A Technology Proposal for a Management Information System for the Director’s Office, NAL.

This technology proposal attempts in giving a viable solution for a Management Information System (MIS) for the Director's Office. In today's IT scenario, an Organization's success greatly depends on its ability to get accurate and timely data on its operations of varied nature and to manage this data effectively to guide its activities and meet its goals. To cater to the information needs of an Organization or an Office like the Director's Office, information systems are developed and deployed to gather and process data in ways that produce a variety of information to the end-user. MIS can therefore can be defined as an integrated user-machine system for providing information to support operations, management and decision-making functions in an Organization. The system in a nutshell, utilizes computer hardware and software, manual procedures, models for analysis planning, control and decision-making and a database. Using state-of-the-art front-end and back-end web based tools, this technology proposal attempts to provide a single-point Information Management, Information Storage, Information Querying and Information Retrieval interface to the Director and his office for handling all information traffic flow in and out of the Director's Office

I ritmi dei risvegli. Focillon e Baltrušaitis, un percorso formale dalle radici comuni

Il testo di Maddalena Mazzocut-Mis dal titolo "I ritmi dei risvegli. Focillon e Baltrušaitis: un percorso formale dalle radici comuni" fa parte di "Nel cuore della meraviglia" [Atti del convegno, marzo 2000] a cura di Isabelle Mallez e Raffaele Milani, "Quaderni di PsicoArt", n. 1, 2010

Embedded intelligence for electrical network operation and control

Integrating multiple types of intelligent, mulitagent data analysis within a smart grid can pave the way for flexible, extensible, and robust solutions to power network management

Optimal Dynamic Distributed MIS

Finding a maximal independent set (MIS) in a graph is a cornerstone task in distributed computing. The local nature of an MIS allows for fast solutions in a static distributed setting, which are logarithmic in the number of nodes or in their degrees. The result trivially applies for the dynamic distributed model, in which edges or nodes may be inserted or deleted. In this paper, we take a different approach which exploits locality to the extreme, and show how to update an MIS in a dynamic distributed setting, either \emph{synchronous} or \emph{asynchronous}, with only \emph{a single adjustment} and in a single round, in expectation. These strong guarantees hold for the \emph{complete fully dynamic} setting: Insertions and deletions, of edges as well as nodes, gracefully and abruptly. This strongly separates the static and dynamic distributed models, as super-constant lower bounds exist for computing an MIS in the former. Our results are obtained by a novel analysis of the surprisingly simple solution of carefully simulating the greedy \emph{sequential} MIS algorithm with a random ordering of the nodes. As such, our algorithm has a direct application as a $3$-approximation algorithm for correlation clustering. This adds to the important toolbox of distributed graph decompositions, which are widely used as crucial building blocks in distributed computing. Finally, our algorithm enjoys a useful \emph{history-independence} property, meaning the output is independent of the history of topology changes that constructed that graph. This means the output cannot be chosen, or even biased, by the adversary in case its goal is to prevent us from optimizing some objective function.Comment: 19 pages including appendix and reference

“The factors that influence the effectiveness of the promotional activities at Binaraya PKINK Sdn Bhd“ / Khairiyatul Mu’minah Mis

Fluctuation of market nowadays gives impacts to the people. The demand of house projects decrease due to the increase of related cost of the projects. Due to that, the researcher conducted this study to identify the factors that influencing the effectiveness of promotional activities at BINARAYA Pkink Sdn. Bhd. The factors and also the independent variables are advertising, online marketing and personal selling. Dependent variable is the effectiveness of promotional activities. The objective of this study is to examine the impact of each independent variable to its dependent variable as well as to conclude the relationships exist. The researcher used exploratory research design as it attempts to determine the effectiveness of promotional activities. At the same time it also determines the degree to which variables are associated. In collecting the data, the researcher obtains from primary from questionnaires, interviews and observation while secondary data collected from journals, articles, books, reports and internet. Simple random sampling was used for this study as it allows obtaining a sample of convenient elements as well as accessible, easy to measure and cooperative. Due to that, 100 respondents selected randomly to answer questionnaires which the researcher focused on BINARAYA's staffs and clients. Then the researcher analyzed the data from questionnaires using Statistical Package for Social Science 14.0 Students Version. Data was interpreted and test using frequency distribution analysis. Correlation analysis, correlation coefficient and simple regression used to test hypotheses. The results show that all three independent variables have positive relationships with dependent variables. In terms of regression analysis, the most effective promotional activity is advertising and the most ineffective promotional activity is online marketing. Recommendations outline by the researcher are active online marketing program widely. The BINARAYA can stress on the website and update the latest news about current projects. Then, the BINARAYA can pursue with creative advertising seems it's attract more than other promotional activitie

An Analysis of Data Quality Defects in Podcasting Systems

Podcasting has emerged as an asynchronous delay-tolerant method for the distribution of multimedia files through a network. Although podcasting has become a popular Internet application, users encounter frequent information quality problems in podcasting systems. To better understand the severity of these quality problems, we have applied the Total Data Quality Management methodology to podcasting. Through the application of this methodology we have quantified the data quality problems inherent within podcasting metadata, and performed an analysis that maps specific metadata defects to failures in popular commercial podcasting platforms. Furthermore, we extracted the Really Simple Syndication (RSS) feeds from the iTunes catalog for the purpose of performing the most comprehensive measurement of podcasting metadata to date. From these findings we attempted to improve the quality of podcasting data through the creation of a metadata validation tool - PodCop. PodCop extends existing RSS validation tools and encapsulates validation rules specific to the context of podcasting. We believe PodCop is the first attempt at improving the overall health of the podcasting ecosyste

The extraction of frequency information from electrical stimulation of the medial geniculate body.

This study sought to determine if the generalization gradient obtained along the frequency dimension of acoustic clicks would be similar for a group of rabbits simultaneously conditioned to stimuli consisting of 15 pulses of brain stimulation per second and 25 clicks per second, and a group of rabbits conditioned to stimuli consisting of 15 and 25 acoustic clicks per second. A summated generalization gradient along the frequency dimension of acoustic clicks was obtained from rabbits conditioned to ESB and acoustic clicks if the electrode tips were located in the medial geniculate body. If the electrode tips were located in nonauditory brain structures (e.g., optic tract, lateral geniculate body, midbrain reticular formation), the generalization gradient obtained along the frequency dimension of acoustic clicks resembled one obtained from a group of rabbits initially conditioned to a stimulus consisting of 25 acoustic clicks per second. The results are discussed in terms of providing evidence for a frequency theory of learning and questioning the usefulness of a labeled lines code for carrying information within the central nervous system