Institutional support of a smart city

The purpose of this study is to determine the conditions of institutional support for the digitization of the urban environment. The paper identifies the main features and analyzes the conditions for the effective functioning of smart cities. The main characteristics of the smart city are revealed: they are people-oriented, use data in a digital format and are based on bottom-up innovations. The paper considers the systematization of the principles and ideas of the theory of institutional modeling from the simplest level of modeling, and ending with the most difficult level consisting in describing the evolution of institutions. The importance of applying such an approach to the study of the institutional support of smart cities is shown. As part of the study of the leading cities in the field of building smart urban environment, priorities, institutions and goals of intelligent development have been highlighted. The paper discusses the problems of the development of smart cities in Russia, presents a number of steps to solve them. The theoretical significance of the study consists in the development of approaches to the institutional support of a smart city. The practical significance of the research lies in the formation of possible future studies of rational economic management in the conditions of digital society. © 2019, Economic Laboratory for Transition Research. All rights reserved.Russian Foundation for Basic Research, RFBR: 18-00-00665The study was carried out with the financial support of the Russian Foundation for Basic Research, project No. 18-00-00665

EFEKTIVITAS PENGGUNAAN LEMBAR KERJA BERBASIS MASALAH DENGAN BANTUAN MICROSOFT EXCEL PADA MATA KULIAH PROGRAM KOMPUTER

Pengembangan lembar kerja (LK) merupakan suatu hal yang dapat mendukung proses kegiatan belajar mengajar di dunia pendidikan. Lembar Kerja  yang dibuat secara efektif dan sistematis serta fleksibel dapat membantu mahasiswa untuk belajar lebih efektif, aktif secara mandiri maupun berkelompok, sehingga diharapkan dapat meningkatkan kemandirian, keaktifan dan motivasi mahasiswa dalam proses pembelajaran pada mata kuliah program komputer. Lembar kerja yang dibuat biasanya hanya dapat diselesaikan dengan cara konvensional saja, yaitu siswa mengerjakan secara tertulis permasalahan-permasalahan yang terdapat pada lembar kerja tersebut, sehingga mahasiswa hanya terfokus pada kemampuan mahasiswa dalam memecahkan masalah saja sehingga kemampuan berpikir kreatif dan kritis mahasiswa kurang berkembang. Lembar kerja yang dikembangkan pada penelttian ini yaitu lembar kerja yang tidak hanya memfokuskan mahasiswa dalam penyelesaian masalah matematika saja, tetapi untuk merangsang kemampuan berpikir kritis dan kreatif mahasiswa dalam memecahkan masalah-masalah dalam kehidupan sehari-hari yang dapat diselesaikan dengan bantuan Software Microsoft  Excel.  Tujuan penelitian ini yaitu untuk mengetahui efektivitas penggunaan lembar kerja berbasis masalah pada perkuliahan program komputer dengan bantuan Ms. Excel  dan mengetahui self regulated learning mahasiswa dalam memecahkan masalah matematika pada mata kuliah program komputer dengan bantuan Ms. Excel. Metode yang digunakan pada penelitian ini yaitu metode pengembangan atau research and Development. Populasi pada penelitian ini adalah seluruh mahasiswa program studi pendidikan matematika angkatan 2016 dan peneliti mengambil 1 kelas untuk dijadikan subjek penelitian sebanyak 42 orang. Instrumen yang digunakan pada penelitian ini meliputi soal tes hasil belajar dan angket self regulated learning (SRL). Tes hasil belajar dan angket self regulated learning dianalisis secara kualitatif.  Keywords: Lembar Kerja, Pembelajaran Berbasis Masalah, Self regulated learning, dan Microsoft  Excel

An Accurate Approximation of Resource Request Distributions in Millimeter Wave 3GPP New Radio Systems

The recently standardized millimeter wave-based 3GPP New Radio technology is expected to become an enabler for both enhanced Mobile Broadband (eMBB) and ultra-reliable low latency communication (URLLC) services specified to future 5G systems. One of the first steps in mathematical modeling of such systems is the characterization of the session resource request probability mass function (pmf) as a function of the channel conditions, cell size, application demands, user location and system parameters including modulation and coding schemes employed at the air interface. Unfortunately, this pmf cannot be expressed via elementary functions. In this paper, we develop an accurate approximation of the sought pmf. First, we show that Normal distribution provides a fairly accurate approximation to the cumulative distribution function (CDF) of the signal-to-noise ratio for communication systems operating in the millimeter frequency band, further allowing evaluating the resource request pmf via error function. We also investigate the impact of shadow fading on the resource request pmf.Comment: The 19th International Conference on Next Generation Wired/Wireless Networks and Systems (New2An 2019

Analysis of multi-resource loss system with state-dependent arrival and service rates

In this paper, we study a generalization of the classical multi-dimensional Erlang loss model with state-dependent arrival and service rates, in which customers at arrival occupy random quantities of various resources and release them at departure. Total amount of resources allocated to customers cannot exceed predefined maximum levels. There can be two types of customers: positive customers, which occupy positive quantities of resources, and negative customers, which occupy negative quantities of resources. Negative customers increase the amount of resources available to positive customers and therefore decrease blocking of positive customers caused by lack of resources. © Cambridge University Press 2017

Blocking probabilities in multiservice networks with unicast and multicast connections

This paper is concerned with blocking probabilities in loss networks where both multicast and unicast connections are present. Each connection specifies a route and a bandwidth requirement. Multicast connections are point-to-multipont and allow transmission from one source to several receivers, any of which can join the connection at any time. Users that subscribe to the same data stream share one multicast connection so that no additional bandwidth is required. We present a Markov process model of a single network link. We also develop a convolution algorithm that finds the blocking probabilities on a single link and a reduced load approximation for estimating end-to-end blocking probabilities in a network. Blocking probability, loss network, multicast, reduced load approximation

On the resource allocation problem for a multiservice network link with unicast and multicast connections

This paper is concerned with the resource allocation problem for a multiservice network link with unicast and multicast connections. The objective is to allocate capacity on the link such that the carried load is maximized. We develop an approximate method to solve the problem and also present an estimation of its accuracy and some numerical results. ©2009 IEEE

Tool for the routing planning in a large-scale signaling network

This paper describes a planning tool that efficiently supports the design and validation of the SS7 network routing plan at the MTP3 level. The tool incorporates the planning methodology based on graph theoretical methods. These methods have been developed during the recent years within the projects aimed at the dimensioning and planning of the large-scale SS7 networks of Russian operators. © 2003, Institute of Electrical and Electronics Engineers Inc. All rights reserved

Analysis of loss systems with overlapping resource requirements

In this paper, a queueing system with multicast service, random resource requirements and general probability distributions of busy and idle periods is considered. Motivated by challenges from practical applications in the area of performance analysis of telecommunication systems, the model is built on the basis of well-known resource queueing systems theory. Two distinctive features of the model related to resource requirements are: the volume of a requirement, which is random with a given probability distribution function, and the resource requirements which overlap with each other. The first feature comes from the analysis of wireless networks, where the volume of resource depends on the location of the mobile equipment, type of telecommunication service, required data bitrate and radio signal path loss. The second feature relates to the multicast approach to data delivery in modern telecommunication networks. The stationary probability distribution of the number of customers in the system is derived. The main characteristics for the performance analysis of multicast telecommunication systems including the blocking probability, the mean number of customers in the system and the mean of the total amount of occupied resources are proposed. The analytical formulas for the performance calculations are obtained for the Fréchet-type distribution of a requested resources volume. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature

Analysis of the Limited Resources Queuing System with Signals and Multiple Flows of Customers

In the paper, a wireless network is modelled in terms of multiserver queuing system with limited resources, random resource requirements and signals that trigger resource reallocation procedure. For the queuing system, we derive the set of balance equations and propose the solution method. Moreover, the formulas for main performance measures are obtained

On the resource allocation problem for a multiservice network link with unicast and multicast connections

This paper is concerned with the resource allocation problem for a multiservice network link with unicast and multicast connections. The objective is to allocate capacity on the link such that the carried load is maximized. We develop an approximate method to solve the problem and also present an estimation of its accuracy and some numerical results. ©2009 IEEE