэгдүүлэх боломжтойг харуулж байна
Бараа материалын оновчтой удирдлага компаниудад шийдэх асуудлын нэг юм. Бараа материалыг захиалгын оновчтой хэмжээ, түүнд үнийн хөнгөлөлт, инфляци нөлөөлөх зэрэг асуудлыг эрдэмтэд судалсан байдаг. Бараа материал захиалах асуудал нь агуулахын хэмжээнээс шууд хамааралтай. Иймд бид агуулахын хэмжээнээс хамаарч захиалгын оновчтой хэмжээг хэрхэн тодорхойлох талаар авч үзлээ.
