Search results

The purpose of this paper is to find the event memory characteristics hidden in trade data.

First, historical trade data are analyzed to define the events described by multi‐dimensional characteristic variables. The variables containing information are employed to build the event description patterns. Furthermore, a search engine is developed for calendar events, which can search for events in historical data and produce a collection of events. The search engine also extracts relevant system reaction phenomena described by trend distribution for each event pattern. Finally, both event patterns and system reactions construct the episodic memory model.

The event patterns and the system reactions are used to define the episodic memory model. The search methods for the episodic memory model obtained from trade data set are given.

Accessibility and availability of data are the main limitations affecting where the method can be applied.

The method is helpful for traders when judging the current trade situation from historical memory.

The paper presents a new episodic memory modeling method based on trade data.

Reliability of RAM memory systems is impaired by environmental disturbances, causing soft errors, whereby one data bit is transformed to another bit. Single‐error correcting codes with memory scrubbing offer the most effective method to recover from such errors. This paper analyzes the reliability and determines the MTTF for simplex and duplex memory systems with single‐error correction and/or soft‐error scrubbing recovery. It extends previous work on the deterministic scrubbing recovery of simplex memory systems by using a more general model that takes into account cancelling soft errors. In the duplex memory system an additional level of static redundancy is proposed by employing a decoding algorithm at the memory module level. The reliability analysis of the duplex system with soft‐error scrubbing takes into account the decoder output which upon scrubbing transforms words with a number of multiple errors to words with a different number of errors. Computer results show that this combination of data and system redundancy provides more reliability than either data or system redundancy alone.

Provides a comprehensive explanation of the following types of memory: conventional memory, expanded memory (EMS), and extended memory (XMS). Gives definitions of the terms real mode and protected mode, what they do and what they are used for. Concludes by explaining which combinations should be purchased for which machines by computer users needing to upgrade their memory.

Groups typically are composed of members with different knowledge, information, and expertise. Group discussion provides the means by which members can communicate their unique knowledge to reach better group decisions, develop a shared system for remembering and retrieving knowledge, and establish their expertise through enacted performance. In this chapter, three streams of research are reviewed that explore knowledge communication in groups: Hidden profiles, transactive memory systems, and a performative view of expertise. Each of these three research streams complements and informs the other. Across these three research streams, 10 major research findings are identified. We offer three research directions that include integrating these research streams, examining knowledge communication in the context of emerging technology (e.g., artificial intelligence), and studying effects of knowledge diversity in conjunction with surface-level diversity (e.g., member race).

Although the relation between individual and collective memory has been long established, analysis of individual memories is hardly existent within the social sciences outside of psychoanalysis and developmental psychology. Working to overcome this gap, the author argues that children’s lives are heavily influenced by the structures of collective memory they are born into, available to children through the complex system of inter- and intragenerational relationships from very early on.

Drawing on the concepts of generation (Karl Mannheim), generagency (Madelaine Leonard), and collective memory (Maurice Halbwachs), the author establishes that the practise of intergeneratonal exchange of memories within the family provides a way to influence and overcome the limiting of children’s agency by social stratification determined by age.

There is evidence that a stationary short memory process that encounters occasional structural break can show the properties of long memory processes or persistence behaviour which may lead to extreme weather condition. In this chapter, we applied three techniques for testing the long memory for six daily rainfall datasets in Kelantan area. The results explained that all the datasets exhibit long memory. An empirical fluctuation process was employed to test for structural changes using the ordinary least square (OLS)-based cumulative sum (CUSUM) test. The result also shows that structural change was spotted in all datasets. A long memory testing was then engaged to the datasets that were subdivided into their respective break and the results displayed that the subseries follows the same pattern as the original series. Hence, this indicated that there exists a true long memory in the data generating process (DGP) although structural break occurs within the data series.

This chapter extends the univariate forecasting method proposed by Wang, Luc, and Hsiao (2013) to forecast the multivariate long memory model subject to structural breaks. The approach does not need to estimate the parameters of this multivariate system nor need to detect the structural breaks. The only procedure is to employ a VAR(k) model to approximate the multivariate long memory model subject to structural breaks. Therefore, this approach reduces the computational burden substantially and also avoids estimation of the parameters of the multivariate long memory model, which can lead to poor forecasting performance. Moreover, when there are multiple breaks, when the breaks occur close to the end of the sample or when the breaks occur at different locations for the time series in the system, our VAR approximation approach solves the issue of spurious breaks in finite samples, even though the exact orders of the multivariate long memory process are unknown. Insights from our theoretical analysis are confirmed by a set of Monte Carlo experiments, through which we demonstrate that our approach provides a substantial improvement over existing multivariate prediction methods. Finally, an empirical application to the multivariate realized volatility illustrates the usefulness of our forecasting procedure.

This article addresses the issue of social representations of the past, focusing on the relation between collective memory and power. It is argued that cultural shapes of memories (i.e. a memorial, a monument, a diary, a public display) are the space and the place were power relations affect the social representation of the past. In this respect, the choice of representing a controversial past through a specific cultural form can be viewed as a good terrain were to study the process of selecting one of the competing versions of this past. This process, in fact, is closely related to the category of power. Particularly in case of controversial events (such as the Vietnam War, the Hiroshima bombing, the Bologna massacre, the Milan slaughter), Halbwachs’ and Namer’s analyses on the social construction of the past become particularly evident. In those cases there is a conflict among different versions of the past, that can be analysed by referring to the power relations among the different social groups related to that event. If collective memory is the content, and cultural objects are the form of this content, power is the key to understanding why a certain content embodied in a specific form has been selected in a specific context. Methodologically speaking, the notion of commemorative genre represents an useful key to understanding the articulation of power in relation to collective memories. The genre, in fact, can be viewed as a schema of perception, able to organise the process of classifying the competing representations of the past. In fact, if the arena where one version of an historical event successfully competes with another is represented by the cultural and symbolic field, the criteria of this competition are determined by the established genre of memorisation. By sketching the most pertinent dimensions to the understanding of the relations among cultural objects, collective memories and public discourse, it is here shown how the struggle over the most “adequate” social representation of a certain past (i.e. its cultural form) corresponds to a struggle over legitimacy.