Generator of formats of group telemetry signal for measurement systems with a software-controlled method of data collection

Author(s):  
А.П. Мороз ◽  
Г.Е. Полехина ◽  
А.И. Полехин

Предложен и обоснован алгоритм работы генератора форматов (ГФ) кадра для систем программируемой телеметрии. Алгоритм относится к новому классу алгоритмов, использующих принцип текущей фазы, отличается уменьшенной сложностью вычислений и минимальным объемом программ измерений (ПИ), что упрощает задачу подготовки ПИ и уменьшает объем памяти для их хранения. An algorithm for the operation of a frame format (GF) generator for programmable telemetry systems is proposed and substantiated. The algorithm belongs to a new class of algorithms using the principle of the current phase, it is distinguished by a reduced computational complexity and a minimum volume of measurement programs (PI), which simplifies the task of preparing PI and reduces the amount of memory for their storage.

Author(s):  
А.П. Мороз ◽  
Г.Е. Полехина ◽  
А.И. Полехин

Рассматриваются математические критерии задачи корректного размещения адресов информационных источников в едином периодическом ряду команд опроса для бортовой телеметрии с программно управляемым способом сбора. Математическое описание задачи выполнено с использованием аппарата теории чисел, - сравнений. Предлагается и обосновывается дополнительный критерий и графическая модель процесса размещения адресов. Mathematical criteria for the problem of correct placement of information source addresses in a single periodic row of polling commands for onboard telemetry with a program-controlled collection method are considered. The mathematical description of the problem is carried out using the apparatus of number theory - comparisons. An additional criterion and a graphical model of the address allocation process are proposed and substantiated.


Author(s):  
Miroslaw Staron ◽  
Wilhelm Meding ◽  
Kent Niesel ◽  
Ola Söder

Measurement data can be used for decision support in multiple ways – from one-time, manual data collection/presentation (reporting) through flexible business intelligence solutions to online, automated measurement systems. In centralized organizations, the measurement data is often collected through reporting, but the trends in modern organizations with empowered teams, globalized development, and needs to monitor continuously longer supply chains requires shift in the design and use of measurement systems. In this chapter, we present a study of evolving measurement systems at three companies with global businesses – Ericsson, Volvo Cars, and Axis Communications. The results of the study include the identification of the timeline of the evolution, distinct generations of measurement systems and information needs in the different phases of the evolution. The experiences show how to evolve centralized decision support systems to support global and distributed decision support.


Author(s):  
Nathan Eng ◽  
Filippo A. Salustri

This paper describes the extension of a multivariate scatter plot for qualitative use. The plot combines effective diagramming practices and modified axis dimensions to cohesively summarize qualitative analysis in the early, unstructured stages of design. The rugplot is a flexible tool that improves understanding of the “hard” limits of the problem, self-imposed “false” constraints, and directions for concept modification and recombination. An example is given with Product Lifecycle Management (PLM) software that makes the case for the introduction of a new class of tools. Improvements are still needed to streamline data collection and to automate graph generation.


2018 ◽  
Vol 8 (4) ◽  
pp. 46
Author(s):  
Diego F. G. Coelho ◽  
Renato J. Cintra ◽  
Fábio M. Bayer ◽  
Sunera Kulasekera ◽  
Arjuna Madanayake ◽  
...  

This paper introduced a matrix parametrization method based on the Loeffler discrete cosine transform (DCT) algorithm. As a result, a new class of 8-point DCT approximations was proposed, capable of unifying the mathematical formalism of several 8-point DCT approximations archived in the literature. Pareto-efficient DCT approximations are obtained through multicriteria optimization, where computational complexity, proximity, and coding performance are considered. Efficient approximations and their scaled 16- and 32-point versions are embedded into image and video encoders, including a JPEG-like codec and H.264/AVC and H.265/HEVC standards. Results are compared to the unmodified standard codecs. Efficient approximations are mapped and implemented on a Xilinx VLX240T FPGA and evaluated for area, speed, and power consumption.


Author(s):  
Lev Hnativ

A new class of fractal step functions with linear and nonlinear changes in values is described, and on their basis a recurrent method for constructing functions of a new class of fractal step multiwavelets (FSMW) of various shapes with linear and nonlinear changes in values is developed. A method and an algorithm for constructing a whole family of basic FSMW systems have been developed. An algorithm for calculating the coefficients of a discrete multiwavelet transform based on a multiwavelet packet without performing convolution and decimated sampling operations, in contrast to the classical method, is presented. A method and algorithm for fast multiwavelet transform of low computational complexity has been developed, which, in comparison with the well-known classical Mall's algorithm, is 70 times less in multiplicative complexity, and 20 times less in additive complexity.


2018 ◽  
Vol 34 (3) ◽  
pp. 625-648 ◽  
Author(s):  
Joe Murphy ◽  
Paul Biemer ◽  
Chip Berry

Abstract This article discusses the critical and complex design decisions associated with transitioning an interviewer-administered survey to a self-administered, postal, web/paper survey. Our approach embeds adaptive, responsive, and tailored (ART) design principles and data visualization during a multi-phased data collection operation to project the outcomes of each phase in preparation for subsequent phases. This requires rapid decision making based upon experimental results using a data visualization system to monitor critical-to-quality (CTQ) metrics and facilitate projections of outcomes from the current phase of data collection to inform the design of the subsequent phase. We describe the objectives of the overall design, the features designed to address these objectives, components of the visual adaptive total design (ATD) system for monitoring quality components and relative costs in real time, and examples of the visualization elements and functionalities that were used in one case study. We also discuss subsequent initiatives to develop an interactive version of the monitoring tool and applications for other studies, including those employing adaptive, responsive, and tailored (ART) designs. Our case study is a series of pilot studies conducted for the Residential Energy Consumption Survey (RECS), sponsored by the U.S. Energy Information Administration (EIA).


Author(s):  
CHEONG HEE PARK ◽  
HONGSUK SHIM

Most traditional classifiers implicitly assume that data samples belong to at least one class among predefined several classes. However, all data patterns may not be known at the time of data collection or a new pattern can be emerging over time. In this paper, a new method is presented for monitoring the change in class distribution and detecting an emerging class. First a statistical significance test is designed which can signal for a change in class distribution. When an alarm for new class generation is set on, retrieval of new class members is performed using density estimation and entropy-based thresholding. Our experimental results demonstrate competent performances of the proposed method.


Cryptography ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. 9
Author(s):  
Luigi Accardi ◽  
Satoshi Iriyama ◽  
Koki Jimbo ◽  
Massimo Regoli

A new class of public key agreement (PKA) algorithms called strongly-asymmetric algorithms (SAA) was introduced in a previous paper by some of the present authors. This class can be shown to include some of the best-known PKA algorithms, for example the Diffie–Hellman and several of its variants. In this paper, we construct a new version of the previous construction, called SAA-5, improving it in several points, as explained in the Introduction. In particular, the construction complexity is reduced, and at the same time, robustness is increased. Intuitively, the main difference between SAA-5 and the usual PKA consists of the fact that in the former class, B (Bob) has more than one public key and A (Alice) uses some of them to produce her public key and others to produce the secret shared key (SSK). This introduces an asymmetry between the sender of the message (B) and the receiver (A) and motivates the name for this class of algorithms. After describing the main steps of SAA-5, we discuss its breaking complexity assuming zero complexity of discrete logarithms and the computational complexity for both A and B to create SSK.


2019 ◽  
Vol 14 (1) ◽  
pp. 65-84
Author(s):  
Pratiwi ◽  
Elok Kurniawati

This study aims to analyze the development of performance measurement systems at PT Malindo Feedmill Tbk and to find out the application of Balance Scorecard as a performance measurement system at PT Malindo Feedmill Tbk. This performance measurement is seen from a financial and non-financial perspective. This research was obtained from interviews, distributing questionnaires and observations. Data collection uses primary and secondary data. Primary data obtained from respondents of employees and customers of PT Malindo Feedmill Tbk. Secondary data is obtained from the annual report of PT Malindo Feedmill Tbk. Analysis and interpretation of non-financial terms are said to be good. While in terms of nonfinancial, although there is a fluctuation of financial ratios, it can be said to be quite good.  


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