Adaptive Wireless Networking

This paper presents the Adaptive Wireless Networking (AWGN) project. The project aims to develop methods and technologies that can be used to design efficient adaptable and reconfigurable mobile terminals for future wireless communication systems. An overview of the activities in the project is given. Furthermore our vision on adaptivity in wireless communications and suggestions for future activities are presented

THE ANALYSIS OF INFORMATICS SECURITY COSTS IN CITIZEN ORIENTED APPLICATIONS

The paper highlights the analysis of informatics security costs for the citizen oriented applications. The citizen oriented informatics applications are defined. The differences brought by these when compared with the traditional applications are described. Structures of citizen oriented informatics applications are presented. A few common citizen oriented applications are discussed. The special security requirements of the citizen oriented applications are discussed. Ways of increasing the security of the applications are given.security, cost, estimation, citizen orientation, distributed applications

PROCESS SIMULATION IN SUPPLY CHAIN USING LOGWARE SOFTWARE

The authors present basis of simulation usage in managerial decisionsupport focusing on the supply chain processes. In the beginning the need for simulationis presented, then advantages and disadvantages of simulation experiments and thesimulation tools juxtaposition. Finally the chances of supply chain process simulationusing Logware software are presented.simulation, supply chain

MLPerf Inference Benchmark

Machine-learning (ML) hardware and software system demand is burgeoning. Driven by ML applications, the number of different ML inference systems has exploded. Over 100 organizations are building ML inference chips, and the systems that incorporate existing models span at least three orders of magnitude in power consumption and five orders of magnitude in performance; they range from embedded devices to data-center solutions. Fueling the hardware are a dozen or more software frameworks and libraries. The myriad combinations of ML hardware and ML software make assessing ML-system performance in an architecture-neutral, representative, and reproducible manner challenging. There is a clear need for industry-wide standard ML benchmarking and evaluation criteria. MLPerf Inference answers that call. In this paper, we present our benchmarking method for evaluating ML inference systems. Driven by more than 30 organizations as well as more than 200 ML engineers and practitioners, MLPerf prescribes a set of rules and best practices to ensure comparability across systems with wildly differing architectures. The first call for submissions garnered more than 600 reproducible inference-performance measurements from 14 organizations, representing over 30 systems that showcase a wide range of capabilities. The submissions attest to the benchmark's flexibility and adaptability.Comment: ISCA 202

Instruments to support decision competencies of an investment project manager

From among many competencies of a manager, the abilities of team, project and organization management become especially important. However, to make right decisions, one needs to have appropriate tools supporting effective company management. In case of companies carrying out investment, modernization or innovative projects, it is especially important. Implementation of those projects takes place in various conditions resulting from changing and turbulent environment. Thus, if the manager does not have sufficient information support, provided in time and allowing for effective decision making, which mitigates negative effects of previous actions, he is basically doomed to failure. In such a case, what decides about the situation in the project execution process is a coincidence, not intentional actions of the staff, based on their knowledge about potential risks. Such a knowledge, gained early enough, allows for taking more effective corrective actions. This paper is an attempt to define an operational model of a company along with principles of monitoring actions of an enterprise that carries out projects and functions in the current economic situation, illustrated by an example of a construction company. Its implementation is supposed to provide the managing staff with stores of information that efficiently support the company management process

Selection of Statistical Software for Solving Big Data Problems for Teaching

The need for analysts with expertise in big data software is becoming more apparent in 4 today’s society. Unfortunately, the demand for these analysts far exceeds the number 5 available. A potential way to combat this shortage is to identify the software sought by 6 employers and to align this with the software taught by universities. This paper will 7 examine multiple data analysis software – Excel add-ins, SPSS, SAS, Minitab, and R – and 8 it will outline the cost, training, statistical methods/tests/uses, and specific uses within 9 industry for each of these software. It will further explain implications for universities and 10 students (PDF